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Hey everyone, most of you are aware of

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Hey everyone, most of you are aware of
 

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Hey everyone, most of you are aware of
my passion for debunking anti-vaxers, a

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my passion for debunking anti-vaxers, a
 

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my passion for debunking anti-vaxers, a
task that has become quite the marathon

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task that has become quite the marathon
 

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task that has become quite the marathon
as of late given how mainstream and

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as of late given how mainstream and
 

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as of late given how mainstream and
institutionalized this brand of science

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institutionalized this brand of science
 

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institutionalized this brand of science
denial has become. Today's target is a

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denial has become. Today's target is a
 

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denial has become. Today's target is a
jerk named Aaron Siri. Who is he and

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jerk named Aaron Siri. Who is he and
 

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jerk named Aaron Siri. Who is he and
what lies does he tell? Let's get into

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what lies does he tell? Let's get into
 

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what lies does he tell? Let's get into
it. To put it plainly, vaccine hesitancy

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it. To put it plainly, vaccine hesitancy
 

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it. To put it plainly, vaccine hesitancy
is the highest it has ever been along

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is the highest it has ever been along
 

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is the highest it has ever been along
with the number of child deaths from

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with the number of child deaths from
 

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with the number of child deaths from
vaccine preventable diseases due

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vaccine preventable diseases due
 

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vaccine preventable diseases due
entirely to the volume of anti-vaccine

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entirely to the volume of anti-vaccine
 

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entirely to the volume of anti-vaccine
propaganda that is currently circulating

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propaganda that is currently circulating
 

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propaganda that is currently circulating
and the sheer number of frauds that

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and the sheer number of frauds that
 

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and the sheer number of frauds that
engage in it. Every time one figure gets

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engage in it. Every time one figure gets
 

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engage in it. Every time one figure gets
exposed and disgraced, three more pop up

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exposed and disgraced, three more pop up
 

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exposed and disgraced, three more pop up
behind them to spew similar narratives.

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behind them to spew similar narratives.
 

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behind them to spew similar narratives.
The goal of this propaganda campaign is

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The goal of this propaganda campaign is
 

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The goal of this propaganda campaign is
to villainize vaccines in a seemingly a

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to villainize vaccines in a seemingly a
 

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to villainize vaccines in a seemingly a
credible manner as possible. Fake

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credible manner as possible. Fake
 

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credible manner as possible. Fake
studies, deliberate distortions of real

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studies, deliberate distortions of real
 

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studies, deliberate distortions of real
studies, all aimed at eroding the

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studies, all aimed at eroding the
 

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studies, all aimed at eroding the
public's trust in legitimate health care

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public's trust in legitimate health care
 

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public's trust in legitimate health care
and disease prevention. The ringleader

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and disease prevention. The ringleader
 

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and disease prevention. The ringleader
of this circus sideshow is Bobby Kennedy

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of this circus sideshow is Bobby Kennedy
 

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of this circus sideshow is Bobby Kennedy
who is somehow still the head of HHS. As

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who is somehow still the head of HHS. As
 

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who is somehow still the head of HHS. As
the Sauron of this tale, he has many

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the Sauron of this tale, he has many
 

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the Sauron of this tale, he has many
underlings he can summon to perpetuate

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underlings he can summon to perpetuate
 

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underlings he can summon to perpetuate
his [\h__\h] narratives and a new

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his [\h__\h] narratives and a new
 

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his [\h__\h] narratives and a new
charlatan has recently shoved his face

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charlatan has recently shoved his face
 

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charlatan has recently shoved his face
into the public consciousness. Aaron

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into the public consciousness. Aaron
 

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into the public consciousness. Aaron
Siri is a litigation attorney who has

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Siri is a litigation attorney who has
 

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Siri is a litigation attorney who has
built a career challenging vaccine

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built a career challenging vaccine
 

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built a career challenging vaccine
policy, often representing anti-vax

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policy, often representing anti-vax
 

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policy, often representing anti-vax
propaganda organizations like Informed

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propaganda organizations like Informed
 

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propaganda organizations like Informed
Consent Action Network or ICAN founded

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Consent Action Network or ICAN founded
 

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Consent Action Network or ICAN founded
by grifter Del Bigtree, the jerk off who

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by grifter Del Bigtree, the jerk off who
 

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by grifter Del Bigtree, the jerk off who
gave us the Vaxxed pseudo-documentary.

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gave us the Vaxxed pseudo-documentary.
 

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gave us the Vaxxed pseudo-documentary.
Aaron's firm has made well over 10

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Aaron's firm has made well over 10
 

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Aaron's firm has made well over 10
million from ICAN since 2020. He's also

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million from ICAN since 2020. He's also
 

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million from ICAN since 2020. He's also
represented Bobby himself and even

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represented Bobby himself and even
 

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represented Bobby himself and even
played a role in Bobby's presidential

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played a role in Bobby's presidential
 

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played a role in Bobby's presidential
campaign. So he's part of the ragtag

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campaign. So he's part of the ragtag
 

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campaign. So he's part of the ragtag
crew of plucky underdogs standing up to

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crew of plucky underdogs standing up to
 

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crew of plucky underdogs standing up to
the corrupt vaccine religion. Of course,

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the corrupt vaccine religion. Of course,
 

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the corrupt vaccine religion. Of course,
let's not forget that these frauds make

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let's not forget that these frauds make
 

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let's not forget that these frauds make
a lot of money by sowing doubt about

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a lot of money by sowing doubt about
 

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a lot of money by sowing doubt about
vaccines that bring so much profit to

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vaccines that bring so much profit to
 

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vaccines that bring so much profit to
the evil pharma lizard people.

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the evil pharma lizard people.
 

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the evil pharma lizard people.
Organizations like ICAN and Bobby's

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Organizations like ICAN and Bobby's
 

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Organizations like ICAN and Bobby's
Children's Health Defense or CHD rake in

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Children's Health Defense or CHD rake in
 

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Children's Health Defense or CHD rake in
millions of dollars in revenue per year

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millions of dollars in revenue per year
 

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millions of dollars in revenue per year
and those numbers have climbed

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and those numbers have climbed
 

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and those numbers have climbed
dramatically post-COVID pandemic.

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dramatically post-COVID pandemic.
 

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dramatically post-COVID pandemic.
Whether donations from rich gullible

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Whether donations from rich gullible
 

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Whether donations from rich gullible
idiots or payoffs from alt health pseudo

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idiots or payoffs from alt health pseudo
 

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idiots or payoffs from alt health pseudo
wellness corporations which benefit from

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wellness corporations which benefit from
 

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wellness corporations which benefit from
public distrust of legitimate health

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public distrust of legitimate health
 

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public distrust of legitimate health
care that nudges them towards snake oil,

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care that nudges them towards snake oil,
 

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care that nudges them towards snake oil,
all of this anti-vaccine rhetoric spells

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all of this anti-vaccine rhetoric spells
 

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all of this anti-vaccine rhetoric spells
big bucks for these guys. They sell

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big bucks for these guys. They sell
 

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big bucks for these guys. They sell
books, they charge large speaking fees,

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books, they charge large speaking fees,
 

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books, they charge large speaking fees,
it's an entire industry that goes all

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it's an entire industry that goes all
 

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it's an entire industry that goes all
the way back to Andrew Wakefield and

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the way back to Andrew Wakefield and
 

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the way back to Andrew Wakefield and
other such shameless figures. These

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other such shameless figures. These
 

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other such shameless figures. These
frauds are essentially highly trained

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frauds are essentially highly trained
 

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frauds are essentially highly trained
influencers who sell their brand and

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influencers who sell their brand and
 

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influencers who sell their brand and
they do so at the expense of measurable

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they do so at the expense of measurable
 

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they do so at the expense of measurable
damage to public health. Just look at

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damage to public health. Just look at
 

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damage to public health. Just look at
the numbers for measles cases in the

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the numbers for measles cases in the
 

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the numbers for measles cases in the
United States. 2025 was by far the worst

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United States. 2025 was by far the worst
 

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United States. 2025 was by far the worst
year of the 21st century and 2026 is

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year of the 21st century and 2026 is
 

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year of the 21st century and 2026 is
already almost outpaced it just a few

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already almost outpaced it just a few
 

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already almost outpaced it just a few
months in.

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months in.
 

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months in.
Aaron has made so much money

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Aaron has made so much money
 

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Aaron has made so much money
representing these organizations that

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representing these organizations that
 

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representing these organizations that
he's begun to speak up himself. Why not

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he's begun to speak up himself. Why not
 

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he's begun to speak up himself. Why not
get some more free advertising for his

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get some more free advertising for his
 

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get some more free advertising for his
services after all? And as a lawyer who

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services after all? And as a lawyer who
 

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services after all? And as a lawyer who
gets paid to sound convincing while

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gets paid to sound convincing while
 

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gets paid to sound convincing while
lying, he's rather cut out for this sort

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lying, he's rather cut out for this sort
 

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lying, he's rather cut out for this sort
of gig. He testified in a Senate

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of gig. He testified in a Senate
 

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of gig. He testified in a Senate
hearing, he's even been on Joe Rogan to

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hearing, he's even been on Joe Rogan to
 

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hearing, he's even been on Joe Rogan to
absolutely nobody's surprise. So what's

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absolutely nobody's surprise. So what's
 

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absolutely nobody's surprise. So what's
his angle? As you'll see, his narratives

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his angle? As you'll see, his narratives
 

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his angle? As you'll see, his narratives
lean heavily on litigation to

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lean heavily on litigation to
 

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lean heavily on litigation to
manufacture an argument that sounds

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manufacture an argument that sounds
 

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manufacture an argument that sounds
scientific and evidence-based. Since he

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scientific and evidence-based. Since he
 

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scientific and evidence-based. Since he
isn't a scientist, he's a lawyer. His

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isn't a scientist, he's a lawyer. His
 

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isn't a scientist, he's a lawyer. His
arguments center around legal documents,

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arguments center around legal documents,
 

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arguments center around legal documents,
Freedom of Information Act responses,

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Freedom of Information Act responses,
 

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Freedom of Information Act responses,
and court filings, as well as using

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and court filings, as well as using
 

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and court filings, as well as using
constrictive legal terminology in order

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constrictive legal terminology in order
 

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constrictive legal terminology in order
to construct a plausible sounding

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to construct a plausible sounding
 

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to construct a plausible sounding
narrative. The main narrative he pedals

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narrative. The main narrative he pedals
 

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narrative. The main narrative he pedals
is that vaccines are inadequately

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is that vaccines are inadequately
 

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is that vaccines are inadequately
tested. He selectively defines the

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tested. He selectively defines the
 

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tested. He selectively defines the
meaning of words like placebo to mean

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meaning of words like placebo to mean
 

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meaning of words like placebo to mean
only salt water and this disingenuous

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only salt water and this disingenuous
 

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only salt water and this disingenuous
semantic approach is what gets him

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semantic approach is what gets him
 

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semantic approach is what gets him
theatrical legal wins so that he can

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theatrical legal wins so that he can
 

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theatrical legal wins so that he can
say, "Look, I won this case. See,

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say, "Look, I won this case. See,
 

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say, "Look, I won this case. See,
vaccines are bad because I won." The

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vaccines are bad because I won." The
 

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vaccines are bad because I won." The
core narratives he presents, like that

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core narratives he presents, like that
 

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core narratives he presents, like that
vaccines are inadequately tested and

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vaccines are inadequately tested and
 

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vaccines are inadequately tested and
shielded by design to obscure harm, all

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shielded by design to obscure harm, all
 

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shielded by design to obscure harm, all
boil down to a pattern of selectively

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boil down to a pattern of selectively
 

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boil down to a pattern of selectively
defining scientific terms and placing

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defining scientific terms and placing
 

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defining scientific terms and placing
them within a legal framework, not a

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them within a legal framework, not a
 

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them within a legal framework, not a
scientific one. Let's go over his

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scientific one. Let's go over his
 

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scientific one. Let's go over his
primary talking points from the Senate

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primary talking points from the Senate
 

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primary talking points from the Senate
hearing and his Rogan appearance and

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hearing and his Rogan appearance and
 

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hearing and his Rogan appearance and
explain why they do not stand up to

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explain why they do not stand up to
 

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explain why they do not stand up to
scrutiny. In doing so, we will

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scrutiny. In doing so, we will
 

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scrutiny. In doing so, we will
illustrate an important difference.

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illustrate an important difference.
 

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illustrate an important difference.
Science evaluates the totality of

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Science evaluates the totality of
 

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Science evaluates the totality of
evidence, randomized trials,

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evidence, randomized trials,
 

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evidence, randomized trials,
observational studies, mechanistic data,

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observational studies, mechanistic data,
 

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observational studies, mechanistic data,
and decades of real-world outcomes.

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and decades of real-world outcomes.
 

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and decades of real-world outcomes.
Legal arguments, by contrast, often

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Legal arguments, by contrast, often
 

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Legal arguments, by contrast, often
hinge on narrow definitions and

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hinge on narrow definitions and
 

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00:04:15,720 --> 00:04:17,830
hinge on narrow definitions and
procedural framing. And when you apply

246
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procedural framing. And when you apply
 

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procedural framing. And when you apply
that legal framing to scientific

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that legal framing to scientific
 

249
00:04:19,320 --> 00:04:21,270
that legal framing to scientific
questions, you can easily distort

250
00:04:21,270 --> 00:04:21,280
questions, you can easily distort
 

251
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questions, you can easily distort
science to fit your narrative. The

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science to fit your narrative. The
 

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science to fit your narrative. The
Senate hearing is very short, so let's

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Senate hearing is very short, so let's
 

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Senate hearing is very short, so let's
check that out first. Our vaccine

256
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check that out first. Our vaccine
 

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check that out first. Our vaccine
practice, I believe, which has over 40

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practice, I believe, which has over 40
 

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practice, I believe, which has over 40
professionals, I

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professionals, I
 

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professionals, I
doesn't represent pharmaceutical

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doesn't represent pharmaceutical
 

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doesn't represent pharmaceutical
companies, I believe is the largest

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companies, I believe is the largest
 

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companies, I believe is the largest
vaccine practice in the world. When we

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vaccine practice in the world. When we
 

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vaccine practice in the world. When we
litigate vaccine cases, we cannot rely

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litigate vaccine cases, we cannot rely
 

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litigate vaccine cases, we cannot rely
on credentials or fancy titles.

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00:04:40,350 --> 00:04:40,360
on credentials or fancy titles.
 

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on credentials or fancy titles.
We have to prove our claims with

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We have to prove our claims with
 

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We have to prove our claims with
high-impact data and sources. We're

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high-impact data and sources. We're
 

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high-impact data and sources. We're
nothing like those ivory tower elites

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00:04:48,190 --> 00:04:48,200
nothing like those ivory tower elites
 

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nothing like those ivory tower elites
with their fancy titles and legitimate

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00:04:50,270 --> 00:04:50,280
with their fancy titles and legitimate
 

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00:04:50,280 --> 00:04:52,150
with their fancy titles and legitimate
scientific knowledge. We're just the

280
00:04:52,150 --> 00:04:52,160
scientific knowledge. We're just the
 

281
00:04:52,160 --> 00:04:54,670
scientific knowledge. We're just the
ragtag underdogs making millions of

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ragtag underdogs making millions of
 

283
00:04:54,680 --> 00:04:57,230
ragtag underdogs making millions of
dollars on sham lawsuits. Remember

284
00:04:57,230 --> 00:04:57,240
dollars on sham lawsuits. Remember
 

285
00:04:57,240 --> 00:04:59,430
dollars on sham lawsuits. Remember
lawyer jokes? Remember when the public

286
00:04:59,430 --> 00:04:59,440
lawyer jokes? Remember when the public
 

287
00:04:59,440 --> 00:05:01,790
lawyer jokes? Remember when the public
used to view lawyers as shady grifters

288
00:05:01,790 --> 00:05:01,800
used to view lawyers as shady grifters
 

289
00:05:01,800 --> 00:05:03,390
used to view lawyers as shady grifters
rather than white knights fighting

290
00:05:03,390 --> 00:05:03,400
rather than white knights fighting
 

291
00:05:03,400 --> 00:05:06,110
rather than white knights fighting
oppression? But sure, high-impact data

292
00:05:06,110 --> 00:05:06,120
oppression? But sure, high-impact data
 

293
00:05:06,120 --> 00:05:08,070
oppression? But sure, high-impact data
and sources, you're all about the data,

294
00:05:08,070 --> 00:05:08,080
and sources, you're all about the data,
 

295
00:05:08,080 --> 00:05:10,150
and sources, you're all about the data,
we get it. Let's hear about the data.

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00:05:10,150 --> 00:05:10,160
we get it. Let's hear about the data.
 

297
00:05:10,160 --> 00:05:13,270
we get it. Let's hear about the data.
For example, I saw a slide put up that

298
00:05:13,270 --> 00:05:13,280
For example, I saw a slide put up that
 

299
00:05:13,280 --> 00:05:15,750
For example, I saw a slide put up that
showed 3 million lives were saved from

300
00:05:15,750 --> 00:05:15,760
showed 3 million lives were saved from
 

301
00:05:15,760 --> 00:05:18,510
showed 3 million lives were saved from
COVID-19 vaccines. The citation to it

302
00:05:18,510 --> 00:05:18,520
COVID-19 vaccines. The citation to it
 

303
00:05:18,520 --> 00:05:19,910
COVID-19 vaccines. The citation to it
was to the Commonwealth Fund. If you

304
00:05:19,910 --> 00:05:19,920
was to the Commonwealth Fund. If you
 

305
00:05:19,920 --> 00:05:21,750
was to the Commonwealth Fund. If you
follow that, that's not a peer-reviewed

306
00:05:21,750 --> 00:05:21,760
follow that, that's not a peer-reviewed
 

307
00:05:21,760 --> 00:05:25,310
follow that, that's not a peer-reviewed
study. That's a blog. It's a blog that

308
00:05:25,310 --> 00:05:25,320
study. That's a blog. It's a blog that
 

309
00:05:25,320 --> 00:05:28,270
study. That's a blog. It's a blog that
used a mathematical model to calculate

310
00:05:28,270 --> 00:05:28,280
used a mathematical model to calculate
 

311
00:05:28,280 --> 00:05:30,430
used a mathematical model to calculate
that 3 million lives were saved. Cool

312
00:05:30,430 --> 00:05:30,440
that 3 million lives were saved. Cool
 

313
00:05:30,440 --> 00:05:31,990
that 3 million lives were saved. Cool
story, bro. Well, I don't know what

314
00:05:31,990 --> 00:05:32,000
story, bro. Well, I don't know what
 

315
00:05:32,000 --> 00:05:33,950
story, bro. Well, I don't know what
Commonwealth Fund is and I don't care.

316
00:05:33,950 --> 00:05:33,960
Commonwealth Fund is and I don't care.
 

317
00:05:33,960 --> 00:05:35,950
Commonwealth Fund is and I don't care.
COVID vaccines objectively saved

318
00:05:35,950 --> 00:05:35,960
COVID vaccines objectively saved
 

319
00:05:35,960 --> 00:05:37,790
COVID vaccines objectively saved
millions of lives, far more than 3

320
00:05:37,790 --> 00:05:37,800
millions of lives, far more than 3
 

321
00:05:37,800 --> 00:05:40,230
millions of lives, far more than 3
million in fact, as is clearly outlined

322
00:05:40,230 --> 00:05:40,240
million in fact, as is clearly outlined
 

323
00:05:40,240 --> 00:05:41,790
million in fact, as is clearly outlined
in many peer-reviewed studies from

324
00:05:41,790 --> 00:05:41,800
in many peer-reviewed studies from
 

325
00:05:41,800 --> 00:05:43,430
in many peer-reviewed studies from
various countries around the world,

326
00:05:43,430 --> 00:05:43,440
various countries around the world,
 

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00:05:43,440 --> 00:05:45,190
various countries around the world,
which I've shared in previous videos

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00:05:45,190 --> 00:05:45,200
which I've shared in previous videos
 

329
00:05:45,200 --> 00:05:47,470
which I've shared in previous videos
debunking anti-vax frauds. I'll link to

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00:05:47,470 --> 00:05:47,480
debunking anti-vax frauds. I'll link to
 

331
00:05:47,480 --> 00:05:49,150
debunking anti-vax frauds. I'll link to
some of those in the description in case

332
00:05:49,150 --> 00:05:49,160
some of those in the description in case
 

333
00:05:49,160 --> 00:05:50,710
some of those in the description in case
Aaron wants to take a look at them

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00:05:50,710 --> 00:05:50,720
Aaron wants to take a look at them
 

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00:05:50,720 --> 00:05:52,030
Aaron wants to take a look at them
instead of pretending that this

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00:05:52,030 --> 00:05:52,040
instead of pretending that this
 

337
00:05:52,040 --> 00:05:54,310
instead of pretending that this
objective fact can be reduced to a

338
00:05:54,310 --> 00:05:54,320
objective fact can be reduced to a
 

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00:05:54,320 --> 00:05:55,710
objective fact can be reduced to a
singular blog post.

340
00:05:55,710 --> 00:05:55,720
singular blog post.
 

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00:05:55,720 --> 00:05:57,550
singular blog post.
>> The underlying data is not typically

342
00:05:57,550 --> 00:05:57,560
>> The underlying data is not typically
 

343
00:05:57,560 --> 00:05:58,670
>> The underlying data is not typically
really

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00:05:58,670 --> 00:05:58,680
really
 

345
00:05:58,680 --> 00:06:00,630
really
carefully evaluated. Claims about what

346
00:06:00,630 --> 00:06:00,640
carefully evaluated. Claims about what
 

347
00:06:00,640 --> 00:06:03,630
carefully evaluated. Claims about what
vaccines do when they're positive

348
00:06:03,630 --> 00:06:03,640
vaccines do when they're positive
 

349
00:06:03,640 --> 00:06:04,550
vaccines do when they're positive
because our health agencies are

350
00:06:04,550 --> 00:06:04,560
because our health agencies are
 

351
00:06:04,560 --> 00:06:06,630
because our health agencies are
responsible for promoting them,

352
00:06:06,630 --> 00:06:06,640
responsible for promoting them,
 

353
00:06:06,640 --> 00:06:08,710
responsible for promoting them,
easily made claims that vaccines cause

354
00:06:08,710 --> 00:06:08,720
easily made claims that vaccines cause
 

355
00:06:08,720 --> 00:06:11,190
easily made claims that vaccines cause
any harms or injuries often get ignored

356
00:06:11,190 --> 00:06:11,200
any harms or injuries often get ignored
 

357
00:06:11,200 --> 00:06:13,430
any harms or injuries often get ignored
no matter how good the underlying data.

358
00:06:13,430 --> 00:06:13,440
no matter how good the underlying data.
 

359
00:06:13,440 --> 00:06:15,790
no matter how good the underlying data.
What a delightful reversal of reality.

360
00:06:15,790 --> 00:06:15,800
What a delightful reversal of reality.
 

361
00:06:15,800 --> 00:06:18,070
What a delightful reversal of reality.
The underlying data regarding vaccine

362
00:06:18,070 --> 00:06:18,080
The underlying data regarding vaccine
 

363
00:06:18,080 --> 00:06:20,790
The underlying data regarding vaccine
safety is not carefully evaluated and

364
00:06:20,790 --> 00:06:20,800
safety is not carefully evaluated and
 

365
00:06:20,800 --> 00:06:22,990
safety is not carefully evaluated and
sadly health agencies in America no

366
00:06:22,990 --> 00:06:23,000
sadly health agencies in America no
 

367
00:06:23,000 --> 00:06:24,950
sadly health agencies in America no
longer promote vaccines since they've

368
00:06:24,950 --> 00:06:24,960
longer promote vaccines since they've
 

369
00:06:24,960 --> 00:06:26,830
longer promote vaccines since they've
been captured by Bobby Kennedy.

370
00:06:26,830 --> 00:06:26,840
been captured by Bobby Kennedy.
 

371
00:06:26,840 --> 00:06:29,550
been captured by Bobby Kennedy.
Fortunately, other countries exist that

372
00:06:29,550 --> 00:06:29,560
Fortunately, other countries exist that
 

373
00:06:29,560 --> 00:06:31,270
Fortunately, other countries exist that
aren't engaging in state-sanctioned

374
00:06:31,270 --> 00:06:31,280
aren't engaging in state-sanctioned
 

375
00:06:31,280 --> 00:06:33,270
aren't engaging in state-sanctioned
science denial. Just like we saw with

376
00:06:33,270 --> 00:06:33,280
science denial. Just like we saw with
 

377
00:06:33,280 --> 00:06:35,070
science denial. Just like we saw with
Steve Kirsch and Pierre Kory in the live

378
00:06:35,070 --> 00:06:35,080
Steve Kirsch and Pierre Kory in the live
 

379
00:06:35,080 --> 00:06:36,910
Steve Kirsch and Pierre Kory in the live
debate I had with Dan Wilson, this

380
00:06:36,910 --> 00:06:36,920
debate I had with Dan Wilson, this
 

381
00:06:36,920 --> 00:06:38,750
debate I had with Dan Wilson, this
narrative hinges on people believing

382
00:06:38,750 --> 00:06:38,760
narrative hinges on people believing
 

383
00:06:38,760 --> 00:06:40,870
narrative hinges on people believing
that the global scientific community can

384
00:06:40,870 --> 00:06:40,880
that the global scientific community can
 

385
00:06:40,880 --> 00:06:43,510
that the global scientific community can
be reduced to what CDC says. And if

386
00:06:43,510 --> 00:06:43,520
be reduced to what CDC says. And if
 

387
00:06:43,520 --> 00:06:45,470
be reduced to what CDC says. And if
you've watched my other content covering

388
00:06:45,470 --> 00:06:45,480
you've watched my other content covering
 

389
00:06:45,480 --> 00:06:48,230
you've watched my other content covering
this propaganda, you know that 100% of

390
00:06:48,230 --> 00:06:48,240
this propaganda, you know that 100% of
 

391
00:06:48,240 --> 00:06:50,630
this propaganda, you know that 100% of
the outrageous claims anti-vaxers make

392
00:06:50,630 --> 00:06:50,640
the outrageous claims anti-vaxers make
 

393
00:06:50,640 --> 00:06:53,110
the outrageous claims anti-vaxers make
regarding harm and injury is based on a

394
00:06:53,110 --> 00:06:53,120
regarding harm and injury is based on a
 

395
00:06:53,120 --> 00:06:55,030
regarding harm and injury is based on a
shameless distortion of self-reporting

396
00:06:55,030 --> 00:06:55,040
shameless distortion of self-reporting
 

397
00:06:55,040 --> 00:06:57,190
shameless distortion of self-reporting
databases like VAERS. Nothing to see

398
00:06:57,190 --> 00:06:57,200
databases like VAERS. Nothing to see
 

399
00:06:57,200 --> 00:06:59,870
databases like VAERS. Nothing to see
here. I also heard that deaths sharply

400
00:06:59,870 --> 00:06:59,880
here. I also heard that deaths sharply
 

401
00:06:59,880 --> 00:07:01,630
here. I also heard that deaths sharply
declined

402
00:07:01,630 --> 00:07:01,640
declined
 

403
00:07:01,640 --> 00:07:03,630
declined
in 2021.

404
00:07:03,630 --> 00:07:03,640
in 2021.
 

405
00:07:03,640 --> 00:07:05,310
in 2021.
Well, when you look at all-cause

406
00:07:05,310 --> 00:07:05,320
Well, when you look at all-cause
 

407
00:07:05,320 --> 00:07:07,710
Well, when you look at all-cause
mortality in the United States, deaths

408
00:07:07,710 --> 00:07:07,720
mortality in the United States, deaths
 

409
00:07:07,720 --> 00:07:10,350
mortality in the United States, deaths
in 2021 went up compared to 2020 and

410
00:07:10,350 --> 00:07:10,360
in 2021 went up compared to 2020 and
 

411
00:07:10,360 --> 00:07:12,790
in 2021 went up compared to 2020 and
presumably most of the most frail, the

412
00:07:12,790 --> 00:07:12,800
presumably most of the most frail, the
 

413
00:07:12,800 --> 00:07:15,630
presumably most of the most frail, the
weak among us died in 2020 from COVID.

414
00:07:15,630 --> 00:07:15,640
weak among us died in 2020 from COVID.
 

415
00:07:15,640 --> 00:07:17,070
weak among us died in 2020 from COVID.
We should have had a reduction in

416
00:07:17,070 --> 00:07:17,080
We should have had a reduction in
 

417
00:07:17,080 --> 00:07:18,150
We should have had a reduction in
all-cause mortality in the United

418
00:07:18,150 --> 00:07:18,160
all-cause mortality in the United
 

419
00:07:18,160 --> 00:07:20,510
all-cause mortality in the United
States. We did not. Yeah, the pandemic

420
00:07:20,510 --> 00:07:20,520
States. We did not. Yeah, the pandemic
 

421
00:07:20,520 --> 00:07:23,590
States. We did not. Yeah, the pandemic
was still raging in 2021, dumbass. He's

422
00:07:23,590 --> 00:07:23,600
was still raging in 2021, dumbass. He's
 

423
00:07:23,600 --> 00:07:25,990
was still raging in 2021, dumbass. He's
just baselessly asserting that all the

424
00:07:25,990 --> 00:07:26,000
just baselessly asserting that all the
 

425
00:07:26,000 --> 00:07:28,550
just baselessly asserting that all the
old weak people died in 2020 so

426
00:07:28,550 --> 00:07:28,560
old weak people died in 2020 so
 

427
00:07:28,560 --> 00:07:30,150
old weak people died in 2020 so
everything should have been hunky-dory

428
00:07:30,150 --> 00:07:30,160
everything should have been hunky-dory
 

429
00:07:30,160 --> 00:07:32,830
everything should have been hunky-dory
after that. Also, 2020 wasn't a full

430
00:07:32,830 --> 00:07:32,840
after that. Also, 2020 wasn't a full
 

431
00:07:32,840 --> 00:07:34,990
after that. Also, 2020 wasn't a full
year of pandemic. People started dying

432
00:07:34,990 --> 00:07:35,000
year of pandemic. People started dying
 

433
00:07:35,000 --> 00:07:37,190
year of pandemic. People started dying
in large numbers in April. Tack on to

434
00:07:37,190 --> 00:07:37,200
in large numbers in April. Tack on to
 

435
00:07:37,200 --> 00:07:38,950
in large numbers in April. Tack on to
that a severely strained health care

436
00:07:38,950 --> 00:07:38,960
that a severely strained health care
 

437
00:07:38,960 --> 00:07:41,190
that a severely strained health care
system in 2021 after a full year of

438
00:07:41,190 --> 00:07:41,200
system in 2021 after a full year of
 

439
00:07:41,200 --> 00:07:43,310
system in 2021 after a full year of
dealing with COVID patients plus higher

440
00:07:43,310 --> 00:07:43,320
dealing with COVID patients plus higher
 

441
00:07:43,320 --> 00:07:45,150
dealing with COVID patients plus higher
mortality rates from accidents and drug

442
00:07:45,150 --> 00:07:45,160
mortality rates from accidents and drug
 

443
00:07:45,160 --> 00:07:47,510
mortality rates from accidents and drug
overdoses and there you go, more people

444
00:07:47,510 --> 00:07:47,520
overdoses and there you go, more people
 

445
00:07:47,520 --> 00:07:50,150
overdoses and there you go, more people
died. Shocking. For every product on the

446
00:07:50,150 --> 00:07:50,160
died. Shocking. For every product on the
 

447
00:07:50,160 --> 00:07:51,990
died. Shocking. For every product on the
market, you can sue the manufacturer for

448
00:07:51,990 --> 00:07:52,000
market, you can sue the manufacturer for
 

449
00:07:52,000 --> 00:07:54,230
market, you can sue the manufacturer for
harm. For design defect claims, meaning

450
00:07:54,230 --> 00:07:54,240
harm. For design defect claims, meaning
 

451
00:07:54,240 --> 00:07:55,390
harm. For design defect claims, meaning
the claim that the product could have

452
00:07:55,390 --> 00:07:55,400
the claim that the product could have
 

453
00:07:55,400 --> 00:07:56,830
the claim that the product could have
been safer. I mean literally, look

454
00:07:56,830 --> 00:07:56,840
been safer. I mean literally, look
 

455
00:07:56,840 --> 00:07:58,550
been safer. I mean literally, look
around this room, planes, cars,

456
00:07:58,550 --> 00:07:58,560
around this room, planes, cars,
 

457
00:07:58,560 --> 00:08:00,310
around this room, planes, cars,
pharmaceutical drugs, every one. There's

458
00:08:00,310 --> 00:08:00,320
pharmaceutical drugs, every one. There's
 

459
00:08:00,320 --> 00:08:02,150
pharmaceutical drugs, every one. There's
only one product in America you cannot

460
00:08:02,150 --> 00:08:02,160
only one product in America you cannot
 

461
00:08:02,160 --> 00:08:04,030
only one product in America you cannot
sue the manufacturer for design defect

462
00:08:04,030 --> 00:08:04,040
sue the manufacturer for design defect
 

463
00:08:04,040 --> 00:08:05,830
sue the manufacturer for design defect
claim to claim that it could have been

464
00:08:05,830 --> 00:08:05,840
claim to claim that it could have been
 

465
00:08:05,840 --> 00:08:07,910
claim to claim that it could have been
made safer and that are vaccines. I

466
00:08:07,910 --> 00:08:07,920
made safer and that are vaccines. I
 

467
00:08:07,920 --> 00:08:09,990
made safer and that are vaccines. I
heard you know, injections, vaccines. My

468
00:08:09,990 --> 00:08:10,000
heard you know, injections, vaccines. My
 

469
00:08:10,000 --> 00:08:12,710
heard you know, injections, vaccines. My
definition of vaccine is any product for

470
00:08:12,710 --> 00:08:12,720
definition of vaccine is any product for
 

471
00:08:12,720 --> 00:08:14,830
definition of vaccine is any product for
which the government needs to give it

472
00:08:14,830 --> 00:08:14,840
which the government needs to give it
 

473
00:08:14,840 --> 00:08:16,390
which the government needs to give it
immunity from harms. To me, that's what

474
00:08:16,390 --> 00:08:16,400
immunity from harms. To me, that's what
 

475
00:08:16,400 --> 00:08:18,030
immunity from harms. To me, that's what
a vaccine is cuz some prevent

476
00:08:18,030 --> 00:08:18,040
a vaccine is cuz some prevent
 

477
00:08:18,040 --> 00:08:19,830
a vaccine is cuz some prevent
infections, some don't. That's what a

478
00:08:19,830 --> 00:08:19,840
infections, some don't. That's what a
 

479
00:08:19,840 --> 00:08:21,430
infections, some don't. That's what a
vaccine is, meaning

480
00:08:21,430 --> 00:08:21,440
vaccine is, meaning
 

481
00:08:21,440 --> 00:08:23,390
vaccine is, meaning
it can't survive without that immunity

482
00:08:23,390 --> 00:08:23,400
it can't survive without that immunity
 

483
00:08:23,400 --> 00:08:24,630
it can't survive without that immunity
apparently.

484
00:08:24,630 --> 00:08:24,640
apparently.
 

485
00:08:24,640 --> 00:08:27,350
apparently.
Why did vaccines get this immunity?

486
00:08:27,350 --> 00:08:27,360
Why did vaccines get this immunity?
 

487
00:08:27,360 --> 00:08:29,190
Why did vaccines get this immunity?
Which was provided in 1986 under the

488
00:08:29,190 --> 00:08:29,200
Which was provided in 1986 under the
 

489
00:08:29,200 --> 00:08:31,110
Which was provided in 1986 under the
National Childhood Vaccine Injury Act.

490
00:08:31,110 --> 00:08:31,120
National Childhood Vaccine Injury Act.
 

491
00:08:31,120 --> 00:08:32,270
National Childhood Vaccine Injury Act.
Because leading up to '86, there were

492
00:08:32,270 --> 00:08:32,280
Because leading up to '86, there were
 

493
00:08:32,280 --> 00:08:33,870
Because leading up to '86, there were
only three routine childhood vaccines,

494
00:08:33,870 --> 00:08:33,880
only three routine childhood vaccines,
 

495
00:08:33,880 --> 00:08:36,510
only three routine childhood vaccines,
MMR, OPV, and DTP and they were causing

496
00:08:36,510 --> 00:08:36,520
MMR, OPV, and DTP and they were causing
 

497
00:08:36,520 --> 00:08:37,870
MMR, OPV, and DTP and they were causing
so much harm and causing so much

498
00:08:37,870 --> 00:08:37,880
so much harm and causing so much
 

499
00:08:37,880 --> 00:08:39,589
so much harm and causing so much
liability that that

500
00:08:39,589 --> 00:08:39,599
liability that that
 

501
00:08:39,599 --> 00:08:40,830
liability that that
all the manufacturers were going out of

502
00:08:40,830 --> 00:08:40,840
all the manufacturers were going out of
 

503
00:08:40,840 --> 00:08:41,790
all the manufacturers were going out of
business to stop making them and

504
00:08:41,790 --> 00:08:41,800
business to stop making them and
 

505
00:08:41,800 --> 00:08:42,909
business to stop making them and
Congress, instead of forcing those

506
00:08:42,909 --> 00:08:42,919
Congress, instead of forcing those
 

507
00:08:42,919 --> 00:08:44,430
Congress, instead of forcing those
manufacturers to do what every other

508
00:08:44,430 --> 00:08:44,440
manufacturers to do what every other
 

509
00:08:44,440 --> 00:08:45,710
manufacturers to do what every other
product manufacturer needs to do in that

510
00:08:45,710 --> 00:08:45,720
product manufacturer needs to do in that
 

511
00:08:45,720 --> 00:08:47,590
product manufacturer needs to do in that
situation, which is what?

512
00:08:47,590 --> 00:08:47,600
situation, which is what?
 

513
00:08:47,600 --> 00:08:50,390
situation, which is what?
Make a better, safer product. Instead

514
00:08:50,390 --> 00:08:50,400
Make a better, safer product. Instead
 

515
00:08:50,400 --> 00:08:51,830
Make a better, safer product. Instead
said, "You know what? We're just going

516
00:08:51,830 --> 00:08:51,840
said, "You know what? We're just going
 

517
00:08:51,840 --> 00:08:53,470
said, "You know what? We're just going
to give you immunity.

518
00:08:53,470 --> 00:08:53,480
to give you immunity.
 

519
00:08:53,480 --> 00:08:54,990
to give you immunity.
We're going to make it so nobody can sue

520
00:08:54,990 --> 00:08:55,000
We're going to make it so nobody can sue
 

521
00:08:55,000 --> 00:08:57,390
We're going to make it so nobody can sue
you for those harms

522
00:08:57,390 --> 00:08:57,400
you for those harms
 

523
00:08:57,400 --> 00:08:59,310
you for those harms
and you can keep selling your product to

524
00:08:59,310 --> 00:08:59,320
and you can keep selling your product to
 

525
00:08:59,320 --> 00:09:00,950
and you can keep selling your product to
the American public no matter how many

526
00:09:00,950 --> 00:09:00,960
the American public no matter how many
 

527
00:09:00,960 --> 00:09:03,910
the American public no matter how many
children it kills." No matter how many

528
00:09:03,910 --> 00:09:03,920
children it kills." No matter how many
 

529
00:09:03,920 --> 00:09:06,470
children it kills." No matter how many
children it kills. How many children did

530
00:09:06,470 --> 00:09:06,480
children it kills. How many children did
 

531
00:09:06,480 --> 00:09:08,830
children it kills. How many children did
they kill, Aaron? I can find five from

532
00:09:08,830 --> 00:09:08,840
they kill, Aaron? I can find five from
 

533
00:09:08,840 --> 00:09:10,990
they kill, Aaron? I can find five from
the polio vaccine, not finding anything

534
00:09:10,990 --> 00:09:11,000
the polio vaccine, not finding anything
 

535
00:09:11,000 --> 00:09:13,910
the polio vaccine, not finding anything
else. How many lives did they save? Over

536
00:09:13,910 --> 00:09:13,920
else. How many lives did they save? Over
 

537
00:09:13,920 --> 00:09:16,790
else. How many lives did they save? Over
150 million in the past five decades?

538
00:09:16,790 --> 00:09:16,800
150 million in the past five decades?
 

539
00:09:16,800 --> 00:09:19,230
150 million in the past five decades?
Seems a bit one-sided, don't you think?

540
00:09:19,230 --> 00:09:19,240
Seems a bit one-sided, don't you think?
 

541
00:09:19,240 --> 00:09:21,270
Seems a bit one-sided, don't you think?
Of course, all of this is not the point.

542
00:09:21,270 --> 00:09:21,280
Of course, all of this is not the point.
 

543
00:09:21,280 --> 00:09:23,350
Of course, all of this is not the point.
The point is this story about the evil

544
00:09:23,350 --> 00:09:23,360
The point is this story about the evil
 

545
00:09:23,360 --> 00:09:25,190
The point is this story about the evil
companies who can't get sued when they

546
00:09:25,190 --> 00:09:25,200
companies who can't get sued when they
 

547
00:09:25,200 --> 00:09:27,430
companies who can't get sued when they
sell their poison. Sounds convincing,

548
00:09:27,430 --> 00:09:27,440
sell their poison. Sounds convincing,
 

549
00:09:27,440 --> 00:09:29,590
sell their poison. Sounds convincing,
huh? Well, it's [\h__\h] and as a

550
00:09:29,590 --> 00:09:29,600
huh? Well, it's [\h__\h] and as a
 

551
00:09:29,600 --> 00:09:31,270
huh? Well, it's [\h__\h] and as a
lawyer, Aaron should know that the

552
00:09:31,270 --> 00:09:31,280
lawyer, Aaron should know that the
 

553
00:09:31,280 --> 00:09:33,470
lawyer, Aaron should know that the
Supreme Court settled this matter in

554
00:09:33,470 --> 00:09:33,480
Supreme Court settled this matter in
 

555
00:09:33,480 --> 00:09:36,710
Supreme Court settled this matter in
Bruesewitz v. Wyeth 2011. This act he's

556
00:09:36,710 --> 00:09:36,720
Bruesewitz v. Wyeth 2011. This act he's
 

557
00:09:36,720 --> 00:09:38,950
Bruesewitz v. Wyeth 2011. This act he's
talking about does pre-empt design

558
00:09:38,950 --> 00:09:38,960
talking about does pre-empt design
 

559
00:09:38,960 --> 00:09:40,870
talking about does pre-empt design
defect claims for covered childhood

560
00:09:40,870 --> 00:09:40,880
defect claims for covered childhood
 

561
00:09:40,880 --> 00:09:43,270
defect claims for covered childhood
vaccines. That's the unavoidable side

562
00:09:43,270 --> 00:09:43,280
vaccines. That's the unavoidable side
 

563
00:09:43,280 --> 00:09:46,110
vaccines. That's the unavoidable side
effects clause. Courts have recognized

564
00:09:46,110 --> 00:09:46,120
effects clause. Courts have recognized
 

565
00:09:46,120 --> 00:09:48,630
effects clause. Courts have recognized
that vaccines have very rare inherent

566
00:09:48,630 --> 00:09:48,640
that vaccines have very rare inherent
 

567
00:09:48,640 --> 00:09:50,990
that vaccines have very rare inherent
risks even when properly made, which

568
00:09:50,990 --> 00:09:51,000
risks even when properly made, which
 

569
00:09:51,000 --> 00:09:52,990
risks even when properly made, which
will appear if the sample size is

570
00:09:52,990 --> 00:09:53,000
will appear if the sample size is
 

571
00:09:53,000 --> 00:09:55,550
will appear if the sample size is
hundreds of millions of people. Congress

572
00:09:55,550 --> 00:09:55,560
hundreds of millions of people. Congress
 

573
00:09:55,560 --> 00:09:57,910
hundreds of millions of people. Congress
included this clause because lawsuits in

574
00:09:57,910 --> 00:09:57,920
included this clause because lawsuits in
 

575
00:09:57,920 --> 00:10:00,390
included this clause because lawsuits in
the 1980s were bankrupting manufacturers

576
00:10:00,390 --> 00:10:00,400
the 1980s were bankrupting manufacturers
 

577
00:10:00,400 --> 00:10:02,790
the 1980s were bankrupting manufacturers
of DTP and other important vaccines,

578
00:10:02,790 --> 00:10:02,800
of DTP and other important vaccines,
 

579
00:10:02,800 --> 00:10:05,070
of DTP and other important vaccines,
thereby threatening supply. But, it is

580
00:10:05,070 --> 00:10:05,080
thereby threatening supply. But, it is
 

581
00:10:05,080 --> 00:10:07,870
thereby threatening supply. But, it is
not blanket immunity. Manufacturing

582
00:10:07,870 --> 00:10:07,880
not blanket immunity. Manufacturing
 

583
00:10:07,880 --> 00:10:10,230
not blanket immunity. Manufacturing
defects and failure to warn claims are

584
00:10:10,230 --> 00:10:10,240
defects and failure to warn claims are
 

585
00:10:10,240 --> 00:10:13,110
defects and failure to warn claims are
still allowed. Vaccine manufacturers can

586
00:10:13,110 --> 00:10:13,120
still allowed. Vaccine manufacturers can
 

587
00:10:13,120 --> 00:10:15,470
still allowed. Vaccine manufacturers can
be and are regularly sued. He's just

588
00:10:15,470 --> 00:10:15,480
be and are regularly sued. He's just
 

589
00:10:15,480 --> 00:10:17,310
be and are regularly sued. He's just
lying. But, he's also leaving out the

590
00:10:17,310 --> 00:10:17,320
lying. But, he's also leaving out the
 

591
00:10:17,320 --> 00:10:19,390
lying. But, he's also leaving out the
most important part of the story. The

592
00:10:19,390 --> 00:10:19,400
most important part of the story. The
 

593
00:10:19,400 --> 00:10:21,670
most important part of the story. The
National Vaccine Injury Compensation

594
00:10:21,670 --> 00:10:21,680
National Vaccine Injury Compensation
 

595
00:10:21,680 --> 00:10:24,750
National Vaccine Injury Compensation
Program, or VICP, is a no-fault system

596
00:10:24,750 --> 00:10:24,760
Program, or VICP, is a no-fault system
 

597
00:10:24,760 --> 00:10:26,830
Program, or VICP, is a no-fault system
that has paid out roughly 5 billion for

598
00:10:26,830 --> 00:10:26,840
that has paid out roughly 5 billion for
 

599
00:10:26,840 --> 00:10:30,030
that has paid out roughly 5 billion for
injuries since 1986. This is funded by a

600
00:10:30,030 --> 00:10:30,040
injuries since 1986. This is funded by a
 

601
00:10:30,040 --> 00:10:32,630
injuries since 1986. This is funded by a
small excise tax on each dose. This

602
00:10:32,630 --> 00:10:32,640
small excise tax on each dose. This
 

603
00:10:32,640 --> 00:10:34,510
small excise tax on each dose. This
system is much better for the average

604
00:10:34,510 --> 00:10:34,520
system is much better for the average
 

605
00:10:34,520 --> 00:10:36,590
system is much better for the average
person seeking compensation for

606
00:10:36,590 --> 00:10:36,600
person seeking compensation for
 

607
00:10:36,600 --> 00:10:38,670
person seeking compensation for
legitimate injury, which is extremely

608
00:10:38,670 --> 00:10:38,680
legitimate injury, which is extremely
 

609
00:10:38,680 --> 00:10:41,510
legitimate injury, which is extremely
rare, but does happen. Civil litigation

610
00:10:41,510 --> 00:10:41,520
rare, but does happen. Civil litigation
 

611
00:10:41,520 --> 00:10:44,190
rare, but does happen. Civil litigation
is far more expensive and time-consuming

612
00:10:44,190 --> 00:10:44,200
is far more expensive and time-consuming
 

613
00:10:44,200 --> 00:10:45,790
is far more expensive and time-consuming
to the point that it is totally

614
00:10:45,790 --> 00:10:45,800
to the point that it is totally
 

615
00:10:45,800 --> 00:10:48,990
to the point that it is totally
inaccessible to most people. VICP claims

616
00:10:48,990 --> 00:10:49,000
inaccessible to most people. VICP claims
 

617
00:10:49,000 --> 00:10:51,870
inaccessible to most people. VICP claims
can be filed for $405, and they even

618
00:10:51,870 --> 00:10:51,880
can be filed for $405, and they even
 

619
00:10:51,880 --> 00:10:53,390
can be filed for $405, and they even
offered to waive the fee for those who

620
00:10:53,390 --> 00:10:53,400
offered to waive the fee for those who
 

621
00:10:53,400 --> 00:10:55,830
offered to waive the fee for those who
can't pay. Petitioners can even reject a

622
00:10:55,830 --> 00:10:55,840
can't pay. Petitioners can even reject a
 

623
00:10:55,840 --> 00:10:58,310
can't pay. Petitioners can even reject a
VICP award and sue in civil court if

624
00:10:58,310 --> 00:10:58,320
VICP award and sue in civil court if
 

625
00:10:58,320 --> 00:10:59,710
VICP award and sue in civil court if
they feel they have a case.

626
00:10:59,710 --> 00:10:59,720
they feel they have a case.
 

627
00:10:59,720 --> 00:11:02,190
they feel they have a case.
Manufacturers remain fully liable for

628
00:11:02,190 --> 00:11:02,200
Manufacturers remain fully liable for
 

629
00:11:02,200 --> 00:11:04,590
Manufacturers remain fully liable for
fraud, contamination, or inadequate

630
00:11:04,590 --> 00:11:04,600
fraud, contamination, or inadequate
 

631
00:11:04,600 --> 00:11:06,790
fraud, contamination, or inadequate
warnings. The economic incentive to

632
00:11:06,790 --> 00:11:06,800
warnings. The economic incentive to
 

633
00:11:06,800 --> 00:11:08,750
warnings. The economic incentive to
improve safety never disappeared. It

634
00:11:08,750 --> 00:11:08,760
improve safety never disappeared. It
 

635
00:11:08,760 --> 00:11:11,190
improve safety never disappeared. It
simply shifted to regulatory oversight.

636
00:11:11,190 --> 00:11:11,200
simply shifted to regulatory oversight.
 

637
00:11:11,200 --> 00:11:13,110
simply shifted to regulatory oversight.
The FDA requires ongoing

638
00:11:13,110 --> 00:11:13,120
The FDA requires ongoing
 

639
00:11:13,120 --> 00:11:15,390
The FDA requires ongoing
pharmacovigilance, lot release testing,

640
00:11:15,390 --> 00:11:15,400
pharmacovigilance, lot release testing,
 

641
00:11:15,400 --> 00:11:17,590
pharmacovigilance, lot release testing,
and post-marketing studies. Companies

642
00:11:17,590 --> 00:11:17,600
and post-marketing studies. Companies
 

643
00:11:17,600 --> 00:11:19,670
and post-marketing studies. Companies
still face massive financial and

644
00:11:19,670 --> 00:11:19,680
still face massive financial and
 

645
00:11:19,680 --> 00:11:22,270
still face massive financial and
reputational risk for safety signals. It

646
00:11:22,270 --> 00:11:22,280
reputational risk for safety signals. It
 

647
00:11:22,280 --> 00:11:24,750
reputational risk for safety signals. It
is objectively the case that vaccines

648
00:11:24,750 --> 00:11:24,760
is objectively the case that vaccines
 

649
00:11:24,760 --> 00:11:27,070
is objectively the case that vaccines
are tested supremely rigorously for

650
00:11:27,070 --> 00:11:27,080
are tested supremely rigorously for
 

651
00:11:27,080 --> 00:11:29,470
are tested supremely rigorously for
safety. The risk-benefit ratio is

652
00:11:29,470 --> 00:11:29,480
safety. The risk-benefit ratio is
 

653
00:11:29,480 --> 00:11:31,470
safety. The risk-benefit ratio is
overwhelmingly on the side of mass

654
00:11:31,470 --> 00:11:31,480
overwhelmingly on the side of mass
 

655
00:11:31,480 --> 00:11:33,390
overwhelmingly on the side of mass
administering vaccines, and anyone who

656
00:11:33,390 --> 00:11:33,400
administering vaccines, and anyone who
 

657
00:11:33,400 --> 00:11:35,230
administering vaccines, and anyone who
says otherwise has no [\h__\h] idea what

658
00:11:35,230 --> 00:11:35,240
says otherwise has no [\h__\h] idea what
 

659
00:11:35,240 --> 00:11:37,110
says otherwise has no [\h__\h] idea what
they're talking about. Are we done here?

660
00:11:37,110 --> 00:11:37,120
they're talking about. Are we done here?
 

661
00:11:37,120 --> 00:11:38,910
they're talking about. Are we done here?
And and and I I sell you this not to

662
00:11:38,910 --> 00:11:38,920
And and and I I sell you this not to
 

663
00:11:38,920 --> 00:11:40,470
And and and I I sell you this not to
take issue with childhood vaccines, but

664
00:11:40,470 --> 00:11:40,480
take issue with childhood vaccines, but
 

665
00:11:40,480 --> 00:11:41,870
take issue with childhood vaccines, but
to explain to you the regulatory

666
00:11:41,870 --> 00:11:41,880
to explain to you the regulatory
 

667
00:11:41,880 --> 00:11:43,110
to explain to you the regulatory
framework in which vaccines have

668
00:11:43,110 --> 00:11:43,120
framework in which vaccines have
 

669
00:11:43,120 --> 00:11:45,030
framework in which vaccines have
developed over the last 40 years. We

670
00:11:45,030 --> 00:11:45,040
developed over the last 40 years. We
 

671
00:11:45,040 --> 00:11:47,030
developed over the last 40 years. We
have now gone from three injections in

672
00:11:47,030 --> 00:11:47,040
have now gone from three injections in
 

673
00:11:47,040 --> 00:11:48,510
have now gone from three injections in
the first year of life under the CDC

674
00:11:48,510 --> 00:11:48,520
the first year of life under the CDC
 

675
00:11:48,520 --> 00:11:50,990
the first year of life under the CDC
schedule in '86 to 29 injections,

676
00:11:50,990 --> 00:11:51,000
schedule in '86 to 29 injections,
 

677
00:11:51,000 --> 00:11:53,110
schedule in '86 to 29 injections,
including in utero, if a child follows

678
00:11:53,110 --> 00:11:53,120
including in utero, if a child follows
 

679
00:11:53,120 --> 00:11:54,990
including in utero, if a child follows
the CDC schedule today.

680
00:11:54,990 --> 00:11:55,000
the CDC schedule today.
 

681
00:11:55,000 --> 00:11:56,990
the CDC schedule today.
Every one of those vaccines, save one,

682
00:11:56,990 --> 00:11:57,000
Every one of those vaccines, save one,
 

683
00:11:57,000 --> 00:11:58,270
Every one of those vaccines, save one,
was developed by a pharmaceutical

684
00:11:58,270 --> 00:11:58,280
was developed by a pharmaceutical
 

685
00:11:58,280 --> 00:12:00,150
was developed by a pharmaceutical
company knowing they would not be

686
00:12:00,150 --> 00:12:00,160
company knowing they would not be
 

687
00:12:00,160 --> 00:12:02,550
company knowing they would not be
responsible for the injuries that are

688
00:12:02,550 --> 00:12:02,560
responsible for the injuries that are
 

689
00:12:02,560 --> 00:12:04,829
responsible for the injuries that are
caused by those products. Actually,

690
00:12:04,829 --> 00:12:04,839
caused by those products. Actually,
 

691
00:12:04,839 --> 00:12:06,550
caused by those products. Actually,
Aaron, you are specifically taking

692
00:12:06,550 --> 00:12:06,560
Aaron, you are specifically taking
 

693
00:12:06,560 --> 00:12:08,350
Aaron, you are specifically taking
issues with childhood vaccines and

694
00:12:08,350 --> 00:12:08,360
issues with childhood vaccines and
 

695
00:12:08,360 --> 00:12:10,230
issues with childhood vaccines and
brainwashing the masses into rejecting

696
00:12:10,230 --> 00:12:10,240
brainwashing the masses into rejecting
 

697
00:12:10,240 --> 00:12:12,990
brainwashing the masses into rejecting
them, which results in children dying.

698
00:12:12,990 --> 00:12:13,000
them, which results in children dying.
 

699
00:12:13,000 --> 00:12:15,710
them, which results in children dying.
You kill children while pretending that

700
00:12:15,710 --> 00:12:15,720
You kill children while pretending that
 

701
00:12:15,720 --> 00:12:17,910
You kill children while pretending that
having more vaccines to prevent more

702
00:12:17,910 --> 00:12:17,920
having more vaccines to prevent more
 

703
00:12:17,920 --> 00:12:20,310
having more vaccines to prevent more
diseases is somehow a bad thing. But,

704
00:12:20,310 --> 00:12:20,320
diseases is somehow a bad thing. But,
 

705
00:12:20,320 --> 00:12:21,990
diseases is somehow a bad thing. But,
all of this rhetoric serves the purpose

706
00:12:21,990 --> 00:12:22,000
all of this rhetoric serves the purpose
 

707
00:12:22,000 --> 00:12:24,110
all of this rhetoric serves the purpose
of queuing up his primary talking point.

708
00:12:24,110 --> 00:12:24,120
of queuing up his primary talking point.
 

709
00:12:24,120 --> 00:12:25,590
of queuing up his primary talking point.
>> So, when you have drug trials, where

710
00:12:25,590 --> 00:12:25,600
>> So, when you have drug trials, where
 

711
00:12:25,600 --> 00:12:26,910
>> So, when you have drug trials, where
pharmaceutical companies, they care

712
00:12:26,910 --> 00:12:26,920
pharmaceutical companies, they care
 

713
00:12:26,920 --> 00:12:28,870
pharmaceutical companies, they care
about losing money, they don't want to

714
00:12:28,870 --> 00:12:28,880
about losing money, they don't want to
 

715
00:12:28,880 --> 00:12:30,590
about losing money, they don't want to
lose money on their drugs, they often do

716
00:12:30,590 --> 00:12:30,600
lose money on their drugs, they often do
 

717
00:12:30,600 --> 00:12:32,070
lose money on their drugs, they often do
multi-year placebo-controlled trials

718
00:12:32,070 --> 00:12:32,080
multi-year placebo-controlled trials
 

719
00:12:32,080 --> 00:12:33,190
multi-year placebo-controlled trials
before they get on the market, because

720
00:12:33,190 --> 00:12:33,200
before they get on the market, because
 

721
00:12:33,200 --> 00:12:34,310
before they get on the market, because
they don't want to end up upside down.

722
00:12:34,310 --> 00:12:34,320
they don't want to end up upside down.
 

723
00:12:34,320 --> 00:12:35,950
they don't want to end up upside down.
They're there to make money.

724
00:12:35,950 --> 00:12:35,960
They're there to make money.
 

725
00:12:35,960 --> 00:12:37,910
They're there to make money.
But, with vaccine products, because they

726
00:12:37,910 --> 00:12:37,920
But, with vaccine products, because they
 

727
00:12:37,920 --> 00:12:39,190
But, with vaccine products, because they
don't have that financial incentive,

728
00:12:39,190 --> 00:12:39,200
don't have that financial incentive,
 

729
00:12:39,200 --> 00:12:41,230
don't have that financial incentive,
they have the actually the disincentive,

730
00:12:41,230 --> 00:12:41,240
they have the actually the disincentive,
 

731
00:12:41,240 --> 00:12:43,230
they have the actually the disincentive,
almost every childhood vaccine in this

732
00:12:43,230 --> 00:12:43,240
almost every childhood vaccine in this
 

733
00:12:43,240 --> 00:12:45,750
almost every childhood vaccine in this
country is licensed based on clinical

734
00:12:45,750 --> 00:12:45,760
country is licensed based on clinical
 

735
00:12:45,760 --> 00:12:47,550
country is licensed based on clinical
trials with often with no placebo

736
00:12:47,550 --> 00:12:47,560
trials with often with no placebo
 

737
00:12:47,560 --> 00:12:49,829
trials with often with no placebo
control, save for COVID-19 vaccine,

738
00:12:49,829 --> 00:12:49,839
control, save for COVID-19 vaccine,
 

739
00:12:49,839 --> 00:12:51,750
control, save for COVID-19 vaccine,
often days or weeks, up to maybe 6

740
00:12:51,750 --> 00:12:51,760
often days or weeks, up to maybe 6
 

741
00:12:51,760 --> 00:12:54,470
often days or weeks, up to maybe 6
months of safety review after injection,

742
00:12:54,470 --> 00:12:54,480
months of safety review after injection,
 

743
00:12:54,480 --> 00:12:56,470
months of safety review after injection,
and are often extremely underpowered.

744
00:12:56,470 --> 00:12:56,480
and are often extremely underpowered.
 

745
00:12:56,480 --> 00:12:58,950
and are often extremely underpowered.
Holy smokes, no placebo-controlled

746
00:12:58,950 --> 00:12:58,960
Holy smokes, no placebo-controlled
 

747
00:12:58,960 --> 00:13:00,790
Holy smokes, no placebo-controlled
trials. When they make the drugs, they

748
00:13:00,790 --> 00:13:00,800
trials. When they make the drugs, they
 

749
00:13:00,800 --> 00:13:02,390
trials. When they make the drugs, they
use placebo, but when they make the

750
00:13:02,390 --> 00:13:02,400
use placebo, but when they make the
 

751
00:13:02,400 --> 00:13:04,150
use placebo, but when they make the
vaccines, they don't, so they can murder

752
00:13:04,150 --> 00:13:04,160
vaccines, they don't, so they can murder
 

753
00:13:04,160 --> 00:13:05,829
vaccines, they don't, so they can murder
people with untested vaccines and

754
00:13:05,829 --> 00:13:05,839
people with untested vaccines and
 

755
00:13:05,839 --> 00:13:07,950
people with untested vaccines and
nothing happens to them. We've debunked

756
00:13:07,950 --> 00:13:07,960
nothing happens to them. We've debunked
 

757
00:13:07,960 --> 00:13:09,750
nothing happens to them. We've debunked
this talking point before, but in case

758
00:13:09,750 --> 00:13:09,760
this talking point before, but in case
 

759
00:13:09,760 --> 00:13:11,550
this talking point before, but in case
you missed it, let's unpack this load of

760
00:13:11,550 --> 00:13:11,560
you missed it, let's unpack this load of
 

761
00:13:11,560 --> 00:13:13,390
you missed it, let's unpack this load of
horse [\h__\h] First of all, the word

762
00:13:13,390 --> 00:13:13,400
horse [\h__\h] First of all, the word
 

763
00:13:13,400 --> 00:13:15,790
horse [\h__\h] First of all, the word
placebo refers to an inactive substance

764
00:13:15,790 --> 00:13:15,800
placebo refers to an inactive substance
 

765
00:13:15,800 --> 00:13:17,430
placebo refers to an inactive substance
that is used in clinical trials to

766
00:13:17,430 --> 00:13:17,440
that is used in clinical trials to
 

767
00:13:17,440 --> 00:13:19,350
that is used in clinical trials to
determine efficacy. When testing

768
00:13:19,350 --> 00:13:19,360
determine efficacy. When testing
 

769
00:13:19,360 --> 00:13:21,270
determine efficacy. When testing
palliative medicine, it's important

770
00:13:21,270 --> 00:13:21,280
palliative medicine, it's important
 

771
00:13:21,280 --> 00:13:23,870
palliative medicine, it's important
because the placebo effect exists.

772
00:13:23,870 --> 00:13:23,880
because the placebo effect exists.
 

773
00:13:23,880 --> 00:13:25,910
because the placebo effect exists.
Patients can feel better just because

774
00:13:25,910 --> 00:13:25,920
Patients can feel better just because
 

775
00:13:25,920 --> 00:13:27,990
Patients can feel better just because
they think they're supposed to. Pain and

776
00:13:27,990 --> 00:13:28,000
they think they're supposed to. Pain and
 

777
00:13:28,000 --> 00:13:30,230
they think they're supposed to. Pain and
other symptoms can be reduced due to a

778
00:13:30,230 --> 00:13:30,240
other symptoms can be reduced due to a
 

779
00:13:30,240 --> 00:13:32,430
other symptoms can be reduced due to a
placebo effect, and this must be taken

780
00:13:32,430 --> 00:13:32,440
placebo effect, and this must be taken
 

781
00:13:32,440 --> 00:13:34,190
placebo effect, and this must be taken
into account when determining the

782
00:13:34,190 --> 00:13:34,200
into account when determining the
 

783
00:13:34,200 --> 00:13:36,270
into account when determining the
efficacy of a drug which has the purpose

784
00:13:36,270 --> 00:13:36,280
efficacy of a drug which has the purpose
 

785
00:13:36,280 --> 00:13:37,950
efficacy of a drug which has the purpose
of reducing pain or those other

786
00:13:37,950 --> 00:13:37,960
of reducing pain or those other
 

787
00:13:37,960 --> 00:13:40,630
of reducing pain or those other
symptoms. Vaccines aren't like that.

788
00:13:40,630 --> 00:13:40,640
symptoms. Vaccines aren't like that.
 

789
00:13:40,640 --> 00:13:42,350
symptoms. Vaccines aren't like that.
Vaccines aren't a treatment for

790
00:13:42,350 --> 00:13:42,360
Vaccines aren't a treatment for
 

791
00:13:42,360 --> 00:13:44,230
Vaccines aren't a treatment for
anything. They're preventive, not

792
00:13:44,230 --> 00:13:44,240
anything. They're preventive, not
 

793
00:13:44,240 --> 00:13:46,390
anything. They're preventive, not
therapeutic. They're given to millions

794
00:13:46,390 --> 00:13:46,400
therapeutic. They're given to millions
 

795
00:13:46,400 --> 00:13:48,550
therapeutic. They're given to millions
of healthy people to prevent infection

796
00:13:48,550 --> 00:13:48,560
of healthy people to prevent infection
 

797
00:13:48,560 --> 00:13:51,790
of healthy people to prevent infection
by specific pathogens, not as treatment.

798
00:13:51,790 --> 00:13:51,800
by specific pathogens, not as treatment.
 

799
00:13:51,800 --> 00:13:53,870
by specific pathogens, not as treatment.
Mechanistically speaking, the purpose of

800
00:13:53,870 --> 00:13:53,880
Mechanistically speaking, the purpose of
 

801
00:13:53,880 --> 00:13:55,910
Mechanistically speaking, the purpose of
a vaccine is to introduce an antigen

802
00:13:55,910 --> 00:13:55,920
a vaccine is to introduce an antigen
 

803
00:13:55,920 --> 00:13:58,070
a vaccine is to introduce an antigen
that will result in antibody production.

804
00:13:58,070 --> 00:13:58,080
that will result in antibody production.
 

805
00:13:58,080 --> 00:14:00,270
that will result in antibody production.
You can't will antibody production with

806
00:14:00,270 --> 00:14:00,280
You can't will antibody production with
 

807
00:14:00,280 --> 00:14:02,350
You can't will antibody production with
your mind. The placebo effect has no

808
00:14:02,350 --> 00:14:02,360
your mind. The placebo effect has no
 

809
00:14:02,360 --> 00:14:04,390
your mind. The placebo effect has no
bearing on vaccines. So, comparing

810
00:14:04,390 --> 00:14:04,400
bearing on vaccines. So, comparing
 

811
00:14:04,400 --> 00:14:06,430
bearing on vaccines. So, comparing
vaccine clinical trials to drug studies

812
00:14:06,430 --> 00:14:06,440
vaccine clinical trials to drug studies
 

813
00:14:06,440 --> 00:14:08,590
vaccine clinical trials to drug studies
is misleading. Nevertheless, every

814
00:14:08,590 --> 00:14:08,600
is misleading. Nevertheless, every
 

815
00:14:08,600 --> 00:14:10,870
is misleading. Nevertheless, every
ingredient in a vaccine should be tested

816
00:14:10,870 --> 00:14:10,880
ingredient in a vaccine should be tested
 

817
00:14:10,880 --> 00:14:13,510
ingredient in a vaccine should be tested
extensively for safety, and they are,

818
00:14:13,510 --> 00:14:13,520
extensively for safety, and they are,
 

819
00:14:13,520 --> 00:14:16,069
extensively for safety, and they are,
without exception. Aaron pretends that

820
00:14:16,069 --> 00:14:16,079
without exception. Aaron pretends that
 

821
00:14:16,079 --> 00:14:18,590
without exception. Aaron pretends that
components of vaccines must be tested

822
00:14:18,590 --> 00:14:18,600
components of vaccines must be tested
 

823
00:14:18,600 --> 00:14:21,430
components of vaccines must be tested
specifically against saline, or salt

824
00:14:21,430 --> 00:14:21,440
specifically against saline, or salt
 

825
00:14:21,440 --> 00:14:24,030
specifically against saline, or salt
water, meaning nothing, basically. This

826
00:14:24,030 --> 00:14:24,040
water, meaning nothing, basically. This
 

827
00:14:24,040 --> 00:14:26,110
water, meaning nothing, basically. This
is ridiculous. He wants you to believe

828
00:14:26,110 --> 00:14:26,120
is ridiculous. He wants you to believe
 

829
00:14:26,120 --> 00:14:28,230
is ridiculous. He wants you to believe
that it's exclusively vaccine versus

830
00:14:28,230 --> 00:14:28,240
that it's exclusively vaccine versus
 

831
00:14:28,240 --> 00:14:30,550
that it's exclusively vaccine versus
saline to assess safety. Otherwise,

832
00:14:30,550 --> 00:14:30,560
saline to assess safety. Otherwise,
 

833
00:14:30,560 --> 00:14:32,630
saline to assess safety. Otherwise,
whoopsie, no safety studies were done.

834
00:14:32,630 --> 00:14:32,640
whoopsie, no safety studies were done.
 

835
00:14:32,640 --> 00:14:33,829
whoopsie, no safety studies were done.
Everyone could have died from the

836
00:14:33,829 --> 00:14:33,839
Everyone could have died from the
 

837
00:14:33,839 --> 00:14:36,310
Everyone could have died from the
vaccine. This is [\h__\h] Every

838
00:14:36,310 --> 00:14:36,320
vaccine. This is [\h__\h] Every
 

839
00:14:36,320 --> 00:14:38,829
vaccine. This is [\h__\h] Every
component is tested rigorously, whether

840
00:14:38,829 --> 00:14:38,839
component is tested rigorously, whether
 

841
00:14:38,839 --> 00:14:40,910
component is tested rigorously, whether
we are talking about the antigen itself,

842
00:14:40,910 --> 00:14:40,920
we are talking about the antigen itself,
 

843
00:14:40,920 --> 00:14:43,470
we are talking about the antigen itself,
preservatives, adjuvants, any of it.

844
00:14:43,470 --> 00:14:43,480
preservatives, adjuvants, any of it.
 

845
00:14:43,480 --> 00:14:45,470
preservatives, adjuvants, any of it.
They test adjuvants without the antigen

846
00:14:45,470 --> 00:14:45,480
They test adjuvants without the antigen
 

847
00:14:45,480 --> 00:14:47,630
They test adjuvants without the antigen
present. They test components against

848
00:14:47,630 --> 00:14:47,640
present. They test components against
 

849
00:14:47,640 --> 00:14:49,030
present. They test components against
other similar components that have

850
00:14:49,030 --> 00:14:49,040
other similar components that have
 

851
00:14:49,040 --> 00:14:50,990
other similar components that have
already had their safety demonstrated.

852
00:14:50,990 --> 00:14:51,000
already had their safety demonstrated.
 

853
00:14:51,000 --> 00:14:54,069
already had their safety demonstrated.
And, get this, they also frequently do

854
00:14:54,069 --> 00:14:54,079
And, get this, they also frequently do
 

855
00:14:54,079 --> 00:14:56,910
And, get this, they also frequently do
indeed test against a control of saline.

856
00:14:56,910 --> 00:14:56,920
indeed test against a control of saline.
 

857
00:14:56,920 --> 00:14:58,870
indeed test against a control of saline.
So, beyond the claim being misleading,

858
00:14:58,870 --> 00:14:58,880
So, beyond the claim being misleading,
 

859
00:14:58,880 --> 00:15:00,990
So, beyond the claim being misleading,
it's just flat-out wrong. Here are a

860
00:15:00,990 --> 00:15:01,000
it's just flat-out wrong. Here are a
 

861
00:15:01,000 --> 00:15:03,030
it's just flat-out wrong. Here are a
bunch of vaccines that have been tested

862
00:15:03,030 --> 00:15:03,040
bunch of vaccines that have been tested
 

863
00:15:03,040 --> 00:15:05,390
bunch of vaccines that have been tested
against an inert saline placebo. It

864
00:15:05,390 --> 00:15:05,400
against an inert saline placebo. It
 

865
00:15:05,400 --> 00:15:07,829
against an inert saline placebo. It
happens all the time. So, when Aaron

866
00:15:07,829 --> 00:15:07,839
happens all the time. So, when Aaron
 

867
00:15:07,839 --> 00:15:10,310
happens all the time. So, when Aaron
says this, or Bobby, or whichever other

868
00:15:10,310 --> 00:15:10,320
says this, or Bobby, or whichever other
 

869
00:15:10,320 --> 00:15:12,270
says this, or Bobby, or whichever other
fraud is parroting this talking point,

870
00:15:12,270 --> 00:15:12,280
fraud is parroting this talking point,
 

871
00:15:12,280 --> 00:15:14,069
fraud is parroting this talking point,
it's nothing more than a cocktail of

872
00:15:14,069 --> 00:15:14,079
it's nothing more than a cocktail of
 

873
00:15:14,079 --> 00:15:16,750
it's nothing more than a cocktail of
lies and deception. Continuing, once a

874
00:15:16,750 --> 00:15:16,760
lies and deception. Continuing, once a
 

875
00:15:16,760 --> 00:15:18,670
lies and deception. Continuing, once a
vaccine is proven effective against a

876
00:15:18,670 --> 00:15:18,680
vaccine is proven effective against a
 

877
00:15:18,680 --> 00:15:21,230
vaccine is proven effective against a
serious disease, it becomes unethical to

878
00:15:21,230 --> 00:15:21,240
serious disease, it becomes unethical to
 

879
00:15:21,240 --> 00:15:22,590
serious disease, it becomes unethical to
withhold it from children for an

880
00:15:22,590 --> 00:15:22,600
withhold it from children for an
 

881
00:15:22,600 --> 00:15:25,270
withhold it from children for an
extended period as part of a placebo arm

882
00:15:25,270 --> 00:15:25,280
extended period as part of a placebo arm
 

883
00:15:25,280 --> 00:15:27,390
extended period as part of a placebo arm
of a study. You can't tell a parent that

884
00:15:27,390 --> 00:15:27,400
of a study. You can't tell a parent that
 

885
00:15:27,400 --> 00:15:29,270
of a study. You can't tell a parent that
you're immunizing their child against a

886
00:15:29,270 --> 00:15:29,280
you're immunizing their child against a
 

887
00:15:29,280 --> 00:15:31,710
you're immunizing their child against a
particular disease and then not do it.

888
00:15:31,710 --> 00:15:31,720
particular disease and then not do it.
 

889
00:15:31,720 --> 00:15:33,870
particular disease and then not do it.
That would be insane. That's why

890
00:15:33,870 --> 00:15:33,880
That would be insane. That's why
 

891
00:15:33,880 --> 00:15:36,750
That would be insane. That's why
long-term placebo-controlled trials stop

892
00:15:36,750 --> 00:15:36,760
long-term placebo-controlled trials stop
 

893
00:15:36,760 --> 00:15:39,510
long-term placebo-controlled trials stop
once efficacy is established. After that

894
00:15:39,510 --> 00:15:39,520
once efficacy is established. After that
 

895
00:15:39,520 --> 00:15:41,150
once efficacy is established. After that
point, safety is monitored through

896
00:15:41,150 --> 00:15:41,160
point, safety is monitored through
 

897
00:15:41,160 --> 00:15:43,430
point, safety is monitored through
massive post-licensure systems like

898
00:15:43,430 --> 00:15:43,440
massive post-licensure systems like
 

899
00:15:43,440 --> 00:15:46,430
massive post-licensure systems like
VAERS, Vaccine Safety Datalink, or VSD,

900
00:15:46,430 --> 00:15:46,440
VAERS, Vaccine Safety Datalink, or VSD,
 

901
00:15:46,440 --> 00:15:49,270
VAERS, Vaccine Safety Datalink, or VSD,
PRISM, and BEST. These have tracked tens

902
00:15:49,270 --> 00:15:49,280
PRISM, and BEST. These have tracked tens
 

903
00:15:49,280 --> 00:15:51,350
PRISM, and BEST. These have tracked tens
of millions of doses, and this is how

904
00:15:51,350 --> 00:15:51,360
of millions of doses, and this is how
 

905
00:15:51,360 --> 00:15:53,230
of millions of doses, and this is how
the extremely rare adverse events from

906
00:15:53,230 --> 00:15:53,240
the extremely rare adverse events from
 

907
00:15:53,240 --> 00:15:55,030
the extremely rare adverse events from
COVID vaccines were spotted. This

908
00:15:55,030 --> 00:15:55,040
COVID vaccines were spotted. This
 

909
00:15:55,040 --> 00:15:56,949
COVID vaccines were spotted. This
includes myocarditis in young men from

910
00:15:56,949 --> 00:15:56,959
includes myocarditis in young men from
 

911
00:15:56,959 --> 00:15:59,430
includes myocarditis in young men from
the mRNA vaccines. It also includes

912
00:15:59,430 --> 00:15:59,440
the mRNA vaccines. It also includes
 

913
00:15:59,440 --> 00:16:01,390
the mRNA vaccines. It also includes
thrombosis with thrombocytopenia

914
00:16:01,390 --> 00:16:01,400
thrombosis with thrombocytopenia
 

915
00:16:01,400 --> 00:16:03,790
thrombosis with thrombocytopenia
syndrome from the non-mRNA-based

916
00:16:03,790 --> 00:16:03,800
syndrome from the non-mRNA-based
 

917
00:16:03,800 --> 00:16:06,190
syndrome from the non-mRNA-based
adenoviral vaccines like Janssen, which

918
00:16:06,190 --> 00:16:06,200
adenoviral vaccines like Janssen, which
 

919
00:16:06,200 --> 00:16:08,150
adenoviral vaccines like Janssen, which
caused 10 deaths in the United States

920
00:16:08,150 --> 00:16:08,160
caused 10 deaths in the United States
 

921
00:16:08,160 --> 00:16:09,550
caused 10 deaths in the United States
before being swiftly pulled from the

922
00:16:09,550 --> 00:16:09,560
before being swiftly pulled from the
 

923
00:16:09,560 --> 00:16:11,870
before being swiftly pulled from the
market. Both of these were so rare that

924
00:16:11,870 --> 00:16:11,880
market. Both of these were so rare that
 

925
00:16:11,880 --> 00:16:14,470
market. Both of these were so rare that
phase 3 clinical trials just don't have

926
00:16:14,470 --> 00:16:14,480
phase 3 clinical trials just don't have
 

927
00:16:14,480 --> 00:16:16,550
phase 3 clinical trials just don't have
the statistical power to detect them.

928
00:16:16,550 --> 00:16:16,560
the statistical power to detect them.
 

929
00:16:16,560 --> 00:16:18,510
the statistical power to detect them.
You need millions of recipients for them

930
00:16:18,510 --> 00:16:18,520
You need millions of recipients for them
 

931
00:16:18,520 --> 00:16:21,230
You need millions of recipients for them
to show up. And again, saline was used

932
00:16:21,230 --> 00:16:21,240
to show up. And again, saline was used
 

933
00:16:21,240 --> 00:16:23,350
to show up. And again, saline was used
as the placebo during COVID vaccine

934
00:16:23,350 --> 00:16:23,360
as the placebo during COVID vaccine
 

935
00:16:23,360 --> 00:16:26,110
as the placebo during COVID vaccine
trials. These events are so rare that

936
00:16:26,110 --> 00:16:26,120
trials. These events are so rare that
 

937
00:16:26,120 --> 00:16:27,949
trials. These events are so rare that
they were undetectable in trials

938
00:16:27,949 --> 00:16:27,959
they were undetectable in trials
 

939
00:16:27,959 --> 00:16:30,630
they were undetectable in trials
containing 40,000 people. So, for anyone

940
00:16:30,630 --> 00:16:30,640
containing 40,000 people. So, for anyone
 

941
00:16:30,640 --> 00:16:32,550
containing 40,000 people. So, for anyone
to reference them as a criticism of the

942
00:16:32,550 --> 00:16:32,560
to reference them as a criticism of the
 

943
00:16:32,560 --> 00:16:34,790
to reference them as a criticism of the
way vaccines are tested just doesn't

944
00:16:34,790 --> 00:16:34,800
way vaccines are tested just doesn't
 

945
00:16:34,800 --> 00:16:36,550
way vaccines are tested just doesn't
understand how any of this actually

946
00:16:36,550 --> 00:16:36,560
understand how any of this actually
 

947
00:16:36,560 --> 00:16:38,590
understand how any of this actually
works. I talked about all of this in

948
00:16:38,590 --> 00:16:38,600
works. I talked about all of this in
 

949
00:16:38,600 --> 00:16:40,750
works. I talked about all of this in
extreme detail in my videos on Steve

950
00:16:40,750 --> 00:16:40,760
extreme detail in my videos on Steve
 

951
00:16:40,760 --> 00:16:42,550
extreme detail in my videos on Steve
Kirsch, Pierre Kory, and Peter

952
00:16:42,550 --> 00:16:42,560
Kirsch, Pierre Kory, and Peter
 

953
00:16:42,560 --> 00:16:44,350
Kirsch, Pierre Kory, and Peter
McCullough, and I'll again reference

954
00:16:44,350 --> 00:16:44,360
McCullough, and I'll again reference
 

955
00:16:44,360 --> 00:16:46,470
McCullough, and I'll again reference
Jeffrey Morris's paper on post-licensure

956
00:16:46,470 --> 00:16:46,480
Jeffrey Morris's paper on post-licensure
 

957
00:16:46,480 --> 00:16:48,430
Jeffrey Morris's paper on post-licensure
surveillance systems. To speak more

958
00:16:48,430 --> 00:16:48,440
surveillance systems. To speak more
 

959
00:16:48,440 --> 00:16:49,990
surveillance systems. To speak more
broadly, the National Academy of

960
00:16:49,990 --> 00:16:50,000
broadly, the National Academy of
 

961
00:16:50,000 --> 00:16:52,069
broadly, the National Academy of
Medicine and FDA have reviewed the

962
00:16:52,069 --> 00:16:52,079
Medicine and FDA have reviewed the
 

963
00:16:52,079 --> 00:16:54,670
Medicine and FDA have reviewed the
entire childhood schedule repeatedly.

964
00:16:54,670 --> 00:16:54,680
entire childhood schedule repeatedly.
 

965
00:16:54,680 --> 00:16:57,150
entire childhood schedule repeatedly.
There is no evidence whatsoever of

966
00:16:57,150 --> 00:16:57,160
There is no evidence whatsoever of
 

967
00:16:57,160 --> 00:16:58,949
There is no evidence whatsoever of
systematic safety failures from

968
00:16:58,949 --> 00:16:58,959
systematic safety failures from
 

969
00:16:58,959 --> 00:17:01,069
systematic safety failures from
inadequate pre-licensure testing. The

970
00:17:01,069 --> 00:17:01,079
inadequate pre-licensure testing. The
 

971
00:17:01,079 --> 00:17:03,069
inadequate pre-licensure testing. The
only corruption we are seeing is under

972
00:17:03,069 --> 00:17:03,079
only corruption we are seeing is under
 

973
00:17:03,079 --> 00:17:05,470
only corruption we are seeing is under
Bobby's HHS and his meddling with the

974
00:17:05,470 --> 00:17:05,480
Bobby's HHS and his meddling with the
 

975
00:17:05,480 --> 00:17:07,510
Bobby's HHS and his meddling with the
ACIP vaccine panel and their recommended

976
00:17:07,510 --> 00:17:07,520
ACIP vaccine panel and their recommended
 

977
00:17:07,520 --> 00:17:09,630
ACIP vaccine panel and their recommended
vaccines, now attempting to rescind

978
00:17:09,630 --> 00:17:09,640
vaccines, now attempting to rescind
 

979
00:17:09,640 --> 00:17:11,470
vaccines, now attempting to rescind
recommendation for extremely important

980
00:17:11,470 --> 00:17:11,480
recommendation for extremely important
 

981
00:17:11,480 --> 00:17:13,710
recommendation for extremely important
vaccines like hepatitis A and B,

982
00:17:13,710 --> 00:17:13,720
vaccines like hepatitis A and B,
 

983
00:17:13,720 --> 00:17:16,990
vaccines like hepatitis A and B,
influenza, RSV, and meningitis. That's

984
00:17:16,990 --> 00:17:17,000
influenza, RSV, and meningitis. That's
 

985
00:17:17,000 --> 00:17:19,150
influenza, RSV, and meningitis. That's
the corruption, not anything to do with

986
00:17:19,150 --> 00:17:19,160
the corruption, not anything to do with
 

987
00:17:19,160 --> 00:17:21,350
the corruption, not anything to do with
the FDA approval of vaccines that have

988
00:17:21,350 --> 00:17:21,360
the FDA approval of vaccines that have
 

989
00:17:21,360 --> 00:17:23,790
the FDA approval of vaccines that have
demonstrated safety and efficacy. So, as

990
00:17:23,790 --> 00:17:23,800
demonstrated safety and efficacy. So, as
 

991
00:17:23,800 --> 00:17:25,669
demonstrated safety and efficacy. So, as
you can see, Aaron's rhetoric is nothing

992
00:17:25,669 --> 00:17:25,679
you can see, Aaron's rhetoric is nothing
 

993
00:17:25,679 --> 00:17:27,910
you can see, Aaron's rhetoric is nothing
but shady lawyer speak. They didn't test

994
00:17:27,910 --> 00:17:27,920
but shady lawyer speak. They didn't test
 

995
00:17:27,920 --> 00:17:29,830
but shady lawyer speak. They didn't test
against saline, so we don't know it's

996
00:17:29,830 --> 00:17:29,840
against saline, so we don't know it's
 

997
00:17:29,840 --> 00:17:32,590
against saline, so we don't know it's
safe. In reality, everything is tested

998
00:17:32,590 --> 00:17:32,600
safe. In reality, everything is tested
 

999
00:17:32,600 --> 00:17:34,710
safe. In reality, everything is tested
against an appropriate placebo, which

1000
00:17:34,710 --> 00:17:34,720
against an appropriate placebo, which
 

1001
00:17:34,720 --> 00:17:37,510
against an appropriate placebo, which
often even includes saline. Got anything

1002
00:17:37,510 --> 00:17:37,520
often even includes saline. Got anything
 

1003
00:17:37,520 --> 00:17:39,430
often even includes saline. Got anything
else, Aaron? Based on our over 2,000

1004
00:17:39,430 --> 00:17:39,440
else, Aaron? Based on our over 2,000
 

1005
00:17:39,440 --> 00:17:41,350
else, Aaron? Based on our over 2,000
FOIA requests to federal health agencies

1006
00:17:41,350 --> 00:17:41,360
FOIA requests to federal health agencies
 

1007
00:17:41,360 --> 00:17:42,669
FOIA requests to federal health agencies
over the years on behalf of our client,

1008
00:17:42,669 --> 00:17:42,679
over the years on behalf of our client,
 

1009
00:17:42,679 --> 00:17:44,790
over the years on behalf of our client,
I can I could tell you our federal

1010
00:17:44,790 --> 00:17:44,800
I can I could tell you our federal
 

1011
00:17:44,800 --> 00:17:46,550
I can I could tell you our federal
health agencies act like partners of

1012
00:17:46,550 --> 00:17:46,560
health agencies act like partners of
 

1013
00:17:46,560 --> 00:17:47,669
health agencies act like partners of
pharma.

1014
00:17:47,669 --> 00:17:47,679
pharma.
 

1015
00:17:47,679 --> 00:17:48,990
pharma.
They don't they they don't they're not

1016
00:17:48,990 --> 00:17:49,000
They don't they they don't they're not
 

1017
00:17:49,000 --> 00:17:51,390
They don't they they don't they're not
only they encourage their inroads, they

1018
00:17:51,390 --> 00:17:51,400
only they encourage their inroads, they
 

1019
00:17:51,400 --> 00:17:53,310
only they encourage their inroads, they
act basically in the shoes of pharma

1020
00:17:53,310 --> 00:17:53,320
act basically in the shoes of pharma
 

1021
00:17:53,320 --> 00:17:55,110
act basically in the shoes of pharma
because when the immunity to liability

1022
00:17:55,110 --> 00:17:55,120
because when the immunity to liability
 

1023
00:17:55,120 --> 00:17:56,990
because when the immunity to liability
was given to the pharmaceutical

1024
00:17:56,990 --> 00:17:57,000
was given to the pharmaceutical
 

1025
00:17:57,000 --> 00:17:58,910
was given to the pharmaceutical
companies, Congress recognized that

1026
00:17:58,910 --> 00:17:58,920
companies, Congress recognized that
 

1027
00:17:58,920 --> 00:18:00,150
companies, Congress recognized that
apparently and transferred all the

1028
00:18:00,150 --> 00:18:00,160
apparently and transferred all the
 

1029
00:18:00,160 --> 00:18:02,790
apparently and transferred all the
safety functions to HHS and the mandate

1030
00:18:02,790 --> 00:18:02,800
safety functions to HHS and the mandate
 

1031
00:18:02,800 --> 00:18:04,990
safety functions to HHS and the mandate
for safer child vaccines. And by doing

1032
00:18:04,990 --> 00:18:05,000
for safer child vaccines. And by doing
 

1033
00:18:05,000 --> 00:18:06,390
for safer child vaccines. And by doing
so, it's made them hopelessly

1034
00:18:06,390 --> 00:18:06,400
so, it's made them hopelessly
 

1035
00:18:06,400 --> 00:18:08,990
so, it's made them hopelessly
conflicted. Everyone is evil but me.

1036
00:18:08,990 --> 00:18:09,000
conflicted. Everyone is evil but me.
 

1037
00:18:09,000 --> 00:18:11,150
conflicted. Everyone is evil but me.
Stupid pharma from the private sector is

1038
00:18:11,150 --> 00:18:11,160
Stupid pharma from the private sector is
 

1039
00:18:11,160 --> 00:18:13,590
Stupid pharma from the private sector is
evil. Stupid FDA from the government is

1040
00:18:13,590 --> 00:18:13,600
evil. Stupid FDA from the government is
 

1041
00:18:13,600 --> 00:18:15,950
evil. Stupid FDA from the government is
evil. Only us brave anti-vaccine

1042
00:18:15,950 --> 00:18:15,960
evil. Only us brave anti-vaccine
 

1043
00:18:15,960 --> 00:18:18,030
evil. Only us brave anti-vaccine
warriors are fighting for the truth.

1044
00:18:18,030 --> 00:18:18,040
warriors are fighting for the truth.
 

1045
00:18:18,040 --> 00:18:20,270
warriors are fighting for the truth.
[\h__\h] ridiculous. There is no

1046
00:18:20,270 --> 00:18:20,280
[\h__\h] ridiculous. There is no
 

1047
00:18:20,280 --> 00:18:22,790
[\h__\h] ridiculous. There is no
conflict. Forget that the entire story

1048
00:18:22,790 --> 00:18:22,800
conflict. Forget that the entire story
 

1049
00:18:22,800 --> 00:18:24,669
conflict. Forget that the entire story
is rendered impotent by the fact that

1050
00:18:24,669 --> 00:18:24,679
is rendered impotent by the fact that
 

1051
00:18:24,679 --> 00:18:26,710
is rendered impotent by the fact that
other countries exist with their own

1052
00:18:26,710 --> 00:18:26,720
other countries exist with their own
 

1053
00:18:26,720 --> 00:18:28,590
other countries exist with their own
regulatory bodies, as well as

1054
00:18:28,590 --> 00:18:28,600
regulatory bodies, as well as
 

1055
00:18:28,600 --> 00:18:30,630
regulatory bodies, as well as
independent research groups. But, let's

1056
00:18:30,630 --> 00:18:30,640
independent research groups. But, let's
 

1057
00:18:30,640 --> 00:18:32,510
independent research groups. But, let's
stick to his dishonest framing, which

1058
00:18:32,510 --> 00:18:32,520
stick to his dishonest framing, which
 

1059
00:18:32,520 --> 00:18:34,310
stick to his dishonest framing, which
pretends that only the United States

1060
00:18:34,310 --> 00:18:34,320
pretends that only the United States
 

1061
00:18:34,320 --> 00:18:37,110
pretends that only the United States
exists. The purpose of the FDA is to

1062
00:18:37,110 --> 00:18:37,120
exists. The purpose of the FDA is to
 

1063
00:18:37,120 --> 00:18:39,470
exists. The purpose of the FDA is to
regulate food and drugs. Around one in

1064
00:18:39,470 --> 00:18:39,480
regulate food and drugs. Around one in
 

1065
00:18:39,480 --> 00:18:41,310
regulate food and drugs. Around one in
10 drugs that enter clinical trials

1066
00:18:41,310 --> 00:18:41,320
10 drugs that enter clinical trials
 

1067
00:18:41,320 --> 00:18:43,110
10 drugs that enter clinical trials
receive FDA approval and make it to

1068
00:18:43,110 --> 00:18:43,120
receive FDA approval and make it to
 

1069
00:18:43,120 --> 00:18:45,990
receive FDA approval and make it to
market. If the FDA and pharma were one

1070
00:18:45,990 --> 00:18:46,000
market. If the FDA and pharma were one
 

1071
00:18:46,000 --> 00:18:48,110
market. If the FDA and pharma were one
in the same, and the whole system was

1072
00:18:48,110 --> 00:18:48,120
in the same, and the whole system was
 

1073
00:18:48,120 --> 00:18:50,430
in the same, and the whole system was
hopelessly broken, and all the evil

1074
00:18:50,430 --> 00:18:50,440
hopelessly broken, and all the evil
 

1075
00:18:50,440 --> 00:18:52,350
hopelessly broken, and all the evil
poison drugs were out there poisoning

1076
00:18:52,350 --> 00:18:52,360
poison drugs were out there poisoning
 

1077
00:18:52,360 --> 00:18:54,909
poison drugs were out there poisoning
everybody, what would that number be?

1078
00:18:54,909 --> 00:18:54,919
everybody, what would that number be?
 

1079
00:18:54,919 --> 00:18:58,430
everybody, what would that number be?
100 [\h__\h] percent. This dual narrative

1080
00:18:58,430 --> 00:18:58,440
100 [\h__\h] percent. This dual narrative
 

1081
00:18:58,440 --> 00:19:00,790
100 [\h__\h] percent. This dual narrative
seeks to villainize drug manufacturers

1082
00:19:00,790 --> 00:19:00,800
seeks to villainize drug manufacturers
 

1083
00:19:00,800 --> 00:19:02,710
seeks to villainize drug manufacturers
so that they have an enemy to fight, as

1084
00:19:02,710 --> 00:19:02,720
so that they have an enemy to fight, as
 

1085
00:19:02,720 --> 00:19:04,909
so that they have an enemy to fight, as
well as the FDA, so that Bobby has an

1086
00:19:04,909 --> 00:19:04,919
well as the FDA, so that Bobby has an
 

1087
00:19:04,919 --> 00:19:06,550
well as the FDA, so that Bobby has an
excuse to dismantle the entire

1088
00:19:06,550 --> 00:19:06,560
excuse to dismantle the entire
 

1089
00:19:06,560 --> 00:19:08,669
excuse to dismantle the entire
institution from the inside under the

1090
00:19:08,669 --> 00:19:08,679
institution from the inside under the
 

1091
00:19:08,679 --> 00:19:10,750
institution from the inside under the
guise of rooting out corruption, when

1092
00:19:10,750 --> 00:19:10,760
guise of rooting out corruption, when
 

1093
00:19:10,760 --> 00:19:12,350
guise of rooting out corruption, when
he's actually just diminishing its

1094
00:19:12,350 --> 00:19:12,360
he's actually just diminishing its
 

1095
00:19:12,360 --> 00:19:14,350
he's actually just diminishing its
ability to perform crucial regulatory

1096
00:19:14,350 --> 00:19:14,360
ability to perform crucial regulatory
 

1097
00:19:14,360 --> 00:19:16,470
ability to perform crucial regulatory
functions. The thing about frauds like

1098
00:19:16,470 --> 00:19:16,480
functions. The thing about frauds like
 

1099
00:19:16,480 --> 00:19:18,310
functions. The thing about frauds like
Bobby and Aaron is that they love to

1100
00:19:18,310 --> 00:19:18,320
Bobby and Aaron is that they love to
 

1101
00:19:18,320 --> 00:19:20,310
Bobby and Aaron is that they love to
pretend they're so methodical in their

1102
00:19:20,310 --> 00:19:20,320
pretend they're so methodical in their
 

1103
00:19:20,320 --> 00:19:22,590
pretend they're so methodical in their
anti-vaccine assertions that they are

1104
00:19:22,590 --> 00:19:22,600
anti-vaccine assertions that they are
 

1105
00:19:22,600 --> 00:19:24,750
anti-vaccine assertions that they are
identifying specific vaccines and

1106
00:19:24,750 --> 00:19:24,760
identifying specific vaccines and
 

1107
00:19:24,760 --> 00:19:26,950
identifying specific vaccines and
specific components that do specific

1108
00:19:26,950 --> 00:19:26,960
specific components that do specific
 

1109
00:19:26,960 --> 00:19:30,270
specific components that do specific
harm, but they're just not. It's blanket

1110
00:19:30,270 --> 00:19:30,280
harm, but they're just not. It's blanket
 

1111
00:19:30,280 --> 00:19:32,669
harm, but they're just not. It's blanket
science denial aimed at literally all

1112
00:19:32,669 --> 00:19:32,679
science denial aimed at literally all
 

1113
00:19:32,679 --> 00:19:35,430
science denial aimed at literally all
vaccines. Want proof? Can you think of a

1114
00:19:35,430 --> 00:19:35,440
vaccines. Want proof? Can you think of a
 

1115
00:19:35,440 --> 00:19:37,630
vaccines. Want proof? Can you think of a
vaccine that has saved more lives and

1116
00:19:37,630 --> 00:19:37,640
vaccine that has saved more lives and
 

1117
00:19:37,640 --> 00:19:39,950
vaccine that has saved more lives and
demonstrated its safety and efficacy

1118
00:19:39,950 --> 00:19:39,960
demonstrated its safety and efficacy
 

1119
00:19:39,960 --> 00:19:42,590
demonstrated its safety and efficacy
more thoroughly than the polio vaccine?

1120
00:19:42,590 --> 00:19:42,600
more thoroughly than the polio vaccine?
 

1121
00:19:42,600 --> 00:19:44,790
more thoroughly than the polio vaccine?
Uh Kennedy lawyer Aaron Siri, who's been

1122
00:19:44,790 --> 00:19:44,800
Uh Kennedy lawyer Aaron Siri, who's been
 

1123
00:19:44,800 --> 00:19:46,750
Uh Kennedy lawyer Aaron Siri, who's been
helping him pick federal health

1124
00:19:46,750 --> 00:19:46,760
helping him pick federal health
 

1125
00:19:46,760 --> 00:19:47,750
helping him pick federal health
officials for the incoming

1126
00:19:47,750 --> 00:19:47,760
officials for the incoming
 

1127
00:19:47,760 --> 00:19:50,070
officials for the incoming
administration, asked the FDA to revoke

1128
00:19:50,070 --> 00:19:50,080
administration, asked the FDA to revoke
 

1129
00:19:50,080 --> 00:19:51,950
administration, asked the FDA to revoke
the approval of the polio vaccine. That

1130
00:19:51,950 --> 00:19:51,960
the approval of the polio vaccine. That
 

1131
00:19:51,960 --> 00:19:53,430
the approval of the polio vaccine. That
was 2 years ago according to the New

1132
00:19:53,430 --> 00:19:53,440
was 2 years ago according to the New
 

1133
00:19:53,440 --> 00:19:55,830
was 2 years ago according to the New
York Times. Now, McConnell, who is a

1134
00:19:55,830 --> 00:19:55,840
York Times. Now, McConnell, who is a
 

1135
00:19:55,840 --> 00:19:58,070
York Times. Now, McConnell, who is a
polio survivor, said the vaccine has

1136
00:19:58,070 --> 00:19:58,080
polio survivor, said the vaccine has
 

1137
00:19:58,080 --> 00:20:00,270
polio survivor, said the vaccine has
saved millions of lives and quote

1138
00:20:00,270 --> 00:20:00,280
saved millions of lives and quote
 

1139
00:20:00,280 --> 00:20:02,950
saved millions of lives and quote
efforts to undermine public confidence

1140
00:20:02,950 --> 00:20:02,960
efforts to undermine public confidence
 

1141
00:20:02,960 --> 00:20:05,910
efforts to undermine public confidence
in proven cures are not just uninformed,

1142
00:20:05,910 --> 00:20:05,920
in proven cures are not just uninformed,
 

1143
00:20:05,920 --> 00:20:08,310
in proven cures are not just uninformed,
they're dangerous. Do you know how big

1144
00:20:08,310 --> 00:20:08,320
they're dangerous. Do you know how big
 

1145
00:20:08,320 --> 00:20:10,510
they're dangerous. Do you know how big
of a piece of [\h__\h] you have to be to

1146
00:20:10,510 --> 00:20:10,520
of a piece of [\h__\h] you have to be to
 

1147
00:20:10,520 --> 00:20:12,590
of a piece of [\h__\h] you have to be to
make Mitch McConnell the voice of

1148
00:20:12,590 --> 00:20:12,600
make Mitch McConnell the voice of
 

1149
00:20:12,600 --> 00:20:15,150
make Mitch McConnell the voice of
reason? These jerks are attacking the

1150
00:20:15,150 --> 00:20:15,160
reason? These jerks are attacking the
 

1151
00:20:15,160 --> 00:20:18,590
reason? These jerks are attacking the
polio vaccine. The [\h__\h] polio

1152
00:20:18,590 --> 00:20:18,600
polio vaccine. The [\h__\h] polio
 

1153
00:20:18,600 --> 00:20:21,350
polio vaccine. The [\h__\h] polio
vaccine. What better demonstration do

1154
00:20:21,350 --> 00:20:21,360
vaccine. What better demonstration do
 

1155
00:20:21,360 --> 00:20:23,830
vaccine. What better demonstration do
you need that they are simply waging war

1156
00:20:23,830 --> 00:20:23,840
you need that they are simply waging war
 

1157
00:20:23,840 --> 00:20:26,430
you need that they are simply waging war
on vaccines in general? All of these

1158
00:20:26,430 --> 00:20:26,440
on vaccines in general? All of these
 

1159
00:20:26,440 --> 00:20:28,710
on vaccines in general? All of these
frauds eventually reveal their cards in

1160
00:20:28,710 --> 00:20:28,720
frauds eventually reveal their cards in
 

1161
00:20:28,720 --> 00:20:30,630
frauds eventually reveal their cards in
this manner. This is just like when I

1162
00:20:30,630 --> 00:20:30,640
this manner. This is just like when I
 

1163
00:20:30,640 --> 00:20:32,550
this manner. This is just like when I
pressed Pierre Kory in our debate.

1164
00:20:32,550 --> 00:20:32,560
pressed Pierre Kory in our debate.
 

1165
00:20:32,560 --> 00:20:34,110
pressed Pierre Kory in our debate.
>> It's funny to me because it's always the

1166
00:20:34,110 --> 00:20:34,120
>> It's funny to me because it's always the
 

1167
00:20:34,120 --> 00:20:36,910
>> It's funny to me because it's always the
same story, right? I was pro-vax and my

1168
00:20:36,910 --> 00:20:36,920
same story, right? I was pro-vax and my
 

1169
00:20:36,920 --> 00:20:39,030
same story, right? I was pro-vax and my
kids are vaccinated. It's just the COVID

1170
00:20:39,030 --> 00:20:39,040
kids are vaccinated. It's just the COVID
 

1171
00:20:39,040 --> 00:20:40,630
kids are vaccinated. It's just the COVID
vax. But if it was just the COVID

1172
00:20:40,630 --> 00:20:40,640
vax. But if it was just the COVID
 

1173
00:20:40,640 --> 00:20:42,310
vax. But if it was just the COVID
vaccine, why are we here talking about

1174
00:20:42,310 --> 00:20:42,320
vaccine, why are we here talking about
 

1175
00:20:42,320 --> 00:20:44,150
vaccine, why are we here talking about
the entire vaccine schedule? Right, why

1176
00:20:44,150 --> 00:20:44,160
the entire vaccine schedule? Right, why
 

1177
00:20:44,160 --> 00:20:45,550
the entire vaccine schedule? Right, why
are we talking about vaccines and

1178
00:20:45,550 --> 00:20:45,560
are we talking about vaccines and
 

1179
00:20:45,560 --> 00:20:47,470
are we talking about vaccines and
autism? Is there a vaccine in the

1180
00:20:47,470 --> 00:20:47,480
autism? Is there a vaccine in the
 

1181
00:20:47,480 --> 00:20:50,030
autism? Is there a vaccine in the
schedule that you think is good? What

1182
00:20:50,030 --> 00:20:50,040
schedule that you think is good? What
 

1183
00:20:50,040 --> 00:20:52,630
schedule that you think is good? What
how how is it that we're always fixating

1184
00:20:52,630 --> 00:20:52,640
how how is it that we're always fixating
 

1185
00:20:52,640 --> 00:20:54,070
how how is it that we're always fixating
on the COVID vaccine and then all of

1186
00:20:54,070 --> 00:20:54,080
on the COVID vaccine and then all of
 

1187
00:20:54,080 --> 00:20:55,390
on the COVID vaccine and then all of
these people here that are supporting

1188
00:20:55,390 --> 00:20:55,400
these people here that are supporting
 

1189
00:20:55,400 --> 00:20:57,270
these people here that are supporting
you are just magically against all

1190
00:20:57,270 --> 00:20:57,280
you are just magically against all
 

1191
00:20:57,280 --> 00:20:58,750
you are just magically against all
vaccines, right? If you're not

1192
00:20:58,750 --> 00:20:58,760
vaccines, right? If you're not
 

1193
00:20:58,760 --> 00:21:00,670
vaccines, right? If you're not
anti-vaxers, how did that happen

1194
00:21:00,670 --> 00:21:00,680
anti-vaxers, how did that happen
 

1195
00:21:00,680 --> 00:21:01,270
anti-vaxers, how did that happen
exactly?

1196
00:21:01,270 --> 00:21:01,280
exactly?
 

1197
00:21:01,280 --> 00:21:02,270
exactly?
>> I'll help you out. It's all of them.

1198
00:21:02,270 --> 00:21:02,280
>> I'll help you out. It's all of them.
 

1199
00:21:02,280 --> 00:21:04,110
>> I'll help you out. It's all of them.
Keep going. Huh? Okay. It's all of them.

1200
00:21:04,110 --> 00:21:04,120
Keep going. Huh? Okay. It's all of them.
 

1201
00:21:04,120 --> 00:21:06,310
Keep going. Huh? Okay. It's all of them.
Keep going. Okay, so he admits it. So

1202
00:21:06,310 --> 00:21:06,320
Keep going. Okay, so he admits it. So
 

1203
00:21:06,320 --> 00:21:09,470
Keep going. Okay, so he admits it. So
you are just against all vaccines. All

1204
00:21:09,470 --> 00:21:09,480
you are just against all vaccines. All
 

1205
00:21:09,480 --> 00:21:12,590
you are just against all vaccines. All
vaccines. Every vaccine is bad. It

1206
00:21:12,590 --> 00:21:12,600
vaccines. Every vaccine is bad. It
 

1207
00:21:12,600 --> 00:21:14,430
vaccines. Every vaccine is bad. It
doesn't matter what's in them. They

1208
00:21:14,430 --> 00:21:14,440
doesn't matter what's in them. They
 

1209
00:21:14,440 --> 00:21:16,830
doesn't matter what's in them. They
could be a live attenuated pathogen, an

1210
00:21:16,830 --> 00:21:16,840
could be a live attenuated pathogen, an
 

1211
00:21:16,840 --> 00:21:19,310
could be a live attenuated pathogen, an
inactivated pathogen, an isolated

1212
00:21:19,310 --> 00:21:19,320
inactivated pathogen, an isolated
 

1213
00:21:19,320 --> 00:21:22,230
inactivated pathogen, an isolated
antigen subunit, mRNA based. They could

1214
00:21:22,230 --> 00:21:22,240
antigen subunit, mRNA based. They could
 

1215
00:21:22,240 --> 00:21:24,830
antigen subunit, mRNA based. They could
have preservatives or not, adjuvants or

1216
00:21:24,830 --> 00:21:24,840
have preservatives or not, adjuvants or
 

1217
00:21:24,840 --> 00:21:27,670
have preservatives or not, adjuvants or
not. Doesn't matter. All vaccines are

1218
00:21:27,670 --> 00:21:27,680
not. Doesn't matter. All vaccines are
 

1219
00:21:27,680 --> 00:21:30,750
not. Doesn't matter. All vaccines are
bad because bad bad yucky vaccines. It

1220
00:21:30,750 --> 00:21:30,760
bad because bad bad yucky vaccines. It
 

1221
00:21:30,760 --> 00:21:33,590
bad because bad bad yucky vaccines. It
makes zero [\h__\h] sense. For something

1222
00:21:33,590 --> 00:21:33,600
makes zero [\h__\h] sense. For something
 

1223
00:21:33,600 --> 00:21:35,590
makes zero [\h__\h] sense. For something
to be harmful, there has to be an active

1224
00:21:35,590 --> 00:21:35,600
to be harmful, there has to be an active
 

1225
00:21:35,600 --> 00:21:37,870
to be harmful, there has to be an active
ingredient and a specific mechanism by

1226
00:21:37,870 --> 00:21:37,880
ingredient and a specific mechanism by
 

1227
00:21:37,880 --> 00:21:39,910
ingredient and a specific mechanism by
which it does harm. They don't have one

1228
00:21:39,910 --> 00:21:39,920
which it does harm. They don't have one
 

1229
00:21:39,920 --> 00:21:41,870
which it does harm. They don't have one
and they never will, which is how Dan

1230
00:21:41,870 --> 00:21:41,880
and they never will, which is how Dan
 

1231
00:21:41,880 --> 00:21:43,750
and they never will, which is how Dan
and I got Pierre so riled up in the

1232
00:21:43,750 --> 00:21:43,760
and I got Pierre so riled up in the
 

1233
00:21:43,760 --> 00:21:46,110
and I got Pierre so riled up in the
debate by asking him repeatedly to make

1234
00:21:46,110 --> 00:21:46,120
debate by asking him repeatedly to make
 

1235
00:21:46,120 --> 00:21:48,310
debate by asking him repeatedly to make
a single concrete coherent claim about

1236
00:21:48,310 --> 00:21:48,320
a single concrete coherent claim about
 

1237
00:21:48,320 --> 00:21:50,510
a single concrete coherent claim about
vaccine ingredients. Anyway, getting

1238
00:21:50,510 --> 00:21:50,520
vaccine ingredients. Anyway, getting
 

1239
00:21:50,520 --> 00:21:53,030
vaccine ingredients. Anyway, getting
back let's move on to the Rogan episode.

1240
00:21:53,030 --> 00:21:53,040
back let's move on to the Rogan episode.
 

1241
00:21:53,040 --> 00:21:55,630
back let's move on to the Rogan episode.
Until this COVID epidemic, I would have

1242
00:21:55,630 --> 00:21:55,640
Until this COVID epidemic, I would have
 

1243
00:21:55,640 --> 00:21:57,070
Until this COVID epidemic, I would have
never questioned it. I mocked

1244
00:21:57,070 --> 00:21:57,080
never questioned it. I mocked
 

1245
00:21:57,080 --> 00:21:58,830
never questioned it. I mocked
anti-vaxers. I was like, these people

1246
00:21:58,830 --> 00:21:58,840
anti-vaxers. I was like, these people
 

1247
00:21:58,840 --> 00:22:01,230
anti-vaxers. I was like, these people
are silly. Don't they know all the good

1248
00:22:01,230 --> 00:22:01,240
are silly. Don't they know all the good
 

1249
00:22:01,240 --> 00:22:03,190
are silly. Don't they know all the good
things that vaccines have done?

1250
00:22:03,190 --> 00:22:03,200
things that vaccines have done?
 

1251
00:22:03,200 --> 00:22:06,310
things that vaccines have done?
And the this the blatant propaganda that

1252
00:22:06,310 --> 00:22:06,320
And the this the blatant propaganda that
 

1253
00:22:06,320 --> 00:22:09,030
And the this the blatant propaganda that
we were force-fed like one of those

1254
00:22:09,030 --> 00:22:09,040
we were force-fed like one of those
 

1255
00:22:09,040 --> 00:22:10,590
we were force-fed like one of those
ducks they're trying to make foie gras

1256
00:22:10,590 --> 00:22:10,600
ducks they're trying to make foie gras
 

1257
00:22:10,600 --> 00:22:13,990
ducks they're trying to make foie gras
with, Mhm. it just made me stop and

1258
00:22:13,990 --> 00:22:14,000
with, Mhm. it just made me stop and
 

1259
00:22:14,000 --> 00:22:15,910
with, Mhm. it just made me stop and
pause and go, is the whole thing like

1260
00:22:15,910 --> 00:22:15,920
pause and go, is the whole thing like
 

1261
00:22:15,920 --> 00:22:18,910
pause and go, is the whole thing like
this? Yes, Joe. You respected vaccines

1262
00:22:18,910 --> 00:22:18,920
this? Yes, Joe. You respected vaccines
 

1263
00:22:18,920 --> 00:22:20,750
this? Yes, Joe. You respected vaccines
and then an avalanche of anti-vax

1264
00:22:20,750 --> 00:22:20,760
and then an avalanche of anti-vax
 

1265
00:22:20,760 --> 00:22:23,030
and then an avalanche of anti-vax
propaganda was stuffed down your throat.

1266
00:22:23,030 --> 00:22:23,040
propaganda was stuffed down your throat.
 

1267
00:22:23,040 --> 00:22:25,030
propaganda was stuffed down your throat.
You fell for all of it and now you're

1268
00:22:25,030 --> 00:22:25,040
You fell for all of it and now you're
 

1269
00:22:25,040 --> 00:22:27,470
You fell for all of it and now you're
the primary platform in the entire world

1270
00:22:27,470 --> 00:22:27,480
the primary platform in the entire world
 

1271
00:22:27,480 --> 00:22:29,350
the primary platform in the entire world
for enabling the continued transmission

1272
00:22:29,350 --> 00:22:29,360
for enabling the continued transmission
 

1273
00:22:29,360 --> 00:22:30,830
for enabling the continued transmission
of such propaganda to the general

1274
00:22:30,830 --> 00:22:30,840
of such propaganda to the general
 

1275
00:22:30,840 --> 00:22:33,510
of such propaganda to the general
public. Great work. Every other product

1276
00:22:33,510 --> 00:22:33,520
public. Great work. Every other product
 

1277
00:22:33,520 --> 00:22:35,990
public. Great work. Every other product
that exists,

1278
00:22:35,990 --> 00:22:36,000
that exists,
 

1279
00:22:36,000 --> 00:22:38,510
that exists,
I can sue the company. I can hold them

1280
00:22:38,510 --> 00:22:38,520
I can sue the company. I can hold them
 

1281
00:22:38,520 --> 00:22:40,510
I can sue the company. I can hold them
accountable

1282
00:22:40,510 --> 00:22:40,520
accountable
 

1283
00:22:40,520 --> 00:22:43,110
accountable
if that product injures or kills you or

1284
00:22:43,110 --> 00:22:43,120
if that product injures or kills you or
 

1285
00:22:43,120 --> 00:22:44,470
if that product injures or kills you or
your child

1286
00:22:44,470 --> 00:22:44,480
your child
 

1287
00:22:44,480 --> 00:22:45,630
your child
on the basis that product could have

1288
00:22:45,630 --> 00:22:45,640
on the basis that product could have
 

1289
00:22:45,640 --> 00:22:46,870
on the basis that product could have
been safer.

1290
00:22:46,870 --> 00:22:46,880
been safer.
 

1291
00:22:46,880 --> 00:22:48,910
been safer.
The only product, and I mean this

1292
00:22:48,910 --> 00:22:48,920
The only product, and I mean this
 

1293
00:22:48,920 --> 00:22:50,590
The only product, and I mean this
literally,

1294
00:22:50,590 --> 00:22:50,600
literally,
 

1295
00:22:50,600 --> 00:22:53,669
literally,
the only product in America

1296
00:22:53,669 --> 00:22:53,679
the only product in America
 

1297
00:22:53,679 --> 00:22:55,870
the only product in America
where you cannot sue

1298
00:22:55,870 --> 00:22:55,880
where you cannot sue
 

1299
00:22:55,880 --> 00:22:58,669
where you cannot sue
to say had you made that product safer,

1300
00:22:58,669 --> 00:22:58,679
to say had you made that product safer,
 

1301
00:22:58,679 --> 00:23:01,190
to say had you made that product safer,
my child wouldn't be dead. Vaccines

1302
00:23:01,190 --> 00:23:01,200
my child wouldn't be dead. Vaccines
 

1303
00:23:01,200 --> 00:23:03,030
my child wouldn't be dead. Vaccines
killed my child and I can't even sue

1304
00:23:03,030 --> 00:23:03,040
killed my child and I can't even sue
 

1305
00:23:03,040 --> 00:23:04,910
killed my child and I can't even sue
anybody. We already debunked this

1306
00:23:04,910 --> 00:23:04,920
anybody. We already debunked this
 

1307
00:23:04,920 --> 00:23:06,550
anybody. We already debunked this
classic talking point, so we don't need

1308
00:23:06,550 --> 00:23:06,560
classic talking point, so we don't need
 

1309
00:23:06,560 --> 00:23:08,830
classic talking point, so we don't need
to talk about it here. Rest assured, Joe

1310
00:23:08,830 --> 00:23:08,840
to talk about it here. Rest assured, Joe
 

1311
00:23:08,840 --> 00:23:10,590
to talk about it here. Rest assured, Joe
bought it hook, line, and sinker. But in

1312
00:23:10,590 --> 00:23:10,600
bought it hook, line, and sinker. But in
 

1313
00:23:10,600 --> 00:23:12,750
bought it hook, line, and sinker. But in
the instance of vaccines leading up to

1314
00:23:12,750 --> 00:23:12,760
the instance of vaccines leading up to
 

1315
00:23:12,760 --> 00:23:14,270
the instance of vaccines leading up to
1986,

1316
00:23:14,270 --> 00:23:14,280
1986,
 

1317
00:23:14,280 --> 00:23:16,790
1986,
there were only three routine vaccines.

1318
00:23:16,790 --> 00:23:16,800
there were only three routine vaccines.
 

1319
00:23:16,800 --> 00:23:18,950
there were only three routine vaccines.
That's it. That's all there was.

1320
00:23:18,950 --> 00:23:18,960
That's it. That's all there was.
 

1321
00:23:18,960 --> 00:23:20,910
That's it. That's all there was.
A child following the CDC schedule in

1322
00:23:20,910 --> 00:23:20,920
A child following the CDC schedule in
 

1323
00:23:20,920 --> 00:23:24,070
A child following the CDC schedule in
1986 got three injections on or before

1324
00:23:24,070 --> 00:23:24,080
1986 got three injections on or before
 

1325
00:23:24,080 --> 00:23:25,990
1986 got three injections on or before
their first birthday.

1326
00:23:25,990 --> 00:23:26,000
their first birthday.
 

1327
00:23:26,000 --> 00:23:27,470
their first birthday.
Okay?

1328
00:23:27,470 --> 00:23:27,480
Okay?
 

1329
00:23:27,480 --> 00:23:29,390
Okay?
Those three products

1330
00:23:29,390 --> 00:23:29,400
Those three products
 

1331
00:23:29,400 --> 00:23:32,830
Those three products
were causing so much harm and injury

1332
00:23:32,830 --> 00:23:32,840
were causing so much harm and injury
 

1333
00:23:32,840 --> 00:23:35,510
were causing so much harm and injury
that every manufacturer of them went out

1334
00:23:35,510 --> 00:23:35,520
that every manufacturer of them went out
 

1335
00:23:35,520 --> 00:23:36,710
that every manufacturer of them went out
of business. And that was the MMR

1336
00:23:36,710 --> 00:23:36,720
of business. And that was the MMR
 

1337
00:23:36,720 --> 00:23:38,830
of business. And that was the MMR
vaccine, the DTP, and the OPV vaccine.

1338
00:23:38,830 --> 00:23:38,840
vaccine, the DTP, and the OPV vaccine.
 

1339
00:23:38,840 --> 00:23:41,510
vaccine, the DTP, and the OPV vaccine.
No, they were not causing so much harm.

1340
00:23:41,510 --> 00:23:41,520
No, they were not causing so much harm.
 

1341
00:23:41,520 --> 00:23:43,430
No, they were not causing so much harm.
Claims regarding neurological damage

1342
00:23:43,430 --> 00:23:43,440
Claims regarding neurological damage
 

1343
00:23:43,440 --> 00:23:45,270
Claims regarding neurological damage
have been debunked. Claims connecting

1344
00:23:45,270 --> 00:23:45,280
have been debunked. Claims connecting
 

1345
00:23:45,280 --> 00:23:46,910
have been debunked. Claims connecting
the vaccines to sudden infant death

1346
00:23:46,910 --> 00:23:46,920
the vaccines to sudden infant death
 

1347
00:23:46,920 --> 00:23:48,870
the vaccines to sudden infant death
syndrome have been debunked. He's just

1348
00:23:48,870 --> 00:23:48,880
syndrome have been debunked. He's just
 

1349
00:23:48,880 --> 00:23:51,190
syndrome have been debunked. He's just
fearmongering. Three vaccines were so

1350
00:23:51,190 --> 00:23:51,200
fearmongering. Three vaccines were so
 

1351
00:23:51,200 --> 00:23:53,030
fearmongering. Three vaccines were so
super bad, so now that they get a

1352
00:23:53,030 --> 00:23:53,040
super bad, so now that they get a
 

1353
00:23:53,040 --> 00:23:55,750
super bad, so now that they get a
bazillion, it's even worse. The surge in

1354
00:23:55,750 --> 00:23:55,760
bazillion, it's even worse. The surge in
 

1355
00:23:55,760 --> 00:23:58,110
bazillion, it's even worse. The surge in
lawsuits, many or most baseless, was

1356
00:23:58,110 --> 00:23:58,120
lawsuits, many or most baseless, was
 

1357
00:23:58,120 --> 00:24:00,230
lawsuits, many or most baseless, was
destroying the vaccine industry and in

1358
00:24:00,230 --> 00:24:00,240
destroying the vaccine industry and in
 

1359
00:24:00,240 --> 00:24:02,510
destroying the vaccine industry and in
countries where DTP use plummeted due to

1360
00:24:02,510 --> 00:24:02,520
countries where DTP use plummeted due to
 

1361
00:24:02,520 --> 00:24:04,710
countries where DTP use plummeted due to
safety fears like the UK and Japan,

1362
00:24:04,710 --> 00:24:04,720
safety fears like the UK and Japan,
 

1363
00:24:04,720 --> 00:24:06,830
safety fears like the UK and Japan,
major pertussis outbreaks occurred,

1364
00:24:06,830 --> 00:24:06,840
major pertussis outbreaks occurred,
 

1365
00:24:06,840 --> 00:24:08,950
major pertussis outbreaks occurred,
which led to dozens of infant deaths.

1366
00:24:08,950 --> 00:24:08,960
which led to dozens of infant deaths.
 

1367
00:24:08,960 --> 00:24:10,990
which led to dozens of infant deaths.
All of this chaos is what brought about

1368
00:24:10,990 --> 00:24:11,000
All of this chaos is what brought about
 

1369
00:24:11,000 --> 00:24:13,750
All of this chaos is what brought about
the very sensible act he's vilifying and

1370
00:24:13,750 --> 00:24:13,760
the very sensible act he's vilifying and
 

1371
00:24:13,760 --> 00:24:15,750
the very sensible act he's vilifying and
also the compensation program he never

1372
00:24:15,750 --> 00:24:15,760
also the compensation program he never
 

1373
00:24:15,760 --> 00:24:18,470
also the compensation program he never
mentions. Wonder why? Instead of forcing

1374
00:24:18,470 --> 00:24:18,480
mentions. Wonder why? Instead of forcing
 

1375
00:24:18,480 --> 00:24:20,110
mentions. Wonder why? Instead of forcing
them to do what every other industry has

1376
00:24:20,110 --> 00:24:20,120
them to do what every other industry has
 

1377
00:24:20,120 --> 00:24:22,230
them to do what every other industry has
to do, like I said, make better building

1378
00:24:22,230 --> 00:24:22,240
to do, like I said, make better building
 

1379
00:24:22,240 --> 00:24:24,190
to do, like I said, make better building
materials without asbestos, make better

1380
00:24:24,190 --> 00:24:24,200
materials without asbestos, make better
 

1381
00:24:24,200 --> 00:24:26,510
materials without asbestos, make better
cars that don't explode, go down the

1382
00:24:26,510 --> 00:24:26,520
cars that don't explode, go down the
 

1383
00:24:26,520 --> 00:24:28,669
cars that don't explode, go down the
chain of different products out there.

1384
00:24:28,669 --> 00:24:28,679
chain of different products out there.
 

1385
00:24:28,679 --> 00:24:29,910
chain of different products out there.
Congress did something completely

1386
00:24:29,910 --> 00:24:29,920
Congress did something completely
 

1387
00:24:29,920 --> 00:24:31,030
Congress did something completely
unique.

1388
00:24:31,030 --> 00:24:31,040
unique.
 

1389
00:24:31,040 --> 00:24:33,590
unique.
It said, you know what?

1390
00:24:33,590 --> 00:24:33,600
It said, you know what?
 

1391
00:24:33,600 --> 00:24:35,070
It said, you know what?
We're just going to give you immunity.

1392
00:24:35,070 --> 00:24:35,080
We're just going to give you immunity.
 

1393
00:24:35,080 --> 00:24:37,750
We're just going to give you immunity.
Vaccines that work remarkably well and

1394
00:24:37,750 --> 00:24:37,760
Vaccines that work remarkably well and
 

1395
00:24:37,760 --> 00:24:40,710
Vaccines that work remarkably well and
save countless lives, yet also produce

1396
00:24:40,710 --> 00:24:40,720
save countless lives, yet also produce
 

1397
00:24:40,720 --> 00:24:42,790
save countless lives, yet also produce
very rare adverse events given the

1398
00:24:42,790 --> 00:24:42,800
very rare adverse events given the
 

1399
00:24:42,800 --> 00:24:44,830
very rare adverse events given the
sample pool of millions of people, are

1400
00:24:44,830 --> 00:24:44,840
sample pool of millions of people, are
 

1401
00:24:44,840 --> 00:24:47,430
sample pool of millions of people, are
not at all like asbestos or cars that

1402
00:24:47,430 --> 00:24:47,440
not at all like asbestos or cars that
 

1403
00:24:47,440 --> 00:24:49,590
not at all like asbestos or cars that
explode. This is a [\h__\h] insane

1404
00:24:49,590 --> 00:24:49,600
explode. This is a [\h__\h] insane
 

1405
00:24:49,600 --> 00:24:52,750
explode. This is a [\h__\h] insane
comparison. So going back to how we make

1406
00:24:52,750 --> 00:24:52,760
comparison. So going back to how we make
 

1407
00:24:52,760 --> 00:24:55,350
comparison. So going back to how we make
products safer in America or anywhere.

1408
00:24:55,350 --> 00:24:55,360
products safer in America or anywhere.
 

1409
00:24:55,360 --> 00:24:56,310
products safer in America or anywhere.
Okay?

1410
00:24:56,310 --> 00:24:56,320
Okay?
 

1411
00:24:56,320 --> 00:24:58,470
Okay?
It's not the government.

1412
00:24:58,470 --> 00:24:58,480
It's not the government.
 

1413
00:24:58,480 --> 00:25:00,710
It's not the government.
Governments don't make products safer.

1414
00:25:00,710 --> 00:25:00,720
Governments don't make products safer.
 

1415
00:25:00,720 --> 00:25:03,669
Governments don't make products safer.
Look at extremely authoritarian regimes

1416
00:25:03,669 --> 00:25:03,679
Look at extremely authoritarian regimes
 

1417
00:25:03,679 --> 00:25:05,710
Look at extremely authoritarian regimes
where there was very little free market

1418
00:25:05,710 --> 00:25:05,720
where there was very little free market
 

1419
00:25:05,720 --> 00:25:07,390
where there was very little free market
like the former USSR. You think products

1420
00:25:07,390 --> 00:25:07,400
like the former USSR. You think products
 

1421
00:25:07,400 --> 00:25:09,030
like the former USSR. You think products
were safe? No.

1422
00:25:09,030 --> 00:25:09,040
were safe? No.
 

1423
00:25:09,040 --> 00:25:10,710
were safe? No.
What makes products safe?

1424
00:25:10,710 --> 00:25:10,720
What makes products safe?
 

1425
00:25:10,720 --> 00:25:12,470
What makes products safe?
It's the economic self-interest of the

1426
00:25:12,470 --> 00:25:12,480
It's the economic self-interest of the
 

1427
00:25:12,480 --> 00:25:14,590
It's the economic self-interest of the
company. Yeah, the stupid government

1428
00:25:14,590 --> 00:25:14,600
company. Yeah, the stupid government
 

1429
00:25:14,600 --> 00:25:16,310
company. Yeah, the stupid government
can't make anything safe, so let's just

1430
00:25:16,310 --> 00:25:16,320
can't make anything safe, so let's just
 

1431
00:25:16,320 --> 00:25:18,630
can't make anything safe, so let's just
abolish the FDA completely and let the

1432
00:25:18,630 --> 00:25:18,640
abolish the FDA completely and let the
 

1433
00:25:18,640 --> 00:25:21,190
abolish the FDA completely and let the
unregulated private sector go hog wild.

1434
00:25:21,190 --> 00:25:21,200
unregulated private sector go hog wild.
 

1435
00:25:21,200 --> 00:25:22,910
unregulated private sector go hog wild.
Nobody ever died from drugs before the

1436
00:25:22,910 --> 00:25:22,920
Nobody ever died from drugs before the
 

1437
00:25:22,920 --> 00:25:25,470
Nobody ever died from drugs before the
FDA existed, right? What an [\h__\h]

1438
00:25:25,470 --> 00:25:25,480
FDA existed, right? What an [\h__\h]
 

1439
00:25:25,480 --> 00:25:29,830
FDA existed, right? What an [\h__\h]
>> For most childhood vaccines,

1440
00:25:29,830 --> 00:25:29,840

 

1441
00:25:29,840 --> 00:25:32,070

instead of years,

1442
00:25:32,070 --> 00:25:32,080
instead of years,
 

1443
00:25:32,080 --> 00:25:34,150
instead of years,
it's often days or weeks of safety

1444
00:25:34,150 --> 00:25:34,160
it's often days or weeks of safety
 

1445
00:25:34,160 --> 00:25:35,390
it's often days or weeks of safety
review in the clinical trial before they

1446
00:25:35,390 --> 00:25:35,400
review in the clinical trial before they
 

1447
00:25:35,400 --> 00:25:38,190
review in the clinical trial before they
allow them to license them.

1448
00:25:38,190 --> 00:25:38,200
allow them to license them.
 

1449
00:25:38,200 --> 00:25:42,110
allow them to license them.
Not a single, and I know that

1450
00:25:42,110 --> 00:25:42,120
Not a single, and I know that
 

1451
00:25:42,120 --> 00:25:43,750
Not a single, and I know that
folks contest this all the time, but

1452
00:25:43,750 --> 00:25:43,760
folks contest this all the time, but
 

1453
00:25:43,760 --> 00:25:46,070
folks contest this all the time, but
it's in the FDA literature.

1454
00:25:46,070 --> 00:25:46,080
it's in the FDA literature.
 

1455
00:25:46,080 --> 00:25:48,790
it's in the FDA literature.
Not a single routine injected childhood

1456
00:25:48,790 --> 00:25:48,800
Not a single routine injected childhood
 

1457
00:25:48,800 --> 00:25:50,190
Not a single routine injected childhood
vaccine

1458
00:25:50,190 --> 00:25:50,200
vaccine
 

1459
00:25:50,200 --> 00:25:51,830
vaccine
was licensed

1460
00:25:51,830 --> 00:25:51,840
was licensed
 

1461
00:25:51,840 --> 00:25:54,270
was licensed
based on a placebo control trial save

1462
00:25:54,270 --> 00:25:54,280
based on a placebo control trial save
 

1463
00:25:54,280 --> 00:25:55,550
based on a placebo control trial save
for the COVID vaccine by the way for

1464
00:25:55,550 --> 00:25:55,560
for the COVID vaccine by the way for
 

1465
00:25:55,560 --> 00:25:57,110
for the COVID vaccine by the way for
children. It's the only one. Yeah,

1466
00:25:57,110 --> 00:25:57,120
children. It's the only one. Yeah,
 

1467
00:25:57,120 --> 00:25:58,910
children. It's the only one. Yeah,
people contest this all the time because

1468
00:25:58,910 --> 00:25:58,920
people contest this all the time because
 

1469
00:25:58,920 --> 00:26:00,830
people contest this all the time because
you're lying. You lied in your Senate

1470
00:26:00,830 --> 00:26:00,840
you're lying. You lied in your Senate
 

1471
00:26:00,840 --> 00:26:02,510
you're lying. You lied in your Senate
hearing and you're lying to Joe.

1472
00:26:02,510 --> 00:26:02,520
hearing and you're lying to Joe.
 

1473
00:26:02,520 --> 00:26:04,430
hearing and you're lying to Joe.
Vaccines are rigorously tested for

1474
00:26:04,430 --> 00:26:04,440
Vaccines are rigorously tested for
 

1475
00:26:04,440 --> 00:26:06,270
Vaccines are rigorously tested for
safety through three phases of clinical

1476
00:26:06,270 --> 00:26:06,280
safety through three phases of clinical
 

1477
00:26:06,280 --> 00:26:09,110
safety through three phases of clinical
trials. Many are tested against a saline

1478
00:26:09,110 --> 00:26:09,120
trials. Many are tested against a saline
 

1479
00:26:09,120 --> 00:26:11,190
trials. Many are tested against a saline
placebo and that isn't necessary in the

1480
00:26:11,190 --> 00:26:11,200
placebo and that isn't necessary in the
 

1481
00:26:11,200 --> 00:26:12,870
placebo and that isn't necessary in the
first place to establish the safety of

1482
00:26:12,870 --> 00:26:12,880
first place to establish the safety of
 

1483
00:26:12,880 --> 00:26:15,310
first place to establish the safety of
the vaccine. He is skirting past very

1484
00:26:15,310 --> 00:26:15,320
the vaccine. He is skirting past very
 

1485
00:26:15,320 --> 00:26:16,910
the vaccine. He is skirting past very
obvious scientific principles that he

1486
00:26:16,910 --> 00:26:16,920
obvious scientific principles that he
 

1487
00:26:16,920 --> 00:26:18,990
obvious scientific principles that he
doesn't understand as well as ethical

1488
00:26:18,990 --> 00:26:19,000
doesn't understand as well as ethical
 

1489
00:26:19,000 --> 00:26:20,750
doesn't understand as well as ethical
concerns regarding not vaccinating

1490
00:26:20,750 --> 00:26:20,760
concerns regarding not vaccinating
 

1491
00:26:20,760 --> 00:26:22,710
concerns regarding not vaccinating
vulnerable people. No need to explain

1492
00:26:22,710 --> 00:26:22,720
vulnerable people. No need to explain
 

1493
00:26:22,720 --> 00:26:24,390
vulnerable people. No need to explain
all this a second time. You're talking

1494
00:26:24,390 --> 00:26:24,400
all this a second time. You're talking
 

1495
00:26:24,400 --> 00:26:25,990
all this a second time. You're talking
about these companies that have been

1496
00:26:25,990 --> 00:26:26,000
about these companies that have been
 

1497
00:26:26,000 --> 00:26:29,230
about these companies that have been
fined billions, billions of dollars in

1498
00:26:29,230 --> 00:26:29,240
fined billions, billions of dollars in
 

1499
00:26:29,240 --> 00:26:31,510
fined billions, billions of dollars in
criminal fines for fraud, for all kinds

1500
00:26:31,510 --> 00:26:31,520
criminal fines for fraud, for all kinds
 

1501
00:26:31,520 --> 00:26:33,950
criminal fines for fraud, for all kinds
of [\h__\h] These are the people. And the

1502
00:26:33,950 --> 00:26:33,960
of [\h__\h] These are the people. And the
 

1503
00:26:33,960 --> 00:26:35,790
of [\h__\h] These are the people. And the
the idea that they wouldn't lie about

1504
00:26:35,790 --> 00:26:35,800
the idea that they wouldn't lie about
 

1505
00:26:35,800 --> 00:26:37,669
the idea that they wouldn't lie about
vaccines. Like this is the one thing

1506
00:26:37,669 --> 00:26:37,679
vaccines. Like this is the one thing
 

1507
00:26:37,679 --> 00:26:38,830
vaccines. Like this is the one thing
they're going to tell you the truth.

1508
00:26:38,830 --> 00:26:38,840
they're going to tell you the truth.
 

1509
00:26:38,840 --> 00:26:41,070
they're going to tell you the truth.
Ruthless capitalist attached to money

1510
00:26:41,070 --> 00:26:41,080
Ruthless capitalist attached to money
 

1511
00:26:41,080 --> 00:26:43,669
Ruthless capitalist attached to money
and drugs. This is the one thing they're

1512
00:26:43,669 --> 00:26:43,679
and drugs. This is the one thing they're
 

1513
00:26:43,679 --> 00:26:45,630
and drugs. This is the one thing they're
going to 100% tell you the truth about.

1514
00:26:45,630 --> 00:26:45,640
going to 100% tell you the truth about.
 

1515
00:26:45,640 --> 00:26:47,790
going to 100% tell you the truth about.
That seems kind of kooky. That's a

1516
00:26:47,790 --> 00:26:47,800
That seems kind of kooky. That's a
 

1517
00:26:47,800 --> 00:26:49,990
That seems kind of kooky. That's a
that's a that's a hard sell for anybody

1518
00:26:49,990 --> 00:26:50,000
that's a that's a hard sell for anybody
 

1519
00:26:50,000 --> 00:26:52,510
that's a that's a hard sell for anybody
who's not ideologically captured. That's

1520
00:26:52,510 --> 00:26:52,520
who's not ideologically captured. That's
 

1521
00:26:52,520 --> 00:26:55,310
who's not ideologically captured. That's
a hard sell. Evil company lie and sell

1522
00:26:55,310 --> 00:26:55,320
a hard sell. Evil company lie and sell
 

1523
00:26:55,320 --> 00:26:57,350
a hard sell. Evil company lie and sell
the poison. It's a very easy narrative

1524
00:26:57,350 --> 00:26:57,360
the poison. It's a very easy narrative
 

1525
00:26:57,360 --> 00:26:59,790
the poison. It's a very easy narrative
to sell, but it's just infantile.

1526
00:26:59,790 --> 00:26:59,800
to sell, but it's just infantile.
 

1527
00:26:59,800 --> 00:27:01,669
to sell, but it's just infantile.
Vaccine clinical trials are not run in

1528
00:27:01,669 --> 00:27:01,679
Vaccine clinical trials are not run in
 

1529
00:27:01,679 --> 00:27:03,910
Vaccine clinical trials are not run in
some secret pharma bunker where nobody

1530
00:27:03,910 --> 00:27:03,920
some secret pharma bunker where nobody
 

1531
00:27:03,920 --> 00:27:05,710
some secret pharma bunker where nobody
can watch them do their evil pharma

1532
00:27:05,710 --> 00:27:05,720
can watch them do their evil pharma
 

1533
00:27:05,720 --> 00:27:08,030
can watch them do their evil pharma
things. They are designed and conducted

1534
00:27:08,030 --> 00:27:08,040
things. They are designed and conducted
 

1535
00:27:08,040 --> 00:27:10,190
things. They are designed and conducted
by academic research institutions and

1536
00:27:10,190 --> 00:27:10,200
by academic research institutions and
 

1537
00:27:10,200 --> 00:27:12,710
by academic research institutions and
government agencies like the NIH. They

1538
00:27:12,710 --> 00:27:12,720
government agencies like the NIH. They
 

1539
00:27:12,720 --> 00:27:14,750
government agencies like the NIH. They
oversee studies to ensure that they go

1540
00:27:14,750 --> 00:27:14,760
oversee studies to ensure that they go
 

1541
00:27:14,760 --> 00:27:17,190
oversee studies to ensure that they go
according to protocol. The FDA evaluates

1542
00:27:17,190 --> 00:27:17,200
according to protocol. The FDA evaluates
 

1543
00:27:17,200 --> 00:27:18,430
according to protocol. The FDA evaluates
all the data before approving the

1544
00:27:18,430 --> 00:27:18,440
all the data before approving the
 

1545
00:27:18,440 --> 00:27:20,830
all the data before approving the
vaccine and CDC monitors everything

1546
00:27:20,830 --> 00:27:20,840
vaccine and CDC monitors everything
 

1547
00:27:20,840 --> 00:27:23,190
vaccine and CDC monitors everything
closely post-licensure. All people like

1548
00:27:23,190 --> 00:27:23,200
closely post-licensure. All people like
 

1549
00:27:23,200 --> 00:27:25,550
closely post-licensure. All people like
Joe can do is go, "One time a pharma

1550
00:27:25,550 --> 00:27:25,560
Joe can do is go, "One time a pharma
 

1551
00:27:25,560 --> 00:27:27,510
Joe can do is go, "One time a pharma
company did this bad thing, therefore

1552
00:27:27,510 --> 00:27:27,520
company did this bad thing, therefore
 

1553
00:27:27,520 --> 00:27:29,390
company did this bad thing, therefore
everything all of pharma does ever must

1554
00:27:29,390 --> 00:27:29,400
everything all of pharma does ever must
 

1555
00:27:29,400 --> 00:27:31,830
everything all of pharma does ever must
be evil poison money scheme." It's such

1556
00:27:31,830 --> 00:27:31,840
be evil poison money scheme." It's such
 

1557
00:27:31,840 --> 00:27:34,150
be evil poison money scheme." It's such
toddler mentality. In reality, it's

1558
00:27:34,150 --> 00:27:34,160
toddler mentality. In reality, it's
 

1559
00:27:34,160 --> 00:27:36,310
toddler mentality. In reality, it's
possible to identify isolated

1560
00:27:36,310 --> 00:27:36,320
possible to identify isolated
 

1561
00:27:36,320 --> 00:27:38,550
possible to identify isolated
occurrences of oversight or malfeasance,

1562
00:27:38,550 --> 00:27:38,560
occurrences of oversight or malfeasance,
 

1563
00:27:38,560 --> 00:27:40,710
occurrences of oversight or malfeasance,
which are present in any large industry

1564
00:27:40,710 --> 00:27:40,720
which are present in any large industry
 

1565
00:27:40,720 --> 00:27:42,710
which are present in any large industry
and honestly are often mischaracterized

1566
00:27:42,710 --> 00:27:42,720
and honestly are often mischaracterized
 

1567
00:27:42,720 --> 00:27:44,669
and honestly are often mischaracterized
or exaggerated in the case of pharma,

1568
00:27:44,669 --> 00:27:44,679
or exaggerated in the case of pharma,
 

1569
00:27:44,679 --> 00:27:46,510
or exaggerated in the case of pharma,
and understand that even when they are

1570
00:27:46,510 --> 00:27:46,520
and understand that even when they are
 

1571
00:27:46,520 --> 00:27:48,270
and understand that even when they are
valid concerns or examples of

1572
00:27:48,270 --> 00:27:48,280
valid concerns or examples of
 

1573
00:27:48,280 --> 00:27:49,950
valid concerns or examples of
corruption, they are simply an

1574
00:27:49,950 --> 00:27:49,960
corruption, they are simply an
 

1575
00:27:49,960 --> 00:27:52,070
corruption, they are simply an
indictment of those particular people,

1576
00:27:52,070 --> 00:27:52,080
indictment of those particular people,
 

1577
00:27:52,080 --> 00:27:54,350
indictment of those particular people,
not the entire industry. I don't know

1578
00:27:54,350 --> 00:27:54,360
not the entire industry. I don't know
 

1579
00:27:54,360 --> 00:27:55,870
not the entire industry. I don't know
how we're going to rehabilitate the

1580
00:27:55,870 --> 00:27:55,880
how we're going to rehabilitate the
 

1581
00:27:55,880 --> 00:27:58,270
how we're going to rehabilitate the
public from a knee-jerk acceptance of

1582
00:27:58,270 --> 00:27:58,280
public from a knee-jerk acceptance of
 

1583
00:27:58,280 --> 00:27:59,870
public from a knee-jerk acceptance of
any narrative that cartoonishly

1584
00:27:59,870 --> 00:27:59,880
any narrative that cartoonishly
 

1585
00:27:59,880 --> 00:28:01,870
any narrative that cartoonishly
villainizes the pharmaceutical industry,

1586
00:28:01,870 --> 00:28:01,880
villainizes the pharmaceutical industry,
 

1587
00:28:01,880 --> 00:28:03,190
villainizes the pharmaceutical industry,
but we need to figure that out

1588
00:28:03,190 --> 00:28:03,200
but we need to figure that out
 

1589
00:28:03,200 --> 00:28:05,870
but we need to figure that out
posthaste. Go back to vaccines. Think

1590
00:28:05,870 --> 00:28:05,880
posthaste. Go back to vaccines. Think
 

1591
00:28:05,880 --> 00:28:09,630
posthaste. Go back to vaccines. Think
about how incredibly harmful

1592
00:28:09,630 --> 00:28:09,640
about how incredibly harmful
 

1593
00:28:09,640 --> 00:28:13,110
about how incredibly harmful
and how much harm these vaccines must do

1594
00:28:13,110 --> 00:28:13,120
and how much harm these vaccines must do
 

1595
00:28:13,120 --> 00:28:16,310
and how much harm these vaccines must do
that they cannot survive on the market

1596
00:28:16,310 --> 00:28:16,320
that they cannot survive on the market
 

1597
00:28:16,320 --> 00:28:18,110
that they cannot survive on the market
without this immunity

1598
00:28:18,110 --> 00:28:18,120
without this immunity
 

1599
00:28:18,120 --> 00:28:19,870
without this immunity
from 1986. Think about that.

1600
00:28:19,870 --> 00:28:19,880
from 1986. Think about that.
 

1601
00:28:19,880 --> 00:28:21,390
from 1986. Think about that.
>> If you're going to steelman the argument

1602
00:28:21,390 --> 00:28:21,400
>> If you're going to steelman the argument
 

1603
00:28:21,400 --> 00:28:23,909
>> If you're going to steelman the argument
against that, yes. Wouldn't you say,

1604
00:28:23,909 --> 00:28:23,919
against that, yes. Wouldn't you say,
 

1605
00:28:23,919 --> 00:28:27,230
against that, yes. Wouldn't you say,
"Look, these are we can't have frivolous

1606
00:28:27,230 --> 00:28:27,240
"Look, these are we can't have frivolous
 

1607
00:28:27,240 --> 00:28:29,550
"Look, these are we can't have frivolous
lawsuits against these people that are

1608
00:28:29,550 --> 00:28:29,560
lawsuits against these people that are
 

1609
00:28:29,560 --> 00:28:31,149
lawsuits against these people that are
providing us the most important

1610
00:28:31,149 --> 00:28:31,159
providing us the most important
 

1611
00:28:31,159 --> 00:28:33,669
providing us the most important
medication that's available to humans.

1612
00:28:33,669 --> 00:28:33,679
medication that's available to humans.
 

1613
00:28:33,679 --> 00:28:35,550
medication that's available to humans.
The the whole reason why we survived

1614
00:28:35,550 --> 00:28:35,560
The the whole reason why we survived
 

1615
00:28:35,560 --> 00:28:37,870
The the whole reason why we survived
smallpox and polio and all these

1616
00:28:37,870 --> 00:28:37,880
smallpox and polio and all these
 

1617
00:28:37,880 --> 00:28:39,830
smallpox and polio and all these
different things, it's these vaccines.

1618
00:28:39,830 --> 00:28:39,840
different things, it's these vaccines.
 

1619
00:28:39,840 --> 00:28:41,270
different things, it's these vaccines.
Without them, we'd all be dead." This

1620
00:28:41,270 --> 00:28:41,280
Without them, we'd all be dead." This
 

1621
00:28:41,280 --> 00:28:43,350
Without them, we'd all be dead." This
episode is brought to you by Montana

1622
00:28:43,350 --> 00:28:43,360
episode is brought to you by Montana
 

1623
00:28:43,360 --> 00:28:45,270
episode is brought to you by Montana
Knife Company. I have used their knives

1624
00:28:45,270 --> 00:28:45,280
Knife Company. I have used their knives
 

1625
00:28:45,280 --> 00:28:47,149
Knife Company. I have used their knives
for years. They are absolutely

1626
00:28:47,149 --> 00:28:47,159
for years. They are absolutely
 

1627
00:28:47,159 --> 00:28:49,909
for years. They are absolutely
fantastic. Joe says a smart thing which

1628
00:28:49,909 --> 00:28:49,919
fantastic. Joe says a smart thing which
 

1629
00:28:49,919 --> 00:28:52,070
fantastic. Joe says a smart thing which
should end this entire conversation and

1630
00:28:52,070 --> 00:28:52,080
should end this entire conversation and
 

1631
00:28:52,080 --> 00:28:54,149
should end this entire conversation and
then cut straight to an ad. How fitting.

1632
00:28:54,149 --> 00:28:54,159
then cut straight to an ad. How fitting.
 

1633
00:28:54,159 --> 00:28:55,669
then cut straight to an ad. How fitting.
Let's just assume that the last part of

1634
00:28:55,669 --> 00:28:55,679
Let's just assume that the last part of
 

1635
00:28:55,679 --> 00:28:56,830
Let's just assume that the last part of
what you said is true, which we know

1636
00:28:56,830 --> 00:28:56,840
what you said is true, which we know
 

1637
00:28:56,840 --> 00:28:59,470
what you said is true, which we know
it's not. But with that said,

1638
00:28:59,470 --> 00:28:59,480
it's not. But with that said,
 

1639
00:28:59,480 --> 00:29:00,870
it's not. But with that said,
let's steelman it.

1640
00:29:00,870 --> 00:29:00,880
let's steelman it.
 

1641
00:29:00,880 --> 00:29:04,275
let's steelman it.
>> Yeah. Easy response. Okay? Okay.

1642
00:29:04,275 --> 00:29:04,285
>> Yeah. Easy response. Okay? Okay.
 

1643
00:29:04,285 --> 00:29:06,110
>> Yeah. Easy response. Okay? Okay.
>> [clears throat]

1644
00:29:06,110 --> 00:29:06,120
>> [clears throat]
 

1645
00:29:06,120 --> 00:29:07,830
>> [clears throat]
>> Drugs,

1646
00:29:07,830 --> 00:29:07,840
>> Drugs,
 

1647
00:29:07,840 --> 00:29:09,149
>> Drugs,
drugs

1648
00:29:09,149 --> 00:29:09,159
drugs
 

1649
00:29:09,159 --> 00:29:11,430
drugs
that are for very small populations,

1650
00:29:11,430 --> 00:29:11,440
that are for very small populations,
 

1651
00:29:11,440 --> 00:29:13,070
that are for very small populations,
meaning not a lot of market, not a lot

1652
00:29:13,070 --> 00:29:13,080
meaning not a lot of market, not a lot
 

1653
00:29:13,080 --> 00:29:14,310
meaning not a lot of market, not a lot
of sales,

1654
00:29:14,310 --> 00:29:14,320
of sales,
 

1655
00:29:14,320 --> 00:29:16,750
of sales,
that cause incredible side effects,

1656
00:29:16,750 --> 00:29:16,760
that cause incredible side effects,
 

1657
00:29:16,760 --> 00:29:18,830
that cause incredible side effects,
can survive on the market profitably.

1658
00:29:18,830 --> 00:29:18,840
can survive on the market profitably.
 

1659
00:29:18,840 --> 00:29:20,950
can survive on the market profitably.
Think about that for a second. The last

1660
00:29:20,950 --> 00:29:20,960
Think about that for a second. The last
 

1661
00:29:20,960 --> 00:29:23,669
Think about that for a second. The last
part isn't true. Vaccines haven't saved

1662
00:29:23,669 --> 00:29:23,679
part isn't true. Vaccines haven't saved
 

1663
00:29:23,679 --> 00:29:25,510
part isn't true. Vaccines haven't saved
countless lives. Have you ever had

1664
00:29:25,510 --> 00:29:25,520
countless lives. Have you ever had
 

1665
00:29:25,520 --> 00:29:28,510
countless lives. Have you ever had
smallpox or polio, Aaron? No? Then what

1666
00:29:28,510 --> 00:29:28,520
smallpox or polio, Aaron? No? Then what
 

1667
00:29:28,520 --> 00:29:30,390
smallpox or polio, Aaron? No? Then what
the [\h__\h] are you smirking about? While

1668
00:29:30,390 --> 00:29:30,400
the [\h__\h] are you smirking about? While
 

1669
00:29:30,400 --> 00:29:33,110
the [\h__\h] are you smirking about? While
Joe is cosplaying as a smart person, he

1670
00:29:33,110 --> 00:29:33,120
Joe is cosplaying as a smart person, he
 

1671
00:29:33,120 --> 00:29:34,590
Joe is cosplaying as a smart person, he
said that we can't have frivolous

1672
00:29:34,590 --> 00:29:34,600
said that we can't have frivolous
 

1673
00:29:34,600 --> 00:29:36,390
said that we can't have frivolous
lawsuits from one in a million people

1674
00:29:36,390 --> 00:29:36,400
lawsuits from one in a million people
 

1675
00:29:36,400 --> 00:29:38,590
lawsuits from one in a million people
who take an extremely safe vaccine

1676
00:29:38,590 --> 00:29:38,600
who take an extremely safe vaccine
 

1677
00:29:38,600 --> 00:29:41,310
who take an extremely safe vaccine
derailing all vaccine production. Stop

1678
00:29:41,310 --> 00:29:41,320
derailing all vaccine production. Stop
 

1679
00:29:41,320 --> 00:29:43,110
derailing all vaccine production. Stop
rambling and get to the point, champ.

1680
00:29:43,110 --> 00:29:43,120
rambling and get to the point, champ.
 

1681
00:29:43,120 --> 00:29:44,790
rambling and get to the point, champ.
>> And that is how companies typically

1682
00:29:44,790 --> 00:29:44,800
>> And that is how companies typically
 

1683
00:29:44,800 --> 00:29:46,190
>> And that is how companies typically
limit their liability with medical

1684
00:29:46,190 --> 00:29:46,200
limit their liability with medical
 

1685
00:29:46,200 --> 00:29:48,150
limit their liability with medical
products, with drug products,

1686
00:29:48,150 --> 00:29:48,160
products, with drug products,
 

1687
00:29:48,160 --> 00:29:49,950
products, with drug products,
Why can't they do that with vaccines?

1688
00:29:49,950 --> 00:29:49,960
Why can't they do that with vaccines?
 

1689
00:29:49,960 --> 00:29:51,550
Why can't they do that with vaccines?
Why can't they just make them as safe as

1690
00:29:51,550 --> 00:29:51,560
Why can't they just make them as safe as
 

1691
00:29:51,560 --> 00:29:53,630
Why can't they just make them as safe as
technologically feasible, can't sue them

1692
00:29:53,630 --> 00:29:53,640
technologically feasible, can't sue them
 

1693
00:29:53,640 --> 00:29:55,790
technologically feasible, can't sue them
for design defect, and disclose all the

1694
00:29:55,790 --> 00:29:55,800
for design defect, and disclose all the
 

1695
00:29:55,800 --> 00:29:58,150
for design defect, and disclose all the
actual risks in the package insert? They

1696
00:29:58,150 --> 00:29:58,160
actual risks in the package insert? They
 

1697
00:29:58,160 --> 00:30:00,870
actual risks in the package insert? They
do that. They are made to be as safe as

1698
00:30:00,870 --> 00:30:00,880
do that. They are made to be as safe as
 

1699
00:30:00,880 --> 00:30:03,310
do that. They are made to be as safe as
possible. That's why adverse events are

1700
00:30:03,310 --> 00:30:03,320
possible. That's why adverse events are
 

1701
00:30:03,320 --> 00:30:05,590
possible. That's why adverse events are
exceedingly rare. And these adverse

1702
00:30:05,590 --> 00:30:05,600
exceedingly rare. And these adverse
 

1703
00:30:05,600 --> 00:30:07,350
exceedingly rare. And these adverse
events are not a secret, and any health

1704
00:30:07,350 --> 00:30:07,360
events are not a secret, and any health
 

1705
00:30:07,360 --> 00:30:08,830
events are not a secret, and any health
professional can tell you all about

1706
00:30:08,830 --> 00:30:08,840
professional can tell you all about
 

1707
00:30:08,840 --> 00:30:10,070
professional can tell you all about
them. So, I don't know what the [\h__\h]

1708
00:30:10,070 --> 00:30:10,080
them. So, I don't know what the [\h__\h]
 

1709
00:30:10,080 --> 00:30:12,150
them. So, I don't know what the [\h__\h]
you're talking about. It's been 40 years

1710
00:30:12,150 --> 00:30:12,160
you're talking about. It's been 40 years
 

1711
00:30:12,160 --> 00:30:13,910
you're talking about. It's been 40 years
for some of these vaccines. Hep B

1712
00:30:13,910 --> 00:30:13,920
for some of these vaccines. Hep B
 

1713
00:30:13,920 --> 00:30:15,750
for some of these vaccines. Hep B
vaccine, for example, licensed in '86

1714
00:30:15,750 --> 00:30:15,760
vaccine, for example, licensed in '86
 

1715
00:30:15,760 --> 00:30:17,750
vaccine, for example, licensed in '86
and '89, the two stand-alones.

1716
00:30:17,750 --> 00:30:17,760
and '89, the two stand-alones.
 

1717
00:30:17,760 --> 00:30:18,990
and '89, the two stand-alones.
It's been 40 years. You telling me they

1718
00:30:18,990 --> 00:30:19,000
It's been 40 years. You telling me they
 

1719
00:30:19,000 --> 00:30:20,070
It's been 40 years. You telling me they
still don't know it's safe enough to

1720
00:30:20,070 --> 00:30:20,080
still don't know it's safe enough to
 

1721
00:30:20,080 --> 00:30:21,670
still don't know it's safe enough to
lift that immunity? You're giving it to

1722
00:30:21,670 --> 00:30:21,680
lift that immunity? You're giving it to
 

1723
00:30:21,680 --> 00:30:23,270
lift that immunity? You're giving it to
millions of kids a year. You're making

1724
00:30:23,270 --> 00:30:23,280
millions of kids a year. You're making
 

1725
00:30:23,280 --> 00:30:25,030
millions of kids a year. You're making
billions of dollars on the sales of this

1726
00:30:25,030 --> 00:30:25,040
billions of dollars on the sales of this
 

1727
00:30:25,040 --> 00:30:26,790
billions of dollars on the sales of this
product, and you still don't know it's

1728
00:30:26,790 --> 00:30:26,800
product, and you still don't know it's
 

1729
00:30:26,800 --> 00:30:28,710
product, and you still don't know it's
safe enough to lift that immunity,

1730
00:30:28,710 --> 00:30:28,720
safe enough to lift that immunity,
 

1731
00:30:28,720 --> 00:30:31,030
safe enough to lift that immunity,
please. The immunity isn't there because

1732
00:30:31,030 --> 00:30:31,040
please. The immunity isn't there because
 

1733
00:30:31,040 --> 00:30:33,550
please. The immunity isn't there because
vaccines aren't safe, you [\h__\h] tool.

1734
00:30:33,550 --> 00:30:33,560
vaccines aren't safe, you [\h__\h] tool.
 

1735
00:30:33,560 --> 00:30:35,710
vaccines aren't safe, you [\h__\h] tool.
They are extremely safe. But when you

1736
00:30:35,710 --> 00:30:35,720
They are extremely safe. But when you
 

1737
00:30:35,720 --> 00:30:38,510
They are extremely safe. But when you
give them to millions of people, one or

1738
00:30:38,510 --> 00:30:38,520
give them to millions of people, one or
 

1739
00:30:38,520 --> 00:30:40,870
give them to millions of people, one or
two extreme adverse events might happen,

1740
00:30:40,870 --> 00:30:40,880
two extreme adverse events might happen,
 

1741
00:30:40,880 --> 00:30:43,150
two extreme adverse events might happen,
which could yield enormous lawsuits that

1742
00:30:43,150 --> 00:30:43,160
which could yield enormous lawsuits that
 

1743
00:30:43,160 --> 00:30:45,310
which could yield enormous lawsuits that
would bankrupt any company and result in

1744
00:30:45,310 --> 00:30:45,320
would bankrupt any company and result in
 

1745
00:30:45,320 --> 00:30:47,350
would bankrupt any company and result in
vaccines not getting produced anymore.

1746
00:30:47,350 --> 00:30:47,360
vaccines not getting produced anymore.
 

1747
00:30:47,360 --> 00:30:50,070
vaccines not getting produced anymore.
That's the [\h__\h] point of the act and

1748
00:30:50,070 --> 00:30:50,080
That's the [\h__\h] point of the act and
 

1749
00:30:50,080 --> 00:30:52,310
That's the [\h__\h] point of the act and
the accompanying compensation program.

1750
00:30:52,310 --> 00:30:52,320
the accompanying compensation program.
 

1751
00:30:52,320 --> 00:30:54,750
the accompanying compensation program.
The act does not mean that vaccines

1752
00:30:54,750 --> 00:30:54,760
The act does not mean that vaccines
 

1753
00:30:54,760 --> 00:30:57,910
The act does not mean that vaccines
aren't safe. The hep B vaccine is safe.

1754
00:30:57,910 --> 00:30:57,920
aren't safe. The hep B vaccine is safe.
 

1755
00:30:57,920 --> 00:30:59,790
aren't safe. The hep B vaccine is safe.
For example, measles, the dreaded

1756
00:30:59,790 --> 00:30:59,800
For example, measles, the dreaded
 

1757
00:30:59,800 --> 00:31:02,070
For example, measles, the dreaded
measles that they say everybody will die

1758
00:31:02,070 --> 00:31:02,080
measles that they say everybody will die
 

1759
00:31:02,080 --> 00:31:03,270
measles that they say everybody will die
from.

1760
00:31:03,270 --> 00:31:03,280
from.
 

1761
00:31:03,280 --> 00:31:04,270
from.
No measles vaccine, we're all going to

1762
00:31:04,270 --> 00:31:04,280
No measles vaccine, we're all going to
 

1763
00:31:04,280 --> 00:31:06,270
No measles vaccine, we're all going to
die, right? That is the impression they

1764
00:31:06,270 --> 00:31:06,280
die, right? That is the impression they
 

1765
00:31:06,280 --> 00:31:07,470
die, right? That is the impression they
give you.

1766
00:31:07,470 --> 00:31:07,480
give you.
 

1767
00:31:07,480 --> 00:31:08,590
give you.
You have any idea how many people died

1768
00:31:08,590 --> 00:31:08,600
You have any idea how many people died
 

1769
00:31:08,600 --> 00:31:10,150
You have any idea how many people died
of measles in the years before there was

1770
00:31:10,150 --> 00:31:10,160
of measles in the years before there was
 

1771
00:31:10,160 --> 00:31:11,430
of measles in the years before there was
measles vaccine in the United States?

1772
00:31:11,430 --> 00:31:11,440
measles vaccine in the United States?
 

1773
00:31:11,440 --> 00:31:12,950
measles vaccine in the United States?
>> How many?

1774
00:31:12,950 --> 00:31:12,960
>> How many?
 

1775
00:31:12,960 --> 00:31:14,510
>> How many?
About 400 a year.

1776
00:31:14,510 --> 00:31:14,520
About 400 a year.
 

1777
00:31:14,520 --> 00:31:17,110
About 400 a year.
That's it. That's it. 400 a year dying

1778
00:31:17,110 --> 00:31:17,120
That's it. That's it. 400 a year dying
 

1779
00:31:17,120 --> 00:31:18,910
That's it. That's it. 400 a year dying
in the United States at a time when

1780
00:31:18,910 --> 00:31:18,920
in the United States at a time when
 

1781
00:31:18,920 --> 00:31:21,190
in the United States at a time when
everybody had measles, which comes out

1782
00:31:21,190 --> 00:31:21,200
everybody had measles, which comes out
 

1783
00:31:21,200 --> 00:31:23,430
everybody had measles, which comes out
to about 1 in 450,000

1784
00:31:23,430 --> 00:31:23,440
to about 1 in 450,000
 

1785
00:31:23,440 --> 00:31:25,350
to about 1 in 450,000
Americans dying of measles. That's in

1786
00:31:25,350 --> 00:31:25,360
Americans dying of measles. That's in
 

1787
00:31:25,360 --> 00:31:26,830
Americans dying of measles. That's in
the CDC. Anybody who's listening to this

1788
00:31:26,830 --> 00:31:26,840
the CDC. Anybody who's listening to this
 

1789
00:31:26,840 --> 00:31:28,390
the CDC. Anybody who's listening to this
who's like, "Come on, that's not true."

1790
00:31:28,390 --> 00:31:28,400
who's like, "Come on, that's not true."
 

1791
00:31:28,400 --> 00:31:30,830
who's like, "Come on, that's not true."
CDC mortality documents on the CDC

1792
00:31:30,830 --> 00:31:30,840
CDC mortality documents on the CDC
 

1793
00:31:30,840 --> 00:31:33,750
CDC mortality documents on the CDC
website, cited in my book. 400. Okay,

1794
00:31:33,750 --> 00:31:33,760
website, cited in my book. 400. Okay,
 

1795
00:31:33,760 --> 00:31:35,390
website, cited in my book. 400. Okay,
it's time for a bunch of [\h__\h] about

1796
00:31:35,390 --> 00:31:35,400
it's time for a bunch of [\h__\h] about
 

1797
00:31:35,400 --> 00:31:37,790
it's time for a bunch of [\h__\h] about
measles. Aaron is citing 400 deaths per

1798
00:31:37,790 --> 00:31:37,800
measles. Aaron is citing 400 deaths per
 

1799
00:31:37,800 --> 00:31:39,910
measles. Aaron is citing 400 deaths per
year pre-vaccine and pretending that's

1800
00:31:39,910 --> 00:31:39,920
year pre-vaccine and pretending that's
 

1801
00:31:39,920 --> 00:31:41,590
year pre-vaccine and pretending that's
the whole story. He's ignoring

1802
00:31:41,590 --> 00:31:41,600
the whole story. He's ignoring
 

1803
00:31:41,600 --> 00:31:43,630
the whole story. He's ignoring
incidents. Prior to protection via

1804
00:31:43,630 --> 00:31:43,640
incidents. Prior to protection via
 

1805
00:31:43,640 --> 00:31:46,110
incidents. Prior to protection via
vaccination, we saw around 48,000

1806
00:31:46,110 --> 00:31:46,120
vaccination, we saw around 48,000
 

1807
00:31:46,120 --> 00:31:48,630
vaccination, we saw around 48,000
hospitalizations annually, about 1,000

1808
00:31:48,630 --> 00:31:48,640
hospitalizations annually, about 1,000
 

1809
00:31:48,640 --> 00:31:50,630
hospitalizations annually, about 1,000
cases of encephalitis, which means brain

1810
00:31:50,630 --> 00:31:50,640
cases of encephalitis, which means brain
 

1811
00:31:50,640 --> 00:31:52,950
cases of encephalitis, which means brain
swelling, permanent neurological damage,

1812
00:31:52,950 --> 00:31:52,960
swelling, permanent neurological damage,
 

1813
00:31:52,960 --> 00:31:54,950
swelling, permanent neurological damage,
deafness, and immune amnesia in

1814
00:31:54,950 --> 00:31:54,960
deafness, and immune amnesia in
 

1815
00:31:54,960 --> 00:31:57,270
deafness, and immune amnesia in
survivors. The vaccine was not just

1816
00:31:57,270 --> 00:31:57,280
survivors. The vaccine was not just
 

1817
00:31:57,280 --> 00:31:59,110
survivors. The vaccine was not just
about reducing deaths. It's about

1818
00:31:59,110 --> 00:31:59,120
about reducing deaths. It's about
 

1819
00:31:59,120 --> 00:32:01,390
about reducing deaths. It's about
preventing infection and transmission in

1820
00:32:01,390 --> 00:32:01,400
preventing infection and transmission in
 

1821
00:32:01,400 --> 00:32:03,750
preventing infection and transmission in
general. Through vaccination, measles

1822
00:32:03,750 --> 00:32:03,760
general. Through vaccination, measles
 

1823
00:32:03,760 --> 00:32:06,630
general. Through vaccination, measles
cases were reduced by more than 99%

1824
00:32:06,630 --> 00:32:06,640
cases were reduced by more than 99%
 

1825
00:32:06,640 --> 00:32:08,390
cases were reduced by more than 99%
completely eliminating endemic

1826
00:32:08,390 --> 00:32:08,400
completely eliminating endemic
 

1827
00:32:08,400 --> 00:32:10,390
completely eliminating endemic
transmission. Additionally, measles

1828
00:32:10,390 --> 00:32:10,400
transmission. Additionally, measles
 

1829
00:32:10,400 --> 00:32:13,190
transmission. Additionally, measles
vaccination prevented an estimated 23.2

1830
00:32:13,190 --> 00:32:13,200
vaccination prevented an estimated 23.2
 

1831
00:32:13,200 --> 00:32:16,270
vaccination prevented an estimated 23.2
million deaths between 2000 and 2018,

1832
00:32:16,270 --> 00:32:16,280
million deaths between 2000 and 2018,
 

1833
00:32:16,280 --> 00:32:18,470
million deaths between 2000 and 2018,
once we remember that countries other

1834
00:32:18,470 --> 00:32:18,480
once we remember that countries other
 

1835
00:32:18,480 --> 00:32:21,190
once we remember that countries other
than the United States also exist. This

1836
00:32:21,190 --> 00:32:21,200
than the United States also exist. This
 

1837
00:32:21,200 --> 00:32:23,030
than the United States also exist. This
is just more shady lawyer speak from

1838
00:32:23,030 --> 00:32:23,040
is just more shady lawyer speak from
 

1839
00:32:23,040 --> 00:32:24,790
is just more shady lawyer speak from
Aaron, minimizing the dangers of

1840
00:32:24,790 --> 00:32:24,800
Aaron, minimizing the dangers of
 

1841
00:32:24,800 --> 00:32:26,470
Aaron, minimizing the dangers of
something like measles, which is now

1842
00:32:26,470 --> 00:32:26,480
something like measles, which is now
 

1843
00:32:26,480 --> 00:32:28,430
something like measles, which is now
returning and killing children because

1844
00:32:28,430 --> 00:32:28,440
returning and killing children because
 

1845
00:32:28,440 --> 00:32:30,270
returning and killing children because
of the propaganda [\h__\h] like him are

1846
00:32:30,270 --> 00:32:30,280
of the propaganda [\h__\h] like him are
 

1847
00:32:30,280 --> 00:32:32,950
of the propaganda [\h__\h] like him are
spreading. My recollection of it was the

1848
00:32:32,950 --> 00:32:32,960
spreading. My recollection of it was the
 

1849
00:32:32,960 --> 00:32:34,830
spreading. My recollection of it was the
episode of the Brady Bunch. Do you

1850
00:32:34,830 --> 00:32:34,840
episode of the Brady Bunch. Do you
 

1851
00:32:34,840 --> 00:32:36,550
episode of the Brady Bunch. Do you
remember? Yeah. Remember that episode?

1852
00:32:36,550 --> 00:32:36,560
remember? Yeah. Remember that episode?
 

1853
00:32:36,560 --> 00:32:37,470
remember? Yeah. Remember that episode?
>> Yeah, they were laughing about it.

1854
00:32:37,470 --> 00:32:37,480
>> Yeah, they were laughing about it.
 

1855
00:32:37,480 --> 00:32:39,710
>> Yeah, they were laughing about it.
>> Let's watch this. Find that clip and

1856
00:32:39,710 --> 00:32:39,720
>> Let's watch this. Find that clip and
 

1857
00:32:39,720 --> 00:32:41,230
>> Let's watch this. Find that clip and
let's watch it because

1858
00:32:41,230 --> 00:32:41,240
let's watch it because
 

1859
00:32:41,240 --> 00:32:42,750
let's watch it because
it's so

1860
00:32:42,750 --> 00:32:42,760
it's so
 

1861
00:32:42,760 --> 00:32:45,030
it's so
indicative of

1862
00:32:45,030 --> 00:32:45,040
indicative of
 

1863
00:32:45,040 --> 00:32:46,990
indicative of
what measles was actually like in the

1864
00:32:46,990 --> 00:32:47,000
what measles was actually like in the
 

1865
00:32:47,000 --> 00:32:48,430
what measles was actually like in the
culture

1866
00:32:48,430 --> 00:32:48,440
culture
 

1867
00:32:48,440 --> 00:32:50,190
culture
of the people that would get it all the

1868
00:32:50,190 --> 00:32:50,200
of the people that would get it all the
 

1869
00:32:50,200 --> 00:32:54,230
of the people that would get it all the
time versus this boogeyman of today.

1870
00:32:54,230 --> 00:32:54,240
time versus this boogeyman of today.
 

1871
00:32:54,240 --> 00:32:56,750
time versus this boogeyman of today.
I mean, it is it's so stark. It's so I

1872
00:32:56,750 --> 00:32:56,760
I mean, it is it's so stark. It's so I
 

1873
00:32:56,760 --> 00:32:58,390
I mean, it is it's so stark. It's so I
mean, it's like imagine the kid coming

1874
00:32:58,390 --> 00:32:58,400
mean, it's like imagine the kid coming
 

1875
00:32:58,400 --> 00:32:59,790
mean, it's like imagine the kid coming
home, "Hey, Mom, I've got AIDS. I've got

1876
00:32:59,790 --> 00:32:59,800
home, "Hey, Mom, I've got AIDS. I've got
 

1877
00:32:59,800 --> 00:33:01,390
home, "Hey, Mom, I've got AIDS. I've got
to stay home from school." It's not

1878
00:33:01,390 --> 00:33:01,400
to stay home from school." It's not
 

1879
00:33:01,400 --> 00:33:03,590
to stay home from school." It's not
that, right? It's It's the way that most

1880
00:33:03,590 --> 00:33:03,600
that, right? It's It's the way that most
 

1881
00:33:03,600 --> 00:33:04,870
that, right? It's It's the way that most
folks who've had chickenpox think of

1882
00:33:04,870 --> 00:33:04,880
folks who've had chickenpox think of
 

1883
00:33:04,880 --> 00:33:07,630
folks who've had chickenpox think of
chickenpox. Right. Um

1884
00:33:07,630 --> 00:33:07,640
chickenpox. Right. Um
 

1885
00:33:07,640 --> 00:33:09,950
chickenpox. Right. Um
but we're told that it's killing people.

1886
00:33:09,950 --> 00:33:09,960
but we're told that it's killing people.
 

1887
00:33:09,960 --> 00:33:11,230
but we're told that it's killing people.
And we're told that it's killing people

1888
00:33:11,230 --> 00:33:11,240
And we're told that it's killing people
 

1889
00:33:11,240 --> 00:33:13,230
And we're told that it's killing people
now. We're told that it's killing It's

1890
00:33:13,230 --> 00:33:13,240
now. We're told that it's killing It's
 

1891
00:33:13,240 --> 00:33:14,590
now. We're told that it's killing It's
always kids. They're We're We're told

1892
00:33:14,590 --> 00:33:14,600
always kids. They're We're We're told
 

1893
00:33:14,600 --> 00:33:15,750
always kids. They're We're We're told
it's killing kids now.

1894
00:33:15,750 --> 00:33:15,760
it's killing kids now.
 

1895
00:33:15,760 --> 00:33:17,350
it's killing kids now.
>> Yeah. We don't need to watch a Brady

1896
00:33:17,350 --> 00:33:17,360
>> Yeah. We don't need to watch a Brady
 

1897
00:33:17,360 --> 00:33:19,990
>> Yeah. We don't need to watch a Brady
Bunch clip. It is killing kids now. Less

1898
00:33:19,990 --> 00:33:20,000
Bunch clip. It is killing kids now. Less
 

1899
00:33:20,000 --> 00:33:21,870
Bunch clip. It is killing kids now. Less
than 400 per year, of course, but I'm

1900
00:33:21,870 --> 00:33:21,880
than 400 per year, of course, but I'm
 

1901
00:33:21,880 --> 00:33:23,750
than 400 per year, of course, but I'm
sure Bobby and friends can bring us back

1902
00:33:23,750 --> 00:33:23,760
sure Bobby and friends can bring us back
 

1903
00:33:23,760 --> 00:33:25,310
sure Bobby and friends can bring us back
to pre-vaccine numbers with a little

1904
00:33:25,310 --> 00:33:25,320
to pre-vaccine numbers with a little
 

1905
00:33:25,320 --> 00:33:27,510
to pre-vaccine numbers with a little
elbow grease. That a fictitious TV

1906
00:33:27,510 --> 00:33:27,520
elbow grease. That a fictitious TV
 

1907
00:33:27,520 --> 00:33:29,350
elbow grease. That a fictitious TV
family wasn't panicking about a measles

1908
00:33:29,350 --> 00:33:29,360
family wasn't panicking about a measles
 

1909
00:33:29,360 --> 00:33:31,830
family wasn't panicking about a measles
case doesn't negate thousands of serious

1910
00:33:31,830 --> 00:33:31,840
case doesn't negate thousands of serious
 

1911
00:33:31,840 --> 00:33:33,830
case doesn't negate thousands of serious
complications that happened every year.

1912
00:33:33,830 --> 00:33:33,840
complications that happened every year.
 

1913
00:33:33,840 --> 00:33:36,910
complications that happened every year.
Post-vaccine data from MMWR and CDC

1914
00:33:36,910 --> 00:33:36,920
Post-vaccine data from MMWR and CDC
 

1915
00:33:36,920 --> 00:33:39,030
Post-vaccine data from MMWR and CDC
surveillance show the near elimination

1916
00:33:39,030 --> 00:33:39,040
surveillance show the near elimination
 

1917
00:33:39,040 --> 00:33:41,230
surveillance show the near elimination
of those burdens until importations from

1918
00:33:41,230 --> 00:33:41,240
of those burdens until importations from
 

1919
00:33:41,240 --> 00:33:43,430
of those burdens until importations from
unvaccinated communities like the Amish.

1920
00:33:43,430 --> 00:33:43,440
unvaccinated communities like the Amish.
 

1921
00:33:43,440 --> 00:33:46,470
unvaccinated communities like the Amish.
Between 1900 and the late 1950s, early

1922
00:33:46,470 --> 00:33:46,480
Between 1900 and the late 1950s, early
 

1923
00:33:46,480 --> 00:33:49,390
Between 1900 and the late 1950s, early
1960s, the mortality for measles

1924
00:33:49,390 --> 00:33:49,400
1960s, the mortality for measles
 

1925
00:33:49,400 --> 00:33:51,350
1960s, the mortality for measles
declined in the United States by over

1926
00:33:51,350 --> 00:33:51,360
declined in the United States by over
 

1927
00:33:51,360 --> 00:33:53,790
declined in the United States by over
98%.

1928
00:33:53,790 --> 00:33:53,800
98%.
 

1929
00:33:53,800 --> 00:33:55,669
98%.
You know what didn't cause that?

1930
00:33:55,669 --> 00:33:55,679
You know what didn't cause that?
 

1931
00:33:55,679 --> 00:33:56,230
You know what didn't cause that?
Vaccines.

1932
00:33:56,230 --> 00:33:56,240
Vaccines.
 

1933
00:33:56,240 --> 00:33:58,550
Vaccines.
>> Yeah, cuz it didn't exist. Sanitation

1934
00:33:58,550 --> 00:33:58,560
>> Yeah, cuz it didn't exist. Sanitation
 

1935
00:33:58,560 --> 00:34:00,430
>> Yeah, cuz it didn't exist. Sanitation
and nutrition explain a large part of

1936
00:34:00,430 --> 00:34:00,440
and nutrition explain a large part of
 

1937
00:34:00,440 --> 00:34:03,270
and nutrition explain a large part of
the mortality drop, but only the vaccine

1938
00:34:03,270 --> 00:34:03,280
the mortality drop, but only the vaccine
 

1939
00:34:03,280 --> 00:34:05,830
the mortality drop, but only the vaccine
explains the collapse in actual disease

1940
00:34:05,830 --> 00:34:05,840
explains the collapse in actual disease
 

1941
00:34:05,840 --> 00:34:07,910
explains the collapse in actual disease
incidents. Again, he's fixating on

1942
00:34:07,910 --> 00:34:07,920
incidents. Again, he's fixating on
 

1943
00:34:07,920 --> 00:34:09,909
incidents. Again, he's fixating on
deaths as though that's the only metric

1944
00:34:09,909 --> 00:34:09,919
deaths as though that's the only metric
 

1945
00:34:09,919 --> 00:34:11,630
deaths as though that's the only metric
that matters, beyond the callous

1946
00:34:11,630 --> 00:34:11,640
that matters, beyond the callous
 

1947
00:34:11,640 --> 00:34:13,590
that matters, beyond the callous
dismissal of 400 deaths per year that

1948
00:34:13,590 --> 00:34:13,600
dismissal of 400 deaths per year that
 

1949
00:34:13,600 --> 00:34:15,510
dismissal of 400 deaths per year that
are easily avoided by an extremely safe

1950
00:34:15,510 --> 00:34:15,520
are easily avoided by an extremely safe
 

1951
00:34:15,520 --> 00:34:17,909
are easily avoided by an extremely safe
and effective vaccine. This is the point

1952
00:34:17,909 --> 00:34:17,919
and effective vaccine. This is the point
 

1953
00:34:17,919 --> 00:34:19,990
and effective vaccine. This is the point
he is dishonestly skirting around.

1954
00:34:19,990 --> 00:34:20,000
he is dishonestly skirting around.
 

1955
00:34:20,000 --> 00:34:22,310
he is dishonestly skirting around.
Sanitation did reduce how deadly the

1956
00:34:22,310 --> 00:34:22,320
Sanitation did reduce how deadly the
 

1957
00:34:22,320 --> 00:34:25,310
Sanitation did reduce how deadly the
measles virus was. Only vaccines reduced

1958
00:34:25,310 --> 00:34:25,320
measles virus was. Only vaccines reduced
 

1959
00:34:25,320 --> 00:34:28,310
measles virus was. Only vaccines reduced
how common infection was. Anyway, this

1960
00:34:28,310 --> 00:34:28,320
how common infection was. Anyway, this
 

1961
00:34:28,320 --> 00:34:30,310
how common infection was. Anyway, this
is a very long episode, and by that I

1962
00:34:30,310 --> 00:34:30,320
is a very long episode, and by that I
 

1963
00:34:30,320 --> 00:34:32,430
is a very long episode, and by that I
mean it's an average Joe Rogan episode.

1964
00:34:32,430 --> 00:34:32,440
mean it's an average Joe Rogan episode.
 

1965
00:34:32,440 --> 00:34:34,110
mean it's an average Joe Rogan episode.
So, let's just jump ahead and make a few

1966
00:34:34,110 --> 00:34:34,120
So, let's just jump ahead and make a few
 

1967
00:34:34,120 --> 00:34:35,950
So, let's just jump ahead and make a few
more important points. In the normal

1968
00:34:35,950 --> 00:34:35,960
more important points. In the normal
 

1969
00:34:35,960 --> 00:34:39,149
more important points. In the normal
course, okay, in the normal course,

1970
00:34:39,149 --> 00:34:39,159
course, okay, in the normal course,
 

1971
00:34:39,159 --> 00:34:40,990
course, okay, in the normal course,
you've got a product. You've gone from

1972
00:34:40,990 --> 00:34:41,000
you've got a product. You've gone from
 

1973
00:34:41,000 --> 00:34:42,669
you've got a product. You've gone from
three of them

1974
00:34:42,669 --> 00:34:42,679
three of them
 

1975
00:34:42,679 --> 00:34:45,669
three of them
in 1986 by the first year. You're up to

1976
00:34:45,669 --> 00:34:45,679
in 1986 by the first year. You're up to
 

1977
00:34:45,679 --> 00:34:48,950
in 1986 by the first year. You're up to
25 29 beginning of 2025.

1978
00:34:48,950 --> 00:34:48,960
25 29 beginning of 2025.
 

1979
00:34:48,960 --> 00:34:50,710
25 29 beginning of 2025.
Now you're at 19 still. During that

1980
00:34:50,710 --> 00:34:50,720
Now you're at 19 still. During that
 

1981
00:34:50,720 --> 00:34:53,190
Now you're at 19 still. During that
period, you've gone from under 10% of

1982
00:34:53,190 --> 00:34:53,200
period, you've gone from under 10% of
 

1983
00:34:53,200 --> 00:34:54,630
period, you've gone from under 10% of
kids had a chronic health issue in the

1984
00:34:54,630 --> 00:34:54,640
kids had a chronic health issue in the
 

1985
00:34:54,640 --> 00:34:57,470
kids had a chronic health issue in the
early 1980s, according to the data.

1986
00:34:57,470 --> 00:34:57,480
early 1980s, according to the data.
 

1987
00:34:57,480 --> 00:34:59,550
early 1980s, according to the data.
You now have over 40%. Some data show

1988
00:34:59,550 --> 00:34:59,560
You now have over 40%. Some data show
 

1989
00:34:59,560 --> 00:35:01,110
You now have over 40%. Some data show
over 50% of kids having chronic health

1990
00:35:01,110 --> 00:35:01,120
over 50% of kids having chronic health
 

1991
00:35:01,120 --> 00:35:04,110
over 50% of kids having chronic health
issues, often multiple times the rate.

1992
00:35:04,110 --> 00:35:04,120
issues, often multiple times the rate.
 

1993
00:35:04,120 --> 00:35:06,470
issues, often multiple times the rate.
Here we go, another round of vaccines

1994
00:35:06,470 --> 00:35:06,480
Here we go, another round of vaccines
 

1995
00:35:06,480 --> 00:35:08,390
Here we go, another round of vaccines
cause all these chronic diseases

1996
00:35:08,390 --> 00:35:08,400
cause all these chronic diseases
 

1997
00:35:08,400 --> 00:35:10,630
cause all these chronic diseases
[\h__\h] We dealt with this in the RFK

1998
00:35:10,630 --> 00:35:10,640
[\h__\h] We dealt with this in the RFK
 

1999
00:35:10,640 --> 00:35:12,630
[\h__\h] We dealt with this in the RFK
video, but let's talk about it again.

2000
00:35:12,630 --> 00:35:12,640
video, but let's talk about it again.
 

2001
00:35:12,640 --> 00:35:14,830
video, but let's talk about it again.
First of all, it continually blows my

2002
00:35:14,830 --> 00:35:14,840
First of all, it continually blows my
 

2003
00:35:14,840 --> 00:35:17,670
First of all, it continually blows my
mind how [\h__\h] like this cite more

2004
00:35:17,670 --> 00:35:17,680
mind how [\h__\h] like this cite more
 

2005
00:35:17,680 --> 00:35:21,390
mind how [\h__\h] like this cite more
vaccines as being a bad thing. It's good

2006
00:35:21,390 --> 00:35:21,400
vaccines as being a bad thing. It's good
 

2007
00:35:21,400 --> 00:35:24,030
vaccines as being a bad thing. It's good
that we now have hepatitis vaccines and

2008
00:35:24,030 --> 00:35:24,040
that we now have hepatitis vaccines and
 

2009
00:35:24,040 --> 00:35:27,110
that we now have hepatitis vaccines and
rotavirus and varicella and others. It's

2010
00:35:27,110 --> 00:35:27,120
rotavirus and varicella and others. It's
 

2011
00:35:27,120 --> 00:35:29,190
rotavirus and varicella and others. It's
good to immunize against more things

2012
00:35:29,190 --> 00:35:29,200
good to immunize against more things
 

2013
00:35:29,200 --> 00:35:31,670
good to immunize against more things
beyond just DTP and polio. Second of

2014
00:35:31,670 --> 00:35:31,680
beyond just DTP and polio. Second of
 

2015
00:35:31,680 --> 00:35:33,550
beyond just DTP and polio. Second of
all, more vaccines and more chronic

2016
00:35:33,550 --> 00:35:33,560
all, more vaccines and more chronic
 

2017
00:35:33,560 --> 00:35:35,430
all, more vaccines and more chronic
disease, therefore vaccines cause

2018
00:35:35,430 --> 00:35:35,440
disease, therefore vaccines cause
 

2019
00:35:35,440 --> 00:35:36,990
disease, therefore vaccines cause
chronic disease, is such a

2020
00:35:36,990 --> 00:35:37,000
chronic disease, is such a
 

2021
00:35:37,000 --> 00:35:39,070
chronic disease, is such a
mind-numbingly stupid argument that I

2022
00:35:39,070 --> 00:35:39,080
mind-numbingly stupid argument that I
 

2023
00:35:39,080 --> 00:35:41,030
mind-numbingly stupid argument that I
can't believe people fall for it. We've

2024
00:35:41,030 --> 00:35:41,040
can't believe people fall for it. We've
 

2025
00:35:41,040 --> 00:35:42,950
can't believe people fall for it. We've
gone over this before about how ice

2026
00:35:42,950 --> 00:35:42,960
gone over this before about how ice
 

2027
00:35:42,960 --> 00:35:45,230
gone over this before about how ice
cream sales don't cause shark attacks

2028
00:35:45,230 --> 00:35:45,240
cream sales don't cause shark attacks
 

2029
00:35:45,240 --> 00:35:46,670
cream sales don't cause shark attacks
just because they both rise in the

2030
00:35:46,670 --> 00:35:46,680
just because they both rise in the
 

2031
00:35:46,680 --> 00:35:48,990
just because they both rise in the
summer. Say it with me, correlation

2032
00:35:48,990 --> 00:35:49,000
summer. Say it with me, correlation
 

2033
00:35:49,000 --> 00:35:51,310
summer. Say it with me, correlation
doesn't equal causation. He's also

2034
00:35:51,310 --> 00:35:51,320
doesn't equal causation. He's also
 

2035
00:35:51,320 --> 00:35:53,390
doesn't equal causation. He's also
omitting very obvious explanations

2036
00:35:53,390 --> 00:35:53,400
omitting very obvious explanations
 

2037
00:35:53,400 --> 00:35:55,270
omitting very obvious explanations
surrounding better diagnosis and other

2038
00:35:55,270 --> 00:35:55,280
surrounding better diagnosis and other
 

2039
00:35:55,280 --> 00:35:57,230
surrounding better diagnosis and other
such factors. But don't worry, he's got

2040
00:35:57,230 --> 00:35:57,240
such factors. But don't worry, he's got
 

2041
00:35:57,240 --> 00:35:58,710
such factors. But don't worry, he's got
a story about Amish people that we

2042
00:35:58,710 --> 00:35:58,720
a story about Amish people that we
 

2043
00:35:58,720 --> 00:36:00,349
a story about Amish people that we
totally haven't heard before from other

2044
00:36:00,349 --> 00:36:00,359
totally haven't heard before from other
 

2045
00:36:00,359 --> 00:36:03,150
totally haven't heard before from other
[\h__\h] Amongst those children, you

2046
00:36:03,150 --> 00:36:03,160
[\h__\h] Amongst those children, you
 

2047
00:36:03,160 --> 00:36:05,190
[\h__\h] Amongst those children, you
would expect to have because like 1 in

2048
00:36:05,190 --> 00:36:05,200
would expect to have because like 1 in
 

2049
00:36:05,200 --> 00:36:07,150
would expect to have because like 1 in
10 kids approximately have asthma. You

2050
00:36:07,150 --> 00:36:07,160
10 kids approximately have asthma. You
 

2051
00:36:07,160 --> 00:36:08,710
10 kids approximately have asthma. You
would expect to have like nine cases of

2052
00:36:08,710 --> 00:36:08,720
would expect to have like nine cases of
 

2053
00:36:08,720 --> 00:36:10,470
would expect to have like nine cases of
asthma. You would expect to have six

2054
00:36:10,470 --> 00:36:10,480
asthma. You would expect to have six
 

2055
00:36:10,480 --> 00:36:12,270
asthma. You would expect to have six
cases of this, five cases. They have

2056
00:36:12,270 --> 00:36:12,280
cases of this, five cases. They have
 

2057
00:36:12,280 --> 00:36:13,750
cases of this, five cases. They have
none.

2058
00:36:13,750 --> 00:36:13,760
none.
 

2059
00:36:13,760 --> 00:36:15,630
none.
Zero

2060
00:36:15,630 --> 00:36:15,640
Zero
 

2061
00:36:15,640 --> 00:36:17,430
Zero
of the chronic health conditions

2062
00:36:17,430 --> 00:36:17,440
of the chronic health conditions
 

2063
00:36:17,440 --> 00:36:19,670
of the chronic health conditions
plaguing kids in America today. And the

2064
00:36:19,670 --> 00:36:19,680
plaguing kids in America today. And the
 

2065
00:36:19,680 --> 00:36:21,950
plaguing kids in America today. And the
approximately 10 or so studies that have

2066
00:36:21,950 --> 00:36:21,960
approximately 10 or so studies that have
 

2067
00:36:21,960 --> 00:36:23,430
approximately 10 or so studies that have
been done,

2068
00:36:23,430 --> 00:36:23,440
been done,
 

2069
00:36:23,440 --> 00:36:24,430
been done,
and I'm bringing this back to my legal

2070
00:36:24,430 --> 00:36:24,440
and I'm bringing this back to my legal
 

2071
00:36:24,440 --> 00:36:26,830
and I'm bringing this back to my legal
point, the approximately 10 or so

2072
00:36:26,830 --> 00:36:26,840
point, the approximately 10 or so
 

2073
00:36:26,840 --> 00:36:27,990
point, the approximately 10 or so
studies that have done that compared

2074
00:36:27,990 --> 00:36:28,000
studies that have done that compared
 

2075
00:36:28,000 --> 00:36:30,190
studies that have done that compared
kids with no exposure, meaning zero

2076
00:36:30,190 --> 00:36:30,200
kids with no exposure, meaning zero
 

2077
00:36:30,200 --> 00:36:32,270
kids with no exposure, meaning zero
vaccines, to kids that have had one or

2078
00:36:32,270 --> 00:36:32,280
vaccines, to kids that have had one or
 

2079
00:36:32,280 --> 00:36:36,310
vaccines, to kids that have had one or
more vaccines, show the same outcome.

2080
00:36:36,310 --> 00:36:36,320
more vaccines, show the same outcome.
 

2081
00:36:36,320 --> 00:36:38,870
more vaccines, show the same outcome.
Kids with zero vaccines, almost none of

2082
00:36:38,870 --> 00:36:38,880
Kids with zero vaccines, almost none of
 

2083
00:36:38,880 --> 00:36:40,630
Kids with zero vaccines, almost none of
the chronic health issues that face kids

2084
00:36:40,630 --> 00:36:40,640
the chronic health issues that face kids
 

2085
00:36:40,640 --> 00:36:42,670
the chronic health issues that face kids
today in America. Kids with one or more

2086
00:36:42,670 --> 00:36:42,680
today in America. Kids with one or more
 

2087
00:36:42,680 --> 00:36:45,349
today in America. Kids with one or more
vaccines, multiple rates of the chronic

2088
00:36:45,349 --> 00:36:45,359
vaccines, multiple rates of the chronic
 

2089
00:36:45,359 --> 00:36:47,470
vaccines, multiple rates of the chronic
health issues. Amish people don't get

2090
00:36:47,470 --> 00:36:47,480
health issues. Amish people don't get
 

2091
00:36:47,480 --> 00:36:49,310
health issues. Amish people don't get
vaccinated, and they have zero health

2092
00:36:49,310 --> 00:36:49,320
vaccinated, and they have zero health
 

2093
00:36:49,320 --> 00:36:51,390
vaccinated, and they have zero health
issues, while kids who get vaccines are

2094
00:36:51,390 --> 00:36:51,400
issues, while kids who get vaccines are
 

2095
00:36:51,400 --> 00:36:52,830
issues, while kids who get vaccines are
all practically about to die. So,

2096
00:36:52,830 --> 00:36:52,840
all practically about to die. So,
 

2097
00:36:52,840 --> 00:36:55,150
all practically about to die. So,
vaccines are poison. Absolutely

2098
00:36:55,150 --> 00:36:55,160
vaccines are poison. Absolutely
 

2099
00:36:55,160 --> 00:36:57,390
vaccines are poison. Absolutely
ridiculous. First of all, Amish people

2100
00:36:57,390 --> 00:36:57,400
ridiculous. First of all, Amish people
 

2101
00:36:57,400 --> 00:36:58,830
ridiculous. First of all, Amish people
have chronic disease. They're not

2102
00:36:58,830 --> 00:36:58,840
have chronic disease. They're not
 

2103
00:36:58,840 --> 00:37:00,710
have chronic disease. They're not
[\h__\h] cyborgs. Could they have

2104
00:37:00,710 --> 00:37:00,720
[\h__\h] cyborgs. Could they have
 

2105
00:37:00,720 --> 00:37:02,550
[\h__\h] cyborgs. Could they have
comparatively lower rates of chronic

2106
00:37:02,550 --> 00:37:02,560
comparatively lower rates of chronic
 

2107
00:37:02,560 --> 00:37:04,990
comparatively lower rates of chronic
disease? Sure. And on average, they do

2108
00:37:04,990 --> 00:37:05,000
disease? Sure. And on average, they do
 

2109
00:37:05,000 --> 00:37:06,590
disease? Sure. And on average, they do
seem to show lower rates of things like

2110
00:37:06,590 --> 00:37:06,600
seem to show lower rates of things like
 

2111
00:37:06,600 --> 00:37:09,030
seem to show lower rates of things like
cardiovascular issues and diabetes. Is

2112
00:37:09,030 --> 00:37:09,040
cardiovascular issues and diabetes. Is
 

2113
00:37:09,040 --> 00:37:11,110
cardiovascular issues and diabetes. Is
it because they don't get vaccinated?

2114
00:37:11,110 --> 00:37:11,120
it because they don't get vaccinated?
 

2115
00:37:11,120 --> 00:37:13,349
it because they don't get vaccinated?
No, there are lifestyle differences.

2116
00:37:13,349 --> 00:37:13,359
No, there are lifestyle differences.
 

2117
00:37:13,359 --> 00:37:15,390
No, there are lifestyle differences.
They do tons of manual labor. Their

2118
00:37:15,390 --> 00:37:15,400
They do tons of manual labor. Their
 

2119
00:37:15,400 --> 00:37:17,070
They do tons of manual labor. Their
diets are different. They differ in

2120
00:37:17,070 --> 00:37:17,080
diets are different. They differ in
 

2121
00:37:17,080 --> 00:37:19,270
diets are different. They differ in
genetics, screen time, diagnostic

2122
00:37:19,270 --> 00:37:19,280
genetics, screen time, diagnostic
 

2123
00:37:19,280 --> 00:37:22,110
genetics, screen time, diagnostic
practices, almost everything. Two groups

2124
00:37:22,110 --> 00:37:22,120
practices, almost everything. Two groups
 

2125
00:37:22,120 --> 00:37:23,830
practices, almost everything. Two groups
have to be comparable if you want to

2126
00:37:23,830 --> 00:37:23,840
have to be comparable if you want to
 

2127
00:37:23,840 --> 00:37:25,590
have to be comparable if you want to
isolate a variable like the effects of

2128
00:37:25,590 --> 00:37:25,600
isolate a variable like the effects of
 

2129
00:37:25,600 --> 00:37:28,110
isolate a variable like the effects of
vaccines. There are plenty of studies

2130
00:37:28,110 --> 00:37:28,120
vaccines. There are plenty of studies
 

2131
00:37:28,120 --> 00:37:31,030
vaccines. There are plenty of studies
that document autism, cancer, diabetes,

2132
00:37:31,030 --> 00:37:31,040
that document autism, cancer, diabetes,
 

2133
00:37:31,040 --> 00:37:32,990
that document autism, cancer, diabetes,
and every other chronic disease in Amish

2134
00:37:32,990 --> 00:37:33,000
and every other chronic disease in Amish
 

2135
00:37:33,000 --> 00:37:34,790
and every other chronic disease in Amish
communities. So, the idea that they

2136
00:37:34,790 --> 00:37:34,800
communities. So, the idea that they
 

2137
00:37:34,800 --> 00:37:37,110
communities. So, the idea that they
don't exist is idiotic. But where rates

2138
00:37:37,110 --> 00:37:37,120
don't exist is idiotic. But where rates
 

2139
00:37:37,120 --> 00:37:38,830
don't exist is idiotic. But where rates
differ, you have to consider the

2140
00:37:38,830 --> 00:37:38,840
differ, you have to consider the
 

2141
00:37:38,840 --> 00:37:41,349
differ, you have to consider the
countless confounders that exist. Aaron

2142
00:37:41,349 --> 00:37:41,359
countless confounders that exist. Aaron
 

2143
00:37:41,359 --> 00:37:43,349
countless confounders that exist. Aaron
is really showing how much he isn't a

2144
00:37:43,349 --> 00:37:43,359
is really showing how much he isn't a
 

2145
00:37:43,359 --> 00:37:45,310
is really showing how much he isn't a
scientist. But beyond this, he's

2146
00:37:45,310 --> 00:37:45,320
scientist. But beyond this, he's
 

2147
00:37:45,320 --> 00:37:47,750
scientist. But beyond this, he's
knowingly referencing shitty data. These

2148
00:37:47,750 --> 00:37:47,760
knowingly referencing shitty data. These
 

2149
00:37:47,760 --> 00:37:50,349
knowingly referencing shitty data. These
vax versus unvax studies he cites are

2150
00:37:50,349 --> 00:37:50,359
vax versus unvax studies he cites are
 

2151
00:37:50,359 --> 00:37:52,550
vax versus unvax studies he cites are
retrospective, convenience sampled,

2152
00:37:52,550 --> 00:37:52,560
retrospective, convenience sampled,
 

2153
00:37:52,560 --> 00:37:54,630
retrospective, convenience sampled,
self-reported, or poorly adjusted for

2154
00:37:54,630 --> 00:37:54,640
self-reported, or poorly adjusted for
 

2155
00:37:54,640 --> 00:37:56,910
self-reported, or poorly adjusted for
socioeconomic status, breastfeeding,

2156
00:37:56,910 --> 00:37:56,920
socioeconomic status, breastfeeding,
 

2157
00:37:56,920 --> 00:37:59,390
socioeconomic status, breastfeeding,
prenatal care, and selection bias. Every

2158
00:37:59,390 --> 00:37:59,400
prenatal care, and selection bias. Every
 

2159
00:37:59,400 --> 00:38:01,349
prenatal care, and selection bias. Every
time they pretend to be going by the

2160
00:38:01,349 --> 00:38:01,359
time they pretend to be going by the
 

2161
00:38:01,359 --> 00:38:03,430
time they pretend to be going by the
science, this is what they're actually

2162
00:38:03,430 --> 00:38:03,440
science, this is what they're actually
 

2163
00:38:03,440 --> 00:38:06,110
science, this is what they're actually
doing. In reality, all large,

2164
00:38:06,110 --> 00:38:06,120
doing. In reality, all large,
 

2165
00:38:06,120 --> 00:38:08,790
doing. In reality, all large,
well-controlled reviews, like IOM or

2166
00:38:08,790 --> 00:38:08,800
well-controlled reviews, like IOM or
 

2167
00:38:08,800 --> 00:38:11,790
well-controlled reviews, like IOM or
Cochrane-style analyses, do not support

2168
00:38:11,790 --> 00:38:11,800
Cochrane-style analyses, do not support
 

2169
00:38:11,800 --> 00:38:13,550
Cochrane-style analyses, do not support
a causal link between the vaccine

2170
00:38:13,550 --> 00:38:13,560
a causal link between the vaccine
 

2171
00:38:13,560 --> 00:38:16,030
a causal link between the vaccine
schedule and rising chronic illness.

2172
00:38:16,030 --> 00:38:16,040
schedule and rising chronic illness.
 

2173
00:38:16,040 --> 00:38:18,349
schedule and rising chronic illness.
Overall, US chronic disease trends have

2174
00:38:18,349 --> 00:38:18,359
Overall, US chronic disease trends have
 

2175
00:38:18,359 --> 00:38:20,630
Overall, US chronic disease trends have
multiple drivers, which include, most

2176
00:38:20,630 --> 00:38:20,640
multiple drivers, which include, most
 

2177
00:38:20,640 --> 00:38:24,230
multiple drivers, which include, most
critically, better diagnosis, especially

2178
00:38:24,230 --> 00:38:24,240
critically, better diagnosis, especially
 

2179
00:38:24,240 --> 00:38:26,230
critically, better diagnosis, especially
when it comes to autism, but even with

2180
00:38:26,230 --> 00:38:26,240
when it comes to autism, but even with
 

2181
00:38:26,240 --> 00:38:28,110
when it comes to autism, but even with
every other such condition, when better

2182
00:38:28,110 --> 00:38:28,120
every other such condition, when better
 

2183
00:38:28,120 --> 00:38:30,030
every other such condition, when better
access to diagnostic evaluation is

2184
00:38:30,030 --> 00:38:30,040
access to diagnostic evaluation is
 

2185
00:38:30,040 --> 00:38:33,030
access to diagnostic evaluation is
provided, more people are diagnosed with

2186
00:38:33,030 --> 00:38:33,040
provided, more people are diagnosed with
 

2187
00:38:33,040 --> 00:38:35,830
provided, more people are diagnosed with
things. This is obvious. Other factors

2188
00:38:35,830 --> 00:38:35,840
things. This is obvious. Other factors
 

2189
00:38:35,840 --> 00:38:37,590
things. This is obvious. Other factors
can also contribute, like the global

2190
00:38:37,590 --> 00:38:37,600
can also contribute, like the global
 

2191
00:38:37,600 --> 00:38:40,230
can also contribute, like the global
obesity epidemic, environmental changes,

2192
00:38:40,230 --> 00:38:40,240
obesity epidemic, environmental changes,
 

2193
00:38:40,240 --> 00:38:42,190
obesity epidemic, environmental changes,
genetics, and, crucially, better

2194
00:38:42,190 --> 00:38:42,200
genetics, and, crucially, better
 

2195
00:38:42,200 --> 00:38:43,670
genetics, and, crucially, better
survival of children that might

2196
00:38:43,670 --> 00:38:43,680
survival of children that might
 

2197
00:38:43,680 --> 00:38:46,030
survival of children that might
otherwise be dead. Kids that don't die

2198
00:38:46,030 --> 00:38:46,040
otherwise be dead. Kids that don't die
 

2199
00:38:46,040 --> 00:38:48,870
otherwise be dead. Kids that don't die
from pathogens because vaccines exist,

2200
00:38:48,870 --> 00:38:48,880
from pathogens because vaccines exist,
 

2201
00:38:48,880 --> 00:38:50,870
from pathogens because vaccines exist,
so instead, they are alive with a

2202
00:38:50,870 --> 00:38:50,880
so instead, they are alive with a
 

2203
00:38:50,880 --> 00:38:53,070
so instead, they are alive with a
chronic condition. We beat this horse to

2204
00:38:53,070 --> 00:38:53,080
chronic condition. We beat this horse to
 

2205
00:38:53,080 --> 00:38:55,150
chronic condition. We beat this horse to
death in the RFK video, but it bears

2206
00:38:55,150 --> 00:38:55,160
death in the RFK video, but it bears
 

2207
00:38:55,160 --> 00:38:57,150
death in the RFK video, but it bears
repeating that while the rise in chronic

2208
00:38:57,150 --> 00:38:57,160
repeating that while the rise in chronic
 

2209
00:38:57,160 --> 00:38:59,430
repeating that while the rise in chronic
conditions is real and deserves study,

2210
00:38:59,430 --> 00:38:59,440
conditions is real and deserves study,
 

2211
00:38:59,440 --> 00:39:01,910
conditions is real and deserves study,
attributing it primarily to vaccines is

2212
00:39:01,910 --> 00:39:01,920
attributing it primarily to vaccines is
 

2213
00:39:01,920 --> 00:39:03,590
attributing it primarily to vaccines is
nothing but a malicious propaganda

2214
00:39:03,590 --> 00:39:03,600
nothing but a malicious propaganda
 

2215
00:39:03,600 --> 00:39:05,590
nothing but a malicious propaganda
campaign that dishonestly ignores

2216
00:39:05,590 --> 00:39:05,600
campaign that dishonestly ignores
 

2217
00:39:05,600 --> 00:39:07,750
campaign that dishonestly ignores
confounders and the absence of any kind

2218
00:39:07,750 --> 00:39:07,760
confounders and the absence of any kind
 

2219
00:39:07,760 --> 00:39:09,710
confounders and the absence of any kind
of signal in rigorous pharmacovigilance

2220
00:39:09,710 --> 00:39:09,720
of signal in rigorous pharmacovigilance
 

2221
00:39:09,720 --> 00:39:11,470
of signal in rigorous pharmacovigilance
data. The The follow-up question would

2222
00:39:11,470 --> 00:39:11,480
data. The The follow-up question would
 

2223
00:39:11,480 --> 00:39:14,270
data. The The follow-up question would
be, are they even being diagnosed? So,

2224
00:39:14,270 --> 00:39:14,280
be, are they even being diagnosed? So,
 

2225
00:39:14,280 --> 00:39:16,510
be, are they even being diagnosed? So,
if they're getting Amish care and Amish

2226
00:39:16,510 --> 00:39:16,520
if they're getting Amish care and Amish
 

2227
00:39:16,520 --> 00:39:18,830
if they're getting Amish care and Amish
teachers and Amish

2228
00:39:18,830 --> 00:39:18,840
teachers and Amish
 

2229
00:39:18,840 --> 00:39:21,390
teachers and Amish
Is it possible that there are some kids

2230
00:39:21,390 --> 00:39:21,400
Is it possible that there are some kids
 

2231
00:39:21,400 --> 00:39:24,230
Is it possible that there are some kids
that are just behaving odd that would be

2232
00:39:24,230 --> 00:39:24,240
that are just behaving odd that would be
 

2233
00:39:24,240 --> 00:39:26,349
that are just behaving odd that would be
diagnosed? Like, this is the criticism.

2234
00:39:26,349 --> 00:39:26,359
diagnosed? Like, this is the criticism.
 

2235
00:39:26,359 --> 00:39:26,870
diagnosed? Like, this is the criticism.
>> Yes.

2236
00:39:26,870 --> 00:39:26,880
>> Yes.
 

2237
00:39:26,880 --> 00:39:28,950
>> Yes.
>> say, like, this is when you hear some

2238
00:39:28,950 --> 00:39:28,960
>> say, like, this is when you hear some
 

2239
00:39:28,960 --> 00:39:31,470
>> say, like, this is when you hear some
mainstream suit talking on television,

2240
00:39:31,470 --> 00:39:31,480
mainstream suit talking on television,
 

2241
00:39:31,480 --> 00:39:32,830
mainstream suit talking on television,
"Well, there was always someone odd when

2242
00:39:32,830 --> 00:39:32,840
"Well, there was always someone odd when
 

2243
00:39:32,840 --> 00:39:34,910
"Well, there was always someone odd when
we were kids." You know, there's no They

2244
00:39:34,910 --> 00:39:34,920
we were kids." You know, there's no They
 

2245
00:39:34,920 --> 00:39:37,310
we were kids." You know, there's no They
just The diagnosis is different today.

2246
00:39:37,310 --> 00:39:37,320
just The diagnosis is different today.
 

2247
00:39:37,320 --> 00:39:39,150
just The diagnosis is different today.
That's why it's 1 in 12 boys in

2248
00:39:39,150 --> 00:39:39,160
That's why it's 1 in 12 boys in
 

2249
00:39:39,160 --> 00:39:41,070
That's why it's 1 in 12 boys in
California. They're over-diagnosing. And

2250
00:39:41,070 --> 00:39:41,080
California. They're over-diagnosing. And
 

2251
00:39:41,080 --> 00:39:43,430
California. They're over-diagnosing. And
I'm like, "No." Leave it to Joe to

2252
00:39:43,430 --> 00:39:43,440
I'm like, "No." Leave it to Joe to
 

2253
00:39:43,440 --> 00:39:45,630
I'm like, "No." Leave it to Joe to
ensure that the only factual information

2254
00:39:45,630 --> 00:39:45,640
ensure that the only factual information
 

2255
00:39:45,640 --> 00:39:48,150
ensure that the only factual information
in a 3-hour podcast is spoken in a

2256
00:39:48,150 --> 00:39:48,160
in a 3-hour podcast is spoken in a
 

2257
00:39:48,160 --> 00:39:50,230
in a 3-hour podcast is spoken in a
sarcastic tone and brushed aside with

2258
00:39:50,230 --> 00:39:50,240
sarcastic tone and brushed aside with
 

2259
00:39:50,240 --> 00:39:52,950
sarcastic tone and brushed aside with
zero basis. How is this so hard to

2260
00:39:52,950 --> 00:39:52,960
zero basis. How is this so hard to
 

2261
00:39:52,960 --> 00:39:55,470
zero basis. How is this so hard to
understand for people? Only severely

2262
00:39:55,470 --> 00:39:55,480
understand for people? Only severely
 

2263
00:39:55,480 --> 00:39:57,390
understand for people? Only severely
autistic kids were diagnosed in the

2264
00:39:57,390 --> 00:39:57,400
autistic kids were diagnosed in the
 

2265
00:39:57,400 --> 00:40:00,150
autistic kids were diagnosed in the
past. Now autism is recognized as a

2266
00:40:00,150 --> 00:40:00,160
past. Now autism is recognized as a
 

2267
00:40:00,160 --> 00:40:02,310
past. Now autism is recognized as a
spectrum disorder and children with

2268
00:40:02,310 --> 00:40:02,320
spectrum disorder and children with
 

2269
00:40:02,320 --> 00:40:04,630
spectrum disorder and children with
level one and two autism are diagnosed

2270
00:40:04,630 --> 00:40:04,640
level one and two autism are diagnosed
 

2271
00:40:04,640 --> 00:40:06,870
level one and two autism are diagnosed
that would not have been even 20 years

2272
00:40:06,870 --> 00:40:06,880
that would not have been even 20 years
 

2273
00:40:06,880 --> 00:40:10,870
that would not have been even 20 years
ago. So so so many adults are autistic

2274
00:40:10,870 --> 00:40:10,880
ago. So so so many adults are autistic
 

2275
00:40:10,880 --> 00:40:13,350
ago. So so so many adults are autistic
that were not diagnosed as autistic. Get

2276
00:40:13,350 --> 00:40:13,360
that were not diagnosed as autistic. Get
 

2277
00:40:13,360 --> 00:40:17,350
that were not diagnosed as autistic. Get
over it. The notion that autism is just

2278
00:40:17,350 --> 00:40:17,360
over it. The notion that autism is just
 

2279
00:40:17,360 --> 00:40:19,590
over it. The notion that autism is just
better diagnosed and that's the only

2280
00:40:19,590 --> 00:40:19,600
better diagnosed and that's the only
 

2281
00:40:19,600 --> 00:40:22,990
better diagnosed and that's the only
reason for the increase is um

2282
00:40:22,990 --> 00:40:23,000
reason for the increase is um
 

2283
00:40:23,000 --> 00:40:24,030
reason for the increase is um
I don't know a better word for it. I'm

2284
00:40:24,030 --> 00:40:24,040
I don't know a better word for it. I'm
 

2285
00:40:24,040 --> 00:40:26,790
I don't know a better word for it. I'm
going to say nonsense, okay? Um uh

2286
00:40:26,790 --> 00:40:26,800
going to say nonsense, okay? Um uh
 

2287
00:40:26,800 --> 00:40:29,350
going to say nonsense, okay? Um uh
even if you look at the cuz they've

2288
00:40:29,350 --> 00:40:29,360
even if you look at the cuz they've
 

2289
00:40:29,360 --> 00:40:31,310
even if you look at the cuz they've
changed the DSM-5, which is what we're

2290
00:40:31,310 --> 00:40:31,320
changed the DSM-5, which is what we're
 

2291
00:40:31,320 --> 00:40:34,190
changed the DSM-5, which is what we're
up to, the diagnostic manual that is the

2292
00:40:34,190 --> 00:40:34,200
up to, the diagnostic manual that is the
 

2293
00:40:34,200 --> 00:40:35,590
up to, the diagnostic manual that is the
uh

2294
00:40:35,590 --> 00:40:35,600
uh
 

2295
00:40:35,600 --> 00:40:38,350
uh
the psychiatric manual that has the

2296
00:40:38,350 --> 00:40:38,360
the psychiatric manual that has the
 

2297
00:40:38,360 --> 00:40:40,230
the psychiatric manual that has the
criteria for diagnosing autism. It has

2298
00:40:40,230 --> 00:40:40,240
criteria for diagnosing autism. It has
 

2299
00:40:40,240 --> 00:40:42,350
criteria for diagnosing autism. It has
changed over time. But when you even

2300
00:40:42,350 --> 00:40:42,360
changed over time. But when you even
 

2301
00:40:42,360 --> 00:40:44,990
changed over time. But when you even
just look at severe autism, just severe

2302
00:40:44,990 --> 00:40:45,000
just look at severe autism, just severe
 

2303
00:40:45,000 --> 00:40:47,350
just look at severe autism, just severe
autism, which California has a very good

2304
00:40:47,350 --> 00:40:47,360
autism, which California has a very good
 

2305
00:40:47,360 --> 00:40:48,790
autism, which California has a very good
data on,

2306
00:40:48,790 --> 00:40:48,800
data on,
 

2307
00:40:48,800 --> 00:40:50,870
data on,
from the '70s and onward into today,

2308
00:40:50,870 --> 00:40:50,880
from the '70s and onward into today,
 

2309
00:40:50,880 --> 00:40:53,510
from the '70s and onward into today,
it's exploded, okay? So that the notion

2310
00:40:53,510 --> 00:40:53,520
it's exploded, okay? So that the notion
 

2311
00:40:53,520 --> 00:40:55,830
it's exploded, okay? So that the notion
that we just have better diagnoses is

2312
00:40:55,830 --> 00:40:55,840
that we just have better diagnoses is
 

2313
00:40:55,840 --> 00:40:58,190
that we just have better diagnoses is
not a serious point. He's literally

2314
00:40:58,190 --> 00:40:58,200
not a serious point. He's literally
 

2315
00:40:58,200 --> 00:41:00,630
not a serious point. He's literally
citing the changes to the DSM-5 that

2316
00:41:00,630 --> 00:41:00,640
citing the changes to the DSM-5 that
 

2317
00:41:00,640 --> 00:41:02,830
citing the changes to the DSM-5 that
completely altered the way autism is

2318
00:41:02,830 --> 00:41:02,840
completely altered the way autism is
 

2319
00:41:02,840 --> 00:41:04,870
completely altered the way autism is
diagnosed and then just scoffing to

2320
00:41:04,870 --> 00:41:04,880
diagnosed and then just scoffing to
 

2321
00:41:04,880 --> 00:41:07,030
diagnosed and then just scoffing to
himself. Everyone who was said to have

2322
00:41:07,030 --> 00:41:07,040
himself. Everyone who was said to have
 

2323
00:41:07,040 --> 00:41:09,790
himself. Everyone who was said to have
Asperger's became autistic overnight due

2324
00:41:09,790 --> 00:41:09,800
Asperger's became autistic overnight due
 

2325
00:41:09,800 --> 00:41:13,070
Asperger's became autistic overnight due
to the change in definition, ASD, autism

2326
00:41:13,070 --> 00:41:13,080
to the change in definition, ASD, autism
 

2327
00:41:13,080 --> 00:41:15,590
to the change in definition, ASD, autism
spectrum disorder. Cases of severe

2328
00:41:15,590 --> 00:41:15,600
spectrum disorder. Cases of severe
 

2329
00:41:15,600 --> 00:41:17,670
spectrum disorder. Cases of severe
autism have also risen a bit, but they

2330
00:41:17,670 --> 00:41:17,680
autism have also risen a bit, but they
 

2331
00:41:17,680 --> 00:41:20,030
autism have also risen a bit, but they
haven't exploded like he claims. It

2332
00:41:20,030 --> 00:41:20,040
haven't exploded like he claims. It
 

2333
00:41:20,040 --> 00:41:21,990
haven't exploded like he claims. It
can't be more transparent that he is

2334
00:41:21,990 --> 00:41:22,000
can't be more transparent that he is
 

2335
00:41:22,000 --> 00:41:23,830
can't be more transparent that he is
operating in bad faith. And I'll tell

2336
00:41:23,830 --> 00:41:23,840
operating in bad faith. And I'll tell
 

2337
00:41:23,840 --> 00:41:26,550
operating in bad faith. And I'll tell
you this about the Amish community.

2338
00:41:26,550 --> 00:41:26,560
you this about the Amish community.
 

2339
00:41:26,560 --> 00:41:29,110
you this about the Amish community.
They don't have phones.

2340
00:41:29,110 --> 00:41:29,120
They don't have phones.
 

2341
00:41:29,120 --> 00:41:31,230
They don't have phones.
Not not not not the not you know,

2342
00:41:31,230 --> 00:41:31,240
Not not not not the not you know,
 

2343
00:41:31,240 --> 00:41:33,110
Not not not not the not you know,
smartphones.

2344
00:41:33,110 --> 00:41:33,120
smartphones.
 

2345
00:41:33,120 --> 00:41:34,630
smartphones.
They have old school phones, some of

2346
00:41:34,630 --> 00:41:34,640
They have old school phones, some of
 

2347
00:41:34,640 --> 00:41:37,550
They have old school phones, some of
them. They don't have TVs.

2348
00:41:37,550 --> 00:41:37,560
them. They don't have TVs.
 

2349
00:41:37,560 --> 00:41:39,590
them. They don't have TVs.
When they're with their kids,

2350
00:41:39,590 --> 00:41:39,600
When they're with their kids,
 

2351
00:41:39,600 --> 00:41:41,310
When they're with their kids,
they're with their kids.

2352
00:41:41,310 --> 00:41:41,320
they're with their kids.
 

2353
00:41:41,320 --> 00:41:42,310
they're with their kids.
When they're there at the end of the

2354
00:41:42,310 --> 00:41:42,320
When they're there at the end of the
 

2355
00:41:42,320 --> 00:41:44,910
When they're there at the end of the
day, they really are are so much more in

2356
00:41:44,910 --> 00:41:44,920
day, they really are are so much more in
 

2357
00:41:44,920 --> 00:41:46,710
day, they really are are so much more in
tune. When I spend time with them and

2358
00:41:46,710 --> 00:41:46,720
tune. When I spend time with them and
 

2359
00:41:46,720 --> 00:41:47,910
tune. When I spend time with them and
when I went up there, I mean, it's

2360
00:41:47,910 --> 00:41:47,920
when I went up there, I mean, it's
 

2361
00:41:47,920 --> 00:41:51,470
when I went up there, I mean, it's
incredible, you know? You we have lost

2362
00:41:51,470 --> 00:41:51,480
incredible, you know? You we have lost
 

2363
00:41:51,480 --> 00:41:53,910
incredible, you know? You we have lost
it's a hard thing to experience, maybe

2364
00:41:53,910 --> 00:41:53,920
it's a hard thing to experience, maybe
 

2365
00:41:53,920 --> 00:41:56,110
it's a hard thing to experience, maybe
for for somebody who keeps like

2366
00:41:56,110 --> 00:41:56,120
for for somebody who keeps like
 

2367
00:41:56,120 --> 00:41:57,350
for for somebody who keeps like
Maybe the closest thing I think of was

2368
00:41:57,350 --> 00:41:57,360
Maybe the closest thing I think of was
 

2369
00:41:57,360 --> 00:41:59,030
Maybe the closest thing I think of was
like those who observe the Sabbath

2370
00:41:59,030 --> 00:41:59,040
like those who observe the Sabbath
 

2371
00:41:59,040 --> 00:42:00,550
like those who observe the Sabbath
biblically, you know? So they're just

2372
00:42:00,550 --> 00:42:00,560
biblically, you know? So they're just
 

2373
00:42:00,560 --> 00:42:01,870
biblically, you know? So they're just
they're just totally locked in. They

2374
00:42:01,870 --> 00:42:01,880
they're just totally locked in. They
 

2375
00:42:01,880 --> 00:42:03,870
they're just totally locked in. They
lock in with their families for a day or

2376
00:42:03,870 --> 00:42:03,880
lock in with their families for a day or
 

2377
00:42:03,880 --> 00:42:05,870
lock in with their families for a day or
so or things like that. And so they're

2378
00:42:05,870 --> 00:42:05,880
so or things like that. And so they're
 

2379
00:42:05,880 --> 00:42:07,510
so or things like that. And so they're
very in tune with their kids. They know

2380
00:42:07,510 --> 00:42:07,520
very in tune with their kids. They know
 

2381
00:42:07,520 --> 00:42:09,510
very in tune with their kids. They know
if those kids have health issues. Wow,

2382
00:42:09,510 --> 00:42:09,520
if those kids have health issues. Wow,
 

2383
00:42:09,520 --> 00:42:11,550
if those kids have health issues. Wow,
the Amish are so super amazing and

2384
00:42:11,550 --> 00:42:11,560
the Amish are so super amazing and
 

2385
00:42:11,560 --> 00:42:12,950
the Amish are so super amazing and
better than everyone else because no

2386
00:42:12,950 --> 00:42:12,960
better than everyone else because no
 

2387
00:42:12,960 --> 00:42:14,790
better than everyone else because no
screens and they sit with their kids.

2388
00:42:14,790 --> 00:42:14,800
screens and they sit with their kids.
 

2389
00:42:14,800 --> 00:42:17,550
screens and they sit with their kids.
Then go be Amish, [\h__\h] No, Amish

2390
00:42:17,550 --> 00:42:17,560
Then go be Amish, [\h__\h] No, Amish
 

2391
00:42:17,560 --> 00:42:19,670
Then go be Amish, [\h__\h] No, Amish
people aren't magic wizards that are

2392
00:42:19,670 --> 00:42:19,680
people aren't magic wizards that are
 

2393
00:42:19,680 --> 00:42:21,590
people aren't magic wizards that are
able to diagnose medical issues in their

2394
00:42:21,590 --> 00:42:21,600
able to diagnose medical issues in their
 

2395
00:42:21,600 --> 00:42:23,470
able to diagnose medical issues in their
children without any relevant training

2396
00:42:23,470 --> 00:42:23,480
children without any relevant training
 

2397
00:42:23,480 --> 00:42:25,750
children without any relevant training
or equipment. You're an idiot. What you

2398
00:42:25,750 --> 00:42:25,760
or equipment. You're an idiot. What you
 

2399
00:42:25,760 --> 00:42:27,710
or equipment. You're an idiot. What you
find

2400
00:42:27,710 --> 00:42:27,720
find
 

2401
00:42:27,720 --> 00:42:30,510
find
in the peer-review literature is that 40

2402
00:42:30,510 --> 00:42:30,520
in the peer-review literature is that 40
 

2403
00:42:30,520 --> 00:42:33,630
in the peer-review literature is that 40
to 70% of parents of a child with autism

2404
00:42:33,630 --> 00:42:33,640
to 70% of parents of a child with autism
 

2405
00:42:33,640 --> 00:42:36,350
to 70% of parents of a child with autism
report still report

2406
00:42:36,350 --> 00:42:36,360
report still report
 

2407
00:42:36,360 --> 00:42:38,270
report still report
that they believe vaccines cause their

2408
00:42:38,270 --> 00:42:38,280
that they believe vaccines cause their
 

2409
00:42:38,280 --> 00:42:39,590
that they believe vaccines cause their
child's autism.

2410
00:42:39,590 --> 00:42:39,600
child's autism.
 

2411
00:42:39,600 --> 00:42:42,030
child's autism.
Okay? 40 to 70%. That's after how much

2412
00:42:42,030 --> 00:42:42,040
Okay? 40 to 70%. That's after how much
 

2413
00:42:42,040 --> 00:42:44,150
Okay? 40 to 70%. That's after how much
billions of dollars to try to tell them

2414
00:42:44,150 --> 00:42:44,160
billions of dollars to try to tell them
 

2415
00:42:44,160 --> 00:42:46,630
billions of dollars to try to tell them
and gaslight them and convince them

2416
00:42:46,630 --> 00:42:46,640
and gaslight them and convince them
 

2417
00:42:46,640 --> 00:42:48,790
and gaslight them and convince them
that it's not that vaccines don't cause

2418
00:42:48,790 --> 00:42:48,800
that it's not that vaccines don't cause
 

2419
00:42:48,800 --> 00:42:51,870
that it's not that vaccines don't cause
autism. Yes, no matter how much parents

2420
00:42:51,870 --> 00:42:51,880
autism. Yes, no matter how much parents
 

2421
00:42:51,880 --> 00:42:54,030
autism. Yes, no matter how much parents
are told that vaccines don't cause

2422
00:42:54,030 --> 00:42:54,040
are told that vaccines don't cause
 

2423
00:42:54,040 --> 00:42:56,670
are told that vaccines don't cause
autism, since they [\h__\h] don't, they

2424
00:42:56,670 --> 00:42:56,680
autism, since they [\h__\h] don't, they
 

2425
00:42:56,680 --> 00:42:58,790
autism, since they [\h__\h] don't, they
still believe it because of worthless

2426
00:42:58,790 --> 00:42:58,800
still believe it because of worthless
 

2427
00:42:58,800 --> 00:43:00,910
still believe it because of worthless
propaganda-peddling pieces of [\h__\h] like

2428
00:43:00,910 --> 00:43:00,920
propaganda-peddling pieces of [\h__\h] like
 

2429
00:43:00,920 --> 00:43:03,430
propaganda-peddling pieces of [\h__\h] like
you who fill their heads with lies. Epic

2430
00:43:03,430 --> 00:43:03,440
you who fill their heads with lies. Epic
 

2431
00:43:03,440 --> 00:43:06,750
you who fill their heads with lies. Epic
self-own, [\h__\h] And so on behalf of

2432
00:43:06,750 --> 00:43:06,760
self-own, [\h__\h] And so on behalf of
 

2433
00:43:06,760 --> 00:43:08,070
self-own, [\h__\h] And so on behalf of
ICAN, which is the Informed Consent

2434
00:43:08,070 --> 00:43:08,080
ICAN, which is the Informed Consent
 

2435
00:43:08,080 --> 00:43:09,430
ICAN, which is the Informed Consent
Action Network nonprofit that our law

2436
00:43:09,430 --> 00:43:09,440
Action Network nonprofit that our law
 

2437
00:43:09,440 --> 00:43:11,070
Action Network nonprofit that our law
firm represents,

2438
00:43:11,070 --> 00:43:11,080
firm represents,
 

2439
00:43:11,080 --> 00:43:13,750
firm represents,
we sent a Freedom of Information Act

2440
00:43:13,750 --> 00:43:13,760
we sent a Freedom of Information Act
 

2441
00:43:13,760 --> 00:43:15,950
we sent a Freedom of Information Act
request, FOIA request,

2442
00:43:15,950 --> 00:43:15,960
request, FOIA request,
 

2443
00:43:15,960 --> 00:43:18,110
request, FOIA request,
to the CDC and we said, "Hey,

2444
00:43:18,110 --> 00:43:18,120
to the CDC and we said, "Hey,
 

2445
00:43:18,120 --> 00:43:20,110
to the CDC and we said, "Hey,
your website says vaccines do not cause

2446
00:43:20,110 --> 00:43:20,120
your website says vaccines do not cause
 

2447
00:43:20,120 --> 00:43:22,830
your website says vaccines do not cause
autism. Great. Please give us the

2448
00:43:22,830 --> 00:43:22,840
autism. Great. Please give us the
 

2449
00:43:22,840 --> 00:43:25,830
autism. Great. Please give us the
studies that show that hep B vaccine

2450
00:43:25,830 --> 00:43:25,840
studies that show that hep B vaccine
 

2451
00:43:25,840 --> 00:43:27,150
studies that show that hep B vaccine
given three times in the first six

2452
00:43:27,150 --> 00:43:27,160
given three times in the first six
 

2453
00:43:27,160 --> 00:43:29,670
given three times in the first six
months of life do not cause autism.

2454
00:43:29,670 --> 00:43:29,680
months of life do not cause autism.
 

2455
00:43:29,680 --> 00:43:31,550
months of life do not cause autism.
Please give us the studies that show

2456
00:43:31,550 --> 00:43:31,560
Please give us the studies that show
 

2457
00:43:31,560 --> 00:43:33,390
Please give us the studies that show
that DTaP vaccine given three times in

2458
00:43:33,390 --> 00:43:33,400
that DTaP vaccine given three times in
 

2459
00:43:33,400 --> 00:43:34,510
that DTaP vaccine given three times in
the first six months of life do not

2460
00:43:34,510 --> 00:43:34,520
the first six months of life do not
 

2461
00:43:34,520 --> 00:43:35,750
the first six months of life do not
cause autism.

2462
00:43:35,750 --> 00:43:35,760
cause autism.
 

2463
00:43:35,760 --> 00:43:37,990
cause autism.
Same thing for IPV vaccine.

2464
00:43:37,990 --> 00:43:38,000
Same thing for IPV vaccine.
 

2465
00:43:38,000 --> 00:43:40,910
Same thing for IPV vaccine.
For PCV vaccine.

2466
00:43:40,910 --> 00:43:40,920
For PCV vaccine.
 

2467
00:43:40,920 --> 00:43:42,630
For PCV vaccine.
And for

2468
00:43:42,630 --> 00:43:42,640
And for
 

2469
00:43:42,640 --> 00:43:44,590
And for
uh um

2470
00:43:44,590 --> 00:43:44,600
uh um
 

2471
00:43:44,600 --> 00:43:46,870
uh um
Hib vaccine, okay? Each one of those

2472
00:43:46,870 --> 00:43:46,880
Hib vaccine, okay? Each one of those
 

2473
00:43:46,880 --> 00:43:48,910
Hib vaccine, okay? Each one of those
vaccines is given three times each in

2474
00:43:48,910 --> 00:43:48,920
vaccines is given three times each in
 

2475
00:43:48,920 --> 00:43:50,870
vaccines is given three times each in
the first six months of life. 15

2476
00:43:50,870 --> 00:43:50,880
the first six months of life. 15
 

2477
00:43:50,880 --> 00:43:52,590
the first six months of life. 15
injections.

2478
00:43:52,590 --> 00:43:52,600
injections.
 

2479
00:43:52,600 --> 00:43:53,590
injections.
Okay?

2480
00:43:53,590 --> 00:43:53,600
Okay?
 

2481
00:43:53,600 --> 00:43:54,910
Okay?
Okay.

2482
00:43:54,910 --> 00:43:54,920
Okay.
 

2483
00:43:54,920 --> 00:43:56,830
Okay.
You say vaccines don't cause autism.

2484
00:43:56,830 --> 00:43:56,840
You say vaccines don't cause autism.
 

2485
00:43:56,840 --> 00:44:00,070
You say vaccines don't cause autism.
These parents are saying these vaccines

2486
00:44:00,070 --> 00:44:00,080
These parents are saying these vaccines
 

2487
00:44:00,080 --> 00:44:02,430
These parents are saying these vaccines
cause their child's autism.

2488
00:44:02,430 --> 00:44:02,440
cause their child's autism.
 

2489
00:44:02,440 --> 00:44:05,430
cause their child's autism.
Provide us the studies. Holy [\h__\h] 15

2490
00:44:05,430 --> 00:44:05,440
Provide us the studies. Holy [\h__\h] 15
 

2491
00:44:05,440 --> 00:44:07,590
Provide us the studies. Holy [\h__\h] 15
shots. Dumb parents insist that their

2492
00:44:07,590 --> 00:44:07,600
shots. Dumb parents insist that their
 

2493
00:44:07,600 --> 00:44:09,830
shots. Dumb parents insist that their
kids caught the autism from vaccines

2494
00:44:09,830 --> 00:44:09,840
kids caught the autism from vaccines
 

2495
00:44:09,840 --> 00:44:11,590
kids caught the autism from vaccines
because of whichever other Joe Rogan

2496
00:44:11,590 --> 00:44:11,600
because of whichever other Joe Rogan
 

2497
00:44:11,600 --> 00:44:13,349
because of whichever other Joe Rogan
guest they fell for. So give me the

2498
00:44:13,349 --> 00:44:13,359
guest they fell for. So give me the
 

2499
00:44:13,359 --> 00:44:15,830
guest they fell for. So give me the
studies that prove these vaccines don't

2500
00:44:15,830 --> 00:44:15,840
studies that prove these vaccines don't
 

2501
00:44:15,840 --> 00:44:18,590
studies that prove these vaccines don't
cause autism and make sure to prove it

2502
00:44:18,590 --> 00:44:18,600
cause autism and make sure to prove it
 

2503
00:44:18,600 --> 00:44:20,150
cause autism and make sure to prove it
in the very rigid and narrow manner

2504
00:44:20,150 --> 00:44:20,160
in the very rigid and narrow manner
 

2505
00:44:20,160 --> 00:44:22,790
in the very rigid and narrow manner
stipulated by this FOIA request that is

2506
00:44:22,790 --> 00:44:22,800
stipulated by this FOIA request that is
 

2507
00:44:22,800 --> 00:44:24,390
stipulated by this FOIA request that is
not reflective of actual scientific

2508
00:44:24,390 --> 00:44:24,400
not reflective of actual scientific
 

2509
00:44:24,400 --> 00:44:25,870
not reflective of actual scientific
evidence in the slightest and is

2510
00:44:25,870 --> 00:44:25,880
evidence in the slightest and is
 

2511
00:44:25,880 --> 00:44:27,510
evidence in the slightest and is
specifically engineered to result in

2512
00:44:27,510 --> 00:44:27,520
specifically engineered to result in
 

2513
00:44:27,520 --> 00:44:30,190
specifically engineered to result in
failure. More shifty lawyer tactics.

2514
00:44:30,190 --> 00:44:30,200
failure. More shifty lawyer tactics.
 

2515
00:44:30,200 --> 00:44:31,750
failure. More shifty lawyer tactics.
This is about manipulating burden of

2516
00:44:31,750 --> 00:44:31,760
This is about manipulating burden of
 

2517
00:44:31,760 --> 00:44:33,550
This is about manipulating burden of
proof, not scientific evidence. They

2518
00:44:33,550 --> 00:44:33,560
proof, not scientific evidence. They
 

2519
00:44:33,560 --> 00:44:35,630
proof, not scientific evidence. They
never gave us the studies.

2520
00:44:35,630 --> 00:44:35,640
never gave us the studies.
 

2521
00:44:35,640 --> 00:44:37,030
never gave us the studies.
I sued them in federal court. I didn't

2522
00:44:37,030 --> 00:44:37,040
I sued them in federal court. I didn't
 

2523
00:44:37,040 --> 00:44:38,470
I sued them in federal court. I didn't
go to Texas. I sued them in Southern

2524
00:44:38,470 --> 00:44:38,480
go to Texas. I sued them in Southern
 

2525
00:44:38,480 --> 00:44:39,830
go to Texas. I sued them in Southern
District of New York, okay? Not the

2526
00:44:39,830 --> 00:44:39,840
District of New York, okay? Not the
 

2527
00:44:39,840 --> 00:44:41,510
District of New York, okay? Not the
friendliest territory to bring that kind

2528
00:44:41,510 --> 00:44:41,520
friendliest territory to bring that kind
 

2529
00:44:41,520 --> 00:44:44,390
friendliest territory to bring that kind
of lawsuit, okay?

2530
00:44:44,390 --> 00:44:44,400
of lawsuit, okay?
 

2531
00:44:44,400 --> 00:44:46,710
of lawsuit, okay?
Days before the hearing,

2532
00:44:46,710 --> 00:44:46,720
Days before the hearing,
 

2533
00:44:46,720 --> 00:44:49,750
Days before the hearing,
I get a a list of 20 studies finally

2534
00:44:49,750 --> 00:44:49,760
I get a a list of 20 studies finally
 

2535
00:44:49,760 --> 00:44:51,670
I get a a list of 20 studies finally
from also from the DOJ cuz they

2536
00:44:51,670 --> 00:44:51,680
from also from the DOJ cuz they
 

2537
00:44:51,680 --> 00:44:54,710
from also from the DOJ cuz they
represent the CDC, okay?

2538
00:44:54,710 --> 00:44:54,720
represent the CDC, okay?
 

2539
00:44:54,720 --> 00:44:56,950
represent the CDC, okay?
Maybe they think I don't read.

2540
00:44:56,950 --> 00:44:56,960
Maybe they think I don't read.
 

2541
00:44:56,960 --> 00:44:58,750
Maybe they think I don't read.
So I looked at the 20 studies.

2542
00:44:58,750 --> 00:44:58,760
So I looked at the 20 studies.
 

2543
00:44:58,760 --> 00:45:00,070
So I looked at the 20 studies.
I read them.

2544
00:45:00,070 --> 00:45:00,080
I read them.
 

2545
00:45:00,080 --> 00:45:02,030
I read them.
19 of them

2546
00:45:02,030 --> 00:45:02,040
19 of them
 

2547
00:45:02,040 --> 00:45:03,590
19 of them
have nothing to do with the vaccines

2548
00:45:03,590 --> 00:45:03,600
have nothing to do with the vaccines
 

2549
00:45:03,600 --> 00:45:05,710
have nothing to do with the vaccines
given in the first six months of life.

2550
00:45:05,710 --> 00:45:05,720
given in the first six months of life.
 

2551
00:45:05,720 --> 00:45:08,470
given in the first six months of life.
They were all either MMR studies

2552
00:45:08,470 --> 00:45:08,480
They were all either MMR studies
 

2553
00:45:08,480 --> 00:45:09,870
They were all either MMR studies
or studies of an ingredient that wasn't

2554
00:45:09,870 --> 00:45:09,880
or studies of an ingredient that wasn't
 

2555
00:45:09,880 --> 00:45:12,790
or studies of an ingredient that wasn't
in those vaccines. One of them

2556
00:45:12,790 --> 00:45:12,800
in those vaccines. One of them
 

2557
00:45:12,800 --> 00:45:16,190
in those vaccines. One of them
was an Institute of Medicine review

2558
00:45:16,190 --> 00:45:16,200
was an Institute of Medicine review
 

2559
00:45:16,200 --> 00:45:18,470
was an Institute of Medicine review
from 2012 that canvassed all the

2560
00:45:18,470 --> 00:45:18,480
from 2012 that canvassed all the
 

2561
00:45:18,480 --> 00:45:20,630
from 2012 that canvassed all the
literature on whether DTaP vaccine does

2562
00:45:20,630 --> 00:45:20,640
literature on whether DTaP vaccine does
 

2563
00:45:20,640 --> 00:45:22,750
literature on whether DTaP vaccine does
or does not cause autism

2564
00:45:22,750 --> 00:45:22,760
or does not cause autism
 

2565
00:45:22,760 --> 00:45:25,230
or does not cause autism
because the CDC and HRSA, which is the

2566
00:45:25,230 --> 00:45:25,240
because the CDC and HRSA, which is the
 

2567
00:45:25,240 --> 00:45:27,630
because the CDC and HRSA, which is the
agency in in HHS that fights vaccine

2568
00:45:27,630 --> 00:45:27,640
agency in in HHS that fights vaccine
 

2569
00:45:27,640 --> 00:45:29,349
agency in in HHS that fights vaccine
injury claims,

2570
00:45:29,349 --> 00:45:29,359
injury claims,
 

2571
00:45:29,359 --> 00:45:30,150
injury claims,
re-

2572
00:45:30,150 --> 00:45:30,160
re-
 

2573
00:45:30,160 --> 00:45:31,830
re-
asked the IOM to look at whether DTaP

2574
00:45:31,830 --> 00:45:31,840
asked the IOM to look at whether DTaP
 

2575
00:45:31,840 --> 00:45:33,790
asked the IOM to look at whether DTaP
causes autism because it remained one of

2576
00:45:33,790 --> 00:45:33,800
causes autism because it remained one of
 

2577
00:45:33,800 --> 00:45:35,070
causes autism because it remained one of
the most commonly claimed injuries

2578
00:45:35,070 --> 00:45:35,080
the most commonly claimed injuries
 

2579
00:45:35,080 --> 00:45:37,550
the most commonly claimed injuries
still, according to them,

2580
00:45:37,550 --> 00:45:37,560
still, according to them,
 

2581
00:45:37,560 --> 00:45:38,430
still, according to them,
okay?

2582
00:45:38,430 --> 00:45:38,440
okay?
 

2583
00:45:38,440 --> 00:45:40,310
okay?
And the Institute of Medicine would came

2584
00:45:40,310 --> 00:45:40,320
And the Institute of Medicine would came
 

2585
00:45:40,320 --> 00:45:41,750
And the Institute of Medicine would came
back and said, "We could only find one

2586
00:45:41,750 --> 00:45:41,760
back and said, "We could only find one
 

2587
00:45:41,760 --> 00:45:43,750
back and said, "We could only find one
study on DTaP and autism,

2588
00:45:43,750 --> 00:45:43,760
study on DTaP and autism,
 

2589
00:45:43,760 --> 00:45:46,349
study on DTaP and autism,
and in fact, it showed an association

2590
00:45:46,349 --> 00:45:46,359
and in fact, it showed an association
 

2591
00:45:46,359 --> 00:45:48,950
and in fact, it showed an association
between vaccine DTaP vaccine and autism,

2592
00:45:48,950 --> 00:45:48,960
between vaccine DTaP vaccine and autism,
 

2593
00:45:48,960 --> 00:45:50,270
between vaccine DTaP vaccine and autism,
but the IOM threw it out because it said

2594
00:45:50,270 --> 00:45:50,280
but the IOM threw it out because it said
 

2595
00:45:50,280 --> 00:45:51,790
but the IOM threw it out because it said
there's no unvaccinated control in it.

2596
00:45:51,790 --> 00:45:51,800
there's no unvaccinated control in it.
 

2597
00:45:51,800 --> 00:45:53,110
there's no unvaccinated control in it.
So they threw out the studies based on

2598
00:45:53,110 --> 00:45:53,120
So they threw out the studies based on
 

2599
00:45:53,120 --> 00:45:54,630
So they threw out the studies based on
various data, if you know what that is."

2600
00:45:54,630 --> 00:45:54,640
various data, if you know what that is."
 

2601
00:45:54,640 --> 00:45:56,270
various data, if you know what that is."
Well, that's a load of [\h__\h] He's

2602
00:45:56,270 --> 00:45:56,280
Well, that's a load of [\h__\h] He's
 

2603
00:45:56,280 --> 00:45:58,190
Well, that's a load of [\h__\h] He's
lying about not being provided studies

2604
00:45:58,190 --> 00:45:58,200
lying about not being provided studies
 

2605
00:45:58,200 --> 00:45:59,830
lying about not being provided studies
and he's lying about being able to read

2606
00:45:59,830 --> 00:45:59,840
and he's lying about being able to read
 

2607
00:45:59,840 --> 00:46:01,790
and he's lying about being able to read
the studies. Plenty of such studies

2608
00:46:01,790 --> 00:46:01,800
the studies. Plenty of such studies
 

2609
00:46:01,800 --> 00:46:04,430
the studies. Plenty of such studies
exist. These are large epidemiological

2610
00:46:04,430 --> 00:46:04,440
exist. These are large epidemiological
 

2611
00:46:04,440 --> 00:46:07,270
exist. These are large epidemiological
studies involving millions of children

2612
00:46:07,270 --> 00:46:07,280
studies involving millions of children
 

2613
00:46:07,280 --> 00:46:09,870
studies involving millions of children
that have repeatedly found no causal

2614
00:46:09,870 --> 00:46:09,880
that have repeatedly found no causal
 

2615
00:46:09,880 --> 00:46:12,070
that have repeatedly found no causal
link. Since I've debunked this point so

2616
00:46:12,070 --> 00:46:12,080
link. Since I've debunked this point so
 

2617
00:46:12,080 --> 00:46:14,310
link. Since I've debunked this point so
many times, I've shown papers like these

2618
00:46:14,310 --> 00:46:14,320
many times, I've shown papers like these
 

2619
00:46:14,320 --> 00:46:16,750
many times, I've shown papers like these
so many times, and here they are again.

2620
00:46:16,750 --> 00:46:16,760
so many times, and here they are again.
 

2621
00:46:16,760 --> 00:46:18,310
so many times, and here they are again.
I'll link to them in the description.

2622
00:46:18,310 --> 00:46:18,320
I'll link to them in the description.
 

2623
00:46:18,320 --> 00:46:20,070
I'll link to them in the description.
Every [\h__\h] year another one of these

2624
00:46:20,070 --> 00:46:20,080
Every [\h__\h] year another one of these
 

2625
00:46:20,080 --> 00:46:22,510
Every [\h__\h] year another one of these
pops up because no matter how many times

2626
00:46:22,510 --> 00:46:22,520
pops up because no matter how many times
 

2627
00:46:22,520 --> 00:46:24,590
pops up because no matter how many times
it's demonstrated that there is no

2628
00:46:24,590 --> 00:46:24,600
it's demonstrated that there is no
 

2629
00:46:24,600 --> 00:46:27,150
it's demonstrated that there is no
causal link between vaccines and autism,

2630
00:46:27,150 --> 00:46:27,160
causal link between vaccines and autism,
 

2631
00:46:27,160 --> 00:46:29,430
causal link between vaccines and autism,
more propaganda is shoved out to deny

2632
00:46:29,430 --> 00:46:29,440
more propaganda is shoved out to deny
 

2633
00:46:29,440 --> 00:46:31,990
more propaganda is shoved out to deny
this obvious fact and continue to demand

2634
00:46:31,990 --> 00:46:32,000
this obvious fact and continue to demand
 

2635
00:46:32,000 --> 00:46:34,030
this obvious fact and continue to demand
more evidence. How many more years of

2636
00:46:34,030 --> 00:46:34,040
more evidence. How many more years of
 

2637
00:46:34,040 --> 00:46:36,190
more evidence. How many more years of
this until the goalposts finally stop

2638
00:46:36,190 --> 00:46:36,200
this until the goalposts finally stop
 

2639
00:46:36,200 --> 00:46:38,750
this until the goalposts finally stop
moving and frauds like Aaron will accept

2640
00:46:38,750 --> 00:46:38,760
moving and frauds like Aaron will accept
 

2641
00:46:38,760 --> 00:46:40,630
moving and frauds like Aaron will accept
that it has been proven by any

2642
00:46:40,630 --> 00:46:40,640
that it has been proven by any
 

2643
00:46:40,640 --> 00:46:43,110
that it has been proven by any
reasonable expectation? Never, because

2644
00:46:43,110 --> 00:46:43,120
reasonable expectation? Never, because
 

2645
00:46:43,120 --> 00:46:44,990
reasonable expectation? Never, because
proof can mean whatever they want it to

2646
00:46:44,990 --> 00:46:45,000
proof can mean whatever they want it to
 

2647
00:46:45,000 --> 00:46:46,950
proof can mean whatever they want it to
mean in whichever latest document they

2648
00:46:46,950 --> 00:46:46,960
mean in whichever latest document they
 

2649
00:46:46,960 --> 00:46:48,710
mean in whichever latest document they
draft up, and they will evade the

2650
00:46:48,710 --> 00:46:48,720
draft up, and they will evade the
 

2651
00:46:48,720 --> 00:46:50,630
draft up, and they will evade the
legitimate scientific conclusions every

2652
00:46:50,630 --> 00:46:50,640
legitimate scientific conclusions every
 

2653
00:46:50,640 --> 00:46:52,670
legitimate scientific conclusions every
time. Then to push the opposite of

2654
00:46:52,670 --> 00:46:52,680
time. Then to push the opposite of
 

2655
00:46:52,680 --> 00:46:54,430
time. Then to push the opposite of
reality, they will cherry-pick a study

2656
00:46:54,430 --> 00:46:54,440
reality, they will cherry-pick a study
 

2657
00:46:54,440 --> 00:46:56,390
reality, they will cherry-pick a study
and distort its conclusions. Take the

2658
00:46:56,390 --> 00:46:56,400
and distort its conclusions. Take the
 

2659
00:46:56,400 --> 00:46:58,030
and distort its conclusions. Take the
one he's referencing about hep B from

2660
00:46:58,030 --> 00:46:58,040
one he's referencing about hep B from
 

2661
00:46:58,040 --> 00:47:00,230
one he's referencing about hep B from
2010 by Gallagher and Goodman. This

2662
00:47:00,230 --> 00:47:00,240
2010 by Gallagher and Goodman. This
 

2663
00:47:00,240 --> 00:47:02,190
2010 by Gallagher and Goodman. This
study is suspiciously small and doesn't

2664
00:47:02,190 --> 00:47:02,200
study is suspiciously small and doesn't
 

2665
00:47:02,200 --> 00:47:03,990
study is suspiciously small and doesn't
specify what confounding factors were

2666
00:47:03,990 --> 00:47:04,000
specify what confounding factors were
 

2667
00:47:04,000 --> 00:47:06,230
specify what confounding factors were
controlled. In the autism group, nine of

2668
00:47:06,230 --> 00:47:06,240
controlled. In the autism group, nine of
 

2669
00:47:06,240 --> 00:47:08,910
controlled. In the autism group, nine of
31, or 29%, were given the hep B

2670
00:47:08,910 --> 00:47:08,920
31, or 29%, were given the hep B
 

2671
00:47:08,920 --> 00:47:13,590
31, or 29%, were given the hep B
vaccine, compared to 1,258 of 7,455,

2672
00:47:13,590 --> 00:47:13,600
vaccine, compared to 1,258 of 7,455,
 

2673
00:47:13,600 --> 00:47:16,710
vaccine, compared to 1,258 of 7,455,
or 17%, in the non-autism group. This

2674
00:47:16,710 --> 00:47:16,720
or 17%, in the non-autism group. This
 

2675
00:47:16,720 --> 00:47:19,190
or 17%, in the non-autism group. This
does not demonstrate causation. The

2676
00:47:19,190 --> 00:47:19,200
does not demonstrate causation. The
 

2677
00:47:19,200 --> 00:47:21,390
does not demonstrate causation. The
study raised red flags and professionals

2678
00:47:21,390 --> 00:47:21,400
study raised red flags and professionals
 

2679
00:47:21,400 --> 00:47:23,670
study raised red flags and professionals
have expressed concerns on PubPeer. This

2680
00:47:23,670 --> 00:47:23,680
have expressed concerns on PubPeer. This
 

2681
00:47:23,680 --> 00:47:25,750
have expressed concerns on PubPeer. This
post outlines the weak study design,

2682
00:47:25,750 --> 00:47:25,760
post outlines the weak study design,
 

2683
00:47:25,760 --> 00:47:28,070
post outlines the weak study design,
small sample size, selective data use,

2684
00:47:28,070 --> 00:47:28,080
small sample size, selective data use,
 

2685
00:47:28,080 --> 00:47:29,870
small sample size, selective data use,
and temporal inconsistencies,

2686
00:47:29,870 --> 00:47:29,880
and temporal inconsistencies,
 

2687
00:47:29,880 --> 00:47:32,030
and temporal inconsistencies,
correlation misinterpretation, lack of

2688
00:47:32,030 --> 00:47:32,040
correlation misinterpretation, lack of
 

2689
00:47:32,040 --> 00:47:34,510
correlation misinterpretation, lack of
confounder adjustment, and more. This is

2690
00:47:34,510 --> 00:47:34,520
confounder adjustment, and more. This is
 

2691
00:47:34,520 --> 00:47:37,070
confounder adjustment, and more. This is
all that anti-vax frauds can do. Point

2692
00:47:37,070 --> 00:47:37,080
all that anti-vax frauds can do. Point
 

2693
00:47:37,080 --> 00:47:39,310
all that anti-vax frauds can do. Point
at one small study with methodological

2694
00:47:39,310 --> 00:47:39,320
at one small study with methodological
 

2695
00:47:39,320 --> 00:47:41,390
at one small study with methodological
flaws and pretend that it outweighs

2696
00:47:41,390 --> 00:47:41,400
flaws and pretend that it outweighs
 

2697
00:47:41,400 --> 00:47:44,390
flaws and pretend that it outweighs
dozens of much larger, much more robust,

2698
00:47:44,390 --> 00:47:44,400
dozens of much larger, much more robust,
 

2699
00:47:44,400 --> 00:47:46,670
dozens of much larger, much more robust,
well-controlled studies. The literature

2700
00:47:46,670 --> 00:47:46,680
well-controlled studies. The literature
 

2701
00:47:46,680 --> 00:47:49,110
well-controlled studies. The literature
overwhelmingly supports the notion that

2702
00:47:49,110 --> 00:47:49,120
overwhelmingly supports the notion that
 

2703
00:47:49,120 --> 00:47:52,550
overwhelmingly supports the notion that
vaccines do not cause autism. Anyone who

2704
00:47:52,550 --> 00:47:52,560
vaccines do not cause autism. Anyone who
 

2705
00:47:52,560 --> 00:47:54,630
vaccines do not cause autism. Anyone who
claims otherwise is being disingenuous

2706
00:47:54,630 --> 00:47:54,640
claims otherwise is being disingenuous
 

2707
00:47:54,640 --> 00:47:57,070
claims otherwise is being disingenuous
and deceptive. This is why Aaron relies

2708
00:47:57,070 --> 00:47:57,080
and deceptive. This is why Aaron relies
 

2709
00:47:57,080 --> 00:47:59,230
and deceptive. This is why Aaron relies
on his lawyer speak. All he proved is

2710
00:47:59,230 --> 00:47:59,240
on his lawyer speak. All he proved is
 

2711
00:47:59,240 --> 00:48:01,630
on his lawyer speak. All he proved is
that CDC could not satisfy a specific

2712
00:48:01,630 --> 00:48:01,640
that CDC could not satisfy a specific
 

2713
00:48:01,640 --> 00:48:04,670
that CDC could not satisfy a specific
legal request for proof of negative. It

2714
00:48:04,670 --> 00:48:04,680
legal request for proof of negative. It
 

2715
00:48:04,680 --> 00:48:06,070
legal request for proof of negative. It
does not overturn the mountain of

2716
00:48:06,070 --> 00:48:06,080
does not overturn the mountain of
 

2717
00:48:06,080 --> 00:48:07,990
does not overturn the mountain of
positive evidence from cohort and

2718
00:48:07,990 --> 00:48:08,000
positive evidence from cohort and
 

2719
00:48:08,000 --> 00:48:10,190
positive evidence from cohort and
case-control studies. It's shifty

2720
00:48:10,190 --> 00:48:10,200
case-control studies. It's shifty
 

2721
00:48:10,200 --> 00:48:12,310
case-control studies. It's shifty
lawyers doing shifty lawyer stuff.

2722
00:48:12,310 --> 00:48:12,320
lawyers doing shifty lawyer stuff.
 

2723
00:48:12,320 --> 00:48:14,750
lawyers doing shifty lawyer stuff.
Nothing more. When this narrative, which

2724
00:48:14,750 --> 00:48:14,760
Nothing more. When this narrative, which
 

2725
00:48:14,760 --> 00:48:17,710
Nothing more. When this narrative, which
you hear all the time on these panels,

2726
00:48:17,710 --> 00:48:17,720
you hear all the time on these panels,
 

2727
00:48:17,720 --> 00:48:20,510
you hear all the time on these panels,
on these news shows, "Vaccines do not

2728
00:48:20,510 --> 00:48:20,520
on these news shows, "Vaccines do not
 

2729
00:48:20,520 --> 00:48:23,830
on these news shows, "Vaccines do not
cause autism. That has been thoroughly

2730
00:48:23,830 --> 00:48:23,840
cause autism. That has been thoroughly
 

2731
00:48:23,840 --> 00:48:25,390
cause autism. That has been thoroughly
debunked."

2732
00:48:25,390 --> 00:48:25,400
debunked."
 

2733
00:48:25,400 --> 00:48:27,470
debunked."
Where's that come from? That comes from

2734
00:48:27,470 --> 00:48:27,480
Where's that come from? That comes from
 

2735
00:48:27,480 --> 00:48:29,510
Where's that come from? That comes from
a frustrated and exhausted scientific

2736
00:48:29,510 --> 00:48:29,520
a frustrated and exhausted scientific
 

2737
00:48:29,520 --> 00:48:31,390
a frustrated and exhausted scientific
community that knows the truth, has

2738
00:48:31,390 --> 00:48:31,400
community that knows the truth, has
 

2739
00:48:31,400 --> 00:48:33,710
community that knows the truth, has
spent decades relentlessly combating the

2740
00:48:33,710 --> 00:48:33,720
spent decades relentlessly combating the
 

2741
00:48:33,720 --> 00:48:35,349
spent decades relentlessly combating the
hydra that is vaccine-related

2742
00:48:35,349 --> 00:48:35,359
hydra that is vaccine-related
 

2743
00:48:35,359 --> 00:48:37,430
hydra that is vaccine-related
disinformation from frauds like Aaron,

2744
00:48:37,430 --> 00:48:37,440
disinformation from frauds like Aaron,
 

2745
00:48:37,440 --> 00:48:39,550
disinformation from frauds like Aaron,
Bobby, and a thousand others, and is

2746
00:48:39,550 --> 00:48:39,560
Bobby, and a thousand others, and is
 

2747
00:48:39,560 --> 00:48:41,349
Bobby, and a thousand others, and is
tired of trying to get it through your

2748
00:48:41,349 --> 00:48:41,359
tired of trying to get it through your
 

2749
00:48:41,359 --> 00:48:43,630
tired of trying to get it through your
thick skull, Joe. That's where it comes

2750
00:48:43,630 --> 00:48:43,640
thick skull, Joe. That's where it comes
 

2751
00:48:43,640 --> 00:48:46,550
thick skull, Joe. That's where it comes
from. When I came into this,

2752
00:48:46,550 --> 00:48:46,560
from. When I came into this,
 

2753
00:48:46,560 --> 00:48:47,470
from. When I came into this,
I would

2754
00:48:47,470 --> 00:48:47,480
I would
 

2755
00:48:47,480 --> 00:48:49,430
I would
Had you told me, "Yeah, they don't have

2756
00:48:49,430 --> 00:48:49,440
Had you told me, "Yeah, they don't have
 

2757
00:48:49,440 --> 00:48:50,950
Had you told me, "Yeah, they don't have
any studies that show vaccines don't

2758
00:48:50,950 --> 00:48:50,960
any studies that show vaccines don't
 

2759
00:48:50,960 --> 00:48:52,030
any studies that show vaccines don't
cause autism in the first six months of

2760
00:48:52,030 --> 00:48:52,040
cause autism in the first six months of
 

2761
00:48:52,040 --> 00:48:53,910
cause autism in the first six months of
life." I'd be like, "You're crazy. Get

2762
00:48:53,910 --> 00:48:53,920
life." I'd be like, "You're crazy. Get
 

2763
00:48:53,920 --> 00:48:54,990
life." I'd be like, "You're crazy. Get
out of here. They tell you it's

2764
00:48:54,990 --> 00:48:55,000
out of here. They tell you it's
 

2765
00:48:55,000 --> 00:48:57,910
out of here. They tell you it's
thoroughly debunked. Thoroughly studied.

2766
00:48:57,910 --> 00:48:57,920
thoroughly debunked. Thoroughly studied.
 

2767
00:48:57,920 --> 00:48:59,590
thoroughly debunked. Thoroughly studied.
The most studied thing ever. They have a

2768
00:48:59,590 --> 00:48:59,600
The most studied thing ever. They have a
 

2769
00:48:59,600 --> 00:49:01,070
The most studied thing ever. They have a
mountain of science, Joe. There's a

2770
00:49:01,070 --> 00:49:01,080
mountain of science, Joe. There's a
 

2771
00:49:01,080 --> 00:49:02,430
mountain of science, Joe. There's a
mountain of studies. You know how big it

2772
00:49:02,430 --> 00:49:02,440
mountain of studies. You know how big it
 

2773
00:49:02,440 --> 00:49:04,230
mountain of studies. You know how big it
is? It's so big, and you know what's on

2774
00:49:04,230 --> 00:49:04,240
is? It's so big, and you know what's on
 

2775
00:49:04,240 --> 00:49:05,910
is? It's so big, and you know what's on
top of that mountain? Another mountain

2776
00:49:05,910 --> 00:49:05,920
top of that mountain? Another mountain
 

2777
00:49:05,920 --> 00:49:07,510
top of that mountain? Another mountain
of studies. You know how much Another

2778
00:49:07,510 --> 00:49:07,520
of studies. You know how much Another
 

2779
00:49:07,520 --> 00:49:09,310
of studies. You know how much Another
mountain. There's so many studies.

2780
00:49:09,310 --> 00:49:09,320
mountain. There's so many studies.
 

2781
00:49:09,320 --> 00:49:11,270
mountain. There's so many studies.
They're drowning in studies that

2782
00:49:11,270 --> 00:49:11,280
They're drowning in studies that
 

2783
00:49:11,280 --> 00:49:13,349
They're drowning in studies that
vaccines don't cause autism.

2784
00:49:13,349 --> 00:49:13,359
vaccines don't cause autism.
 

2785
00:49:13,359 --> 00:49:15,750
vaccines don't cause autism.
But then when you demand it, not the

2786
00:49:15,750 --> 00:49:15,760
But then when you demand it, not the
 

2787
00:49:15,760 --> 00:49:18,470
But then when you demand it, not the
bullcrap that they say on TV, but you

2788
00:49:18,470 --> 00:49:18,480
bullcrap that they say on TV, but you
 

2789
00:49:18,480 --> 00:49:27,829
bullcrap that they say on TV, but you
actually demand it, that's the result.

2790
00:49:27,829 --> 00:49:27,839

 

2791
00:49:27,839 --> 00:49:37,470

>> [music]

2792
00:49:37,470 --> 00:49:37,480

 

2793
00:49:37,480 --> 00:49:39,150

>> But he sure does sound convincing when

2794
00:49:39,150 --> 00:49:39,160
>> But he sure does sound convincing when
 

2795
00:49:39,160 --> 00:49:41,190
>> But he sure does sound convincing when
he gets all riled up like that, huh?

2796
00:49:41,190 --> 00:49:41,200
he gets all riled up like that, huh?
 

2797
00:49:41,200 --> 00:49:42,790
he gets all riled up like that, huh?
Never underestimate the power of

2798
00:49:42,790 --> 00:49:42,800
Never underestimate the power of
 

2799
00:49:42,800 --> 00:49:45,230
Never underestimate the power of
pageantry and a good story. Anyway, we

2800
00:49:45,230 --> 00:49:45,240
pageantry and a good story. Anyway, we
 

2801
00:49:45,240 --> 00:49:47,350
pageantry and a good story. Anyway, we
can wrap things up here. To summarize,

2802
00:49:47,350 --> 00:49:47,360
can wrap things up here. To summarize,
 

2803
00:49:47,360 --> 00:49:49,390
can wrap things up here. To summarize,
Aaron Siri is a skilled litigator who

2804
00:49:49,390 --> 00:49:49,400
Aaron Siri is a skilled litigator who
 

2805
00:49:49,400 --> 00:49:50,630
Aaron Siri is a skilled litigator who
knows how to highlight legal

2806
00:49:50,630 --> 00:49:50,640
knows how to highlight legal
 

2807
00:49:50,640 --> 00:49:53,030
knows how to highlight legal
technicalities, court stipulations, and

2808
00:49:53,030 --> 00:49:53,040
technicalities, court stipulations, and
 

2809
00:49:53,040 --> 00:49:54,950
technicalities, court stipulations, and
historical mortality declines.

2810
00:49:54,950 --> 00:49:54,960
historical mortality declines.
 

2811
00:49:54,960 --> 00:49:56,910
historical mortality declines.
Basically, he knows how to selectively

2812
00:49:56,910 --> 00:49:56,920
Basically, he knows how to selectively
 

2813
00:49:56,920 --> 00:49:58,830
Basically, he knows how to selectively
present and distort facts to win court

2814
00:49:58,830 --> 00:49:58,840
present and distort facts to win court
 

2815
00:49:58,840 --> 00:50:00,790
present and distort facts to win court
cases. But when these points are

2816
00:50:00,790 --> 00:50:00,800
cases. But when these points are
 

2817
00:50:00,800 --> 00:50:03,150
cases. But when these points are
presented with full context, they just

2818
00:50:03,150 --> 00:50:03,160
presented with full context, they just
 

2819
00:50:03,160 --> 00:50:05,670
presented with full context, they just
do not hold up as evidence that vaccines

2820
00:50:05,670 --> 00:50:05,680
do not hold up as evidence that vaccines
 

2821
00:50:05,680 --> 00:50:07,630
do not hold up as evidence that vaccines
are uniquely unsafe or that the system

2822
00:50:07,630 --> 00:50:07,640
are uniquely unsafe or that the system
 

2823
00:50:07,640 --> 00:50:09,630
are uniquely unsafe or that the system
lacks accountability. Vaccines are one

2824
00:50:09,630 --> 00:50:09,640
lacks accountability. Vaccines are one
 

2825
00:50:09,640 --> 00:50:11,270
lacks accountability. Vaccines are one
of the most thoroughly studied medical

2826
00:50:11,270 --> 00:50:11,280
of the most thoroughly studied medical
 

2827
00:50:11,280 --> 00:50:13,590
of the most thoroughly studied medical
interventions in human history. Decades

2828
00:50:13,590 --> 00:50:13,600
interventions in human history. Decades
 

2829
00:50:13,600 --> 00:50:15,750
interventions in human history. Decades
upon decades of rigorously performed

2830
00:50:15,750 --> 00:50:15,760
upon decades of rigorously performed
 

2831
00:50:15,760 --> 00:50:18,190
upon decades of rigorously performed
research all over the world demonstrate

2832
00:50:18,190 --> 00:50:18,200
research all over the world demonstrate
 

2833
00:50:18,200 --> 00:50:20,190
research all over the world demonstrate
their safety. They aren't perfect,

2834
00:50:20,190 --> 00:50:20,200
their safety. They aren't perfect,
 

2835
00:50:20,200 --> 00:50:21,910
their safety. They aren't perfect,
nothing is, but the pre- and

2836
00:50:21,910 --> 00:50:21,920
nothing is, but the pre- and
 

2837
00:50:21,920 --> 00:50:24,390
nothing is, but the pre- and
post-licensure testing, the compensation

2838
00:50:24,390 --> 00:50:24,400
post-licensure testing, the compensation
 

2839
00:50:24,400 --> 00:50:25,910
post-licensure testing, the compensation
program, and a mountain of

2840
00:50:25,910 --> 00:50:25,920
program, and a mountain of
 

2841
00:50:25,920 --> 00:50:28,030
program, and a mountain of
population-level data demonstrate that

2842
00:50:28,030 --> 00:50:28,040
population-level data demonstrate that
 

2843
00:50:28,040 --> 00:50:29,870
population-level data demonstrate that
they prevent far more harm than they

2844
00:50:29,870 --> 00:50:29,880
they prevent far more harm than they
 

2845
00:50:29,880 --> 00:50:32,350
they prevent far more harm than they
cause by several orders of magnitude.

2846
00:50:32,350 --> 00:50:32,360
cause by several orders of magnitude.
 

2847
00:50:32,360 --> 00:50:34,350
cause by several orders of magnitude.
The childhood vaccine schedule exists

2848
00:50:34,350 --> 00:50:34,360
The childhood vaccine schedule exists
 

2849
00:50:34,360 --> 00:50:36,110
The childhood vaccine schedule exists
because diseases like measles,

2850
00:50:36,110 --> 00:50:36,120
because diseases like measles,
 

2851
00:50:36,120 --> 00:50:38,390
because diseases like measles,
pertussis, pneumococcal infection, and

2852
00:50:38,390 --> 00:50:38,400
pertussis, pneumococcal infection, and
 

2853
00:50:38,400 --> 00:50:40,870
pertussis, pneumococcal infection, and
many others used to kill or disable

2854
00:50:40,870 --> 00:50:40,880
many others used to kill or disable
 

2855
00:50:40,880 --> 00:50:42,830
many others used to kill or disable
thousands of American children every

2856
00:50:42,830 --> 00:50:42,840
thousands of American children every
 

2857
00:50:42,840 --> 00:50:44,990
thousands of American children every
year. Our ability to prevent infection

2858
00:50:44,990 --> 00:50:45,000
year. Our ability to prevent infection
 

2859
00:50:45,000 --> 00:50:47,310
year. Our ability to prevent infection
by deadly pathogens is the single most

2860
00:50:47,310 --> 00:50:47,320
by deadly pathogens is the single most
 

2861
00:50:47,320 --> 00:50:49,510
by deadly pathogens is the single most
astounding achievement in human history.

2862
00:50:49,510 --> 00:50:49,520
astounding achievement in human history.
 

2863
00:50:49,520 --> 00:50:51,150
astounding achievement in human history.
So, when the public starts rejecting

2864
00:50:51,150 --> 00:50:51,160
So, when the public starts rejecting
 

2865
00:50:51,160 --> 00:50:53,070
So, when the public starts rejecting
them in huge numbers, what can we say

2866
00:50:53,070 --> 00:50:53,080
them in huge numbers, what can we say
 

2867
00:50:53,080 --> 00:50:55,110
them in huge numbers, what can we say
about that? What an amazing job of

2868
00:50:55,110 --> 00:50:55,120
about that? What an amazing job of
 

2869
00:50:55,120 --> 00:50:57,430
about that? What an amazing job of
gaslighting and propaganda they've done.

2870
00:50:57,430 --> 00:50:57,440
gaslighting and propaganda they've done.
 

2871
00:50:57,440 --> 00:50:59,950
gaslighting and propaganda they've done.
Well said, Joe. Well said. If only you

2872
00:50:59,950 --> 00:50:59,960
Well said, Joe. Well said. If only you
 

2873
00:50:59,960 --> 00:51:02,270
Well said, Joe. Well said. If only you
could genuinely experience this epiphany

2874
00:51:02,270 --> 00:51:02,280
could genuinely experience this epiphany
 

2875
00:51:02,280 --> 00:51:04,270
could genuinely experience this epiphany
yourself and stop inviting all the

2876
00:51:04,270 --> 00:51:04,280
yourself and stop inviting all the
 

2877
00:51:04,280 --> 00:51:06,510
yourself and stop inviting all the
gaslighters and propaganda peddlers on

2878
00:51:06,510 --> 00:51:06,520
gaslighters and propaganda peddlers on
 

2879
00:51:06,520 --> 00:51:08,550
gaslighters and propaganda peddlers on
your [\h__\h] show, we could start

2880
00:51:08,550 --> 00:51:08,560
your [\h__\h] show, we could start
 

2881
00:51:08,560 --> 00:51:10,870
your [\h__\h] show, we could start
getting back to preventing more deaths.

2882
00:51:10,870 --> 00:51:10,880
getting back to preventing more deaths.
 

2883
00:51:10,880 --> 00:51:12,790
getting back to preventing more deaths.
To anyone who could possibly still be on

2884
00:51:12,790 --> 00:51:12,800
To anyone who could possibly still be on
 

2885
00:51:12,800 --> 00:51:14,510
To anyone who could possibly still be on
the fence, I don't know how to reach you

2886
00:51:14,510 --> 00:51:14,520
the fence, I don't know how to reach you
 

2887
00:51:14,520 --> 00:51:16,310
the fence, I don't know how to reach you
because you didn't watch this video. But

2888
00:51:16,310 --> 00:51:16,320
because you didn't watch this video. But
 

2889
00:51:16,320 --> 00:51:17,670
because you didn't watch this video. But
if you're out there and can hear me

2890
00:51:17,670 --> 00:51:17,680
if you're out there and can hear me
 

2891
00:51:17,680 --> 00:51:19,790
if you're out there and can hear me
somehow, if you're still concerned about

2892
00:51:19,790 --> 00:51:19,800
somehow, if you're still concerned about
 

2893
00:51:19,800 --> 00:51:21,750
somehow, if you're still concerned about
vaccine safety, consult your

2894
00:51:21,750 --> 00:51:21,760
vaccine safety, consult your
 

2895
00:51:21,760 --> 00:51:24,350
vaccine safety, consult your
pediatrician, not your favorite podcast

2896
00:51:24,350 --> 00:51:24,360
pediatrician, not your favorite podcast
 

2897
00:51:24,360 --> 00:51:25,950
pediatrician, not your favorite podcast
bro.

2898
00:51:25,950 --> 00:51:25,960
bro.
 

2899
00:51:25,960 --> 00:51:28,710
bro.
So, that's it for Aaron Siri, shameless

2900
00:51:28,710 --> 00:51:28,720
So, that's it for Aaron Siri, shameless
 

2901
00:51:28,720 --> 00:51:31,790
So, that's it for Aaron Siri, shameless
anti-vax stooge number 473.

2902
00:51:31,790 --> 00:51:31,800
anti-vax stooge number 473.
 

2903
00:51:31,800 --> 00:51:34,070
anti-vax stooge number 473.
They just keep cranking these jerks out,

2904
00:51:34,070 --> 00:51:34,080
They just keep cranking these jerks out,
 

2905
00:51:34,080 --> 00:51:35,950
They just keep cranking these jerks out,
and I'll keep doing my best to expose

2906
00:51:35,950 --> 00:51:35,960
and I'll keep doing my best to expose
 

2907
00:51:35,960 --> 00:51:37,990
and I'll keep doing my best to expose
each and every last one of them. My job

2908
00:51:37,990 --> 00:51:38,000
each and every last one of them. My job
 

2909
00:51:38,000 --> 00:51:39,910
each and every last one of them. My job
is far from over with so many dozens of

2910
00:51:39,910 --> 00:51:39,920
is far from over with so many dozens of
 

2911
00:51:39,920 --> 00:51:42,270
is far from over with so many dozens of
these figures left to go, so it's back

2912
00:51:42,270 --> 00:51:42,280
these figures left to go, so it's back
 

2913
00:51:42,280 --> 00:51:46,240
these figures left to go, so it's back
to work for me. I'll see you next time.