Episode Transcript
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0:00
Beginning in March 2020, just over three
0:02
years ago, public health officials
0:04
locked this country down.
0:08
One man talked back, arguing
0:10
that public health officials were getting the fight against
0:12
COVID all wrong.
0:14
That got him into trouble, and he's
0:16
still in trouble today.
0:18
Dr. Jay Bhattacharya on Uncommon
0:20
Knowledge now.
0:32
Welcome to Uncommon Knowledge. I'm Peter Robinson.
0:35
Dr. Jay Bhattacharya came to Stanford
0:37
University at the age of 17 and
0:40
has never left.
0:42
In addition to his undergraduate degree, Dr. Bhattacharya
0:44
earned a doctorate from the Stanford Economics
0:46
Department and an MD from Stanford
0:49
Medical School. Dr. Bhattacharya is
0:51
now a professor of medicine at Stanford and
0:53
a fellow at the Hoover Institution. Jay
0:56
is also one of the three authors of the Great
0:58
Barrington Declaration. I'm going to quote that
1:00
declaration. We have grave concerns,
1:03
Jay and his two co-authors wrote in that October 2020
1:06
document, we have
1:08
grave concerns about the damaging physical
1:10
and mental health impacts
1:12
of the prevailing COVID-19 policies.
1:16
Jay Bhattacharya, welcome. Thank you. Jay,
1:18
let's begin with a clip from your last appearance
1:21
on this program, which took place on October 13, 2021. My
1:26
question to you was, what needs to
1:28
happen? I mean,
1:31
I think the first thing that has to happen is
1:33
that public health should apologize. The public
1:36
health establishment in the United States and the world has failed
1:38
the public. The
1:40
first thing that has to happen is
1:43
that public health should apologize. Dr.
1:46
Anthony Fauci now retired, but during the lockdown,
1:48
the director of the National Institute of Allergy and Infectious
1:50
Diseases. Has he apologized? No.
1:54
Dr. Francis Collins, again now retired, but
1:56
during the lockdown, director of National Institutes
1:58
of Health. Has Dr. Collins apologized?
1:59
apologized? No, unfortunately.
2:02
Federal public health officials, state public health
2:04
officials, county public health officials put them all together
2:07
and you get several thousand public
2:09
health officials in this country
2:12
who
2:13
are responsible for locking counties
2:15
down, states down, the country down. As
2:18
far as you're aware, has any of them
2:20
apologized? I think very, very few have
2:22
acknowledged any errors at all. All right.
2:26
What we know now, last
2:30
year Johns Hopkins performed
2:32
a survey of the literature on lockdowns.
2:36
We're defining lockdowns here as government mandates,
2:38
quote, such as policies that limit internal movement,
2:40
close schools and businesses and ban international
2:43
travel, close quote.
2:44
The conclusion of the Johns Hopkins study
2:47
that on average lockdowns caused
2:49
a reduction in COVID deaths
2:51
of only two tenths of one percent.
2:55
Does that sound right? You read
2:57
all of these things so you understand it in ways
2:59
that I couldn't begin to, but does that conclusion sound
3:02
about right?
3:04
And if the benefit of locking down the country
3:07
was a reduction in COVID deaths of two tenths
3:10
of one percent,
3:11
what do we know now about the costs?
3:14
So Peter, it is absolutely right. I
3:16
don't know the specific number, but the
3:19
magnitude of the effective, the protective
3:21
effect of the lockdowns, if
3:24
it's not zero,
3:26
it's very, very close to zero. And for
3:28
a very simple reason, you can see why it's right. The
3:31
lockdowns, if they were to benefit
3:33
anybody, it benefited
3:36
members of the laptop class
3:38
who actually had the wherewithal
3:40
to stay home, stay safe while
3:43
the rest of the population served them. Our
3:45
societies are deeply
3:48
unequal. It's a very small fraction
3:50
of the world population that actually could
3:52
stay home and stay safe. And so when the
3:54
lockdowns happened, a very
3:56
large number of people essentially were left on the outside.
3:59
They had to work to feed their families, to
4:02
take care of their
4:04
elderly parents or whatnot. And
4:07
that meant that the lockdowns had no chance
4:09
of actually working. The people
4:11
that conceived the lockdowns had an extent
4:15
of naivete about how societies work that it just
4:17
boggles the mind.
4:19
And then you asked me again about the harms
4:22
from the lockdowns. What do we know? What
4:25
do we know? They're tremendous and we're just still
4:27
just beginning to count them,
4:28
right? So domestically, for instance, I
4:31
think there's now a broad consensus that the lockdowns
4:33
harmed our children. In
4:35
many places, including California, children
4:38
did not see the inside of a physical classroom for
4:40
nearly a full year and a half. The
4:42
consequences of that play themselves out with
4:45
deep learning losses. By the way, it's concentrated
4:48
on minorities and poor populations
4:50
who didn't have the wherewithal to replace the
4:53
loss in classroom learning. But
4:56
it plays itself out over a long period of time.
4:58
The social science literature from before
5:00
the pandemic had documented
5:02
in detail about how valuable
5:05
investments in education are for the health
5:07
of children. If you deprive
5:10
children of education for even short periods
5:12
of time, it turns out it leads
5:14
to a lifetime of
5:17
lower income, worse health, even
5:19
shorter lifespans. One estimate from
5:22
early in the pandemic published in by
5:25
the editor of JAMA Pediatrics found
5:28
that just the spring lockdowns
5:30
in the United States alone cost our children five
5:32
and a half million life years in expectation.
5:36
That's yet to come. It's coming.
5:38
The toll
5:41
on skipped cancer screenings
5:43
and again, starting
5:45
to see it, but the full extent
5:48
of it is yet to come. In
5:50
the poorer parts of the world, the consequences
5:52
have been absolutely devastating. Something
5:55
like 100 million people thrown into dire
5:58
poverty, $2 a day or less of income.
5:59
Millions
6:02
of people were- India, Africa. India,
6:05
you name the poor country, you name the
6:07
poor people in the poor country, the lockdowns harm
6:09
them. The estimates
6:12
from the World
6:14
Food Program is that 100 million people
6:16
were put into dire food
6:18
insecurity, near starvation.
6:22
We haven't yet begun to count the deaths
6:24
from that yet, but it's going to be in the millions.
6:27
And the children
6:30
in poor countries, I'll just
6:32
take Uganda as a good example of this, they
6:35
don't have Zoom school, they just had no
6:37
school for two years, unless
6:40
again, if they were in the laptop class, relatively
6:42
small number. Four
6:44
and a half million Ugandan kids never came
6:46
back to school after two years out of school.
6:49
And it turns out many of them, especially
6:51
the little girls, were sold into sexual
6:53
slavery or married
6:55
off as child brides, many little boys
6:58
were put into child labor.
7:00
Their families were so poor that they faced
7:03
this terrible choice between starving
7:05
their kids or prostituting
7:08
them.
7:09
So we're in
7:11
a situation where the harms of the lockdowns
7:13
have become and are becoming clearer and
7:16
clearer every day. And
7:18
the
7:19
benefits in terms of protecting people
7:21
from COVID, it's becoming clear that they did none
7:23
of that. A million, I think it was
7:26
a 1.2 million people have died of COVID in the United
7:28
States, nearly 7 million worldwide,
7:30
those are the official estimates.
7:33
I mean, what benefit did
7:35
the lockdowns actually have?
7:37
All right. Let's go through
7:39
the life
7:42
of Doc J as
7:44
this is taking place.
7:49
Let's begin. In March 2020, as
7:51
the lockdowns are being announced,
7:56
you felt uneasy about them immediately.
7:58
I know this because we're friends and we're friends. we were talking about
8:00
it. I had no idea what was happening and
8:03
you said, what's happening here is wrong. I
8:06
think is wrong.
8:08
You're actually quite scientific about it, which
8:10
leads me to the study that you conducted, the
8:12
seroprevalence study that you conducted
8:15
right here
8:16
in Santa Clara County and
8:20
the whole public health apparatus in the country
8:22
is moving toward a lockdown
8:24
and
8:25
you, to my astonishment, I thought, well,
8:27
you must be, there must be hundreds of these seroprevalence
8:29
studies being done and it turned out the one that
8:32
you performed here in Santa Clara County with
8:34
a couple of colleagues at the medical school was
8:36
the first seroprevalence study ever conducted
8:40
and you discovered
8:42
that the population was
8:44
already much more infected with
8:47
COVID than public
8:50
health authorities had understood. I thought,
8:53
stopping by your office and chatting as
8:55
we do, you
8:57
will receive the thanks of a grateful nation.
9:00
These are serious findings.
9:04
You didn't. What happened instead?
9:07
It's kind of a painful story. So
9:10
that study, which
9:13
I was a senior author on in April
9:15
of 2020, early April 2020, the first week
9:18
in Santa Clara County, we found
9:20
that about 3% of Santa Clara
9:23
County had antibodies already. And
9:26
as you said, well, there's
9:28
several implications. One is that that
9:32
meant the mortality rate from the disease was much
9:34
lower than people were saying. The World Health Organization
9:36
had already said that the mortality rate was like 3%
9:39
or 4%. They're saying something, technically
9:41
something called a case fatality rate, right? The number of people
9:43
that identified with COVID, usually
9:45
in the hospital back in those days, divided
9:48
by the number of people, again, you have the number
9:51
of people who died among that set and then you get 3%
9:53
or 4%. That is a deeply misleading
9:56
number. 3%
9:57
or 4% of people who get COVID do not die
9:59
from COVID. That's just a lie.
9:59
lie. And
10:03
what that seroprevalence study
10:05
found was that it was 0.2%. So two
10:07
out of
10:08
a thousand. Now that's still a big number. It's
10:12
not the flu. And we also
10:14
found a very, very steep age gradient. Children...
10:16
Well, you depict that up in the seroprevalence. I forgot to
10:19
go ahead. Sorry. Go ahead. So
10:21
children just didn't die at
10:22
very high rates from COVID, especially healthy children.
10:25
One in
10:27
a million on that
10:29
order. Whereas older
10:31
people had much higher rates of death from COVID. We found
10:33
that we saw that in the seroprevalence study. It
10:37
was much more
10:39
widespread, I think 40 or 50 case infections
10:43
for every case that public health knew about at the
10:45
time. And we found also
10:47
that... I mean, the third implication is that it's 3%,
10:50
right?
10:52
Very infectious disease. That means we still have
10:54
a long way to go before the pandemic's over. So
10:56
those were the three implications of that study. We
10:59
found also... We did a very similar study in
11:02
LA County the next week after that. And
11:04
then another more nationwide study,
11:06
less representative of Major League Baseball employees.
11:10
And what we found in LA was 4% of
11:12
infection,
11:14
right?
11:17
Of the prevalence of infections, 4% of the
11:20
LA County adult population
11:23
had evidence of having had COVID already and recovered.
11:26
The same exact infection fatality rate. And
11:31
so it was a confirmation of that study,
11:33
independent confirmation of that study. And by the way, if I
11:35
may add, in subsequent weeks
11:37
and months, the findings of these studies
11:40
would be confirmed again and again
11:42
and again and again. A hundred plus studies.
11:44
I like
11:44
this. Yeah. We found exactly what we found. So
11:47
instead of thanks you received. Okay.
11:50
So at
11:52
Stanford, at first there
11:54
was a lot of very...
11:57
I mean, it was actually quite touching. A lot of people
11:59
volunteered.
11:59
to help with the study, we put the study together
12:02
in basically three weeks'
12:04
time.
12:05
We worked very closely with the Human
12:07
Subjects Review Board at Stanford,
12:09
who helped us with the script, make sure we protected
12:11
the people that volunteered their
12:14
finger-picked blood, protected the people that
12:16
were drawing the
12:18
blood and drawing the samples, and so on.
12:20
And it felt
12:22
quite good. It felt like a community coming together to
12:25
do a very important bit of science
12:27
so that the world at large could
12:29
learn more about this deadly disease that was floating
12:32
around. When we first
12:34
got the results of the study, when we first started
12:36
coming in, that was when things
12:38
really turned negative. There
12:41
was, for instance, a pathologist
12:44
here at Stanford who wanted to make their own test
12:46
kit, their antibody test kit. We had actually
12:48
used a test kit that had been gifted to
12:50
us by some amazing
12:53
folks who work with Major League Baseball and steroid
12:55
testing. He had gotten these test kits
12:59
from a Chinese company actually, working
13:02
with an American affiliate.
13:03
And he
13:05
reached out to me after he saw a
13:07
Wall Street Journal piece I had written in March of 2020 and
13:10
said, look, I don't want to use these for Major League
13:12
Baseball, make money, I want to use them for science, can you
13:15
use them for science? So
13:17
it felt really good. But
13:19
the test kit itself
13:21
had, just like any medical
13:24
apparatus, has some error, false positives,
13:26
false negatives. And there was a lot
13:29
of,
13:29
like a race among lab
13:32
folks to create their own test kits,
13:35
including here at Stanford,
13:37
and then market them.
13:40
We got an email from the head
13:43
of the pathology department and then from the Department of Medicine
13:45
saying, well, people are concerned about your test
13:47
kit. Now we'd had actually a lot of
13:49
tests, independent
13:53
labs that checked the validity of
13:55
the test kit. And we found, because of small error, 0.5% in
13:57
the. in
14:00
the false positive rate. But we had these
14:02
statistical methods to adjust for this, right? So it was,
14:04
you know, it's an interesting statistical question, but it's
14:07
not something that was gonna invalidate the results
14:09
of our study, which were published, by the way, in
14:11
the International Journal of Epidemiology. But
14:15
Stanford made us change
14:18
after the fact, made us change the protocols
14:20
of the study.
14:21
It was unprecedented. I mean, I've been a Stanford professor
14:23
for, you know, 20 some years up to that
14:26
point. I've never seen or heard of
14:28
Stanford forcing professors
14:30
to independently change the results or change
14:32
the protocols of a study after
14:36
the data collection already been done
14:38
because of the concerns of the pathologists
14:41
and the medical school. They
14:43
made us bring back, okay, just,
14:45
I'm sorry to do math on you, Peter, but let
14:47
me just, I have to do just a bit of math. I'll go
14:49
right ahead. Okay, so. Because you
14:51
have to explain what it means to change a protocol because I don't
14:54
understand. So that goes like this specifically, right? So we have 3,000
14:57
people that we sampled
14:58
in Santa Clara County. 50 of
15:00
them were positive. Now we have to do some waiting because
15:03
there's too many people from coming from richer
15:05
parts than the poorer parts. That's how we got the 2, the 2.8%
15:07
prevalence. But anyways, we had 50 out
15:10
of 3,000 positive.
15:12
Okay, Stanford
15:14
made us bring those 50 people back
15:17
in to the lab, even
15:20
though that was part of our original protocol. And
15:23
test them, that means draw blood from
15:25
them, and have
15:28
them tested using the pathologist
15:30
test kit rather than the test kit we used. On
15:33
the premise that the pathologist test kit was completely
15:35
accurate and ours was
15:36
crap. He
15:39
found that of those 50, 35 out of those 50
15:42
were positive on his test kit.
15:47
Now let's say his test kit is 100% accurate.
15:50
Well, what that means is that we have 15 people
15:53
that we identified as positive, that he identified as
15:55
negative.
15:56
False positives, right? Right. 15 out
15:59
of,
15:59
out of.
15:59
So he sent an email around saying 15 out of 50
16:02
false positives, 30%.
16:04
That's devastating. That means you can't
16:06
use that test kit. Everything we did was terrible
16:09
and wrong. The problem is the math.
16:12
If you have 15 false positives, it's not out of 50, it's
16:14
out of 3,000,
16:18
which is a 0.5% error rate.
16:20
Which is exactly what you knew
16:22
the error rate going into it. Exactly.
16:25
So
16:26
Stanford then, when we found this out,
16:29
when I immediately noticed that the denominator
16:31
was wrong, I pointed this out to the folks
16:33
at Stanford in the medical school that
16:36
were forcing us to change our protocol. And
16:38
they told us we were not allowed to tell the world about it. At
16:40
a time when people were questioning the accuracy
16:43
of our test kit, the correctness
16:46
of our study, and so on.
16:48
OK.
16:49
There's more to that story, but
16:52
people will read that in the book that you're going to write
16:54
sooner or later,
16:56
if I have anything to do with it sooner.
16:58
Let's move on from that
17:01
seroprevalence study here at Stanford,
17:04
which again I repeat.
17:06
First of all, it was your idea to be helpful.
17:09
You noticed that no one had done one yet. You moved
17:11
as quickly as you reasonably could. You came back
17:14
with results that were valid
17:16
and that were confirmed again and again and again. All
17:19
right. The Great
17:21
Barrington Declaration in October 2020. Again,
17:25
I'm going to quote this from the Great Barrington Declaration,
17:28
which you co-authored with two
17:30
others whom I'll mention in a moment. As infectious
17:33
disease epidemiologists and public health scientists,
17:36
we have grave concerns about the damaging
17:38
physical and mental health impacts of the prevailing
17:41
COVID-19 policies and recommend
17:43
an approach that we call focused protection.
17:46
Instead of shutting the country down, you focus
17:48
on people who are at risk,
17:50
particularly older people, because of this age
17:52
gradient you discovered. This
17:55
is signed by Dr.
17:57
J. Bhattacharya of Stanford.
17:59
Dr. Martin Kuldorf
18:01
of Harvard and Dr. Sunetra
18:04
Gupta of Oxford.
18:07
We now know that just four days after
18:09
you published the Great Barrington Declaration, Dr.
18:12
Francis Collins, Director of NIH, wrote
18:15
an email to Dr. Anthony Fauci, Director
18:17
of NIAID.
18:19
Quote, this proposal
18:21
from the three fringe
18:24
epidemiology. Let me just repeat that. Jay
18:27
Bhattachary of Stanford, Sunetra Gupta
18:30
of Oxford, and Martin Kuldorf of Harvard.
18:33
This proposal from the three fringe epidemiologists
18:36
seems to be getting a lot of attention. There needs to be
18:38
a quick and devastating published takedown
18:40
of its premises.
18:41
Close quote. A week later, Dr.
18:44
Collins spoke to the Washington Post about the Great
18:46
Barrington Declaration. Quote, this
18:48
is a fringe component of epidemiology.
18:50
This is not mainstream science. It's
18:53
dangerous. Close quote. Still
18:55
later, Dr. Collins said on Fox
18:57
News, quote, hundreds of thousands
18:59
of people would have died
19:02
if we had followed that strategy.
19:05
Close quote. Jay,
19:07
what's going on here? So
19:11
we wrote this Great Barrington Declaration
19:13
in October of 2020.
19:16
We'd already tried the lockdown in March
19:18
and April of 2020,
19:19
and the disease had come back.
19:22
The effective implied promise
19:24
is two weeks to flatten the curve, and then we can figure
19:26
out what to do with the disease. Right.
19:29
On the basis, it turns out, of advice
19:32
from people like Francis Collins and Tony
19:34
Fauci, two
19:35
prominent government actors, including
19:38
President Trump.
19:40
The lockdown
19:42
strategy in part was a
19:45
reaction to observations
19:47
of what happened in China in January of 2020. Chinese
19:50
have locked down their society, especially
19:53
Wuhan and Hubei Province around it.
19:56
And American
19:59
bureaucrats like.
19:59
Tony Fauci
20:01
looked at this and thought, okay, what the Chinese
20:03
did worked, we need to do it too.
20:06
Now, these
20:09
are tremendous... Well, wait, how did they know that it worked? They
20:11
believed Chinese data? Yes. All
20:14
right. Carry on. So,
20:16
the... So, that... But
20:20
they had already staked their reputations
20:22
on this strategy.
20:24
And why fringe epidemiology?
20:27
Why would the head of the NIH go out of
20:29
his way to do this devastating
20:31
takedown? By the way, the devastating takedown turned out to be a
20:34
Wired magazine article. That was the best
20:36
they could produce. Well, I mean, you see a response
20:38
to that email that you cited, Tony Fauci
20:41
responded to Francis Collins with a
20:44
Wired magazine article. I see. They very
20:46
likely
20:47
cooperate with the... Anyways,
20:49
it's... All right. So, the
20:51
problem was that
20:53
you had thousands and thousands
20:55
of scientists, Stanford, Harvard, Oxford,
20:58
saying that what they were doing, their strategy
21:00
was a mistake, that there was no scientific
21:02
consensus in favor of their strategy.
21:05
And by the way, when you say thousands and thousands
21:08
of scientists, you put up the Great Barrington
21:10
Declaration online and invited
21:13
anyone who wanted to associate himself with it to
21:15
sign. And you did have thousands
21:18
and thousands of signatures. Tens of thousands
21:20
of doctors and scientists and epidemiologists, including
21:22
Nobel Prize winner. I
21:25
mean, so it wasn't actually a fringe idea. In
21:27
fact, it was the standard
21:29
policy for how to manage respiratory
21:31
virus pandemics that we'd
21:33
followed for a century. If you go back to March
21:36
of 2020, you can see op-eds in the New York
21:38
Times and Washington Post and elsewhere by
21:40
leading epidemiologists that
21:42
it looks for all the world like the Great Barrington
21:44
Declaration. It's the least original thing I ever worked
21:47
on my entire life here. So
21:51
the problem was for
21:53
Tony Fauci and Francis Collins was that
21:55
they had to solve a PR problem.
21:58
You have prominent scientists.
21:59
saying, look, what these guys are doing is not
22:02
actually the right strategy. That normally
22:04
should have led to a debate, a discussion,
22:06
some sort of like conversation. Because
22:10
if you're going to implement a policy as devastating as
22:12
a lockdown, you actually need to have
22:14
scientific consensus. It's not
22:16
okay to say that we
22:19
should lock the side down when only like part of scientists
22:21
agree with it, especially when it's
22:23
clear it didn't work in just a few months
22:26
earlier. And it
22:28
was already clear that it caused a lot of damage a few months
22:30
earlier.
22:31
So they faced a fear
22:33
problem. They had to make us into
22:35
fringe characters, fringe actors, destroy
22:38
us, destroy our reputations. So they didn't
22:40
have to have that debate. They needed
22:42
to create an illusion of scientific consensus
22:44
that did not actually exist.
22:46
All right. So
22:49
we're not discussing, in that incident, we're not discussing
22:51
science. We're discussing brutal
22:55
bureaucratic politics. Yeah. And
22:57
it's a hubris. All right.
22:59
Blacklisted on Twitter, you joined Twitter in 2021. Your
23:02
first tweet, you linked
23:05
to an article that you had recently
23:07
written on age-based risks
23:10
and you tweet, quote, mass testing
23:13
is locked down by stealth. By
23:16
the way, so very briefly, what's the argument there?
23:18
What point were you making? So mass
23:21
testing of children,
23:22
so that they stay out of school,
23:24
right? So you test
23:26
someone who's come in contact
23:29
with a child. You keep them out of school
23:31
for five, seven, how many days
23:33
until you're certain the person's ... the
23:36
kid's negative. Essentially that
23:38
essentially is a lockdown of that child, even though
23:41
they're not actually at lower
23:43
risk of spreading the disease in the population. Like,
23:45
what does the kid do at home? What if it's a crowded home?
23:49
What if the kid's healthy? Do they not go outside and
23:51
play with other kids? I mean, you
23:54
had already from the spring of 2020, evidence
23:56
from Sweden,
23:57
that first ... which kept
23:59
schools for kids under 16 entirely
24:02
open that, you know, not one child died
24:04
that spring from COVID and that
24:06
the teachers were actually at lower
24:09
risk of COVID than the population
24:11
of other workers at large. They actually,
24:13
being around kids actually protected them in some sense because
24:17
the kids are not super spreaders. They actually are
24:19
less efficient spreaders than adults. So
24:22
you already had all that evidence. So why are
24:24
we testing to keep kids out of school? It just harms
24:26
them with very little epidemiological benefit. All
24:28
right. Thank you for that explanation. So
24:31
and you continue to tweet. And
24:34
then
24:35
late last year, Elon Musk's takes
24:38
over Twitter
24:39
and the company releases internal emails
24:42
and documents showing among
24:44
other things that you had been intentionally
24:48
censored. And not long after that, Elon
24:50
Musk gets in touch with Dr. J. Bhattachary
24:52
and says, come on up here to headquarters and
24:55
take a look. I'd like you to see this with your own eyes.
24:58
What did you see? I mean,
25:00
it was surreal, Peter. So
25:03
when I joined Twitter, that was October,
25:05
you know, August 2021. And
25:09
I actually got a
25:11
lot of followers. I mean, like 200,000
25:14
followers, I think, by the time. But stop rubbing it
25:16
in. I have 12,000. I've tried to help
25:18
you on Twitter, Peter. No.
25:21
Now, the thing is, it's like
25:22
the blacklist that they put me on was
25:25
insidious.
25:26
Right. I could put a tweet out. I thought
25:28
I was reaching... The purpose of going
25:30
on Twitter isn't to reach people that already agree with me. The
25:32
purpose of going on Twitter was to
25:35
tell other people who hadn't heard
25:37
of my message or about lockdowns
25:39
and so on, COVID policy, that
25:41
maybe disagreed with me to engage with them.
25:46
The blacklist made sure that
25:48
my tweets, my message
25:50
never reached that audience.
25:52
It only reached people that already followed
25:55
me. That already followed you. Yeah, I see. So it
25:57
was just an insidious way of sort
25:59
of keeping me in a...
25:59
without my even knowing about it.
26:03
And Twitter was banning
26:05
you on its own
26:08
initiative, or it was being prompted to do so
26:10
by outside? I don't know that
26:12
for certain about the blacklist, but I very
26:15
strongly suspect that it was government
26:17
actors that had me on
26:19
a blacklist. All right. I can give you some
26:21
evidence for that, so I don't sound too much like a conspiracy
26:24
theorist.
26:25
Give us a sentence or two about
26:27
that. Yeah, so there's a lawsuit by
26:30
Missouri and Louisiana Attorney General's offices
26:32
against the Biden administration, where we've deposed
26:35
Tony Fauci. We've deposed aides
26:37
to the Surgeon General, aides to Jen
26:40
Psaki, the former communication director of the White House. We
26:42
found direct
26:44
instructions and threats from the White
26:46
House and many agencies within
26:49
HHS, Health and Human Services, to Twitter
26:51
and other social media companies. Facebook
26:53
and so forth, right.
26:54
Essentially threatening them unless they censored
26:57
people and ideas that they didn't like. All
26:59
right. So here's
27:02
what you put up. Here's what you tweeted after learning that
27:04
you've been blacklisted. By the way, the term blacklist
27:07
is politically incorrect in itself, but it's
27:10
Twitter's term. They actually put you on a blacklist.
27:12
All right.
27:14
Quote, quoting you, the thought that will keep me up tonight,
27:16
censorship of scientific discussion permitted
27:19
policies like school closures and children
27:21
were hurt.
27:25
This is the story of your life during
27:27
COVID, beginning with a zero
27:29
prevalence study. Shut up. Great
27:33
Barrington Declaration, your fringe epidemiologist.
27:35
Sit down and shut up. Twitter,
27:39
if you won't shut up, we're going to censor him. Why?
27:43
What were
27:43
they thinking? This isn't science.
27:46
It's not science. I think that by 2021, we already
27:48
had tremendous policy that
27:52
kept kids out of school that forced people to
27:54
be vaccinated, even though the evidence was that
27:56
the vaccine doesn't stop
27:58
transmission.
27:59
you already harmed the lives
28:02
of so many people.
28:03
It's just inconvenient to have
28:05
Stanford, Harvard, Oxford professors
28:08
around saying it wasn't necessary,
28:10
that there were other strategies that might have worked better, that
28:12
might have protected people better without the collateral harm.
28:14
That's the lie.
28:17
When I met with Elon, actually it was surreal. Like
28:20
I drove up to go to
28:23
toward headquarters in San Francisco. The
28:25
whole way up, I'm thinking to myself, this trip cost
28:27
Elon $44 billion. And
28:30
I saw with my own eyes, it literally said blacklist.
28:35
They have a database called Jira, and
28:37
they put me on this black, I saw
28:41
prominent media people asking
28:43
for tweets of mine to be brought down, for me
28:46
to be censored. I mean, it was
28:48
a striking thing to know that there
28:50
were actors in the media
28:51
environment
28:53
to know from the Missouri versus Biden case, in
28:57
the government who wanted to silence me. All
28:59
right.
29:02
Back, so now we come
29:04
to what
29:06
we ought to learn, what should we know, and
29:09
what should we do now? Three
29:12
states. There was a study of three states
29:15
this spring by the Paragon
29:17
Health Institute.
29:19
It used an index of state responses to
29:21
COVID that were created at Oxford University.
29:23
So you have an objective set of indexing.
29:25
Illinois, for example, has an average score. California,
29:29
which imposes, imposed some of the harshest
29:31
lockdowns, has a high score. Florida,
29:33
which imposed lockdowns, but only very briefly, and
29:35
then opened up almost entirely, has
29:37
a low score.
29:39
The finding, after adjusting for age
29:41
and disease, quote, I'm quoting the study, all
29:43
three states, high,
29:46
medium, and low. California, Illinois,
29:48
and Florida. All three states
29:50
had roughly equal outcomes,
29:53
suggesting that there was no substantial
29:56
health benefit to more severe lockdowns.
29:59
Florida, how.
29:59
however, easily surpassed
30:02
California and Illinois in
30:05
educational and economic outcomes.
30:08
The kids went to school, the economy remained
30:11
open. That all sounds right to you?
30:15
Yes. So again, the
30:17
lockdowns were a mistake. I'm saying to you, you
30:20
who, this is almost the
30:23
wrong word to use for you because it's just so counter
30:25
to your temperament and personality, that
30:28
you campaigned against lockdowns throughout
30:30
COVID. You have no reason
30:33
to regret that.
30:34
No, I think that was the right thing to do. I'm
30:36
not by nature an activist.
30:38
I can attest to that. But
30:42
every aspect of lockdown just fills me
30:44
with...
30:45
It has nothing
30:47
to do with science. It's
30:50
damaging to the poor. It's damaging
30:52
to kids in ways that
30:55
public policy never ought to have done. And we did
30:57
it out of ignorance and fear and
30:59
hubris. Sweden, the
31:01
all cause
31:02
excess deaths in
31:04
Sweden is something like 3%.
31:06
It's among the very,
31:08
very lowest in all of Europe. In
31:11
other words... So in repeat, Sweden did not
31:14
lockdown. Sweden did not lockdown. Schools stayed
31:16
open. Very fast. The economy continued to
31:18
function. Yeah. And they have lower mortality
31:21
than lockdown Germany, lockdown UK,
31:23
lockdown France, lockdown even
31:26
lockdown, I think they've now surpassed
31:28
Finland and Norway. I mean,
31:31
it's almost no
31:33
excess deaths. Imagine
31:36
that. Imagine if we'd followed a policy like
31:38
Sweden, we could have avoided all the harms
31:40
to our children. We could have avoided all the suffering
31:42
caused by
31:44
the lockdowns, the closed businesses,
31:47
the unemployment, all of that. The economic
31:49
harm where we spent trillions of dollars, the inflation
31:52
is a consequence of the lockdowns and
31:54
still protected our people better from COVID.
31:57
So the question now is how do we do better
31:59
now?
31:59
next time around.
32:01
Commission, here's an idea. Jay Bhattacharya
32:03
with Martin Koldorf writing in the Wall Street Journal in June
32:06
of 2021. This is almost two
32:08
years ago. The first step to restoring
32:10
the public's trust in scientific experts is
32:12
an honest and comprehensive evaluation
32:15
of the nation's pandemic response.
32:18
Senators Bob Menendez, Democrat
32:20
of New Jersey, and Susan Collins, Republican
32:23
of Maine, have introduced a bill that
32:25
would establish a COVID
32:28
commission,
32:29
close quote. Now, there's a good idea, a
32:31
bipartisan COVID commission.
32:33
What has the commission found?
32:35
So they're actually meeting today to
32:37
report the results. It's a whitewash, right?
32:40
It doesn't mention the possibility of focus protection.
32:44
I mean, in effect, you can kind of get a sense of how
32:47
the establishment that imposed the lockdowns
32:49
is treating this. They have a once
32:51
in a generation opportunity to actually do
32:54
an
32:54
honest introspection and reform
32:57
the processes that led to this public policy disaster.
33:00
Instead, they're giving awards to Tony Fauci. Instead,
33:03
they're patting themselves on the back,
33:06
saying that what they did was absolutely necessary. I
33:10
think they're blaming, for instance, the
33:14
disaster on misinformation.
33:16
Right? So I think the head
33:18
of the FDA, Califf, just
33:21
did a interview with some public radio
33:23
station saying that misinformation is the number
33:25
one cause of death. It
33:29
is
33:29
irresponsible in the extreme. But I don't,
33:32
I mean, it's depressing to watch, right?
33:34
Because I think the problem is like,
33:37
if you don't have an honest evaluation
33:40
of what happened and the disaster that happened, this
33:43
will happen again, Peter. Yes, right. OK. The
33:45
lawsuit, you mentioned this lawsuit a moment ago. The
33:47
attorneys general of Louisiana, Missouri, and other
33:49
states have brought suit against the Biden
33:52
administration for censoring social media
33:54
during the pandemic. You've joined the
33:56
suit.
33:57
Let me quote for a moment from the testimony
33:59
of John. Sawyer, if I'm pronouncing
34:01
his name correctly, Special Assistant
34:03
Attorney General for Louisiana. This
34:06
is testimony he gave to the Senate Judiciary Committee
34:08
this past March. By the way, Sawyer
34:12
is a graduate of Notre Dame, Harvard Law School,
34:15
and Oxford as a Rhodes Scholar. So we're not
34:17
talking about a crank here.
34:19
This is from his testimony, quote, what
34:22
we discovered, and excuse me,
34:25
he's talking about the discovery process that you mentioned
34:27
a moment ago. People have been deposed. Emails
34:29
have been examined, and so forth.
34:31
What we obtained was astonishing, staggering,
34:35
and horrifying. A
34:37
veritable army of federal officials
34:39
pressures, threatens, coerces,
34:41
colludes with, demands, and deceives
34:44
social media platforms to censor online
34:46
speech.
34:50
You experienced that. I'm
34:52
just asking you now as a normal consumer. You're
34:55
not a normal consumer of news. You're a normal consumer
34:58
of news. In recent months,
35:00
you've become especially attuned to news about
35:02
matters such as this.
35:05
Has that testimony, has your lawsuit
35:07
received the kind of attention
35:10
that it feels it merits? I
35:12
think this is the most important First Amendment case since
35:15
Pentagon Papers 50
35:17
years ago. And it's received almost
35:19
no attention from the news media. And it's actually
35:21
kind of shocking, right? Because it's
35:24
the news media that, in principle,
35:27
ought to be standing up for free speech. Right.
35:29
Right. OK.
35:31
The political system.
35:33
The lockdowns are largely, we've
35:35
talked about Fauci and Collins, who are federal
35:38
officials, but the lockdowns are largely
35:40
a matter of state law. And in many states,
35:42
including our state of California,
35:44
the state tends to defer to county
35:47
health officials. So the lockdowns
35:49
are largely
35:51
imposed by county and state
35:53
officials. And now
35:56
some 20 states have enacted laws that
35:58
curtail the powers of the state. those health officials.
36:01
The laws vary a little bit from state to state, but they
36:03
require public health officials to narrow the scope
36:06
of their actions to achieve specific health purposes.
36:09
They call for an expedited judicial review
36:12
of such actions and they ensure that actions will
36:14
automatically expire after a certain period
36:16
of time.
36:17
Okay.
36:21
Is that a good idea? Yes.
36:23
I think the problem is that what happened
36:25
is you have the CDC which issues
36:28
guidance. You have the NIH which issues
36:31
proclamations from on high, I guess, of who's
36:33
fringe and who's not. And
36:36
the local state and
36:38
state officials essentially respond as if it were wholly writ.
36:42
It's not formal regulation that's been subject to
36:45
the public comment or whatever. It's just
36:47
a CDC guidance. They tell you not to eat sushi
36:49
when you're pregnant or something. And
36:51
usually people feel free to
36:53
ignore it, but during the pandemic, these
36:56
kinds of guidances were used in court
36:58
cases to defend indefensible things,
37:01
lockdowns, closures
37:03
of businesses that had no real
37:06
justification in terms of reality.
37:08
Yes. And the other point, the point
37:10
of view from the point of view of the political
37:13
system, almost from the point of view of political theory,
37:16
there are over 2,000, I think just
37:19
short of 3,000 counties in
37:21
this country. This
37:23
varies a little bit from state to state, but most counties
37:26
have a public health official and in most cases
37:28
that public health official is appointed,
37:30
not elected. Most people have never
37:32
even heard of them and suddenly it emerges
37:35
that they have, I was about
37:37
to say dictatorial powers. I'm going to stick with dictatorial
37:40
powers.
37:41
You have to live a certain way because they say
37:43
so
37:44
and there's no redress.
37:47
Okay, so these state laws are a good idea.
37:50
Does it bother you that it's only 20 states and
37:52
does it bother you that almost all,
37:54
I think all of the 20 states, almost
37:57
all, let me stick with that,
37:59
are run by Roe. Republicans, that there's now
38:01
a partisan divide in the response to
38:03
these
38:04
lockdowns. It's a disaster, Peter. It's
38:07
a disaster that it's become a partisan
38:09
thing. Public health, when it is partisan,
38:12
is a failed public health. It's not like politics.
38:15
You can't just win 50% plus one
38:17
and say you've done a successful job in public health.
38:20
You need 95% of the public to agree with you,
38:22
to
38:23
honor and respect what you're saying, or else
38:26
you failed. Trust what you're saying, or else you failed.
38:29
Public health is for everybody. It's not a partisan issue.
38:31
The fact that it is partisan, I mean,
38:34
I'm in favor of the laws, but I wish that
38:36
those laws were extended to the rest of the states.
38:38
I think it actually would help public health, because then at that
38:40
point, then public health
38:43
officials couldn't act as
38:45
dictators. They would have to reason
38:47
with the public and tell the public, look, here's
38:50
the evidence for why we're asking you to do
38:52
this.
38:53
And if they're persuasive, the public would agree. This is what happened
38:55
in Sweden. In Sweden, 95%
38:57
of people trust Swedish
38:59
public health,
39:00
because they were honest about their mistakes,
39:03
honest about their reasoning. They treated
39:05
adults like adults.
39:07
All right. So Jay, if
39:11
I could make you a
39:13
dictator for a day, I've just been real.
39:16
But
39:17
what do you want to see happen? We've talked about there's a lawsuit.
39:20
It's not getting the attention it deserves. There's laws.
39:22
They're good as far as they go, but it's only 20 states. It's
39:26
brought into view a partisan divide.
39:30
This just seems you
39:32
have the magnitude of these lockdowns, which
39:35
damaged millions of people and
39:37
did very little good. And
39:41
the response seems puny, certainly
39:44
insufficient. What
39:47
could still be done? Well, first, don't
39:49
make me dictator for a day. That would be
39:51
a mistake. But
39:54
I
39:55
think that the response is coming.
40:00
It's not done yet. It's unfortunate
40:02
that we haven't had the honest
40:04
evaluation. The extent
40:06
of harm to people is so much that
40:08
it demands a political response.
40:11
And I think that political response will happen. What form it'll
40:14
take, I don't know, you're the political expert, but
40:16
the expression
40:19
of the people that were harmed by the lockdowns, the expression
40:21
of the people that were harmed by COVID, the fact
40:23
that public health did not actually end up
40:25
protecting people, ended up harming people, that
40:28
demands a political response, which I think will
40:30
inevitably come.
40:31
All right.
40:33
A few final questions, Jay. Holman Jenkins
40:35
in the Wall Street Journal, quote,
40:37
the world inevitably will
40:40
face new respiratory viruses. There seems
40:42
to be no good reason why nature would afflict
40:44
us with a disease that spreads
40:47
as easily as the flu or COVID and
40:49
is significantly more deadly,
40:52
but neither can that be ruled out.
40:55
Are we ready for the next pandemic?
40:56
We're going to lock down again with the next pandemic, guaranteed.
41:01
With the current sort of configuration
41:03
of power in public health and politics stands,
41:06
that we will respond
41:09
by saying, look, the lockdown is the
41:11
only way. And just as it happened
41:14
in 2020, it'll be the laptop class that'll benefit and the
41:16
poor and the vulnerable and children who will
41:18
be harmed.
41:19
All right. We're talking about lockdowns,
41:21
but briefly, if I could ask you what
41:24
we know about other aspects
41:26
of the response. Just briefly, if you could take
41:28
us through these. Masking. February
41:31
of this year, the Cochrane Library conducted
41:34
what seems to be the most rigorous study
41:37
of the literature on masking, at least it's the most rigorous
41:39
of which I'm aware. The conclusion, quote,
41:42
we are uncertain whether wearing masks
41:44
or N95 respirators helps
41:46
to slow the spread of respiratory viruses
41:48
based on the studies we assessed. Close
41:51
quote. We're uncertain.
41:53
The lead author of the study, the Oxford epidemiologist
41:56
Tom Jefferson put it more bluntly, quote, there is just
41:59
no evidence that masking is a risk.
41:59
make any difference, full stop, close quote.
42:02
That sounds right to you? Yes. We
42:04
were all told we couldn't go into a store, we couldn't go
42:06
to church, we couldn't leave our homes
42:09
unless we had a mask, and they make no
42:11
difference. There have been now, before
42:13
the pandemic, there were something like a dozen randomized
42:15
studies
42:16
of masking and the
42:19
prevention of
42:20
spread of influenza.
42:22
Three randomized studies during the pandemic on
42:24
COVID. And all of them
42:26
have either find no effect or have trouble
42:29
finding any effect at all, or if they find effect,
42:31
it's a tiny, tiny effect.
42:34
Okay.
42:35
Right. So
42:37
here's what I think is some good news, the vaccines.
42:40
Dr. Fauci, this is last summer, even
42:42
though vaccines don't protect particularly well
42:44
against infection, oops, we thought they
42:46
did, but they don't, they do protect
42:49
quite well against severe disease leading
42:51
to hospitalization and death, close quote. That
42:54
bit we got right, correct? Yes,
42:57
I think so.
42:57
The vaccines, we did have this project,
43:00
what was it called, Project Lightspeed or? Operation
43:02
Warp Speed. Warp Speed, Warp Speed, I'm
43:04
a little vague on the Star Trek terms, but
43:06
Operation Warp Speed, the government got
43:09
that right. That was one place where the government mobilized
43:11
resources and we got it right. They don't protect
43:13
against infection, but they do help keep you alive
43:16
if you get it, right? Yeah, so I think that
43:18
that's true, but there's some nuances
43:20
that are very important there. So first, if
43:22
you've had COVID and recovered,
43:24
it's, I'm not, I don't know
43:26
how big an effect improvement there is
43:28
in the, so you already have
43:31
pretty good protection against severe disease and death or
43:33
reinfection, yeah, if you've had COVID and recovered.
43:36
The vaccine is, they might help a little, but
43:38
not as much as if you're completely immune naive. Second,
43:41
it's gonna have a much bigger benefit for older people than
43:43
for young people. For young people, the risk of death is very
43:45
low to begin with. Third,
43:48
there are some side effects from the vaccine,
43:50
like especially young men and myocarditis,
43:53
so it's not necessarily wise, just
43:55
because it reduces death, that automatically everyone
43:57
should automatically get it. Okay, so this brings
43:59
up.
43:59
brings us to the question of the mandates. They
44:03
varied from state to state, but we do
44:05
know that all federal workers were required
44:08
to get vaccinated to keep their jobs.
44:11
We know that
44:12
at this moment, as we sit here recording
44:14
this, foreign visitors are not
44:16
allowed into the United States without proof of vaccination.
44:19
Do these mandates make sense? No.
44:23
So just as a matter of policy
44:25
and economics,
44:27
if my vaccine only matters
44:29
for whether I die from if
44:31
I get COVID, well, then it's a personal medical decision,
44:33
right? Right.
44:35
If my vaccine
44:37
protects you against COVID, then there might
44:40
be some public policy around you're
44:42
sort of inducing me to get the vaccine.
44:45
So a necessary condition for the mandates
44:47
to be right is that the
44:49
vaccine stop transmission.
44:51
And they did? They don't. So after two
44:54
months, the protection against infection drops
44:56
pretty sharply. I personally, when I was
44:58
vaccinated in April of 2021, four months
45:00
later, I got COVID. I think
45:02
that's the experience of many, many people that have given me
45:04
vaccinated. The vaccines only
45:06
protect you against getting COVID for a very short
45:09
period of time.
45:10
And they don't prevent you from passing it on? That's
45:12
correct. All right. OK.
45:15
Jay, this brings us to my last set of questions,
45:18
and they concern you. We've
45:21
known each other for a long time, and I can testify that
45:23
before COVID, you were completely
45:26
happy
45:27
with the quiet life
45:30
of a man totally devoted to academia,
45:33
to his research, to his students.
45:36
You were one of the happiest men I knew.
45:39
I can also testify that the stress
45:41
of what you went through
45:43
took a personal toll on you.
45:45
You lost 20 pounds. There were plenty of us who
45:47
were very worried about you. And
45:50
by the way, while I'm testifying about offering
45:53
myself as a character witness,
45:55
you served as an expert witness in any
45:57
number of trials. You've now spoken at different companies.
45:59
conferences and events and I'm
46:02
delighted that you've made so much money,
46:04
you have refused
46:07
any payment whatsoever as an expert
46:09
witness, no speaking fees, zero.
46:14
Yeah. I don't feel right taking money
46:16
for my COVID work. Okay.
46:21
But here you are, Jay. In
46:23
at least a modest way, you're famous.
46:26
I've been with you in an airport when people stopped
46:28
and recognized you.
46:30
You have over 400,000 followers on
46:33
Twitter now.
46:36
What are you going to do with this platform? What's
46:38
next? COVID happened, you
46:41
did what you could, you were largely
46:43
ignored, honestly. What's
46:46
next for you? Well, I think
46:49
I really want to see the reform
46:51
of public health happen. So I've
46:53
been working on the...for instance,
46:55
I just did this document, what this document was some
46:57
of several of my friends called the Norfolk
47:00
Group
47:00
Blueprint. And it's a
47:03
blueprint for what an honest COVID commission
47:05
would do, what it would ask, the questions would ask. So
47:07
I'm going to work very hard on that.
47:10
I'm
47:11
not so...I'm still would
47:14
like to be a scholar. I still am
47:16
interested in some of the research questions. I think it's
47:18
very clear from how scientific
47:20
institutions responded to COVID that science is fundamentally
47:23
broken. And so
47:25
I'm going to work with this group
47:27
that I helped found called the Academy of Science and Freedom
47:30
to help to bring reform
47:32
to science. I think we have a...I
47:34
mean, I think Martin Kulldorf put it well.
47:37
During COVID, it felt like science had entered
47:39
a dark age, even though there were all these like advances,
47:42
same time you couldn't say
47:45
something that the powers that be the high clarity
47:48
of science like Tony Fauci or Francis Collins,
47:50
you couldn't contradict them without
47:53
being excommunicated. It felt
47:55
like the dark age. We
47:57
can't actually have scientific institutions operate that
47:59
way and still have...
49:55
of
50:00
Stanford Medical School and the Hoover Institution. Thank
50:03
you, thank you. For Uncommon Knowledge,
50:05
the Hoover Institution and Fox Nation, I'm
50:07
Peter Robinson.
50:09
["The Hoover Institution and
50:11
Fox Nation"]
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