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So this is my place, the 
Pineapple Hill Grill and Saloon.

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If you go to my page, you can 
see all the work I did for 

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outdoor dining for tables being 
7 feet apart. 

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And I come in today because I'm 
organizing A protest and I came 

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in to get stuff for that. 
And I walk into my parking lot 

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and obviously Mayor Garcetti has
approved this, has approved 

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this, being set up for this 
being set up for for a movie 

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company. 
I'm losing everything. 

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Everything I own is being taken 
away from me. 

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And they set up a movie company 
right next to my outdoor patio, 

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which is right over here. 
And people wonder why I'm 

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protesting and why I have had 
enough. 

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They have not given us money and
they have shut us down. 

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We cannot survive. 
My staff cannot survive. 

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Look at this. 
Tell me that this is dangerous 

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but right next to me as a slap 
in my face. 

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Welcome to the Libertarian 
Institute, YouTube and Odyssey 

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channel. 
Today we have Lori Calhoun, the 

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author of Questioning the COVID 
Company line, Critical Thinking 

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in Hysterical times. 
Lori, thank you so much for your

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time. 
Thanks for having me. 

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When it comes to the claim, 
listen to the science. 

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I want to listen to the science,
but I'm not sure I exactly know 

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how to. 
What is science and how can we 

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differentiate it from 
coincidences or propaganda? 

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That's a great question. 
Science drove, quote, quote, UN 

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quote science. 
The science drove all of the 

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political measures used in 
response to the emergence of. 

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The virus. 
And so you do have to get a 

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handle on what exactly that 
phrase supposedly refers to. 

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Science is the method used to 
adjudicate a variety of 

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hypotheses regarding phenomena 
we observe. 

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Okay. 
So it's empirical sciences. 

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You you observe phenomena and 
you try to explain them. 

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In a way, science is a kind of 
if you like. 

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Conspiracy theory cuz you're 
trying to connect the dots so 

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you have a cause and effect, or 
what looks to be a cause and 

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effect and you want to explain 
it through a theory. 

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But science is considered 
respectable because it's 

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repeatable. 
It's reproducible the studies 

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that you use to. 
Confirm theories. 

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And it's always open to 
refutation. 

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So you can say, look, I have 
this theory and then you can 

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test it in a variety of 
different ways. 

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You keep testing that theory and
that this is how science evolves

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over time, that some theories 
get abandoned to get replaced by

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newer, better theories that 
better account for the 

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phenomena. 
So science is an evolving method

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and process by which we make 
sense of empirical reality. 

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So let me give you a statement. 
Tell me what, if anything, is 

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wrong with the logic behind it. 
Raytheon and Northrop Grumman 

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are the experts with regard to 
military capabilities. 

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Therefore, only Raytheon and 
Northrop Grumman should have a 

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valid opinion with regard to 
what should be done militarily. 

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Priests and people with theology
degrees are the only people who 

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can really have an opinion on 
religion because they are the 

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experts you. 
Do not have a priesthood nor a 

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theology degree. 
Most of you out there. 

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Therefore you guys cannot have a
valid opinion on such a thing. 

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What, if anything, is wrong with
this line of thinking? 

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Interesting comparison, those 
two cases, because on the one 

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hand you have the obvious 
conflict of interest, where the 

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people who are deciding what we 
should do in the face of 

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conflict have values at stake. 
They have possible profits. 

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At stake. 
And so they're going to promote 

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a line which which will further 
their own interest. 

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So what happens, we actually 
have a system similar to that 

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unfortunately in the United 
States with the military because

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we do defer much of the decision
making to these people who do 

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have industry connections. 
So the difference is, you know, 

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between just like. 
Listening to the science and 

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deciding what to do is vast. 
There there are descriptions of 

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what what's going on, and then 
there are prescriptions or 

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normative guidance about what we
should do. 

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So the philosopher, the Scottish
philosopher David Hume called 

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this the is aught problem. 
So you can have a whole 

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description of everything that's
going on. 

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It's all true, you know, you've 
confirmed your theory. 

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You, you know you've decided 
that. 

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This statement is true, and this
theory is true, but there's 

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still the whole extra question 
of what you do in response, 

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Okay. 
So that question is answered by 

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appeal to values. 
So you can say, for example, 

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just to give, you know, to 
continue the military analogy, 

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you can say, all right, we've 
decided that Vladimir Putin is a

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bad actor. 
He invaded Ukraine. 

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That was a bad thing to do, 
Okay. 

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So then there's the whole, 
there's a whole other decision 

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to be made, which is what do we 
do in response? 

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What should we do? 
Okay. 

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So you can, you can agree with, 
you know, people who work at 

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Raytheon and N Agreement. 
You can agree with them that 

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Vladimir Putin, you know, should
not have invaded Ukraine. 

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Okay. 
So. 

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But he did. 
So now what you do, what do you 

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do? 
And on the one hand you have 

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people are going to support the 
values of companies such as 

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Raytheon and they're going to 
say, well, obviously we should 

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ship as many weapons to Ukraine 
as we possibly can and let them 

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sort it out. 
And then you have, on the other 

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hand, people who are advocating 
for human rights and they're 

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saying actually it's, it's going
to be a. 

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Finder where you just are 
killing people, not just 

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soldiers, but civilians. 
The more weapons you send over 

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there, the more people you're 
going to kill. 

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So they're very different 
solutions to to what should be 

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done in the case of military 
conflict. 

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And the solution that's opted 
for tends to be determined by 

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the person's prior values. 
So if they work for Raytheon or 

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they have associations with 
Raytheon, as does our Secretary 

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of Defense. 
Lloyd Austin they're going to 

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have, they're going to be skewed
toward a solution that favors 

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those values. 
Okay that promotes those values.

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The religion case is also very 
interesting because as you may 

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know, the Protestant Reformation
came about because there was 

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this concern that. 
There was a middleman between 

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people on the ground and God, 
Okay. 

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So you can you can say I believe
in God or I don't believe in 

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God. 
But among people who believe in 

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God, there they believed that 
Martin Luther believed that you 

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actually have as much access to 
God as does, you know, the 

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hierarchy of the Catholic 
Church. 

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And so there was a big dispute 
about that. 

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It's actually it's interesting 
that it's a similar case 

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because. 
On the one hand, people would 

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say, oh, religion is completely 
different topic, but it was, it 

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was the very same question of 
you know, who exactly counts as 

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an expert in these in these 
scenarios, in these vexed 

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conflicts. 
So what's wrong with the? 

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Ultimately, what's wrong with 
both of those, I would say is 

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that they assume that 
descriptions dictate 

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prescriptions and they don't. 
Nothing is dictated by the 

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facts. 
About what we should do. 

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Best example I've come up with 
is smoking okay. 

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We have tons of evidence, 
scientific evidence, theories 

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confirmed over decades and 
decades that that smoking is 

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going to increase your 
likelihood of dying early, 

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increase your likelihood of 
developing lung cancer, 

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emphysema, all sorts of other 
afflictions. 

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And yet there's still the 
question, knowing this, should I

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smoke? 
And some people continue to 

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decide to smoke because the 
pleasure they derive from from 

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smoking. 
Outweighs their concerns about 

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the number of years which may be
shaved off at the end of their 

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life. 
So it's a value judgment how 

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you're going to live your life 
and that is not dictated by the 

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facts. 
So when it comes to COVID, have 

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you seen any examples of the 
scientific community falling for

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the very same thing that we 
would expect, priests and 

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members of the military 
industrial complex? 

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To fall into, yes, they're 
experts, but they also have a 

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huge financial incentive which 
clouds their judgment. 

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Have you seen any examples of 
that in the medical community? 

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We have tons of examples of 
that. 

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I mean, basically the regulatory
agencies have been completely 

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captured by the Pharmaceutical 
industry and the best example I.

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Could point to right now is the 
opioid crisis okay. 

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So if you This is why I have a 
couple couple chapters where I 

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discussed this because it's 
really important to understand 

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how the opioid crisis came about
in order to understand what's 

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going on in the in the COVID 
world. 

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So the opioid crisis got off to 
a start when Purdue Pharma in 

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the Sackler family marketed 
Oxycontin as a safe. 

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Narcotic, which could and should
be prescribed to people with any

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sorts of pain. 
You could have just a minor 

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pain, you know, you stuck your 
toe or something. 

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Your doctor gives you a 
narcotic. 

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So they marketed it very 
deceptively, suggesting that it 

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wasn't addictive and that it was
less subject to abuse than 

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narcotics. 
Even though human societies have

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known for hundreds of years, 
many hundreds of years. 

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Perhaps you know thousands of 
years that narcotics are 

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extremely addictive and it's 
very, very difficult to shake a 

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habit once you develop an 
addiction to narcotics. 

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So people have known this, but 
defying all of that they decided

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to market this very powerful 
narcotic as non addictive and 

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they got the approval from FDA 
and not only that, but they 

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included a package insert in the
medication that said. 

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You know, it's less subject to 
abuse and it it's safe for for 

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applications that are that 
exceed terminal patients. 

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It used to be the narcotics were
only given to people who are 

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going to die, you know, because 
it didn't matter if they became 

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addicted, you know they're going
to die anyway. 

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So you just want to make the end
of their life as pleasant as 

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possible. 
But with this new narcotic, they

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decided to market it really 
widely and give it to anyone for

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anything. 
And what happened was this sort 

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of tidal wave of addiction. 
People losing their 

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prescriptions, going to the 
streets. 

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I'm sure you know about the 
famous pain clinics. 

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I talk about them in a chapter 
in this book. 

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The pain clinics were where 
mercenary doctors teamed up 

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with, you know, bad actors. 
And they opened these pain 

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clinics where people could just 
come in and get narcotics freely

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and legally. 
And this went on for years. 

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That finally was shut down. 
But when it was shut down, it 

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had already created so many 
addicts. 

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That they were all over the 
streets and there was a huge 

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market demand for narcotics. 
And so when people couldn't 

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afford their prescription 
anymore because they lost their 

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00:11:30,980 --> 00:11:34,020
insurance, often because they 
lost their job, they went to the

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streets. 
And this is how the fentanyl 

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crisis came, came to be because,
you know, the cartels came, it 

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rushed in to fill, to fill the 
demand. 

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00:11:45,410 --> 00:11:48,570
The market demand for narcotics 
and they they've been filling it

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00:11:48,570 --> 00:11:53,290
with fentanyl laced products and
as as you know there have been 

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hundreds of thousands of 
overdose deaths as a result of 

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this. 
So to answer your question, how 

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does this show that we have, you
know, this problem of values 

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00:12:05,210 --> 00:12:08,170
affecting the science? 
It shows that. 

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00:12:08,850 --> 00:12:11,570
If people have finance enough 
financial incentives, they're 

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00:12:11,570 --> 00:12:14,810
willing to do things that are 
going to actually harm people, 

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00:12:14,810 --> 00:12:17,770
even though they're a part of a 
regulatory apparatus that 

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00:12:17,770 --> 00:12:20,570
supposedly exists in order to 
help people. 

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00:12:22,090 --> 00:12:27,410
When I first was coming across a
number of ideas such as mask 

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00:12:27,410 --> 00:12:31,250
mandates, lockdown mandates and 
a lot of the experts were 

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00:12:31,250 --> 00:12:35,110
allegedly on the same page. 
I felt like I had had 10 years 

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00:12:35,110 --> 00:12:39,310
of practice of questioning the 
experts because in my field of 

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00:12:39,310 --> 00:12:43,030
economics or history, I 
constantly see all the experts 

220
00:12:43,030 --> 00:12:47,150
say, you know, it's really 
dangerous to have too free of a 

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00:12:47,150 --> 00:12:50,110
market because you might get 
monopolies and with monopolies 

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00:12:50,110 --> 00:12:52,910
you'd get higher prices and 
worse quality than you otherwise

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00:12:52,910 --> 00:12:54,670
would. 
Also, the state should 

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00:12:54,670 --> 00:12:58,430
monopolize taxation, compulsory 
education, the judicial system 

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00:12:58,430 --> 00:13:00,710
and the healthcare system, and 
guns. 

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00:13:01,420 --> 00:13:04,980
Never clarifying the difference 
in the principle between 

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00:13:04,980 --> 00:13:08,100
monopolies are bad sometimes. 
They're inherently evil and 

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00:13:08,100 --> 00:13:11,180
should never exist, and they 
must exist or else life will be 

229
00:13:11,180 --> 00:13:14,260
nasty, brutish and short. 
So going into this, there were 

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00:13:14,260 --> 00:13:18,700
examples that I had of experts 
getting it totally wrong and 

231
00:13:18,780 --> 00:13:21,660
being incorrect when trying to 
analyze the situation. 

232
00:13:21,860 --> 00:13:25,940
What are some other examples 
that we can actually point to of

233
00:13:25,980 --> 00:13:30,380
the Expert class being totally 
wrong in a field that they're 

234
00:13:30,380 --> 00:13:32,950
supposed to? 
Have the sole expertise in. 

235
00:13:35,750 --> 00:13:39,070
Well certainly if you want to 
stick with pharma, lots of drugs

236
00:13:39,070 --> 00:13:42,670
have been withdrawn from the 
market after they've been out on

237
00:13:42,670 --> 00:13:45,430
the market for a while because 
it turned out after a while that

238
00:13:45,430 --> 00:13:48,350
they had lots of adverse effects
and they killed a lot of people.

239
00:13:48,950 --> 00:13:53,030
A good example is Chantry which 
is the anti smoking drug Which 

240
00:13:53,150 --> 00:13:55,810
which? 
You know, it's incredibly 

241
00:13:55,810 --> 00:13:59,290
profitable, but it caused at 
least 500 suicides. 

242
00:13:59,290 --> 00:14:02,690
There were like thousands of 
other attempted suicides under 

243
00:14:02,690 --> 00:14:04,970
the influence of that drug. 
It was not withdrawn for the 

244
00:14:04,970 --> 00:14:08,810
market because of its suicidal 
ideation, which they knew about 

245
00:14:08,850 --> 00:14:12,170
in the very first year it was 
withdrawn because now it appears

246
00:14:12,170 --> 00:14:14,250
that some components of it are 
carcinogenic. 

247
00:14:14,530 --> 00:14:17,210
So. 
So that's a really good example 

248
00:14:17,210 --> 00:14:19,450
and it's always going to happen 
that. 

249
00:14:19,450 --> 00:14:22,530
I mean, basically you can look 
at every example of chemicals 

250
00:14:22,530 --> 00:14:27,130
that have been. 
You know, championed as like the

251
00:14:27,490 --> 00:14:29,290
the what, the solution to a 
problem. 

252
00:14:29,290 --> 00:14:31,290
For example, are artificial 
sweeteners OK? 

253
00:14:31,290 --> 00:14:33,930
They always get approved. 
And then, you know, decades 

254
00:14:33,930 --> 00:14:36,970
later it turns out, oh, 
actually, they're carcinogenic 

255
00:14:36,970 --> 00:14:41,280
and they're killing people and. 
As far as the most recent one, 

256
00:14:41,280 --> 00:14:44,080
but it always happens. 
Basically, it's induction on 

257
00:14:44,080 --> 00:14:47,360
every artificial sweetener we've
ever had that your safest bet is

258
00:14:47,360 --> 00:14:49,680
to like you wanna cut down on 
calories? 

259
00:14:49,680 --> 00:14:55,200
Just drink iced tea without 
sugar in it, because based on 

260
00:14:55,200 --> 00:15:00,990
Cyc limits, saccharin. 
Aspartame probably was the new 

261
00:15:00,990 --> 00:15:04,950
one. 
Sucralose stevia, they already 

262
00:15:04,950 --> 00:15:06,070
say there are problems with 
stevia. 

263
00:15:06,070 --> 00:15:10,470
So basically those chemicals, 
they're all produced in 

264
00:15:10,470 --> 00:15:13,670
laboratories and they end up 
having these adverse effects and

265
00:15:13,670 --> 00:15:15,950
they're not discovered until 
they've been out in the market 

266
00:15:15,950 --> 00:15:19,310
for a really long time. 
So you could say, well, no one's

267
00:15:19,750 --> 00:15:24,450
this is not anyone's. 
Evil doing. 

268
00:15:24,450 --> 00:15:26,530
And they're just mistakes. 
But that's exactly the point. 

269
00:15:26,530 --> 00:15:29,250
Human beings are fallible, and 
we do make mistakes. 

270
00:15:29,250 --> 00:15:32,650
And even people who don't have 
vested interest in these cases 

271
00:15:32,650 --> 00:15:37,530
can make errors of judgment. 
When it comes to the foreign 

272
00:15:37,530 --> 00:15:41,490
policy establishment, something 
you are very heavily involved in

273
00:15:41,490 --> 00:15:44,410
and have done a terrific work, 
especially regarding the drone 

274
00:15:44,410 --> 00:15:47,550
program. 
What are some examples or an 

275
00:15:47,550 --> 00:15:51,310
example of tons of experts, Tons
of people with all this 

276
00:15:51,310 --> 00:15:55,390
classified information at their 
fingertips, getting it wrong, so

277
00:15:55,390 --> 00:15:58,070
to speak? 
Well, you you just set me up for

278
00:15:58,070 --> 00:15:59,470
that one. 
Obviously it's the invasion of 

279
00:15:59,470 --> 00:16:01,230
Iraq. 
Is the is the top contender 

280
00:16:01,230 --> 00:16:02,990
there? 
Because we had all of the 

281
00:16:02,990 --> 00:16:06,190
experts telling us that Saddam 
Hussein had WMD. 

282
00:16:06,740 --> 00:16:08,220
Actually, not all of them. 
I take it back. 

283
00:16:08,660 --> 00:16:11,540
Well, Rumsfeld himself said it, 
Secretary of Defense said. 

284
00:16:11,580 --> 00:16:13,220
No, the United States experts 
did. 

285
00:16:13,220 --> 00:16:16,660
But I I want to say that Hans 
Blick's people outside the US 

286
00:16:17,340 --> 00:16:20,180
demurred from this take. 
But if you want to talk about US

287
00:16:20,180 --> 00:16:23,140
experts who all came together to
support the invasion, that's it.

288
00:16:23,140 --> 00:16:29,060
I mean right there, Saddam had 
WMD, there were roving chemical 

289
00:16:29,060 --> 00:16:32,500
laboratories, there was a yellow
cake incident, you know, 

290
00:16:32,540 --> 00:16:36,470
purchase in Niger. 
Not only that, but they tortured

291
00:16:36,470 --> 00:16:40,430
some some guy and got him to, 
quote, UN quote, confess that 

292
00:16:40,430 --> 00:16:44,990
there was a connection between 
Saddam Hussein and Osama bin 

293
00:16:44,990 --> 00:16:46,790
Laden. 
Well, you know, people, when you

294
00:16:46,790 --> 00:16:48,870
torture people long enough, 
they're going to say whatever 

295
00:16:48,870 --> 00:16:51,110
they think that you want them to
say so that you'll stop 

296
00:16:51,110 --> 00:16:52,870
torturing them. 
I mean, this is a very 

297
00:16:52,870 --> 00:16:55,310
ineffective means to 
ascertaining the truth. 

298
00:16:55,720 --> 00:16:58,640
But we, the the US 
administration went along with 

299
00:16:58,640 --> 00:17:02,280
that based on so supposedly the 
expert testimony of all these 

300
00:17:02,280 --> 00:17:04,119
people. 
Colin Paul, you know went to the

301
00:17:04,119 --> 00:17:07,119
UN and made the case kind of 
unsuccessfully. 

302
00:17:07,119 --> 00:17:09,680
No one really, you know, 
believed his his PowerPoint 

303
00:17:09,680 --> 00:17:12,480
presentation. 
But in the US it really, it 

304
00:17:12,480 --> 00:17:18,680
really took on, you know you you
frighten people enough and this 

305
00:17:18,680 --> 00:17:21,440
is a key element to what 
happened with COVID too. 

306
00:17:21,440 --> 00:17:23,839
You, you instill in them the 
fear of death and they will, 

307
00:17:23,839 --> 00:17:26,839
basically. 
Sign on for just about anything.

308
00:17:26,839 --> 00:17:28,960
So that's what started the War 
on Terror. 

309
00:17:28,960 --> 00:17:32,800
It went on for 20 years. 
So, so many more people were 

310
00:17:32,800 --> 00:17:34,920
killed in the War on Terror than
were killed on 911. 

311
00:17:35,240 --> 00:17:39,200
And it's another really good 
example of you have a fact the 

312
00:17:39,200 --> 00:17:42,160
Twin Towers were taken down. 
We had this horrible event on 

313
00:17:42,160 --> 00:17:46,660
September 11th, 2001. 
Khache the, you know, truthers, 

314
00:17:46,660 --> 00:17:48,460
We're just going to assume that 
it it really happened. 

315
00:17:48,460 --> 00:17:51,420
OK, so, so it really happened. 
We were attacked by Osama bin 

316
00:17:51,420 --> 00:17:53,460
Laden. 
And then the question is, what 

317
00:17:53,460 --> 00:17:55,700
do we do? 
What should we do? 

318
00:17:56,140 --> 00:18:00,060
And of course, you know, for 
people who had been chomping on 

319
00:18:00,060 --> 00:18:06,020
the bit to to attack Saddam 
Hussein and to, you know, launch

320
00:18:06,020 --> 00:18:10,020
a major initiative in the Middle
East, this was the perfect 

321
00:18:10,020 --> 00:18:14,490
opportunity. 
Yes, excellent, excellent answer

322
00:18:14,490 --> 00:18:15,210
there. 
Okay. 

323
00:18:15,490 --> 00:18:21,370
So how can we verify or test the
hypothesis that mask mandates 

324
00:18:21,370 --> 00:18:23,850
save lives? 
Okay. 

325
00:18:24,050 --> 00:18:27,090
You have to look at places where
they were used and look at 

326
00:18:27,130 --> 00:18:30,050
places where they were not used 
and look at the outcomes. 

327
00:18:30,050 --> 00:18:34,410
And this was done throughout the
period for for about two years. 

328
00:18:34,650 --> 00:18:37,010
People were comparing states, 
Okay so states. 

329
00:18:37,590 --> 00:18:40,190
The United States actually is 
structured to be able to test 

330
00:18:40,190 --> 00:18:42,910
some of these these things 
because we have different state 

331
00:18:43,030 --> 00:18:45,830
government, you know, 
regulations than federal. 

332
00:18:45,830 --> 00:18:48,870
A lot, a lot of places don't 
have that privilege. 

333
00:18:48,870 --> 00:18:52,590
So in the United States, there 
were states which never had mass

334
00:18:52,630 --> 00:18:55,150
mandates or had them only maybe 
for like a week and then they 

335
00:18:55,150 --> 00:18:57,310
stopped. 
And then we had states that had 

336
00:18:57,310 --> 00:19:00,790
them the whole time all the way 
up until like 2023, you know, in

337
00:19:00,830 --> 00:19:03,750
some, in some places, in some 
places in California and New 

338
00:19:03,750 --> 00:19:05,190
York. 
I mean, it was really bad so. 

339
00:19:06,040 --> 00:19:09,440
So what you do is you compare 
places scientifically. 

340
00:19:09,440 --> 00:19:11,040
You want to do a scientific 
study of this okay. 

341
00:19:11,040 --> 00:19:13,560
So you want to look at places 
where masks were used and places

342
00:19:13,560 --> 00:19:15,840
where masks weren't used. 
And you try to isolate the 

343
00:19:15,840 --> 00:19:18,320
variables as best you can, and 
then you see what were the 

344
00:19:18,320 --> 00:19:21,920
outcomes. 
So if if there was a 

345
00:19:21,920 --> 00:19:26,040
catastrophic amount of death in 
the place where no masks were 

346
00:19:26,040 --> 00:19:29,560
used, and there was hardly any 
death in the place where masks 

347
00:19:29,560 --> 00:19:31,800
were used, and this would give 
you evidence for believing that 

348
00:19:31,800 --> 00:19:35,120
masks are actually an effective 
way to. 

349
00:19:35,980 --> 00:19:40,500
To contend with the virus. 
If that's not the result you 

350
00:19:40,500 --> 00:19:44,700
see, then you have to ask 
yourself whether in fact they're

351
00:19:44,700 --> 00:19:46,700
effective, and if they're if 
they don't appear to be 

352
00:19:46,700 --> 00:19:49,740
effective, you can investigate 
further into why that might be 

353
00:19:49,740 --> 00:19:51,940
the case. 
So one reason that might not be 

354
00:19:51,940 --> 00:19:56,300
the case is that the mask 
mandates in place were very 

355
00:19:56,300 --> 00:19:58,060
loose. 
So you could wear a bandana, You

356
00:19:58,060 --> 00:20:00,220
could wear like a piece of cloth
that had. 

357
00:20:00,650 --> 00:20:03,490
Pores that were larger than the 
size of the virus that 

358
00:20:03,490 --> 00:20:06,250
supposedly the masks were 
protecting against. 

359
00:20:06,250 --> 00:20:09,050
So obviously that's absurd. 
You know, if the virus can 

360
00:20:09,330 --> 00:20:12,290
travel through the through the 
cloth, then it's not protecting 

361
00:20:12,290 --> 00:20:13,570
anyone. 
When you wear a bandana, it's 

362
00:20:13,570 --> 00:20:16,610
just for show as found, she said
early on in in 2020. 

363
00:20:17,690 --> 00:20:21,170
You know, his first statement on
mask was that, oh, you just do 

364
00:20:21,170 --> 00:20:23,130
it to make people feel better 
psychologically. 

365
00:20:24,170 --> 00:20:27,170
He said that on 60 Minutes in 
March of 2020. 

366
00:20:27,810 --> 00:20:30,530
Yeah, no. 
Yeah, exactly. 

367
00:20:30,530 --> 00:20:33,410
So and then later, you know, 
they backtracked and said, oh, 

368
00:20:33,410 --> 00:20:37,130
he only said that to prevent a 
PPE personal protective 

369
00:20:37,130 --> 00:20:40,210
equipment shortage in hospitals.
So that was his explanation. 

370
00:20:40,210 --> 00:20:42,970
But The thing is, the guy, like,
lied so many times throughout 

371
00:20:42,970 --> 00:20:46,730
that you just, like never had 
any idea when he was telling the

372
00:20:46,730 --> 00:20:49,290
truth or when he was sincere. 
He's a very smooth liar. 

373
00:20:49,410 --> 00:20:52,610
Like when he lied, he often, 
like, came back and admitted 

374
00:20:52,610 --> 00:20:55,910
that he lied. 
But then he's just as sincere, 

375
00:20:55,910 --> 00:20:57,670
right? 
So you like, was he lying then 

376
00:20:57,710 --> 00:21:00,230
or is he lying now? 
You know you never knew with 

377
00:21:00,230 --> 00:21:03,430
him. 
That that one was so incredible 

378
00:21:03,430 --> 00:21:06,230
because he could have said 
something like look. 

379
00:21:06,750 --> 00:21:10,110
I looked at the information. 
I gave my honest opinion. 

380
00:21:10,110 --> 00:21:12,590
That's what it was at the time. 
But because I'm a scientist, I 

381
00:21:12,590 --> 00:21:15,990
continue to research, question 
my premises and here is my most 

382
00:21:15,990 --> 00:21:19,150
recent conclusion. 
I'm donating my last year salary

383
00:21:19,150 --> 00:21:23,710
to a a Health Organization 
because I really screwed up. 

384
00:21:23,750 --> 00:21:25,430
I'm a public servant. 
I'm so sorry. 

385
00:21:25,670 --> 00:21:28,710
But instead he just said, well, 
that was to prevent a shortage 

386
00:21:28,990 --> 00:21:31,870
okay. 
So you're explicitly on board 

387
00:21:31,990 --> 00:21:35,710
with the noble lie being 
completely a completely 

388
00:21:35,710 --> 00:21:38,030
justifiable approach. 
To public policy. 

389
00:21:38,270 --> 00:21:40,550
Okay. 
Now what should I do, Mr. Fauci?

390
00:21:41,030 --> 00:21:43,150
I only spent 15 years building 
this business. 

391
00:21:43,150 --> 00:21:44,510
I should lock it down. 
Okay. 

392
00:21:44,670 --> 00:21:47,110
Let me know when you can give me
the keys back. 

393
00:21:48,030 --> 00:21:49,470
No, I know. 
It was incredible. 

394
00:21:49,910 --> 00:21:52,270
The whole thing was incredible. 
I don't know if you got to the 

395
00:21:53,310 --> 00:21:55,770
Is it the. 
Yeah. 

396
00:21:55,770 --> 00:21:57,610
It's the penultimate chapter of 
my book. 

397
00:21:57,610 --> 00:22:00,010
It's called Launched on a Wing 
and a Prayer for Billions of 

398
00:22:00,010 --> 00:22:01,570
Dollars. 
I'm not sure whether you got all

399
00:22:01,570 --> 00:22:04,050
the way through but this you 
have to read it if you haven't 

400
00:22:04,050 --> 00:22:06,770
ready yet because this is this 
is like the day new mall of the 

401
00:22:06,770 --> 00:22:07,770
story. 
It's so great. 

402
00:22:07,770 --> 00:22:13,130
It's about OK, so I I sort of 
set it up and say you know I saw

403
00:22:13,130 --> 00:22:16,290
these articles early in 2020. 
Some of them have disappeared. 

404
00:22:16,290 --> 00:22:19,540
There were articles about like 
if they didn't get to work and 

405
00:22:19,540 --> 00:22:22,580
make the vaccine quickly, then 
the then the virus would mutate 

406
00:22:22,580 --> 00:22:24,580
and they'd miss out on the 
opportunity of making a 

407
00:22:24,580 --> 00:22:26,620
blockbuster. 
So I read lots of business 

408
00:22:26,620 --> 00:22:29,500
articles way back in spring 
talking from a business 

409
00:22:29,500 --> 00:22:31,860
perspective about how COVID was 
this great opportunity. 

410
00:22:32,620 --> 00:22:34,100
Many of those have disappeared 
from Google. 

411
00:22:34,100 --> 00:22:37,300
You can't find them. 
But there was there's one that I

412
00:22:37,300 --> 00:22:40,060
found that was titled 
Coronavirus mutation could 

413
00:22:40,060 --> 00:22:42,060
threaten the race to develop 
that vaccine. 

414
00:22:42,380 --> 00:22:46,540
But what gets what is most 
unbelievable is that in January 

415
00:22:46,540 --> 00:22:52,020
2023 an article came out peer 
reviewed scientific article 

416
00:22:52,020 --> 00:22:56,500
which says in effect that 
viruses that replicate and I'll 

417
00:22:56,500 --> 00:22:58,700
just read those viruses that 
replicate in the human 

418
00:22:58,700 --> 00:23:00,540
respiratory mucus. 
So without infecting 

419
00:23:00,540 --> 00:23:04,380
systemically, including 
influenza A, SARS, COVID 2, 

420
00:23:04,420 --> 00:23:08,740
COVID-19, endemic coronaviruses,
RSV and many other common cold 

421
00:23:08,740 --> 00:23:11,940
viruses cause significant 
mortality and morbidity and are 

422
00:23:11,940 --> 00:23:15,630
important public health concerns
because these viruses generally 

423
00:23:15,630 --> 00:23:19,590
do not elicit complete and 
durable protective immunity by 

424
00:23:19,590 --> 00:23:21,710
themselves. 
They have not, to date, been 

425
00:23:21,710 --> 00:23:24,230
effectively controlled by 
licensed or experimental 

426
00:23:24,230 --> 00:23:26,590
vaccines. 
So this sounds like okay. 

427
00:23:26,590 --> 00:23:30,350
So you're saying basically there
was never a possibility that 

428
00:23:30,350 --> 00:23:32,310
COVID could have been controlled
by a vaccine? 

429
00:23:32,310 --> 00:23:35,470
That's what this article is 
saying that it's it's its 

430
00:23:35,470 --> 00:23:40,800
structure, it's rapidly mutating
quality, and the fact that it's 

431
00:23:40,960 --> 00:23:43,960
relatively weak, it kills .5% of
people. 

432
00:23:43,960 --> 00:23:49,240
So it's the human body launches 
the minimal needed response to 

433
00:23:49,240 --> 00:23:52,560
rid itself of the invader, and 
then it moves on. 

434
00:23:52,760 --> 00:23:57,800
So this is the explanation for 
why every year you can get a flu

435
00:23:57,800 --> 00:24:00,200
shot. 
But getting a flu shot this year

436
00:24:00,940 --> 00:24:03,540
or getting the flu this year has
no bearing on whether you're 

437
00:24:03,540 --> 00:24:05,820
going to get flu next year, 
because the flu mutates so 

438
00:24:05,820 --> 00:24:09,500
rapidly and your body doesn't 
mount a permanent response to 

439
00:24:09,500 --> 00:24:12,580
it. 
So since your body does not ever

440
00:24:12,780 --> 00:24:15,700
mount a permanent response to 
these sorts of viruses, you 

441
00:24:15,700 --> 00:24:18,740
can't actually create an 
effective vaccine, because 

442
00:24:18,740 --> 00:24:22,460
vaccines of course, utilize your
immune system. 

443
00:24:22,460 --> 00:24:26,380
And so it's the it's the same 
technology the vaccine provokes 

444
00:24:26,420 --> 00:24:29,940
your immune system to respond 
and that's going to protect you 

445
00:24:29,940 --> 00:24:32,260
in the short term. 
And as we know, the COVID 

446
00:24:32,260 --> 00:24:34,700
vaccines protected people only 
for a few months and then they 

447
00:24:34,700 --> 00:24:38,700
had to get boosters or whatever.
So, so the what's what's amazing

448
00:24:38,700 --> 00:24:41,540
about this article is that it 
was coauthored by Anthony Fauci.

449
00:24:42,460 --> 00:24:45,180
So. 
So it's an incredible conclusion

450
00:24:45,180 --> 00:24:47,820
to the story where he in effect,
there are two ways of 

451
00:24:47,820 --> 00:24:50,940
understanding it. 
You can say, OK, so Fauci is 

452
00:24:50,940 --> 00:24:53,420
admitting defeat. 
He realized he believed in the 

453
00:24:53,420 --> 00:24:56,850
vaccines, but he realizes now 
that you can't actually have a 

454
00:24:56,850 --> 00:25:02,810
vaccine against COVID, or he 
actually knew all along or, you 

455
00:25:02,810 --> 00:25:04,970
know, and all he tried to do 
basically throughout the 

456
00:25:04,970 --> 00:25:08,330
pandemic was sell vaccines. 
So there are two very different 

457
00:25:08,330 --> 00:25:10,130
ways of understanding what went 
on there. 

458
00:25:10,130 --> 00:25:12,650
In a way it's a Corribtus and 
Silla for him. 

459
00:25:12,930 --> 00:25:16,650
Because, you know, if he admits 
that he didn't know what was 

460
00:25:16,650 --> 00:25:20,530
known by many virologists way 
back in 2020, he didn't know 

461
00:25:20,530 --> 00:25:24,800
that then he really had no 
business serving as our fount of

462
00:25:25,000 --> 00:25:27,960
public health wisdom. 
And if he did know, then it 

463
00:25:27,960 --> 00:25:30,800
shows he's completely corrupt, 
you know, and and completely 

464
00:25:30,880 --> 00:25:33,880
moved, driven by financial 
interest. 

465
00:25:35,120 --> 00:25:39,280
When it comes to finding 
comparative examples for a 

466
00:25:39,320 --> 00:25:43,290
controlled experiment. 
The one that comes to mind would

467
00:25:43,290 --> 00:25:47,690
either be California verse New 
York or California or California

468
00:25:47,690 --> 00:25:49,850
New York verse a place like 
Florida. 

469
00:25:49,850 --> 00:25:53,690
Because I know Christie gnome in
either North or South Dakota had

470
00:25:53,690 --> 00:25:56,340
like no lockdowns. 
However, when it comes to the 

471
00:25:56,340 --> 00:26:00,460
population density, it's 
extremely difficult to to 

472
00:26:00,460 --> 00:26:02,820
compare those. 
Also, Florida has a much older 

473
00:26:02,820 --> 00:26:06,300
population than California, so 
of course there's no perfect 

474
00:26:06,300 --> 00:26:08,660
controlled experiment with 
something like this. 

475
00:26:08,900 --> 00:26:13,420
What is the best controlled 
experiment we can use and what 

476
00:26:13,420 --> 00:26:16,940
can that teach us about 
lockdowns, mask mandates and 

477
00:26:16,940 --> 00:26:20,770
vaccine mandates? 
Sweden, Sweden versus the rest 

478
00:26:20,770 --> 00:26:21,490
of Europe. 
OK. 

479
00:26:21,490 --> 00:26:24,370
Sweden did not lock down. 
They had one of the best 

480
00:26:24,370 --> 00:26:26,770
outcomes in Europe. 
So all of Europe, you know, they

481
00:26:26,770 --> 00:26:29,290
were in lockstep except for 
Sweden and Sweden. 

482
00:26:29,330 --> 00:26:31,330
You, you may remember the press 
at the time. 

483
00:26:31,330 --> 00:26:33,090
They really, like, dragged 
Sweden. 

484
00:26:33,090 --> 00:26:35,650
Oh, they're killing their, their
population, you know, blah, 

485
00:26:35,650 --> 00:26:38,370
blah, blah. 
It's like it's murder, you know,

486
00:26:38,370 --> 00:26:40,570
so. 
And they ended up doing, like 

487
00:26:40,570 --> 00:26:42,970
much better than most of the 
other European countries. 

488
00:26:42,970 --> 00:26:48,390
So they had no lockdowns. 
They, I don't think they had 

489
00:26:48,390 --> 00:26:51,550
mask mandates either. 
And so if you compare Sweden, 

490
00:26:51,870 --> 00:26:55,750
it's you can, you can find, you 
know, similarly sized European 

491
00:26:55,750 --> 00:26:59,630
countries that went whole hog. 
You know, they had like massive 

492
00:26:59,630 --> 00:27:01,430
lockdowns. 
You couldn't like leave your 

493
00:27:01,430 --> 00:27:02,950
house. 
You couldn't go to the grocery 

494
00:27:02,950 --> 00:27:04,790
store. 
You had to wear a mask. 

495
00:27:04,790 --> 00:27:08,190
You had to use a tracking app. 
You know if you got near anyone 

496
00:27:08,190 --> 00:27:11,230
you know and if you compare 
them, actually Sweden did 

497
00:27:11,230 --> 00:27:14,120
better. 
So that's a real life example. 

498
00:27:14,120 --> 00:27:16,800
That's science based because you
can compare. 

499
00:27:16,880 --> 00:27:18,800
You're right, you can never 
completely. 

500
00:27:20,080 --> 00:27:22,760
You can't find 2 identical cases
because there are no two 

501
00:27:22,760 --> 00:27:24,760
identical countries or two 
identical states. 

502
00:27:24,760 --> 00:27:27,560
But you can correct for the 
differences. 

503
00:27:27,560 --> 00:27:30,360
And and same with Florida, when 
people say that you know Florida

504
00:27:30,600 --> 00:27:33,000
did bad, they're not correcting 
for the age of the population 

505
00:27:33,000 --> 00:27:37,900
because COVID is much more 
dangerous to people in the 

506
00:27:38,980 --> 00:27:43,020
cohort of retirees which 
populate much of Florida. 

507
00:27:43,020 --> 00:27:48,820
So you can't just go by like per
capita mortality in that case, 

508
00:27:48,820 --> 00:27:53,860
you have to adjust for age. 
So in Sweden, you know, given 

509
00:27:53,860 --> 00:27:59,220
that the population is similar 
in terms of demographics, you 

510
00:27:59,220 --> 00:28:02,090
know, in terms of his age 
breakdown, everything, you can 

511
00:28:02,090 --> 00:28:05,130
compare to many of the other 
European countries and find that

512
00:28:05,130 --> 00:28:08,610
Sweden actually actually did 
better, especially when you look

513
00:28:08,610 --> 00:28:11,770
at not only virus deaths but 
also nonvirus deaths. 

514
00:28:11,770 --> 00:28:17,330
So nonvirus deaths were excess 
deaths caused by political 

515
00:28:17,850 --> 00:28:19,410
measures. 
You know, like this poor woman 

516
00:28:19,410 --> 00:28:23,720
you featured at the opening of 
our interview who lost your 

517
00:28:23,720 --> 00:28:25,760
business. 
There are lots of people who 

518
00:28:25,760 --> 00:28:28,400
lost their businesses. 
I thought it was thousands, but 

519
00:28:28,400 --> 00:28:30,040
somewhere I think it was 
brownstone. 

520
00:28:30,040 --> 00:28:34,280
I read that it's actually 3.5 
billion, Could that be right? 

521
00:28:34,280 --> 00:28:38,920
No 3.5 million businesses were 
were permanently shuttered. 

522
00:28:39,280 --> 00:28:43,080
So, and I'm not sure if that was
for the, I'm not sure exactly 

523
00:28:43,080 --> 00:28:45,280
what that covered, but I believe
that it's true because there are

524
00:28:45,280 --> 00:28:48,740
tons and tons of people and you 
can actually see some, you know,

525
00:28:48,740 --> 00:28:51,060
sort of empirical evidence when 
you go through any major US 

526
00:28:51,060 --> 00:28:53,180
city, all the shuttered stores 
that are still there. 

527
00:28:53,460 --> 00:28:56,260
So all those people lost 
everything. 

528
00:28:57,380 --> 00:29:00,580
All right, so a little more on 
the experts. 

529
00:29:00,580 --> 00:29:05,020
The Atlantic says Georgia's 
experiment in human sacrifice. 

530
00:29:05,020 --> 00:29:08,660
The state is about to find out 
how many people need to lose 

531
00:29:08,820 --> 00:29:12,100
their lives to shore up the 
economy. 

532
00:29:12,100 --> 00:29:16,460
Thank you, Amanda Mull. 
This was published April 29th of

533
00:29:16,540 --> 00:29:20,370
2020. 
When I look at Georgia, I can go

534
00:29:20,370 --> 00:29:25,370
to April. 
So here is March, April of 2020.

535
00:29:25,370 --> 00:29:30,570
This is from usafax.org. 
Here on the screen you will see 

536
00:29:30,890 --> 00:29:32,610
where let's get as close as we 
can. 

537
00:29:32,810 --> 00:29:38,490
So here is April 29th, almost 
exactly. 

538
00:29:39,250 --> 00:29:43,440
We had an average of 662. 
Cases. 

539
00:29:43,840 --> 00:29:47,480
Looking at this graph on your 
screen, Lori, is there any 

540
00:29:47,480 --> 00:29:51,480
correlation between lockdowns? 
No lockdowns. 

541
00:29:51,880 --> 00:29:55,360
Is there any lesson we can learn
from Georgia's experiment in 

542
00:29:55,360 --> 00:29:58,440
human sacrifice being one of the
earlier states to open up? 

543
00:29:59,840 --> 00:30:01,800
No. 
And in fact you can look at all 

544
00:30:01,800 --> 00:30:06,920
of the states that there are 
some people who have quite 

545
00:30:06,920 --> 00:30:09,880
diligently tracked all of this 
data, You know, all the 

546
00:30:09,880 --> 00:30:11,800
lockdowns and oh, you have it 
right there, there we go. 

547
00:30:11,800 --> 00:30:16,560
So people have graphed this 
throughout the pandemic and and 

548
00:30:16,560 --> 00:30:19,200
discovered that in fact there's 
nothing to discover. 

549
00:30:19,200 --> 00:30:23,480
There is no pattern that the the
virus was completely untamable 

550
00:30:23,480 --> 00:30:26,920
and it wasn't affected by things
like whether a state allowed 

551
00:30:26,920 --> 00:30:30,360
there to be outdoor concerts or 
whether beaches were closed. 

552
00:30:30,360 --> 00:30:32,080
It wasn't affected by any of 
these things. 

553
00:30:32,400 --> 00:30:36,520
The virus was just out there 
circulating around the the 

554
00:30:36,520 --> 00:30:38,280
mitigation measures did not 
work. 

555
00:30:38,360 --> 00:30:41,520
Even the vaccines did not work. 
The vaccines were supposedly, 

556
00:30:41,520 --> 00:30:45,760
you know, going to save us from,
you know, the boogeyman of 

557
00:30:45,760 --> 00:30:48,200
COVID-19. 
There were more COVID deaths 

558
00:30:48,240 --> 00:30:50,280
after the vaccines were widely 
distributed. 

559
00:30:50,280 --> 00:30:53,080
Even in places where they were, 
there was almost universal 

560
00:30:53,160 --> 00:30:55,440
uptake, for example, Israel and 
Gibraltar. 

561
00:30:55,720 --> 00:30:59,080
So basically, the vaccines 
didn't save us, The masks didn't

562
00:30:59,080 --> 00:31:00,760
save us. 
The lockdowns didn't save us. 

563
00:31:01,120 --> 00:31:08,390
The the, the virus killed old 
and sick people and obese people

564
00:31:08,830 --> 00:31:13,510
at, you know, an unfortunate 
rate, but it also killed them at

565
00:31:13,510 --> 00:31:18,270
a rate that's very similar to 
their deaths by the seasonal 

566
00:31:18,270 --> 00:31:21,590
flu. 
So what happened though is I I 

567
00:31:21,590 --> 00:31:26,430
think because they called this a
pandemic and they made 

568
00:31:26,430 --> 00:31:30,710
everything seem so much more 
dire than it was, that people 

569
00:31:30,710 --> 00:31:32,670
really panicked. 
And that's why the subtitle of 

570
00:31:32,670 --> 00:31:35,190
my book is Critical Thinking in 
Hysterical Times. 

571
00:31:35,190 --> 00:31:37,150
People really became hysterical 
over this. 

572
00:31:37,190 --> 00:31:39,350
And you know, you can just look 
at all the pictures of people 

573
00:31:39,350 --> 00:31:44,750
wearing, you know, 5 masks and 
hazmat suits and dining behind 

574
00:31:44,750 --> 00:31:46,870
plexiglass. 
I mean, it just went on and on. 

575
00:31:47,870 --> 00:31:50,990
People playing musical 
instruments with a mask in front

576
00:31:50,990 --> 00:31:51,910
of them. 
I mean, they were just like 

577
00:31:51,910 --> 00:31:54,830
really crazy things that people 
were doing because they were 

578
00:31:54,830 --> 00:31:58,990
completely discombobulated by 
the amount of fearmongering 

579
00:31:58,990 --> 00:32:02,960
propaganda to which they were 
subjected for for years. 

580
00:32:02,960 --> 00:32:06,040
I mean, it wasn't just like 2 
weeks, it was like it went on 

581
00:32:06,040 --> 00:32:07,400
and on and on. 
Every time you turned on your 

582
00:32:07,400 --> 00:32:11,720
TV, you would see death ticker 
tapes and there was never any 

583
00:32:12,240 --> 00:32:15,720
attempt to place the number of 
deaths into context. 

584
00:32:15,720 --> 00:32:17,920
So how many people were dying 
per day? 

585
00:32:17,920 --> 00:32:20,800
Before COVID, people didn't know
that because people didn't pay 

586
00:32:20,800 --> 00:32:24,560
attention to the number of flu 
deaths among elderly people 

587
00:32:24,600 --> 00:32:26,440
before COVID. 
Actually, they they didn't pay 

588
00:32:26,480 --> 00:32:28,520
attention to that either because
they stopped dying of flu. 

589
00:32:28,520 --> 00:32:31,230
They all died of COVID but, or 
most of them. 

590
00:32:31,630 --> 00:32:35,550
So basically, since people had 
no idea how many people usually 

591
00:32:35,550 --> 00:32:38,550
die every day, they were 
completely freaked out by these 

592
00:32:38,550 --> 00:32:41,670
ticker tapes of death on the 
television that went on and on. 

593
00:32:41,670 --> 00:32:42,990
And they were locked in their 
homes. 

594
00:32:43,230 --> 00:32:45,750
So all they did was watch TV and
think about death. 

595
00:32:46,190 --> 00:32:50,920
I mean, it was unbelievable. 
So when it comes to how many 

596
00:32:50,920 --> 00:32:54,760
people die per day, just as a 
reference point, the number that

597
00:32:54,760 --> 00:32:57,480
I found, I can't. 
It's not coming to me now. 

598
00:32:57,480 --> 00:33:01,280
I think it was in the world 
population review. 167,000 

599
00:33:01,280 --> 00:33:05,160
people across the planet die 
every day, which is extremely 

600
00:33:05,160 --> 00:33:09,000
tragic and I am sad for 
basically all of those. 

601
00:33:09,360 --> 00:33:13,040
However, when you don't even 
have a reference point, 100,000 

602
00:33:13,040 --> 00:33:16,900
people just died. 
You have no ability to 

603
00:33:16,900 --> 00:33:18,780
determine, well what could 
happen. 

604
00:33:18,780 --> 00:33:21,700
Even if it is a billion people 
die in one day. 

605
00:33:22,100 --> 00:33:24,980
That doesn't justify Gavin 
Newsom locking you and your 

606
00:33:24,980 --> 00:33:28,860
house while he's at the French 
Laundry restaurant with the With

607
00:33:28,900 --> 00:33:30,980
No Mask. 
One of the first things that 

608
00:33:30,980 --> 00:33:35,180
really got me thinking that we 
are in sort of like a critical 

609
00:33:35,300 --> 00:33:40,620
or hysterical time, as as you 
call it, was I went to the 

610
00:33:40,660 --> 00:33:43,940
restaurant that my friends and I
always go to, Charleston's and. 

611
00:33:44,280 --> 00:33:46,960
Arizona, unfortunately, I have 
not been back. 

612
00:33:47,280 --> 00:33:50,880
But we walk in and they say, I'm
sorry, we can't serve you 

613
00:33:50,880 --> 00:33:52,840
without a mask. 
And I look around and I said 

614
00:33:53,560 --> 00:33:57,760
even though none of the other 
customers are wearing a mask, we

615
00:33:57,760 --> 00:34:00,560
have to wear when they go, Oh 
no, no, no, they're sitting down

616
00:34:00,680 --> 00:34:03,800
and you just have to wear it 
until you get to your seat. 

617
00:34:04,240 --> 00:34:07,280
And I said, hold on. 
I don't know anything about 

618
00:34:07,280 --> 00:34:12,000
virology, however. 
This felt like me saying, hey, 

619
00:34:12,000 --> 00:34:15,159
you don't know anything about 
economics, but give me 100% of 

620
00:34:15,159 --> 00:34:18,679
your income and I'll just triple
it by tomorrow. 

621
00:34:18,679 --> 00:34:21,320
It's like okay, even if you've 
never studied economics, that 

622
00:34:21,320 --> 00:34:23,480
just seems fake. 
So when they said that to me, I 

623
00:34:23,480 --> 00:34:27,480
go so to walk 10 feet, I can 
literally see the chairs we've 

624
00:34:27,480 --> 00:34:30,040
been sitting in every other 
Saturday for like 2 years. 

625
00:34:30,560 --> 00:34:35,360
I go sit down and then for three
hours we don't wear a mask. 

626
00:34:35,480 --> 00:34:38,239
Do we have to wear it when we 
get up to walk outside and they 

627
00:34:38,239 --> 00:34:39,830
go? 
Well, once you've paid your 

628
00:34:39,830 --> 00:34:40,909
bill, there's not much we can 
do. 

629
00:34:40,909 --> 00:34:43,550
But we do ask that you wear it, 
including if you get up to go to

630
00:34:43,550 --> 00:34:44,350
the restroom. 
I go. 

631
00:34:45,230 --> 00:34:48,949
I don't know how to analyze 
this, but this sounds ridiculous

632
00:34:48,989 --> 00:34:52,070
and maybe I am. 
Totally no the case, I don't 

633
00:34:52,150 --> 00:34:53,710
think. 
So I think that's nonsense. 

634
00:34:54,429 --> 00:34:58,890
Yeah. 
No, I, you know, I think your 

635
00:34:58,890 --> 00:35:01,530
intuition is right there. 
I mean basically, you know, I 

636
00:35:02,090 --> 00:35:05,450
some of this just goes back to 
to chemistry 101, you know, like

637
00:35:05,650 --> 00:35:07,610
molecules just disperse in the 
air. 

638
00:35:07,610 --> 00:35:10,290
So this was one of the most 
shocking things when I, when I 

639
00:35:10,690 --> 00:35:13,850
relocated from Austria to the 
UK, I was in England for a while

640
00:35:13,850 --> 00:35:15,490
and sharing them, which is a 
village, OK. 

641
00:35:15,490 --> 00:35:17,010
It's on the East Coast of 
England. 

642
00:35:17,610 --> 00:35:20,250
And I was walking on the pier 
and they had these like big 

643
00:35:20,250 --> 00:35:24,130
circular stickers all along. 
The pier, mind you sharing them,

644
00:35:24,130 --> 00:35:27,340
has a population of I think 5, 
5000 people. 

645
00:35:27,540 --> 00:35:31,380
So maybe you'll see like two 
people on on the on the pier, on

646
00:35:31,380 --> 00:35:34,700
the shore there at a time. 
And so they're really spread 

647
00:35:34,700 --> 00:35:36,060
out. 
So if they're breathing, they're

648
00:35:36,140 --> 00:35:40,460
obviously their molecules are 
are mingling with like a vast 

649
00:35:40,460 --> 00:35:42,900
volume of air. 
Like the chance that your 

650
00:35:42,900 --> 00:35:46,060
little, you know, COVID piece of
dust is going to hit someone on 

651
00:35:46,060 --> 00:35:49,160
the pier is like it's it's like 
infinitesimally small. 

652
00:35:49,160 --> 00:35:51,200
There's just like no way it 
can't happen because there's so 

653
00:35:51,200 --> 00:35:54,920
much air the the waves are 
rushing in against the on the 

654
00:35:54,920 --> 00:35:57,200
beach, you know, so the waves 
are like shaking up there. 

655
00:35:57,240 --> 00:35:59,880
There's just no way you can get 
COVID from someone on the beach.

656
00:36:00,160 --> 00:36:02,760
And yet in sharing on this 
little teeny village, they had 

657
00:36:02,760 --> 00:36:06,240
these big stickers all around 
where you're supposed to, like, 

658
00:36:06,440 --> 00:36:08,360
keep your distance, you know, 
from people. 

659
00:36:08,600 --> 00:36:10,440
And it was all over the village.
They were all over the 

660
00:36:10,440 --> 00:36:12,280
sidewalks, They were in all the 
stores. 

661
00:36:12,480 --> 00:36:15,200
And I just thought to myself, 
how in the world did this 

662
00:36:15,200 --> 00:36:16,960
happen? 
How did these stickers get 

663
00:36:16,960 --> 00:36:20,930
placed in this obscure little 
village on the East Coast of 

664
00:36:20,930 --> 00:36:22,650
England? 
And yeah, the same thing is 

665
00:36:22,650 --> 00:36:24,890
happening like, all over the 
world simultaneously. 

666
00:36:25,010 --> 00:36:26,530
And I was like, this is really 
nuts. 

667
00:36:26,530 --> 00:36:29,570
Like what is going on here? 
So that, you know, those were 

668
00:36:29,570 --> 00:36:32,290
some of the first things that I 
observed, just complete 

669
00:36:32,290 --> 00:36:34,570
craziness when I was. 
I finally went back to the 

670
00:36:34,570 --> 00:36:38,880
United States because Boris 
Johnson ordered a a Country down

671
00:36:38,880 --> 00:36:41,440
lockdown which made it illegal 
for me to go anywhere and he 

672
00:36:41,440 --> 00:36:44,560
also closed all the hotels. 
So I I either had to like shack 

673
00:36:44,560 --> 00:36:47,520
up with my artist friends in 
London forever or just like go 

674
00:36:47,520 --> 00:36:48,920
home. 
So I finally came back to the US

675
00:36:49,280 --> 00:36:52,920
and I was in Abington, PA and I 
would go out during the day and 

676
00:36:52,920 --> 00:36:54,880
like walk up the street. 
There was a TJMaxx up the 

677
00:36:54,880 --> 00:36:56,440
street. 
They had a sign on their door 

678
00:36:56,640 --> 00:37:01,430
that said that they would only 
admit 163 people at a time. 

679
00:37:01,670 --> 00:37:05,350
And I was just like like who who
did this like 3 significant 

680
00:37:05,390 --> 00:37:08,150
digit calculation of how many 
people are allowed to go 

681
00:37:08,150 --> 00:37:10,910
shopping in TJMX? 
I mean, the whole thing was so 

682
00:37:10,910 --> 00:37:13,470
ludicrous. 
I I should say it was funny. 

683
00:37:13,470 --> 00:37:16,150
But it was also tragic because 
so many people lost their 

684
00:37:16,150 --> 00:37:20,110
livelihood through this, through
the ever shifting rules and 

685
00:37:20,110 --> 00:37:23,990
regulations on businesses who 
were forced to close down for, 

686
00:37:23,990 --> 00:37:27,160
you know, serving customers. 
Even though, as you said, 

687
00:37:27,160 --> 00:37:29,720
there's lots of hypocrisy. 
And that Nancy Pelosi went to 

688
00:37:29,720 --> 00:37:32,680
the beauty salon, right as 
another example. 

689
00:37:33,560 --> 00:37:38,240
Glory Lightfoot. 
Yeah, so, so, so anyway, you 

690
00:37:38,240 --> 00:37:39,680
know, the hypocrisy just didn't 
stop. 

691
00:37:39,680 --> 00:37:42,600
But also just the absurdity. 
But the whole thing was so 

692
00:37:42,600 --> 00:37:44,720
ludicrous. 
And I I laughed. 

693
00:37:44,720 --> 00:37:47,720
But again, I have to say, it was
also equally tragic, you know, 

694
00:37:47,720 --> 00:37:50,240
for all the people who who lost 
their shirts through this, 

695
00:37:50,240 --> 00:37:52,440
because anyone who was in the 
gig economy, they didn't have 

696
00:37:52,440 --> 00:37:54,980
any sort of protection, They 
didn't have a pension, they 

697
00:37:54,980 --> 00:37:59,500
didn't have savings, they were 
barely making ends, ends meet 

698
00:38:00,340 --> 00:38:03,380
and they lost everything. 
It's really sad. 

699
00:38:04,500 --> 00:38:06,700
They did. 
Do you remember? 

700
00:38:06,740 --> 00:38:10,100
I haven't talked about this, so 
I'm trying to remember exactly 

701
00:38:10,100 --> 00:38:13,300
what my position was because I 
remember being very pissed off 

702
00:38:13,300 --> 00:38:16,580
at the time. 
But I seem to remember AOC 

703
00:38:16,580 --> 00:38:20,220
giving an interview and all the 
experts saying what you want to 

704
00:38:20,220 --> 00:38:21,180
do. 
There's a new thing. 

705
00:38:21,180 --> 00:38:24,960
It's called Coronavirus. 
And the way to keep yourself 

706
00:38:24,960 --> 00:38:29,000
safe is to not touch the three 
doors to your system. 

707
00:38:29,240 --> 00:38:32,200
Eyes, nose and mouth. 
Always keep your hands clean. 

708
00:38:32,440 --> 00:38:34,920
Don't touch your face or 
anything. 

709
00:38:35,440 --> 00:38:39,800
And then that just dropped. 
And now it was all about masks 

710
00:38:39,800 --> 00:38:44,440
and saying staying 6 feet apart.
They had actually said, here's 

711
00:38:44,440 --> 00:38:46,320
what you do, always wash your 
hands. 

712
00:38:46,810 --> 00:38:49,490
And then stop saying that and 
then never mentioned it again. 

713
00:38:49,490 --> 00:38:51,090
Do you remember that's what's 
happening? 

714
00:38:51,090 --> 00:38:54,690
Or is this just a lot of no, a 
lot of this stuff happened? 

715
00:38:54,690 --> 00:38:56,690
No, no, no. 
I think that probably did 

716
00:38:56,690 --> 00:38:58,370
happen. 
I mean, there were so many crazy

717
00:38:58,370 --> 00:39:01,730
things that happened. 
And the most important point, 

718
00:39:01,730 --> 00:39:05,290
though, is that they kept 
shifting the guidelines and they

719
00:39:05,290 --> 00:39:10,170
kept changing the directives. 
So this kept people in a 

720
00:39:10,170 --> 00:39:13,010
constant state of uncertainty. 
What can I do? 

721
00:39:13,010 --> 00:39:14,850
What can I not do? 
What's legal? 

722
00:39:14,850 --> 00:39:17,270
What's illegal? 
Can I go somewhere? 

723
00:39:17,270 --> 00:39:19,630
Can I go shopping? 
I mean, it was really, really 

724
00:39:19,630 --> 00:39:23,030
crazy and it kept people on the 
edge of their seats, just very 

725
00:39:23,030 --> 00:39:27,390
nervous about what to do up 
until the vaccines arrived. 

726
00:39:27,390 --> 00:39:29,310
OK. 
So basically this was all a 

727
00:39:29,310 --> 00:39:32,830
preamble to vaccine update. 
So uptake. 

728
00:39:32,830 --> 00:39:35,590
So the minute the vaccines were 
available, all these people, 

729
00:39:35,830 --> 00:39:38,870
many of whom were not vulnerable
at all to the coronavirus 

730
00:39:38,870 --> 00:39:41,670
because they're young and 
healthy, lined up to get their 

731
00:39:41,670 --> 00:39:43,910
vaccines. 
And so that's because they, they

732
00:39:43,910 --> 00:39:47,880
had been told by the powers that
be that the vaccine was like the

733
00:39:47,880 --> 00:39:51,000
solution to the crisis. 
So people like Tony Blair, 

734
00:39:51,120 --> 00:39:55,800
former Prime Minister Tony Blair
of the UK, he said, you know, 

735
00:39:56,400 --> 00:39:59,640
vaccine, passports will be our 
ticket to freedom. 

736
00:39:59,800 --> 00:40:04,480
You know, as, as though he, he 
actually owns our freedom. 

737
00:40:04,480 --> 00:40:06,560
He's going to tell us what we 
can do and what we cannot do. 

738
00:40:06,600 --> 00:40:11,080
I mean, it was all part of this 
big push for for vaccines and 

739
00:40:11,080 --> 00:40:12,920
then ultimately this kind of 
passport. 

740
00:40:13,430 --> 00:40:17,030
System where our behavior can be
controlled in the future. 

741
00:40:17,030 --> 00:40:19,990
It's actually a little bit 
frightening looking back at what

742
00:40:19,990 --> 00:40:23,590
went on because the level of 
hysteria that was generated 

743
00:40:23,590 --> 00:40:26,950
through propaganda and its 
pervasiveness and its 

744
00:40:26,950 --> 00:40:32,830
effectiveness in getting people 
to promote the what I call the 

745
00:40:32,830 --> 00:40:35,310
COVID company line is 
unbelievable. 

746
00:40:35,310 --> 00:40:40,110
Like the amount of divisiveness,
the anger, the enmity, I mean 

747
00:40:40,110 --> 00:40:43,800
some, in some cases it was acted
upon when people would shout 

748
00:40:43,800 --> 00:40:50,360
people out of stores and etc. 
And people became very polarized

749
00:40:50,360 --> 00:40:53,240
and alienated throughout this 
entire period of of history. 

750
00:40:53,240 --> 00:40:57,640
And it was, it was very 
frightening for everyone. 

751
00:40:57,640 --> 00:41:01,980
And then the people who didn't 
comply were set up as the evil 

752
00:41:01,980 --> 00:41:03,940
enemy. 
So the very same template that 

753
00:41:03,940 --> 00:41:07,820
we've seen in the year in in 
wars, you know forever where you

754
00:41:07,820 --> 00:41:12,780
have good and evil and you have 
you're either with us or you're 

755
00:41:12,780 --> 00:41:15,780
against us. 
And the anti, the quote UN quote

756
00:41:15,780 --> 00:41:19,060
anti vaxxers were people who 
exhibited vaccine hesitancy. 

757
00:41:19,060 --> 00:41:22,940
In fact, they exhibit hesitancy 
to taking it, to taking an 

758
00:41:22,940 --> 00:41:27,050
experimental remedy for which 
they had no need according to 

759
00:41:27,050 --> 00:41:30,490
all available statistical data. 
Right, Because their chances of 

760
00:41:30,490 --> 00:41:35,530
surviving COVID were already 
99.5% in many cases, or they had

761
00:41:35,530 --> 00:41:38,610
already survived COVID. 
If you had already had COVID, 

762
00:41:38,930 --> 00:41:43,050
that meant that your protection 
was insured. 

763
00:41:43,250 --> 00:41:45,090
It was. 
It was demonstrated by the fact 

764
00:41:45,090 --> 00:41:48,010
that you were no longer sick, so
you had you had to have created 

765
00:41:48,050 --> 00:41:50,010
antibodies and T cells, 
otherwise you would still be 

766
00:41:50,010 --> 00:41:52,970
sick or you would have died. 
And yet they pretended that 

767
00:41:52,970 --> 00:41:56,210
natural immunity had no 
relevance somehow to this, even 

768
00:41:56,210 --> 00:42:02,530
though the effectiveness of any 
vaccine is based upon natural 

769
00:42:02,530 --> 00:42:04,730
immunity. 
If if the if the immune system 

770
00:42:04,730 --> 00:42:06,930
didn't work, then the and then 
no vaccine could work, because 

771
00:42:07,050 --> 00:42:10,450
the only thing a vaccine does is
it provokes your immune system 

772
00:42:10,850 --> 00:42:13,490
to get to work. 
So if you've already survived 

773
00:42:13,490 --> 00:42:16,330
the virus, you've already 
generated antibodies and T cells

774
00:42:16,330 --> 00:42:19,810
in response. 
And yet these socalled experts 

775
00:42:19,930 --> 00:42:22,210
were telling us that, oh, we 
don't know about natural 

776
00:42:22,210 --> 00:42:23,890
immunity. 
I mean, it was really, really 

777
00:42:23,890 --> 00:42:25,490
crazy. 
And these sorts of 

778
00:42:25,490 --> 00:42:28,090
contradictions are are what led 
me to keep writing about this 

779
00:42:28,130 --> 00:42:30,970
and just trying to solve the 
puzzle, to solve the mystery of 

780
00:42:30,970 --> 00:42:34,570
what was going on around us. 
And it was one of those things, 

781
00:42:34,570 --> 00:42:38,210
like the vaccine that we wait 
for is the cure. 

782
00:42:38,540 --> 00:42:40,500
So there's nothing else you can 
do. 

783
00:42:40,500 --> 00:42:42,140
Exercise. 
Forget about it. 

784
00:42:42,820 --> 00:42:45,620
Avoiding carbs. 
I'm not even going to comment on

785
00:42:45,620 --> 00:42:47,140
that. 
That has nothing to do with 

786
00:42:47,140 --> 00:42:50,260
health at all. 
Wait until this vaccine comes 

787
00:42:50,260 --> 00:42:50,740
out. 
All right. 

788
00:42:50,740 --> 00:42:53,340
Good news, audience, you don't 
have to unsubscribe. 

789
00:42:53,340 --> 00:42:56,780
I'm not crazy how touching your 
face can spread the virus and 

790
00:42:56,780 --> 00:42:59,140
why it's so bad. 
And you should avoid it from 

791
00:42:59,140 --> 00:43:03,100
March of 2020. 
And then here is the LA Times 

792
00:43:03,100 --> 00:43:05,700
and New York Times. 
Stop touching your face. 

793
00:43:05,700 --> 00:43:07,100
It's an easy way to spread the 
virus. 

794
00:43:07,100 --> 00:43:08,020
How? 
Coronavirus. 

795
00:43:08,410 --> 00:43:12,330
Can and cannot spread sex 
sneezing, surface face touching.

796
00:43:12,530 --> 00:43:16,930
So this is these are both from 
March of 2020 and look again if 

797
00:43:16,930 --> 00:43:18,970
they had just said, look, here's
what we thought. 

798
00:43:19,010 --> 00:43:22,370
We did some science and it turns
out we were incorrect and now 

799
00:43:22,370 --> 00:43:25,570
we're correcting ourselves. 
The fact that they didn't is so 

800
00:43:25,730 --> 00:43:30,650
damaging to the reputation that 
it it's just what Johnny Cochran

801
00:43:30,650 --> 00:43:32,570
told us years ago. 
It goes looks, it's all about 

802
00:43:32,570 --> 00:43:34,370
credibility. 
That's all you have. 

803
00:43:34,370 --> 00:43:37,130
I don't know if even if I'm 
reading a study. 

804
00:43:37,590 --> 00:43:40,430
And it's a peer reviewed. 
Well, those are written by 

805
00:43:40,430 --> 00:43:44,590
people and people are fallible. 
So how do we know what's true 

806
00:43:44,590 --> 00:43:46,710
and what's not? 
A huge thing is reputation and 

807
00:43:46,710 --> 00:43:49,550
the people with the worst 
reputation on planet Earth. 

808
00:43:49,830 --> 00:43:53,230
We're saying there's nothing you
can do until you get this shot 

809
00:43:53,230 --> 00:43:57,750
and align the pockets of Pfizer 
and Moderna and Glaxo Smith 

810
00:43:57,750 --> 00:44:00,390
Kline. 
So just take the shot. 

811
00:44:00,510 --> 00:44:02,720
Wouldn't we tell you to? 
You guys had. 

812
00:44:02,720 --> 00:44:04,360
That's such a terrible 
reputation. 

813
00:44:04,360 --> 00:44:08,000
This is Bernie Madoff asking you
to invest, and we're totally 

814
00:44:08,000 --> 00:44:10,720
skeptical and they're like, how 
dare you? 

815
00:44:10,720 --> 00:44:12,800
He's been an investment banker 
for decades. 

816
00:44:12,880 --> 00:44:16,750
He knows what he's doing. 
That's like, that's a perfect 

817
00:44:16,750 --> 00:44:18,950
example because Pfizer paid the 
largest. 

818
00:44:19,430 --> 00:44:23,870
Yeah, Pfizer paid the largest 
fine for healthcare fraud in the

819
00:44:23,870 --> 00:44:26,950
history of the world. 
And yet they just every all 

820
00:44:26,950 --> 00:44:29,670
these supposed experts, you 
know, are saying, oh, Pfizer, 

821
00:44:29,670 --> 00:44:32,510
they're they're like, you know, 
worshipping Albert Borla, the 

822
00:44:32,510 --> 00:44:36,350
CEO, or Stefan Bansal of 
Moderna, who never had a product

823
00:44:36,350 --> 00:44:38,350
go to market before the COVID 
vaccine. 

824
00:44:38,510 --> 00:44:41,510
He never made it to market. 
None of his, none of his 

825
00:44:41,510 --> 00:44:43,510
products ever got out of the 
animal trials. 

826
00:44:43,930 --> 00:44:47,570
The only reason he became a 
billionaire during COVID because

827
00:44:47,570 --> 00:44:50,010
governments bought so many of 
his shots. 

828
00:44:50,690 --> 00:44:52,730
So. 
So you're absolutely right with 

829
00:44:52,730 --> 00:44:55,570
this with the history of this 
industry and like the 

830
00:44:55,570 --> 00:44:59,330
shenanigans that went on, it's 
it's it's awe inspiring that 

831
00:44:59,330 --> 00:45:02,770
people got, got taken into it. 
And the only way I can explain 

832
00:45:02,770 --> 00:45:06,770
it is through the complete 
discombobulation that was caused

833
00:45:06,770 --> 00:45:11,570
by fear mongering propaganda. 
It's it was very similar to post

834
00:45:11,570 --> 00:45:15,410
911 people were really out of 
sorts after 911 everyone was 

835
00:45:15,410 --> 00:45:18,810
just kind of disoriented. 
They're like what's going on, 

836
00:45:18,810 --> 00:45:21,130
you know if I go to the mall, is
there going to be a terrorist 

837
00:45:21,130 --> 00:45:22,290
attack? 
Like people were really 

838
00:45:22,290 --> 00:45:26,290
frightened for for like months, 
they were kind of traumatized. 

839
00:45:26,690 --> 00:45:30,810
And what happened was with 
COVID, a similar, a similar 

840
00:45:31,130 --> 00:45:35,130
phenomenon where people were so 
afraid of death suddenly that 

841
00:45:35,130 --> 00:45:38,930
they would they would exceed to 
anything. 

842
00:45:39,290 --> 00:45:43,730
So even when it flew in the face
of common sense and just basic 

843
00:45:43,730 --> 00:45:47,450
precepts of science, they wanted
an answer and they wanted 

844
00:45:47,450 --> 00:45:49,970
someone who who would guide them
through the pandemic. 

845
00:45:49,970 --> 00:45:52,730
That was Anthony Fauci here in 
the United States and they 

846
00:45:52,730 --> 00:45:55,530
wanted to believe in him. 
So This is why we had this 

847
00:45:55,530 --> 00:46:00,530
phenomenon of people buying 
Anthony Fauci, Anthony Fauci 

848
00:46:00,530 --> 00:46:03,450
paraphernalia. 
They had like votive candles and

849
00:46:03,810 --> 00:46:07,490
you know, basically they erected
him as a kind of St. 

850
00:46:07,850 --> 00:46:11,010
And so it really became very, 
very cult like. 

851
00:46:11,010 --> 00:46:14,890
I mean we used that word cult 
like probably too much, but this

852
00:46:14,890 --> 00:46:17,250
is a clear case where it really 
was cult behavior. 

853
00:46:17,490 --> 00:46:20,170
I mean, it was like there were 
the outsiders and the insiders. 

854
00:46:20,690 --> 00:46:23,370
And if you're an outsider, you 
were evil and they didn't have 

855
00:46:23,370 --> 00:46:24,890
to talk to you. 
You couldn't actually have a 

856
00:46:24,890 --> 00:46:26,690
conversation with people because
you were evil. 

857
00:46:26,690 --> 00:46:28,450
They had to stay away from you. 
So. 

858
00:46:28,810 --> 00:46:31,890
So it was very cold. 
Like, there was one solution. 

859
00:46:31,890 --> 00:46:36,650
And Anthony Fauci was the the 
source of the science. 

860
00:46:36,690 --> 00:46:39,090
And so you had to listen to 
whatever Anthony Fauci said. 

861
00:46:39,090 --> 00:46:41,930
And if he said pee one day, then
pee was true. 

862
00:46:42,050 --> 00:46:44,930
And if he said not pee the next 
day, then not pee was true. 

863
00:46:45,130 --> 00:46:47,650
You just had to forget what went
on before because you had to 

864
00:46:47,650 --> 00:46:50,550
believe in Fauci. 
It was the worst sort of 

865
00:46:50,550 --> 00:46:53,470
scientism. 
Scientism is the elevation of 

866
00:46:53,470 --> 00:46:57,190
science to the status of a 
religion where you're no longer 

867
00:46:57,190 --> 00:47:00,950
actually in this skeptical 
investigative mode, but instead 

868
00:47:01,070 --> 00:47:04,510
you have accepted that you have 
arrived at the final truth. 

869
00:47:04,710 --> 00:47:06,710
There's not going to be any more
investigation. 

870
00:47:07,430 --> 00:47:10,630
The censorship is a perfect 
example of scientific 

871
00:47:10,630 --> 00:47:12,390
tendencies. 
When you stop having 

872
00:47:12,390 --> 00:47:16,070
conversations, when you shut 
down dissent, that's where 

873
00:47:16,070 --> 00:47:18,830
science comes to an end. 
And now scientism has taken 

874
00:47:18,830 --> 00:47:23,390
over, because science in science
requires an ongoing dialogue. 

875
00:47:23,390 --> 00:47:26,510
There's no way that you're 
you're following the science if 

876
00:47:26,510 --> 00:47:28,910
you're not having conversations.
And if you're not considering 

877
00:47:28,910 --> 00:47:32,470
new data as it comes in, if you 
just stick with the March 2020 

878
00:47:32,470 --> 00:47:35,630
narrative, you've just adopted a
religion. 

879
00:47:35,670 --> 00:47:38,670
That's not science. 
And and they would always use 

880
00:47:38,670 --> 00:47:42,070
that fear of the authorities and
not being popular. 

881
00:47:42,070 --> 00:47:44,470
They they would merge that, you 
know, fear of people being 

882
00:47:44,470 --> 00:47:47,270
isolated with fear of not being 
liked by those in power. 

883
00:47:47,470 --> 00:47:51,510
It was exactly like 17 
intelligence agencies have 

884
00:47:51,510 --> 00:47:55,390
confirmed Donald Trump has 
colluded with Vladimir Putin in 

885
00:47:55,390 --> 00:47:56,870
hacking Hillary Clinton's 
e-mail. 

886
00:47:56,870 --> 00:48:00,980
I go. 17 said this I go, I can't
wait to see what they say. 

887
00:48:00,980 --> 00:48:02,980
And then none of them came out 
to defend it. 

888
00:48:02,980 --> 00:48:06,020
And then the New York Times 
redacted it one one year later. 

889
00:48:06,260 --> 00:48:07,700
I didn't mean to get into a no 
no no. 

890
00:48:08,180 --> 00:48:09,900
But that's actually a really 
good example. 

891
00:48:10,580 --> 00:48:13,420
Because, she said on the 
presidential debate Stage 17 

892
00:48:13,500 --> 00:48:15,060
intelligence agency, remember 
that. 

893
00:48:15,380 --> 00:48:16,980
And then Joe Biden. 
Four years later. 

894
00:48:16,980 --> 00:48:21,980
Russia Gate 2.0 said Putin has 
bounties on the head of American

895
00:48:21,980 --> 00:48:25,420
soldiers in Afghanistan, and 50 
intelligence officials confirmed

896
00:48:25,420 --> 00:48:27,700
that the Hunter Biden laptop is 
a Russian. 

897
00:48:27,780 --> 00:48:31,380
Planned just they just lie. 
The experts yeah no they do lie 

898
00:48:31,380 --> 00:48:33,220
and they even sometimes admit 
that they lie. 

899
00:48:33,220 --> 00:48:35,180
So. 
So there's this great clip of 

900
00:48:35,340 --> 00:48:39,620
Mike Pompeo where he's he's at 
some event and he said when he 

901
00:48:39,620 --> 00:48:42,100
was director of the CIA he said 
we lie we cheat. 

902
00:48:42,100 --> 00:48:45,140
We still we have entire courses.
I mean they actually admit that 

903
00:48:45,140 --> 00:48:47,620
they do this and then the 
question is why does anyone 

904
00:48:47,620 --> 00:48:50,580
believe anything that they say. 
So another really good example 

905
00:48:50,580 --> 00:48:52,780
is Nord Stream Okay. 
So initially, the US take on 

906
00:48:52,780 --> 00:48:56,780
Nord Stream was Russia did it. 
Russia sabotaged the North 

907
00:48:56,780 --> 00:48:59,420
Stream pipelines. 
This was the US take for like 

908
00:48:59,420 --> 00:49:01,820
months. 
And then Seymour Hers arrives. 

909
00:49:02,140 --> 00:49:04,020
He says no, actually, here's how
it happened. 

910
00:49:04,020 --> 00:49:06,420
I have a whistleblower, Here's 
the detailed chronology, here's 

911
00:49:06,420 --> 00:49:10,180
the mechanism, here's how it 
happened with the help of the 

912
00:49:10,180 --> 00:49:13,650
CIA. 
And then suddenly it's like, I 

913
00:49:13,650 --> 00:49:15,730
guess we could better come up 
with another story. 

914
00:49:15,730 --> 00:49:18,690
So there's this new yacht theory
where this handful of people in 

915
00:49:18,690 --> 00:49:20,970
a yacht did it. 
And you know, in the end, the US

916
00:49:20,970 --> 00:49:22,730
admits, oh, actually it was 
Ukraine. 

917
00:49:22,730 --> 00:49:24,850
We knew it was Ukraine all 
along, but we just said it was 

918
00:49:24,850 --> 00:49:26,970
Russia. 
So it's like, should we believe 

919
00:49:26,970 --> 00:49:29,530
you now or should we believe you
then or should we just never 

920
00:49:29,530 --> 00:49:30,810
believe you? 
Because clearly you're 

921
00:49:30,810 --> 00:49:33,730
pathological liars and you're 
very good at lying in the way 

922
00:49:33,730 --> 00:49:36,690
that Anthony Anthony Fauci is. 
I mean, if he's if he, if he 

923
00:49:36,690 --> 00:49:40,540
knew he was lying about the 
masks, then he's a very 

924
00:49:40,540 --> 00:49:43,140
accomplished liar because he 
says things very sincerely. 

925
00:49:43,140 --> 00:49:46,340
And it's the same with our, our 
foreign policy spokespersons 

926
00:49:46,340 --> 00:49:48,380
when they get up there and say, 
yeah, Russia blew up the North 

927
00:49:48,380 --> 00:49:51,620
Stream pipeline, you know, so, 
so then you ask yourself, like, 

928
00:49:51,700 --> 00:49:54,380
why would they do that? 
And so the explanation is 

929
00:49:54,380 --> 00:49:57,900
supposed to be, well, Putin is 
evil and he's underhanded and he

930
00:49:57,900 --> 00:49:59,820
wants to generate sympathy for 
Russia. 

931
00:49:59,820 --> 00:50:02,620
So they have a whole, like, 
explanation of why Russia would 

932
00:50:02,620 --> 00:50:05,620
have sabotage the North Stream 
pipelines until it turns out 

933
00:50:05,620 --> 00:50:08,660
that in fact, he didn't. 
So and then they come up with a 

934
00:50:08,660 --> 00:50:10,260
new story. 
Yeah. 

935
00:50:10,260 --> 00:50:14,140
And and the fact that they never
apologize or clarify or resign 

936
00:50:14,140 --> 00:50:18,060
is why you can put it in the 
category of nefarious actors as 

937
00:50:18,060 --> 00:50:20,300
opposed to they're human. 
They're fallible. 

938
00:50:21,960 --> 00:50:24,800
Where is this apology? 
Sorry, I locked everyone down 

939
00:50:24,800 --> 00:50:27,400
unnecessarily. 
Well, I guess I'll have to pay 

940
00:50:27,400 --> 00:50:30,440
some reparations when it comes 
to the vaccine issue. 

941
00:50:30,800 --> 00:50:35,720
The biggest vaccine skeptics 
seem to be the people who were 

942
00:50:35,760 --> 00:50:38,600
big supporters of the vaccine. 
They said I'm getting this, I 

943
00:50:38,600 --> 00:50:41,480
can't wait to get it, but mine 
is not. 

944
00:50:41,520 --> 00:50:44,440
It's actually not effective 
unless everyone else gets it. 

945
00:50:44,870 --> 00:50:47,830
So they had less confidence that
this was going to protect them 

946
00:50:48,110 --> 00:50:50,270
then the average person who 
didn't get it. 

947
00:50:50,350 --> 00:50:52,510
In my estimation, I don't have 
much to back that up. 

948
00:50:52,750 --> 00:50:55,990
But when I saw so many examples 
of it, these people who got the 

949
00:50:55,990 --> 00:50:59,470
vaccine were so extraordinarily 
insecure about the level of 

950
00:51:00,070 --> 00:51:04,870
efficacy and safety that it was 
going to have on them that it it

951
00:51:04,870 --> 00:51:07,430
just seemed mindblowing when I 
was reading the book. 

952
00:51:07,920 --> 00:51:11,720
Page 138 caught my eye. 
You mentioned the inexplicable 

953
00:51:11,720 --> 00:51:15,400
success story of largely 
unvaccinated Africa. 

954
00:51:15,520 --> 00:51:18,920
What can we learn from the 50 
plus African countries when it 

955
00:51:18,920 --> 00:51:23,310
comes to the vaccine? 
Yeah, they had very low vaccine 

956
00:51:23,350 --> 00:51:28,350
uptake, partly because of their,
you know, poor economic 

957
00:51:28,350 --> 00:51:31,470
situation, but also partly 
because they're very wary of 

958
00:51:31,470 --> 00:51:34,390
vaccines because a lot of 
experimentation has gone on in 

959
00:51:34,390 --> 00:51:36,030
the third world. 
And so there are people who are 

960
00:51:36,030 --> 00:51:39,070
like, I'm staying very, very far
away from Pfizer or don't. 

961
00:51:39,070 --> 00:51:41,190
No, thank you. 
We'll weather the storm on our 

962
00:51:41,190 --> 00:51:44,790
own. 
So another thing that was 

963
00:51:45,310 --> 00:51:47,950
different, you know, if you want
to compare different cases and 

964
00:51:47,990 --> 00:51:51,480
and how the circumstances 
different differed and then the 

965
00:51:51,480 --> 00:51:54,640
outcomes were different. 
Different in in Africa, 

966
00:51:55,760 --> 00:51:59,200
hydroxychloroquine and 
ivermectin, these are 

967
00:51:59,200 --> 00:52:02,280
medications that are used 
regularly, you know, in 

968
00:52:02,280 --> 00:52:06,240
combating and preventing malaria
and other diseases that we don't

969
00:52:06,240 --> 00:52:09,080
have in the West. 
And because you know, it's 

970
00:52:09,080 --> 00:52:12,240
entirely possible that people 
were protected by these things, 

971
00:52:13,000 --> 00:52:16,120
but those were outlawed in the 
US because we were only allowed 

972
00:52:16,120 --> 00:52:18,560
to have the vaccine. 
So if you if you had a Doctor 

973
00:52:18,560 --> 00:52:21,400
Who thought, oh, let's do some 
preventative work here, you 

974
00:52:21,400 --> 00:52:23,240
know, like Doctor Peter 
McCullough and some other 

975
00:52:23,240 --> 00:52:26,880
people, they had some, they 
devised some regimens to help 

976
00:52:26,880 --> 00:52:29,920
people so they they wouldn't get
to the point of being so sick. 

977
00:52:29,920 --> 00:52:31,840
They would have to go to the 
hospital and then they'd be 

978
00:52:31,840 --> 00:52:35,720
ventilated and be killed by 
either that or REM Desver, REM 

979
00:52:36,280 --> 00:52:38,640
Remistever or whatever that. 
That REM desever. 

980
00:52:39,500 --> 00:52:42,900
Thank you, Remdesivir, the 
antiviral component, which is 

981
00:52:42,900 --> 00:52:44,300
actually toxic and kill a lot of
people. 

982
00:52:44,300 --> 00:52:47,060
So. 
So when people wanted to use 

983
00:52:47,060 --> 00:52:50,260
these things, Joe Rogan, of 
course, famously said that he 

984
00:52:50,260 --> 00:52:53,980
used ivermectin, I believe. 
Was it hydroxy? 

985
00:52:54,260 --> 00:52:54,780
Yeah. 
Okay. 

986
00:52:54,780 --> 00:52:57,020
So yeah. 
He said it was ivermectin and 

987
00:52:57,020 --> 00:52:59,650
they said that's for horses, 
right, exactly. 

988
00:52:59,850 --> 00:53:03,370
But it's a medication that I 
guess won an award. 

989
00:53:03,370 --> 00:53:07,650
I think someone actually got the
Nobel Prize for for inventing it

990
00:53:07,770 --> 00:53:10,410
because it cured so many things.
It's really good for a lot of 

991
00:53:10,410 --> 00:53:14,530
the insect borne diseases in 
Africa and stuff. 

992
00:53:14,530 --> 00:53:19,250
So, so in Africa you know they 
just didn't have this tsunami of

993
00:53:19,250 --> 00:53:23,450
deaths from COVID. 
People survived and so there 

994
00:53:23,450 --> 00:53:27,370
were some non virus deaths in 
places what like Kenya where 

995
00:53:27,370 --> 00:53:31,950
they actually had lockdowns and 
stuff, which was crazy because a

996
00:53:31,950 --> 00:53:35,110
lot of the population lives in 
shanty towns which are open air.

997
00:53:35,150 --> 00:53:37,070
So it does it. 
How does it help you to have a 

998
00:53:37,070 --> 00:53:39,550
lockdown in a shanty town? 
I mean it absolutely doesn't. 

999
00:53:39,550 --> 00:53:42,310
So. 
But they were, you know, 

1000
00:53:42,310 --> 00:53:44,470
following the examples of the 
West. 

1001
00:53:44,510 --> 00:53:48,910
And in those places, there were 
some excess deaths, but they 

1002
00:53:48,910 --> 00:53:50,870
were not. 
They were not from the virus. 

1003
00:53:50,870 --> 00:53:53,190
They were from the political 
measures locking people down, 

1004
00:53:53,190 --> 00:53:54,830
destroying their means of 
livelihood. 

1005
00:53:56,030 --> 00:53:59,200
So Oh, thank you. 
I from Mectin, A multifaceted 

1006
00:53:59,200 --> 00:54:01,920
drug of Nobel Prize honored 
distinction with indicated 

1007
00:54:01,920 --> 00:54:02,560
efficacy. 
Yeah. 

1008
00:54:02,560 --> 00:54:04,280
So. 
Oh, there we are. 

1009
00:54:04,360 --> 00:54:09,640
So, so, so, you know, there are 
people, the die hard branch 

1010
00:54:09,640 --> 00:54:12,320
comedians, They'll still come 
forth and say, oh, the reason 

1011
00:54:12,320 --> 00:54:15,080
why Africa did better is because
they have a much younger 

1012
00:54:15,080 --> 00:54:17,520
population. 
That's their explanation. 

1013
00:54:17,520 --> 00:54:19,880
It's not. 
You know, it's not fair to say 

1014
00:54:19,880 --> 00:54:23,280
that Africa did better because 
they're their average resident 

1015
00:54:23,280 --> 00:54:27,820
is much, much younger and but 
what they do is they they fall 

1016
00:54:27,820 --> 00:54:31,660
into the trap of admitting that 
children are not vulnerable to 

1017
00:54:31,660 --> 00:54:34,460
Coven 19. 
And therefore, there's no way in

1018
00:54:34,460 --> 00:54:38,180
hell that the Coven 19 shots 
should be on the formulary for 

1019
00:54:38,180 --> 00:54:40,620
childhood immunization, that 
they were put on the 

1020
00:54:41,100 --> 00:54:45,340
immunization schedule before the
emergency use authorization 

1021
00:54:45,340 --> 00:54:49,100
expired, which protects the 
companies for perpetuity. 

1022
00:54:49,100 --> 00:54:52,420
And anything that makes it on to
the child immunization schedule 

1023
00:54:52,860 --> 00:54:57,580
protects the manufacturer from 
lawsuits forever. 

1024
00:54:58,180 --> 00:55:01,140
So this is another case where 
it's really, really shady 

1025
00:55:01,140 --> 00:55:05,820
because kids are not vulnerable 
to COVID-19 and now it's on the 

1026
00:55:05,820 --> 00:55:08,860
it's a recommended list, but the
fact that it's recommended by 

1027
00:55:08,860 --> 00:55:12,420
people who are regarded as 
experts means that there are 

1028
00:55:12,420 --> 00:55:14,420
states where they will be 
required now. 

1029
00:55:14,700 --> 00:55:18,900
So they're required to have the 
first COVID-19 shot, which which

1030
00:55:18,900 --> 00:55:22,660
was formulated against a variant
that no longer exists, that no 

1031
00:55:22,660 --> 00:55:24,420
longer exists. 
So you're getting a shot that 

1032
00:55:24,420 --> 00:55:27,940
actually serves 0 purpose beyond
inducing your body's production 

1033
00:55:27,940 --> 00:55:30,420
of spike protein. 
And if you're unlucky, you'll 

1034
00:55:30,420 --> 00:55:33,900
get blood clots or myocarditis. 
But you know, if you're lucky, 

1035
00:55:33,900 --> 00:55:35,860
it will just be innocuous. 
But it's certainly not going to 

1036
00:55:35,860 --> 00:55:38,660
protect you against anything if 
the original virus no longer 

1037
00:55:38,660 --> 00:55:41,360
exists. 
But in addition to the original 

1038
00:55:41,920 --> 00:55:45,240
virus vaccine, which is required
on the form or recommended on 

1039
00:55:45,240 --> 00:55:47,920
the formulary for children, 
they're also saying a booster 

1040
00:55:47,920 --> 00:55:49,880
shot. 
So you're supposed to be getting

1041
00:55:49,880 --> 00:55:53,640
COVID shots from the time you're
six months, you know, all the 

1042
00:55:53,640 --> 00:55:56,600
way until you're adult. 
Which means, as I argue in my 

1043
00:55:56,600 --> 00:56:00,880
book, they are setting these 
children up to be Guinea pigs, 

1044
00:56:01,080 --> 00:56:03,360
to be Guinea pigs throughout 
their entire childhood, because 

1045
00:56:03,400 --> 00:56:08,440
every booster is of necessity, a
an experimental trial. 

1046
00:56:10,510 --> 00:56:12,870
Okay. 
So when it comes to testing 

1047
00:56:12,870 --> 00:56:18,550
whether or not the vax saved 
lives, what is a way that we 

1048
00:56:18,550 --> 00:56:22,310
could falsify that? 
Looking at people who roughly 

1049
00:56:22,310 --> 00:56:26,630
weigh the same in the same age 
group and compare a million vax 

1050
00:56:26,630 --> 00:56:31,030
people to unvaxed and we should 
see way more deaths among the 

1051
00:56:31,630 --> 00:56:33,310
unvaxed. 
What what are? 

1052
00:56:33,310 --> 00:56:37,340
What is a way we can actually? 
Test lockdowns are fake and evil

1053
00:56:37,340 --> 00:56:39,340
and unjustified, along with mass
mandates. 

1054
00:56:39,500 --> 00:56:42,940
When it comes to the VACS, how 
can we verify whether or not it 

1055
00:56:42,940 --> 00:56:47,220
was as safe and effective and 
mandatory as they promised us it

1056
00:56:47,220 --> 00:56:50,900
would be? 
Yeah, Well, I mean, the data 

1057
00:56:50,900 --> 00:56:53,660
certainly suggests that it 
wasn't effective. 

1058
00:56:53,660 --> 00:56:59,180
Lots of people who were doubly 
triply and quadruple VACS died 

1059
00:56:59,730 --> 00:57:01,170
Okay. 
So right there you have that 

1060
00:57:01,290 --> 00:57:04,730
that fact, it did not prevent 
death and people who had the 

1061
00:57:04,730 --> 00:57:09,050
vaccine died and people who 
didn't have the vaccine lived. 

1062
00:57:09,050 --> 00:57:12,290
And so you if you want to 
compare the numbers, you would 

1063
00:57:12,290 --> 00:57:16,730
have to, I suppose you would 
really have to look at the 

1064
00:57:16,730 --> 00:57:20,130
original placebo trial which 
they ruined the the companies 

1065
00:57:20,130 --> 00:57:25,960
ruined the placebo trial by by 
by providing the vaccine to the 

1066
00:57:25,960 --> 00:57:28,200
placebo group. 
So instead of following it 

1067
00:57:28,200 --> 00:57:31,840
through and finding out you 
know, like you know what happens

1068
00:57:31,960 --> 00:57:34,520
if you didn't vaccinate people, 
they actually they yeah, they 

1069
00:57:35,560 --> 00:57:38,440
they unblinded it and they gave 
all the placebo people the 

1070
00:57:38,440 --> 00:57:39,800
vaccine. 
So there's no way you can 

1071
00:57:39,800 --> 00:57:41,640
compare from the original trial.
That's impossible. 

1072
00:57:41,640 --> 00:57:45,680
They destroyed the ability to to
make the comparison that way and

1073
00:57:45,680 --> 00:57:47,560
you might, you know, be a little
bit suspicious. 

1074
00:57:47,560 --> 00:57:49,680
Why would you want to do that? 
Why would you not want to know 

1075
00:57:49,680 --> 00:57:52,610
the truth? 
And of course their pretext, I'm

1076
00:57:52,610 --> 00:57:55,250
sure, was that, oh, we want to 
provide them with this 

1077
00:57:55,250 --> 00:57:59,130
medication to save their life. 
But the fact is, the CDC's own 

1078
00:58:00,010 --> 00:58:06,290
death data, statistical data on 
on deaths by age group shows 

1079
00:58:06,290 --> 00:58:09,450
that most people were never 
actually going to die of COVID, 

1080
00:58:09,450 --> 00:58:11,010
whether or not they had the 
vaccine. 

1081
00:58:11,570 --> 00:58:17,450
So I mean ultimately if you 
wanted a really clean 

1082
00:58:17,930 --> 00:58:21,060
comparison, you would have to 
study what happened to the 

1083
00:58:21,060 --> 00:58:24,900
placebo group, people who didn't
get the vaccine and compared to 

1084
00:58:24,900 --> 00:58:27,860
the people who did get the 
vaccine, It's it's it's a mess. 

1085
00:58:27,860 --> 00:58:30,300
You can't do it with the 
original trial group because 

1086
00:58:30,300 --> 00:58:33,940
they gave the placebo people the
vaccine. 

1087
00:58:34,180 --> 00:58:40,620
But you could, I suppose, try to
just figure out what percentage 

1088
00:58:40,620 --> 00:58:45,760
of people in each group who died
had the vaccine in in in what 

1089
00:58:45,760 --> 00:58:47,600
percentage didn't have the 
vaccine. 

1090
00:58:47,600 --> 00:58:49,280
You could do it that way. 
I mean, it's going to people are

1091
00:58:49,280 --> 00:58:51,360
going to be crunching these 
numbers for decades. 

1092
00:58:51,720 --> 00:58:54,960
It's very, very complicated. 
But what one thing we do know is

1093
00:58:54,960 --> 00:58:58,960
that a lot of people who died 
had been vaccinated and a lot of

1094
00:58:58,960 --> 00:59:01,160
people who weren't vaccinated 
survived. 

1095
00:59:01,160 --> 00:59:06,000
So you know. 
Yeah, which is not what they 

1096
00:59:06,400 --> 00:59:08,320
predicted before, which is not 
what they told. 

1097
00:59:08,320 --> 00:59:12,640
So when when Joe Biden came out 
around Christmas 2021 and said 

1098
00:59:12,640 --> 00:59:16,160
the unvaccinated can expect a 
winter of severe illness and 

1099
00:59:16,160 --> 00:59:19,000
death, he was wrong. 
Lots of people who weren't 

1100
00:59:19,000 --> 00:59:22,760
vaccinated survived that winter.
And it was in in some cases it 

1101
00:59:22,760 --> 00:59:26,400
was because perhaps because they
had survived the virus. 

1102
00:59:26,400 --> 00:59:28,160
But that actually proves the 
point. 

1103
00:59:28,320 --> 00:59:30,040
They had already survived the 
virus. 

1104
00:59:30,240 --> 00:59:32,680
So they didn't need the vaccine 
because they survived it before.

1105
00:59:32,680 --> 00:59:35,800
So why would they need it? 
Like the second time when 

1106
00:59:36,880 --> 00:59:42,450
natural immunity mounts a much 
stronger response than response 

1107
00:59:42,450 --> 00:59:45,410
to one single protein, which was
what the injections induced the 

1108
00:59:45,410 --> 00:59:48,930
production of. 
So the injections only induced 

1109
00:59:48,930 --> 00:59:52,570
the production of a tiny part of
the virus, the spike protein. 

1110
00:59:52,970 --> 00:59:57,290
So basically if you survived the
the whole virus, then you got 

1111
00:59:57,290 --> 01:00:00,010
rid of all parts of the virus. 
You didn't just get rid of the 

1112
01:00:00,010 --> 01:00:01,730
spike protein, you got rid of 
all of it. 

1113
01:00:01,730 --> 01:00:04,450
So, and they're subsumed. 
Of course, it's the spike 

1114
01:00:04,450 --> 01:00:07,090
protein, so it's redundant for 
you to get a shot. 

1115
01:00:07,470 --> 01:00:10,670
That your body already if your 
body already rid yourself of the

1116
01:00:10,950 --> 01:00:15,190
the entire virus. 
Now I realized for the last hour

1117
01:00:15,190 --> 01:00:18,150
I've been breaking one of my 
rules, which is to fall for the 

1118
01:00:18,230 --> 01:00:22,070
thinking past the sale tactic 
that the corporate press and 

1119
01:00:22,070 --> 01:00:25,030
politicians always play, getting
people to argue over. 

1120
01:00:25,190 --> 01:00:29,550
Do lockdowns work or not work? 
The question is they've already 

1121
01:00:29,550 --> 01:00:31,590
thought past. 
We have the right to lock you 

1122
01:00:31,590 --> 01:00:35,910
down if it quote works when it 
comes to how they were able to 

1123
01:00:35,910 --> 01:00:39,380
propagate. 
Propagandize the masses in such 

1124
01:00:39,500 --> 01:00:41,860
a way, getting them to think 
past the sale. 

1125
01:00:42,020 --> 01:00:46,060
What were some tactics they used
and how can we avoid them in the

1126
01:00:46,060 --> 01:00:49,420
future? 
Well, we talked a little bit 

1127
01:00:49,420 --> 01:00:53,060
about one of them before, which 
is the the horrible polarization

1128
01:00:53,100 --> 01:00:57,860
and division between people. 
Where where people who had even 

1129
01:00:57,940 --> 01:01:04,790
very legitimate concerns were 
denigrated as evil, selfish, 

1130
01:01:04,870 --> 01:01:07,870
ignorant. 
There was a huge propaganda 

1131
01:01:08,310 --> 01:01:13,470
campaign intended to make people
feel like they were, you know, 

1132
01:01:14,070 --> 01:01:17,670
somehow criminals for not 
getting the shot even though 

1133
01:01:17,670 --> 01:01:20,590
they had already survived COVID.
Or they had an examined the data

1134
01:01:20,590 --> 01:01:22,070
and decided it wasn't in their 
best interest. 

1135
01:01:22,070 --> 01:01:25,550
Given their cohort and their 
prospects for survival, they 

1136
01:01:25,550 --> 01:01:31,200
were made to feel as though they
were the evil enemy. 

1137
01:01:31,200 --> 01:01:33,640
So the the the evil enemy was 
not just the virus. 

1138
01:01:33,640 --> 01:01:38,840
In this case it became the 
people who who refused to comply

1139
01:01:38,840 --> 01:01:41,920
with the dictates and they 
became the scapegoats for the 

1140
01:01:41,920 --> 01:01:42,760
virus. 
The virus. 

1141
01:01:43,040 --> 01:01:45,960
At some point it became obvious 
that it was everywhere and it 

1142
01:01:45,960 --> 01:01:48,760
was untamable. 
But what happened is the 

1143
01:01:48,760 --> 01:01:54,840
propaganda made the compliant 
start to blame the unvaccinated.

1144
01:01:54,840 --> 01:01:58,200
So you heard this little trope. 
It's a pandemic of the 

1145
01:01:58,400 --> 01:02:01,600
unvaccinated that was like 
circulated all over the world, 

1146
01:02:01,680 --> 01:02:03,680
over and over again. 
It's a pandemic of the 

1147
01:02:03,720 --> 01:02:06,400
unvaccinated. 
So you are driving the pandemic.

1148
01:02:06,640 --> 01:02:09,600
You're the reason why we still 
have restrictions. 

1149
01:02:09,600 --> 01:02:11,760
If you would just do the right 
thing and roll up your sleeve, 

1150
01:02:12,040 --> 01:02:13,520
the pandemic would come to an 
end. 

1151
01:02:13,520 --> 01:02:18,100
So you are to blame. 
Evil anti vaxxer when in fact a 

1152
01:02:18,100 --> 01:02:19,820
lot of these people weren't anti
vaxxers. 

1153
01:02:19,820 --> 01:02:25,860
I mean, they just had a they had
reasonable skeptical responses 

1154
01:02:25,860 --> 01:02:30,660
to demands on them to get a 
vaccine in exchange for a free 

1155
01:02:30,660 --> 01:02:33,170
donut. 
For example, I saw. 

1156
01:02:33,170 --> 01:02:34,570
I mean, there were just so many 
cream. 

1157
01:02:34,570 --> 01:02:38,730
One My God and Bill de Blasio 
eating a hot dog on TV? 

1158
01:02:38,810 --> 01:02:41,250
Yes, yes, there's. 
Really good. 

1159
01:02:41,610 --> 01:02:43,010
No? 
You can get free French fries. 

1160
01:02:43,010 --> 01:02:44,690
Bill de Blasio with. 
Free French fries. 

1161
01:02:44,970 --> 01:02:48,290
Yeah, it's up there somewhere 
where he's like shoving French 

1162
01:02:48,290 --> 01:02:50,930
fries into his mouth, saying 
free French fries, you get a 

1163
01:02:50,930 --> 01:02:53,410
vaccine. 
I was like, this is so insane. 

1164
01:02:53,570 --> 01:02:55,930
I mean like you have got to be 
kidding me. 

1165
01:02:56,210 --> 01:02:59,970
I mean, even setting aside the 
whole thing that like 78% of the

1166
01:02:59,970 --> 01:03:02,730
people who died were obese. 
So setting aside the whole issue

1167
01:03:02,730 --> 01:03:05,890
of like, whether you should be 
feeding people free French fries

1168
01:03:05,890 --> 01:03:11,250
and Donuts, there's just like 
the ludicrousness of that being 

1169
01:03:11,250 --> 01:03:15,890
your compensation for serving as
a as a as a subject in an 

1170
01:03:15,890 --> 01:03:18,610
experimental trial for a novel 
medical device. 

1171
01:03:18,610 --> 01:03:21,770
I mean, it's really crazy, and I
think a lot of people don't 

1172
01:03:21,810 --> 01:03:27,920
realize that when healthy 
subjects volunteer to serve in 

1173
01:03:27,920 --> 01:03:30,560
pharmaceutical company trials, 
they get paid thousands of 

1174
01:03:30,560 --> 01:03:31,920
dollars. 
They have to. 

1175
01:03:32,160 --> 01:03:35,440
They have to sign a contract. 
But in effect, what happened in 

1176
01:03:35,440 --> 01:03:38,600
this case is you were asked to 
be a pro bono subject in an 

1177
01:03:38,600 --> 01:03:41,520
experimental trial, the largest 
experimental trial in the 

1178
01:03:41,520 --> 01:03:43,880
history of humanity. 
And you were offered no 

1179
01:03:43,880 --> 01:03:46,600
compensation. 
And you were also, in effect, 

1180
01:03:46,880 --> 01:03:51,720
your right to to sue these 
people if they killed you or or 

1181
01:03:51,720 --> 01:03:54,800
for your family to sue them if 
they kill you or if you if they 

1182
01:03:54,800 --> 01:03:57,640
harmed you. 
For you to sue them was was 

1183
01:03:57,640 --> 01:03:59,320
taken away from you by the 
government. 

1184
01:03:59,560 --> 01:04:03,680
So you you were asked to do this
for free because you were made 

1185
01:04:03,680 --> 01:04:06,680
to believe that it was 
unpatriotic somehow, if you 

1186
01:04:06,680 --> 01:04:09,480
didn't get on board the vaccine 
train, you're asked to do it for

1187
01:04:09,480 --> 01:04:12,840
free and to accept any possible 
adverse effects as just like 

1188
01:04:12,840 --> 01:04:14,800
part of your patriotic duty, I 
guess. 

1189
01:04:15,280 --> 01:04:18,480
And I think a lot of people just
didn't know the history of 

1190
01:04:18,480 --> 01:04:21,680
pharma, like those of us who 
knew the history of pharma. 

1191
01:04:21,680 --> 01:04:24,280
I saw a really good Italian film
where it. 

1192
01:04:24,800 --> 01:04:27,880
It follows the story of this guy
who decided he needed to pay 

1193
01:04:28,640 --> 01:04:30,560
some bills. 
So he's like, oh, yeah, I'll 

1194
01:04:30,560 --> 01:04:32,840
just volunteer for this pharma 
trial and get, you know, 

1195
01:04:32,840 --> 01:04:36,080
thousands of of EUR. 
And he ended up being terminally

1196
01:04:36,080 --> 01:04:38,640
ill as a result, but he had, you
know, effectively signed his 

1197
01:04:38,640 --> 01:04:40,160
life away. 
Most people have not watched 

1198
01:04:40,160 --> 01:04:41,760
these films. 
They haven't read books. 

1199
01:04:41,760 --> 01:04:47,430
They know nothing about the the 
fines that Pfizer has paid 

1200
01:04:47,430 --> 01:04:49,990
Johnson and Johnson has paid, 
AstraZeneca has paid. 

1201
01:04:50,150 --> 01:04:53,150
They had no idea that Madonna 
had no products on the market. 

1202
01:04:53,270 --> 01:04:55,710
Most people had no idea. 
They just thought oh thank you 

1203
01:04:55,710 --> 01:04:58,430
Madonna for saving us. 
You know you've you've arrived 

1204
01:04:58,430 --> 01:05:00,510
to save the day when in fact 
none of their product, they're 

1205
01:05:00,510 --> 01:05:02,270
none of their products ever made
it to market. 

1206
01:05:02,630 --> 01:05:05,670
So I don't know. 
I think it was. 

1207
01:05:05,990 --> 01:05:09,430
It was like a combination of 
ignorance and fear that drove 

1208
01:05:09,430 --> 01:05:16,530
people to get on board the 
vaccine train and to to promote 

1209
01:05:16,610 --> 01:05:20,970
really crazy policies such as 
forced vaccination mandates, 

1210
01:05:20,970 --> 01:05:24,970
coercion, coercion of healthcare
workers who had already 

1211
01:05:24,970 --> 01:05:28,530
recovered from the virus, 
coercion of military people. 

1212
01:05:28,850 --> 01:05:33,010
The refusal to allow people to 
come to the US unless they 

1213
01:05:33,010 --> 01:05:36,130
showed proof of vaccination all 
the way up until May 11th to 

1214
01:05:36,330 --> 01:05:42,630
2023, so that the actual public 
health, the pretext behind us 

1215
01:05:42,630 --> 01:05:45,830
was, was ludicrous. 
Because what what the law said 

1216
01:05:45,830 --> 01:05:48,150
was that you could come to the 
United States if you were 

1217
01:05:48,150 --> 01:05:51,750
vaccinated like two years ago, 
but if you recovered from the 

1218
01:05:51,750 --> 01:05:54,310
virus like six months ago, you 
couldn't come to the United 

1219
01:05:54,310 --> 01:05:57,910
States. 
And in fact, if you, if so long 

1220
01:05:57,910 --> 01:06:00,750
as you had your vaccine papers, 
you could even come to the 

1221
01:06:00,750 --> 01:06:04,070
United States infected with 
COVID because they didn't 

1222
01:06:04,070 --> 01:06:07,340
require you to test and they 
they already knew by, you know, 

1223
01:06:07,380 --> 01:06:10,860
long, long ago, they knew that 
you could get COVID even if you 

1224
01:06:10,860 --> 01:06:12,860
had the vaccine. 
I mean, Biden himself had it a 

1225
01:06:12,860 --> 01:06:17,220
couple times and he's obviously 
like sex to plead jabbed, you 

1226
01:06:17,220 --> 01:06:20,020
know, so so basically we had 
these really visible examples of

1227
01:06:20,020 --> 01:06:22,420
people who had all the right 
shots, who did all the right 

1228
01:06:22,420 --> 01:06:23,900
thing, and they got COVID 
anyway. 

1229
01:06:24,060 --> 01:06:26,700
And yet they kept this mandate 
in place on people wanting to 

1230
01:06:26,700 --> 01:06:29,220
travel to the United States. 
They kept it in place all the 

1231
01:06:29,220 --> 01:06:32,940
way up until May 11th 2023. 
Yeah, it was a classic 

1232
01:06:32,980 --> 01:06:37,500
unfalsifiable thing where 
they're like, well, if you get 

1233
01:06:37,500 --> 01:06:39,500
the jab, then you won't get 
coveted. 

1234
01:06:39,620 --> 01:06:41,380
Rachel Maddow explicitly said 
this. 

1235
01:06:41,380 --> 01:06:44,220
Joe Biden said this. 
And then they got KOVAT and then

1236
01:06:44,220 --> 01:06:47,500
they go, oh, see, that proves 
our case because. 

1237
01:06:48,050 --> 01:06:50,970
You can get COVID and with the 
jab you survived. 

1238
01:06:51,210 --> 01:06:53,930
Oh, as opposed to everyone else 
who got covered without the jab?

1239
01:06:54,610 --> 01:06:56,810
Exactly. 
Over bodies in order to get to 

1240
01:06:56,810 --> 01:06:58,090
work every day. 
Because every. 

1241
01:06:58,090 --> 01:07:00,530
Exactly. 
I mean, Jen Sake was a good one.

1242
01:07:00,570 --> 01:07:03,450
The former press secretary to 
Biden, she was like, oh, I had 

1243
01:07:03,450 --> 01:07:06,570
covet, you know, she's like in 
her 40s I think her early 40s. 

1244
01:07:06,570 --> 01:07:09,770
You know, so but, you know, 
fortunately I had the vaccine 

1245
01:07:09,770 --> 01:07:12,610
and so, so I came through it. 
No, You would have come through 

1246
01:07:12,610 --> 01:07:16,190
it like in any event, whether 
you have the vaccine or not, 

1247
01:07:16,190 --> 01:07:19,750
because you are young and 
healthy, it has nothing to do 

1248
01:07:19,750 --> 01:07:22,150
with the job. 
And likewise, people who are 

1249
01:07:22,150 --> 01:07:26,390
really, really old and really 
frail and have comorbidities or 

1250
01:07:26,390 --> 01:07:30,470
are obese, they're going to die 
of one of these viruses. 

1251
01:07:30,710 --> 01:07:31,990
Whether or not they have a 
vaccine. 

1252
01:07:31,990 --> 01:07:33,070
The vaccine is not going to save
them. 

1253
01:07:33,070 --> 01:07:35,310
And that's why we saw a lot of 
people die who had been 

1254
01:07:35,310 --> 01:07:37,470
vaccinated. 
It wasn't it. 

1255
01:07:37,630 --> 01:07:40,450
You know, when your number's up,
your number's up. 

1256
01:07:40,450 --> 01:07:42,210
You know, I'm sorry. 
But, you know, if you're if 

1257
01:07:42,210 --> 01:07:45,650
you're 88 and you know you have 
all these comorbidities, 

1258
01:07:46,650 --> 01:07:47,890
vaccines are not going to save 
you. 

1259
01:07:47,970 --> 01:07:49,490
At that point, it didn't save 
people. 

1260
01:07:50,490 --> 01:07:56,530
So when it comes to testing to 
see if the people who got the 

1261
01:07:56,970 --> 01:08:02,850
jab died or not, let me go about
this eight different way. 

1262
01:08:03,970 --> 01:08:07,570
When they say people who are 
extremely out of shape and 

1263
01:08:07,570 --> 01:08:11,490
extremely old are going to die 
from COVID-19, those people are 

1264
01:08:11,490 --> 01:08:15,130
already in the category of much 
more likely to die than the 

1265
01:08:15,130 --> 01:08:18,930
population at large. 
It's sort of like saying there's

1266
01:08:18,970 --> 01:08:22,970
a new virus and it causes scabs 
on your skin. 

1267
01:08:23,170 --> 01:08:25,609
It especially affects crystal 
meth addicts. 

1268
01:08:25,970 --> 01:08:28,890
Well, those people already have 
a ton of scabs everywhere. 

1269
01:08:28,890 --> 01:08:30,490
That's what we would expect to 
be seen. 

1270
01:08:30,810 --> 01:08:33,569
So even their claim, because I 
remember. 

1271
01:08:34,220 --> 01:08:36,140
This one is going to be a little
harder for me to find. 

1272
01:08:36,140 --> 01:08:38,939
I remember the first thing that 
was being said. 

1273
01:08:39,220 --> 01:08:42,939
One of the earlier claims was 
the people that are especially 

1274
01:08:42,939 --> 01:08:46,620
vulnerable to coronavirus are 
little children because they 

1275
01:08:46,620 --> 01:08:49,660
have weak immune systems and 
they break out in all these 

1276
01:08:49,660 --> 01:08:51,779
hives. 
This is really who the lockdowns

1277
01:08:51,779 --> 01:08:54,340
are for and then they ditch that
narrative as well. 

1278
01:08:54,340 --> 01:08:56,859
I promise. 
I saw that on the news a number 

1279
01:08:56,859 --> 01:09:00,380
of times and that's what people 
were just mindlessly repeating. 

1280
01:09:00,760 --> 01:09:02,720
So they said everything, 
Remember. 

1281
01:09:03,160 --> 01:09:04,319
Yeah. 
Remember when people were 

1282
01:09:04,319 --> 01:09:07,720
bleaching their vegetables? 
So, like, there was a period in 

1283
01:09:07,720 --> 01:09:11,279
there where people were actually
using Clorox to wipe off their 

1284
01:09:11,279 --> 01:09:13,399
vegetables in their house. 
So they got their groceries 

1285
01:09:13,399 --> 01:09:16,279
delivered to their house, and 
then they were using Clorox to 

1286
01:09:16,960 --> 01:09:20,000
to wipe them off to supposedly, 
you know, prevent them from 

1287
01:09:20,000 --> 01:09:22,279
getting COVID. 
I mean, people did really crazy 

1288
01:09:22,279 --> 01:09:24,200
things. 
So I'm sorry I interrupted you. 

1289
01:09:25,149 --> 01:09:27,590
No that that's all right that 
that was my whole point, that 

1290
01:09:27,590 --> 01:09:31,910
they're saying this might have 
affect X, but we're already 

1291
01:09:31,910 --> 01:09:37,310
expecting X to happen. 
As it is, X being extremely old,

1292
01:09:37,310 --> 01:09:40,069
people die and people who are 
extraordinarily out of shape, 

1293
01:09:40,270 --> 01:09:44,069
which again is no one, is an 
explanation as to why they 

1294
01:09:44,069 --> 01:09:48,069
didn't say cut out carbs and 
increase exercise or resistance 

1295
01:09:48,310 --> 01:09:51,430
training. 
Here is 1 video from across the 

1296
01:09:51,430 --> 01:09:54,710
pond that caught my eye. 
To the most up to date 

1297
01:09:54,710 --> 01:09:58,590
information daily, you can trust
us as a source of that 

1298
01:09:58,590 --> 01:10:01,630
information. 
You can also trust the Director 

1299
01:10:01,630 --> 01:10:04,950
General of Health and the 
Ministry of Health for that 

1300
01:10:04,950 --> 01:10:07,790
information. 
Do feel free to visit at anytime

1301
01:10:07,790 --> 01:10:09,990
to clarify any rumor you may 
hear. 

1302
01:10:10,430 --> 01:10:16,550
COVID-19 dot govt dot NZ. 
Otherwise dismiss anything else.

1303
01:10:17,010 --> 01:10:19,490
We will continue to be your 
single source of truth. 

1304
01:10:19,490 --> 01:10:21,970
We will provide information 
frequently. 

1305
01:10:22,290 --> 01:10:26,610
We will share everything we can,
everything you are else, you see

1306
01:10:27,210 --> 01:10:29,970
a grain of salt. 
And so I really ask people to 

1307
01:10:29,970 --> 01:10:31,690
focus. 
So this egregious example of 

1308
01:10:31,690 --> 01:10:34,490
that appears to be this text 
which originated in Malaysia and

1309
01:10:34,490 --> 01:10:37,370
has kind of has become a viral 
hope from Australia and in New 

1310
01:10:37,410 --> 01:10:38,810
Zealand. 
How irresponsible is it? 

1311
01:10:38,810 --> 01:10:41,170
The people that are sharing that
news have been locked down 

1312
01:10:41,170 --> 01:10:43,770
imminent in New Zealand. 
And look, that's the kind of 

1313
01:10:43,770 --> 01:10:46,930
thing that adds to the anxiety 
that people feel. 

1314
01:10:47,330 --> 01:10:50,130
So I continue to share the 
message New Zealanders must 

1315
01:10:50,130 --> 01:10:54,730
prepare but do not panic. 
Prepare and and when you see 

1316
01:10:54,730 --> 01:10:59,410
those messages remember that 
unless you hear it from us, it 

1317
01:10:59,410 --> 01:11:02,610
is not the truth. 
And I really ask people, just 

1318
01:11:02,610 --> 01:11:07,850
visit COVID-19 dot govt dot NZ. 
It has all of the up to date 

1319
01:11:07,850 --> 01:11:11,450
information and we will continue
to provide everything you need 

1320
01:11:11,450 --> 01:11:14,490
to. 
So that was the Prime Minister 

1321
01:11:14,490 --> 01:11:17,090
right there. 
That was the Prime Minister of 

1322
01:11:17,090 --> 01:11:20,330
New Zealand. 
Not like I found a crazy lady on

1323
01:11:20,330 --> 01:11:24,530
Twitter one time. 
It's like this is someone and 

1324
01:11:24,610 --> 01:11:26,930
you know, she never resigned 
over this or anything, she said.

1325
01:11:27,170 --> 01:11:30,770
You're one source of truth, 
another monopoly. 

1326
01:11:30,770 --> 01:11:35,090
The state has granted itself 
truth along with the guns and 

1327
01:11:35,170 --> 01:11:39,530
compulsory education right up 
with what's going on now that 

1328
01:11:39,570 --> 01:11:44,050
the revelations in the Twitter 
files and the attempt to 

1329
01:11:44,370 --> 01:11:48,820
completely squelch any dissent, 
you know, which is completely 

1330
01:11:48,820 --> 01:11:51,220
antithetical to to the 
scientific enterprise. 

1331
01:11:51,420 --> 01:11:53,860
She did, by the way, resign. 
She's no longer the Prime 

1332
01:11:53,860 --> 01:11:57,300
Minister, but she resigned, 
like, you know, sometime after 

1333
01:11:57,460 --> 01:11:59,500
that, so. 
Yeah, I'm sorry. 

1334
01:11:59,500 --> 01:12:02,100
I should have clarified. 
She did not resign as a causal 

1335
01:12:02,100 --> 01:12:05,780
result of this. 
Apologize and be shamed forever.

1336
01:12:05,900 --> 01:12:08,180
No, no, no, it was. 
There was no comment to that 

1337
01:12:08,180 --> 01:12:09,740
effect. 
She just said she was tired or 

1338
01:12:09,740 --> 01:12:11,100
something. 
That was like her reason for 

1339
01:12:11,100 --> 01:12:13,670
resigning either. 
Maybe you know, who knows what 

1340
01:12:13,670 --> 01:12:15,270
went on really. 
Maybe she realized how many 

1341
01:12:15,270 --> 01:12:18,790
excess deaths were non virus. 
Excess deaths were caused by her

1342
01:12:18,790 --> 01:12:21,590
lockdowns because they locked 
down like every time there'd be 

1343
01:12:21,590 --> 01:12:25,550
like 4 cases, Not deaths, but 
cases Cases they would lock down

1344
01:12:25,550 --> 01:12:28,230
the entire, you know, 
metropolitan area of of 

1345
01:12:28,230 --> 01:12:31,430
Auckland. 
So they were incredibly severe. 

1346
01:12:31,430 --> 01:12:36,150
And then at some point both New 
Zealand and Australia realized 

1347
01:12:36,150 --> 01:12:38,950
that they couldn't control it. 
It was just uncontrollable. 

1348
01:12:38,950 --> 01:12:41,870
I mean they couldn't. 
It was it was going to happen 

1349
01:12:41,870 --> 01:12:43,230
and they've they finally 
realized it. 

1350
01:12:43,230 --> 01:12:46,150
Now she, she didn't say she 
resigned because of that, but 

1351
01:12:46,150 --> 01:12:48,910
they did eventually open. 
That's what I knew, the pound 

1352
01:12:48,910 --> 01:12:51,590
that was winding down when 
Australia and New Zealand opened

1353
01:12:51,590 --> 01:12:54,870
up finally, I was like, oh, they
actually opened up before the 

1354
01:12:54,870 --> 01:12:56,710
United States. 
The United States didn't really 

1355
01:12:56,990 --> 01:13:01,630
open to unvaccinated people 
until May 11th, 2023, 

1356
01:13:01,870 --> 01:13:06,120
unbelievably. 
Have you found any evidence in 

1357
01:13:06,120 --> 01:13:11,560
your research that COVID-19 was 
the result of a lab leak from 

1358
01:13:11,560 --> 01:13:15,440
the Wuhan Institute of Virology?
Oh boy. 

1359
01:13:15,840 --> 01:13:19,080
Well, there there's of course 
the circumstantial evidence, 

1360
01:13:19,080 --> 01:13:24,240
which is that oh, the the Wuhan 
Institute of Virology does gain 

1361
01:13:24,240 --> 01:13:26,320
of function research on bad 
viruses. 

1362
01:13:26,400 --> 01:13:34,090
OK so so and it happens to be 
where the outbreak first 

1363
01:13:34,090 --> 01:13:37,610
occurred. 
So the Wuhan live market where 

1364
01:13:37,610 --> 01:13:43,050
they sell animals to use in 
culinary delicacies such as bad 

1365
01:13:43,050 --> 01:13:48,050
soup is like down the road Okay.
So that that was the the claim 

1366
01:13:48,370 --> 01:13:52,330
by Fauci and others that it it 
came from the live market it it 

1367
01:13:52,370 --> 01:13:56,610
evolved naturally and so it had 
nothing to do with the gated 

1368
01:13:56,610 --> 01:13:59,490
function research that was going
on at the Wuhan Institute of 

1369
01:13:59,490 --> 01:14:02,480
Virology. 
It was just a sheer coincidence,

1370
01:14:02,480 --> 01:14:07,320
I suppose that that it was a bad
virus and that that's exactly 

1371
01:14:07,320 --> 01:14:09,160
the kind of research that was 
being done at the institute. 

1372
01:14:09,160 --> 01:14:14,560
But totally natural origin it 
did not come from the from the 

1373
01:14:14,560 --> 01:14:15,840
institute. 
So there's first the 

1374
01:14:15,840 --> 01:14:18,520
circumstantial evidence which is
just where it happened, where 

1375
01:14:18,520 --> 01:14:21,880
that where the outbreak first 
happened and also the fact I 

1376
01:14:21,880 --> 01:14:25,000
believe that the first person 
who died worked at the Wuhan 

1377
01:14:25,000 --> 01:14:27,800
Institute. 
So it's also possible that he 

1378
01:14:27,800 --> 01:14:32,200
just encountered someone who had
made bat soup that he got the 

1379
01:14:32,200 --> 01:14:35,960
ingredients from the market. 
It's it's possible but the the 

1380
01:14:35,960 --> 01:14:39,040
coincidence is like kind of hard
to hard to believe. 

1381
01:14:39,320 --> 01:14:42,160
And then there's the genomic 
evidence so that this is this is

1382
01:14:42,160 --> 01:14:45,830
the real this is going to be the
determine of the answer to the 

1383
01:14:45,830 --> 01:14:47,590
question is the genomic evidence
Okay. 

1384
01:14:47,590 --> 01:14:53,310
So there's a sequence in the 
COVID virus that is it looks to 

1385
01:14:53,310 --> 01:14:59,390
be artifactual, looks to have 
been to have been created in a 

1386
01:14:59,390 --> 01:15:01,310
lab. 
And if that's the case, if it's 

1387
01:15:01,430 --> 01:15:05,070
it's a sequence that never 
appears otherwise in these sorts

1388
01:15:05,070 --> 01:15:08,070
of viruses, it's a completely 
unique sequence and it's only 

1389
01:15:08,070 --> 01:15:13,900
appeared in artifactual 
modifications of viruses, then 

1390
01:15:13,900 --> 01:15:19,700
that is kind of slam dunk 
argument that it was actually a 

1391
01:15:19,700 --> 01:15:21,020
product of gain of function 
research. 

1392
01:15:21,020 --> 01:15:24,060
So if this sequence, if it's 
true that this sequence that the

1393
01:15:24,060 --> 01:15:30,780
suspect sequence doesn't occur 
in any other analogous Organism,

1394
01:15:31,180 --> 01:15:33,220
then it looks like it what it 
did escape from the lab. 

1395
01:15:33,220 --> 01:15:34,500
But they're going to find out. 
Okay. 

1396
01:15:34,500 --> 01:15:37,660
They're going to find out it it 
hasn't been resolved yet, but 

1397
01:15:37,780 --> 01:15:40,940
they can. 
They can determine, for example,

1398
01:15:42,230 --> 01:15:45,470
how many years or how many 
generations it would take a 

1399
01:15:45,470 --> 01:15:48,590
certain mutation to appear in an
animal. 

1400
01:15:48,790 --> 01:15:51,990
And if it if it is it actually 
impossible, if it's 

1401
01:15:51,990 --> 01:15:54,790
scientifically impossible for 
that sequence to to have been 

1402
01:15:54,790 --> 01:15:56,550
produced from one generation to 
the next. 

1403
01:15:56,550 --> 01:16:02,510
Just a quick leap from bats to 
humans then that will be the end

1404
01:16:02,510 --> 01:16:05,070
of the the argument right there 
if it's actually impossible. 

1405
01:16:05,070 --> 01:16:07,150
So some people have said from 
the very beginning a lot of 

1406
01:16:07,150 --> 01:16:10,430
these people were deep platform 
back in 2020 have said, some 

1407
01:16:10,630 --> 01:16:14,430
biologists have said in fact in 
order to have that particular 

1408
01:16:14,430 --> 01:16:17,510
mutation to have taken place, it
would have taken like 1000 

1409
01:16:17,510 --> 01:16:19,390
years. 
So it wouldn't have been just 

1410
01:16:19,390 --> 01:16:20,990
like jumping from the bat to the
human. 

1411
01:16:20,990 --> 01:16:25,150
It would have had to evolve like
here's like a feasible sequence 

1412
01:16:25,310 --> 01:16:28,390
of mutations that could have 
given rise to that sequence. 

1413
01:16:28,590 --> 01:16:30,390
So this is still under 
investigation. 

1414
01:16:31,070 --> 01:16:33,190
But yes, to answer your 
question, there's plenty of 

1415
01:16:33,190 --> 01:16:34,470
evidence that it came from the 
lab. 

1416
01:16:35,830 --> 01:16:40,230
And is there any evidence that 
the funding came from the 

1417
01:16:40,230 --> 01:16:43,630
National Institute of Health or 
the Eco Health Alliance with 

1418
01:16:43,630 --> 01:16:48,110
Tony Fauci stamp of approval as 
a result of the gain of research

1419
01:16:48,870 --> 01:16:53,630
function ban that I believe 
Obama implemented in 2014? 

1420
01:16:54,290 --> 01:16:58,330
Yeah, there is. 
First of all, it's funny because

1421
01:16:58,330 --> 01:17:02,370
Peter Dassek was assigned to 
assess, you know what what 

1422
01:17:02,370 --> 01:17:08,850
happened and he actually 
distributed funds to be used for

1423
01:17:08,850 --> 01:17:11,130
gated function research. 
So he had a major conflict of 

1424
01:17:11,130 --> 01:17:14,850
interest in in, in, in 
proclaiming that it would had a 

1425
01:17:14,850 --> 01:17:15,890
natural origin. 
Why? 

1426
01:17:15,890 --> 01:17:18,090
Because he didn't want to be 
responsible for millions of 

1427
01:17:18,090 --> 01:17:21,250
deaths. 
We're now getting Anthony 

1428
01:17:21,250 --> 01:17:24,170
Fauci's correspondence, and 
there's a lot of stuff coming 

1429
01:17:24,170 --> 01:17:29,290
out where he has interactions. 
And there was testimony on the 

1430
01:17:29,290 --> 01:17:32,330
Hill also where he had 
interactions with people who 

1431
01:17:32,330 --> 01:17:36,010
believed that it was a gain of 
function release from the lab. 

1432
01:17:36,330 --> 01:17:39,050
And they they shut them down. 
They shut those people down. 

1433
01:17:39,570 --> 01:17:51,880
It looks like a couple of them 
have been brought by has two 

1434
01:17:53,480 --> 01:17:55,480
people in the e-mail 
correspondents who today Collins

1435
01:17:55,520 --> 01:17:57,680
and Anthony Fauci in a 
conference call they changed 

1436
01:17:57,680 --> 01:17:59,280
their tune. 
They said no, it's natural 

1437
01:17:59,280 --> 01:18:00,640
origin. 
They went from, you know, black 

1438
01:18:00,640 --> 01:18:03,960
to white, from thinking that it 
was gain of function to absolute

1439
01:18:03,960 --> 01:18:06,280
certainty that it was natural. 
And then a few months down the 

1440
01:18:06,280 --> 01:18:08,360
line they got huge grants from 
NIH. 

1441
01:18:08,360 --> 01:18:10,920
So it looks like, you know, 
we're going to see more and more

1442
01:18:10,920 --> 01:18:15,920
investigation of of these of 
this correspondence as it's made

1443
01:18:15,920 --> 01:18:18,060
public. 
So yeah, there's plenty of 

1444
01:18:18,060 --> 01:18:21,020
evidence and it's certainly the 
case that Anthony Fauci brought 

1445
01:18:21,020 --> 01:18:24,700
back gain of function research. 
So whether or not he himself 

1446
01:18:25,020 --> 01:18:29,780
funded the production of the 
COVID-19 virus itself, he 

1447
01:18:29,780 --> 01:18:31,940
definitely brought it back, 
brought back funding for that 

1448
01:18:31,940 --> 01:18:33,980
sort of research. 
And so this should really be a 

1449
01:18:33,980 --> 01:18:37,900
cautionary tale for all of us. 
Because whether or not this 

1450
01:18:37,900 --> 01:18:42,820
virus came from the Wuhan 
Institute of Virology, we should

1451
01:18:42,820 --> 01:18:45,060
be very wary of this form of 
research. 

1452
01:18:45,060 --> 01:18:49,100
Because it's incredibly 
dangerous and it it could lead 

1453
01:18:49,100 --> 01:18:51,940
to the production of a virus 
which is much more lethal than 

1454
01:18:51,940 --> 01:18:55,660
COVID-19 was okay. 
If we had a pandemic where half 

1455
01:18:55,660 --> 01:18:58,860
the people of the world are 
wiped out by it, that's a 

1456
01:18:59,100 --> 01:19:02,260
completely different level of of
atrocity. 

1457
01:19:02,660 --> 01:19:06,820
And although the hysteria would 
be the same, the hysteria for 

1458
01:19:06,820 --> 01:19:10,930
this was the same as though we 
were in the face of the Black 

1459
01:19:10,930 --> 01:19:12,490
Plague. 
I mean, let's be honest, people 

1460
01:19:12,490 --> 01:19:16,930
were acting for months as though
they were going to see 

1461
01:19:16,930 --> 01:19:19,450
wheelbarrows coming through the 
streets, picking up corpses. 

1462
01:19:19,450 --> 01:19:21,890
None of this happened. 
Many people never knew anyone 

1463
01:19:21,890 --> 01:19:25,050
who died of COVID. 
Many people, you know, we're 

1464
01:19:25,050 --> 01:19:27,730
just mystified by by this whole 
period of history, and with good

1465
01:19:27,730 --> 01:19:30,050
reason. 
Sure. 

1466
01:19:30,690 --> 01:19:34,450
I remember Rand Paul asking Tony
Fauci. 

1467
01:19:34,990 --> 01:19:40,190
About the gain of function issue
and he said taking a bat virus 

1468
01:19:40,390 --> 01:19:45,350
and trying to increase its 
ability to infect humans. 

1469
01:19:45,650 --> 01:19:47,250
Is this gain of function 
research? 

1470
01:19:47,250 --> 01:19:51,770
And he said absolutely not. 
He interrupts him and says so. 

1471
01:19:52,050 --> 01:19:56,890
Taking the bat virus and gain 
and giving it another function 

1472
01:19:56,890 --> 01:19:59,370
to infect humans, he goes, no, 
absolutely not. 

1473
01:19:59,570 --> 01:20:03,010
That's only from human to human.
Going from bat to human that's 

1474
01:20:03,010 --> 01:20:05,250
not gain of function. 
That's called 3PP. 

1475
01:20:05,250 --> 01:20:09,130
Something else he a fake thing 
that they made-up two days 

1476
01:20:09,130 --> 01:20:11,410
before and then handed him a 
note for. 

1477
01:20:11,650 --> 01:20:14,210
So I guess one of the responses 
could be. 

1478
01:20:15,030 --> 01:20:17,910
Does COVID? 
It seems as though you're more 

1479
01:20:17,910 --> 01:20:21,150
likely if you're with 10 people 
and you're indoors, you're more 

1480
01:20:21,150 --> 01:20:25,030
likely to get COVID than if you 
were with 10 people outdoors. 

1481
01:20:25,310 --> 01:20:30,350
Therefore we can conclude that 
this virus has lived and evolved

1482
01:20:30,670 --> 01:20:35,110
inside to survive more so than 
something that evolved in an 

1483
01:20:35,110 --> 01:20:38,950
outside area. 
Because you would think if it 

1484
01:20:38,950 --> 01:20:42,530
evolved outside through these 
animals then outside is more 

1485
01:20:42,530 --> 01:20:44,450
dangerous than inside, but the 
reverse is true. 

1486
01:20:44,650 --> 01:20:47,330
Could that be another indicator 
that it actually originated? 

1487
01:20:47,490 --> 01:20:49,530
From a lab, Yeah, that's very 
logical. 

1488
01:20:53,170 --> 01:20:57,210
Yeah. 
Going back to the question of 

1489
01:20:57,210 --> 01:21:00,810
redefinition, that is like a 
specialty that's like modus 

1490
01:21:00,810 --> 01:21:03,170
operandi of these people. 
So they redefined. 

1491
01:21:04,430 --> 01:21:07,910
In advance, back in 2009, they 
redefined pandemic, so no longer

1492
01:21:07,910 --> 01:21:09,790
the the definition The Who 
definition. 

1493
01:21:09,790 --> 01:21:12,750
The World Health Organization of
definition of pandemic no longer

1494
01:21:12,750 --> 01:21:18,510
includes the word severity over 
a broad geographical area. 

1495
01:21:18,510 --> 01:21:21,790
So they they weakened the 
definition of pandemic so that 

1496
01:21:21,790 --> 01:21:24,470
it would cover stuff like it 
covered the swine flu and it 

1497
01:21:24,470 --> 01:21:28,230
covered COVID-19 with a 99.5% 
survival rate. 

1498
01:21:28,230 --> 01:21:31,510
So, but because people associate
the word, they continue to 

1499
01:21:31,510 --> 01:21:34,380
associate the word pandemic. 
With things like the black 

1500
01:21:34,380 --> 01:21:40,180
plague or Ebola, you know very, 
very deadly diseases that can 

1501
01:21:40,300 --> 01:21:42,540
wipe out huge portions of the 
population. 

1502
01:21:42,900 --> 01:21:46,540
This helped to promote to fuel 
the panic throughout the 

1503
01:21:46,540 --> 01:21:49,700
population. 
And similarly they redefined the

1504
01:21:49,700 --> 01:21:53,020
word vaccine. 
I have it in here somewhere in 

1505
01:21:53,140 --> 01:21:58,540
in before 2021 vaccine was 
something which reliably 

1506
01:21:59,060 --> 01:22:02,350
immunized. 
Advised you against a disease 

1507
01:22:02,350 --> 01:22:04,710
and they weakened the definition
of vaccine. 

1508
01:22:04,710 --> 01:22:07,350
So then so that now vaccine 
means it strengthens. 

1509
01:22:07,710 --> 01:22:13,230
That is such a broad and general
definition that lots of things 

1510
01:22:13,230 --> 01:22:17,790
that you do like drink water, 
eat green vegetables, get fresh 

1511
01:22:17,790 --> 01:22:20,630
air, all of those things can 
count as a vaccine by that new 

1512
01:22:20,630 --> 01:22:23,550
definition. 
So, but because they they 

1513
01:22:24,030 --> 01:22:26,150
changed the definition of the 
vaccine, they immediately 

1514
01:22:26,150 --> 01:22:28,150
started calling COVID-19 
vaccines. 

1515
01:22:32,590 --> 01:22:39,550
Vaccine. 
And this is what impelled 

1516
01:22:40,510 --> 01:22:44,270
because they believed that it 
was going to reliably prevent 

1517
01:22:44,270 --> 01:22:49,750
transmission and infection. 
Final question is far as you 

1518
01:22:49,750 --> 01:22:53,150
know, people say well how could 
a medical establishment do such 

1519
01:22:53,150 --> 01:22:54,310
a thing? 
This is wild. 

1520
01:22:54,870 --> 01:22:58,990
You mentioned in the book the 
Tuskegee Experiment of 1932 to 

1521
01:22:58,990 --> 01:23:01,110
1972. 
What was this? 

1522
01:23:01,430 --> 01:23:06,030
OK, this was a horrible episode 
in history about 40 years long 

1523
01:23:06,030 --> 01:23:10,550
as you said, where men who had 
been black men, mind you, who 

1524
01:23:10,750 --> 01:23:13,950
had been infected with syphilis 
were not treated. 

1525
01:23:14,190 --> 01:23:18,630
So the the medical professionals
they worked with knew that they 

1526
01:23:18,630 --> 01:23:22,270
had syphilis and did not give 
them any sort of antidote. 

1527
01:23:22,830 --> 01:23:26,750
So they just allowed the 
syphilis to develop to see what 

1528
01:23:26,750 --> 01:23:30,230
would happen. 
So basically these people were 

1529
01:23:30,230 --> 01:23:35,350
used as experimental subjects, 
non consensual experimental 

1530
01:23:35,350 --> 01:23:39,550
subjects, about what exactly the
outcome of untreated syphilis 

1531
01:23:39,550 --> 01:23:42,830
would be. 
So that went on for years and 

1532
01:23:42,830 --> 01:23:47,890
years and you know. 
It's ghastly. 

1533
01:23:47,890 --> 01:23:50,170
People. 
People talk about the Nazis 

1534
01:23:50,170 --> 01:23:52,130
experimenting on people. 
Well, people in the United 

1535
01:23:52,130 --> 01:23:54,370
States have been experimented on
as well. 

1536
01:23:54,890 --> 01:24:01,450
And when the Moderna vaccine was
released, Fauci went out and he 

1537
01:24:01,450 --> 01:24:05,010
did one of his PR things was, 
oh, the Moderna vaccine was 

1538
01:24:05,490 --> 01:24:07,890
created by a black woman. 
So this was supposed to be a 

1539
01:24:07,890 --> 01:24:11,420
selling point, right? 
And I was like, yeah, the people

1540
01:24:11,420 --> 01:24:14,980
who ran the Tuskegee experiment 
also some of them were black. 

1541
01:24:14,980 --> 01:24:18,260
In fact, the program coordinator
was an African American woman. 

1542
01:24:18,260 --> 01:24:21,420
So there's there's no, there's 
no guarantee that someone is 

1543
01:24:21,420 --> 01:24:23,580
gonna have your, your interest 
necessarily in mind. 

1544
01:24:23,780 --> 01:24:26,340
But he was trying to there's a 
lot of acts hesitancy among 

1545
01:24:26,340 --> 01:24:29,020
African, African Americans. 
So he was trying to say, you 

1546
01:24:29,020 --> 01:24:32,020
know, basically this woman would
never give you something that's 

1547
01:24:32,020 --> 01:24:34,700
going to harm you, you know, So 
just take the Medina vaccine. 

1548
01:24:34,700 --> 01:24:37,220
Look, it was invented by a black
woman. 

1549
01:24:37,900 --> 01:24:39,860
It was crazy. 
Another just one of the many, 

1550
01:24:39,860 --> 01:24:41,700
many crazy things. 
I mean, I think nothing tops the

1551
01:24:41,700 --> 01:24:45,020
free doughnut thing. 
That was like nothing tops the 

1552
01:24:45,020 --> 01:24:50,980
free Krispy Kreme doughnut. 
But the book is questioning the 

1553
01:24:50,980 --> 01:24:54,180
COVID company line. 
Critical thinking in hysterical 

1554
01:24:54,300 --> 01:24:55,380
times. 
Check it out at 

1555
01:24:55,380 --> 01:24:59,220
libertarianinstitute.org. 
Laurie Calhoun, thank you so 

1556
01:24:59,220 --> 01:25:01,460
much for writing the book, and 
thank you for your time. 

1557
01:25:02,020 --> 01:25:03,420
Thank you for having me. 
Great talking with you.