WEBVTT - The Truth with Lisa Boothe: Why Did Harvard Fire Dr. Martin Kulldorff?

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<v Speaker 1>Imagine being fired for telling the truth. That's exactly what

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<v Speaker 1>happened to a friend of the show. So what I've

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<v Speaker 1>gotten to know throughout COVID doctor Martin Kolder. He's been

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<v Speaker 1>fired from Harvard University, where he's been since two thousand

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<v Speaker 1>and three, twenty one years of dedication. This is a

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<v Speaker 1>man who's a world renowned epidemiologist and biostatistician. This is

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<v Speaker 1>someone for decades who helped the CDC and the FDA

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<v Speaker 1>develop their post market vaccine safety systems. Why was he fired?

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<v Speaker 1>He was fired because he signed the Great Barrington Declaration.

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<v Speaker 1>When he warned us against lockdowns, when he told us

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<v Speaker 1>that kids should be kept in schools, that they should

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<v Speaker 1>be able to continue their lives. He told us the

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<v Speaker 1>truth about natural immunity. This is a man who warned

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<v Speaker 1>us about vaccines too, only telling us that not everyone

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<v Speaker 1>needed to get it. All of this has been proven right,

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<v Speaker 1>yet still fired from Harvard. So how much of this

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<v Speaker 1>is because he just didn't go along with the forced

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<v Speaker 1>scientific status quo. We're going to get his tap on

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<v Speaker 1>why he thinks he was fired also reflect a little

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<v Speaker 1>bit about what we know now since COVID as well.

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<v Speaker 1>He's a really good man. He is brave, he is honest,

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<v Speaker 1>he is fearless. He told us the truth during COVID.

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<v Speaker 1>He has faced big, big consequences as a result of it.

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<v Speaker 1>Trust me, you're not gonna want to miss this conversation

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<v Speaker 1>with doctor Martin Colder. Well, I'll start off saying, doctor

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<v Speaker 1>Martin Colder. Doctor you've asked me to call you Martin,

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<v Speaker 1>but just for the audience's purposes, I was going to

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<v Speaker 1>fuck you, doctor Colder, but I'm going to call you

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<v Speaker 1>Martin throughout the podcast as requested. So I just don't

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<v Speaker 1>want people to think I was disrespecting you. But it's

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<v Speaker 1>always an honor to have you on the show, Stir.

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<v Speaker 1>You've been on before. You're just a truth teller and

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<v Speaker 1>that's what we're going to get into in this episode.

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<v Speaker 1>But I just appreciate you making the time.

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<v Speaker 2>Well, thank you for having me on. It's great talking

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<v Speaker 2>to you again.

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<v Speaker 1>You know, So, Martin, I was dismayed, I'm sure as

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<v Speaker 1>you were, to see the news that you've been a

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<v Speaker 1>professor of medicine at Heartard University since two thousand and

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<v Speaker 1>three and they decided to fire you after twenty one

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<v Speaker 1>years of dedication, you know, for more than two decades.

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<v Speaker 1>You helped the CDC, the FDA develop post market vaccine

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<v Speaker 1>safety systems. I mean, you're internationally world renowned and they

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<v Speaker 1>decided to fire you. What was their explanation, Well.

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<v Speaker 3>We had a disagreement with the fundamental issue of science,

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<v Speaker 3>which is infection, the quited immunity. So we've known about

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<v Speaker 3>that since the thetium plague in four thirty BC, so

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<v Speaker 3>for almost two and a half thousand years. By putting

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<v Speaker 3>in the vaccine mandates, they are the fact to denying

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<v Speaker 3>basic science that we're known for a long time, forcing

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<v Speaker 3>people all that it has superior unity to get the vaccine.

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<v Speaker 3>So I argued against vaccine mandates both publicly and also

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<v Speaker 3>privately in my own case. And for example, at Harvard's

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<v Speaker 3>Bringing and Women's at Harvard's mass Teneral mass Dennal Brigham Hospital,

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<v Speaker 3>nazis were working.

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<v Speaker 2>Theyre any care of of.

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<v Speaker 3>COVID patients, and then they get COVID, so they were

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<v Speaker 3>all for a few weeks and then they go back

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<v Speaker 3>to work and they take care of w COVID patients.

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<v Speaker 3>But then when the vaccine came, they are fired because

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<v Speaker 3>they didn't take the vaccine, because they didn't need it.

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<v Speaker 3>They didn't they already had superior immunity from having had COVID,

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<v Speaker 3>And of course that was a decision made by the

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<v Speaker 3>bureaucrats hospital and University of Bureaucrats.

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<v Speaker 2>So I was in the same situation.

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<v Speaker 3>I didn't I never feeded the patients because a matter

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<v Speaker 3>of physician, I'm a PhD, apnologist and the biostatistician, so

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<v Speaker 3>I didn't need it. I have a genetic condition that

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<v Speaker 3>makes me uh a very h uwione deficiency called off

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<v Speaker 3>A one of the tryptian deficiency, so I didn't know

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<v Speaker 3>what the risk was from the vaccine for me.

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<v Speaker 2>And I also thought it was unethical.

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<v Speaker 3>Because all the people they need the vaccines because they

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<v Speaker 3>had the high risk of dying from COVID. So when

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<v Speaker 3>there's a VACS see if short as if you're pro vaccine,

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<v Speaker 3>suppose it's just a perfect vaccine that no side of

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<v Speaker 3>vicine does that. But suppose it was a perfect vaccine,

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<v Speaker 3>you wouldn't want to few pro vaccine. You wouldn't want

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<v Speaker 3>to give it to people who don't need it. When

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<v Speaker 3>there are people around the world, like my eighty seven

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<v Speaker 3>year old neighbor, for example, who hadn't gotten it yet,

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<v Speaker 3>so there was an unethical to take the vaccine if

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<v Speaker 3>you don't need it, if the other people who do

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<v Speaker 3>need it.

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<v Speaker 1>But you were right. I just I guess I could

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<v Speaker 1>maybe see at the very beginning of all of this,

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<v Speaker 1>you know, when we didn't really have the full information,

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<v Speaker 1>I still would think that was wrong. I would still

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<v Speaker 1>disagree with it. But everything you just laid out we

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<v Speaker 1>know to be true. I mean, that's just factual information.

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<v Speaker 1>So they're firing you over stating facts.

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<v Speaker 3>Well, it was true from four hundred and thirty BC

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<v Speaker 3>until two thousand and nineteen, and then it wasn't true

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<v Speaker 3>from twenty and twenty until twenty twenty three, I guess,

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<v Speaker 3>and now it's true again. So so I guess that's

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<v Speaker 3>one way to see it.

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<v Speaker 1>Do you think this is Harvard driven or do you

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<v Speaker 1>think they got some sort of external pressure because I

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<v Speaker 1>know that, you know, Anthony Fauci went to war against

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<v Speaker 1>you for speaking the truth and the other Great Barrington signers,

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<v Speaker 1>which we'll get into a bit. I mean, do you

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<v Speaker 1>do you think this is Harvard's decision or do they

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<v Speaker 1>face some sort of external pressure?

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<v Speaker 3>Well, it's the decision at that it's a decision by

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<v Speaker 3>the Harvard's Mass General Brigham Hospital where I worked, don

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<v Speaker 3>of Harvard Medical School, because they think they could have

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<v Speaker 3>given me an exemption. They gave exemptions to other faculty member,

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<v Speaker 3>other staff, so they could if they wanted, they could

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<v Speaker 3>have given me an exemption. There was plenty of medical

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<v Speaker 3>reasons to provide me an exemptions if they wanted to.

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<v Speaker 2>But of course there's also outside pressure.

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<v Speaker 3>The Mass General Brigham is the biggest recipience of research

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<v Speaker 3>funding FORMMIA except the tune of a billion dollars, more

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<v Speaker 3>than a billion dollars a year, and so of course

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<v Speaker 3>they are very sensitive to what the Anthony Fautschelt was

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<v Speaker 3>the head of the nationally City of Maggy and a

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<v Speaker 3>victial diseases as what Process Collins things was the head

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<v Speaker 3>of the NIH. So of course they're very sensitive to

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<v Speaker 3>outside pressure as well among these things. So I think

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<v Speaker 3>it's a combination. But I mean, I think Harvard was

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<v Speaker 3>sort of a leading also institute in pushing for the lockdowns.

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<v Speaker 3>That they were the first major university to close down

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<v Speaker 3>announced to have a remote learning at which other universities

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<v Speaker 3>and colleges sort of followed the Harvard lead. And also

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<v Speaker 3>High schools and elementary schools, So that was done long

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<v Speaker 3>before the government had any pressure to close schools universities,

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<v Speaker 3>so they sort of took a leading approach to close

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<v Speaker 3>down the educational institutions.

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<v Speaker 2>And during the lockdowns.

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<v Speaker 1>You do you think that this is about you telling

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<v Speaker 1>the truth? Or do you think this is because you

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<v Speaker 1>sort of challenged the scientific community? Right? I mean there

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<v Speaker 1>is this sort of forced consensus that was going on,

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<v Speaker 1>you know, led by the Fauci Anthony Fauci, led by

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<v Speaker 1>you know. I mean, do you do you think this

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<v Speaker 1>is about telling the truth or do you think this

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<v Speaker 1>is because you just you wouldn't go along with the program.

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<v Speaker 1>We wouldn't go along with the forced consensus.

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<v Speaker 3>So I don't know what the ultimate decision was based

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<v Speaker 3>on how they I don't know.

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<v Speaker 2>I don't know what they were thinking in their brains.

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<v Speaker 3>But there were all this long before before the vaccines,

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<v Speaker 3>that they were unhappy with me about speaking up about

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<v Speaker 3>the Great Brains To Declaration where we criticize school closures

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<v Speaker 3>and other lockdown measures and we argue for that at

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<v Speaker 3>detection of all the high risk people. So as soon

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<v Speaker 3>as that there were there were they were unt happy

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<v Speaker 3>about that. So and not not the colleagues that I

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<v Speaker 3>work with on a day the basis that I still

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<v Speaker 3>have an excellent relationship with everybody I worked with personally,

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<v Speaker 3>but the leadership certainly were unhappy about and had some

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<v Speaker 3>complaints about that and.

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<v Speaker 1>Remind people, you know, why did you sign the Great

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<v Speaker 1>Barrington Declaration and what did it stand for then? And

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<v Speaker 1>sort of what do we know now about what you

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<v Speaker 1>were saying then.

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<v Speaker 3>So the when the pandemic started, there was sort of

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<v Speaker 3>an artificial consensus, so they were trying to pretend that

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<v Speaker 3>there was a scientific constensus for school closest.

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<v Speaker 2>On lockdown, so there never was.

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<v Speaker 3>I was one of several infectious to sea sechnologists who

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<v Speaker 3>did not agree with it, but it was very hard

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<v Speaker 3>to make our words herb because we were only one.

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<v Speaker 3>So in October of twenty twenty, I met with Jay Bonacharia,

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<v Speaker 3>who was a doctor from Stanford and doctor sat Gup

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<v Speaker 3>from Oxcar. It was the world's preeminent infectious to cease

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<v Speaker 3>at neologists. We met being Great Barrington, Massachusetts and the

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<v Speaker 3>three of us after the Great Brington Declaration, where we

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<v Speaker 3>argued for better protection of older people like less staffotation

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<v Speaker 3>in nursing homes, they're more testing in nursing.

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<v Speaker 2>Homes and so on, and.

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<v Speaker 3>We argue that school should be open, and that we're

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<v Speaker 3>still in closed down society with lockdowns because.

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<v Speaker 2>Everybody can get effected.

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<v Speaker 3>But there's more than a thousand full difference in the

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<v Speaker 3>risk of mortality between the older people and the younger people.

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<v Speaker 3>So that was against Fauci and sort of the narrative.

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<v Speaker 3>But because there were three of us from three reasonably

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<v Speaker 3>respectable universities who all worked in the infectious disease, they

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<v Speaker 3>couldn't dismiss us completely. So then they sort of instead

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<v Speaker 3>started a campaign against us, as the NIS director of

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<v Speaker 3>Francis Collins wrote to do take tun of us, considering

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<v Speaker 3>us fringe at pineologists.

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<v Speaker 2>But I mean a lot of people agree with us.

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<v Speaker 3>So we quickly obtain over one hundred thousand, hundreds of

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<v Speaker 3>thousands of co signers.

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<v Speaker 2>This almost a million by now, including.

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<v Speaker 3>Tens of thousands of the scientists and health professionals.

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<v Speaker 2>So the work clearly of big Yeah, it was clearly.

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<v Speaker 3>Not a consensus for these in my view of very

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<v Speaker 3>unscientific pandemic messure that went against the basic principles of

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<v Speaker 3>public health.

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<v Speaker 1>Let's take a quick Commercial break more with Martin Kolder

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<v Speaker 1>on the other side. What do we know now? I mean,

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<v Speaker 1>we're still finding out about the harm that lockdowns had

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<v Speaker 1>on you know, kids, on you know, people in general.

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<v Speaker 1>I mean, there was just this information from the CDC

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<v Speaker 1>showing that the annual average of death related excessive alcohol

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<v Speaker 1>use increased twenty nine percent during COVID. We still don't

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<v Speaker 1>know the totality of the damage. But what do we do?

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<v Speaker 1>What do we know today?

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<v Speaker 2>You're right, we don't know all of it.

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<v Speaker 3>I mean, we know that test course has gone down

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<v Speaker 3>for kids in the US, differ in different states that

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<v Speaker 3>depending on how much the schools were closed. We know

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<v Speaker 3>there's increasing the mental health issues in well used alcoholism,

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<v Speaker 3>but also like opiate overdoses, we know there was less

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<v Speaker 3>cancer screening and cancer treatments, and that doesn't show up

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<v Speaker 3>in the mortality. Is the statics immediates with because you

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<v Speaker 3>don't die immediately different cancers because you don't get the

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<v Speaker 3>screened or treated. But that's something that will show up

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<v Speaker 3>in in the mortality statistics for years to come.

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<v Speaker 2>Somebody who maybe.

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<v Speaker 3>Will not die maybe two years from now that would

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<v Speaker 3>otherwise have lived now ten twenty years. So these things

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<v Speaker 3>is something that we have to live with for a

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<v Speaker 3>long time and it's very tragic, I think. But we

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<v Speaker 3>also have the verdict now in looking at overall mortality.

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<v Speaker 3>So you can compare access mortality from twenty twenty to

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<v Speaker 3>twenty twenty two to two so otherand twenty three, and

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<v Speaker 3>we see that the major Western countries, Among major Western countries,

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<v Speaker 3>the country that has the lowest access mortality is Sweden,

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<v Speaker 3>which is the country that famously did not lockdown. They

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<v Speaker 3>did the measures to protect other people and so on,

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<v Speaker 3>but they didn't They never closed the elementary schools, they

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<v Speaker 3>never closed the day cares, and they kept the businesses

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<v Speaker 3>and restaurants open, so and and so on. So we know,

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<v Speaker 3>as it's kind of so that's the combination in that

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<v Speaker 3>the lockdowns didn't really prevent any death at the same

0:12:41.720 --> 0:12:45.360
<v Speaker 3>time the lockdowns that it didn't prevent COVID desk at

0:12:45.360 --> 0:12:49.719
<v Speaker 3>the same time it caused death on other aspects of

0:12:49.760 --> 0:12:53.439
<v Speaker 3>public health like quadiovascular disease or or mental health or

0:12:54.679 --> 0:12:55.480
<v Speaker 3>cancer and so on.

0:12:56.480 --> 0:12:58.440
<v Speaker 1>Well, and our remember, you know, Sweden came out of

0:12:58.440 --> 0:13:01.840
<v Speaker 1>a great scrutiny for you know, the way they decided

0:13:01.840 --> 0:13:05.040
<v Speaker 1>to handle COVID, but you know, it looks like in

0:13:05.120 --> 0:13:07.640
<v Speaker 1>terms of outcomes as you laid out, you know, they

0:13:07.640 --> 0:13:08.440
<v Speaker 1>came out on top.

0:13:10.080 --> 0:13:12.920
<v Speaker 3>Yeah, we'll see the same thing in the in the US,

0:13:12.960 --> 0:13:16.640
<v Speaker 3>for example, Florida, they locked down in the spring there,

0:13:16.679 --> 0:13:20.160
<v Speaker 3>but then they sort of took a different, more focused

0:13:20.160 --> 0:13:24.760
<v Speaker 3>protection approach and the Florida did slightly better than California

0:13:24.800 --> 0:13:27.240
<v Speaker 3>if you if you look at age just that COVID

0:13:27.280 --> 0:13:32.640
<v Speaker 3>mortality even though California locked down very harshly, so sort

0:13:32.640 --> 0:13:35.280
<v Speaker 3>of Florida to do well hasn't the lowest in the

0:13:35.440 --> 0:13:38.000
<v Speaker 3>in the state, but it's on the on the on

0:13:38.040 --> 0:13:42.120
<v Speaker 3>the positive half of states. We could also compare South Dakota,

0:13:42.640 --> 0:13:45.840
<v Speaker 3>who didn't lock down much compared to North Dakota, not

0:13:46.000 --> 0:13:50.200
<v Speaker 3>just next to it, and they.

0:13:48.800 --> 0:13:51.760
<v Speaker 2>Have a very similar COVID mortality.

0:13:53.040 --> 0:13:56.280
<v Speaker 1>Well, and we knew from really early on in the

0:13:56.280 --> 0:14:00.840
<v Speaker 1>pandemic that young people were not as impacted as elderly.

0:14:01.800 --> 0:14:05.160
<v Speaker 1>Yet you know, our public health officials never drew that distinction.

0:14:06.440 --> 0:14:08.559
<v Speaker 2>Yeah, that's sort of shocking because.

0:14:10.280 --> 0:14:14.640
<v Speaker 3>When the COVID reached northern Italy with outbreak there and

0:14:14.640 --> 0:14:17.240
<v Speaker 3>in Iran, which was the two places also of China

0:14:17.280 --> 0:14:20.080
<v Speaker 3>would where there was sort of outbreaks at the earliest.

0:14:21.120 --> 0:14:23.920
<v Speaker 3>I got scared for about ten twenty minutes because I

0:14:24.040 --> 0:14:26.680
<v Speaker 3>realized that, okay, this is going to reach.

0:14:26.560 --> 0:14:30.640
<v Speaker 2>The whole world. Sooner or late, they will reach every

0:14:30.640 --> 0:14:33.800
<v Speaker 2>corner of the globe. So I quickly looked.

0:14:33.560 --> 0:14:35.600
<v Speaker 3>At the data from vu Wan because we didn't have

0:14:35.640 --> 0:14:37.880
<v Speaker 3>any I don't think we had any mortality in the

0:14:38.000 --> 0:14:41.400
<v Speaker 3>US by that time. So I looked at the Vuan data,

0:14:42.200 --> 0:14:46.040
<v Speaker 3>and obviously people of all ages would have gotten affected

0:14:46.280 --> 0:14:49.840
<v Speaker 3>in Wuhan, but of the people who died, it was

0:14:51.080 --> 0:14:55.320
<v Speaker 3>heavily weighted towards all the people. So I did some

0:14:55.520 --> 0:14:58.960
<v Speaker 3>back of the envelope calculations and I concluded that the

0:14:59.000 --> 0:15:01.880
<v Speaker 3>difference in mortal at risk of mortality was more than

0:15:01.880 --> 0:15:03.960
<v Speaker 3>a thousand and four difference between the old and the young.

0:15:04.440 --> 0:15:06.760
<v Speaker 3>So then it was obvious that okay, we can. I

0:15:06.840 --> 0:15:08.920
<v Speaker 3>was so I was relieved because as a parent, I

0:15:09.000 --> 0:15:11.720
<v Speaker 3>care more about my chillers lives for my own life,

0:15:12.200 --> 0:15:14.040
<v Speaker 3>so I knew they would be fine. I was never

0:15:14.080 --> 0:15:15.920
<v Speaker 3>worried about them.

0:15:16.640 --> 0:15:17.600
<v Speaker 2>So it was August done.

0:15:17.600 --> 0:15:20.000
<v Speaker 3>We should let kids live their lives young and also

0:15:20.080 --> 0:15:25.080
<v Speaker 3>go about their business while we sort of maintaining society

0:15:25.280 --> 0:15:28.200
<v Speaker 3>was important society. While we let older people make sure

0:15:28.240 --> 0:15:32.920
<v Speaker 3>older people are protected. Instead, we protected the laptop class

0:15:32.920 --> 0:15:35.000
<v Speaker 3>who could work from home even if we are twenty

0:15:35.040 --> 0:15:38.360
<v Speaker 3>five years old and miniscule risk. Or we had sixty

0:15:38.360 --> 0:15:41.080
<v Speaker 3>five year old cab drivers out there driving cabs, and

0:15:41.800 --> 0:15:44.040
<v Speaker 3>that's one of the professions where they are most at

0:15:44.120 --> 0:15:48.440
<v Speaker 3>hirisks to be exposed. So the lockdowns was the biggest

0:15:48.440 --> 0:15:51.800
<v Speaker 3>assault on the working class and the middle class here

0:15:51.840 --> 0:15:54.960
<v Speaker 3>in the US since the segregation and the Vietnam War.

0:15:56.160 --> 0:15:57.920
<v Speaker 1>Well, and and to a point that you made earlier,

0:15:57.920 --> 0:16:00.960
<v Speaker 1>I mean, there is a real deep and twisted irony.

0:16:01.040 --> 0:16:04.640
<v Speaker 1>And you know, we were praising all these nurses and

0:16:05.000 --> 0:16:08.080
<v Speaker 1>healthcare workers who worked during the height of the pandemic

0:16:08.160 --> 0:16:10.360
<v Speaker 1>and got sick with COVID as a result, and then

0:16:10.720 --> 0:16:13.760
<v Speaker 1>we fired them if they decided not to get the vaccine,

0:16:13.880 --> 0:16:16.560
<v Speaker 1>when when they already had built up immunity, which, as

0:16:16.600 --> 0:16:19.160
<v Speaker 1>you pointed out, has been a thing since the beginning

0:16:19.160 --> 0:16:19.560
<v Speaker 1>of time.

0:16:21.280 --> 0:16:25.120
<v Speaker 3>It's it's astonishing and tragic, I think, and I think

0:16:25.160 --> 0:16:27.640
<v Speaker 3>all those nurses should be higher and back, they should

0:16:27.640 --> 0:16:31.200
<v Speaker 3>be off with their jobs back, so as well as

0:16:31.240 --> 0:16:32.320
<v Speaker 3>everybody else was fired.

0:16:32.880 --> 0:16:34.960
<v Speaker 2>Well, you know, I.

0:16:35.240 --> 0:16:37.040
<v Speaker 1>Think in you know, having had a lot of these

0:16:37.080 --> 0:16:40.720
<v Speaker 1>conversations with like truth tellers and people like you and

0:16:40.920 --> 0:16:44.960
<v Speaker 1>doctor Badicharia and doctor Atlas, who I've all had, you know,

0:16:45.000 --> 0:16:49.600
<v Speaker 1>on on my show, it seems like COVID in its entirety,

0:16:49.680 --> 0:16:51.760
<v Speaker 1>you know, and obviously was never about the truth. It

0:16:51.760 --> 0:16:54.160
<v Speaker 1>was never about the facts, it was never about the evidence.

0:16:55.040 --> 0:16:58.160
<v Speaker 1>It was more about people getting in line and then

0:16:58.200 --> 0:17:03.240
<v Speaker 1>punishing any dissenters. And that really was across the all fields. Right.

0:17:03.240 --> 0:17:05.400
<v Speaker 1>If you're in the media, you spoke out, they try

0:17:05.440 --> 0:17:07.679
<v Speaker 1>to punish you. If you're in the scientific community as

0:17:07.720 --> 0:17:10.480
<v Speaker 1>you are, they try to punish you. And it seems

0:17:10.520 --> 0:17:13.360
<v Speaker 1>like it was more about just shut up and cement.

0:17:15.119 --> 0:17:18.439
<v Speaker 3>It was a very authoritarian mindset, yes, And to me

0:17:18.560 --> 0:17:22.119
<v Speaker 3>that's sort of shocking. I thought that freewa speech was

0:17:22.160 --> 0:17:25.680
<v Speaker 3>sort of a pillar that everybody agreed on, and I

0:17:25.720 --> 0:17:28.359
<v Speaker 3>guess that's no longer the case, which is tragic. And

0:17:28.440 --> 0:17:31.200
<v Speaker 3>I think if we don't get back to the mindset

0:17:31.240 --> 0:17:33.159
<v Speaker 3>of fido or speech, I think that's the end of

0:17:33.240 --> 0:17:38.680
<v Speaker 3>Western civilization. I know, and I mean I know scientists

0:17:38.680 --> 0:17:41.280
<v Speaker 3>who were fired, I know physicians, nurses was fired.

0:17:41.359 --> 0:17:44.280
<v Speaker 2>I know journalist who was fired so on.

0:17:44.440 --> 0:17:47.320
<v Speaker 3>So yeah, it hit a lot of people, So I'm

0:17:47.359 --> 0:17:49.960
<v Speaker 3>not I'm not surprised that a lot of people just

0:17:50.040 --> 0:17:50.359
<v Speaker 3>to say it.

0:17:50.359 --> 0:17:52.440
<v Speaker 2>Don't going to shot my mouth. I'm not going to

0:17:52.600 --> 0:17:52.960
<v Speaker 2>risk my.

0:17:54.680 --> 0:17:59.520
<v Speaker 3>Income and my family for this, So I fully understand

0:17:59.560 --> 0:18:01.280
<v Speaker 3>that people would not speak out.

0:18:01.680 --> 0:18:04.720
<v Speaker 1>No, I like you in the sense of I can

0:18:04.760 --> 0:18:07.840
<v Speaker 1>see why people did not, but you know, like you,

0:18:08.000 --> 0:18:10.640
<v Speaker 1>I just I can't be one of those people. I'd

0:18:10.720 --> 0:18:14.200
<v Speaker 1>rather you know, if someone tells me you can't press

0:18:14.240 --> 0:18:16.840
<v Speaker 1>the red button, but pressing the red button is what

0:18:17.000 --> 0:18:18.640
<v Speaker 1>needs to be done, or is the right thing to do,

0:18:18.720 --> 0:18:21.000
<v Speaker 1>I'm just gonna do it, and I guess take the

0:18:21.040 --> 0:18:22.400
<v Speaker 1>consequences as they come.

0:18:23.119 --> 0:18:23.760
<v Speaker 2>Thank you, Lisa.

0:18:23.760 --> 0:18:25.760
<v Speaker 3>I'm glad that you have that attitude, and I think

0:18:25.800 --> 0:18:28.840
<v Speaker 3>that's important to have people like you so well, You're.

0:18:28.720 --> 0:18:30.960
<v Speaker 1>You're much more brave than me because this is my job.

0:18:31.119 --> 0:18:33.480
<v Speaker 1>You know, Like, I think you were a total coward

0:18:33.600 --> 0:18:35.960
<v Speaker 1>if you work in the media and you're unwilling to

0:18:35.960 --> 0:18:39.840
<v Speaker 1>be honest. But like you risked your career at Harvard

0:18:39.920 --> 0:18:42.119
<v Speaker 1>to speak out. I mean you didn't. You didn't have to,

0:18:42.200 --> 0:18:44.200
<v Speaker 1>you know, I mean, I think what you guys did

0:18:44.280 --> 0:18:44.920
<v Speaker 1>is what's brave.

0:18:45.359 --> 0:18:49.320
<v Speaker 3>I have to disagree with that. I'm a scientist. If

0:18:49.359 --> 0:18:53.040
<v Speaker 3>I was a chemist, I could keep quiet, But I'm

0:18:53.560 --> 0:18:56.400
<v Speaker 3>I'm an affection to SASE scientists, so it's my job

0:18:56.440 --> 0:18:58.840
<v Speaker 3>to speak up. I have no other choice in my view,

0:18:59.240 --> 0:19:01.720
<v Speaker 3>you know, That's all.

0:19:01.880 --> 0:19:04.880
<v Speaker 1>I read the column that you wrote. You had mentioned,

0:19:05.080 --> 0:19:08.359
<v Speaker 1>I know you're the CDC. You're briefly on the COVID

0:19:08.440 --> 0:19:12.200
<v Speaker 1>vaccine the Safety Technical work Group. It didn't last long

0:19:12.200 --> 0:19:14.359
<v Speaker 1>because again, you know, they don't they don't like people

0:19:14.359 --> 0:19:17.040
<v Speaker 1>who tell the truth or raised questions these days. But

0:19:17.080 --> 0:19:19.679
<v Speaker 1>you had mentioned that something that didn't sit right you

0:19:19.800 --> 0:19:22.399
<v Speaker 1>with you was that the randomized control trials for the

0:19:22.400 --> 0:19:25.560
<v Speaker 1>COVID vaccines were not properly designed. What do you mean

0:19:25.640 --> 0:19:29.840
<v Speaker 1>by that and how does that impact I guess the

0:19:29.880 --> 0:19:33.000
<v Speaker 1>safety of a vaccine or what we know about a

0:19:33.080 --> 0:19:34.040
<v Speaker 1>vaccine safety.

0:19:35.240 --> 0:19:40.320
<v Speaker 3>So whenever drag or vaccine is approved by FDA, they

0:19:40.359 --> 0:19:44.399
<v Speaker 3>have to do this. You need to do randomized trials

0:19:44.440 --> 0:19:47.720
<v Speaker 3>to show that it works. And so the good thing

0:19:47.800 --> 0:19:50.840
<v Speaker 3>with the COVID trials was that was randomized. That's a

0:19:50.880 --> 0:19:54.480
<v Speaker 3>good thing. The bad thing was that the outcome they

0:19:54.480 --> 0:19:59.119
<v Speaker 3>looked at was symptomatic disease. Now at all of this

0:19:59.240 --> 0:20:02.120
<v Speaker 3>on artless. But I don't really care if you're homesick

0:20:02.160 --> 0:20:08.080
<v Speaker 3>for a few days because I have to be in

0:20:08.119 --> 0:20:11.040
<v Speaker 3>bed for two days. What I care about is if

0:20:11.119 --> 0:20:13.600
<v Speaker 3>you die. I don't want you to die. I don't

0:20:13.600 --> 0:20:16.760
<v Speaker 3>want you to a little hospitalize either, So but that's

0:20:16.800 --> 0:20:20.679
<v Speaker 3>what matters. But these trials, the randomized trials that was

0:20:20.720 --> 0:20:25.879
<v Speaker 3>designed by fire Cera Moderna, they evaluated symptomatic COVID disease.

0:20:27.200 --> 0:20:32.760
<v Speaker 3>They didn't evaluate mortality or they recorded it. But they

0:20:32.800 --> 0:20:37.919
<v Speaker 3>recruited mostly young and middle aged adults, so they were

0:20:37.960 --> 0:20:40.760
<v Speaker 3>going to survive COVID no matter what the vast majority,

0:20:40.840 --> 0:20:43.159
<v Speaker 3>whether they were on the vaccine or the placebo. So

0:20:43.200 --> 0:20:46.960
<v Speaker 3>therefore it's not very informative in terms of seeing if

0:20:47.080 --> 0:20:49.800
<v Speaker 3>it prevents mortality or not. It's the informative in terms

0:20:49.880 --> 0:20:54.040
<v Speaker 3>of symptomatic disease, but that's only relevant or very little importance.

0:20:55.000 --> 0:20:56.800
<v Speaker 2>So they designed it wrongly.

0:20:56.520 --> 0:21:01.480
<v Speaker 3>And then and then they stop the trials too soon also,

0:21:01.560 --> 0:21:04.720
<v Speaker 3>so they only monitor this for a few months, and

0:21:04.760 --> 0:21:06.760
<v Speaker 3>we usually had trials that can go on for years

0:21:06.760 --> 0:21:11.920
<v Speaker 3>and years for cancer drag or something like that. So

0:21:12.320 --> 0:21:15.919
<v Speaker 3>that's also inappro inappropriate because that means we don't know.

0:21:15.960 --> 0:21:19.840
<v Speaker 3>We don't have strong randomized evidence whether for the long

0:21:19.920 --> 0:21:25.680
<v Speaker 3>time effect, both of efficacy and address reactions. So they

0:21:25.720 --> 0:21:32.119
<v Speaker 3>should have done designed these differently. And then they did correctly,

0:21:32.160 --> 0:21:36.240
<v Speaker 3>I think, decide not to recruit people who had already

0:21:36.280 --> 0:21:39.280
<v Speaker 3>had COVID and too when they had they had a few,

0:21:39.320 --> 0:21:41.199
<v Speaker 3>but they sort of removed that from the analysis, and

0:21:41.200 --> 0:21:43.760
<v Speaker 3>I think that was correct because we don't need these

0:21:43.840 --> 0:21:46.800
<v Speaker 3>vaccines for those. But then what was wrong was even

0:21:46.840 --> 0:21:50.200
<v Speaker 3>though it was tested on people without who hadn't had COVID,

0:21:50.760 --> 0:21:54.560
<v Speaker 3>it was also man that for people who had already

0:21:54.600 --> 0:21:59.080
<v Speaker 3>had COVID. But you don't think it would would would work, Uh,

0:21:59.200 --> 0:22:04.320
<v Speaker 3>we don't need So they were also using those trials

0:22:04.359 --> 0:22:07.680
<v Speaker 3>to do extrapolation that we didn't know. They also didn't

0:22:07.720 --> 0:22:09.639
<v Speaker 3>look at transmission. They could have done that if they

0:22:09.680 --> 0:22:13.520
<v Speaker 3>wanted to, but they didn't. But CDC was anyhow arguing

0:22:13.560 --> 0:22:17.080
<v Speaker 3>that this will stop transmission, which of course it didn't.

0:22:17.400 --> 0:22:21.840
<v Speaker 3>So the trials were designed were flawed. That doesn't mean

0:22:21.840 --> 0:22:24.800
<v Speaker 3>that the vaccine didn't save some people's life. I think

0:22:24.800 --> 0:22:27.600
<v Speaker 3>the vaccine did say in twenty twenty one, the lives

0:22:27.640 --> 0:22:31.240
<v Speaker 3>of older people when it comes to yago people, I

0:22:31.240 --> 0:22:34.919
<v Speaker 3>think is the big question mark, how what the benefit

0:22:35.040 --> 0:22:35.800
<v Speaker 3>this creature was?

0:22:36.000 --> 0:22:42.760
<v Speaker 1>Quick break stay with us? You Also, the CDC sort

0:22:42.760 --> 0:22:46.000
<v Speaker 1>of continuously changed the definition of what it means to

0:22:46.359 --> 0:22:48.920
<v Speaker 1>be vaccinated, changed the definition of it, you know. I

0:22:48.960 --> 0:22:51.400
<v Speaker 1>mean they kind of like twisted these things to meet

0:22:51.400 --> 0:22:54.000
<v Speaker 1>the criteria of what they knew the vaccine was doing.

0:22:54.560 --> 0:22:58.800
<v Speaker 1>Should we be worried about future vaccines? Has the process

0:22:58.880 --> 0:23:02.480
<v Speaker 1>been like taged and diminished in the kind of vaccine,

0:23:02.560 --> 0:23:05.359
<v Speaker 1>like the the what vaccines need to go through to

0:23:05.359 --> 0:23:07.080
<v Speaker 1>be put out to market? It just seems like the

0:23:07.160 --> 0:23:10.440
<v Speaker 1>rush nature in this sort of the failures and making

0:23:10.480 --> 0:23:13.120
<v Speaker 1>sure these were as safe and effective as they could be,

0:23:13.200 --> 0:23:16.359
<v Speaker 1>sort of the twisting of definitions like should we be

0:23:16.400 --> 0:23:19.640
<v Speaker 1>concerned about future vaccines? That sort of the approval process

0:23:19.640 --> 0:23:20.800
<v Speaker 1>has now been diminished.

0:23:21.280 --> 0:23:22.600
<v Speaker 2>Yeah, So I think.

0:23:24.440 --> 0:23:28.399
<v Speaker 3>I understand why people don't trust vaccines anymore because the

0:23:28.480 --> 0:23:31.119
<v Speaker 3>way that the COVID vaccine was handled was very poorly.

0:23:32.160 --> 0:23:35.400
<v Speaker 3>So I understand that then people start questioning.

0:23:34.920 --> 0:23:36.399
<v Speaker 2>You the vaccines.

0:23:38.000 --> 0:23:41.399
<v Speaker 3>Like tribate vaccines, but I mean sound vaccines are very important,

0:23:41.440 --> 0:23:44.760
<v Speaker 3>like the musle vaccines are very important, and the poorio vaccines.

0:23:46.119 --> 0:23:47.520
<v Speaker 2>But I don't know what the future.

0:23:47.600 --> 0:23:50.080
<v Speaker 3>I don't know if we will go back to doing

0:23:50.119 --> 0:23:51.919
<v Speaker 3>it in a more thorough way that we used to

0:23:51.960 --> 0:23:54.680
<v Speaker 3>do it, or if this is the new the new

0:23:54.680 --> 0:23:56.240
<v Speaker 3>way of doing things, And if this is a new

0:23:56.240 --> 0:23:59.800
<v Speaker 3>way of doing things, then nowahouldn't test that? And I

0:23:59.800 --> 0:24:02.520
<v Speaker 3>think think CDC has an enormous trust problem, and I

0:24:02.560 --> 0:24:03.440
<v Speaker 3>realized it themselves.

0:24:03.480 --> 0:24:04.560
<v Speaker 2>Now I don't know.

0:24:04.560 --> 0:24:06.680
<v Speaker 3>I don't think that quite realizes what is due to

0:24:07.440 --> 0:24:13.480
<v Speaker 3>but we have a trust problem. My thinking, my principle

0:24:13.560 --> 0:24:18.040
<v Speaker 3>is basic that if you have a scientist who refuses

0:24:18.119 --> 0:24:22.119
<v Speaker 3>to debate other scientists of of who have a different perspective,

0:24:22.160 --> 0:24:23.320
<v Speaker 3>you simply trust them.

0:24:23.720 --> 0:24:24.600
<v Speaker 2>We should always.

0:24:24.359 --> 0:24:28.680
<v Speaker 3>Trust scientists who are willing to put themselves out there

0:24:28.760 --> 0:24:33.640
<v Speaker 3>and discuss and debate their views with other scientists who

0:24:33.760 --> 0:24:34.440
<v Speaker 3>think differently.

0:24:35.359 --> 0:24:37.959
<v Speaker 1>Well, I think what's scary and where we are now

0:24:38.040 --> 0:24:39.720
<v Speaker 1>which is not a good place to be in it

0:24:39.760 --> 0:24:41.679
<v Speaker 1>And it's because of her, the failure of our public

0:24:41.680 --> 0:24:45.320
<v Speaker 1>health officials and also mind you you know higher education

0:24:45.560 --> 0:24:50.400
<v Speaker 1>like have Harvard firing people like you. Is that they've

0:24:50.440 --> 0:24:53.359
<v Speaker 1>lost all this trust and lost all this faith over

0:24:53.800 --> 0:24:57.160
<v Speaker 1>a virus. It even the CDC acknowledges now is essentially

0:24:57.160 --> 0:24:59.840
<v Speaker 1>the flu right you know, even you had mentioned polio. Okay,

0:24:59.880 --> 0:25:02.880
<v Speaker 1>so adults for polios at fifteen to thirty percent fatality rate,

0:25:02.880 --> 0:25:06.760
<v Speaker 1>that's a real fatality rate, right. So what happens if

0:25:06.800 --> 0:25:09.639
<v Speaker 1>we have a virus in the future with a real,

0:25:09.760 --> 0:25:13.639
<v Speaker 1>real fatality rate and you have an entire population that

0:25:13.760 --> 0:25:16.040
<v Speaker 1>doesn't trust your public health officials now has a fear

0:25:16.080 --> 0:25:19.080
<v Speaker 1>of vaccines, has a fear of what we're told. So

0:25:19.119 --> 0:25:20.720
<v Speaker 1>it's like, you know what happens, then.

0:25:21.880 --> 0:25:25.359
<v Speaker 3>Well that's a problem. Supposed that comes a very serious pandemic.

0:25:25.440 --> 0:25:28.560
<v Speaker 3>I suppose we come up with the vaccine that's perfect,

0:25:28.720 --> 0:25:31.480
<v Speaker 3>no flaws. There are people who are not going to

0:25:31.560 --> 0:25:34.480
<v Speaker 3>take the vaccine because they don't trust CDC or FJA anymore.

0:25:35.800 --> 0:25:37.440
<v Speaker 1>I mean, if you tell me to get it, I'll

0:25:37.440 --> 0:25:41.679
<v Speaker 1>get it. But if the faucies of the world tell me,

0:25:41.760 --> 0:25:44.720
<v Speaker 1>I'll tell them to pound stand. You know, I what

0:25:44.800 --> 0:25:46.000
<v Speaker 1>if a thing I want to get you on because

0:25:46.040 --> 0:25:49.280
<v Speaker 1>I thought this was interesting and totally a side note

0:25:50.560 --> 0:25:52.320
<v Speaker 1>you had written in the column that you wrote in

0:25:52.320 --> 0:25:54.919
<v Speaker 1>the column that you had about that you worked for

0:25:55.000 --> 0:25:59.879
<v Speaker 1>human rights organization in Guatemala in nineteen eighty and you

0:26:00.160 --> 0:26:03.400
<v Speaker 1>had two colleagues that were stabbed and a hand grenade

0:26:03.400 --> 0:26:05.480
<v Speaker 1>that was thrown in the house where you all lived

0:26:05.480 --> 0:26:07.360
<v Speaker 1>and worked. Tell us about that story.

0:26:08.520 --> 0:26:11.399
<v Speaker 3>Yeah, So after it was a student, I worked as

0:26:11.400 --> 0:26:17.800
<v Speaker 3>the human rights observing Guatemala in nineteen eighty nine, and

0:26:17.920 --> 0:26:21.800
<v Speaker 3>this was during the military dictatorship there, so people who

0:26:21.840 --> 0:26:25.080
<v Speaker 3>were opposing and was trying There was no freedom of speech,

0:26:25.119 --> 0:26:27.400
<v Speaker 3>for example, so people who were speaking up, they were

0:26:27.840 --> 0:26:32.119
<v Speaker 3>sometimes killed. Sometimes that just disappeared, was taken from the

0:26:32.119 --> 0:26:33.680
<v Speaker 3>street and nobody knew what happened to them.

0:26:34.240 --> 0:26:37.400
<v Speaker 2>So there were several very brave Guatemalas.

0:26:37.440 --> 0:26:40.359
<v Speaker 3>There was the mothers of the disappears, for example, whose

0:26:40.600 --> 0:26:42.680
<v Speaker 3>sons and daughters had been disappeared and who were sort

0:26:42.680 --> 0:26:44.720
<v Speaker 3>of demonstrating and trying to find out what happened to

0:26:44.760 --> 0:26:48.800
<v Speaker 3>their children. There were campusenos who was working against enforced

0:26:48.960 --> 0:26:54.400
<v Speaker 3>military conscriptions. There were trade unionists, student groups, women's groups

0:26:55.040 --> 0:26:58.840
<v Speaker 3>and so on who were oppressed because they didn't have

0:26:58.880 --> 0:27:01.680
<v Speaker 3>the feedom of speech to speak cup. So we were

0:27:01.680 --> 0:27:06.440
<v Speaker 3>there to accompany them as the international because the military

0:27:06.520 --> 0:27:09.679
<v Speaker 3>had were concerned about the international reputations. So I was

0:27:09.720 --> 0:27:13.520
<v Speaker 3>walking around with these people. It's very brave Guatemalans to

0:27:13.720 --> 0:27:17.640
<v Speaker 3>help protect them from something happening to them, and we

0:27:17.640 --> 0:27:20.159
<v Speaker 3>were a nuisance to the military dictators. So at one

0:27:20.240 --> 0:27:22.320
<v Speaker 3>point they tried to scare us away from the country.

0:27:22.359 --> 0:27:24.560
<v Speaker 3>So two of my college were stabbed as they were

0:27:24.560 --> 0:27:27.640
<v Speaker 3>working on the street, and at one point they threw

0:27:27.720 --> 0:27:31.880
<v Speaker 3>hangunade into the house, our house where sort of everybody

0:27:31.920 --> 0:27:37.199
<v Speaker 3>lived and worked. So at that time, I guess I

0:27:37.320 --> 0:27:40.280
<v Speaker 3>sort of risked my life to support the freedom of

0:27:40.320 --> 0:27:47.000
<v Speaker 3>speech and democracy and the lives of people. So it

0:27:47.080 --> 0:27:49.000
<v Speaker 3>was an easy decision to do the same other wriddle

0:27:49.080 --> 0:27:54.880
<v Speaker 3>pandemic because while I was landed and there were takedowns

0:27:54.920 --> 0:27:58.359
<v Speaker 3>from highest sources of them as director against me, I

0:27:58.480 --> 0:28:02.200
<v Speaker 3>never I never risked my life to do during this pandemic.

0:28:02.359 --> 0:28:05.640
<v Speaker 1>So I guess what do you think the toughest part

0:28:06.000 --> 0:28:09.760
<v Speaker 1>about that, about just going through COVID has has been

0:28:09.800 --> 0:28:14.000
<v Speaker 1>for you? You know, I assume it's it's got to

0:28:14.040 --> 0:28:17.960
<v Speaker 1>be really disheartening to have spent you know, your entire

0:28:18.000 --> 0:28:21.920
<v Speaker 1>career really trying to help the public, inform the public,

0:28:22.080 --> 0:28:27.199
<v Speaker 1>keep the public safe, and then to be slandered in

0:28:27.240 --> 0:28:29.840
<v Speaker 1>the manner in which you've been, that's got to be

0:28:30.240 --> 0:28:31.520
<v Speaker 1>that's got to be really frustrating.

0:28:32.280 --> 0:28:34.600
<v Speaker 3>I think the hardest part is so in the past

0:28:34.800 --> 0:28:37.800
<v Speaker 3>when I meet new people and we talked and so

0:28:37.880 --> 0:28:39.720
<v Speaker 3>what do you do? And I say, I'm a scientist.

0:28:40.480 --> 0:28:42.440
<v Speaker 3>And I was always so proud to say, oh, I'm

0:28:42.480 --> 0:28:46.040
<v Speaker 3>a scientist, and that was sort of my self identity

0:28:46.080 --> 0:28:49.200
<v Speaker 3>and private entity. And now people ask I can no

0:28:49.320 --> 0:28:51.840
<v Speaker 3>longer say that, I'm not long proud to say that

0:28:51.880 --> 0:28:54.280
<v Speaker 3>I'm a scientist because I think science has failed, the

0:28:54.320 --> 0:28:57.200
<v Speaker 3>scientists community has failed during this pandemic.

0:28:58.160 --> 0:29:01.240
<v Speaker 2>So and it's.

0:29:01.080 --> 0:29:06.719
<v Speaker 3>Disheartening that that the scientific community was not able to

0:29:06.720 --> 0:29:09.240
<v Speaker 3>to to to sort of stand up and do the

0:29:09.320 --> 0:29:14.760
<v Speaker 3>right thing during this pandemic. But uh basically did while

0:29:14.840 --> 0:29:18.720
<v Speaker 3>they were told by the by the leadership in that

0:29:18.840 --> 0:29:19.960
<v Speaker 3>of Foucy and others.

0:29:20.480 --> 0:29:22.560
<v Speaker 2>And that's true.

0:29:24.120 --> 0:29:27.320
<v Speaker 3>That's that's that's that's sad that we cannot be proud

0:29:27.320 --> 0:29:29.040
<v Speaker 3>to be of being scientists anymore.

0:29:30.520 --> 0:29:33.280
<v Speaker 1>Where can people stay on top of your work? Where

0:29:33.320 --> 0:29:34.640
<v Speaker 1>is the best place for them to find you?

0:29:35.400 --> 0:29:38.520
<v Speaker 3>So together with well they can reach They can see

0:29:38.520 --> 0:29:41.480
<v Speaker 3>me on Twitter or LinkedIn other social media like cab

0:29:41.560 --> 0:29:45.680
<v Speaker 3>or ghats through social but also with the able to

0:29:45.760 --> 0:29:49.040
<v Speaker 3>try and Scott Atlas, we we have the sort of

0:29:49.040 --> 0:29:52.880
<v Speaker 3>the Academy for Science and Freedom together with the Hillsdale College,

0:29:53.760 --> 0:29:56.760
<v Speaker 3>which is an attempt to sort of restore the integrity

0:29:57.240 --> 0:29:59.600
<v Speaker 3>of the scientific community. And that's maybe a long.

0:30:01.000 --> 0:30:01.120
<v Speaker 1>Well.

0:30:01.160 --> 0:30:03.280
<v Speaker 3>I never doubted that we will eventually prove the right

0:30:03.400 --> 0:30:06.800
<v Speaker 3>about the pandemic when it comes to academia. I think

0:30:06.880 --> 0:30:09.360
<v Speaker 3>it's the fifty fifty child that we're able to sort

0:30:09.360 --> 0:30:12.640
<v Speaker 3>of steer the right ship in the right direction, versus

0:30:12.640 --> 0:30:17.160
<v Speaker 3>is sort of going further downhill. So we'll see how

0:30:17.200 --> 0:30:19.160
<v Speaker 3>that works, but at least you have to try it.

0:30:19.560 --> 0:30:22.680
<v Speaker 3>So I've Kennedy for Science and Freedom.

0:30:22.760 --> 0:30:25.160
<v Speaker 1>Martin Colder, I just want to thank you. I've got

0:30:25.280 --> 0:30:27.480
<v Speaker 1>to know a lot of you guys throughout COVID, and

0:30:27.720 --> 0:30:30.560
<v Speaker 1>I just it really is brave what you guys have done.

0:30:30.680 --> 0:30:33.200
<v Speaker 1>I don't think people really fully understand just what you

0:30:33.200 --> 0:30:36.240
<v Speaker 1>guys have been put through, the thing, you know, just

0:30:36.320 --> 0:30:38.880
<v Speaker 1>even attacks for your family, just all of it. And

0:30:39.720 --> 0:30:41.800
<v Speaker 1>you really are a brave man, a good man, And

0:30:42.200 --> 0:30:43.760
<v Speaker 1>I just want to thank you for the bottom of

0:30:43.760 --> 0:30:46.760
<v Speaker 1>my heart for being so brave and really just fighting

0:30:46.800 --> 0:30:48.040
<v Speaker 1>for the truth so fearlessly.

0:30:49.000 --> 0:30:52.160
<v Speaker 3>And thank you Lisa, because to be honest, I haven't.

0:30:52.520 --> 0:30:56.280
<v Speaker 3>I don't have a very good esteemed to most journalists anymore,

0:30:56.360 --> 0:31:00.720
<v Speaker 3>but you are shining light in the dark a professional

0:31:00.720 --> 0:31:01.320
<v Speaker 3>there right now.

0:31:01.760 --> 0:31:03.440
<v Speaker 1>Thank you, sir. That means the world to me. I

0:31:03.480 --> 0:31:05.800
<v Speaker 1>really appreciate you making the time. I'm looking forward to

0:31:06.080 --> 0:31:09.440
<v Speaker 1>saying all the things that you guys accomplish at Hillsdale

0:31:09.640 --> 0:31:12.719
<v Speaker 1>and just everything moving forward, and just really appreciate you.

0:31:13.000 --> 0:31:14.239
<v Speaker 2>Thank you, thanks for having me on.

0:31:15.440 --> 0:31:18.360
<v Speaker 1>That was doctor Martin Kolder. Just really appreciate him making

0:31:18.400 --> 0:31:20.200
<v Speaker 1>the time. He's a good man, he's a brave man.

0:31:20.400 --> 0:31:22.280
<v Speaker 1>I want to thank you guys at home for listening.

0:31:22.440 --> 0:31:24.440
<v Speaker 1>I also want to think John Cassio and my producer

0:31:24.480 --> 0:31:26.400
<v Speaker 1>for putting the show together. Until next time,