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Speaker 1: The Michael Berry Show. Cheryl Atkisson is a true American journalist.

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Speaker 1: She's also an author. She's a media critic. It's a

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Speaker 1: beautiful woman. She's a patriot. She's known for her investigative

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Speaker 1: reporting and independent stance on media bias and government transparency.

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Speaker 1: Cheryl Atkison worked for over two decades at CBS, where

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Speaker 1: she gained recognition for her in depth investigative pieces, including

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Speaker 1: coverage of the Fast and Furious scandal, where I think

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Speaker 1: she led the charge on that, and the Bengazi attack.

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Speaker 1: In twenty fourteen, she resigned from CBS News citing concerns

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Speaker 1: over editorial interference, which was a nice way to say

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Speaker 1: they were protecting Barack Obama and she was exposing the

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Speaker 1: truth and what she viewed as a liberal bias that

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Speaker 1: prevented certain stories from being fully pursued. After leaving CBS,

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Speaker 1: she became an outspoken critic of media groupthink and political narratives,

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Speaker 1: advocating for greater political independence. She hosts the weekly Sunday

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Speaker 1: TV news program Full Measure with Cheryl Atkinson, which focuses

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Speaker 1: on investigative journalism and topics often overlooked by mainstream outlets.

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Speaker 1: She recently gave a lecture at the wonderful Hillsdale College

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Speaker 1: on the problem of Big Pharma and how the pharmaceutical

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Speaker 1: companies have co opted and corrupted not only our healthcare system,

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Speaker 1: but our media as well.

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Speaker 2: So the topic I was given to talk about today,

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Speaker 2: per the book, is the problem of big Pharma, and

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Speaker 2: I would sum it up this way by saying, trust

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Speaker 2: me when I tell you that nearly every form of

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Speaker 2: information about our health has been co opted by the

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Speaker 2: pharmaceutical industry. Okay, you don't have to trust me. You're

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Speaker 2: not the trusting kind of crowd, and that's what I

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Speaker 2: like about you. So in my speech today, I'm going

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Speaker 2: to choose some excerpts and examples that will show how

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Speaker 2: medical interests have infiltrated and corrupted media, medical journals, medical school,

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Speaker 2: medical associations, medical researchers, continuing medical education classes, and more.

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Speaker 3: Can you hear me? Okay?

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Speaker 2: So I thought I would begin at the beginning. I'm

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Speaker 2: an investigative reporter, not a health reporter, and I used

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Speaker 2: to have no interest in medical stories. I didn't see

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Speaker 2: those as really part of my responsibility. But it began

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Speaker 2: for me. I call it my trip down the rabbit hole.

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Speaker 2: In the two thousand and one time period after the

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Speaker 2: nine to eleven attacks by Islamic extremist terrorists on America,

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Speaker 2: I was working at CBS News and they assigned me

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Speaker 2: to cover the restart of the smallpox vaccine program. Who

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Speaker 2: remembers when we tried to do that. They were going

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Speaker 2: to start vaccinating everybody for smallpox vaccine again, for smallpox again.

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Speaker 2: The idea was, we thought terrorists could now weaponize or

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Speaker 2: use as a biological weapon smallpox, and because of this

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Speaker 2: new threat, the vaccine that hadn't been given in a

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Speaker 2: very long time, maybe we should start giving that routinely again.

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Speaker 2: The reason it's controversial this vaccine, smallpox vaccine has a

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Speaker 2: greater incidence of adverse events than other vaccines, so it's

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Speaker 2: not something you want to just do without a lot

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Speaker 2: of thought. So they decided to start with first responders

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Speaker 2: and the military, and they would carefully monitor for any

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Speaker 2: serious adverse events among this population and then ultimately vaccinate everybody.

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Speaker 3: If all went well.

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Speaker 2: So CBS News assigned me to cover this restart. I

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Speaker 2: knew nothing of vaccines. In fact, I was probably like

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Speaker 2: a lot of Americans where I completely trusted the medical

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Speaker 2: establishment Dad's a doctor, brother's a doctor.

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Speaker 3: I know a lot of great doctors.

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Speaker 2: I couldn't imagine that anybody in that system would intentionally mislead.

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Speaker 2: I couldn't imagine that researchers would do things that were unethical.

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Speaker 2: I couldn't imagine that anybody in the governm would try

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Speaker 2: to cover up safety issues. So that was my starting point.

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Speaker 2: I covered the restart of this program, and again, as

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Speaker 2: I mentioned, first given to military and first responders. I

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Speaker 2: was embedded with the Air Force.

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Speaker 3: This was the War with the.

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Speaker 2: Rock was going on, so I'm traveling with the Air Force.

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Speaker 2: A colleague of mine named David Bloom of NBC was

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Speaker 2: embedded with the Army in a rock. Do people here

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Speaker 2: remember David Bloom of NBC. He was a White House reporter,

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Speaker 2: so you may also recall that pretty early on we

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Speaker 2: got the sad news that David had died, and not

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Speaker 2: in a battlefield injury, but he had died of a

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Speaker 2: blood clot and it was said that well, he had

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Speaker 2: genetic predispositions, and he had been cramped up in a

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Speaker 2: tank the whole day, and he'd had some pain in

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Speaker 2: his leg and so on. But I knew from the

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Speaker 2: research that I had been conducting for covering these stories

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Speaker 2: that the smallpox vaccine, according to some research, had blood

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Speaker 2: clots as a potential side effect, as many other things

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Speaker 2: deep vein thrombosis that could be fatal. So, of course, naturally,

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Speaker 2: in a program where they're thinking about restarting and they're

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Speaker 2: supposed to be measuring all adverse events that occur after

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Speaker 2: the vaccine, whether or not they think it was related,

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Speaker 2: they have to monitor all of them and report them

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Speaker 2: so they can be counted and looked at.

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Speaker 3: Nobody was reporting David.

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Speaker 2: Bloom's death as a potential vaccine side effect. So I

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Speaker 2: went to the source I had with the government, and

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Speaker 2: I said, shouldn't his death be reported? Because I was

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Speaker 2: able to confirm again through sources on the ground that

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Speaker 2: he'd had the smallpox vaccine. He'd had the anthax vaccine too,

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Speaker 2: by the way, in order to embed on the ground.

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Speaker 2: And my source said, well, he wasn't reported by the military,

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Speaker 2: which is who you would think would report to the

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Speaker 2: system that was trying to track all of this. At

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Speaker 2: the same time, there were reports of four civilian deaths

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Speaker 2: already attributed to the smallpox vaccine potentially. So I went

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Speaker 2: to another source, and I said, what are the names

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Speaker 2: of the four I wanted to know if David Bloom

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Speaker 2: was among them? Were they counting him as they were

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Speaker 2: supposed to? While the government says we can't give you

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Speaker 2: the names of the people who died. I came to

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Speaker 2: learn this as a very convenient catch twenty two. Whenever

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Speaker 2: you try to find out something from the government that

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Speaker 2: may implicate a product from the pharmaceutical industry, suddenly everything's.

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Speaker 3: A big secret.

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Speaker 2: But if it's something that they want to have released

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Speaker 2: for reasons that benefits somebody, they will tell you everything.

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Speaker 2: But in this case, I couldn't get the names of

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Speaker 2: the four civilians to find out if David Bloom had

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Speaker 2: been properly reported. So I decided to ask the question

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Speaker 2: a little differently. I didn't say, what are the names

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Speaker 2: of the four deaths? I said, is David Bloom's name

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Speaker 2: among them? And I was able to confirm that no,

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Speaker 2: he had not been reported. And it kind of blew

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Speaker 2: my mind as a reporter. I'm thinking, you know, his

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Speaker 2: name has to be reported. There shouldn't be a cover up, Like,

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Speaker 2: no one would be trying to cover this up, would they?

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Speaker 2: There are already a lot of questions surfacing about the

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Speaker 2: safety of this program pretty quick because of adverse events

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Speaker 2: that were popping up, and long story short, because I

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Speaker 2: broke the news. David Bloom's death was ultimately reported to

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Speaker 2: the system that was monitoring for adverse events and within

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Speaker 2: a pretty short period of time. For that and other reasons,

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Speaker 2: the government halted the restart of the smallpox vaccine program,

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Speaker 2: which is why we don't get smallpox vaccine shots today.

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Speaker 2: One little aside, smallpox vaccine is unique. It's my understanding

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Speaker 2: based on my reading, it's one of the few smallpox

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Speaker 2: is one of the few diseases for which they can

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Speaker 2: vaccinate after exposure and it can help. So another reason

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Speaker 2: not to have to give everybody a questionable vaccine. In advances,

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Speaker 2: if smallpox ever showed up in a city, they would

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Speaker 2: vaccinate in a ring around that positive case and could

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Speaker 2: theoretically catch an outbreak before it occurred. But that was

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Speaker 2: sort of my entrede down the rabbit hole of understanding, Yes,

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Speaker 2: people will cover things up. Why was I the only

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Speaker 2: reporter out of all the medical reporters covering this, and

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Speaker 2: I'm not a medical reporter. Why am I the only

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Speaker 2: one that asked the question about David Bloom and how

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Speaker 2: many more cases maybe weren't being reported or or perhaps

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Speaker 2: even being covered up. On this and other issues, the

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Speaker 2: next category I want to mention about ways in which

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Speaker 2: things are controlled that you might not have thought about.

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Speaker 2: You might be surprised to hear about nonprofits. Virtually all nonprofits,

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Speaker 2: I would now say, have their origins in some kind

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Speaker 2: of special interests that tend to be the opposite of

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Speaker 2: what the nonprofit says it does. And this was told

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Speaker 2: to me originally by a producer who worked for me

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Speaker 2: at CBS News years ago, and he said that very thing,

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Speaker 2: that if they say they're the citizens against cancer, it's

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Speaker 2: probably started by RJ.

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Speaker 3: Reynolds or a tobacco company.

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Speaker 2: And it turns out it's true when you start digging

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Speaker 2: a little deeper, which is not that hard to do.

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Speaker 2: But as journalists were not taught to do that, and

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Speaker 2: many journalists, including me in my earlier time, we don't

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Speaker 2: ask the basic questions. We're too trusting when a nonprofit

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Speaker 2: tells us something. Well, nonprofits are all good, right, They're

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Speaker 2: all just charities and altruistic. So let me tell you

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Speaker 2: about the American Cancer Society. Some years ago, I got

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Speaker 2: a tip that any perspersants had been linked to cancer,

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Speaker 2: to breast cancer, and this tip actually came from the

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Speaker 2: head of over the counter prescriptions from the FDA in

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Speaker 2: a conversation I was having about something unrelated, and I

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Speaker 2: was stunned because I'd never heard of such a thing.

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Speaker 2: And I had a child who was getting to be

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Speaker 2: about the age where she would start to use any

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Speaker 2: persperants and so on, and I have breast cancer in

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Speaker 2: my family, so certainly that's something I would want to know.

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Speaker 2: So as I explored it a little more deeply, he

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Speaker 2: told me that the FDA had been fighting for years

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Speaker 2: to try to potentially put the warning of any persper

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Speaker 2: and cancer link on the label for any perspirants, but

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Speaker 2: had been beaten down year after year by the power

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Speaker 2: of the anti persperant industry, which was saying that the

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Speaker 2: bar had to be met with different kinds of studies

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Speaker 2: and things that hadn't been conducted.

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Speaker 3: More about that in a moment.

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Speaker 2: But as I came to interview one of the scientists

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Speaker 2: who'd conducted a study linking the two, and as I

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Speaker 2: read other studies that existed that also made a link,

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Speaker 2: I asked for an interview with the antipersperant industry. Basically,

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Speaker 2: it's the cosmetics industry, their trade group in Washington, and

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Speaker 2: they didn't want to do an interview, but they kept saying,

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Speaker 2: interview the American Cancer Society. Go interview the American Cancer Society.

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Speaker 2: And I'm thinking, why do they think the American Cancer

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Speaker 2: Society is going to defend them? Why are they so

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Speaker 2: sure of that? And of course, in my mind, now

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Speaker 2: having covered these stories for a couple of years, I thought,

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Speaker 2: I'll bet there's a money tie. So I called the

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Speaker 2: American Cancer Society and their head of science that was

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Speaker 2: answering my questions. He begins with a non secret He

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Speaker 2: just basically says, this is all a myth, which, by

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Speaker 2: the way, the CDC website or the FDA website may

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Speaker 2: say that still today. It did when I looked a

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Speaker 2: couple of years ago, claimed that this potential link was

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Speaker 2: a myth.

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Speaker 3: It's not.

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Speaker 2: You know, you could say there's science on both sides,

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Speaker 2: but you cannot say it's a myth. So when he's

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Speaker 2: telling me it's a myth, I asked him about the

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Speaker 2: recent studies that I had, and he didn't know about

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Speaker 2: any of them. So here the American Cancer Society is

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Speaker 2: defending something any persperance as not a cause of cancer

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Speaker 2: and is saying it's a myth, but is not familiar

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Speaker 2: with the latest science. That's clue too that there was

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Speaker 2: something else at play. So I faxed him the studies,

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Speaker 2: and in the subsequent questions that I asked for my story,

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Speaker 2: all his answers were the same. Instead of addressing the study,

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Speaker 2: when I would ask a question about what about this finding,

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Speaker 2: about that finding, he would say women would do a

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Speaker 2: lot better to get their annual mammograms and stop worrying

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Speaker 2: about these other things that could be causing you know,

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Speaker 2: slight risk of cancer. They need to get their mammograms.

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Speaker 2: And I finally said to him do you guys get

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Speaker 2: money from the anti pursperant industry.

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Speaker 3: And he was yes, why And I said, well how much?

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Speaker 2: And they would not tell me how much, you know,

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Speaker 2: no dollar figure, not even a percentage. She just as

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Speaker 2: I kept asking, said, well it's a small amount. That's

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Speaker 2: a huge organization. If they get a small amount of

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Speaker 2: funding from every industry that's implicated in cancer, you can

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Speaker 2: see how the conflict of interest could stack up. So

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Speaker 2: I did do that story, and they got very angry

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Speaker 2: at the American Cancer Society because I reported neutrally what

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Speaker 2: they said and what they thought about this link between

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Speaker 2: antiperspirants and breast cancer. But I pointed out that they

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Speaker 2: accept money, and I said, they say a small amount

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Speaker 2: from the antipersperant industry, and that set them off like crazy.

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Speaker 2: We got nasty letter at CBS like how dare you

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Speaker 2: say that?

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Speaker 3: Which is just the truth.

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Speaker 2: Those supporters don't ask and then don't report that. I

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Speaker 2: think that's crucial context when you're looking at the viewpoint

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Speaker 2: somebody is presenting. I think you have a right to

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Speaker 2: know what the conflicts that exist may be just one

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Speaker 2: example of if you look at nonprophecies or full of

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Speaker 2: them when you're talking about medical advocacy, then there are

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Speaker 2: studies that are very conflicted. And boy, I spend a

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Speaker 2: lot of time talking about this in the book. I

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Speaker 2: think you would find a lot of this fascinating. But

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Speaker 2: I'll just give you one example of a study that

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Speaker 2: was done that probably should never have been done by

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Speaker 2: the according to the ethics bodies and watchdogs and people

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Speaker 2: that looked at this.

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Speaker 3: But this was a study a few years ago.

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Speaker 2: Of extremely premature, very sick infants. I call it the

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Speaker 2: Baby Oxygen Study. And it came out that only years

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Speaker 2: later did the mothers of these really frail, sick babies

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Speaker 2: find out through something I won't a reason I won't

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Speaker 2: go into to take up time, but it's in the book,

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Speaker 2: they found out their babies were in a study. And

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Speaker 2: most of them never knew it. They had not given,

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Speaker 2: in their view, informed consent, They had not been told

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Speaker 2: their babies were being put in a study. They were

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Speaker 2: being told they said, sign this paper on their way

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Speaker 2: in to get a c section.

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Speaker 3: Sign this paper.

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Speaker 2: This will help your baby, and the women would sign

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Speaker 2: the paper. Well, the babies ended up in a study

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Speaker 2: where their oxygen levels were manipulated for the purposes of

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Speaker 2: the study. They were randomly put into either a low

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Speaker 2: oxygen group or a high oxygen group. And as you

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Speaker 2: may know, most premature babies get oxygen therapy. If you

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Speaker 2: get too much oxygen, it can cause blindness. If you

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Speaker 2: get too little oxygen, it can cause brain damage. It's

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Speaker 2: a very touchy thing as to where that range should be. Well,

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Speaker 2: the problem is, this is one example of the unethical

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Speaker 2: things that were done as part of this study, and

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Speaker 2: this was not disclosed even if the women had read

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Speaker 2: the consent form had understood the the babies were in

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Speaker 2: a study, this was not put in there. The oxygen

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Speaker 2: monitors were rigged by the study scientists to give false

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Speaker 2: readings in order so that the hospital personnel would not

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Speaker 2: see the real readings and be tempted to adjust the

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Speaker 2: oxygen for the good of the baby. The babies were

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Speaker 2: to be kept in that study range. They were assigned

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Speaker 2: to at all costs. Years later, this comes out and

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Speaker 2: the ethics body that works for the government under HHS

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Speaker 2: finds a violation.

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Speaker 3: You know, this shouldn't happen. There was lack of informed consent.

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Speaker 2: This is part two of the incredible story about research

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Speaker 2: and ethics.

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Speaker 3: Instead of these people being.

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Speaker 2: Held accountable, they argued, we didn't do anything wrong, and

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Speaker 2: they spent a lot of time trying to beat down

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Speaker 2: the ethics office under HHS so that he wouldn't do

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Speaker 2: any enforcement actions, and they won. These researchers banded together

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Speaker 2: and got articles published in medical journals that said this

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Speaker 2: guy was being overreaching in his office on the ethics question,

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Speaker 2: that they didn't do anything wrong, and they argued in

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Speaker 2: a big conference held about all of this. Later sort

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Speaker 2: of what to do about this ethics issue that had arisen.

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Speaker 2: Over half the researchers argued, well, we shouldn't have to

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Speaker 2: tell people.

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Speaker 3: About all the risks of a study.

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Speaker 2: These rules are too firm, These rules are too tough,

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Speaker 2: because when we tell people all the risks of being

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Speaker 2: in a study, they don't want to take part in

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Speaker 2: this study. I'm telling you this is true. I'm sitting

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Speaker 2: there thinking, I'm like in a alice in Wonderland. And

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Speaker 2: then they said, how can we help the greater good

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Speaker 2: if we can't convince people to be in our studies

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Speaker 2: because they're worried about the risks. So I'm going to

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Speaker 2: this was years ago. I'm going to bring you to

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Speaker 2: something today that ought to really rock your world. So

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Speaker 2: all these years later, those researchers that were arguing for

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Speaker 2: loose and informed consent, they got their way about a

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Speaker 2: year and a half ago. Quietly, Congress and the federal agencies,

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Speaker 2: I'm sure being lobbied by the industries that make money

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Speaker 2: off of their studies and what they discover, they quietly

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Speaker 2: passed a new law and a rule that was finalized

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Speaker 2: by the FDA not long ago. That said researchers don't

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Speaker 2: have to give all the risks of a study to people.

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Speaker 2: If the researchers decide the risks are minimal, they don't

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Speaker 2: have to tell you about them. I think this is shocking.

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Speaker 2: This is the first upheaval in the rules for human

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Speaker 2: experimentation in this country since they were set after the

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Speaker 2: Tuskegee syphilis experiments. I mean, this is a huge sea change.

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Speaker 3: I have a couple of questions.

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Speaker 2: If the risks are minimal, then why won't you tell

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Speaker 2: people about them? If they really are minimal, that's not

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Speaker 2: going to scare them from taking part in the study,

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Speaker 2: or if it does, that's their choice. But number two,

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Speaker 2: you're relying on the honesty and judgment of the very

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Speaker 2: researchers who have proven to be wrong or corrupt in

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Speaker 2: the past to make a judgment that says the risks

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Speaker 2: are minimal. And by the way, they don't know if

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Speaker 2: they and that's why they're doing the study. So you know,

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Speaker 2: I think this is this has to be changed in

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Speaker 2: my view. I think this is something that's very problematic

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Speaker 2: and a new thing that's come out of something I've

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Speaker 2: heard being discussed for like I say, over a decade

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Speaker 2: onto some studies that are published. I've talked in the

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Speaker 2: past before. Maybe some of you have heard some of

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Speaker 2: the esteemed editors of medical journals that you're a doctor

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Speaker 2: and my doctor rely upon These medical editors themselves say much,

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Speaker 2: if not most, of the science now in these peer

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Speaker 2: reviewed published journals like the New England Journal of Medicine

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Speaker 2: is not to be believed because it's been taken over

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Speaker 2: so much by the pharmaceutical industry. Doctor Marsha Angel of Harvard,

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Speaker 2: who was edited at the New England Journal of Medicine,

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Speaker 2: told me in an interview that she fought this and

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Speaker 2: fought this as best she could to try to get

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Speaker 2: these tainted studies from being published in the New England

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Speaker 2: Journal of Medicine, and she lost the battle. After that,

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Speaker 2: Doctor Richard Horton of the British journal Lancet, he published

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Speaker 2: a very famous editorial that I think should have made

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Speaker 2: more news in the general press that said something like

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Speaker 2: science has taken a turn toward the dark side. And

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Speaker 2: he said, he's still the editor at Lancet, that much

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Speaker 2: of the science is not to be believed for the

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Speaker 2: very same reason these studies that are published in the

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Speaker 2: journals are so taken over by the pharmaceutical industry that

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Speaker 2: you're not getting the whole truth, or sometimes any truth

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Speaker 2: at all. The studies are controlled in the terms of

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Speaker 2: the studies in a way they didn't used to be

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Speaker 2: by the pharmaceutical industry. So if there are bad studies

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Speaker 2: about a medicine, you may never know because maybe twenty

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Speaker 2: years ago all the science was published good or bad.

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Speaker 2: Today that's not the case. And this changeover was happening

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Speaker 2: about two decades ago when there were researchers in California

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Speaker 2: who were working on a new vaccine for AIDS, and

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Speaker 2: they ended up stopping the trials because they knew fairly

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Speaker 2: early on it was a futility, finding that it was

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Speaker 2: not going to do any good, and they can't ethically

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Speaker 2: keep going forward with a study when the findings are

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Speaker 2: so obviously bad, because you're potentially putting study subjects at risk,

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Speaker 2: and you're wasting money and so on. So the scientists

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Speaker 2: stop the study and they get ready to publish what

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Speaker 2: they've learned, because collective science relies upon information being published,

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Speaker 2: whether it's good, positive, or negative about a medicine, so

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Speaker 2: that science can be advanced. People won't repeat the same

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Speaker 2: mistakes and so on. But what happened when these publishers

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Speaker 2: decided to publish was the vaccine maker told them they

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Speaker 2: couldn't that they weren't allowed to publish the data, that

380
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Speaker 2: the data was proprietary, they didn't want anybody else to

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Speaker 2: know about it. Well, this happens all the time now,

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Speaker 2: it's part of the contract, but it was pretty new

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Speaker 2: back then. The study scientists were incensed and they wanted

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Speaker 2: to publish, but they couldn't get complete data from the company.

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Speaker 2: It's another thing these companies do. They stovepipe the data

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Speaker 2: and the data centers, whereby if a researcher decides to

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Speaker 2: kind of go rogue and publish something the company doesn't want, well,

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Speaker 2: they won't have all the data to do so. Well,

389
00:21:13,960 --> 00:21:17,800
Speaker 2: something kind of unprecedented happened. Medical journals went ahead and

390
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Speaker 2: published what these researchers had to say without all the

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Speaker 2: data because they knew that the vaccine company was not

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Speaker 2: giving them all the data, and they thought this was

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Speaker 2: such an important stand to take that drug companies shouldn't

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Speaker 2: be able to stop science from being published. After it

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Speaker 2: was published, the vaccine maker sued the main scientist out

396
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Speaker 2: in California for seven million dollars for publishing the truth

397
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Speaker 2: about the study. If you can imagine the chilling effect

398
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Speaker 2: this has and had on scientists working for the industry.

399
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Speaker 2: They work at universities, get all this money from the industry,

400
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Speaker 2: and now your institution is looking at you. They're mad

401
00:21:55,760 --> 00:21:58,919
Speaker 2: at you. You have to hire lawyers that defend you.

402
00:21:59,000 --> 00:22:01,080
Speaker 2: Even if you were to win your case. It's a

403
00:22:01,320 --> 00:22:06,840
Speaker 2: huge problem and it's basically a career ender. Ultimately, the

404
00:22:06,920 --> 00:22:11,680
Speaker 2: scientists won the lawsuit. It was basically dropped and went away.

405
00:22:11,680 --> 00:22:14,040
Speaker 2: I don't think that would happen today. But the momentum

406
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Speaker 2: of the scientific community was so against the vaccine maker

407
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Speaker 2: for trying to take this strong arm approach that there

408
00:22:20,560 --> 00:22:23,080
Speaker 2: was no sense in the vaccine maker fighting it.

409
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Speaker 3: Today. All of this is.

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Speaker 2: Written into the contracts on the front end. So when

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Speaker 2: you think there are independent research institutions, you know like universities,

412
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Speaker 2: we all know they come out with a study, well,

413
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Speaker 2: that was funded usually by a drug maker who dictated

414
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Speaker 2: the terms of under which the study could be published

415
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Speaker 2: or may not ever be published if the findings aren't

416
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Speaker 2: don't come out right. A lot of stuff is being

417
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Speaker 2: dictated that is considered according to scientists on the insight

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Speaker 2: unethical and wrong and not leading to the truth. So

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Speaker 2: that's another example. Then I wanted to go to medical school.

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Speaker 2: So how our doctors are being skewed in medical school?

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Speaker 2: I'll bet all of us here, almost all of us

422
00:23:07,640 --> 00:23:10,359
Speaker 2: have the perspective of time. And we've known for twenty

423
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Speaker 2: years that we're suffering an epidemic of chronic diseases. And

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Speaker 2: we know that we're spending more money on health care

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00:23:17,480 --> 00:23:20,320
Speaker 2: and insurance and medicine, hospitals and doctors than we ever have,

426
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Speaker 2: And we want to know why that's the case. But

427
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Speaker 2: if you've gone to your doctor the last twenty years,

428
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Speaker 2: odds are for the most part, they act like it's invisible.

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Speaker 2: They don't even act like they notice the chronic health epidemic,

430
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Speaker 2: but for the opportunity to treat it with an expensive medicine.

431
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Speaker 2: Why are so few doctors asking the critical questions about prevention. Yes,

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Speaker 2: let's try to treat something if there's something wrong, But

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Speaker 2: wouldn't it be better to also figure out the exposures

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Speaker 2: and the causes of these chronic disorders so that people

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Speaker 2: don't have them in the first place. Well, there's not

436
00:23:52,400 --> 00:23:55,000
Speaker 2: a lot of money to be made out of preventing

437
00:23:55,080 --> 00:23:57,880
Speaker 2: illness so that treatments can't be had.

438
00:23:59,359 --> 00:24:00,880
Speaker 3: In the Mrk manual that.

439
00:24:00,920 --> 00:24:04,280
Speaker 2: Medical school students read, In fact, some of them call

440
00:24:04,320 --> 00:24:08,360
Speaker 2: it the most important reference a med school student can ever.

441
00:24:08,480 --> 00:24:10,119
Speaker 3: Have you heard me right?

442
00:24:10,160 --> 00:24:14,440
Speaker 2: It's the Merk Manual, taught medical school and written by

443
00:24:14,480 --> 00:24:19,320
Speaker 2: the vaccine pharmaceutical company Merk. This is where some doctors

444
00:24:19,359 --> 00:24:22,640
Speaker 2: start to get their ideas for how to practice medicine.

445
00:24:22,760 --> 00:24:24,919
Speaker 2: And when I heard that Merk wrote the manual, like,

446
00:24:24,960 --> 00:24:27,440
Speaker 2: I'm thinking, how well, how do the med schools allow

447
00:24:27,480 --> 00:24:30,480
Speaker 2: this conflict of interest? And what exactly does the manual

448
00:24:30,560 --> 00:24:37,480
Speaker 2: say on crucial topics. By the way, Merk's own literature says, hey,

449
00:24:38,080 --> 00:24:41,320
Speaker 2: our Mark manual is completely separate from our pharmaceutical part

450
00:24:41,320 --> 00:24:42,000
Speaker 2: of the company.

451
00:24:42,400 --> 00:24:43,480
Speaker 3: There's a firewall.

452
00:24:43,680 --> 00:24:46,240
Speaker 2: One has nothing to do with the other. I will

453
00:24:46,240 --> 00:24:48,360
Speaker 2: point out that Merk and most of the other major

454
00:24:48,359 --> 00:24:51,720
Speaker 2: pharmaceutical companies have had to pay tens of billions and

455
00:24:51,800 --> 00:24:54,840
Speaker 2: collectively hundreds of billions of dollars in settlements to the

456
00:24:54,880 --> 00:24:59,000
Speaker 2: government in recent years for lying bribery, lying about the

457
00:24:59,040 --> 00:25:01,960
Speaker 2: safety of their drugs, giving doctors kickbacks. But we are

458
00:25:02,040 --> 00:25:06,680
Speaker 2: to trust that Mark would never cross over between editorial

459
00:25:06,800 --> 00:25:10,040
Speaker 2: for the book it teaches medical students with and its

460
00:25:10,080 --> 00:25:14,320
Speaker 2: pharmaceutical arm So I looked at a couple of examples.

461
00:25:14,359 --> 00:25:17,560
Speaker 2: What does the Mark manual teach young doctors about the

462
00:25:17,600 --> 00:25:22,000
Speaker 2: controversial HPV vaccine that Mark makes? And I opened it up,

463
00:25:22,080 --> 00:25:27,080
Speaker 2: Actually I searched online. It's very short, little substance there,

464
00:25:27,280 --> 00:25:29,560
Speaker 2: but it says something that really caught my eye. It

465
00:25:29,640 --> 00:25:33,399
Speaker 2: says there were no serious adverse events reported with the

466
00:25:33,560 --> 00:25:36,960
Speaker 2: HPV vaccine. And how that fell over because I had

467
00:25:36,960 --> 00:25:39,480
Speaker 2: covered it enough and read enough to know.

468
00:25:39,400 --> 00:25:41,240
Speaker 3: That that's completely false.

469
00:25:41,640 --> 00:25:43,879
Speaker 2: In fact, if you just look at the label, the

470
00:25:44,000 --> 00:25:48,760
Speaker 2: approved label for HPV vaccine, it lists dozens and dozens

471
00:25:48,760 --> 00:25:51,640
Speaker 2: of serious adverse events, everything from paralysis to death.

472
00:25:51,720 --> 00:25:53,480
Speaker 3: But doctors are being taught.

473
00:25:53,520 --> 00:25:56,680
Speaker 2: In the Mark Manual there are no serious adverse events reported.

474
00:25:57,960 --> 00:26:00,359
Speaker 2: Since I've been talking about this and published this fact

475
00:26:00,359 --> 00:26:03,560
Speaker 2: in my book. By the way, the MRK Manual online

476
00:26:03,600 --> 00:26:07,720
Speaker 2: remove that sentence. It did not, however, replace it with

477
00:26:07,800 --> 00:26:10,080
Speaker 2: the truth. They should have put in there, here are

478
00:26:10,119 --> 00:26:12,880
Speaker 2: the adverse events, because doctors need to start to understand

479
00:26:12,880 --> 00:26:15,720
Speaker 2: a watch for these things. But it simply removed that

480
00:26:15,760 --> 00:26:19,159
Speaker 2: paragraph entirely. There's no mention of it at all. So

481
00:26:19,520 --> 00:26:23,919
Speaker 2: when your doctor goes into practice, he's been prepped and

482
00:26:24,080 --> 00:26:27,520
Speaker 2: primed by med school experience that doesn't teach them to

483
00:26:27,600 --> 00:26:30,840
Speaker 2: watch out for adverse events from medicine, vaccines and other

484
00:26:30,920 --> 00:26:34,159
Speaker 2: medicine that in some instances may be giving them false

485
00:26:34,200 --> 00:26:37,760
Speaker 2: information about the status of what can happen from that medicine.

486
00:26:38,200 --> 00:26:39,720
Speaker 2: And I would argue that this is a lot of

487
00:26:39,720 --> 00:26:42,280
Speaker 2: the reason why we're treated the way we're treated at

488
00:26:42,320 --> 00:26:45,080
Speaker 2: the doctor's office, with them too often not trying to

489
00:26:45,080 --> 00:26:47,760
Speaker 2: figure out what the cause of our disorders are, but

490
00:26:47,960 --> 00:26:57,199
Speaker 2: just happily treating it with medicine. So they catch the

491
00:26:57,240 --> 00:26:59,679
Speaker 2: doctors when they're young in med school, but they also

492
00:26:59,760 --> 00:27:04,080
Speaker 2: got them when it comes to continuing medical education classes.

493
00:27:04,280 --> 00:27:06,360
Speaker 3: Are there any doctors in here? Medical doctors?

494
00:27:07,920 --> 00:27:10,199
Speaker 2: You guys, okay, you should know, and some of you

495
00:27:10,240 --> 00:27:12,600
Speaker 2: do know, but some of you don't know this, including

496
00:27:12,640 --> 00:27:18,119
Speaker 2: my he's gonna watch this, but my brother. Okay, so

497
00:27:18,280 --> 00:27:20,800
Speaker 2: I know from experience. When you go to a continuing

498
00:27:20,840 --> 00:27:25,359
Speaker 2: medical education class, if you're taught something about a medicine

499
00:27:25,840 --> 00:27:27,919
Speaker 2: and they try to tell you that this medicine is

500
00:27:28,000 --> 00:27:31,000
Speaker 2: just the best and that there's like no real side

501
00:27:31,040 --> 00:27:33,399
Speaker 2: effects or the side effects that you heard about. Just

502
00:27:33,400 --> 00:27:36,280
Speaker 2: don't worry about those. I'm telling you those people they

503
00:27:36,280 --> 00:27:38,320
Speaker 2: work for the drug company. One hundred percent of the

504
00:27:38,359 --> 00:27:40,639
Speaker 2: time when I've looked into it, that's been true. But

505
00:27:40,720 --> 00:27:44,720
Speaker 2: it's not disclosed for whatever reason in an obvious way

506
00:27:45,240 --> 00:27:47,600
Speaker 2: that the doctor's taken the courses would see it. Now,

507
00:27:47,840 --> 00:27:50,199
Speaker 2: there may be a place they can click into to

508
00:27:50,280 --> 00:27:54,040
Speaker 2: find this information, but these people are builled typically as

509
00:27:54,080 --> 00:27:59,680
Speaker 2: some kind of academic affiliation, not with the association they

510
00:27:59,680 --> 00:28:03,600
Speaker 2: have with whoever's been paying them as advisor, consultant or researcher.

511
00:28:04,400 --> 00:28:06,439
Speaker 2: One example from that, and I will use again the

512
00:28:06,560 --> 00:28:09,600
Speaker 2: HPV vaccine because I got a call from somebody who

513
00:28:10,119 --> 00:28:13,560
Speaker 2: was at one of these seminars and says, oh, just

514
00:28:13,640 --> 00:28:16,600
Speaker 2: listen to a great speech about the gardess of the

515
00:28:16,680 --> 00:28:19,680
Speaker 2: HPV vaccine. There's no side effects, it works super well.

516
00:28:19,760 --> 00:28:24,440
Speaker 2: And again this is by any neutral exam it potentially

517
00:28:24,480 --> 00:28:28,080
Speaker 2: problematic vaccine compared to even other vaccines. So I'm thinking,

518
00:28:28,080 --> 00:28:31,199
Speaker 2: why are the doctors being taught this. I said to

519
00:28:31,240 --> 00:28:35,320
Speaker 2: this person, the person giving you that speech works for Mark,

520
00:28:35,359 --> 00:28:38,360
Speaker 2: I'm telling you works for the drug company, and he says, no, no,

521
00:28:38,400 --> 00:28:42,440
Speaker 2: he doesn't I've looked at his affiliation. I said, ask somebody,

522
00:28:42,480 --> 00:28:44,800
Speaker 2: because I would bet you a lot of money.

523
00:28:44,920 --> 00:28:47,240
Speaker 3: He called back within an hour and he's like, you're right,

524
00:28:47,920 --> 00:28:49,400
Speaker 3: he does works for Mark.

525
00:28:49,800 --> 00:28:51,960
Speaker 2: But it was not disclosed on the sheet where you

526
00:28:52,000 --> 00:28:55,120
Speaker 2: look at what these affiliations are. So again, doctors are

527
00:28:55,160 --> 00:28:59,440
Speaker 2: taught in medical school, maybe not in a way that's

528
00:28:59,520 --> 00:29:02,680
Speaker 2: even of the industry is shaping how they're going to practice,

529
00:29:02,680 --> 00:29:05,200
Speaker 2: but it's influencing. And then they're taught on the other

530
00:29:05,360 --> 00:29:08,080
Speaker 2: end in the continuing medical education classes when they try

531
00:29:08,120 --> 00:29:11,160
Speaker 2: to get at the truth. Another quick example of that,

532
00:29:11,240 --> 00:29:16,200
Speaker 2: I saw continuing medical education class offered on the safety

533
00:29:16,240 --> 00:29:20,080
Speaker 2: of COVID vaccine and children, and I had just covered

534
00:29:20,120 --> 00:29:22,880
Speaker 2: the case of poor little child named Mattie, who was

535
00:29:22,920 --> 00:29:26,320
Speaker 2: twelve years old when she entered into a study on

536
00:29:26,360 --> 00:29:27,520
Speaker 2: the COVID vaccine.

537
00:29:27,880 --> 00:29:30,080
Speaker 3: She's still not right to this day. She almost died.

538
00:29:30,640 --> 00:29:33,440
Speaker 2: She's in a wheelchair, she was paralyzed. You know, many

539
00:29:33,480 --> 00:29:36,160
Speaker 2: horrible things happened to her very quickly after her second

540
00:29:36,360 --> 00:29:40,000
Speaker 2: test shot when she was in the Pfizer trials. And

541
00:29:40,640 --> 00:29:43,200
Speaker 2: I'm kind of waiting to see I look through the

542
00:29:43,240 --> 00:29:46,200
Speaker 2: slides on this Continuing Medical Education class, Well, how are

543
00:29:46,200 --> 00:29:48,600
Speaker 2: they going to handle the case of Maddie to Gary

544
00:29:48,640 --> 00:29:50,520
Speaker 2: and the other adverse events I know of in the

545
00:29:50,600 --> 00:29:54,880
Speaker 2: children not mentioned As far as the doctors are being taught,

546
00:29:54,920 --> 00:29:58,760
Speaker 2: Maddie to Gary doesn't exist. Now, when there's a child

547
00:29:58,920 --> 00:30:02,440
Speaker 2: in a study, or anybody in a relatively small study

548
00:30:02,720 --> 00:30:06,480
Speaker 2: that gets that sick, that's a huge potential red flag

549
00:30:06,480 --> 00:30:09,160
Speaker 2: for the medicine, and the fact that that was completely

550
00:30:09,200 --> 00:30:13,880
Speaker 2: being ignored was pretty shocking to me. And then the

551
00:30:13,960 --> 00:30:18,000
Speaker 2: last example I'll talk about with conflicts that occur among

552
00:30:18,000 --> 00:30:22,480
Speaker 2: our trusted agencies or our once trusted health agencies has

553
00:30:22,520 --> 00:30:25,080
Speaker 2: to do with the FDA and a medicine called AJU

554
00:30:25,240 --> 00:30:28,800
Speaker 2: Can you mab Has anybody heard in the last maybe

555
00:30:29,600 --> 00:30:32,200
Speaker 2: three years that there's a new medicine for Alzheimer's that

556
00:30:32,240 --> 00:30:34,360
Speaker 2: may be the first cure for Alzheimer's disease?

557
00:30:34,440 --> 00:30:35,320
Speaker 3: This is so awesome.

558
00:30:36,280 --> 00:30:38,120
Speaker 2: Well, that would be awesome, and I hope it turns

559
00:30:38,160 --> 00:30:42,040
Speaker 2: out to be true. But the story behind ajucany map

560
00:30:42,160 --> 00:30:45,920
Speaker 2: is pretty shocking. This there were two studies going on

561
00:30:46,400 --> 00:30:50,479
Speaker 2: that were halted midstream, just like that AIDS vaccine trial

562
00:30:50,920 --> 00:30:54,520
Speaker 2: for futility reasons, because the researchers could tell midstream there

563
00:30:54,560 --> 00:30:57,320
Speaker 2: was going to be no benefit to the aju canyu

564
00:30:57,360 --> 00:31:01,479
Speaker 2: mab in the trials, and they couldn't keep ethically. They

565
00:31:01,480 --> 00:31:04,240
Speaker 2: couldn't go on to the studies with their conclusion because

566
00:31:04,240 --> 00:31:06,920
Speaker 2: of that. So they stop the studies and they kind

567
00:31:06,920 --> 00:31:10,320
Speaker 2: of do a nevermind. They come back some months later,

568
00:31:10,320 --> 00:31:13,480
Speaker 2: maybe is about a year later, and they tell the FDA,

569
00:31:14,400 --> 00:31:17,240
Speaker 2: you know what we were wrong about that. We looked

570
00:31:17,280 --> 00:31:20,560
Speaker 2: at the partial data in the studies we never completed,

571
00:31:21,000 --> 00:31:23,160
Speaker 2: and looked at endpoints that we had never described in

572
00:31:23,200 --> 00:31:26,480
Speaker 2: the original plan, and we do see perhaps some kind

573
00:31:26,480 --> 00:31:27,720
Speaker 2: of benefit to this drug.

574
00:31:28,520 --> 00:31:30,160
Speaker 3: Well, normally FDA.

575
00:31:30,280 --> 00:31:33,800
Speaker 2: Under normal circumstances and its advisors would just say, well,

576
00:31:34,240 --> 00:31:37,120
Speaker 2: that doesn't count. You have to finish his study number one.

577
00:31:37,280 --> 00:31:40,320
Speaker 2: You can't redefine a study midway. That's not scientific just

578
00:31:40,360 --> 00:31:41,640
Speaker 2: to find the things that you want.

579
00:31:43,240 --> 00:31:44,200
Speaker 3: But they didn't do that.

580
00:31:44,800 --> 00:31:47,880
Speaker 2: The FDA called a meeting of their outside advisors, the

581
00:31:47,920 --> 00:31:51,680
Speaker 2: Advisory Committee. By the way, the advisory committees are usually

582
00:31:51,680 --> 00:31:54,320
Speaker 2: pretty pharmaceutical friendly because a lot of them are on

583
00:31:54,400 --> 00:31:56,920
Speaker 2: those committees because they consult for companies, and that's been

584
00:31:57,000 --> 00:31:59,440
Speaker 2: a little bit of a conflict. But if anything, they're

585
00:31:59,520 --> 00:32:04,360
Speaker 2: very friends usually to drugs being approved. And these advisors,

586
00:32:04,400 --> 00:32:07,680
Speaker 2: and I interviewed one of them on camera, were shocked

587
00:32:07,720 --> 00:32:11,200
Speaker 2: to find at the meeting, not only did the drug

588
00:32:11,240 --> 00:32:15,960
Speaker 2: company present its own glowing results supposedly of its unfinished studies,

589
00:32:16,440 --> 00:32:19,920
Speaker 2: but the FDA presented a joint presentation with the drug

590
00:32:19,960 --> 00:32:23,240
Speaker 2: company an FDA official, which had never been done before

591
00:32:23,280 --> 00:32:26,080
Speaker 2: that these advisors had seen where the FDA, instead of

592
00:32:26,080 --> 00:32:30,200
Speaker 2: being sort of a neutral observer asking logical questions, was

593
00:32:30,240 --> 00:32:33,440
Speaker 2: now promoting the medicine in front of the advisory committee.

594
00:32:33,080 --> 00:32:34,400
Speaker 3: And talking about how great it is.

595
00:32:35,480 --> 00:32:38,400
Speaker 2: Well, there, I believe twelve members of the advisory committee.

596
00:32:38,840 --> 00:32:41,200
Speaker 2: None of them said the drug should be approved, not

597
00:32:41,320 --> 00:32:44,320
Speaker 2: one of them. They thought that there were safety issues.

598
00:32:44,560 --> 00:32:46,760
Speaker 2: They didn't think there was proof of benefit for various

599
00:32:46,800 --> 00:32:49,640
Speaker 2: reasons which are detailed and follow the science if you're interested.

600
00:32:50,360 --> 00:32:53,560
Speaker 2: What happens the FDA proves the drug. So this is

601
00:32:53,600 --> 00:32:56,880
Speaker 2: over the advice of all of its advisors, with two

602
00:32:56,960 --> 00:33:00,280
Speaker 2: studies having been stopped before they were completed. And by

603
00:33:00,280 --> 00:33:02,880
Speaker 2: the way, the initial cost, if you want to look

604
00:33:02,920 --> 00:33:07,000
Speaker 2: aside from safety and effectiveness, was fifty seven thousand dollars

605
00:33:07,080 --> 00:33:10,000
Speaker 2: a year for this medicine which would be theoretically paid

606
00:33:10,000 --> 00:33:15,240
Speaker 2: by med Medicare and Medicaid all of us, and one

607
00:33:15,280 --> 00:33:19,280
Speaker 2: watchdog at Public Citizen did the calculation that said, if

608
00:33:19,400 --> 00:33:22,840
Speaker 2: just the people on Medicare who would want that medicine

609
00:33:22,840 --> 00:33:26,120
Speaker 2: and qualify for it got it, it would bankrupt Medicare

610
00:33:26,280 --> 00:33:28,880
Speaker 2: like in a couple of months because it's so expensive.

611
00:33:30,320 --> 00:33:33,680
Speaker 2: Long story short, it was such a scandal this drug.

612
00:33:33,760 --> 00:33:35,880
Speaker 2: Even the people in the industry that might normally be

613
00:33:35,960 --> 00:33:39,160
Speaker 2: looking for a new drug and the neurological societies and

614
00:33:39,160 --> 00:33:41,280
Speaker 2: so on, would not prescribe it or recommend it, and

615
00:33:41,320 --> 00:33:44,120
Speaker 2: it was pulled from the market. It was replaced by

616
00:33:44,160 --> 00:33:48,040
Speaker 2: a similar drug called la canamab by the same company

617
00:33:48,160 --> 00:33:51,640
Speaker 2: under similar circumstances, with advisors not thinking there was safety

618
00:33:51,680 --> 00:33:55,239
Speaker 2: and effectiveness proven, but FDA approved it anyway, and that

619
00:33:55,320 --> 00:33:59,440
Speaker 2: medicine is now covered by Medicare. So this is just

620
00:33:59,480 --> 00:34:01,120
Speaker 2: a way of tell telling you that things are going

621
00:34:01,120 --> 00:34:03,600
Speaker 2: on inside the public health agencies that I used to

622
00:34:03,680 --> 00:34:06,920
Speaker 2: accept or believe we're only watching out for our best interests,

623
00:34:07,320 --> 00:34:09,680
Speaker 2: but have conflicts and all kinds of things going on

624
00:34:09,800 --> 00:34:15,319
Speaker 2: internally that most Americans are unaware of. Last thing, I'll

625
00:34:15,320 --> 00:34:17,960
Speaker 2: say which I hope before I take some questions, is

626
00:34:18,000 --> 00:34:20,959
Speaker 2: a little bit of a bright spot is the fact

627
00:34:21,000 --> 00:34:23,520
Speaker 2: that more people are becoming aware of this sort of thing.

628
00:34:23,880 --> 00:34:26,960
Speaker 2: I think that if you're like me, for just has

629
00:34:27,000 --> 00:34:30,440
Speaker 2: never occurred to me decades ago, my child's fully vaccinated.

630
00:34:30,560 --> 00:34:33,439
Speaker 2: I didn't think medicine should be questioned. I still think

631
00:34:33,480 --> 00:34:37,440
Speaker 2: medicine and some vaccines for some people can be incredibly

632
00:34:37,480 --> 00:34:39,959
Speaker 2: life saving. So this is not trying to get people

633
00:34:40,000 --> 00:34:42,560
Speaker 2: to say, don't take medicine, don't take vaccines, nothing like that.

634
00:34:43,239 --> 00:34:45,960
Speaker 2: But the rational logical questions that needed to be asked

635
00:34:46,600 --> 00:34:48,960
Speaker 2: and the safety questions that needed to be explored for

636
00:34:49,000 --> 00:34:51,440
Speaker 2: too long have not been because of the co opting

637
00:34:51,520 --> 00:34:55,759
Speaker 2: of media, politicians, and medical establishment and so on. But

638
00:34:55,800 --> 00:34:59,040
Speaker 2: the COVID experience, as bad as it was, and the

639
00:34:59,080 --> 00:35:03,480
Speaker 2: information manment got so ridiculous and audacious, I think something

640
00:35:03,520 --> 00:35:06,520
Speaker 2: good came of that. It made people who never saw

641
00:35:06,560 --> 00:35:10,440
Speaker 2: themselves as activists become activists for their own health in

642
00:35:10,480 --> 00:35:13,920
Speaker 2: a way, because they started asking the logical questions, if

643
00:35:13,960 --> 00:35:16,799
Speaker 2: the government's not telling me the truth about this, what

644
00:35:16,920 --> 00:35:25,239
Speaker 2: else haven't they told me the truth about so? And

645
00:35:25,280 --> 00:35:27,680
Speaker 2: I urge everybody, and I believe this room is full

646
00:35:27,680 --> 00:35:31,160
Speaker 2: of people already doing this. To get your own information,

647
00:35:31,440 --> 00:35:33,959
Speaker 2: develop your own sources. I have ideas in the last

648
00:35:34,000 --> 00:35:36,680
Speaker 2: chapter of the book for how you can start on that.

649
00:35:37,400 --> 00:35:40,240
Speaker 2: But there are some wonderful independent doctors that broke away

650
00:35:40,280 --> 00:35:44,400
Speaker 2: from the mainstream, that were world renowned published doctors that

651
00:35:44,440 --> 00:35:47,279
Speaker 2: when they couldn't treat their own patients the way they

652
00:35:47,320 --> 00:35:50,879
Speaker 2: thought was best for them during COVID, they've broken away

653
00:35:50,920 --> 00:35:54,319
Speaker 2: and started new organizations and protocols that are even doing

654
00:35:54,320 --> 00:35:57,600
Speaker 2: independent studies. No one else will do that attack the

655
00:35:57,680 --> 00:35:59,759
Speaker 2: root cause of a lot of problems that we're having

656
00:35:59,760 --> 00:36:02,399
Speaker 2: that nobody's bothered to find out about. So I think

657
00:36:02,440 --> 00:36:04,560
Speaker 2: these are good things for us to look forward to

658
00:36:05,280 --> 00:36:07,920
Speaker 2: on the horizon and something positive to end with. And

659
00:36:07,920 --> 00:36:19,120
Speaker 2: if you have any questions, I'm happy to take them.

660
00:36:19,160 --> 00:36:21,840
Speaker 3: Thank you, Miss Adkison. We now have time for Q

661
00:36:22,000 --> 00:36:22,480
Speaker 3: and A.

662
00:36:22,760 --> 00:36:25,400
Speaker 4: If you have a question, please raise your hand and

663
00:36:25,440 --> 00:36:27,239
Speaker 4: wait for the microphone to be brought to you.

664
00:36:39,239 --> 00:36:49,719
Speaker 5: Yeah, I have a quick question for you. Do you

665
00:36:49,800 --> 00:36:54,880
Speaker 5: have any allies? What about the customers of pharma like

666
00:36:55,640 --> 00:37:01,840
Speaker 5: Charles Hopkins and Mayo Clinic and MD Anderson and the

667
00:37:01,880 --> 00:37:07,040
Speaker 5: big hospitals in our country, and also any other rapport

668
00:37:07,280 --> 00:37:14,680
Speaker 5: investigative reporters like you five one hundred publishing on the

669
00:37:14,719 --> 00:37:15,480
Speaker 5: same problem.

670
00:37:16,640 --> 00:37:20,239
Speaker 2: I'm sure there are some other reporters, not a lot

671
00:37:20,280 --> 00:37:24,640
Speaker 2: because they're not because they can't do it, but their institutions,

672
00:37:24,680 --> 00:37:27,200
Speaker 2: the networks will not publish this sort of thing. My

673
00:37:27,280 --> 00:37:30,080
Speaker 2: TV program is independent, so I publish it on fall measure.

674
00:37:31,400 --> 00:37:34,200
Speaker 2: There's some good substack writers. This is in my book too,

675
00:37:34,239 --> 00:37:38,919
Speaker 2: but Paul Thacker, the Disinformation Chronicle on Substack is fantastic,

676
00:37:38,920 --> 00:37:40,320
Speaker 2: writes about some of these things.

677
00:37:41,400 --> 00:37:42,480
Speaker 3: The first thing you said.

678
00:37:42,280 --> 00:37:46,640
Speaker 2: Though, oh about first part of your question, Oh, the

679
00:37:46,640 --> 00:37:50,839
Speaker 2: big hospitals. So it's it's when I talk about all

680
00:37:50,880 --> 00:37:55,960
Speaker 2: the information being perverted and corrupted, that includes what Mayo

681
00:37:56,040 --> 00:37:58,600
Speaker 2: Clinic publishes, will be in line with a lot of

682
00:37:58,640 --> 00:38:02,520
Speaker 2: false information I've seen on FDA and CDC website, what

683
00:38:02,640 --> 00:38:05,319
Speaker 2: web MD publishes. I'm not saying all of it's bad.

684
00:38:05,360 --> 00:38:08,719
Speaker 2: There's some helpful, decent general information, but when it comes

685
00:38:08,760 --> 00:38:13,080
Speaker 2: to medical controversies, a lot of completely false and disproven

686
00:38:13,160 --> 00:38:15,840
Speaker 2: information is being put out there on these sites.

687
00:38:15,920 --> 00:38:17,000
Speaker 3: Also at the hospital.

688
00:38:17,320 --> 00:38:20,200
Speaker 2: Children's Hospital of Philadelphia is a huge offender when it

689
00:38:20,200 --> 00:38:24,440
Speaker 2: comes to vaccine misinformation. They do not say on their

690
00:38:24,480 --> 00:38:28,080
Speaker 2: page that a lot of people refer to that they're

691
00:38:28,120 --> 00:38:30,319
Speaker 2: heavily funded by Mark and probably a lot of other

692
00:38:30,560 --> 00:38:36,600
Speaker 2: pharmaceutical industry industries as well. But one of their key doctors,

693
00:38:36,600 --> 00:38:39,520
Speaker 2: doctor Paul Offitt, was held out for decades as the

694
00:38:39,600 --> 00:38:43,000
Speaker 2: expert on vaccine safety, and I believe until I came

695
00:38:43,040 --> 00:38:46,000
Speaker 2: along in the early two thousands and asked the questions,

696
00:38:46,440 --> 00:38:49,200
Speaker 2: nobody reported that he sits in a chair called the

697
00:38:49,280 --> 00:38:53,600
Speaker 2: Hiliman Chair funded by Mark, and that he coinvented a

698
00:38:53,719 --> 00:38:56,839
Speaker 2: vaccine for Mark. And yet the press is putting him

699
00:38:56,840 --> 00:38:59,920
Speaker 2: on television defending the very same vaccine without disclosing he

700
00:39:00,000 --> 00:39:03,160
Speaker 2: he's the co inventor. So these are the kinds of

701
00:39:03,160 --> 00:39:05,360
Speaker 2: things that in the media on a daily basis that

702
00:39:05,480 --> 00:39:08,040
Speaker 2: happened that nobody was calling out or getting to the

703
00:39:08,040 --> 00:39:10,200
Speaker 2: bottom of that. I think I think that stuff is

704
00:39:10,239 --> 00:39:14,280
Speaker 2: still happening today.

705
00:39:14,440 --> 00:39:17,080
Speaker 6: Yes, I just wanted to say, I have your book

706
00:39:17,120 --> 00:39:20,680
Speaker 6: and I'm I enjoyed recommend it to everyone. And also,

707
00:39:21,200 --> 00:39:24,680
Speaker 6: with Robert F. Kennedy Junior being our new Secretary of

708
00:39:24,760 --> 00:39:27,400
Speaker 6: Health and Human Services, what are your thoughts and what

709
00:39:27,440 --> 00:39:30,279
Speaker 6: do you have hopes that he might do as far

710
00:39:30,320 --> 00:39:31,560
Speaker 6: as future changes.

711
00:39:33,200 --> 00:39:36,160
Speaker 2: First interviewed Robert F. Kennedy Junior maybe twenty years ago

712
00:39:36,280 --> 00:39:38,759
Speaker 2: when I was starting to cover all of these issues,

713
00:39:39,520 --> 00:39:43,520
Speaker 2: and he, I think it's safe to say, is the

714
00:39:43,719 --> 00:39:46,520
Speaker 2: political figure who is the most well informed on these

715
00:39:46,520 --> 00:39:50,200
Speaker 2: issues we're discussing, also our adulterated food. I don't know

716
00:39:50,239 --> 00:39:52,840
Speaker 2: if people know. He's a lawyer who is litigated in

717
00:39:52,920 --> 00:39:56,920
Speaker 2: court and one case is against the vaccine industry and others.

718
00:39:57,320 --> 00:40:01,680
Speaker 2: He totally understands the corruption of information and the corruption

719
00:40:01,840 --> 00:40:05,920
Speaker 2: sometimes of officials, and he told me in an interview or.

720
00:40:05,920 --> 00:40:06,839
Speaker 3: A podcast I did.

721
00:40:06,840 --> 00:40:10,040
Speaker 2: I reposted the podcast recently on I believe it's the

722
00:40:10,080 --> 00:40:13,280
Speaker 2: Cheryl Acxon podcast. I have too, But he said things

723
00:40:13,320 --> 00:40:15,279
Speaker 2: like this is going to just make their head spin off.

724
00:40:15,560 --> 00:40:18,200
Speaker 2: He said things like, if I'm elected he was running

725
00:40:18,200 --> 00:40:20,719
Speaker 2: for president at the time, I know exactly who to

726
00:40:20,800 --> 00:40:23,480
Speaker 2: fire when I walk down the halls of the CDC,

727
00:40:24,560 --> 00:40:26,440
Speaker 2: he said, I know the names of the people, and

728
00:40:26,520 --> 00:40:30,680
Speaker 2: he does. So this is a huge change I hope

729
00:40:30,680 --> 00:40:33,640
Speaker 2: coming when it comes to the corrupt and you know,

730
00:40:33,680 --> 00:40:36,040
Speaker 2: the corrupt officials that have been there for decades and

731
00:40:36,080 --> 00:40:38,759
Speaker 2: the misinformation that's put out on a daily basis by

732
00:40:38,880 --> 00:40:41,719
Speaker 2: the federal government. He knows better than anyone, but that's

733
00:40:41,760 --> 00:40:44,920
Speaker 2: of course why you will see I think the worst

734
00:40:45,000 --> 00:40:49,600
Speaker 2: kind of pushback. It's been really entertaining to see him

735
00:40:49,640 --> 00:40:52,560
Speaker 2: interviewed by reporters who clearly don't know the issue, but

736
00:40:52,600 --> 00:40:55,840
Speaker 2: they're too ignorant to understand they don't know it, and

737
00:40:55,880 --> 00:40:59,720
Speaker 2: they're debating with someone meeting him who knows this probably

738
00:40:59,760 --> 00:41:03,320
Speaker 2: better than almost anybody, and telling him he's wrong about

739
00:41:03,360 --> 00:41:06,160
Speaker 2: things they're wrong about. I even know that from my research,

740
00:41:06,200 --> 00:41:08,600
Speaker 2: and it's this whole must be a strange world for

741
00:41:08,680 --> 00:41:11,640
Speaker 2: him to be interviewed in a part of but I

742
00:41:11,680 --> 00:41:14,799
Speaker 2: do hope he does know more than other people who've

743
00:41:14,800 --> 00:41:16,600
Speaker 2: held that position about how to get to the bottom

744
00:41:16,640 --> 00:41:18,720
Speaker 2: of some of the things we've talked about, so hopefully

745
00:41:18,760 --> 00:41:19,800
Speaker 2: there'll be some changes.

746
00:41:22,239 --> 00:41:26,360
Speaker 7: Thank you for your presentation. I'm doctor Dilomo, a retired

747
00:41:26,480 --> 00:41:31,759
Speaker 7: surgeon and investigator, and while there may be conflicts of

748
00:41:31,800 --> 00:41:35,880
Speaker 7: interest and unethical behavior, I think it's important for the

749
00:41:35,920 --> 00:41:39,799
Speaker 7: audience to know the safeguards that are built in the

750
00:41:39,840 --> 00:41:44,520
Speaker 7: clinical trials, and there are three that are critically important.

751
00:41:45,080 --> 00:41:49,400
Speaker 7: The first is the institutional review board at a hospital

752
00:41:49,440 --> 00:41:54,279
Speaker 7: that's going to conduct a trial. That board is composed

753
00:41:54,520 --> 00:42:00,640
Speaker 7: of regular people and one physician, and that does a

754
00:42:00,800 --> 00:42:06,360
Speaker 7: thorough searching of all potential complications of the involved trial

755
00:42:06,440 --> 00:42:10,440
Speaker 7: before the hospital says okay, we can do it. The

756
00:42:10,520 --> 00:42:15,560
Speaker 7: second is the Clinical Events Committee that reviews every event

757
00:42:19,120 --> 00:42:23,920
Speaker 7: poor event that occurs in the trial. Those complications are

758
00:42:24,040 --> 00:42:27,000
Speaker 7: then delivered to the third board, with which is the

759
00:42:27,120 --> 00:42:32,520
Speaker 7: Data Safety and Monitoring Board. That board has the ability

760
00:42:32,560 --> 00:42:36,560
Speaker 7: to say, we have too many complications in this trial,

761
00:42:37,080 --> 00:42:40,799
Speaker 7: we have to stop it. Or that board can also say, hey,

762
00:42:40,840 --> 00:42:43,800
Speaker 7: you know what, this trial is going better never, let's

763
00:42:43,840 --> 00:42:45,760
Speaker 7: not run the rest of it. Let's just go ahead

764
00:42:45,800 --> 00:42:49,440
Speaker 7: with the product. So I want everyone in this room

765
00:42:49,480 --> 00:42:54,560
Speaker 7: to understand that there is a great level of safety

766
00:42:54,600 --> 00:43:00,800
Speaker 7: build into these trials. But you can't legislate on FID behavior.

767
00:43:01,040 --> 00:43:02,120
Speaker 8: That's all I have to say.

768
00:43:02,520 --> 00:43:06,880
Speaker 2: A good point, thank you. Also to his point, I

769
00:43:06,920 --> 00:43:10,440
Speaker 2: think it used to be. I'll just say some of

770
00:43:10,480 --> 00:43:14,359
Speaker 2: the violations recorded in my book, the institutional review boards

771
00:43:14,360 --> 00:43:16,560
Speaker 2: should have caught and didn't, or should have flagged and

772
00:43:16,560 --> 00:43:20,680
Speaker 2: didn't or got thumped for. But yes, in theory, there

773
00:43:20,719 --> 00:43:22,799
Speaker 2: have been a great deal of practice is set up

774
00:43:22,800 --> 00:43:24,960
Speaker 2: to try to make sure there's proper oversight, so that

775
00:43:25,560 --> 00:43:29,000
Speaker 2: when you're talking about human experimentation in particular, that's you know,

776
00:43:29,280 --> 00:43:32,799
Speaker 2: rules are followed. Unfortunately, I think they're just more and

777
00:43:32,840 --> 00:43:35,200
Speaker 2: more falling down a little bit of figuring ways around that.

778
00:43:37,400 --> 00:43:41,640
Speaker 4: Hi, my grandson was born three and a half years

779
00:43:41,680 --> 00:43:46,520
Speaker 4: ago and he got the COVID nineteen vaccinations. My daughter

780
00:43:46,600 --> 00:43:52,480
Speaker 4: got the COVID vaccinet vaccinations and he has been diagnosed

781
00:43:52,520 --> 00:43:56,120
Speaker 4: as autistic. So I can't you know, I'm not of

782
00:43:56,320 --> 00:43:59,200
Speaker 4: a no vaxer or anything, but I can't help but

783
00:43:59,239 --> 00:44:02,160
Speaker 4: think there's some connection there. I wonder if there's going

784
00:44:02,239 --> 00:44:04,960
Speaker 4: to be a thorough investigation into the side effects of

785
00:44:05,080 --> 00:44:06,640
Speaker 4: COVID nineteen vaccines.

786
00:44:06,920 --> 00:44:10,200
Speaker 3: Well, I'm sorry to hear about that. You're sad news.

787
00:44:11,239 --> 00:44:11,880
Speaker 3: So I learned.

788
00:44:11,880 --> 00:44:13,920
Speaker 2: I won't go into too much stepth although there is

789
00:44:13,920 --> 00:44:16,759
Speaker 2: more in the book about this. Autism is the name

790
00:44:16,840 --> 00:44:21,120
Speaker 2: we give a broad number of symptoms that have to

791
00:44:21,120 --> 00:44:24,120
Speaker 2: do with neurological and brain damage, and as the scientists

792
00:44:24,120 --> 00:44:25,799
Speaker 2: have explained to me over the years, it's sort of

793
00:44:25,800 --> 00:44:28,399
Speaker 2: an arbitrary thing. We've grouped together a bunch of things

794
00:44:28,400 --> 00:44:32,160
Speaker 2: we don't understand and we call it autism. Studies point

795
00:44:32,200 --> 00:44:35,640
Speaker 2: to multifaceted causes. It's true when you hear people say, oh,

796
00:44:35,840 --> 00:44:39,560
Speaker 2: all there is a genetic component according to scientists, But

797
00:44:39,640 --> 00:44:43,960
Speaker 2: what's left out of that is frequently people with vulnerabilities

798
00:44:44,000 --> 00:44:46,760
Speaker 2: are more likely to react to side effects from vaccines

799
00:44:46,760 --> 00:44:49,080
Speaker 2: and other medicines. So if you have a predisposition for

800
00:44:49,160 --> 00:44:51,560
Speaker 2: blood clots and then you take a medicine that can

801
00:44:51,600 --> 00:44:54,000
Speaker 2: cause blood clots, that might be harder for you.

802
00:44:54,560 --> 00:44:55,000
Speaker 3: Same with.

803
00:44:56,640 --> 00:44:59,600
Speaker 2: Children who might get brain damage after their vaccinations for

804
00:44:59,680 --> 00:45:03,000
Speaker 2: many different reasons, whether it's an immune response, whether it's

805
00:45:03,000 --> 00:45:06,600
Speaker 2: some kind of genetic predisposition. It's been documented in court

806
00:45:06,640 --> 00:45:10,279
Speaker 2: cases that kids with something called tubrius glerosis, which has

807
00:45:10,320 --> 00:45:12,520
Speaker 2: been described to me as sort of folds in the brain,

808
00:45:13,160 --> 00:45:16,759
Speaker 2: they get autism after vaccination. At times they've been compensated

809
00:45:16,760 --> 00:45:21,280
Speaker 2: in vaccine court for that association. Kids with mitochondrial disorder,

810
00:45:21,400 --> 00:45:23,239
Speaker 2: these are things you might even know your kid, not

811
00:45:23,360 --> 00:45:26,360
Speaker 2: know your kid has, although it could we could develop

812
00:45:26,400 --> 00:45:28,799
Speaker 2: tests for this so that before they're vaccinated, we could

813
00:45:28,880 --> 00:45:32,960
Speaker 2: understand if they have special vulnerabilities. Are there safer vaccines,

814
00:45:33,000 --> 00:45:33,880
Speaker 2: Is there a safer.

815
00:45:33,640 --> 00:45:34,960
Speaker 3: Way to give them the vaccines?

816
00:45:34,960 --> 00:45:39,560
Speaker 2: But kids with mitochondrial disorder, have been awarded money in

817
00:45:39,680 --> 00:45:42,960
Speaker 2: vaccine court after they've gotten autism from their vaccines, and

818
00:45:43,000 --> 00:45:46,520
Speaker 2: it's certainly possible we won't know the extent of the

819
00:45:46,560 --> 00:45:49,600
Speaker 2: side effects caused by COVID vaccines just by definition for

820
00:45:49,640 --> 00:45:52,680
Speaker 2: many years. Some adverse events aren't known until the general

821
00:45:52,719 --> 00:45:55,600
Speaker 2: population has been taking them for years and years. So

822
00:45:56,120 --> 00:45:58,800
Speaker 2: I do think now we have more hope that someone's

823
00:45:58,840 --> 00:46:01,840
Speaker 2: going to study those, not put a robust system in place,

824
00:46:01,920 --> 00:46:05,080
Speaker 2: despite what you may have heard, to gather adverse events

825
00:46:05,120 --> 00:46:08,520
Speaker 2: after these vaccines when they were experimental to begin with.

826
00:46:09,680 --> 00:46:11,960
Speaker 2: If you go to the doctor now or the hospital

827
00:46:11,960 --> 00:46:14,279
Speaker 2: and you're sick, in my opinion, the first thing they

828
00:46:14,320 --> 00:46:17,040
Speaker 2: should ask you, if they were really serious about collecting

829
00:46:17,120 --> 00:46:19,800
Speaker 2: data on all of this, is have you had COVID?

830
00:46:20,080 --> 00:46:22,440
Speaker 2: Have you had the COVID vaccines? Which ones and when?

831
00:46:23,040 --> 00:46:26,160
Speaker 2: Only if they start reporting every illness that has happened

832
00:46:26,200 --> 00:46:29,200
Speaker 2: after these things, and that's a big job, but entirely

833
00:46:29,239 --> 00:46:32,960
Speaker 2: possible with today's data management. Only if all these things

834
00:46:33,000 --> 00:46:34,960
Speaker 2: get reported are we going to start to really understand

835
00:46:35,040 --> 00:46:37,600
Speaker 2: the extent to which the vaccines may be causing things

836
00:46:38,200 --> 00:46:41,319
Speaker 2: separate from what COVID causes. And I've reported on this

837
00:46:41,400 --> 00:46:44,840
Speaker 2: sum on my show Full Measure. These are two separate tracks,

838
00:46:45,160 --> 00:46:49,040
Speaker 2: long COVID illnesses that can happen long after you have

839
00:46:49,080 --> 00:46:52,920
Speaker 2: COVID supposedly cleared from your system, and also long vacs

840
00:46:53,000 --> 00:46:56,160
Speaker 2: or whatever they're calling it, illnesses that come maybe years

841
00:46:56,160 --> 00:46:58,560
Speaker 2: after you were vaccinated that could still be affiliated with

842
00:46:58,560 --> 00:47:02,239
Speaker 2: a vaccine. These are really important questions I don't think

843
00:47:02,239 --> 00:47:04,839
Speaker 2: the government has really wanted to have answered before now.

844
00:47:08,920 --> 00:47:12,319
Speaker 9: Thank you, Cheryl for your courage. I'm a retired nurse

845
00:47:12,360 --> 00:47:17,240
Speaker 9: practitioner and during the COVID pandemic was asked several times

846
00:47:17,280 --> 00:47:21,880
Speaker 9: to fill out paperwork for the veryr's system, the Vaccine

847
00:47:21,920 --> 00:47:24,200
Speaker 9: Adverse Events Reporting System.

848
00:47:24,239 --> 00:47:26,319
Speaker 3: Can you speak to that system for us?

849
00:47:26,960 --> 00:47:29,600
Speaker 2: So the last part of my book encourages everybody to

850
00:47:29,640 --> 00:47:32,840
Speaker 2: get familiar with the vaccine Adverse Event Reporting System and

851
00:47:33,000 --> 00:47:37,080
Speaker 2: the drug Adverse Event Reporting system. One's called Veayor's the

852
00:47:37,200 --> 00:47:43,400
Speaker 2: aer S, one's called Fayre's fa ERS. And there's a

853
00:47:43,440 --> 00:47:46,319
Speaker 2: great misunderstanding of the medical field. Doctors will tell you

854
00:47:46,360 --> 00:47:49,200
Speaker 2: and have told me, oh, I didn't report this side

855
00:47:49,239 --> 00:47:52,040
Speaker 2: effect this patient had after COVID vaccine because I don't

856
00:47:52,080 --> 00:47:55,520
Speaker 2: think it was connected. That's not their job. They're not

857
00:47:55,560 --> 00:47:58,560
Speaker 2: supposed to draw a conclusion. All the adverse events are

858
00:47:58,560 --> 00:48:01,160
Speaker 2: supposed to go into the database so that experts can

859
00:48:01,200 --> 00:48:04,080
Speaker 2: look for previously unknown patterns. How are you going to

860
00:48:04,080 --> 00:48:07,080
Speaker 2: find a new side effect? If a doctor only reports

861
00:48:07,120 --> 00:48:09,440
Speaker 2: the stuff he thinks might be caused by the medicine,

862
00:48:09,440 --> 00:48:12,040
Speaker 2: you're not going to unearth new side effects. The system

863
00:48:12,040 --> 00:48:15,520
Speaker 2: has not been well used to this date. It's doctors

864
00:48:15,520 --> 00:48:18,759
Speaker 2: have been discouraged from using it, Nurses have been discouraged

865
00:48:18,760 --> 00:48:21,760
Speaker 2: from filling out forms. Hospitals have told them to stop.

866
00:48:21,840 --> 00:48:25,239
Speaker 2: During the COVID vaccine era when so many forms they're

867
00:48:25,239 --> 00:48:27,400
Speaker 2: trying to fill out so many forms from adverse events,

868
00:48:27,400 --> 00:48:29,480
Speaker 2: they were told by their hospitals, and some cases cut

869
00:48:29,520 --> 00:48:29,839
Speaker 2: it out.

870
00:48:30,560 --> 00:48:31,319
Speaker 3: And I think it's a.

871
00:48:31,320 --> 00:48:34,719
Speaker 2: Very important database if only enough data goes in there,

872
00:48:34,719 --> 00:48:38,200
Speaker 2: and too much data there's misunderstanding. I think on purpose

873
00:48:38,239 --> 00:48:42,359
Speaker 2: of who's supposed to report, you can report yourself, and

874
00:48:42,400 --> 00:48:45,080
Speaker 2: that's what's how to do that in the book. And

875
00:48:45,160 --> 00:48:47,080
Speaker 2: don't worry if it's a double report, because if your

876
00:48:47,120 --> 00:48:50,080
Speaker 2: doctor does happen to report it and you report it too,

877
00:48:50,120 --> 00:48:52,240
Speaker 2: there's a way they will get out those double cases

878
00:48:52,239 --> 00:48:54,560
Speaker 2: if they look at the case and think it's something significant.

879
00:48:54,600 --> 00:48:56,720
Speaker 2: They cross reference STEF. They're not going to count it twice,

880
00:48:57,080 --> 00:48:59,319
Speaker 2: but it's a very important way. This is how I

881
00:48:59,320 --> 00:49:03,560
Speaker 2: broke the internet national news that viagra can cause blindness.

882
00:49:04,680 --> 00:49:07,640
Speaker 2: I looked at the adverse event database reports in conjunction

883
00:49:07,760 --> 00:49:10,880
Speaker 2: with some studies. Maybe people know that now, but at

884
00:49:10,880 --> 00:49:13,080
Speaker 2: the time, blindness was not on the label. This was

885
00:49:13,120 --> 00:49:15,440
Speaker 2: a new thing, and I think it was obvious when

886
00:49:15,440 --> 00:49:18,359
Speaker 2: I looked at the adverse Event report database. Not every

887
00:49:18,400 --> 00:49:20,560
Speaker 2: adverse event will be connected to a drug. But when

888
00:49:20,560 --> 00:49:23,160
Speaker 2: you can see this huge spike, like so many people

889
00:49:23,440 --> 00:49:28,080
Speaker 2: reporting something previously unknown and their studies to support it, well,

890
00:49:28,080 --> 00:49:30,080
Speaker 2: I broke that news because the FDA was on the

891
00:49:30,160 --> 00:49:34,319
Speaker 2: verge of adding mandatory warnings and they have since then

892
00:49:34,360 --> 00:49:37,319
Speaker 2: to the Viagara label about blindness as a result of that.

893
00:49:37,480 --> 00:49:40,600
Speaker 2: So the database can be very important, but I think

894
00:49:40,640 --> 00:49:42,720
Speaker 2: it's not well used and certainly not been well used

895
00:49:43,360 --> 00:49:44,560
Speaker 2: for the COVID vaccine.

896
00:49:46,920 --> 00:49:50,800
Speaker 10: Thank you for your courageous reporting this book. My question

897
00:49:51,080 --> 00:49:55,200
Speaker 10: is on the campaign trail. I believe President Trump indicated

898
00:49:55,719 --> 00:49:59,640
Speaker 10: that he planned to put a limit or ban prescription

899
00:50:00,080 --> 00:50:02,919
Speaker 10: purnisements in the media. Is there anything to then.

900
00:50:04,080 --> 00:50:06,480
Speaker 2: I never heard Trump say that, but Robert F. Kennedy

901
00:50:06,560 --> 00:50:09,240
Speaker 2: Junior said that maybe Trump did. I didn't hear him.

902
00:50:10,719 --> 00:50:13,320
Speaker 2: That was a position when Kennedy was running for president

903
00:50:13,400 --> 00:50:16,239
Speaker 2: that he said should happen. He said quite explicitly on

904
00:50:16,280 --> 00:50:20,239
Speaker 2: my podcast. I don't know how that will work or

905
00:50:20,680 --> 00:50:24,160
Speaker 2: if it can work, because the industry is so powerful.

906
00:50:24,560 --> 00:50:25,560
Speaker 3: But Kennedy is right.

907
00:50:25,680 --> 00:50:28,400
Speaker 2: This is the way, in my view, the pharmaceutical industry

908
00:50:28,400 --> 00:50:31,600
Speaker 2: has captured the media. The news media in the early

909
00:50:31,640 --> 00:50:34,520
Speaker 2: two thousand was reporting in a fair and pretty unbiased

910
00:50:34,560 --> 00:50:37,760
Speaker 2: way on all these topics we've discussed today. They stopped

911
00:50:37,760 --> 00:50:40,360
Speaker 2: around the two thousand and five time period, when the

912
00:50:40,400 --> 00:50:43,920
Speaker 2: partnerships between the media and the pharmaceutical industry for the

913
00:50:43,960 --> 00:50:47,040
Speaker 2: direct to consumer ads that you see on TV got

914
00:50:47,040 --> 00:50:50,160
Speaker 2: to be worth so much money. I started feeling the

915
00:50:50,239 --> 00:50:51,960
Speaker 2: chilling effect at CBS News.

916
00:50:52,520 --> 00:50:52,719
Speaker 3: Now.

917
00:50:52,760 --> 00:50:55,920
Speaker 2: I would argue reporters simply self censor because they understand

918
00:50:55,920 --> 00:51:00,200
Speaker 2: those stories will never make it on television. And I

919
00:51:00,239 --> 00:51:03,600
Speaker 2: think has been really harmful, because, yes, the companies are

920
00:51:03,600 --> 00:51:06,480
Speaker 2: supposed to advance their bottom line. I don't blame the

921
00:51:06,520 --> 00:51:09,920
Speaker 2: pharmaceutical companies for trying to have a fiduciary duty to

922
00:51:09,960 --> 00:51:13,600
Speaker 2: talk good about their medicine and maybe downplay things that

923
00:51:13,640 --> 00:51:18,440
Speaker 2: are bad. And political figures can be theoretically bought out

924
00:51:18,480 --> 00:51:22,040
Speaker 2: by contributions from the pharmaceutical industry. But the media used

925
00:51:22,040 --> 00:51:24,200
Speaker 2: to be sort of the great equalizer where we would

926
00:51:24,200 --> 00:51:27,680
Speaker 2: report on these things, so it wasn't something that went

927
00:51:27,760 --> 00:51:31,800
Speaker 2: completely unchecked. Once the pharmaceutical industry, in my view, became

928
00:51:31,880 --> 00:51:37,160
Speaker 2: so pervasively influential in the media, suddenly there was no

929
00:51:37,320 --> 00:51:40,960
Speaker 2: watchdog that was doing that look at the politicians and

930
00:51:41,000 --> 00:51:43,680
Speaker 2: look at the industries, and looking at our federal agencies

931
00:51:43,960 --> 00:51:47,279
Speaker 2: when it comes to these conflicts of interest. So removing

932
00:51:47,360 --> 00:51:51,680
Speaker 2: the advertising, I think would result in more honest reporting

933
00:51:52,480 --> 00:51:53,000
Speaker 2: for sure.

934
00:51:54,320 --> 00:51:55,400
Speaker 3: I don't know if that'll happen.

935
00:51:56,840 --> 00:51:58,960
Speaker 2: There's a gentleman, Can I take this question right up front?

936
00:51:58,960 --> 00:52:03,040
Speaker 2: Because he looks at me every time, he's so close

937
00:52:03,080 --> 00:52:03,319
Speaker 2: to me.

938
00:52:06,120 --> 00:52:08,839
Speaker 3: Thank you, thank you so much.

939
00:52:09,320 --> 00:52:13,120
Speaker 8: First, I have to compliment the clarity and the persuasiveness

940
00:52:13,160 --> 00:52:16,760
Speaker 8: and the simplicity and the force with which you share

941
00:52:16,920 --> 00:52:29,120
Speaker 8: your information. This relates to your keywords information management. And

942
00:52:29,239 --> 00:52:32,879
Speaker 8: forgive me if I'm cross wiring my memory, But would

943
00:52:32,880 --> 00:52:37,280
Speaker 8: it be would it be worth bringing up the government's uh,

944
00:52:38,000 --> 00:52:42,160
Speaker 8: surreptitious seizure of your computers when you annoyed them too much.

945
00:52:42,360 --> 00:52:46,360
Speaker 8: And do you perhaps have hope with the regime change

946
00:52:46,360 --> 00:52:50,040
Speaker 8: in Washington that more information about who who made that

947
00:52:50,160 --> 00:52:52,040
Speaker 8: happen might actually come out in public.

948
00:52:52,680 --> 00:52:55,160
Speaker 2: Well, my first book, Stonewall, really went into this if

949
00:52:55,160 --> 00:52:57,200
Speaker 2: anyone should be so interested, so.

950
00:52:57,160 --> 00:52:58,319
Speaker 3: I won't spend a lot of time.

951
00:52:58,360 --> 00:53:01,759
Speaker 2: But yes, before we knew the government was spying on

952
00:53:01,800 --> 00:53:05,440
Speaker 2: a lot of journalists, members of Congress, American citizens, I

953
00:53:05,480 --> 00:53:08,880
Speaker 2: got tipped off as a correspondent CBS News that I

954
00:53:08,960 --> 00:53:12,640
Speaker 2: was likely being monitored by the government under the Obama administration.

955
00:53:12,920 --> 00:53:15,520
Speaker 2: I'd never heard of such a thing. Long story short,

956
00:53:15,560 --> 00:53:18,120
Speaker 2: I had sources, and the intelligence agencies who were able

957
00:53:18,160 --> 00:53:22,160
Speaker 2: to get my CBS computers looked at confirmed it. CBS

958
00:53:22,200 --> 00:53:26,480
Speaker 2: announced that the computers have been infiltrated. I've had probably

959
00:53:26,520 --> 00:53:29,040
Speaker 2: seven or eight independent forensics exam since then that have

960
00:53:29,080 --> 00:53:33,000
Speaker 2: gotten more and more information, including government IP addresses that

961
00:53:33,040 --> 00:53:36,920
Speaker 2: were used to get inside my computers, monitor my key strokes,

962
00:53:37,000 --> 00:53:39,480
Speaker 2: look into my files on controversies that I was covering

963
00:53:39,520 --> 00:53:42,919
Speaker 2: about the government monitoring my families computers, and so on.

964
00:53:43,920 --> 00:53:46,120
Speaker 2: No one wanted to do anything about it. I've been

965
00:53:46,160 --> 00:53:49,920
Speaker 2: suing for ten years. The suits hanging on.

966
00:53:49,920 --> 00:53:51,400
Speaker 3: By a threat's probably going to go away.

967
00:53:51,440 --> 00:53:55,920
Speaker 2: Because we did get a clerk's default against one agent

968
00:53:56,239 --> 00:53:58,040
Speaker 2: who acknowledged being part of the spying.

969
00:53:58,120 --> 00:53:59,040
Speaker 3: It's hard to find.

970
00:53:59,640 --> 00:54:01,879
Speaker 2: The court really want you to already prove everything before

971
00:54:01,880 --> 00:54:03,680
Speaker 2: you even get a case to a jury or get

972
00:54:03,680 --> 00:54:06,279
Speaker 2: it into court, which is next to impossible. We had

973
00:54:06,280 --> 00:54:08,480
Speaker 2: a guy who admitted it, and as soon as I

974
00:54:08,520 --> 00:54:10,960
Speaker 2: got a clerk's default against him about two years ago,

975
00:54:11,040 --> 00:54:14,279
Speaker 2: he supposedly died, so he's nowhere to be found and

976
00:54:14,400 --> 00:54:18,759
Speaker 2: he can't testify against anybody else. And then a second defendant,

977
00:54:19,040 --> 00:54:21,560
Speaker 2: former Secret Service agent who is said to be part

978
00:54:21,600 --> 00:54:24,560
Speaker 2: of one of the operations who serve time in prison

979
00:54:24,560 --> 00:54:29,880
Speaker 2: for other unrelated corruption. Literally after we deposed him, the

980
00:54:30,000 --> 00:54:32,680
Speaker 2: judge in the case dismissed the suit against him because

981
00:54:33,120 --> 00:54:35,640
Speaker 2: this was said in her order. He said he didn't

982
00:54:35,640 --> 00:54:39,640
Speaker 2: do it, so that part of the case is dismissed.

983
00:54:40,760 --> 00:54:44,440
Speaker 2: I actually wrote up sort of a summary of the

984
00:54:44,520 --> 00:54:47,600
Speaker 2: facts and planned to send that to this Department of

985
00:54:47,800 --> 00:54:50,440
Speaker 2: Justice to see if anything happens. I would just like

986
00:54:50,520 --> 00:54:54,920
Speaker 2: them to officially acknowledge I have investigative tips where they

987
00:54:54,920 --> 00:54:57,000
Speaker 2: can use to find out who is involved that they

988
00:54:57,040 --> 00:54:58,359
Speaker 2: certainly could if they wanted to.

989
00:54:59,840 --> 00:54:59,880
Speaker 6: Know.

990
00:55:00,040 --> 00:55:02,040
Speaker 3: I don't think I'm the most important person in the world.

991
00:55:02,120 --> 00:55:05,560
Speaker 2: I just argue if this had been addressed more than

992
00:55:05,600 --> 00:55:08,200
Speaker 2: ten years ago when it first came up, we might

993
00:55:08,200 --> 00:55:10,200
Speaker 2: not have had all the spine since then on the

994
00:55:10,239 --> 00:55:13,680
Speaker 2: Trump administration and on other people, because this stuff's going

995
00:55:13,719 --> 00:55:16,960
Speaker 2: to keep happening until there's some accountability and admission of

996
00:55:16,960 --> 00:55:17,520
Speaker 2: what they did.

997
00:55:18,640 --> 00:55:19,680
Speaker 3: So thanks for asking.

998
00:55:27,600 --> 00:55:32,560
Speaker 11: I'm not medically trained, but I am constantly suspicious of

999
00:55:32,600 --> 00:55:39,480
Speaker 11: our government. It still blows me away that. And can

1000
00:55:39,520 --> 00:55:45,920
Speaker 11: you explain how they got an experimental mRNA gene therapy

1001
00:55:46,160 --> 00:55:50,520
Speaker 11: to be called a vaccine because a vaccine makes you

1002
00:55:50,600 --> 00:55:53,319
Speaker 11: think that it's normal. But if you had marketed it

1003
00:55:53,360 --> 00:55:58,640
Speaker 11: to the American public as experimental mRNA gene therapy, a

1004
00:55:58,640 --> 00:56:00,640
Speaker 11: lot of light bulbs gone off.

1005
00:56:01,719 --> 00:56:04,839
Speaker 2: Well that's beyond something I've investigated. But I think you're

1006
00:56:04,920 --> 00:56:08,480
Speaker 2: right about the notion of this vaccine, first of all,

1007
00:56:08,520 --> 00:56:11,800
Speaker 2: being mismarketed to do something they knew off the front

1008
00:56:11,840 --> 00:56:14,480
Speaker 2: that it wouldn't do. I reported very early in my

1009
00:56:14,520 --> 00:56:17,799
Speaker 2: program from top experts with the government who had worked

1010
00:56:17,840 --> 00:56:21,840
Speaker 2: on the vaccine, they understood this would not the words

1011
00:56:21,840 --> 00:56:24,439
Speaker 2: were used to me, work very well or last very long,

1012
00:56:24,480 --> 00:56:27,680
Speaker 2: because RNA vaccines don't. We'd never been able to make

1013
00:56:27,719 --> 00:56:30,200
Speaker 2: one that did. That's why we don't have a vaccine

1014
00:56:30,200 --> 00:56:33,840
Speaker 2: for AIDS. And it would be an mRNA vaccine, and

1015
00:56:33,840 --> 00:56:36,399
Speaker 2: we've never found one that wouldn't handle that. So they

1016
00:56:36,440 --> 00:56:39,000
Speaker 2: knew at the outset this vaccine when it finally came

1017
00:56:39,040 --> 00:56:41,799
Speaker 2: out a year later, wouldn't last very long or work

1018
00:56:41,920 --> 00:56:42,640
Speaker 2: very well, and that.

1019
00:56:42,680 --> 00:56:43,800
Speaker 3: Boosters would be needed.

1020
00:56:44,200 --> 00:56:46,920
Speaker 2: And yet if you look at which I've made a

1021
00:56:46,960 --> 00:56:49,839
Speaker 2: list in the book, the promises from our public health

1022
00:56:49,880 --> 00:56:53,520
Speaker 2: officials and media were one hundred percent effective. You know,

1023
00:56:53,560 --> 00:56:56,759
Speaker 2: all these crazy things that were being said. We now

1024
00:56:56,800 --> 00:57:02,279
Speaker 2: know it doesn't prevent infection, transmission, sickness. They still claim

1025
00:57:02,320 --> 00:57:05,720
Speaker 2: there's a hospitalization benefit. You have to measure that against

1026
00:57:06,040 --> 00:57:07,759
Speaker 2: the idea that you would get very sick in the

1027
00:57:07,760 --> 00:57:10,719
Speaker 2: first place. Are you giving yourself something that's going to

1028
00:57:10,719 --> 00:57:14,680
Speaker 2: make you potentially sick to possibly but maybe not prevent

1029
00:57:14,760 --> 00:57:17,520
Speaker 2: something that wasn't going to make you very sick? So

1030
00:57:17,720 --> 00:57:19,960
Speaker 2: I think you guys know that, but I don't know

1031
00:57:19,960 --> 00:57:22,680
Speaker 2: the ins and outs of who pulled what strings to

1032
00:57:22,760 --> 00:57:25,240
Speaker 2: get it approved the way it was.

1033
00:57:26,240 --> 00:57:26,800
Speaker 3: I do know.

1034
00:57:26,920 --> 00:57:30,400
Speaker 2: I believe it was September twenty first, the year after

1035
00:57:30,440 --> 00:57:33,360
Speaker 2: it came out. Once we understood that it didn't prevent infection,

1036
00:57:33,480 --> 00:57:37,440
Speaker 2: transmission or illness, someone went on the CDC website overnight

1037
00:57:37,480 --> 00:57:41,240
Speaker 2: and changed the definition of vaccine so that this vaccine

1038
00:57:41,240 --> 00:57:43,520
Speaker 2: would meet the definition even though it didn't do what

1039
00:57:43,640 --> 00:57:46,840
Speaker 2: vaccines have been known or thought to do for two

1040
00:57:46,960 --> 00:57:50,280
Speaker 2: hundred years. I think the government should find out who

1041
00:57:50,400 --> 00:57:53,200
Speaker 2: changed that, because I don't think any single person at

1042
00:57:53,240 --> 00:57:55,720
Speaker 2: CDC or anywhere else has the right to change a

1043
00:57:55,800 --> 00:57:59,840
Speaker 2: medical definition of something understood without a public hearing or

1044
00:58:00,160 --> 00:58:02,240
Speaker 2: vote or any consultation with anybody.

1045
00:58:03,800 --> 00:58:05,800
Speaker 3: We now have time for one more question.

1046
00:58:06,680 --> 00:58:10,960
Speaker 12: Hi, Cheryl rod Barbara from Connecticut. I first want to

1047
00:58:11,000 --> 00:58:15,120
Speaker 12: acknowledge that, despite your tenure at CBS, I have no

1048
00:58:15,200 --> 00:58:19,120
Speaker 12: idea what your politics are, and I really appreciate the

1049
00:58:19,120 --> 00:58:22,760
Speaker 12: fact that you've not bent the news as you've reported it,

1050
00:58:22,840 --> 00:58:26,600
Speaker 12: and perhaps that doesn't go notice as much, but thank

1051
00:58:26,640 --> 00:58:29,640
Speaker 12: you for that. It was sort of my thunder was

1052
00:58:29,640 --> 00:58:33,360
Speaker 12: a little bit stolen with the government stuff, but I

1053
00:58:33,680 --> 00:58:36,120
Speaker 12: wondered if you were concerned about the impact of the

1054
00:58:36,200 --> 00:58:40,520
Speaker 12: billion dollar industry, the multi billion dollar industry coming after

1055
00:58:40,680 --> 00:58:44,040
Speaker 12: people that do expose this sort of corruption. You know,

1056
00:58:44,080 --> 00:58:47,720
Speaker 12: they've made RFK Junior look like a lunatic. They've gone

1057
00:58:47,720 --> 00:58:51,959
Speaker 12: after a lot of people personally to discredit them rather

1058
00:58:52,040 --> 00:58:54,439
Speaker 12: than addressing the complaints that are being made. I don't

1059
00:58:54,440 --> 00:58:56,080
Speaker 12: know if you can comment about that.

1060
00:58:56,240 --> 00:58:58,080
Speaker 2: Why would just say a lot of people are learning.

1061
00:58:58,160 --> 00:59:01,840
Speaker 2: That's the tell whenever where the media is on message

1062
00:59:02,360 --> 00:59:07,440
Speaker 2: with some campaign that everybody's using similar language and everybody's

1063
00:59:07,760 --> 00:59:10,120
Speaker 2: promulgating the same view and telling you the other view

1064
00:59:10,160 --> 00:59:13,200
Speaker 2: is totally debunked and don't listen to it, you can

1065
00:59:13,240 --> 00:59:16,400
Speaker 2: almost count on that should cue you to say the

1066
00:59:16,440 --> 00:59:19,280
Speaker 2: opposite may be true, like they've really overplayed their hand.

1067
00:59:19,680 --> 00:59:22,400
Speaker 2: And now the tell is when they do that or

1068
00:59:22,480 --> 00:59:25,080
Speaker 2: try to stop somebody from speaking, that leads me to think,

1069
00:59:25,760 --> 00:59:28,640
Speaker 2: I need to find out what that person wants to say,

1070
00:59:28,760 --> 00:59:31,560
Speaker 2: because that could be something worthy. It tells me there

1071
00:59:31,560 --> 00:59:34,440
Speaker 2: are powerful interests that don't want that person to get

1072
00:59:34,480 --> 00:59:36,560
Speaker 2: out the information of the facts they're trying to say.

1073
00:59:36,640 --> 00:59:39,320
Speaker 2: So I just say, use that information to your advantage

1074
00:59:39,320 --> 00:59:42,240
Speaker 2: and let them understand. You just cued me to something

1075
00:59:42,280 --> 00:59:44,240
Speaker 2: that I'm now going to find out about by trying

1076
00:59:44,240 --> 00:59:45,400
Speaker 2: to get me not to listen to it.

1077
00:59:46,920 --> 00:59:47,720
Speaker 3: Thank you everybody.

1078
00:59:49,440 --> 00:59:52,440
Speaker 1: If you like the Michael Berry Show in podcast, please

1079
00:59:52,640 --> 00:59:56,760
Speaker 1: tell one friend, and if you're so inclined, write a

1080
00:59:56,880 --> 01:00:01,920
Speaker 1: nice review of our podcast. Comments, questions, questions, and interest

1081
01:00:02,000 --> 01:00:05,880
Speaker 1: in being a corporate sponsor and partner can be communicated

1082
01:00:05,920 --> 01:00:10,400
Speaker 1: directly to the show at our email address, Michael at

1083
01:00:10,520 --> 01:00:15,040
Speaker 1: Michael Berryshow dot com, or simply by clicking on our website,

1084
01:00:15,360 --> 01:00:19,880
Speaker 1: Michael Berryshow dot com. The Michael Berry Show and Podcast

1085
01:00:20,200 --> 01:00:25,320
Speaker 1: is produced by Ramon Roeblis, The King of Ding. Executive

1086
01:00:25,400 --> 01:00:34,200
Speaker 1: producer is Chad Knakanishi. Jim Mudd is the creative director.

1087
01:00:35,040 --> 01:00:40,600
Speaker 1: Voices Jingles, Tomfoolery, and Shenanigans are provided by Chance McLain.

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Speaker 1: Director of Research is Sandy Peterson. Emily Bull is our

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Speaker 1: assistant listener and superfan. Contributions are appreciated and often incorporated

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Speaker 1: into our production. Where possible, we give credit, Where not,

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Speaker 1: we take all the credit for ourselves. God bless the

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Speaker 1: memory of Rush Limbaugh. Long live Elvis, be a simple

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Speaker 1: man like Leonard Skinnard told you, And God bless America. Finally,

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Speaker 1: if you know a veteran suffering from PTSD, call Camp

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Speaker 1: Hope at eight seven seven seven one seven PTSD and

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Speaker 1: a combat veteran will answer the phone to provide free

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Speaker 1: counseling