Latest / UK Column Radio / Irrefutable Evidence With John Beaudoin—Part 1

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Irrefutable Evidence With John Beaudoin—Part 1 · UK Column Radio

0:07
Hello, and welcome to another UK column interview. My name's Debbie Evans,
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and today I'm joined by our very good friend Cheryl Granger. But I'm also
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joined by a very very astute engineer called John Bodwin. Now, if you
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have not heard of the name John Bodwin, you will now and where have
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you been? Because John is a very humble gentleman, but he is an
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extraordinary engineer who's got extraordinary irrefutable data on excess deaths. Why you ask yourself,
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how has this man got all of this data? Well, he asked
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for it and that was very simply what happened. What do I mean by
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irrefutably irrefutable data and extraordinary data? Well, I mean actually over a million
1:02
death certificates and yes, John asked for them, and John got them.
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And I'm delighted to be able to welcome you from across the pond in the
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USA. John, Welcome to UK column and thank you so much for agreeing
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to talk to us today. Good morning, and thank you for having me
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on UKKAM. Really nice to meet you. Debbie and Cheryl. Hope we
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have a good conversation. I'm sure we will. I can assure you we
1:27
will. And on that note, let's welcome Cheryl as well, who many
1:30
of our viewers and listeners will know. Cheryl is a self employed pharmaceutical training
1:37
consultant and she's done much work with me on the MHRA vaccines, excess deaths
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and mRNA. So Cheryl, thank you so much for a facilitating this interview
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and joining us today. Welcome, thanks, Debbie, and hello John.
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Nice to be with you both this afternoon. Actually here, yeah, thank
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you. Plan is is that we're going to show you a very short piece
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of video now just to give you a flavor of who John is and what
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he's done, because I think you're going to find it extraordinary. And then
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I'm going to hand over to Cheryl because Cheryl's going to do a bit of
2:14
data crunching because that's what John is all about. So without further ado,
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here's a very short video clip just to give you a flavor of who we're
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talking to today. COVID. As I've proven in my book and in the
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CDC Memorandum a second publication, of eighty to ninety percent of the COVID deca
2:31
fraud, they were drug overdoses and car accidents, and they were a bunch
2:35
of old people dying out of neglect and being mistreated by hospitals, weren't given
2:39
antibiotics when they had a bacterial infection in their lungs. These things all combined
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through a coercion of doctors from the American Board of Internal Medicine, Family Medicine,
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Pediatrics, the State Licensing Boards, the Federation of State Medical Boards,
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the nih FDA CDC all said the same thing. You will use this protocol
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or we're going to suspend your license, and you can find that on the
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web. The letter is still there. It's a joint statement by the CEOs
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of the American Board of Internal Medicine and the other two I mentioned. So
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with regard to all of the hospital protocols, I call it murder because at
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some level somebody knew what they were doing. More than half a million people
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killed by hospital protocols. Another half a million killed by what they call a
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vaccine. I have all the data I can show it. I now have
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one point four million unredacted non redacted death certificates. That represents five percent of
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the US population. It's the biggest study, biggest database ever in anything COVID.
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Thanks John, I think that summarized a lot of what we're going to
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talk about today, which is want a bit more information. You say,
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and you've got one point four million certificates. How on earth did you get
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them? How on earth did you get to write an FOI and get them
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to be released? What was it about your particular request you think that actually
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allowed you to have all this Massachusetts data? Oh boy, it's really simple,
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but it's not. So I spread eight public records requests, now that's
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the Massachusetts state version of the Foyer Freedom of Information, and I spread them
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across different people so that the state wouldn't think it was all coming from one
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person. Then just deny them all. So seven were rejected, and the
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one that came through was the entire death record. And I say record instead
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of certificate, because the certificates are actually the pieces of the paper, right.
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The records have a lot more information. I have three hundred and fifteen
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different columns per secedent, per person who died, three hundred and fifteen different
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variables across a row of a spreadsheet. That's a lot more than it is
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on a death CERTIFICY. So I have the medical examiner's name, license number
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of address, I have the burial plot of the person, whether or not
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they were cremated, the causes of death. So I asked for it and
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they gave it to us. And then they further said, you don't even
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need to do a public records request, you just need to ask for it.
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In Massachusetts, we don't have privacy and death laws like most of the
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United States states do. Most of them are fifty to seventy years. So
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that's how I got Massachusetts. Somebody did the same thing in Minnesota unbeknownst to
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me for over a year, and she was working on that and when we
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found each other after rovery I think a year, and she offered me the
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Minnesota database and I said, yeah, sure, So I got that,
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and then I recently got a third. Oh, and I worked with a
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gentleman in New York City sometimes Aaron Herzberg. He got Vermont, which is
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great. It's a very small state, so it's hard to find signals,
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but you can find individual cases and there are signals that we'd get into that
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later. But and then I got another state. I guess i'd say a
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fourth state very recently, and I'll have a third book coming out end of
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summer. So Basically I asked for them. That's how I got them.
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Oh, the fourth one, I almost don't want to say. I applied
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to do a research paper, which I am doing. I have engaged a
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gentleman at MIT who is just graduating now. He's also an electrical engineer,
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and he's going to use some discrete folly to transform electrical engineering techniques to derive
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the seasonality of deaths by cause, where pneumonia would have high seasonality. More
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people die in the winter of pneumonia than in the summer in a northern climate.
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And then it doesn't matter with regard to I me pick something like cardiac
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arrest. You know there's no well, that's probably a bad one because that
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goes with pneumonia. Let me just say a heart attack. There aren't any
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more heart attacks in the winter than the summer, so there's no season,
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so the signal to noise ratio would be different. Now I'm off on a
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tangent, so only get back to Yeah, I got to the fourth state,
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and I got it because I'm going to do a research paper, and
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I will because I said I would, and there will be one hundred times
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more incidental findings than climate change versus heart disease, which is what I applied
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to do. Are you from Massachusetts? Is that why you got this data?
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I live in Massachusetts. Am I from Massachusetts? No, I'm from
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Connecticut. And there's a very big difference, even though it's only two hours
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away, and it's between New York and Boston, so you hear people with
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the Boston accent and people with a New York accent. Connecticut does not really
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have an accent unless you get closed to New York. Have you had any
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pushback from the people who gave you these death certificates and your analysis. Has
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there been any reaction? No, not at all. In fact, I
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don't think they can now because I sued the governor or, the Public Health
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Commissioner, the chief Medical Examiner, and for individual medical examiners in the United
8:03
States District Court District Massachusetts, so they were probably under orders from the Attorney
8:09
General's office quiet not talk. Everything I've stated is factual, and it's sworn
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to under oath in federal court, which means they can put me in jail
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if I'm lying, and I'm not lying because it's their data and it's all
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true. And I've been working with the fires and madernal document analysis with daily
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Clout and or the information that they have which is primary source information. So
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it's really been phiser analysis. Start off with FIS. I haven't suited them
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because obviously they can't. It's their data. It's their data that they put
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forward for licensing, so it's the same sort of thing. But I'm just
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jealous of the fact that in your system you can actually get answers to your
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freedom of information without people hiding. So you have done a lot of comparisons
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to THEIRS to find these people that you have death certificates for, and I'm
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interested in that because you talk about people as people. You talk about these
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poor souls who have unfortunately died and make the links about them. That must
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have been very difficult for you to do. But I think you started off
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with a Cassidy Baraka. Yes, it's it is difficult. I hate to
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say that human nature makes it easier over time, and now it's hard again
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because I grew up in the state the fourth state that I now have,
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and as I dive into it, I see people from my hometown and so
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became difficult again. But with with Cassidy, I wouldn't write the name for
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a while and nobody was paying attention. And if you don't say a name,
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people won't leave you. So I looked up the obituary public information,
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so everything I say is public information. I'm not, you know, by
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law restricted. So I did use her name because it's so important to save
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the living children, and I think she and her mother would want that.
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And I've not contacted her mother for other reasons. I was going to,
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but I was told not to. There's something that I think they threatened her
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to be quiet, and I won't talk about that now. It has to
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do with a certain agency in Matchusetts. But yeah, it's very difficult,
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and the important thing is to use the names because everybody else out there who's
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listening, this is not just data. And I know that we're going to
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talk about data today and people call me the data guy. But the most
10:41
conclusive evidence is an individual persons who had a reaction. And what I did
10:48
was I correlated to pairs by looking at the age, the gender, the
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state. Okay, how many people died in the state around that time.
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There were four seven year old girls who died around that time. In my
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book, in chapter one, I go through all four and I show how
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the other three cannot possibly be the person in the VERS record, which the
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VERS records are anonymous, there's no names, but it has to be Cassidy.
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There's no question it's Cassidy. And in my lawsuit, I'm asking the
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state to tell me, did you write that she died from COVID, from
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COVID whereas I know she died from the vaccine. Tell the truth. I'm
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asking the judge to compel the state to tell the truth because all the parents
11:31
that read that in the newspaper and listen to it on television, it was
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on all the TV stations, seven year old guys from COVID, they all
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got their kids and they lined them right up for that shot and put them
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in harm's way. And I have several many that I've correlated with the New
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State. I just found forty one vaccine deaths that I correlated to VERS.
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In Massachusetts, I have about fifty. In Minnesota, I have about fifty,
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and then there's nine in Minnesota that actually state the vaccine killed them.
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And in Massachusetts they're a ten that state the vaccine killed and in the New
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State, four state that the vaccine killed them. But the CEC only coded
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the first three in Minnesota, the first one in Massachusetts, in the first
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one in the fourth state, and they stopped coding them after that. And
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being that it's an automatic software program that codes the English word sent to them
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on the death records, that means somebody either deleted the codes after they were
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generated. And the code specifically is Y five to nine dot zero. And
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I can talk about how that's applicable to the UK in a moment, if
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you want to go there. But Y five nine dot zero means viral vaccines
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and that was generated for Solomon Kizito, who died on January sixteenth in Massachusetts
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in the year twenty twenty one. That's only two weeks into the vaccine program
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he died, and it says it right on his death certificate he died from
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a cute broco pneumonia in the setting of idiopathic from a side opinion, idiopathic
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meaning we don't know where it came from. Well, there's all kinds of
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papers showing how trauma side openia is frequent from these vaccines, and we we
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again, it's another thing we can get into. That's chapter two. I
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show where that there's a paper fatal post COVID m RNA vaccine associated cereberlischemia is
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the title, and it says in every paragraph the vaccine killed the thirty year
13:22
old woman by stroke and so forth. So the CDC for the next nine
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did not code the word vaccine or vaccination. Where people died within five minutes
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of the vaccine or one or two hours later or the next day from a
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pulmonary embolism or a cardiac arrhythmia or a traumacyte openia, all very common from
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this vaccine. And I show death, death, death, death. They
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knew within weeks of this vaccine. They knew that it was killing people,
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and they've been hiding it. And that's why I say that, you know,
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data is good, but individual cases are conclusive evidence. Where data is
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persuasive and supplement to the conclusive evidence, it's always very interesting to put a
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name to these cases. John, and you're saying that this is something that
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has been miscoded in the UK as well, and that presumably this has been
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happening all around the world. I can't say miscoded, but it's been avoided
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being coded. I would have to see the individual records from the UK and
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the governments are hiding all the records from the people. I was you know
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that. Now, there's a few of us that have gotten these records,
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the women in Minnesota and Aaron Hertzberg and New York. But we're talking worldwide.
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We have what three people who've gotten these records. Oh, Bobby Bounce
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got some Nevada in New Mexico too, So that's four people. Yeah.
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So in the UK, the WI FI ninety that I was mentioning has to
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do with the U one two dot nine. U one two dot nine is
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specific to the COVID vaccine. And I testified in New Hampshire with a bunch
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of factual information for maybe fifteen minutes or so. And the woman who came
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up after me from the Department of Health and Human Services of New Hampshire,
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chief of the Bureau of Statistics I believe within New Hampshire, stated that in
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preparing for the meeting, she had her staff look at U one two dot
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nine and there were no deaths from COVID listed. What she didn't know in
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stating that is that the United States and the CDC did not adopt you one
15:30
two dot nine. It is not mentioned in the CDC at all I combed
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through everything. However, I did find that it is used by the UK
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and it is used by Germany in the context of death by a COVID vaccine.
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But there's a specific note under that in the UK, and that note
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states it's a subcategory of WY five nine dot zero, so you should see
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WI five nine dot zero, just like the United States uses five nine zero.
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You probably won't see you one two dot nine. It needs to be
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looked at find out how many hundreds are coded that, and if you find
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them, that's only the tip of the iceberg, because the others are probably
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being hidden like they did in the United States. I mean, we've had
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some changes made to UK certification when this all started, so because we had
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a doctor Shipman who basically bumped a lot of people off to basically have a
16:27
mondature gain. Older people were put to sleep by him, and because of
16:36
that they changed the rules that you had to have two doctors sign the death
16:38
certificate until COVID came along, and at the beginning of twenty twenty they reduced
16:45
it down to one doctor and the doctor didn't even have to see the body.
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They could actually certify the body remotely, so the whole thing was open
16:55
to a lot of interpretation. I know this my mum in law, who
17:00
was one hundred and one died. Fortunately, on her death certificate it says
17:03
she tied of old age, which obviously I couldn't argue with. But the
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end of the day, a lot of people because they hadn't been seen,
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and a lot of people at the beginning, as you'll go on to say,
17:14
were in care homes that were elderly people, they actually were basically said
17:21
to have died for COVID. There were no autopsies being done, which obviously
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when a new medication comes out and the deaths, autopsies have always been done
17:30
until this twenty twenty. And also the coroner's office in the UK don't seem
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to be centralized. We seem to have every coroner's office acting independently in terms
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of getting information, so that makes it again another difficulty. It's similar but
17:51
different. In the UK. You've talked about errors in the certification omissions,
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extremely rare labels, feasans being acted on, and deliberate fraud happening. So
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you've talked about federal felony because the omission of root cause of death has been
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omitted. And you talk about different types of fraud, you talk about fraud
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of commission and fraud of a mission. Can you tell us a little bit
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about that and whether there are any court cases that have come out of that
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knowledge. With regard to the fraud, the fraud of omission would be omitting
18:30
a vaccine as a cause of death where the certifier knows that the vaccine caused
18:36
the death. In such a case, Cassidy Baraka, somebody wrote a bear's
18:41
report, so they knew. They wrote that report before she even died.
18:45
Two days after she was injected. They wrote the report and then she expecting
18:49
her to die, and she did die. With regard to Brionna McCarthy,
18:53
thirty years old, they wrote, the doctors at the Beth Israel Deaconess Medical
18:59
Center Harvard College wrote a six page report and in that report they stated in
19:03
the title that she was killed by the vaccine by stroke, and in every
19:08
paragraph they say it. In fact, they say a number of reports on
19:11
these COVID vaccines and several reports, and they also write where CVST is not
19:18
in this particular case, because Brianna died from an aeschemic stroke. It says,
19:25
although this is not a CVST, which means cerebral venus sinus thrombosis,
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it's a type of haemorrhagic stroke. While the CVST is not. She did
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not die of this. There are several reports of cvsts occurring from these vaccines
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where throng beside openia is frequent. Okay, they're using words several reports,
19:45
a number of reports and frequent. And yet two weeks before Brianna was injected
19:51
on she was injected on March thirtieth, twenty twenty one, like eight nine
19:56
weeks into the vaccine campaign. Two weeks before that, in Massachusetts, not
20:00
far away, Diane Dubois is sixty two years old, and on her death
20:04
certificate it actually says and it's not coded, okay, It actually says acute
20:12
intracranial hemorrhage in the setting of traumacytepenia in a person vaccinated eleven days prior.
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It says vaccine on her death record. It does not get coded with WY
20:23
five nine dot zero. It is fraudulent. They know it. They're doing
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it on purpose. So it's fraught of commission in the fact that well,
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it's frought of omission by omitting the Wi Fi nine dot zero. The fraud
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of commission are all the acute fentanyl overdoses, blunt forest trauma to the head,
20:41
blunt forest trauma to the Torso they're testing dead bodies for COVID. It
20:45
was not causal in their death. It is very clear what goes on at
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death record. It has to be causal in their death to be under the
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causes of death, and that's part one ABCD. Right in reverse time order,
20:59
the most recent thing that happened, like they stopped breathing, would be
21:03
or that their heart stopped. That's cardio pulmonary arrest. They both stop.
21:07
That's the last thing that happens before death. It's called the immediate cause.
21:11
That's in cause. So the writing down that they died from COVID is a
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fraud of commission and they've done it over and over and over. I have
21:19
hundreds of accidental deaths labeled COVID and then I've spoken to I interviewed a medical
21:26
examiner for three and a half hours, reviewed hundreds of death certificates with him,
21:32
and he told me nobody came to the office during that first nine weeks
21:36
of COVID and in Massachusetts, it's like almost nine thousand people eighty eight hundred
21:41
access more than normal deaths mid March to mid June of twenty twenty. That
21:45
drove the fear of the pandemic worldwide. Along with New York City and New
21:49
Jersey, I can talk about that in a few minutes. Massachusetts kind of
21:56
did this to the world. There is a reason for that. You're talking
21:59
about codes there, and in the UK we have something called ICD codes.
22:03
We have diagnostic codes, and we do have a code for unvaccinated, but
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we don't have a code for vaccine injury. And I think one piece of
22:15
data that I found particularly striking when you were talking about it, and I
22:19
think you were just going to perhaps hint on it now. But before I
22:25
go to that, I want to say to people that are watching and listening
22:27
that Cheryl will show you in a minute John's book. But everything that John
22:33
is talking about today, he's written the most amazing book. I don't suppose
22:36
he ever expected to be writing a book like this in his lifetime. But
22:41
THEREALCDC dot com and that's C with a little D and a big C.
22:48
We'll have that on the screen and maybe John can give us a bit of
22:52
an answer of why it's called that, because there's a good reason behind it.
22:56
However, one of the things that first triggered you into a bit of
23:00
a red flag, John, was that what you were talking about there was
23:06
respiratory deaths in twenty twenty were coded J. You were seeing them as a
23:11
J code, and so those were up in twenty twenty. But then following
23:18
on from that, the J code kind of fell off the radar and was
23:22
replaced with other codes with other conditions, with people much younger. Because you
23:30
were getting death certificates, I think it's important that we highlight this to viewers
23:34
and listeners. You were getting them unreadacted, so you were getting their names,
23:38
their ages, their addresses, their medical histories, I mean, the
23:41
most phenomenal amounts of information. So when you started to see that the J
23:49
code for respiratory conditions, which makes sense with a respiratory illness, was suddenly
23:56
disappearing. What were you noticing from there on? What kind of codes were
24:02
you seeing in replace of the J code. Yeah, So, I mean
24:06
I'm an engineer, not a biologist or a doctor, and I didn't even
24:08
know their were codes. What I did was I noticed certain things were happening
24:15
more. And then I saw these codes way to the right, and then
24:18
they're international. So your codes are the same as our codes. We just
24:22
each each nation adopts a subset of the overall codes. They're put out by
24:26
the WHOW, but they're all the same. So J one to eightee is
24:32
pneumonia unspecified, you know, J one two is viral pneumonia. J one
24:37
to five is bacterial anemonia. That's important. I'll discuss that in a moment.
24:41
But what I did was I just typed all the codes in and I
24:45
created a quick search tool. I did a lot of spreadsheet calculations and formula,
24:52
and I put them all on a column, and I had twenty twenty
24:53
versus twenty twenty one, which one is in greater excess from twenty fifteen through
25:00
twenty nineteen, So twenty fifteen through nineteen is the baseline. And looking at
25:04
twenty twenty and twenty twenty one, which one is greater and the J codes
25:08
which aurel respiratory, flew ards, COPD, pneumonia, they all lit up
25:15
in twenty twenty it was in greater excess than twenty one. And then when
25:18
I got to the I codes, which are circulatory, and the D codes
25:22
D for delta, which are blood and blood forming organs. The icodes and
25:27
dcodes lit up in twenty one, so they were in greater numbers, and
25:32
so I started then looking for hotspots in standard deviations above norm, and pulinary
25:38
embolism popped out big time. So I looked at pulmonary embolism and pullmanary embolism
25:45
went up. It went up within the year of COVID because a lot of
25:48
old people didn't get out of bed. They were left in bed in at
25:52
clots, right, so they ended up with pulmary Embly, just by the
25:55
nature of eighty eight hundred xs deaths I divide by the number of total deaths
26:00
in the year, pomentary embolism kind of disappears. It didn't really happen in
26:04
twenty twenty in a prevalence factor right, more than normal. But in twenty
26:10
twenty one it went up substantially like a lot, and in twenty two also.
26:17
But back when I first did it, I only had two months to
26:18
twenty two, so I was really looking at twenty twenty and twenty twenty one.
26:22
So pulmonary embolism and I two sixt nine. Pulmonary embolism without mention of
26:27
acute corp pulmonalis the name of that. That went up substantially in twenty one,
26:32
not in twenty but COVID at the same time went down. Pneumonia went
26:36
down, so year over year from twenty twenty to twenty twenty one, you
26:38
have all cause go down. The marginal difference was cut in half. The
26:42
pneumonia marginal difference was cut in half. The number of COVID deaths were cut
26:48
in half well. At the same time, pulmonary embolism a clot in your
26:51
lung that kills you from ventricular failure, that went up substantially. It's the
26:56
opposite direction. And so I looked at all the other codes like and I'll
27:00
just rattle them off, like a cute post tamoragic anemia. That's sudden blood
27:04
loss anemia, non traumatic. Because I have the individual records, I could
27:10
look through the one hundred records or so and find that eighty nine percent of
27:14
them had no trauma. That means nope, the steering wheel of the car
27:18
didn't hit them and rupture their a order. They didn't have a surgeon make
27:23
a mistake. These were all of a sudden you have a hole eaten through
27:27
some major artery in your body and you bleed out in your body and die.
27:32
That just doesn't happen like this. That all these things started happening more
27:37
after the vaccine, So a cute post tamorrhagic inemia, thramocide, openia,
27:41
a cute excuse me, cardiac arrhythm, a cardiac arrest, pulmonary embolism.
27:47
The difficult ones were the neurological. It took me another three or four months
27:51
to find those, because there are about fifty different codes associated with neurological,
27:55
and that means all the different kinds of strokes, brain herniations, haemorrhad strokes,
28:00
or schemic strokes, what part of the brain. By the time you
28:03
look at all the signals, every one of them is so small that it's
28:07
easier to go through the individual records. And that's why chapter two is about
28:11
three strokes and three women, just to show the world that three women died
28:15
in three months, very early in vaccination, and they were all covered up
28:18
and hidden by the government of Massachusetts just before I actually something else, John,
28:23
I want everybody to see your book, which is a really easy read.
28:29
You've written it for the common man to actually understand. Do you want
28:34
to say a little bit about why it gets that title and why you've got
28:37
your T shirt on with the same emblem. Sure? So. My friend
28:41
Mark Giradeau, whom you may want to interview, he also came out with
28:47
a book recently, but he's in France. And I was in a group
28:52
of Steve Kersh Marchi Rideaux, Kevin mccurn and Jessica Rose, Stephanie sent off
28:56
Byron Bridle, Matthew Crawford and a few other people. We talked two hours
29:02
a week and I wanted to write a substack and I wanted to be anonymous
29:07
at the time, and so I have a black dog and I created a
29:12
logo that Steve Kirsch didn't like, and he made me use just the dog's
29:15
head. I had the profile of a dog squatting. He didn't like that,
29:21
so I just used the head. But I wanted it to be called
29:25
bad dog or naughty dog. And I said, Mark, you know,
29:27
how do you say that in French? And we went back and forth like
29:32
five times, like no, that's not what I mean. I said,
29:33
Mark, what would you yell at your dog? If he pooped on the
29:37
floor in the house and Mark said Cocnishian, I said, okay, that's
29:42
what I'll use. So I used Colcnishian and that was my substack name for
29:48
a while, and that means bad dog or naughty dog in French. Well,
29:52
serendipitous to that is the fact that the initials are C D C,
29:56
where the d is lower case for the cocnt the chion. That's where it
30:02
came from. Mark talks about the bolus injection, how that's largely responsible for
30:08
most of the problems. Just to say you can get it off Amazon.
30:11
Now, I had to go to Amazon US, but they would deliver,
30:15
So that's good. That's how I got my book. So you mentioned about
30:19
seasonality, So you talk about seasonality profiles and AID spectrum profiles and then symptom
30:26
profiles. So seasonality basically we're used to infections like flu starting off in Australia
30:33
in this country and then eventually get into the UK. In twenty twenty,
30:38
we had COVID everywhere, So what do you have to say about seasonality and
30:45
the behavior in twenty twenty. So with seasonality, especially in the northern climates,
30:49
you'll have more respiratory deaths, associated deaths in the winter than in the
30:55
summer. And when you look at an all cause deaths analysis or just a
30:59
waveform of all the people dying in a society in the north, you will
31:03
see a Siginn wave. I've been told it's not a sign wave, like,
31:07
well, it sure looks like one. It's pretty close. It was
31:10
more in the winter than in the summer. And then if you look at
31:12
pneumonia, you'll see more in the winter than in the summer. And if
31:15
you look at COVID, you'll see it enter say Massachusetts, around March,
31:22
so it didn't start in November like a normal full season would, but then
31:26
it goes down in May, and it was pretty much done in June,
31:30
and then it came back in November and you have a second wave, and
31:33
then in the third wave, which is nonexistent. COVID has been over for
31:37
a couple of years, if you even believe there was COVID. So that's
31:42
just to establish what seasonality is, what happened when you when you start stripping
31:48
away like what's normal, and you go looking at individual causes, and you
31:53
find that pneumonia was up. It was up in the first wave of COVID
31:59
and then minished like it should as a disease would in the older population.
32:05
However, very interestingly, after they started vaccinating people, death by pneumonia in
32:10
the younger people, and I mean like twenty five to seventy five, you'll
32:15
see as you get younger and younger, the third wave is greater than the
32:19
first wave. You tell me what disease comes in that somebody survives two years
32:23
of and then in the third year starts dying of pneumonia. I mean,
32:28
so if you look by cause, you see that the seasonality, it's it's
32:34
kind of backwards, right. But now let's talk about something that is not
32:37
seasonal, like cardiac arrhythmi or things like that. When you strip away all
32:45
the normal, what's left over is a signal that is a linearly increasing line
32:51
that resembles the uptake of vaccine. So you don't have a seat and you
32:54
say, oh, well, that's COVID, Oh COVID cause is that you
32:58
know? I was hiking in doc I ran into I coached his son in
33:01
football English football, United States soccer, and he knows that I lost my
33:07
son. And his wife is a pediatrician. He's a cardiologist. He said,
33:14
what are you doing lately? Because he knows I'm depressed. I was
33:16
like, I'm just writing a book. Well, what's it about COVID?
33:20
And then you know that's a serious disease, you know, like yeah,
33:22
okay, And then it came to I'm a cardiologist. I know, I
33:27
know. I'm like, okay, what about asinophilic myocarditis or lympho histiosidic miocardidis.
33:31
He starts walking away and he turns around and says, that happens with
33:35
COVID too, you knowh No, it doesn't not like this. So the
33:42
prevalence of the seasonality of things, like I don't like to talk about my
33:45
orcarditis because it's only one percent of the overall deaths. I think it's over
33:50
talked about. People are dying of many things. If you look at pulmonary
33:52
embolism, it went along with the uptake of vaccine. It did not come
33:57
in seasonally with COVID. It was not shown to be more prevalent in overall
34:02
death in twenty twenty. It happened in twenty one, and it happened along
34:06
with the curve of the uptake of vaccine, which is linearly increasing curve,
34:10
not a seasonal RESPI or seasonal curve. The same with traumacytepenia, and all
34:16
the others. So the seasonality of when people die throughout the year as an
34:22
association mostly with respiratory stuff. If it gets really super cold, then people
34:28
do die of heart attacks, and there's probably some reason, like I don't
34:31
know, snow blowing the snow away or trying to shovel too much and they
34:37
die of a heart attack. There is a signal, but it has to
34:39
be extreme, has to be extreme cold or extreme hot they die of heart
34:44
attacks. So yeah, I've proven in the data that respiratory type illnesses die
34:52
more in the winter than the summer. But they're dying more in the third
34:57
wave. So when you start subtracting out what should have happen, it's like,
35:00
well, this shouldn't happen. Why are people's immune or the immune mechanism
35:04
the I eight and D eight codes, mostly the D eight codes. The
35:08
immune mechanism. It's not a whack. It has been from the very very
35:13
beginning of the vaccine, not COVID. It's very stark. It starts in
35:17
twenty one, not twenty The biggest wave of COVID was in purely in twenty
35:22
twenty in Massachusetts, and so these differences in seasonality are very stark, and
35:28
they show that it can't be COVID, it must be something else, and
35:31
so I'm saying that something else is likely the vaccine. I mean, I
35:36
find it fascinating that you've got these, all of these death certificates, that
35:39
anybody would even think to send them to you, quite honestly. But the
35:44
fact is is that you have got them, and I'm just thinking to myself,
35:50
well, how do we in the UK get data like this? We're
35:54
probably not going to get it. But one thing that you didn't I'm presuming
35:59
wasn't on the death certificates was vaccination status, because we don't seem to have
36:06
any data with the correlation of vaccinated and unvaccination. If we had that,
36:12
I guess that would be the holy grail. But am I right in thinking
36:15
that you didn't have the vaccination status on the death certificates? That's correct.
36:21
I use the VERS database to correlate. I wanted to make sure that I
36:24
have the right person, and that's where there's a chapter in the book that
36:29
says Bear's correlation, right, I can't remember the name of the title of
36:32
the chapter, but yeah, that's where I correlated to and the correlation is
36:37
sound. I show you every person who died that is that age, that
36:42
gender, died on that date, right, because sometimes the Bears records say
36:45
of the date they died, and then I find other conditions and writings within
36:51
the Bears record. In fact, there's one twelve year old girl. It
36:55
appears that somebody wrote the Bears record using the language from the death record,
37:00
which is Sarahbell or Tonsiller in bilateral uncle herniation. It's the only time I
37:06
saw that in a million records, and there it is. It's in both
37:09
the VERS record and the death record. And she was injected on March third.
37:15
This is where I get the injection dates on the VERS record March third,
37:17
twenty twenty two. She died on March twenty ninth. She had four
37:22
injections, four and that was HPV ME Ninja cockle t DAP and her third
37:29
COVID vaccine three in her left arm, one in her right arm. So
37:32
yeah, I have detailed information from those records, and in fact I told
37:37
you earlier some of the death records actually state that the vaccine killed the person,
37:43
and because they're not coded by the CDC. Like I said, the
37:46
first one in Massachusetts was coded, the next nine were not, the first
37:50
three in Minnesota, the next six were not, the first one in the
37:53
fourth state, and the next three were not. Meaning it says it on
37:59
the death k record that the vaccine killed these people. And if you extrapolate
38:02
that, you have hundreds across the US, but you don't see it in
38:06
the data. And that's all anybody can find is the data. Like in
38:08
the UK, right, you need to see that. The data being the
38:13
codes, the ICD ten codes, that's all you really get to see.
38:16
You don't see the individual writings. What did the medical examiner or doctor write
38:21
on the death certificate? And that's why record level source data is so important.
38:27
And I could I could really tell you how many of the papers written
38:30
around the world by all the PhDs are wrong because they're making assumptions as to
38:35
the underlying meaning of the codes and the data, especially with regard to cardiac
38:39
arrest. I got something coming out on that past thirty years of papers using
38:45
I four codes are probably wrong. I think it's important that we also remind
38:51
our viewers that the var's data that you get in the USA is very different
38:55
from the MHR data which we get here, because we've always said that with
39:00
theirs you get a lot more detail. With the MHRA data we get absolutely
39:06
nothing. But it's not just the injections that you've noticed. And I know
39:12
that I'm going to hand over to Cheryl because she wants to ask you about
39:16
serious adverse reactions and also rem desevere, and there's so many questions we both
39:22
want to ask you. I think we're going to have to ask you to
39:24
come back if you'd agree to for a second time, because I want to
39:29
ask you also about antibiotics, which I've noticed that you've noticed, and I'm
39:35
feeling that that is a great significance. So I'll hand back across to Cheryl
39:39
to pick up where she left off, and then maybe if we've got time,
39:44
we can just briefly talk about the future. So over to Cheryl.
39:49
The cardiologist she spoke of a little while ago. These are doctors that are
39:52
seeing things that they don't normally see and yet are not noticing them and recording
39:58
them, or if anybody talks about these, it's always extremely rare, very
40:01
rare. I mean, I don't know how you classify rare, but it's
40:06
not the way that I classify rare. When we've seen this data. The
40:09
astrazenica vaccine was running at about one in two hundred and fifty three doses as
40:16
adverse serious adverse reaction, and Phiza in the UK was running at one in
40:21
five hundred and thirty five doses. So it's not rare, and it just
40:25
depends what that definition is. But when we go onto a cute renal failure,
40:30
when we've got remdesivia that, of course Fauci you mentioned was involved with
40:36
and his wife, then we've got remdesivir being given out with COVID shots,
40:43
with an iminomodulator, and banka mycin, which is obviously a serious antibiotic.
40:50
All of these things reduce immunity and they also have effects on the kidneys and
40:55
hepatic effects. So when you're seeing a cute renal failure, do you blame
41:00
the protocols that were being followed? Absolutely, I've something new coming out,
41:06
whether they died in hospital or not. And it's it's very difficult to see
41:10
because most people who die from acute renal failure, acute is sudden, right,
41:15
You didn't have a problem before. Now all of a sudden, you
41:16
have a problem and you die from it. But it still went up despite
41:21
the fact that you'd expect all acute renal failure desk to end up in the
41:24
hospital because somebody's kidney's not working. They degrade. It's like, oh,
41:28
I'm feeling terrible. I go to the hospital. Oh your kidneys are failing.
41:31
Oh you die right, So, but it's it's still up and the
41:36
fact that it's happening in hospital more than not in the marginal difference of data.
41:43
Let me let me forget about the data and just get to the point.
41:46
The United States has hospital protocols different from other places. I'm asking somebody
41:52
in Europe. I have a couple of people I've asked. I won't say
41:54
their name yet because they haven't agreed to do it. If they can show
41:59
a cute renal failure in the UK and in Europe different from the United States,
42:02
then we can show that the hospital protocols were different in the United States
42:07
and it was the hospital protocols that killed the people. We're not talking about
42:09
a few people. This is one hundred and fifty three thousand excess people in
42:14
the last three and a half years from a cute renal failure alone. That
42:16
should be the biggest single cause of death since over one hundred years from something
42:22
in the United States. And you know, I'll just say ed Dowd and
42:27
finance technologies will be coming out with the same study. We have a different,
42:30
different group than me. They're using a different database than I have,
42:36
and they have different people in methodologies that I'm using, and they came up
42:39
with the same number. It's the biggest It's the biggest story nobody's talking about.
42:44
And what is it you mentioned van so antibiotic that's vanko mice. They're
42:50
giving it perceptions the person is probably going to die anyway because their immune systems
42:53
shattered, and it's too late at that point. But it seems in the
43:00
records, and I have five, maybe six different patients records that's in the
43:06
CDC memorandum my second publication. They were given two were given barysittonive, two
43:12
were given rem deesvere, all five were given vankamizing and the timing at which
43:16
the liver enzymes and creatinine levels, the tests for kidney function and liver function.
43:23
It didn't seem to start failing until after the vankamize, but I don't
43:29
know is it vankamcin in combination with remdesivier or bear. You mentioned an immunium
43:34
modulator that would be bearrisitative as one of them. I believe you're talking about.
43:38
These were all incentivized for the hospitals. To use a twenty percent adder
43:44
on a million dollar hospital stay is an extra two hundred thousand dollars. The
43:47
pump remdesiveror through somebody's veins on simply a positive COVID test, even if they're
43:52
sitting there with ninety five percent oxygen levels and normal vital signs. And they
43:57
did do this, they did it to many patients. The important thing about
44:00
a cute renal failure is also that it's not just the old people dying.
44:06
This goes down into the twenty five to forty four range. I have new
44:08
slides I've generated. I just did one hundred and twenty one last night,
44:13
one hundred and twenty one different sets of graphs, each being six graphs per
44:19
set or three graphs percent depending on which slide it is. So that's like
44:23
four hundred different graphs I just generated for a cute renal failure. All the
44:28
way down at twenty five years old, there's one hundred percent increase, one
44:30
hundred percent, which totals one hundred and fifty thousand people. And the life
44:35
years lost for these young people with families, they have parents living, they
44:38
have children. They're being killed because they get a positive COVID test going in
44:44
the hospital and the hospital starts them on a drug protocol put out by the
44:46
NIH, And the NIH knows darned well these people are dying and they're still
44:51
killing people, and that's murder. Hope, I answered the question. Sometimes
44:55
I go on a little bit. We have a grateful for your answer.
45:00
In the UK, it was medaza lamb and morphine that was particularly used in
45:04
the care homes and that obviously that's a death road drug. And I don't
45:08
know whether much madazza lamb was used in the States, but not only was
45:14
it, a lot was ordered and they used two and a half times the
45:17
annual amount in about three to four months and basically at very high doses.
45:23
And why would you give madazza lamb and morphine, both respirator depressants for somebody
45:29
who've got a respiraity infection. It doesn't make sense. And those are the
45:35
products that we're very worried about. But in terms of what might be coming
45:38
our way, I know Debbie has major worries about banker iscin and how they're
45:45
even talking about pediatric doses of it, which sounds quite horrific to me.
45:52
I've listened to many of your interviews, John fascinated and I've been looking at
45:57
antimicrobial resistance, and I've been looking at the use of antibiotics, and I've
46:02
been looking at what we've been using in the UK. We do use vanko
46:07
myocin, but there's another one that I'm looking into that's part of the same
46:10
family. And the dangers of vanko myocin obviously are renal failure. And with
46:19
the agenda moving forward, and with all that you've seen with the whole COVID
46:24
narrative and the COVID data and the people associated to that data, I'm wondering
46:30
if what we're looking forward to is another pandemic, but this time of antimicrobial
46:37
resistance, where we're going to be looking at more mRNA shots coming down the
46:43
line for AMR probably mRNAs, more combination novel antimicrobials, which of course takes
46:52
into consideration not just antibiotics, but it takes into consideration anti fungals and anti
46:58
parasitics as well, so the whole family of antibiotics. And I don't know
47:04
noticing what you had noticed in that people were getting really sick and was that
47:08
the contraindication. I just wondered what your thoughts were with regards to moving forward
47:14
on antibiotics, because what we're seeing here seems to be a narrative that's pointing
47:21
towards Shigella, ecoli, cryptosporidium, water based wastewater, and clean water.
47:30
And we're looking at Ecoli being one of the most studied organisms in history,
47:36
but Shigella being particularly dangerous and a new variant that may require a new antibiotic.
47:43
What are your thoughts moving forward on that? Oh boy, the antibiotic
47:47
question. That's a tough one. There's just so much to it. And
47:52
I'm not a doctor, I'm not a scientist. I'm not a biologist.
47:54
I was given a combination of streptomycin and penicillin at four years old, and
48:00
I went completely deaf in my right ear. And that's how they learned you
48:04
can't mix those two. You'll cause small children to go deaf. Why did
48:07
they give me the shot Because they did not have a vaccine for the Hong
48:10
Kong flu in nineteen sixty eight, so they wanted to make money on injecting
48:15
something, so they injected that. That's that's where my antibiotic life starts.
48:23
I think this. I think antibiotics have saved my life a number of times
48:29
with strep, throat bronchitis, one hundred and four degree fever. There's a
48:32
place for them, and I believe strongly that antibiotics are important for the immune
48:37
system. The immune system, if you're vaccinated, is absolutely crushed. Your
48:45
bone, marrow and lymph proved that not only is at the beginning of the
48:51
cancers that I showed well, you know two years ago. In fact,
48:55
lymph node cancer is now a four hundred percent of normal in Massachusetts, but
49:00
everything else that we're talking about, traumacytepenia, you know, one would expect
49:05
and I thought, you're not making enough platelets. I said, platelet creation
49:09
or traumocyte creation is disregulated. I might have been wrong in that it's not
49:15
that you're not making enough, it's that your macrophages, certain white cells that
49:20
eat up your dying platelets are disregulated in that instead of eating the senescent or
49:25
the dying platelets every ten to twelve days, they die, right your platelets,
49:32
they're always being replenished. But if your macrophages are out of control and
49:36
start eating the healthy ones, that will cause traumocyte apenia. So the blood
49:43
and blood forming and creation of these cells that basically kill pathogens in your body.
49:49
There's T cells, B cells, lymphocytes, leucocytes, neutrophils, atosentophyls,
49:53
all these macrophages, all these weird names for white cell. Let's just
49:58
say white cells. The creation of white cells at the stem cell level is
50:01
being dysregulated. You're creating cells that you don't need, and you're not creating
50:07
cells that you do need. So now you're open to certain pathogens attacking you.
50:12
Shingles was on the rise after the vaccine. RSV was on the rise
50:16
after the vaccine. All kinds of stuff that were latent. They were latent
50:21
in individuals because those individuals had natural defenses for decades in their own bodies against
50:27
those things, and when their immune system was crushed by the vaccine, they're,
50:31
oh, you have antibodies against the spike protein. Now it's like,
50:35
oh great, but I don't need that because that's not even circulating in society
50:38
anymore. And you just crushed my immune system so I can't fight off other
50:43
things. So with any of these mRNA vaccines, the body is going to
50:46
be disrupted. It's not just about the spike protein. It's mRNA technology.
50:52
It was never safe. They brought it forward just they went past all the
50:57
regulatory normal licensing of many years. So yeah, the antibiotics, Thanko Mason,
51:05
is the last ditch effort to save somebody with sepsis, the multiple organ
51:10
failure from it, the adenovectavirus injections, So like astrosenica, they are also
51:20
responsible for thrombocytopenia as well. So it isn't just the mRNA. Obviously the
51:24
DNA ones go to mRNA, but the we have a court case over here.
51:30
I don't know whether you're aware of that, and that is under Consumer
51:35
Protection Act, so we basically saying it doesn't actually do what it says on
51:38
the tin. It's not safe and effective, and that's been shown and basically
51:44
they there are about four hundred and eighty cases in a yellow card of thromp
51:49
cytopenia and it kills about one in five unfortunately, so there's a court case
51:55
ongoing at the time. Yeah. Absolutely, thrombocytopenia is huge. This signal
52:00
on that across all the states that I have is very high, and there's
52:06
different kinds. And the problem is the government that's supposed to be about healthcare
52:14
and doing all this research is doing nothing because the signals are strong. I
52:19
prove that, for example, I'll use a cute renal failure again for an
52:22
example, one hundred and fifty thousand excess people and all it would take is
52:27
one man week for them to look in some files to figure out what is
52:30
the sequence of events with vital signs, medication being given, blood labs,
52:37
and the different things that are being caused in people sequal eye as people say,
52:43
it is not hard for them to find this. They're purposely not looking
52:46
and that means they're killing a lot of people through their inaction where they have
52:50
a legal duty to act concurrent with their inaction. Now back to tromocyte openia,
52:55
another signal they're not looking at it. They could study this. Is
53:00
it a lack of production of traumacytes or is it that the macrophages are eating
53:05
your good traumacytes so fast that you have low plate account And how is clotting
53:09
happening at the same time of not being able to clot? Now these are
53:15
things that they did exist. We had these names for very very very rare
53:19
things that are now happening frequently. And the doctors, most doctors have never
53:23
seen these things in their careers. Some have not seen something in ten thousand
53:29
patients, like a neurosurgeon doing a brain operation back in twenty twenty. Now,
53:35
this is how I know that, or how I believe that COVID causes
53:38
the same thing the vaccine causes. It's just so rare, there's no signal.
53:43
So I do believe COVID is a real disease, and I do believe
53:45
it's pro thrombotic. It causes clots, but very rarely. Otherwise it's just
53:50
a bad cold. A surgeon was operating and he was removing a clot in
53:54
somebody's brain. While he was removing it, he saw two forming right in
53:59
front of him. You've never seen that in thousands of operations. That's specific
54:05
to COVID. And then there are other things. But yeah, so they're
54:07
not studying it traumacyte opedia is frequent. There's vaccine induced thrombotic traumacytepenia, hepron
54:13
induced traumocyte openia. They're giving too much hepron because people are clouding, so
54:16
they're give them too much hepron. In the hospital, they get traumocyte opinia.
54:21
There's all kinds of reasons. Unfortunately, you don't have the detailed records
54:24
to figure out what is the root cause of this particular traumocyte opinion is it?
54:30
Does it present in porpora? You know, the red splotches on your
54:34
skin. That's extremely dangerous because if it's presenting on the skin, what's happening
54:39
in your body, in your organs, in your brain and your lungs.
54:44
Yep, So that's another one. I mean, I want to ask you
54:45
about long COVID. I want to ask you where flu went to this and
54:50
I know that Cheryl's got a load more questions for you as well. But
54:54
before we ask you if you would be happy to come back and talk to
54:58
us again, I want to ask you for people that are watching now,
55:02
because what we're seeing is a lot of people are saying to us, we're
55:07
looking back and we're seeing that our loved one, our mother, our father,
55:09
our brother, our sister was killed, was killed by the state.
55:14
We're seeing that now and it's very difficult for people to take a lot of
55:19
this data on board and this information on board, and we're still finding quite
55:24
a bit of resistance with families that find it too painful, too painful to
55:30
hear, and are still in denial. When do you think we will come
55:36
to the tipping point where people will realize what has gone on in the past
55:42
and what is still going on, and perhaps moving forward is going to come
55:46
again and hit us in a different way. What can we say to people
55:52
when they're saying, well, I know my friend down the road, her
55:55
family. They won't accept it, but I know that that person should have
56:00
come out of hospital and didn't. How do we tackle situations like that?
56:07
Yeah, so you said, I'm kind of a data guy, and we
56:10
talked about data a lot. I hate data. It's very little of what
56:14
I do. I'm a whole systems analyst. The whole system being the behavioral,
56:21
psychological, sociological, economic, finance, and then of course the biology
56:28
and stuff. I just don't even do it, and I'm looking at data.
56:30
How does it all play the cares actors, behavioral modification. The state
56:37
medical boards are coercing boards. You call it topping off. You get about
56:40
sixty percent of the doctors to comply. With solicitation, you get another thirty
56:45
percent with coercion. You get another five percent by making examples out of doctors
56:50
like Meryl Nass, John Lttel and others, and the five percent you suppress
56:55
on social media. Now, all this combines to make the average person out
57:00
in society a little bit shy also about confronting their own mortality and what they've
57:06
done to their family members, what they've done to their friends by saying you
57:08
should get the vaccine. So there's a little bit of a guilt and culpability
57:13
in each person. But I don't like to use broad sweeping statements, which
57:16
I just did. But when it comes to individuals, everybody's got a different
57:23
reason. And yeah, it's difficult to approach a family member. I have
57:28
cousins. One was doing horribly, she lost a lot of She's down to
57:32
I think under one hundred pounds. She was dying and they did save her
57:37
in the hospital after a year long battle. She got all her vaccines and
57:40
boosters and completely believes in it. Do I tell her? Do I say,
57:45
hey, cousin, you know I wrote this book. You should read
57:46
it. And this all has to do with a vaccine. It's tough.
57:51
It's tough to approach people that you know and say you did this to yourself,
57:54
but they didn't do it to themselves. That's the problem. They need
57:58
to be told. You're you're not fault for this. The government did this
58:01
to you, and they did it on purpose. So I mean, I
58:07
know what you're asking. It's hard to answer because it's individualistic. Each person
58:10
is different. I'm I can be brutally honest because that's been my personality my
58:16
whole life. I'm an engineer. Tell it like it is. I try
58:21
to use some There's a little trepidation and approaching some people, but I try
58:27
to just say, hey, you know, I don't care if you're going
58:30
to hate me, it doesn't matter. You need to hear this because you
58:32
know what, you might prevent them from getting the booster that kills them.
58:37
If you might lose a friendship, you might have a relative be angry at
58:43
you for a year not talk to you. But you're obligated morally to tell
58:49
them. And if they hate you so what, But the next time they
58:53
go in to get that shot, they might be thinking about what you said.
58:58
So be brave and help John. Where do we find you? There's
59:01
going to be a lot of people watching that because you have put out an
59:06
extraordinary amount of material. There's slide presentations, graphs, all of your evidence,
59:13
your book, your website. Just let everybody know. Before I throw
59:16
to Cheryl for her last word, let me ask you where we find you.
59:22
So the book can be found at THEREALCDC dot com in the United States.
59:27
Unfortunately, I don't have anything set up for Europe yet to sell the
59:30
book, which it's my fault. I have to figure that out. It
59:34
is sold on Amazon dot com and I was surprised that you even have a
59:37
book, and you know, I don't know how you got it. You
59:40
said, Amazon's like, oh, they'll ship there. So yeah, the
59:44
REALCDC dot com. The book is on Amazon, Barnes and Noble. Oh.
59:47
In Canada, it's on Oh, I forgot the name of that place.
59:52
It's on that big book sale place in Canada. Oh, I can't
59:55
believe it escapes me. I also have a website called via Vita. I'm
1:00:00
trying to move people away from it, but it still has a lot of
1:00:02
data and it has a lot of links. But if you go to the
1:00:07
real CDC dot com at the bottom, you'll see links to my podcast interviews
1:00:10
that actually directs to Via Vira Vita, which means the Way the Truth in
1:00:15
the Life John chapter fourteen, verse six. So that's a good one.
1:00:20
V I A v E R A v I t A dot com. I'm
1:00:22
prolific on Twitter at the at sign j O h N b e A U
1:00:28
d O I N s R John Bodwin SENR Facebook, I think John Paul
1:00:34
Bodwin. I don't do much there, but I'm trying to do more.
1:00:37
And that's oh rumble Channel. I just renamed my Rumble Channel the Real c
1:00:42
d C from via Via Vita, so now it's called the Real CDC.
1:00:46
I'm moving everything to the real CDC because it's easy, it's easy for people
1:00:50
to remember. So Rumble Channel, I'm going to try to start building the
1:00:53
Rumble Channel. Oh and on substack, cocanadashe on dot substack dot com,
1:01:00
CQUI n that subduct dot com. I'll start now. Don't stop, Please
1:01:07
don't stop, because without people like you, we wouldn't have this incredible wealth
1:01:12
of knowledge. And on that note, John, I'm going to thank you
1:01:15
so much for agreeing to join us, and I do hope you're going to
1:01:19
join us again because We've got so much to say. And I'm going to
1:01:22
give Cheryl an opportunity to a have her last word, but also to tell
1:01:27
you where did she get that book? Cheryl over to you me and my
1:01:30
book. Yes, I got it from Amazon US and had to pay some
1:01:36
postage, but at least they post it here. I can't remember exactly how
1:01:38
much it costs, but I thought it was well worth the value because we
1:01:44
found out that more than half a million people are killed by hospital protocols and
1:01:46
another half million have been killed by the COVID nineteen vaccine. From all the
1:01:51
evidence that's in this book, and the main strength that we have is in
1:01:55
evidence is in detail, is an understanding what's gone on, so that if
1:02:00
there are people out there who have become ill because of the vaccines, they
1:02:05
can actually do something, hopefully to help themselves. First of all, by
1:02:08
not having anything more no more mRNA whatever it is for. And on top
1:02:15
of that, there are things that people can do to try and alleviate themselves
1:02:22
from the damage that has been caused. And I just leave those thoughts with
1:02:27
you in terms of understanding what John has been saying. I thank John very
1:02:32
much and I hope to see him again and have another chat. And I
1:02:37
too want to thank you John so much, and I'm sure that we'll talk
1:02:40
again very soon. And if you like what the UK column are doing,
1:02:46
please share this video because this is vital information and whoever it goes to it
1:02:52
might just it might just save a few lives. This is really really important.
1:02:59
So on that note, I'd like to leave you as normal as I
1:03:02
always do, with grateful thanks and also your last word, and it's over
1:03:07
to you. Thank you, John, thank you very much for having me
1:03:12
and for this opportunity. I don't get to speak to a lot of people
1:03:15
in the UK very often, but I know you have American audience too,
1:03:19
So last words, it's over. It's been proven. I know I'm just
1:03:24
one guy, I'm not a doctor, but the people of the world,
1:03:30
for ten thousand years, however long we've been on the planet, have had
1:03:34
the ability to discern facts that are in front of us. And now,
1:03:37
for some reason, we abdicate that ability. To discern to somebody in a
1:03:42
white coat that the white coat is not going to save you. The information
1:03:47
is right in front of you. People are dying from this. It's clear.
1:03:52
I've proven it over and over with hard, conclusive evidence that would stand
1:03:55
up in any court. The CDC memorandum in publication is a notice of criminal
1:04:01
liability. It was served to the directors of the CDC andih FDA and their
1:04:06
deputy directors. They now are in a knowing state of mind, and if
1:04:12
they don't act to investigate, then they are guilty of the subsequent deaths,
1:04:15
and that is murder that happened to other people. But conclusive evidence is what
1:04:21
is presented. Somebody dies within five minutes or a couple hours, over and
1:04:26
over from the same thing. That is what I've proven. I don't need
1:04:30
a research paper, a peer review. I don't need somebody in a white
1:04:32
coat to tell me. So. I want to thank everybody for listening.
1:04:36
Use your own brain. This is hard, factual evidence. It's irrefutable.
1:04:42
That's the difference between what I do and a peer reviewed research paper that gets
1:04:46
bantered and argued and debated for the next ten years. That's not what I
1:04:50
do. I give you hard evidence you can make decision on your own.
1:04:55
So make that decision, and I strongly recommend you stay away from what government
1:05:00
tells you to do, whether it's rendesivere or a vaccine. Use your own
1:05:04
brain. Thank you very much. Appreciate everybody's time.