Stream.Transcripts/twitch/1960401379 (2023-10-25) - M.../1960401379 (2023-10-25) - M...


								WEBVTT


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								You schedule for 16 minutes next is going on French British Italian Japanese television


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								People everywhere are starting to listen to him. It's embarrassing


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								And everybody knows when dry ice mixes with water it makes a real spooky fog show them Scooby


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								Scooby Lou


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								Good evening ladies and gentlemen this is legal and biological I resisted slow noise information brief brought to you by a biologist it is the 25th of October 2023. Thank you for joining me


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								As usual tonight we are trying to break this limited spectrum of debate and this brilliant discussion within it


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								And we're trying to turn it around a little bit I hope we're starting to become successful to a certain extent on that regard


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								And I hope I'm starting to arm you with some of the basic arguments that you can take to your Thanksgiving dinner table


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								It's it's going to be a long slog though we're not going to win this year or we're not going to win next year


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								This may be the battle of our lifetime


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								Because it is not a matter of what's true that counts but is what a matter is perceived to be true


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								And I'm afraid that there has been a very concerted effort over many years to make sure that what is perceived to be true is indeed not the case


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								It's not true at all


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								And so that's where this you know don't take the bait on social media comes from


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								They are they are controlling us by our urges and leading us by our noses


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								And we have been fooled into solving this mystery about a gain of function virus that escaped or was released from somewhere in Wuhan, China


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								And who's responsible for covering it up who funded it who lied about it


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								And this is all one great big hoax


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								But by accepting the challenge of solving it we have accepted its premises


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								codified in the many books that have been released and will continue to be released


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								Intramuscular injection of any combination of substances with the intent of augmenting the immune system is dumb


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								And transfection is not immunization


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								There is an illusion of consensus that has been created by people on the TV and behind the scenes people that purport to be


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								dissidents and purport to be mainstream


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								And I think the best way to describe what is being done to us at the moment


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								Is to describe it as a sort of faith, a faith that is being protected by all these people


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								It is a faith in a novel virus


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								It is a faith in that millions have died


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								And millions have been saved or could have been saved depending on which narrative you choose


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								They could be saved by different things


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								Gain of function is a real thing and a virus will come again


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								And that's basically although these people have this wonderful diverse opinion


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								And all these diverse opinions about what the most important thing to consider is


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								None of them will challenge the tenets of this faith, none of them


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								And when they are challenged to address any of the parts of the faith they walk around it


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								All of them


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								Because again it is not a matter of what it is true that counts


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								But a matter of what is perceived to be true and their spectacular commitment to lies makes it very hard to see through


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								Because it creates an illusion of consensus, a bunch of people


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								A bunch of people that all agree about this one thing right here


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								And if they all agree about this story and they all agree about this faith


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								Then even though they seem to argue with one another, the show goes on


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								And we are now about to move into a new phase of the show


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								Where another aspect of the bifurcation is going to be brought together


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								So first they split us up on pre-existing fault lines of political socio-economic division


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								Based on this lab leak or natural virus narrative


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								And now they are going to slowly bring us together


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								With regard to the conclusion that some of the things that people said about the shots might have been correct


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								I want to call your attention to the last couple of days of shows


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								Because there were some pretty good home run shows with regard to Zuckerberg and Chan


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								And the Huberman Show


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								Talking about really how, sorry, how we are at this stage in our timeline


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								When gathering the data now seems to be the imperative


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								And so you can hear it all around the world, you can hear it from all these people all the time


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								It is to get the data


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								And so that's what Zuckerberg and Chan were talking about


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								And what Huberman was seemed to be almost submitting to their superiority


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								In terms of their vision and foresight into what shall come in the transgenic and trans-human future


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								It was pretty disturbing but it's definitely worth watching


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								And the reason why it's worth watching is because remember that Huberman is now part of this


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								hierarchy of social media icons that includes Joe Rogan and Lex Friedman


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								And Jordan Peterson and Brett Weinstein and Sam Cedar and Tim Poole


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								And the list is endless basically


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								And I have the feeling that eventually this guy Kevin McCurnan is going to go into that ecosystem


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								And circulate this same claim


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								Maybe he'll go on Joe Rogan next


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								But a couple days ago he was on a CHD program with my colleague Brian Hooker and Mary Holland, the President


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								And so I thought it would be useful to listen to this just to see what he presents


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								And how he presents it


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								And then I have a couple alternative videos that I wanted to watch


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								Afterward from somebody else that you're kind of familiar with


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								We might only watch one depending on how it ends up panning out


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								So let's go into this first


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								You can hear that my voice still needs quite a bit of rest


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								There's still some what I would call loose material on my vocal cords or in my voice box


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								That occasionally get in the way of breathing


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								They also occasionally make my voice less projecting


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								So I am working on getting a doctor's appointment


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								Don't need to type or send a lot of emails or anything like that


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								I'm definitely going to take care of my voice as soon as I can


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								Because I think in the long term it might be good to have these vocal cords intact


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								So let's get out of here and let's play this one


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								I hope it's not too loud


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								We're going to go a little forward here


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								Oh, we're going to go a little forward here


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								Powerful speakers like Bearish Arab


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								Good morning children's health defense today is Tuesday October 24th


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								And we have a very exciting guest with us today


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								Kevin McCurnan, scientist who's going to be talking with us about the DNA contamination


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								That's been discovered in COVID-19 vaccines


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								Pfizer's but also others will be joined by our chief science officer Brian Hooker


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								And we will be talking with Kevin


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								Part of the context for this show is an article that defender published on Friday last week


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								Regarding the fact that Health Canada, the main health agency in that country


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								Has acknowledged the DNA contamination in Pfizer's COVID-19 shots


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								This is the first time that a government has acknowledged this research


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								This is very important because it suggests that now governments are on notice that they have to do something about this


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								What Canada has said so far is they've looked at this and believed that the benefits still outweigh the risk


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								But without any comprehension of the risks that seems rather specious


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								It's our privilege to have Kevin here with us to talk specifically about his research


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								Really one of the most dramatic elements of this is that inside this DNA plasmid contamination


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								Our sequences from Simeon virus 40


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								SB 40 was brought into the human population through the oral polio vaccine back in the 1950s


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								Ironically today is world polio day


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								And not in any way to diminish the significance of polio as a worldwide disease 50s


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								Ironically today is


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								World polio day


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								And not in any way to diminish the significance of polio as a worldwide disease


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								But the Simeon virus 40 now has robust science behind it


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								Since the 1970s


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								Proving that there's a very strong association between Simeon virus 40 and many forms of cancer and other diseases


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								So with that, I'm very happy to go over to our conversation with Kevin McCurnan and Dr. Brian Hooker


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								Welcome Dr. Kevin McCurnan and Dr. Brian Hooker


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								I'm really thrilled to have both of you here with us


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								So Brian, you're of course our science director here at Children's Health Defense


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								On Kevin, you have an incredibly impressive background in science


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								Would you just give us the quick highlights so that our viewers know how extensive your scientific credentials are?


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								Certainly, well, I guess I'll shoot myself in the foot and tell you I dropped up a PhD program


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								So I never got my doctorate


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								But I have been working in the genomics field for 25 years now


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								I started on the Human Genome Project down at with Eric Lander down at the White Institute at MIT


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								Was managing the research and development team there through the scale up of the Human Genome Project


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								And then after that spun a bunch of companies at least Adjunct Court is one company we spun out of MIT


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								That built magnetic DNA purification tools which are made to play role in the story


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								And we also built some PCR tests there and had a genome center


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								That company got acquired by Beckman Coulter


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								And then we spun another company out called Adjunct Court Personal Genomics


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								That built the solid sequencer and that one got acquired by Applied Biosystems


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								And I worked with Applied Biosystems for five years


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								Building various DNA sequencers including some semiconductor systems


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								So I'd have done some clinical sequencing


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								We did a, they had a clean lab for a while that was doing sequencing of epilepsy and mitochondrial disease kids


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								And that's kind of where I first ran into a lot of parents telling me about vaccine injuries


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								And then we went into the cannabis arena where we were sequencing cannabis genomes


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								Because many of the epileptic parents were looking for safe and effective cannabidiol


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								Which was helping with seizures


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								So we got interested in that field and somehow I ended up here sequencing a vaccine by mistake


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								And found something that people seemed to be interested in


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								So it's a long winding road to where I am now


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								So tell us about this study that you did


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								Where I think you were using these vials of the Pfizer and Moderna vaccines as controls


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								Is that right? And you've stumbled on an incredible important finding


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								Yeah, so we were doing, we're trying to sort out the pathology of a viroid


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								That's devastating the cannabis field


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								So we were doing RNA sequencing and the pipeline broke


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								So if I wrote is a naked piece of RNA that is infectious in itself, it doesn't have any protein code around it


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								So you can synthesize these and actually put them into plants and they create some RNA interference


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								And there's some pathology that results from this


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								So they don't affect mammals but they infect plants and they can be devastating


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								And it's probably knocking down the yields in plants like 40% in this industry


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								So everyone's trying to understand this 256 letter piece of sequence


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								That's a pathology in plants at least in the cannabis plant right now


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								So when we were sequencing the RNA of the cannabis genome to see what was happening when it got infected


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								We started getting all this sequencing data back that didn't look like it was concentrated on genes


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								And that's a sign that your RNA purification system might be broken


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								So the way to solve that and figure that out is to spike in a pharmaceutical grade RNA


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								To see if you find out where it's broken


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								And I figured, well, these are probably pharmaceutical grade


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								If they're injected into people, I'll use one of those


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								It has a poly-A tag on it that should stick to our magnetic beads


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								And it should tell us if we have an RNA problem or something else is wrong


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								But I didn't expect to get out of the experiment was the contaminant that I then was pregnant with


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								To tell the world about that, okay, it worked as a control


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								It taught us that we had a DNA problem in our RNA sequencing pipeline


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								But now I see there's a plasmid in here that I can't hide from


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								And I've got to put it public as quickly as I can, as responsibly as I can


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								And so we chose to do that by releasing all of these really rapid sub-stack articles


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								Because you just couldn't see this getting through the peer review process in a timely manner given the political nature of it right now


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								I'm ignorant, I'm not a scientist


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								Walk us back a little bit, explain to our viewers what is a plasmid


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								What did you find here, what does that mean for us?


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								So when the clinical trials, I want to be clear, this is mostly pertaining to Pfizer


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								We sequence Pfizer and Moderna, but there's different background to them


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								So Pfizer's trial started by generating, you need to make this RNA


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								In order to make this RNA, you need to feed a DNA template to read the RNA from


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								So it's called an in vitro transcription reaction


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								You present an RNA polymerase with a piece of DNA and it starts making RNA off of it


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								It's kind of like, you know, it's the ink for your Xerox machine, if you will


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								So they started the clinical trial with DNA that was amplified with PCR


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								Which is really clean DNA, because when you amplify it, it raises the amount of DNA from background, a million full


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								So there's no residual background, you get a really clean piece of DNA that you can make your RNA from


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								That was what the trial was run out, it's called process one


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								Resif Levy and Josh Goodscow have a good paper on this and the BMJ


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								Then after the trial was done, they did a debate and switch and they changed the manufacturing process for scale-up


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								By taking that piece of DNA that they use that they PCR'd and uses a template in process one


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								They plugged it into a bacterial clasmid with such a circular piece of DNA


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								That allows something that allows a bug like E. coli to replicate it every 30 minutes


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								That means they can have an infinite supply of their DNA


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								They just have to keep growing the E. coli day-to-day and they don't ever have to use PCR again


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								So it's a real massive cost reduction for them


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								But it comes with some additional risk is that you now have this DNA being replicated in the E. coli


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								And it's not good to inject people with E. coli, so you have to get the DNA out of E. coli


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								And the process of getting that DNA out of E. coli comes with inherent contaminants that weren't in the original trial


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								The plasmid DNA is one of them, which is a large 7,800 base pair piece of DNA


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								And there's also the potential for endotoxin to come through from the E. coli


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								So there's a material difference between the trial and what people actually got


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								And that's an important part of the story that everyone needs to know


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								Now what we're trying to do is figure out what is the consequence of this plasmid DNA being in there


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								They knew it was there, they tried to get rid of it by chewing it up with an enzyme


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								But they didn't get rid of it completely, they got it halfway chewed up


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								Why didn't they get rid of it completely?


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								I mean, they use an enzyme called DNase and DNase breaks down DNA


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								Why wouldn't that completely eliminate it? Two questions, why wouldn't that completely eliminate it?


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								And why didn't FDA approve both processes?


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								They're both a process for the proof of principle as well as the process for production


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								Or were they involved in the second part?


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								So I'll answer the second part first, which is that there was some discussion in the EMA


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								I don't know what's happened at the FDA because we have less authority there


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								There's some information at the EMA that I'm superimposing on the FDA in Health Canada


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								Because I think similar things may occur there


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								But at the EMA, they had an equivalency study that they were supposed to do


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								Measuring 252 patients done with process 1 and process 2


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								And as best we can tell that data was never matured and was never required for release


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								They asked of it, but when Pfizer couldn't produce it, they kind of looked the other way


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								So Josh has a good write up on that on Twitter


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								And I'll point you to his work and Retsus Levy's work on this


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								But your first question, which is why isn't the DNase killing this?


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								It comes down to I think two reasons


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								One, the way that they're measuring what's there has some blind spots


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								And the second thing is they probably didn't anticipate that the modifications they made to the RNA


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								Inhibit the DNase from doing its job


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								So when they do this in vitro transcription reaction


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								And they make this RNA, they put in a different nucleotide


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								Notice N1 nucleosuduyridine


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								So this altered nucleotide is actually what really got the attention of the Nobel Prize


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								They put in a different nucleotide so that the RNA was less labile to an RNA's L that's in the human genome


								24:41.540 --> 24:44.540

								So the human body makes RNases that destroy RNA


								24:45.540 --> 24:48.540

								You know, the way RNA behaves is like your DNA, your DNA is like your hard drive


								24:49.540 --> 24:53.540

								Your RNA is like the task manager of all the programs that are opening and closing off that hard drive


								24:54.540 --> 24:58.540

								So the cell needs to have a system to not only turn a gene on, but to turn it off


								24:59.540 --> 25:01.540

								If it can't turn it off, then you have a problem


								25:02.540 --> 25:07.540

								So the way a lot of these get turned off is there are RNases that make sure that when a gene is expressed


								25:08.540 --> 25:10.540

								It's only expressed for a certain period of time that gets decayed


								25:11.540 --> 25:13.540

								But they put in this other base that stops that process from happening


								25:14.540 --> 25:16.540

								So that the RNA doesn't degrade, it's red or yes


								25:17.540 --> 25:19.540

								They put in something that turned off the off switch, is that correct?


								25:20.540 --> 25:22.540

								Yes, the RNA is harder to degrade


								25:23.540 --> 25:27.540

								And they wanted that so they ensured they got production of spike protein long enough to matter


								25:28.540 --> 25:30.540

								And there's a big debate as to whether it's too long right now


								25:31.540 --> 25:34.540

								Because we're finding this RNA stick around for way too long


								25:35.540 --> 25:40.540

								They thought it was only 48 hours, people can sequence out of plasma 28 days later, it's in breast milk now


								25:41.540 --> 25:44.540

								It's really a big train wreck in my opinion, they didn't need that


								25:45.540 --> 25:51.540

								But because of that base, that base also is published to radically change the melting temperature of DNA


								25:52.540 --> 25:56.540

								That means that it's much stickier, it's much harder to peel apart from DNA


								25:57.540 --> 26:02.540

								I think Colin Parr has a paper on this showing, if you just put four of these nucleotides into 25


								26:03.540 --> 26:07.540

								It raises the temperature 9C, the melting temperature, that's an enormous melting temperature


								26:08.540 --> 26:10.540

								For four bases of these things, yeah


								26:11.540 --> 26:15.540

								So that means that this RNA is extraordinarily sticky


								26:16.540 --> 26:19.540

								And that means it's very likely that it's making RNA DNA hybrid


								26:20.540 --> 26:23.540

								That when the RNA polymerase is copying the RNA off the DNA


								26:23.540 --> 26:28.540

								What you end up with is a triple helix, you end up with RNA kind of tangled up with DNA


								26:29.540 --> 26:32.540

								And a nucleus doesn't know how to get rid of the DNA in that context


								26:33.540 --> 26:35.540

								And this is really evident actually in Moderna's process


								26:36.540 --> 26:41.540

								Moderna, if you look at our paper, there's a hundredfold more spike DNA contamination than the plasma DNA


								26:42.540 --> 26:45.540

								The backbone that doesn't have any RNA similarity


								26:46.540 --> 26:52.540

								So that's a real clear set sign that the nucleus can destroy the DNA that doesn't have any complementary to RNA


								26:53.540 --> 26:58.540

								But it can't destroy the DNA that has complementary to the RNA that they're making


								26:59.540 --> 27:02.540

								So there's something I'd try to get rid of the DNA in that context


								27:03.540 --> 27:05.540

								And this is really evident actually in Moderna's process


								27:06.540 --> 27:12.540

								Moderna, if you look at our paper, there's a hundredfold more spike DNA contamination than the plasma DNA


								27:13.540 --> 27:15.540

								The backbone that doesn't have any RNA similarity


								27:17.540 --> 27:22.540

								So that's a real clear set sign that the nucleus can destroy the DNA that doesn't have any complementary


								27:23.540 --> 27:28.540

								to RNA, but it can't destroy the DNA that has complementary to the RNA that they're making


								27:29.540 --> 27:34.540

								So there's something I think they didn't see and anticipate because they changed this base


								27:35.540 --> 27:39.540

								They didn't realize the enzymes they typically used to get rid of this contaminant are no longer functional


								27:40.540 --> 27:43.540

								And so they now have to probably engineer different enzymes for this


								27:44.540 --> 27:50.540

								And DNase XT is a good idea, maybe T5, there's a host of these nucleases that might do a better job at this


								27:50.540 --> 27:54.540

								But I think with the Warp Speed program they didn't have time to really investigate this


								27:55.540 --> 27:58.540

								So that's one reason why the DNA is still there, there's a second reason


								27:59.540 --> 28:05.540

								The tools that you use to measure this differ based on the size of the DNA that's around


								28:06.540 --> 28:15.540

								So if you use something like barometry, this is a tool that uses a dye that is an intercalating dye that binds to like the minor groove of DNA


								28:16.540 --> 28:20.540

								These tools will measure DNA as small as like 5 to 10 bases


								28:21.540 --> 28:25.540

								It just has to be complementary at room temperature, that can be a 10 base pair piece of DNA


								28:26.540 --> 28:29.540

								You can get some cybergreen signal from it, a ribo green signal from


								28:30.540 --> 28:33.540

								QPCR needs at least 100 bases to amplify


								28:34.540 --> 28:36.540

								So all the DNA that's smaller than 100 bases, it can't see


								28:37.540 --> 28:42.540

								So they're using QPCR to monitor the DNA, they're using forometry to measure the RNA


								28:43.540 --> 28:48.540

								They're kind of playing some games there because they want to get really high RNA numbers and really low DNA numbers


								28:49.540 --> 28:55.540

								The EMA regulations aren't really a fixed amount of DNA, they're a ratio of how much RNA you have to how much DNA


								28:56.540 --> 28:59.540

								They're using two different processes to measure the DNA and the RNA


								29:00.540 --> 29:06.540

								But if I understand you correctly, they could be using one process for both or they could use both processes for both


								29:07.540 --> 29:08.540

								Absolutely, in fact


								29:09.540 --> 29:17.540

								That's absolutely right and I think anyone who's familiar with these bench tools knows the fact that they're deviating this is a game


								29:18.540 --> 29:22.540

								Because they had to make PCR primers to measure the spike DNA


								29:23.540 --> 29:25.540

								And all they have to do is change the polymerase to measure the RNA


								29:26.540 --> 29:31.540

								And they didn't do that, they opted to go get a whole other assay with a different instrument, with a different


								29:32.540 --> 29:36.540

								Forometry based readout to measure the RNA, they bent over backwards to measure the RNA differently


								29:37.540 --> 29:42.540

								They already had all the primers and tools, they needed to measure it with the PCR assay, they're using to measure the DNA


								29:43.540 --> 29:45.540

								You just swap the polymerase out and you get the answer the same day


								29:46.540 --> 29:48.540

								You did suggest gamesmanship, is that correct?


								29:49.540 --> 29:50.540

								And tend to deceive


								29:51.540 --> 29:53.540

								And tend to deceive, okay, got it


								29:54.540 --> 29:58.540

								And this data that you uncovered has been replicated around the world, is that right?


								29:59.540 --> 30:04.540

								Yes, many labs have now, so we put the primers public on our sub stack and in preprints


								30:05.540 --> 30:08.540

								And now people can just order those from IDT and make their own primers


								30:09.540 --> 30:13.540

								We have shipped Oslo primer lots that we have here when people didn't want to wait for IDT to remake these


								30:14.540 --> 30:20.540

								It can take IDT maybe a couple weeks sometimes to make these, so when people urgently want them, we'll ship them vials of our primers


								30:21.540 --> 30:26.540

								So Phillip Bockholz has confirmed this work by using our primers down in South Carolina


								30:27.540 --> 30:30.540

								He also went on to do Oxford Nanopore sequencing to confirm our work


								30:31.540 --> 30:35.540

								Just not to trust what we told him was working, he was doing what our primers were doing, he said alright


								30:36.540 --> 30:38.540

								Your primers clearly give me signal on my vaccine lots


								30:39.540 --> 30:43.540

								I'm now going to sequence them and make sure I can find the sequences of your primers inside my vials


								30:44.540 --> 30:49.540

								And he went and did that and confirmed that the DNA that he actually has in his vials matches the primer sequences we gave him


								30:52.540 --> 30:56.540

								Dr. Sin Lee did this at Milford molecular was saying our sequencing


								30:56.540 --> 31:01.540

								And he was doing what we were doing, we were doing what we were doing, we were doing what we were doing


								31:02.540 --> 31:07.540

								We were doing what we were doing, we were doing what we were doing, we were doing what we were doing


								31:08.540 --> 31:11.540

								Your primers clearly give me signal on my vaccine lots


								31:12.540 --> 31:16.540

								I'm now going to sequence them and make sure I can find the sequences of your primers inside my vials


								31:17.540 --> 31:22.540

								And he went and did that and confirmed that the DNA that he actually has in his vials matches the primer sequences we gave him


								31:23.540 --> 31:29.540

								I find that a very strange statement because why would you look for the primer sequences in the vial?


								31:31.540 --> 31:36.540

								If you're using nanopore, why wouldn't you just get all the sequences out of the vial?


								31:38.540 --> 31:41.540

								If you're using nanopore, I don't even know why you need to look what


								31:45.540 --> 31:50.540

								I don't know, the primers are supposed to be a very tiny probe for a longer sequence


								31:52.540 --> 32:05.540

								So I don't know how confirming that the primers are in the vial is any different than just confirming that there's DNA in the vial using nanopore without using his primers


								32:08.540 --> 32:19.540

								Or does he just mean that like as an extra control the actual primer sequence is actually in the bottle along with all the extended sequence that comes along with it, I assume?


								32:20.540 --> 32:25.540

								It seems like a weird statement, but you know, I'm not a molecular biologist. Maybe it makes more sense to somebody like Kevin


								32:27.540 --> 32:32.540

								Dr. Lynn, Dr. Sin Lee did this at Milford Molecular with Sanger sequencing


								32:33.540 --> 32:40.540

								He amplified, he made his own primers and he amplified, he emplied some large fragments to like 366 base pair of fragments to show that there's bigger fragments in there


								32:41.540 --> 32:44.540

								And Sanger sequenced those to prove that it's in fact in the vials


								32:45.540 --> 32:53.540

								And now the most recent study, I heard of one in Germany, I don't have a date of one in Germany, but Bridget Koenig claims to have found it in four vials out there as well


								32:54.540 --> 33:08.540

								And so what I'm interested in is the argument that I see forming here is PCR can find in theory a single molecule of DNA


								33:09.540 --> 33:25.540

								And so PCR may be able to find a very tiny amount of DNA which is lower than the agreement said


								33:27.540 --> 33:35.540

								And if we are essentially just saying, yeah, there's DNA in the vial and Pfizer can say, well, yeah, I guess there is some DNA in the vial but it's not too much


								33:36.540 --> 33:41.540

								Or they can say, well, yeah, but there's DNA in that stuff too and there's DNA in that stuff too


								33:42.540 --> 33:49.540

								So what difference does it make if there's a little DNA in this stuff? I mean, I understand the argument here that this shouldn't be there but


								33:51.540 --> 34:02.540

								We are being tempted to jump on this as if it's the magic answer to why everything went wrong and how we can now stick the knife in


								34:03.540 --> 34:16.540

								And we're putting all of our eggs in the basket of Kevin McCurnan that he's right that his measurements of vials are right


								34:17.540 --> 34:31.540

								And that nobody's gonna debunk this in a couple weeks by saying that, well, his primers weren't very specific or his PCR reaction doesn't isn't up to snuff because of this reason or because of that reason


								34:33.540 --> 34:42.540

								We have to be very, very careful here because there's a million reasons not to think that regular old transfection


								34:43.540 --> 34:47.540

								Regular old transfection was not a good idea now what


								34:49.540 --> 34:51.540

								This is a compounding problem


								34:52.540 --> 35:01.540

								And it's not being explained as a compounding problem although I did catch him a couple pages ago saying that the RNA stays around as a result of the


								35:02.540 --> 35:09.540

								N1 methyl pseudo uridine whenever the chemical alteration is and that he said that's a big train wreck


								35:11.540 --> 35:14.540

								Now I want you to think very carefully about this because


								35:18.540 --> 35:27.540

								It should really be a sum total story about what's wrong with transfection in healthy humans but even the


								35:28.540 --> 35:37.540

								Problem of the chemical alteration of the RNA which he came on my stream twice to talk about has almost completely been left out of this narrative


								35:39.540 --> 35:42.540

								Except characterized as a pretty big train wreck and we'll move on


								35:48.540 --> 35:51.540

								And there's a reason for that because this is a play


								35:52.540 --> 35:58.540

								And we have to be very careful about what the play is and who the bad guys are or who the people who know what the you know


								35:58.540 --> 36:01.540

								It could be that Kevin is just trying to do his best


								36:02.540 --> 36:04.540

								You know he was just trying just needed a


								36:05.540 --> 36:07.540

								Apolly a RNA


								36:08.540 --> 36:11.540

								Control to troubleshoot his problem


								36:12.540 --> 36:15.540

								And lucky for him somebody sent him a couple vials of


								36:17.540 --> 36:19.540

								Vaccine without ice buckets


								36:20.540 --> 36:26.540

								And he decided to use it as an RNA control which meant that it was going to get sequenced


								36:27.540 --> 36:31.540

								And as a result he found the plasmid


								36:32.540 --> 36:37.540

								And so he feels obligated to tell everybody I mean unfortunately you know he didn't mean to do it


								36:40.540 --> 36:44.540

								He's not an anti-vaxxer he just happened to find the DNA there


								36:45.540 --> 36:51.540

								So he feels the obligation to report it he did it pre-print because you know I mean how long is it going to take to go through peer review?


								36:54.540 --> 36:59.540

								But the RNA was chemically altered and codon optimized and that's a complete train wreck by the way


								37:00.540 --> 37:02.540

								I heard it


								37:03.540 --> 37:07.540

								There's a group in Japan Hiroshi, Arkawa I think maybe from Lincoln's name


								37:08.540 --> 37:13.540

								But they've been doing some work on this as well they've reassembled our data and been looking at some PCR protocols


								37:14.540 --> 37:20.540

								But the most recent one is out of David Speakers work out in Ontario where he's got the largest study to date


								37:21.540 --> 37:27.540

								He went through 27 vials and he even did some XBB 1.5s and those still have the DNA in them


								37:29.540 --> 37:33.540

								Now there's two different methods that we used in the paper with David just to try to emulate what Pfizer's doing


								37:34.540 --> 37:38.540

								As we measured it with QPCR in which case the DNA is under the limit on everything he looked at


								37:39.540 --> 37:41.540

								A couple of them are getting really close to the line


								37:42.540 --> 37:44.540

								That limit is somewhat arbitrary and we'll touch on that


								37:45.540 --> 37:48.540

								Then he also measured it with fluorometry to show that they're like a hundred foot over the line if you pick a different tool


								37:49.540 --> 37:54.540

								To really emphasize that this game of cherry picking different methods is a racket


								37:55.540 --> 37:59.540

								And that you can get vastly different numbers if you measure this thing with different tools


								38:01.540 --> 38:07.540

								But I think the interesting part of David's study is they took the vaccine lots sorted them based on DNA quantity


								38:08.540 --> 38:16.540

								And then Jessica Rose dug in to VAERS and showed that there are higher adverse events reported in VAERS


								38:17.540 --> 38:19.540

								The lots that have higher amounts of DNA


								38:20.540 --> 38:22.540

								It's a small data set, there's a lot of confounders there


								38:23.540 --> 38:28.540

								It's really just a hypothesis, we have to study more lots to make sure that there aren't other confounders that are skewing that association


								38:29.540 --> 38:31.540

								But it does seem to line up with Philips data


								38:31.540 --> 38:35.540

								He has numbers that are over the limit and have high adverse events


								38:35.540 --> 38:37.540

								We had numbers over the limit that have high adverse events


								38:38.540 --> 38:43.540

								And there's another lot that was recorded in some EMA documentation


								38:44.540 --> 38:49.540

								FL 0007 that has really high adverse events and has really high DNA as well


								38:50.540 --> 38:54.540

								So there's a couple other pieces of data that aren't in our paper because they were done at other laboratories


								38:55.540 --> 38:59.540

								That reconfirm at least with Pfizer more DNA is trending with more adverse events


								39:00.540 --> 39:02.540

								We're not seeing that with Moderna, which is interesting


								39:03.540 --> 39:07.540

								The correlation seems to go the other direction there and they are doing a better job getting rid of it


								39:08.540 --> 39:10.540

								They're probably at a log scale lower amounts of DNA


								39:11.540 --> 39:15.540

								So they may be below the amount that matters and something else is driving their adverse events


								39:16.540 --> 39:22.540

								We've found and confirmed in several different labs including Phil Buckholt's labs and Sinley's labs


								39:23.540 --> 39:26.540

								You've confirmed the presence of double-stranded DNA


								39:27.540 --> 39:31.540

								And sizable quantities, I mean we're talking about nanogram per milligram quantities


								39:32.540 --> 39:35.540

								Or hundreds of nanogram per milligram quantities of DNA


								39:36.540 --> 39:41.540

								First of all, what are the implications of just having double-stranded DNA in those vials


								39:42.540 --> 39:46.540

								And medically and then second of all, what is in that DNA?


								39:47.540 --> 39:49.540

								I mean, what is hiding in that DNA?


								39:50.540 --> 39:52.540

								You know, what elements do we need to be concerned about?


								39:53.540 --> 39:58.540

								Well, hiding is a good point because I do think there's been some intent to deceive here as well


								39:59.540 --> 40:03.540

								So, particularly on Pfizer's behalf, if you were to take the DNA sequence


								40:04.540 --> 40:06.540

								Which apparently they did give the sequence to regulators


								40:07.540 --> 40:09.540

								But they only annotated certain pieces of it and not others


								40:10.540 --> 40:15.540

								And that's very bizarre because if you take their sequence and plug it into a standard software tool like snap gene


								40:16.540 --> 40:17.540

								It will annotate everything


								40:17.540 --> 40:22.540

								So someone had to actually go and delete these annotations and then can something to the regulators


								40:23.540 --> 40:25.540

								And the piece that they deleted, I think, is the most controversial piece


								40:26.540 --> 40:31.540

								It's this SV40 promoter that is known to have a nuclear targeting sequence in this


								40:32.540 --> 40:36.540

								This is a tandem repeat of 72 bases, about 144 bases in size


								40:37.540 --> 40:40.540

								That binds transcription factors and drives any DNA attached to it into the nucleus


								40:41.540 --> 40:44.540

								This is in the answer of the SV40 promoter


								40:44.540 --> 40:53.540

								SV40 was used in the SV40 Ori, the promoter, and but they never reported the enhancer's presence, is that correct?


								40:54.540 --> 40:56.540

								They didn't report any of the SV40 components


								40:57.540 --> 40:59.540

								In fact, I can pull up what they did report here


								41:00.540 --> 41:02.540

								What you see on the right is what they presented to the EMA


								41:03.540 --> 41:04.540

								I suspect this is what went to Health Canada as well


								41:05.540 --> 41:07.540

								And there's somewhat shocked by this from the most recent email I saw from them


								41:08.540 --> 41:13.540

								But you'll notice it annotates the spike protein, the Ori, the kenamycin gene


								41:14.540 --> 41:19.540

								It has this five base pair cut site down here that linearizes the plasma


								41:20.540 --> 41:21.540

								A couple other small pieces


								41:22.540 --> 41:25.540

								If you take their sequence and just shove it into something known as snap gene


								41:26.540 --> 41:28.540

								It annotates all the stuff automatically over here


								41:29.540 --> 41:30.540

								It's SV40 just pops out


								41:31.540 --> 41:33.540

								I didn't find SV40, snap gene found it


								41:34.540 --> 41:35.540

								I'm going to pull this back


								41:36.540 --> 41:41.540

								So on the right, the Ori and the Kan are, and the S protein explained to us


								41:42.540 --> 41:44.540

								What is that showing us on the right?


								41:45.540 --> 41:49.540

								And then what did they have to take out to get to what you showed us through snap chain on the left?


								41:50.540 --> 41:53.540

								Okay, so the bacterial origin of replication is here in blue


								41:54.540 --> 41:57.540

								So when you put this in a coli, it will double with the coli


								41:58.540 --> 42:00.540

								It probably runs the copy number to 50 to 100 copies in the cell


								42:01.540 --> 42:02.540

								And then the cells double over 30 minutes


								42:03.540 --> 42:04.540

								So it's a great Xerox machine for DNA


								42:05.540 --> 42:08.540

								But to make that happen in a coli, you have to put a kenamycin resistance gene in there


								42:09.540 --> 42:11.540

								So that only the coli cells that have the plasma survive


								42:12.540 --> 42:13.540

								That way you knock out all the background


								42:14.540 --> 42:15.540

								So this is the kenamycin gene


								42:16.540 --> 42:18.540

								Now this kenamycin gene won't work on its own


								42:19.540 --> 42:20.540

								It needs a promoter that they've materially omitted here


								42:21.540 --> 42:22.540

								Oh, interesting


								42:23.540 --> 42:24.540

								That's missing


								42:25.540 --> 42:26.540

								The graph on the right seems very strange


								42:27.540 --> 42:28.540

								Because that kenamycin wouldn't work without a promoter


								42:30.540 --> 42:31.540

								Correct


								42:31.540 --> 42:33.540

								The other thing about the SV40 promoter is it is active in mammalian cells


								42:34.540 --> 42:36.540

								And you really don't want mammalian promoters in any injectable


								42:37.540 --> 42:39.540

								They don't need this because they have


								42:40.540 --> 42:42.540

								If you look very carefully here


								42:43.540 --> 42:46.540

								There's also an AMP-R promoter that's kind of obscured over here in the left


								42:47.540 --> 42:49.540

								That's what Moderna uses the drive to kenamycin gene


								42:50.540 --> 42:52.540

								Pfizer has it too, they just happen to also have this mammalian promoter


								42:53.540 --> 42:54.540

								That is superfluous and shouldn't be there


								42:55.540 --> 42:57.540

								And they know it because they deleted it from the annotation


								42:58.540 --> 42:59.540

								That's an intent to deceive, they actually


								43:00.540 --> 43:01.540

								I believe so


								43:02.540 --> 43:04.540

								Because any annotation tool that annotated this plasma


								43:05.540 --> 43:06.540

								That got down to T7 promoters


								43:07.540 --> 43:08.540

								It found the bacterial origin


								43:09.540 --> 43:11.540

								It found, I think this F1 origin down here


								43:12.540 --> 43:13.540

								It would have found the SV40 origin


								43:15.540 --> 43:17.540

								So this was deleted, this was deleted


								43:18.540 --> 43:22.540

								Let's just do a little background gentlemen on SV40


								43:23.540 --> 43:25.540

								Maybe Brian, can you give us a little bit of background in the


								43:26.540 --> 43:28.540

								Vaccine context of what SV40 really is


								43:30.540 --> 43:32.540

								And Kevin, correct me if I'm wrong


								43:33.540 --> 43:41.540

								But the SV40, Simeon Virus 40, was an artifact of the polio vaccine


								43:42.540 --> 43:44.540

								The oral, the live polio vaccine


								43:46.540 --> 43:48.540

								In the 1950s and 1960s


								43:49.540 --> 43:53.540

								And it is oncogenic SV40 itself


								43:54.540 --> 43:59.540

								As the virus is associated with certain tumors, certain forms of cancer


								44:00.540 --> 44:02.540

								Certain aggressive forms of cancer


								44:03.540 --> 44:07.540

								And that it was a contaminant in the oral polio vaccine


								44:08.540 --> 44:10.540

								The live virus polio vaccine for many, many years


								44:11.540 --> 44:15.540

								And so having these elements, including the SV40 promoter


								44:16.540 --> 44:20.540

								Would in itself, I believe, would be oncogenic


								44:21.540 --> 44:26.540

								And then that SV40 element, that 72 base pair element


								44:27.540 --> 44:31.540

								Has been shown to tie with other oncogenes in vivo


								44:32.540 --> 44:36.540

								And act as an enhancer, enhances its ability to form cancers


								44:38.540 --> 44:40.540

								So I'm very new to SV40


								44:41.540 --> 44:43.540

								I've been learning this just in this last year


								44:43.540 --> 44:44.540

								So what's going on in the field


								44:45.540 --> 44:47.540

								Now we don't have the whole SV40 virus, which is 5.2 kilobases


								44:48.540 --> 44:51.540

								We have about 420 bases or so of it


								44:52.540 --> 44:53.540

								Which consists of four pieces


								44:54.540 --> 44:57.540

								We have the SV40 origin, the promoter, the enhancer and the polyase signal


								44:58.540 --> 44:59.540

								That are in there


								45:00.540 --> 45:04.540

								In SV40, I think, instructs it to put a polyase signal on a messenger RNA


								45:05.540 --> 45:07.540

								For some reason, that's sitting in this vector as well


								45:08.540 --> 45:09.540

								I haven't studied as much in what the polyase signal


								45:10.540 --> 45:12.540

								Why they need the polyase signal in this vector, that seems to be


								45:14.540 --> 45:17.540

								I think that's needed, if they want to express these plasmids of a million cells


								45:18.540 --> 45:20.540

								It's good to have something that puts a polyase signal on it


								45:20.540 --> 45:24.540

								And so they put that on the F1 origin for other reasons


								45:26.540 --> 45:29.540

								So that being said, a lot of pushback is, hey, this doesn't have the T antigen


								45:30.540 --> 45:34.540

								The tumor antigen is what is deemed to be the carcinogen in SV40


								45:35.540 --> 45:38.540

								And so you guys are conflating SV40 with the virus


								45:39.540 --> 45:41.540

								You're spreading fear porn and all that


								45:42.540 --> 45:46.540

								I think an important thing to know is that a large portion of the population


								45:47.540 --> 45:49.540

								Is SV40 positive from the polio vaccine?


								45:50.540 --> 45:51.540

								So they presumably can make T antigen


								45:52.540 --> 45:53.540

								And why is that important?


								45:54.540 --> 45:59.540

								Well, T antigen is what actually initiates the DNA replication on the SV40 promoter that's in the vaccine


								46:00.540 --> 46:02.540

								So if a certain part of the population makes T antigen


								46:03.540 --> 46:04.540

								And you inject them with a lot of these promoters


								46:05.540 --> 46:07.540

								They're going to have the machinery to turn that promoter on


								46:08.540 --> 46:09.540

								Wherever it lands


								46:10.540 --> 46:11.540

								So there's


								46:12.540 --> 46:13.540

								I want other words


								46:14.540 --> 46:20.540

								Right, in other words, if you've been vaccinated with the oral polio or the live virus polio vaccine


								46:21.540 --> 46:25.540

								Then you could have the T antigen already in you


								46:27.540 --> 46:29.540

								Right, and that's something that I can't really


								46:30.540 --> 46:34.540

								I think right now we have data here that shows there's a legal problem here


								46:35.540 --> 46:37.540

								More so than we have evidence of a clinical problem


								46:38.540 --> 46:39.540

								The clinical problem we still need more data from


								46:40.540 --> 46:42.540

								We need to find out if this DNA is actually in other people


								46:43.540 --> 46:45.540

								Post vaccination and people who haven't been vaccinated to see


								46:46.540 --> 46:48.540

								Is it associated with a lot of this adverse events?


								46:49.540 --> 46:50.540

								Right now this is just hypothesis generation


								46:51.540 --> 46:53.540

								We don't we have that. We have a lot of reasons to believe this is a bad idea


								46:54.540 --> 46:55.540

								They don't need this DNA in there


								46:56.540 --> 46:57.540

								They didn't tell the regulators about it


								46:58.540 --> 46:59.540

								And it's inside of an LNP


								47:00.540 --> 47:02.540

								And it's going to get to the nuclear space and the sequence that's in there


								47:03.540 --> 47:04.540

								All right, so all of that is a train wreck


								47:05.540 --> 47:07.540

								If you're putting in 200 billion of these molecules per shot


								47:08.540 --> 47:09.540

								And you're doing them five times a year


								47:10.540 --> 47:11.540

								I don't know how many times people are taking them


								47:12.540 --> 47:13.540

								But if you think of your to schedule


								47:14.540 --> 47:15.540

								You should be past your fifth by now, right?


								47:16.540 --> 47:18.540

								So there's a cumulative dosing problem here


								47:19.540 --> 47:21.540

								There's a high number of these fragments in there


								47:22.540 --> 47:24.540

								Even though the nanograms might seem low


								47:25.540 --> 47:27.540

								The fragmentation of them makes them like buckshot


								47:28.540 --> 47:30.540

								And makes them much more potent as integration tools


								47:31.540 --> 47:33.540

								Because you have more active ends of DNA


								47:34.540 --> 47:36.540

								It's the ends of the DNA that have phosphates and hydroxyls


								47:37.540 --> 47:38.540

								That make them sticky


								47:39.540 --> 47:41.540

								Those are kind of like the Lego pieces of DNA, if you will


								47:42.540 --> 47:44.540

								So you'll see an FDA documentation on guidance documents


								47:45.540 --> 47:47.540

								So look at DNA that they base these nanogram limits


								47:48.540 --> 47:49.540

								Based on genomic DNA


								47:50.540 --> 47:52.540

								Ten nanograms of genomic DNA might be like twelve hundred copies of DNA


								47:53.540 --> 47:54.540

								But we're dealing with really small pieces


								47:55.540 --> 47:56.540

								Which means we have hundreds of billions of pieces


								47:58.540 --> 48:00.540

								And they even allude to the fact that if you were dealing with not


								48:01.540 --> 48:02.540

								The million cell contamination


								48:03.540 --> 48:04.540

								Which would be three giga-based genomes


								48:05.540 --> 48:06.540

								But you're dealing with viruses


								48:07.540 --> 48:08.540

								Well then the copy number is so damn high


								48:09.540 --> 48:11.540

								That you might need ventigram or adigram limits


								48:12.540 --> 48:13.540

								On the amount of DNA that could be around


								48:14.540 --> 48:16.540

								There's other guidance documents that also speak to the fact that


								48:17.540 --> 48:18.540

								The two hundred base paired limit is


								48:19.540 --> 48:21.540

								Maybe not really pertinent if you're dealing with promoters


								48:22.540 --> 48:23.540

								Maybe it should be down at seven bases


								48:24.540 --> 48:26.540

								Because seven bases could integrate and cause problems


								48:27.540 --> 48:30.540

								Even in like in a VDJ circumstance with certain parts of the genome


								48:31.540 --> 48:33.540

								So there are guidance documents


								48:35.540 --> 48:37.540

								And they put out guidance documents before LNPs were around saying


								48:38.540 --> 48:39.540

								We think there's going to be a million cell DNA


								48:40.540 --> 48:41.540

								We can tolerate this much of it


								48:42.540 --> 48:43.540

								Based on this copy number


								48:44.540 --> 48:45.540

								Based on us not knowing much about it


								48:45.540 --> 48:47.540

								But the moment you start getting into high copy number contaminants


								48:48.540 --> 48:49.540

								That have bioactive elements to them


								48:50.540 --> 48:51.540

								In their inside LNPs


								48:52.540 --> 48:53.540

								The whole game changes


								48:54.540 --> 48:55.540

								And it's really astounding


								48:56.540 --> 48:58.540

								You know when you when you look at these numbers


								48:59.540 --> 49:01.540

								It's really astounding


								49:02.540 --> 49:04.540

								When you look at these genomic insertion events


								49:06.540 --> 49:08.540

								And I've done genetic engineering before


								49:09.540 --> 49:13.540

								Primarily in genetically modified plants and bacteria


								49:15.540 --> 49:17.540

								It's like you're going to Vegas


								49:18.540 --> 49:19.540

								You're looking for the one in the million event


								49:20.540 --> 49:22.540

								But there are enough


								49:23.540 --> 49:25.540

								Aaron strands of DNA around there


								49:26.540 --> 49:28.540

								For that to actually happen, is that correct?


								49:29.540 --> 49:31.540

								Yeah, I mean Philip Buckholt put up an interesting paper


								49:32.540 --> 49:33.540

								And his Twitter recently about the rate


								49:34.540 --> 49:35.540

								When you do the million transfection like this


								49:36.540 --> 49:37.540

								The rate of integrative cells that's stabilized


								49:39.540 --> 49:40.540

								It was down below seven percent


								49:41.540 --> 49:42.540

								But seven percent is a huge number


								49:43.540 --> 49:44.540

								When you're dealing with billions of LNPs


								49:46.540 --> 49:47.540

								Right, right, so this is


								49:48.540 --> 49:50.540

								LNP is lipid nanoparticle, is that right Kevin?


								49:51.540 --> 49:52.540

								That's right, yeah, so these are


								49:53.540 --> 49:54.540

								packaged in these LNPs, we know that


								49:55.540 --> 49:56.540

								That was part of our most recent paper


								49:57.540 --> 49:59.540

								If you use a nucleation on the vaccine


								50:00.540 --> 50:01.540

								It won't get rid of the DNA that's there


								50:02.540 --> 50:03.540

								Because it's protected, it's inside this


								50:04.540 --> 50:05.540

								lipid nanoparticle


								50:06.540 --> 50:08.540

								So the guidance documents the FDA have for DNA contamination


								50:09.540 --> 50:11.540

								They are just ancient relics


								50:12.540 --> 50:14.540

								They're outdated, they actually started before the NCBIA


								50:15.540 --> 50:17.540

								Which is this National Childhood Vaccine Injury Act


								50:18.540 --> 50:19.540

								They were at ten p-grams back then


								50:20.540 --> 50:22.540

								After that act, they went up a thousand fold


								50:23.540 --> 50:24.540

								Over the course of ten years


								50:25.540 --> 50:27.540

								So, we're now at this stage


								50:28.540 --> 50:29.540

								We've tolerated a thousand times higher


								50:30.540 --> 50:31.540

								Now we're switching to LNPs


								50:32.540 --> 50:33.540

								That bring these things directly into cells


								50:34.540 --> 50:35.540

								With nuclear targeting sequences


								50:36.540 --> 50:37.540

								We were told that this would not target the nucleus


								50:38.540 --> 50:40.540

								We were told that this would not enter into the nucleus


								50:41.540 --> 50:42.540

								Is the nuclear targeting sequence


								50:43.540 --> 50:44.540

								Is that the SV40 enhancer?


								50:46.540 --> 50:47.540

								That is, it's actually


								50:48.540 --> 50:50.540

								It's been published as a great gene therapy tool


								50:51.540 --> 50:53.540

								Because it's so effective at bringing things to the nucleus in hours


								50:54.540 --> 50:55.540

								David Dean has great work on this


								50:56.540 --> 50:57.540

								Canada has just admitted that they found it


								50:58.540 --> 50:59.540

								It's in the vaccine


								51:00.540 --> 51:01.540

								So, all these arguments about our vials


								51:02.540 --> 51:03.540

								Are from dumpsters and everything


								51:04.540 --> 51:06.540

								Pfizer gave sequence to Health Canada


								51:07.540 --> 51:08.540

								That has it in there


								51:09.540 --> 51:10.540

								So, there's no more argument of it being in there


								51:11.540 --> 51:12.540

								So, let's move to the legal issue


								51:13.540 --> 51:14.540

								That you flagged for us Kevin


								51:15.540 --> 51:16.540

								So, Health Canada has acknowledged


								51:17.540 --> 51:19.540

								That this DNA contamination is in the vials


								51:20.540 --> 51:21.540

								So, we now have a major government


								51:22.540 --> 51:23.540

								Of the world acknowledging this


								51:24.540 --> 51:25.540

								And we published Children's Health


								51:26.540 --> 51:27.540

								Defense on Friday last week


								51:28.540 --> 51:29.540

								Published a story quoting Health Canada


								51:31.540 --> 51:32.540

								Is saying, Health Canada expects sponsors


								51:33.540 --> 51:35.540

								To identify any biologically functional DNA


								51:36.540 --> 51:37.540

								Sequences within a plasmid


								51:38.540 --> 51:39.540

								Such as an SV40 enhancer


								51:40.540 --> 51:41.540

								At the time of submission


								51:42.540 --> 51:43.540

								But we know that that didn't happen


								51:45.540 --> 51:46.540

								In our mind, as a scientist


								51:47.540 --> 51:48.540

								Who's long been involved in this area


								51:49.540 --> 51:51.540

								Should that be enough to now force


								51:52.540 --> 51:53.540

								All of the governments around the world


								51:54.540 --> 51:55.540

								To take these vials off the market


								51:56.540 --> 51:57.540

								Until they've been investigated


								51:59.540 --> 52:00.540

								I would think so if they don't do this


								52:01.540 --> 52:02.540

								What are they there for?


								52:03.540 --> 52:04.540

								I mean, this is like every time someone breaks a rule


								52:05.540 --> 52:06.540

								They just change the rule


								52:07.540 --> 52:08.540

								I mean, what do we need regulators for


								52:09.540 --> 52:11.540

								If they're not going to stick to these rules


								52:12.540 --> 52:13.540

								And guidelines they put forward


								52:15.540 --> 52:16.540

								In the same breath of that e-mail


								52:17.540 --> 52:18.540

								I think they reiterated the safe and effective


								52:19.540 --> 52:20.540

								Psalm, like, okay, we need


								52:21.540 --> 52:22.540

								But that's nonsense, as people say


								52:23.540 --> 52:24.540

								They say the risk benefit profile


								52:25.540 --> 52:26.540

								Continues to support the use


								52:27.540 --> 52:29.540

								But if they don't know, if they didn't know this


								52:30.540 --> 52:31.540

								And they don't acknowledge this


								52:32.540 --> 52:33.540

								Then how could they assess the risk benefit


								52:34.540 --> 52:35.540

								Profile? That seems just nonsensical


								52:36.540 --> 52:37.540

								It's circular, it's very circular for them


								52:38.540 --> 52:39.540

								To state that, you don't actually


								52:40.540 --> 52:41.540

								I mean an important point to that risk


								52:42.540 --> 52:43.540

								They waive the genotoxicity studies of the trial


								52:44.540 --> 52:46.540

								Right, right, right, they don't know that


								52:47.540 --> 52:49.540

								There's risk because the trials were never done


								52:50.540 --> 52:53.540

								And how can you get away with it?


								52:54.540 --> 52:55.540

								It seems like when you look at the


								52:56.540 --> 52:57.540

								Plasmid submission to the FDA


								52:58.540 --> 52:59.540

								There are unknown sequences


								53:00.540 --> 53:01.540

								There are big black boxes


								53:02.540 --> 53:04.540

								There's a big unknown where the SV40 promoter went


								53:05.540 --> 53:07.540

								Why did they tolerate this in the first place?


								53:08.540 --> 53:12.540

								You know, I don't know because there's other things in that sequence


								53:13.540 --> 53:15.540

								There's other points in that sequence that should have


								53:16.540 --> 53:17.540

								Wrong alarm bells


								53:18.540 --> 53:20.540

								If you turn on any sort of ore finding tool


								53:21.540 --> 53:23.540

								So to paint where the open reading frames are


								53:24.540 --> 53:25.540

								You can identify where the spike is


								53:26.540 --> 53:28.540

								But the thing that will blow your mind is that there's an


								53:29.540 --> 53:30.540

								Orp on the reverse strand of the spike


								53:31.540 --> 53:32.540

								That is 252 amino acids long


								53:34.540 --> 53:35.540

								Like that should have been a red flag


								53:36.540 --> 53:38.540

								So that tells me that no one opened this


								53:39.540 --> 53:40.540

								In a tool, they got the sequence


								53:41.540 --> 53:43.540

								And probably just said, pay your user fee


								53:44.540 --> 53:45.540

								And we'll put it in the file and move on


								53:46.540 --> 53:48.540

								What an Orp finder does is it looks for open reading frames


								53:49.540 --> 53:50.540

								And so if you turn it on, it will look for


								53:51.540 --> 53:52.540

								Star coat-ons and stop coat-ons


								53:53.540 --> 53:54.540

								And it instantly finds the spike protein


								53:56.540 --> 53:57.540

								If you ask this to look at


								53:59.540 --> 54:01.540

								On both strands of the DNA, it will find another Orp


								54:02.540 --> 54:03.540

								That runs the entire direction


								54:04.540 --> 54:05.540

								On the other strand of the spike protein


								54:07.540 --> 54:08.540

								For 1,252 amino acids long


								54:09.540 --> 54:11.540

								I don't have it visualized here because I've picked up the wrong screen here


								54:12.540 --> 54:14.540

								But I do have it on my sub-stack and people can see this


								54:15.540 --> 54:16.540

								Now anyone who's regulating this


								54:17.540 --> 54:19.540

								Would have, should have, put this into a


								54:20.540 --> 54:21.540

								Tool-like snap gene to say


								54:22.540 --> 54:23.540

								Show me what's in this plasma


								54:24.540 --> 54:25.540

								And it annotates all these pieces for you


								54:26.540 --> 54:27.540

								And it would have shown you that there is a mysterious


								54:28.540 --> 54:30.540

								Orp of unknown origin that encodes the entire opposite strand


								54:31.540 --> 54:32.540

								Of the spike protein


								54:34.540 --> 54:36.540

								Moderna doesn't have it, the virus doesn't have it


								54:37.540 --> 54:39.540

								It says Kevin, it's unknown, they don't know what it is


								54:40.540 --> 54:42.540

								I've blasted this thing against NCBI


								54:43.540 --> 54:47.540

								The only hits I can find in uniprot are to a gene that's


								54:48.540 --> 54:50.540

								Or protein that's in silk and in collagen


								54:51.540 --> 54:53.540

								And some other fibroin thing


								54:55.540 --> 54:56.540

								I don't know


								54:59.540 --> 55:01.540

								I guess I'm a little confused what he's saying


								55:02.540 --> 55:03.540

								He's saying that the


								55:04.540 --> 55:06.540

								On the complementary strand


								55:07.540 --> 55:08.540

								To the spike protein


								55:10.540 --> 55:12.540

								There is another open reading frame


								55:14.540 --> 55:16.540

								And the AI tool


								55:17.540 --> 55:19.540

								Recognizes that an open reading frame


								55:20.540 --> 55:22.540

								Because it finds the start codons


								55:24.540 --> 55:25.540

								My guess is


								55:26.540 --> 55:27.540

								Is that he is like


								55:28.540 --> 55:30.540

								Letting this software tool


								55:31.540 --> 55:33.540

								Tell him that there's a


								55:34.540 --> 55:36.540

								Origin of replication there


								55:37.540 --> 55:39.540

								And it's an open reading frame


								55:40.540 --> 55:42.540

								And then he's just saying, so I look and I try to find it


								55:43.540 --> 55:44.540

								But I can't find it anywhere


								55:45.540 --> 55:46.540

								Maybe because it isn't anything


								55:48.540 --> 55:50.540

								And it just has a start codon or something in the front


								55:51.540 --> 55:53.540

								That makes that automatic search system


								55:54.540 --> 55:56.540

								Identify it as an open reading frame


								55:58.540 --> 56:00.540

								I'm skeptical of that call right there


								56:04.540 --> 56:06.540

								I'm skeptical of that that doesn't really


								56:07.540 --> 56:09.540

								Sit right with me for some reason


								56:10.540 --> 56:12.540

								Just because this AI program or this


								56:13.540 --> 56:15.540

								This software tool


								56:16.540 --> 56:19.540

								Locates what it says is an open reading frame within


								56:20.540 --> 56:23.540

								With an origin of replication doesn't necessarily mean


								56:24.540 --> 56:26.540

								That that's going to be functional


								56:28.540 --> 56:30.540

								And in any other context


								56:31.540 --> 56:33.540

								I mean it's


								56:34.540 --> 56:36.540

								There's so much I've taken notes and I just want to keep it going


								56:37.540 --> 56:39.540

								And then I'll go back all the way to the beginning


								56:40.540 --> 56:41.540

								What this does


								56:42.540 --> 56:44.540

								But I know that this is an artifact of our codon optimization


								56:45.540 --> 56:46.540

								That should not be there and is a massive risk


								56:47.540 --> 56:48.540

								And they should get rid of it


								56:49.540 --> 56:51.540

								Because it's actually it's a massive


								56:52.540 --> 56:54.540

								Sedoco puzzle for someone to actually figure this out


								56:55.540 --> 56:57.540

								Like how do you get a 1,273 amino acid


								56:58.540 --> 56:59.540

								Open reading frame in strand


								57:00.540 --> 57:02.540

								And how do you get one on the other


								57:03.540 --> 57:05.540

								That doesn't have a stop codon anywhere


								57:06.540 --> 57:07.540

								That's scary


								57:08.540 --> 57:09.540

								What are the implications of having that


								57:10.540 --> 57:11.540

								And so the definition then it seems


								57:12.540 --> 57:14.540

								Of an open reading frame is just a very long sequence


								57:15.540 --> 57:16.540

								Without a stop codon


								57:17.540 --> 57:19.540

								Okay, maybe that's extraordinary


								57:20.540 --> 57:23.540

								Or maybe he's just making us ask the wrong question


								57:24.540 --> 57:25.540

								Like where did this come from?


								57:26.540 --> 57:29.540

								Or if you know that or if going into the opposite direction


								57:30.540 --> 57:34.540

								You know and then and then injecting that into humans


								57:36.540 --> 57:37.540

								I don't know if it's going to get expressed


								57:38.540 --> 57:39.540

								That's the thing


								57:39.540 --> 57:40.540

								Sure, yeah


								57:41.540 --> 57:43.540

								A waste pair of answer is a bidirectional promoter


								57:44.540 --> 57:46.540

								So presumably it makes our need both directions


								57:47.540 --> 57:49.540

								If for some reason it spans this poly A region


								57:50.540 --> 57:52.540

								In the plasmid it could go and start making RNA


								57:53.540 --> 57:55.540

								Over that unknown, that mysterious orb


								57:56.540 --> 57:57.540

								Good, good


								57:58.540 --> 57:59.540

								I don't know what that's going to do in the cell


								58:00.540 --> 58:01.540

								It could, there's a COSAC consensus sequence there


								58:02.540 --> 58:03.540

								It's very difficult to informatically screen


								58:04.540 --> 58:05.540

								For internal ribosomal entry sites


								58:06.540 --> 58:07.540

								So I can't tell you that ribosomes


								58:08.540 --> 58:09.540

								Definitely get to translate this thing


								58:10.540 --> 58:11.540

								But I can certainly tell you that if I were a regulator


								58:12.540 --> 58:13.540

								I would tell them to get rid of it


								58:14.540 --> 58:15.540

								Because it's risk with no gain


								58:17.540 --> 58:18.540

								Sorry


								58:19.540 --> 58:20.540

								There's no way they did


								58:21.540 --> 58:23.540

								If they looked at this, this would have run out to them


								58:24.540 --> 58:25.540

								It's clear to me, they didn't look


								58:26.540 --> 58:28.540

								I think they collected their user fee and put the thing in the file


								58:29.540 --> 58:31.540

								So the regulators were asleep on the job


								58:32.540 --> 58:33.540

								It sounds like what you're saying


								58:34.540 --> 58:35.540

								Because they didn't catch SV40


								58:36.540 --> 58:37.540

								That they could have easily caught through snap chain


								58:38.540 --> 58:40.540

								And they also didn't tell us about this open reading frame


								58:41.540 --> 58:45.540

								1220, 237 pair bases, base pairs


								58:46.540 --> 58:47.540

								Is that right?


								58:48.540 --> 58:50.540

								The open reading frame is 1273 for the spike


								58:51.540 --> 58:53.540

								And on the reverse side, there's like a 1252 amino acid


								58:55.540 --> 58:56.540

								Open reading frame


								58:57.540 --> 58:58.540

								And I could see someone writing an off


								58:59.540 --> 59:00.540

								Being like, oh, it's messenger RNA, it's going to be single stranded


								59:01.540 --> 59:02.540

								The reverse strand won't be there, what it's an RNA form


								59:03.540 --> 59:05.540

								But they didn't anticipate the DNA is going to come with it


								59:06.540 --> 59:07.540

								And so now we have both strands there


								59:08.540 --> 59:10.540

								And the other strand codes for something


								59:11.540 --> 59:13.540

								So if any of this stuff integrates, it's likely to be an open reading frame


								59:14.540 --> 59:16.540

								Of a foreign peptide that your immune system's not going to like


								59:18.540 --> 59:22.540

								The point is, it's a very open reading frame rich plasmid


								59:24.540 --> 59:28.540

								We've got millions and millions of lipid nanoparticles


								59:29.540 --> 59:32.540

								That are floating around physiologically


								59:33.540 --> 59:36.540

								And basically, and the lipid nanoparticles contain


								59:38.540 --> 59:40.540

								What appears to be transfection soup


								59:41.540 --> 59:42.540

								How do people not get transfected by this?


								59:44.540 --> 59:46.540

								I think the numbers are probably in the billions of trillions


								59:47.540 --> 59:48.540

								From what I've read on the L and P's


								59:49.540 --> 59:50.540

								A large number, but


								59:52.540 --> 59:54.540

								And yeah, they probably have the RNA and the DNA in them


								59:55.540 --> 59:57.540

								From the measurements we've made, they're packaged


								59:58.540 --> 01:00:00.540

								And they're the clearest resistant and they're ending up in cells


								01:00:01.540 --> 01:00:03.540

								What a lot of people push back is like, okay, any cell that gets transfected


								01:00:04.540 --> 01:00:06.540

								Is going to die, so who cares if this cargo's in there


								01:00:08.540 --> 01:00:11.540

								It's true because we see the spike protein and the spike sequence


								01:00:13.540 --> 01:00:15.540

								Persisting in least 28 days, people have sequenced


								01:00:16.540 --> 01:00:18.540

								mRNA or DNA, we don't know which one it was


								01:00:19.540 --> 01:00:21.540

								But they've got sequence of the vaccine 28 days later in plasmid


								01:00:22.540 --> 01:00:24.540

								They have found it in breast milk five or seven days later


								01:00:25.540 --> 01:00:27.540

								The protein itself, they have found Patterson


								01:00:28.540 --> 01:00:30.540

								Founded four months later on exosomes, I think


								01:00:31.540 --> 01:00:34.540

								Sorry, that was Bansal, Patterson found it like I think 200 days later in macrophages


								01:00:35.540 --> 01:00:40.540

								So cool thing is persisting, and I don't think every cell that gets transformed


								01:00:41.540 --> 01:00:45.540

								Is 100% killed instantly, there's something going on where people can't clear this


								01:00:46.540 --> 01:00:48.540

								And maybe it's hitting immune-privileged cells


								01:00:49.540 --> 01:00:51.540

								And that's why it sits around forever


								01:00:52.540 --> 01:00:54.540

								So I think it is a risk, if there's DNA floating around


								01:00:55.540 --> 01:00:56.540

								It's going to add to the persistence of this


								01:00:57.540 --> 01:01:01.540

								Because it could integrate and continually express these other foreign peptides


								01:01:02.540 --> 01:01:06.540

								Exactly, and what about, you know, what about the implications?


								01:01:07.540 --> 01:01:10.540

								When I think of DNA disrepair, I think of cancer


								01:01:11.540 --> 01:01:14.540

								And so, you know, I get very, very concerned about that


								01:01:15.540 --> 01:01:19.540

								Just not, you know, not specifically on


								01:01:20.540 --> 01:01:22.540

								Oh, we're making people into, you know,


								01:01:23.540 --> 01:01:26.540

								Genomically stable spike protein production factories


								01:01:27.540 --> 01:01:32.540

								But also just the other bits and pieces of DNA that are getting integrated into the genome


								01:01:33.540 --> 01:01:34.540

								And, you know, what are they doing?


								01:01:35.540 --> 01:01:38.540

								What are they enhancing, and what are they, you know, or what are they silencing?


								01:01:40.540 --> 01:01:46.540

								Well, what made me nervous is when we saw, so Phillips' work, I think, showed a couple billion of the


								01:01:47.540 --> 01:01:51.540

								Of the amplicons from just PCR, so PCR measures 100 base per amplicon


								01:01:52.540 --> 01:01:54.540

								And we have one that actually targets CSV 40 promoter


								01:01:55.540 --> 01:01:58.540

								So there's a billion copies of just that region in every injection


								01:01:59.540 --> 01:02:02.540

								That's kind of, that's carbon bombing a genome with a billion promoters


								01:02:03.540 --> 01:02:05.540

								Where are those lands, and what efficiency is an open debate


								01:02:06.540 --> 01:02:10.540

								But wherever they land, they're going to be active promoters of a million cells


								01:02:11.540 --> 01:02:13.540

								So I think that alone is an issue


								01:02:14.540 --> 01:02:17.540

								Because you're just dropping these things that make RNA into the genome randomly


								01:02:18.540 --> 01:02:22.540

								And if you happen to put one on a protoanco gene, or if, you know, right, right, a host of issues


								01:02:23.540 --> 01:02:28.540

								Now, there's other areas that genes that if you hyper express them, they can drive to sell excess cell growth


								01:02:29.540 --> 01:02:32.540

								They call them protoanco genes, and so it's an act of promoter for that


								01:02:33.540 --> 01:02:34.540

								Turns out it's not good


								01:02:35.540 --> 01:02:38.540

								The other thing that can happen is you can break a gene that slows down cancer, like P53


								01:02:39.540 --> 01:02:41.540

								P53 and Braca are these DNA repair enzymes


								01:02:42.540 --> 01:02:44.540

								And if you happen to put a different part of the plasma inside of those


								01:02:45.540 --> 01:02:47.540

								It could, it could disable those genes


								01:02:48.540 --> 01:02:51.540

								Then you don't have, you don't have this repair mechanism that you need


								01:02:52.540 --> 01:02:55.540

								Now, most people have two copies of all these genes


								01:02:56.540 --> 01:02:58.540

								So many people, you break one of them, maybe you're okay


								01:02:59.540 --> 01:03:01.540

								But there are subsets of people that have Braca mutations and P53 mutations


								01:03:02.540 --> 01:03:05.540

								And they're haploid, so they have like one bad copy and one good copy


								01:03:06.540 --> 01:03:08.540

								You come in with this vaccine, you can knock out the only other good copy


								01:03:09.540 --> 01:03:14.540

								And so this is a whole host of sort of rare genetics that you have


								01:03:15.540 --> 01:03:18.540

								I'm not sure how it inserts specifically to knock out a single enzyme


								01:03:19.540 --> 01:03:21.540

								So precisely among the entire human genome


								01:03:22.540 --> 01:03:26.540

								Wherever this small fragment of DNA is going to integrate


								01:03:27.540 --> 01:03:30.540

								If it's going to disrupt the Braca gene or disrupt the P53 gene


								01:03:31.540 --> 01:03:35.540

								It's going to have to insert exactly there and whatever chromosome it's in


								01:03:36.540 --> 01:03:39.540

								And then unless you have injected a pregnant woman


								01:03:40.540 --> 01:03:44.540

								And it's inserting into a developing fetus, which would be devastating


								01:03:45.540 --> 01:03:50.540

								Is it integrating into the genome of a liver cell that's going to die next week?


								01:03:51.540 --> 01:03:58.540

								Is it integrating into the cells of your kidney wall or you know what what


								01:03:59.540 --> 01:04:02.540

								And what happens if it does


								01:04:03.540 --> 01:04:10.540

								Again, I am trying to be devil's advocate here and try to emphasize


								01:04:11.540 --> 01:04:17.540

								That all these hypothetical scenarios where this DNA could in theory integrate


								01:04:18.540 --> 01:04:22.540

								And disrupt a gene, cause cancer, do whatever


								01:04:23.540 --> 01:04:26.540

								Are very low probability events


								01:04:27.540 --> 01:04:36.540

								Whereas the destruction of tissues which are expressing foreign proteins driven by this chemically modified RNA


								01:04:37.540 --> 01:04:39.540

								Not messenger RNA, but modified RNA


								01:04:42.540 --> 01:04:44.540

								Those consequences are going to be devastating


								01:04:45.540 --> 01:04:50.540

								Those consequences can include clotting and autoimmunity and the list is long


								01:04:51.540 --> 01:04:54.540

								And so if we're going to focus on what this DNA could do


								01:04:55.540 --> 01:05:02.540

								If it integrates and knocks out a cancer gene or the promoter integrates right next to an oncogene


								01:05:03.540 --> 01:05:08.540

								We're talking about what happens if I put all of my chips on 30 black


								01:05:09.540 --> 01:05:13.540

								And the ball hits 30 black, well then you're a millionaire


								01:05:14.540 --> 01:05:18.540

								And if some of this DNA goes into your grandma's


								01:05:19.540 --> 01:05:25.540

								You know already developing cancer and and juices it a little bit boy she could be dead


								01:05:28.540 --> 01:05:33.540

								But that kind of glosses over the fact that well if you transfect your grandma


								01:05:34.540 --> 01:05:36.540

								There's a million reasons why she might die


								01:05:37.540 --> 01:05:40.540

								And it has nothing to do with what the DNA integrates


								01:05:41.540 --> 01:05:48.540

								And it feels very much after he just you know casually went past the idea that the RNA is found everywhere


								01:05:49.540 --> 01:05:52.540

								And the spike protein is found everywhere and it doesn't go away like we thought it was


								01:05:53.540 --> 01:05:54.540

								And that's a train wreck


								01:05:56.540 --> 01:05:58.540

								We're focusing off a lot on this DNA then aren't we


								01:06:01.540 --> 01:06:05.540

								To consider this and perhaps why this may not be something you'd be seeing in all patients


								01:06:06.540 --> 01:06:12.540

								And there's another dimension of like which vaccine lots have more of this versus less of this like the Schmeling paper you look at has


								01:06:13.540 --> 01:06:17.540

								4% of the vaccine lots having a majority of the adverse events


								01:06:18.540 --> 01:06:22.540

								So we have a lot of VED diagrams here of things to consider


								01:06:23.540 --> 01:06:25.540

								There's a lot of people who probably took these and don't have any harm at all


								01:06:26.540 --> 01:06:33.540

								There's maybe a subset of people that take these bad lots that in fact have some genetic reason why they're more susceptible to the harm than others


								01:06:34.540 --> 01:06:36.540

								So you see there's a lot a little slippery language there


								01:06:37.540 --> 01:06:40.540

								There's probably a lot of people who took these vaccines and didn't have any harm at all


								01:06:42.540 --> 01:06:48.540

								There's probably a lot of people that took these vaccines and there's no harm at all


								01:06:50.540 --> 01:06:54.540

								There's probably a lot of people who took these vaccines and didn't have any harm at all


								01:06:57.540 --> 01:07:00.540

								There's probably a lot of people who took these vaccines and didn't have any harm at all


								01:07:03.540 --> 01:07:07.540

								And you mentioned, I think, to all of us.


								01:07:07.540 --> 01:07:11.860

								And so this is a whole host of sort of rare genetics


								01:07:11.860 --> 01:07:13.060

								that you have to consider in this.


								01:07:13.060 --> 01:07:15.140

								And perhaps why this may not be something you'd


								01:07:15.140 --> 01:07:17.660

								be seeing in all patients.


								01:07:17.660 --> 01:07:20.060

								There's another dimension of which vaccine


								01:07:20.060 --> 01:07:21.900

								lots have more of this versus less of this,


								01:07:21.900 --> 01:07:23.300

								like the Schmeling paper you look at


								01:07:23.300 --> 01:07:27.060

								has 4% of the vaccine lots having the majority


								01:07:27.060 --> 01:07:28.700

								of the adverse events.


								01:07:28.700 --> 01:07:32.540

								So we have a lot of VED diagrams here of things


								01:07:32.540 --> 01:07:33.900

								to consider.


								01:07:33.900 --> 01:07:35.380

								There's a lot of people who probably took these


								01:07:35.380 --> 01:07:36.740

								and don't have any harm at all.


								01:07:36.740 --> 01:07:38.940

								Maybe a subset of the people that take these bad lots


								01:07:38.940 --> 01:07:42.460

								that, in fact, have some genetic reason why they're more


								01:07:42.460 --> 01:07:43.940

								susceptible to the harm than others.


								01:07:43.940 --> 01:07:48.140

								Oh, so then even some people are lucky and not genetically


								01:07:48.140 --> 01:07:50.620

								susceptible to the DNA contamination,


								01:07:50.620 --> 01:07:52.940

								and they didn't have any problems.


								01:07:52.940 --> 01:07:54.820

								But then these other losers over there


								01:07:54.820 --> 01:07:57.500

								who just happened to have the wrong genes,


								01:07:57.500 --> 01:08:00.220

								they're extra susceptible, right?


								01:08:00.260 --> 01:08:03.180

								Stop lying.


								01:08:03.180 --> 01:08:04.180

								Others.


								01:08:04.180 --> 01:08:06.260

								Kevin, you mentioned, I think, harm at all.


								01:08:06.260 --> 01:08:08.380

								The majority of the adverse events.


								01:08:08.380 --> 01:08:13.420

								So we have a lot of VED diagrams here of things to consider.


								01:08:13.420 --> 01:08:15.060

								There's a lot of people who probably took these


								01:08:15.060 --> 01:08:16.300

								and don't have any harm at all.


								01:08:16.300 --> 01:08:18.620

								There's maybe a subset of people that take these bad lots


								01:08:18.620 --> 01:08:21.700

								that, in fact, have some genetic reason


								01:08:21.700 --> 01:08:24.340

								why they're more susceptible to the harm than others.


								01:08:24.340 --> 01:08:27.500

								Kevin, you mentioned, I think, today and in the past


								01:08:27.500 --> 01:08:30.700

								that this promoter, the SV40 promoter in particular,


								01:08:30.700 --> 01:08:32.740

								is used in gene therapy.


								01:08:32.740 --> 01:08:35.940

								And yet this was not reviewed as a gene therapy.


								01:08:35.940 --> 01:08:37.460

								It was reviewed as a vaccine.


								01:08:37.460 --> 01:08:40.540

								Is that an issue in your group?


								01:08:40.540 --> 01:08:43.780

								Yeah, I think that is actually a very serious legal issue.


								01:08:43.780 --> 01:08:46.500

								This here is the SV40 enhancer that


								01:08:46.500 --> 01:08:49.300

								is published to bind all of these transcription factors


								01:08:49.300 --> 01:08:52.300

								and drag this sequence into the nucleus.


								01:08:52.300 --> 01:08:54.900

								There's two of these copies of these 72 base pair pieces


								01:08:54.900 --> 01:08:56.940

								of DNA, and this is what they're putting


								01:08:56.940 --> 01:09:00.700

								in plasmids to get them to do perform gene therapy.


								01:09:00.700 --> 01:09:03.620

								So the sequence that they omitted


								01:09:03.620 --> 01:09:06.460

								is a bioactive sequence according to Health Canada,


								01:09:06.460 --> 01:09:07.860

								and it is used in gene therapy.


								01:09:07.860 --> 01:09:09.380

								There's just no debate anymore.


								01:09:09.380 --> 01:09:12.660

								The plasmids that are in there are gene therapy tools,


								01:09:12.660 --> 01:09:15.060

								and they're injected into beings and people.


								01:09:15.060 --> 01:09:18.980

								So not only was there no informed consent for anybody,


								01:09:18.980 --> 01:09:20.980

								and this was emergency news authorization,


								01:09:20.980 --> 01:09:24.300

								so they weren't by law.


								01:09:24.340 --> 01:09:28.180

								The question becomes, again, am I cracking yours?


								01:09:28.180 --> 01:09:30.380

								No, okay, it sounded like I was really loud.


								01:09:30.380 --> 01:09:32.180

								I don't think I'm actually that loud.


								01:09:36.660 --> 01:09:39.700

								The important thing to understand here is that


								01:09:44.180 --> 01:09:45.020

								yeah.


								01:09:55.300 --> 01:09:58.300

								I just, I, base pair pieces of DNA,


								01:09:58.300 --> 01:10:00.300

								and this is what they're putting in plasmids


								01:10:00.300 --> 01:10:03.300

								to get them to do perform gene therapy.


								01:10:03.300 --> 01:10:06.300

								So the sequence that they omitted


								01:10:06.300 --> 01:10:09.300

								is a bioactive sequence according to Health Canada,


								01:10:09.300 --> 01:10:10.300

								and it is used in gene therapy.


								01:10:10.300 --> 01:10:12.300

								There's just no debate anymore.


								01:10:12.300 --> 01:10:15.300

								The plasmids that are in there are gene therapy tools.


								01:10:15.300 --> 01:10:17.300

								And now the way that they assembled the plasmid


								01:10:17.300 --> 01:10:19.300

								was to look at all the fragments


								01:10:19.300 --> 01:10:23.300

								and then reassemble them into the plasma sequence.


								01:10:24.300 --> 01:10:29.300

								They found very few really long sequences of DNA


								01:10:29.300 --> 01:10:31.300

								because the DNA was digested.


								01:10:34.300 --> 01:10:36.300

								And so the argument on the other side


								01:10:36.300 --> 01:10:39.300

								is clearly going to be these fragments are tiny.


								01:10:39.300 --> 01:10:41.300

								Kevin makes the argument that tiny fragments


								01:10:41.300 --> 01:10:45.300

								have lots of active sticky ends,


								01:10:45.300 --> 01:10:48.300

								and so they're more likely to integrate.


								01:10:48.300 --> 01:10:51.300

								The regulators and other molecular biologists


								01:10:51.300 --> 01:10:53.300

								will say that the shorter the pieces are,


								01:10:53.300 --> 01:10:55.300

								the more likely that they won't integrate,


								01:10:55.300 --> 01:10:56.300

								that they won't be dangerous,


								01:10:56.300 --> 01:10:58.300

								that they will be cleaned up as noise.


								01:11:02.300 --> 01:11:04.300

								And so that's how they're going to argue


								01:11:04.300 --> 01:11:06.300

								that this is not really valid.


								01:11:06.300 --> 01:11:08.300

								If you use fluorimetry,


								01:11:08.300 --> 01:11:10.300

								you're finding these little tiny fragments


								01:11:10.300 --> 01:11:12.300

								that are a few base pairs long.


								01:11:12.300 --> 01:11:14.300

								I'm getting a GFP signal and claiming


								01:11:14.300 --> 01:11:15.300

								that's double-stranded DNA,


								01:11:15.300 --> 01:11:18.300

								but that's really not double-stranded DNA.


								01:11:18.300 --> 01:11:20.300

								That's not going to make RNA.


								01:11:20.300 --> 01:11:23.300

								It's not going to make protein.


								01:11:23.300 --> 01:11:28.300

								And if it integrates, it will be integrating where?


								01:11:28.300 --> 01:11:31.300

								Into the genome of a cell that's no longer using the genome,


								01:11:31.300 --> 01:11:34.300

								like an endothelial cell,


								01:11:34.300 --> 01:11:36.300

								or a liver cell,


								01:11:36.300 --> 01:11:39.300

								or an already differentiated cell in the body


								01:11:39.300 --> 01:11:42.300

								that really only uses a very sub-small subset


								01:11:42.300 --> 01:11:45.300

								of the total genome and its nucleus.


								01:11:45.300 --> 01:11:48.300

								And so if this small piece of DNA was


								01:11:48.300 --> 01:11:50.300

								to magically integrate the chances


								01:11:50.300 --> 01:11:51.300

								of it integrating somewhere


								01:11:51.300 --> 01:11:54.300

								that will have any impact on that cell,


								01:11:54.300 --> 01:11:57.300

								it seems to be quite vanishing.


								01:11:57.300 --> 01:11:59.300

								Certainly not just going to happen


								01:11:59.300 --> 01:12:02.300

								to stumble on Braco or stumble on P53


								01:12:02.300 --> 01:12:04.300

								because it's like a magnet for it.


								01:12:07.300 --> 01:12:10.300

								And so we seem to be creating these, you know,


								01:12:10.300 --> 01:12:13.300

								worst-case scenario is that it,


								01:12:13.300 --> 01:12:15.300

								your son drinks some whiskey,


								01:12:15.300 --> 01:12:16.300

								gets in the car,


								01:12:16.300 --> 01:12:18.300

								backs across the street,


								01:12:18.300 --> 01:12:21.300

								crashes into the house across the street.


								01:12:21.300 --> 01:12:24.300

								That's the worst-case scenario if you leave your son at home.


								01:12:24.300 --> 01:12:26.300

								The best-case scenario is you watch some Netflix


								01:12:26.300 --> 01:12:28.300

								and goes to bed on time.


								01:12:30.300 --> 01:12:33.300

								The best-case scenario or other scenarios


								01:12:33.300 --> 01:12:36.300

								that eats ice cream and you told him not to.


								01:12:36.300 --> 01:12:38.300

								But the worst-case scenario is, yeah,


								01:12:38.300 --> 01:12:40.300

								he drinks half a fifth of whiskey,


								01:12:40.300 --> 01:12:41.300

								drives the car across the street,


								01:12:41.300 --> 01:12:43.300

								crashes into the neighbor's house.


								01:12:44.300 --> 01:12:46.300

								But it's not very likely.


								01:12:47.300 --> 01:12:50.300

								In fact, I would argue it's vanishingly small,


								01:12:50.300 --> 01:12:52.300

								the probability that that's going to happen,


								01:12:52.300 --> 01:12:54.300

								even if I left a bottle of whiskey on the table


								01:12:54.300 --> 01:12:57.300

								next to the car keys, my son wouldn't do it.


								01:12:58.300 --> 01:13:00.300

								So it's a pretty bold statement to say


								01:13:00.300 --> 01:13:03.300

								that all this double-stranded little pieces of DNA


								01:13:03.300 --> 01:13:07.300

								and so it's highly likely because they were in lipid nanoparticles


								01:13:07.300 --> 01:13:09.300

								that they'll get into that nucleus


								01:13:09.300 --> 01:13:12.300

								and they'll interact with the two cancer-controlling enzymes


								01:13:12.300 --> 01:13:14.300

								called P53 in Braca.


								01:13:17.300 --> 01:13:21.300

								Why wouldn't they interact with one of the 100,000 other enzymes


								01:13:21.300 --> 01:13:23.300

								that are present in our cells instead,


								01:13:23.300 --> 01:13:26.300

								or one of the other 100,000 places


								01:13:26.300 --> 01:13:29.300

								that it could integrate and do nothing,


								01:13:29.300 --> 01:13:32.300

								or have no real effect,


								01:13:34.300 --> 01:13:36.300

								whereas transfection,


								01:13:36.300 --> 01:13:38.300

								expression of a foreign protein,


								01:13:38.300 --> 01:13:40.300

								activation of the immune system


								01:13:40.300 --> 01:13:42.300

								by the expression of a foreign protein,


								01:13:42.300 --> 01:13:46.300

								and the challenge of the immune system to clear that


								01:13:46.300 --> 01:13:50.300

								is obviously a non-physiological problem


								01:13:50.300 --> 01:13:53.300

								that you would not want to challenge a healthy human with,


								01:13:53.300 --> 01:13:56.300

								but let's focus on this DNA problem.


								01:13:58.300 --> 01:14:00.300

								That's where we are, ladies and gentlemen.


								01:14:00.300 --> 01:14:02.300

								That's where we are.


								01:14:02.300 --> 01:14:07.300

								That is the bamboozlement that's being brought upon us right now.


								01:14:09.300 --> 01:14:11.300

								Make no mistake about it.


								01:14:11.300 --> 01:14:18.300

								So it's a very, very nuanced trap


								01:14:18.300 --> 01:14:20.300

								that we are being lured into,


								01:14:20.300 --> 01:14:24.300

								and if we're not explicit and very careful


								01:14:24.300 --> 01:14:26.300

								about how we look at this,


								01:14:27.300 --> 01:14:29.300

								from the outside,


								01:14:29.300 --> 01:14:33.300

								from the perspective of people looking at us


								01:14:33.300 --> 01:14:35.300

								from the outside,


								01:14:36.300 --> 01:14:39.300

								it will be very easy for us to be brushed away,


								01:14:39.300 --> 01:14:40.300

								and you'll see in a minute.


								01:14:40.300 --> 01:14:41.300

								We'll watch the rest of this,


								01:14:41.300 --> 01:14:44.300

								then we're going to watch some debunk the funk,


								01:14:44.300 --> 01:14:46.300

								and they're injected into billions of people.


								01:14:46.300 --> 01:14:50.300

								So not only was there no informed consent for anybody,


								01:14:50.300 --> 01:14:52.300

								and this was emergency use authorization,


								01:14:52.300 --> 01:14:55.300

								so they weren't, by law,


								01:14:55.300 --> 01:14:58.300

								they weren't able to give truly informed consent,


								01:14:58.300 --> 01:15:01.300

								but it looks like this was a gene therapy,


								01:15:01.300 --> 01:15:04.300

								and people were not told that this was a gene therapy.


								01:15:04.300 --> 01:15:05.300

								Is that right?


								01:15:05.300 --> 01:15:09.300

								That's right, and now they may not have meant for it to be this,


								01:15:09.300 --> 01:15:12.300

								but they certainly, in my opinion, hit it.


								01:15:12.300 --> 01:15:15.300

								The fact that that SV-3 region is the only origin missing


								01:15:15.300 --> 01:15:19.300

								on the vector means whoever ran the annotation program there


								01:15:19.300 --> 01:15:21.300

								probably had three origins show up,


								01:15:21.300 --> 01:15:23.300

								the F1, the bacterial, and the SV-40


								01:15:23.300 --> 01:15:24.300

								and decided to remove the SV-40


								01:15:24.300 --> 01:15:26.300

								because it was an unpopular name,


								01:15:26.300 --> 01:15:28.300

								and they knew it was controversial.


								01:15:28.300 --> 01:15:30.300

								Incredible.


								01:15:30.300 --> 01:15:33.300

								There's a long literature in mainstream scientific


								01:15:33.300 --> 01:15:35.300

								journals about SV-40.


								01:15:35.300 --> 01:15:36.300

								Isn't that right, Brian?


								01:15:36.300 --> 01:15:37.300

								Absolutely.


								01:15:37.300 --> 01:15:40.300

								You know, it's such a strong promoter,


								01:15:40.300 --> 01:15:42.300

								and it's a mammalian active promoter,


								01:15:42.300 --> 01:15:45.300

								and so you would expect if you put that promoter,


								01:15:45.300 --> 01:15:48.300

								and especially if you have that 72 base pair


								01:15:48.300 --> 01:15:51.300

								enhancer region, that you're basically,


								01:15:51.300 --> 01:15:55.300

								you know, you've got a nuclear localization signal,


								01:15:55.300 --> 01:15:57.300

								and so that is its job.


								01:15:57.300 --> 01:16:01.300

								It basically will take a DNA sequence


								01:16:01.300 --> 01:16:05.300

								behind it, and it will deliver it into the nucleus.


								01:16:05.300 --> 01:16:09.300

								This is, it's absolutely incredible that this is there.


								01:16:09.300 --> 01:16:12.300

								It's absolutely incredible that this whole thing


								01:16:12.300 --> 01:16:15.300

								was hidden from view.


								01:16:15.300 --> 01:16:19.300

								Wouldn't that raise, you know, again,


								01:16:19.300 --> 01:16:22.300

								maybe I'm beating a dead horse,


								01:16:22.300 --> 01:16:24.300

								but just the absence of that information,


								01:16:24.300 --> 01:16:27.300

								wouldn't that raise some type of red flag


								01:16:27.300 --> 01:16:31.300

								with the EMA and the FDA?


								01:16:31.300 --> 01:16:35.300

								You would hope so, that they would feel deceived by this.


								01:16:35.300 --> 01:16:36.300

								Yeah.


								01:16:36.300 --> 01:16:38.300

								That this is something that is clearly in the rules


								01:16:38.300 --> 01:16:40.300

								that you need to declare these things,


								01:16:40.300 --> 01:16:41.300

								and now they find out, you know,


								01:16:41.300 --> 01:16:45.300

								years later that they weren't sure this information.


								01:16:45.300 --> 01:16:49.300

								So I don't know where it leads to.


								01:16:49.300 --> 01:16:50.300

								Right, right.


								01:16:50.300 --> 01:16:53.300

								You've been looking at this for quite a while now, Kevin,


								01:16:54.300 --> 01:16:58.300

								and so, you know, if you don't like the message,


								01:16:58.300 --> 01:17:00.300

								you shoot the messenger.


								01:17:00.300 --> 01:17:03.300

								So what's happening with you?


								01:17:03.300 --> 01:17:05.300

								Oh, well, I've already been character assassinated


								01:17:05.300 --> 01:17:07.300

								for my choice to get it into the cannabis field,


								01:17:07.300 --> 01:17:10.300

								so I'm kind of bulletproof from that standpoint.


								01:17:10.300 --> 01:17:13.300

								It's almost as bad as, you know, looking at vaccines.


								01:17:13.300 --> 01:17:16.300

								So his skin in the game is that he already threw away


								01:17:16.300 --> 01:17:19.300

								his career going into the cannabis industry, you know, so,


								01:17:19.300 --> 01:17:22.300

								I mean,


								01:17:22.300 --> 01:17:23.300

								he can't lose any.


								01:17:23.300 --> 01:17:25.300

								He can't be canceled anymore than that.


								01:17:25.300 --> 01:17:26.300

								In general.


								01:17:26.300 --> 01:17:27.300

								So yes.


								01:17:27.300 --> 01:17:28.300

								Yeah.


								01:17:28.300 --> 01:17:29.300

								Exactly.


								01:17:29.300 --> 01:17:31.300

								In the past, I want to point out that Kevin generously


								01:17:31.300 --> 01:17:34.300

								gave us a declaration in the case that we filed against


								01:17:34.300 --> 01:17:37.300

								coercive PCR testing of children in New York City schools,


								01:17:37.300 --> 01:17:40.300

								and we're very grateful for that.


								01:17:40.300 --> 01:17:41.300

								So, yeah.


								01:17:41.300 --> 01:17:44.300

								So, so you're not worried about the character assassination


								01:17:44.300 --> 01:17:46.300

								that goes along with this, Kevin?


								01:17:46.300 --> 01:17:48.300

								No, they already assassinated my character a decade ago


								01:17:48.300 --> 01:17:50.300

								when I decided to start studying cannabis.


								01:17:50.300 --> 01:17:52.300

								So they'll continue on that front.


								01:17:52.300 --> 01:17:55.300

								And yeah, we get harassed on Twitter and all the usual social media


								01:17:55.300 --> 01:17:59.300

								nonsense, but I don't think this is, I don't think it's very


								01:17:59.300 --> 01:18:00.300

								effective.


								01:18:00.300 --> 01:18:02.300

								And oftentimes, I think as a reverse effect,


								01:18:02.300 --> 01:18:04.300

								as people see who they're attacking.


								01:18:04.300 --> 01:18:06.300

								And I mean, you can see our preprint on Thursday.


								01:18:06.300 --> 01:18:08.300

								It's got like 72,000 downloads now,


								01:18:08.300 --> 01:18:12.300

								probably because a Streisand effect of everyone who's hating on us


								01:18:12.300 --> 01:18:13.300

								on Twitter.


								01:18:13.300 --> 01:18:14.300

								So.


								01:18:14.300 --> 01:18:17.300

								What's your sub stack so that we can have everybody follow?


								01:18:18.300 --> 01:18:20.300

								It's, it's a named after the count,


								01:18:20.300 --> 01:18:22.300

								the active compound and catnip.


								01:18:22.300 --> 01:18:23.300

								I'm a cat person.


								01:18:23.300 --> 01:18:25.300

								So it's, uh, it's a petalactone.


								01:18:25.300 --> 01:18:28.300

								Uh, so it's unfortunately really horrible to tell somebody in her


								01:18:28.300 --> 01:18:32.300

								to spell, but lactone is the last word, but a petalactone.


								01:18:32.300 --> 01:18:35.300

								If you ever get confused, just look up the active ingredient


								01:18:35.300 --> 01:18:38.300

								and catnip and it will give you that long winded name.


								01:18:38.300 --> 01:18:41.300

								I taught people how to take the Pfizer sequence as if they were


								01:18:41.300 --> 01:18:44.300

								given it as if they worked at the EMA or the health Canada.


								01:18:44.300 --> 01:18:47.300

								This is the tool that you would probably use to open it up and look


								01:18:47.300 --> 01:18:48.300

								at it.


								01:18:48.300 --> 01:18:49.300

								This is called snap gene.


								01:18:49.300 --> 01:18:52.300

								It's a free tool downloaded, opened the file,


								01:18:52.300 --> 01:18:55.300

								and it will instantly paint you the SV 40 regions.


								01:18:55.300 --> 01:18:59.300

								So this shows you that that someone had to go in and actively


								01:18:59.300 --> 01:19:02.300

								delete this because the standard tools in the industry paint this


								01:19:02.300 --> 01:19:03.300

								thing.


								01:19:03.300 --> 01:19:06.300

								So I don't get credit for finding SV 40 snap gene found it.


								01:19:06.300 --> 01:19:08.300

								It painted it the first time I loaded the sequence in,


								01:19:08.300 --> 01:19:11.300

								which is why I was really confused to see that it was not in


								01:19:11.300 --> 01:19:15.300

								Pfizer's plasma map because that told me somebody had to go


								01:19:15.300 --> 01:19:16.300

								and erase it.


								01:19:16.300 --> 01:19:18.300

								That's not an oops, I forgot it.


								01:19:18.300 --> 01:19:22.300

								That's a, I clearly wanted to deceive you type of move.


								01:19:22.300 --> 01:19:23.300

								Right.


								01:19:23.300 --> 01:19:25.300

								And this is just a picture of that second origin.


								01:19:25.300 --> 01:19:27.300

								Oh, I'm sorry, that second open reading.


								01:19:27.300 --> 01:19:31.300

								It's going in the opposite direction and teaches people how to go


								01:19:31.300 --> 01:19:34.300

								and look for these yourselves and some of the genes that that


								01:19:34.300 --> 01:19:35.300

								thing hits.


								01:19:35.300 --> 01:19:38.300

								They're not really strong hits, but I'm like, this is really weird.


								01:19:38.300 --> 01:19:40.300

								It says silk protein and silk.


								01:19:40.300 --> 01:19:42.300

								I'm not really strong hits.


								01:19:42.300 --> 01:19:43.300

								Stop saying that.


								01:19:43.300 --> 01:19:47.300

								And, um, and these not a very strong.


								01:19:47.300 --> 01:19:50.300

								Intervening sequences is SV 40 sequences.


								01:19:50.300 --> 01:19:51.300

								It's not just you.


								01:19:51.300 --> 01:19:53.300

								It's health Canada now, right?


								01:19:55.300 --> 01:19:59.300

								Yeah, they, they, they confirmed in that email that yes,


								01:19:59.300 --> 01:20:02.300

								we were given the sequence from the plasma, but we were not,


								01:20:02.300 --> 01:20:06.300

								we're not specifically annotated the SV 40 that was in that sequence.


								01:20:06.300 --> 01:20:10.300

								They, they annotated all those other pieces and just decided to not tell them


								01:20:10.300 --> 01:20:12.300

								about the SV 40 in the sequence.


								01:20:12.300 --> 01:20:14.300

								But they have some sequence to tell.


								01:20:14.300 --> 01:20:17.300

								A huge focus being a page in there and not telling them that he slips it in there.


								01:20:17.300 --> 01:20:19.300

								So they have the sequence themselves.


								01:20:19.300 --> 01:20:20.300

								They could have done it.


								01:20:20.300 --> 01:20:23.300

								They, they, they can, they can run snap gene just like anybody else.


								01:20:23.300 --> 01:20:29.300

								In theory, I suspect that they did until we published our work.


								01:20:29.300 --> 01:20:30.300

								Right.


								01:20:30.300 --> 01:20:31.300

								Oopsy.


								01:20:31.300 --> 01:20:36.300

								You've identified for us, Kevin, that, um, that the FDA and, and health Canada


								01:20:36.300 --> 01:20:40.300

								and the EMA potentially could allege that they were deceived.


								01:20:40.300 --> 01:20:44.300

								And perhaps they were deceived and that perhaps opens the door for them right now


								01:20:44.300 --> 01:20:46.300

								to take much more dramatic action.


								01:20:46.300 --> 01:20:50.300

								I think that's fair because if you look through the volume of data that


								01:20:50.300 --> 01:20:55.300

								Pfizer's handing over, it is, it's almost this drowned the regulator in materials


								01:20:55.300 --> 01:20:57.300

								so they can't possibly read it all.


								01:20:57.300 --> 01:20:59.300

								And that's really easy to do with sequence information.


								01:20:59.300 --> 01:21:03.300

								You hand them a file of 7,800 bases and unless they have the time that sets


								01:21:03.300 --> 01:21:06.300

								on a side and say, annotate this and look at this and tell me if there's


								01:21:06.300 --> 01:21:07.300

								something weird in it.


								01:21:07.300 --> 01:21:11.300

								They're, they're then also buried in all the PCR data, all the LPS data.


								01:21:11.300 --> 01:21:15.300

								They, they, they, you know, Pfizer even went out and engineered a new mass spec


								01:21:15.300 --> 01:21:19.300

								method of DNA sequencing to try to show them that their polyA signals were in,


								01:21:19.300 --> 01:21:21.300

								in the, in the vaccine were the right length.


								01:21:21.300 --> 01:21:25.300

								I mean, they did all of this work that I thought was fairly unnecessary and looked


								01:21:25.300 --> 01:21:28.300

								like a tactic of, of drowning regulators and data.


								01:21:28.300 --> 01:21:31.300

								That, that's probably what we're hearing here.


								01:21:31.300 --> 01:21:32.300

								They snowed them.


								01:21:32.300 --> 01:21:34.300

								Well, this is incredibly enlightening.


								01:21:34.300 --> 01:21:37.300

								Kevin, thank you so much for taking the time to explain this to us.


								01:21:37.300 --> 01:21:41.300

								I certainly have a much clearer picture and we can send people to your catnip,


								01:21:41.300 --> 01:21:43.300

								the pedal act tone.


								01:21:43.300 --> 01:21:44.300

								Is that right?


								01:21:44.300 --> 01:21:48.300

								New letter to get all the latest and look at it in greater detail again.


								01:21:48.300 --> 01:21:49.300

								Thank you both so much.


								01:21:49.300 --> 01:21:50.300

								Thank you.


								01:21:50.300 --> 01:21:51.300

								Thank you.


								01:21:51.300 --> 01:21:52.300

								Thank you.


								01:21:52.300 --> 01:21:53.300

								Thank you.


								01:21:53.300 --> 01:21:54.300

								Thank you so much, Kevin.


								01:21:54.300 --> 01:21:56.300

								And, and we look forward to your further research.


								01:21:56.300 --> 01:21:57.300

								Thank you for having us.


								01:21:57.300 --> 01:21:58.300

								Okay.


								01:21:58.300 --> 01:22:06.300

								So let me just summarize this really quickly and then let me give you my one minute


								01:22:06.300 --> 01:22:10.300

								summary about why I think we need to be careful about this.


								01:22:10.300 --> 01:22:13.300

								That was a lot of notes while he really went nuts there.


								01:22:13.300 --> 01:22:25.300

								So the big thing that seems to really impress Mary and, and Brian is that health


								01:22:25.300 --> 01:22:32.300

								Canada has decided to acknowledge that the SV40 enhancer and promoter sequences


								01:22:32.300 --> 01:22:38.300

								are there as evidence of double stranded DNA originating from the plasmid,


								01:22:38.300 --> 01:22:44.300

								which was used in process two manufacturing.


								01:22:44.300 --> 01:22:49.300

								Now, I find it a little interesting that Josh Getsko is the guy who kind of led


								01:22:49.300 --> 01:22:57.300

								the charge on the story of process one versus process two.


								01:22:57.300 --> 01:23:01.300

								He has been outspoken before about VAERS and other things.


								01:23:01.300 --> 01:23:10.300

								He seems to have auditioned quite early for participation in this on the team.


								01:23:10.300 --> 01:23:14.300

								And so being a part of that could mean that he's just a good guy who's been


								01:23:15.300 --> 01:23:18.300

								vigilant and working hard and pick this ball up and ran with it.


								01:23:18.300 --> 01:23:23.300

								And I hope that's the case.


								01:23:23.300 --> 01:23:30.300

								The Vyroid reference was interesting.


								01:23:30.300 --> 01:23:35.300

								That's naked RNA, which can infect plants.


								01:23:35.300 --> 01:23:42.300

								He was looking at trying to sequence Vyroids, and he needed an RNA polyA RNA control.


								01:23:42.300 --> 01:23:53.300

								And as he told me the story or told us the story on John Bodeman's St. Patrick's Day stream,


								01:23:53.300 --> 01:23:59.300

								he said that he sent out an all call to his network saying,


								01:23:59.300 --> 01:24:03.300

								hey guys, I need some polyA RNA for a control.


								01:24:03.300 --> 01:24:05.300

								Can anybody help me out?


								01:24:05.300 --> 01:24:11.300

								And then some random person sent him a box with three vials of the vaccine in it.


								01:24:11.300 --> 01:24:14.300

								That's the story that I remember.


								01:24:14.300 --> 01:24:23.300

								And so these were RNA samples that were not stored at the right temperature, shipped to him.


								01:24:23.300 --> 01:24:28.300

								And he was able to use them as controls, which also allowed them to get sequenced.


								01:24:28.300 --> 01:24:34.300

								And that's why we're here because then he found the plasmid DNA there.


								01:24:34.300 --> 01:24:39.300

								And remember that he would have assembled all kinds of little tiny fragments


								01:24:39.300 --> 01:24:42.300

								and then figured out that if you lined them up correctly,


								01:24:42.300 --> 01:24:49.300

								they reassembled into the original plasmid process, too.


								01:24:49.300 --> 01:24:53.300

								In case you're wondering, that's death on a unicorn there.


								01:24:53.300 --> 01:24:59.300

								It's for my daughter, kind of. She really likes unicorns.


								01:24:59.300 --> 01:25:06.300

								So he talked about PCR being used to produce the DNA for process one versus DNA plasmids


								01:25:06.300 --> 01:25:09.300

								plus bacteria to be used in process two.


								01:25:09.300 --> 01:25:16.300

								He did mention that the RNA being codon optimized


								01:25:16.300 --> 01:25:20.300

								and pseudoyuridine chemically altered made it stay around longer,


								01:25:20.300 --> 01:25:23.300

								was found in breast milk. He dropped a kind of all kinds of anecdotes there


								01:25:23.300 --> 01:25:25.300

								to finally say that it was a big train wreck.


								01:25:25.300 --> 01:25:33.300

								But that was about a 30 second, 15 second blip about the fact that the RNA is also bad.


								01:25:33.300 --> 01:25:36.300

								The RNA is also bad.


								01:25:36.300 --> 01:25:44.300

								Was briefly there, even though Kevin came on my stream twice in 2021 and 22


								01:25:44.300 --> 01:25:51.300

								to say many things about why the RNA itself was bad.


								01:25:51.300 --> 01:25:58.300

								And we know that the RNA could be reverse transcribed to DNA in theory.


								01:25:58.300 --> 01:26:00.300

								And so then you have DNA anyway.


								01:26:00.300 --> 01:26:07.300

								So again, we had that report earlier that there are places like in the liver


								01:26:07.300 --> 01:26:11.300

								where the line one enzyme is present and we can go backwards to DNA.


								01:26:11.300 --> 01:26:14.300

								And so then where are we? We're kind of in the same place again, right?


								01:26:14.300 --> 01:26:22.300

								So he talks about fluorometry versus PCR and using that to find double stranded DNA


								01:26:22.300 --> 01:26:37.300

								versus RNA. Many labs have now used his primers to find SV40 in these shots.


								01:26:37.300 --> 01:26:41.300

								Buck halter also used nanopore sequencing, but then only to look for his primer


								01:26:41.300 --> 01:26:46.300

								sequences, at least that's how he said it can't be true, but maybe it is.


								01:26:46.300 --> 01:26:52.300

								And then Sin Lee also used sanger sequencing to find, I don't think he went


								01:26:52.300 --> 01:27:05.300

								to look for the whole plasmid, but just for his little promoter sequences again, I think.


								01:27:05.300 --> 01:27:11.300

								So it's under the QPCR limit, which technically means then again that he didn't find a lot.


								01:27:11.300 --> 01:27:14.300

								And if you use fluorometry, then you're finding little tiny pieces


								01:27:14.300 --> 01:27:19.300

								and then you could call that being above the limit, but as he said, they're only concerned


								01:27:19.300 --> 01:27:24.300

								about longer pieces of DNA, and there's a reason for that.


								01:27:24.300 --> 01:27:28.300

								So him and Buck halter are making the argument that small pieces of DNA


								01:27:28.300 --> 01:27:31.300

								all have legatable ends, and so that makes them more dangerous.


								01:27:31.300 --> 01:27:38.300

								It's like a shotgun or a carpet bombing with the enhancer.


								01:27:38.300 --> 01:27:43.300

								But technically that's not true, I don't think, unless he's really found the enhancer


								01:27:43.300 --> 01:27:49.300

								intact, which I'm not really convinced that that's exactly what they found.


								01:27:49.300 --> 01:27:55.300

								They found lots of fragments that when you use an assembly program, you can find these things again,


								01:27:55.300 --> 01:28:02.300

								but I don't know how many intact segments of these enhancers and promoters are present.


								01:28:02.300 --> 01:28:09.300

								And I think that's part of the gray area there that's on purpose.


								01:28:09.300 --> 01:28:17.300

								And so then he talked a lot about the fact that the guidance documents surrounding these kinds of


								01:28:17.300 --> 01:28:24.300

								biologics are not up to date, and that the regulators therefore didn't really know how to regulate these things


								01:28:24.300 --> 01:28:26.300

								because they weren't up to date.


								01:28:26.300 --> 01:28:31.300

								So on top of the fact that the manufacturers tried to obfuscate what was there and how to look for it


								01:28:31.300 --> 01:28:36.300

								and whether they looked for it, the regulators themselves were also held back


								01:28:36.300 --> 01:28:47.300

								by their own out of date guidance documents.


								01:28:47.300 --> 01:28:50.300

								The genotoxicity studies were waived.


								01:28:50.300 --> 01:28:55.300

								He says, you know, it's pretty difficult to screen informatically for ribosome initiation sites.


								01:28:55.300 --> 01:29:02.300

								That's an interesting little slip there.


								01:29:02.300 --> 01:29:10.300

								And then the actual question is then, are these double-stranded DNA pieces actually integrating or not?


								01:29:10.300 --> 01:29:14.300

								Where are they integrating, how often, what are the odds, et cetera?


								01:29:14.300 --> 01:29:18.300

								And he zeroed in on one particular instance.


								01:29:18.300 --> 01:29:29.300

								And I noticed that this entire talk, this entire talk, this entire line, this entire talk, what did they not mention?


								01:29:29.300 --> 01:29:43.300

								When is the time when you would be most concerned about integration of genes, integration, or disruption of genes?


								01:29:43.300 --> 01:29:48.300

								When is the time when you would be most concerned about that?


								01:29:48.300 --> 01:29:50.300

								Would that be in an old person?


								01:29:50.300 --> 01:29:52.300

								Would that be in an adult?


								01:29:52.300 --> 01:29:56.300

								Would that be in a great big giant fat adult?


								01:29:56.300 --> 01:29:59.300

								Would that be in a teenager?


								01:29:59.300 --> 01:30:02.300

								What about a person who's already been through puberty?


								01:30:02.300 --> 01:30:06.300

								What about a pregnant woman with a fetus inside of her?


								01:30:06.300 --> 01:30:10.300

								Oh!


								01:30:10.300 --> 01:30:12.300

								So you don't want to mention that?


								01:30:12.300 --> 01:30:25.300

								You don't want to talk about that at all because gene integration into the fat cells of a 400 pound man who can't walk down the street and is 65 years old is not that dangerous.


								01:30:25.300 --> 01:30:38.300

								But injecting live-ended DNA with active mammalian promoters into pregnant women, now that might be a problem, ladies and gentlemen, we might need to back the truck up here.


								01:30:38.300 --> 01:30:48.300

								But of course we haven't mentioned that at all because we don't want to emphasize the part of the narrative which is about the malfeasance, the coercion.


								01:30:48.300 --> 01:30:54.300

								We want to emphasize the narrative about this ultra-complicated biology stuff.


								01:30:54.300 --> 01:30:57.300

								Not the really simple stuff.


								01:30:57.300 --> 01:31:02.300

								Like we didn't need to do this because people were not dying from a spreading respiratory disease.


								01:31:02.300 --> 01:31:08.300

								They were dying from ventilators and from remdesivir.


								01:31:08.300 --> 01:31:12.300

								You see where this went? How quickly this went off the rails?


								01:31:12.300 --> 01:31:19.300

								And it's because it's such a damn shiny object that nobody can stop looking at it.


								01:31:19.300 --> 01:31:23.300

								But if you understood the biology, it's actually not that shiny, okay?


								01:31:23.300 --> 01:31:27.300

								It's really not. I've got to get a new notebook here.


								01:31:27.300 --> 01:31:32.300

								I think that's number six.


								01:31:39.300 --> 01:31:43.300

								So look, here's the deal. Okay, I'm just going to make a list.


								01:31:43.300 --> 01:31:48.300

								This work.


								01:31:48.300 --> 01:32:07.300

								Okay, so first just understand this. Very simple fact, okay?


								01:32:07.300 --> 01:32:24.300

								Transfection is RNA. Transformation is DNA. If you use these processes to make proteins, you are transfecting or you are transforming your target.


								01:32:24.300 --> 01:32:36.300

								If you use an adenovirus carrying DNA to express the spike protein in a human, like in the J&J shot, you are transforming human cells.


								01:32:36.300 --> 01:32:46.300

								If you are using a lipid nanoparticle carrying an RNA to express spike protein in human cells, you are transfecting those cells.


								01:32:46.300 --> 01:32:56.300

								These two things have been products for sale as various methodologies for decades.


								01:32:57.300 --> 01:33:10.300

								And in the pandemic, we called these investigative vaccines.


								01:33:10.300 --> 01:33:18.300

								This is the story so far, okay? We know that transfection is RNA and transformation is DNA used to make proteins.


								01:33:18.300 --> 01:33:29.300

								And we know that we change the name of these processes, these methodologies without really significantly changing how they work and called them investigative vaccines.


								01:33:29.300 --> 01:33:47.300

								How do we know that's true? Because Peter Kullis told us that Peter Kullis, the great inventor of the LNP that was used to carry these transfections to our body's cells,


								01:33:47.300 --> 01:33:57.300

								told us that he burned five postdocs trying to learn how to target the LNP somewhere, and they failed.


								01:33:57.300 --> 01:34:11.300

								There's no more discussion. What do you need to talk about anymore? You don't need to burn biorum bridles, career anymore, you don't need to cite the Japanese paper, you don't need to cite the Japanese leak document.


								01:34:11.300 --> 01:34:25.300

								You can just cite the creator of the lipid nanoparticle who got screwed out of the Nobel Prize, who admitted it on camera in 2022.


								01:34:25.300 --> 01:34:33.300

								Almost in the same presentation that he said when I heard that the Pfizer data came out and was 95% effective, I opened a Scotch.


								01:34:34.300 --> 01:34:51.300

								Even though I knew in my head the lipid nanoparticle was going all over people's body and we couldn't control where it went and it maybe even went to their brain. But I had a Scotch anyway.


								01:34:51.300 --> 01:35:20.300

								The transfection in its purest form, so that would be best RNA, super pure, best top shelf LNP.


								01:35:21.300 --> 01:35:34.300

								And transfection in its purest form, it still doesn't work. It's a bad idea for healthy animals. That's the deal.


								01:35:35.300 --> 01:35:42.300

								Transfection in its purest form. But this wasn't transfection in its purest form.


								01:35:42.300 --> 01:36:04.300

								This was transfection with a foreign immunogen with human homology.


								01:36:04.300 --> 01:36:22.300

								Number one, number two, it was impure RNA that had been codon optimized.


								01:36:22.300 --> 01:36:28.300

								So that's misfolding.


								01:36:28.300 --> 01:36:41.300

								And it was also pseudoyuridine, which is premature stop.


								01:36:41.300 --> 01:36:51.300

								Plus, it's a wobble base, right? So it can be lots of different amino acids that it can code for when it goes through.


								01:36:51.300 --> 01:37:03.300

								It goes through the ribosome. And the LNP is a question for toxicity.


								01:37:03.300 --> 01:37:15.300

								And let's see, foreign immunogen, impure RNA, codon optimized, pseudoyuridine, LNP toxicity, protein fragments then, right?


								01:37:15.300 --> 01:37:21.300

								Because of these two things down here.


								01:37:21.300 --> 01:37:39.300

								And so even if transfection was in its purest form, super best RNA, super top shelf LNP, you'd still have the problem of you challenging your immune system to tell the difference between self and non-self when there are no signals related to viral infection.


								01:37:39.300 --> 01:37:45.300

								But then on top of that, you decided to use a foreign immunogen with human homologies.


								01:37:45.300 --> 01:37:52.300

								You decided to use an impure RNA rather than pure RNA. You decided to codon optimize it, which makes it misfold more.


								01:37:52.300 --> 01:38:07.300

								You decided to use pseudoyuridine to make it last longer, which also results in a wobble base and also results in premature stop codons, which results in protein fragments with unknown immunogenic quantity qualities.


								01:38:07.300 --> 01:38:12.300

								Plus the LNP toxicity is a big variable.


								01:38:12.300 --> 01:38:22.300

								And now on top of all of this, you have cDNA and endotoxin.


								01:38:22.300 --> 01:38:36.300

								And so the idea is, and I apologize, that my handwriting is very bad when I'm actually looking at the camera in here and I'm not really writing like I am on the other, I mean, just when I take notes, it looks really nice.


								01:38:36.300 --> 01:38:39.300

								But when you're watching me right, I don't write so well.


								01:38:39.300 --> 01:38:52.300

								The point is, again, I'm trying to make is that by focusing on the cDNA down here, we are ignoring that transfection in its purest form would suck.


								01:38:52.300 --> 01:38:57.300

								We're ignoring that the immunogen sucks. We're ignoring that the RNA sucked.


								01:38:57.300 --> 01:39:06.300

								We're ignoring that the codon optimization sucks. We're ignoring that the pseudoyuridine sucks, and we're ignoring that the LNP probably sucks.


								01:39:06.300 --> 01:39:18.300

								We're ignoring that these protein fragments make it suck even worse, and we're focused on this cDNA because we have this idea that maybe the regulators will finally act.


								01:39:18.300 --> 01:39:26.300

								And it's okay to think that way as long as we don't throw this list away.


								01:39:26.300 --> 01:39:41.300

								Because if we focus on the cDNA and put all of our eggs in the basket of Kevin McCurnan's observations, this is what's going to happen.


								01:39:42.300 --> 01:39:45.300

								Anti-vaxxers pretty much never come up with anything new.


								01:39:45.300 --> 01:39:53.300

								And recently, in dark, stinky corners of the internet, there have been claims about DNA contamination in COVID vaccines.


								01:39:53.300 --> 01:39:55.300

								This, again, is nothing new.


								01:39:55.300 --> 01:40:01.300

								It is recycled anti-vaccine garbage that has always been around for as long as vaccines have.


								01:40:01.300 --> 01:40:05.300

								Hey, I'm Dr. Wilson, I'm a PhD molecular biologist, and welcome to another COVID-demunking video.


								01:40:05.300 --> 01:40:11.300

								So, yeah, today I'm going to be tackling this claim that there is DNA contamination in COVID vaccines.


								01:40:11.300 --> 01:40:15.300

								But first, I want to cover some background on this topic.


								01:40:15.300 --> 01:40:24.300

								What you need to understand before learning why these claims are wrong is a little bit about how vaccines and other biologic drugs are made.


								01:40:24.300 --> 01:40:30.300

								All biological drugs, including vaccines, have a step in their manufacturing that uses cells.


								01:40:30.300 --> 01:40:38.300

								These can be mammalian cells, these can be bacterial cells, depends on the product, and what is needed.


								01:40:38.300 --> 01:40:48.300

								For example, to make insulin, which is needed to keep diabetics all over the world alive, you need bacterial cells that are genetically engineered to produce human insulin.


								01:40:48.300 --> 01:40:56.300

								Once the human insulin is made, all the bacteria and all the parts of the bacteria are separated away from the insulin, and the insulin is the drug product.


								01:40:56.300 --> 01:41:04.300

								Another example are polio vaccines. In order to get a polio vaccine, you need a virus, and the virus is grown in cells.


								01:41:04.300 --> 01:41:09.300

								But just like the insulin, the virus needs to be taken away from the cells and all the cells parts in order to make the actual vaccine product.


								01:41:09.300 --> 01:41:17.300

								Whatever the case may be, there are a slew of long-established tests that are done to ensure that your drug product has actually been removed from the cell's parts.


								01:41:17.300 --> 01:41:22.300

								There are tests that are designed to look for how much host cell DNA is left in the drug product after you have finished making it,


								01:41:22.300 --> 01:41:26.300

								same with host cell proteins, more bacterial endotoxin, and several other things.


								01:41:26.300 --> 01:41:32.300

								All of these tests are required by regulatory laws to be done on each and every lot of biological drug that goes out onto the market.


								01:41:32.300 --> 01:41:37.300

								And there are set limits as to how much residual material can be found in those drug products.


								01:41:37.300 --> 01:41:40.300

								These are very strict guidelines that pharmaceutical companies have to abide by.


								01:41:40.300 --> 01:41:45.300

								In addition to good manufacturing procedure, which is abbreviated GMP, we also have good documentation procedure and good lab procedures.


								01:41:45.300 --> 01:41:47.300

								All of this can be summarized as just GXP.


								01:41:47.300 --> 01:41:50.300

								So moving forward, I'll be referring to all of these guidelines as GXP.


								01:41:50.300 --> 01:41:55.300

								If any of those GXP guidelines are not met or there are deviations from their protocols, then that is a huge no-no,


								01:41:55.300 --> 01:42:02.300

								and it would result in a lot not even going out in the first place, or being recalled, or a number of other things, including fines and disciplinary actions against those responsible.


								01:42:02.300 --> 01:42:05.300

								So it's kind of a big deal, which is why there are many layers to these regulations.


								01:42:05.300 --> 01:42:10.300

								The pharmaceutical company itself is required to do in-house testing to show that their product meets all of these regulations,


								01:42:10.300 --> 01:42:14.300

								and the regulatory body, in this case for the US being the FDA, will double check those results,


								01:42:14.300 --> 01:42:19.300

								meaning that they can perform their own testing in their own labs, and furthermore, when those drugs go out to other countries,


								01:42:19.300 --> 01:42:23.300

								those other countries' own regulatory bodies will also do in-house testing on the products that they receive.


								01:42:23.300 --> 01:42:28.300

								Again, by the end of it, the levels of residual host cell protein, DNA, whatever, have to be below a certain set limit.


								01:42:28.300 --> 01:42:31.300

								Anything below that certain set limit is considered to be trace amounts.


								01:42:31.300 --> 01:42:35.300

								And in those trace amounts, these materials will not have a biological effect on whoever receives the drug.


								01:42:35.300 --> 01:42:39.300

								So in other words, if there is no biological effect being exerted by these materials in these trace amounts,


								01:42:39.300 --> 01:42:42.300

								then for all intents and purposes, they might as well not be there.


								01:42:42.300 --> 01:42:46.300

								So that's what we mean when we say, no, there is no contamination in these materials.


								01:42:46.300 --> 01:42:56.300

								So do you see how easy it would be for CHD to tie their ropes to Kevin McCurnan and start to fight on his behalf,


								01:42:56.300 --> 01:42:58.300

								maybe even give him a T-shirt?


								01:42:58.300 --> 01:43:04.300

								And then because we have put all of our eggs in the CDNA contamination basket,


								01:43:04.300 --> 01:43:14.300

								even if a very small fraction of what Dan Wilson says in this video is really dead on balls accurate,


								01:43:14.300 --> 01:43:24.300

								it's still going to be sufficient for the vast majority of his viewership to discard Kevin McCurnan as an anti-vaxxer.


								01:43:24.300 --> 01:43:30.300

								And as we watch this, you're going to see that a lot of the objections that he brings up are the same kind of objections


								01:43:30.300 --> 01:43:37.300

								that somebody sitting on the FDA board would bring up, same kind of objections that other people on Twitter bring up.


								01:43:38.300 --> 01:43:47.300

								And so unless we're really ready to go toe to toe with these people on the molecular biology, or Kevin is willing to do it,


								01:43:47.300 --> 01:43:56.300

								then we're setting ourselves up essentially to substitute and jump into the ring instead of Kevin.


								01:43:56.300 --> 01:44:04.300

								And instead of Kevin's co-authors, CHD is about to jump in front and say, well,


								01:44:04.300 --> 01:44:11.300

								health Canada says, and Kevin McCurnan says, so children's health defense says,


								01:44:11.300 --> 01:44:19.300

								and now debunk the funk, and a bunch of other people can accuse us of being completely wrong.


								01:44:19.300 --> 01:44:25.300

								Whereas if I think we stuck to this list I just put up, starting with the fact that


								01:44:25.300 --> 01:44:31.300

								transfection in its purest form is still a stupid idea in healthy people,


								01:44:31.300 --> 01:44:35.300

								we would have a lot stronger, solid ground to stand on,


								01:44:35.300 --> 01:44:39.300

								and by the time we got to complaining about the CDNA contamination,


								01:44:39.300 --> 01:44:43.300

								we would have already hit a home run or a grand slam.


								01:44:43.300 --> 01:44:48.300

								A couple people would have already crossed the plate, you know what I mean?


								01:44:49.300 --> 01:44:57.300

								And I'm very worried about this idea that we are being baited into accepting this as a whoa, this is great.


								01:44:57.300 --> 01:45:01.300

								And now the regulators will call it off the market for a few months,


								01:45:01.300 --> 01:45:06.300

								and then when a new one comes on the market and the regulators have really cracked down,


								01:45:06.300 --> 01:45:11.300

								and there's no more DNA in these shots,


								01:45:11.300 --> 01:45:16.300

								then everybody will be bamboozled again.


								01:45:16.300 --> 01:45:23.300

								Because transfection has been given a pass because of the CDNA contamination.


								01:45:23.300 --> 01:45:27.300

								He already believes transfection works great.


								01:45:27.300 --> 01:45:35.300

								Don't forget that half of the country doesn't know that transfection is a terrible idea.


								01:45:35.300 --> 01:45:42.300

								So it's not really a good idea to bring those people to the truth by first telling them an anecdote


								01:45:42.300 --> 01:45:54.300

								that, yeah, there's some contamination in there, and that might integrate into your genome.


								01:45:54.300 --> 01:45:56.300

								We've got to be very, very careful.


								01:45:56.300 --> 01:45:59.300

								Listen to the rest of this video just so you can see what I'm talking about.


								01:45:59.300 --> 01:46:03.300

								This is not funny.


								01:46:03.300 --> 01:46:10.300

								He's got a team of people, you know, he didn't do this all by himself.


								01:46:10.300 --> 01:46:14.300

								Other people seem to think that they've found differently, and it's quite a funny story, so let's get into it.


								01:46:14.300 --> 01:46:18.300

								So when it comes to COVID mRNA vaccines, some people who have a history of subscribing to anti-vaccine


								01:46:18.300 --> 01:46:23.300

								kind of deranged conspiracy theories claim to have found plasmid DNA in the mRNA vaccines.


								01:46:23.300 --> 01:46:25.300

								What is plasmid DNA, you might ask?


								01:46:25.300 --> 01:46:29.300

								Well, it comes from the manufacturing process used in making mRNA vaccines.


								01:46:29.300 --> 01:46:31.300

								A plasmid is a circular piece of DNA that can be taken up.


								01:46:31.300 --> 01:46:34.300

								You know what's most frustrating about this for me?


								01:46:34.300 --> 01:46:48.300

								That this whole story of using plasmid DNA in process two is exactly what I'm talking about when I say that they make infectious clones to study RNA viruses.


								01:46:48.300 --> 01:46:54.300

								It is exactly this process, and it is exactly as Kevin McCurnan said in that stream.


								01:46:54.300 --> 01:46:58.300

								They can make as much as they want.


								01:46:58.300 --> 01:47:07.300

								There's no limit. They have an infinite amount of plasmid. All they have to do is keep feeding the bacteria.


								01:47:07.300 --> 01:47:24.300

								That's why infectious clones can be used to create a pandemic, because you're not relying on some kind of magical RNA to be ridiculously high fidelity for three years and circulate the globe in a cartoon-like fashion.


								01:47:25.300 --> 01:47:32.300

								You're relying on brute force.


								01:47:32.300 --> 01:47:40.300

								RNA is a bit like paint. It doesn't replicate itself very well. It dilutes.


								01:47:40.300 --> 01:47:51.300

								So if I go outside of my garage and spill a bucket of paint on the ground, the only way it's going to spread is if people walk through it.


								01:47:51.300 --> 01:47:58.300

								And maybe if you were really careful, you could scoop up enough paint so that you could get some paint on the house next door.


								01:47:58.300 --> 01:48:03.300

								And you could argue that, wow, the blue paint is spreading everywhere.


								01:48:03.300 --> 01:48:10.300

								But to say that all the houses in Pittsburgh are because I dump paint in the backyard would be ridiculous.


								01:48:10.300 --> 01:48:20.300

								But if I had a giant truck full of blue paint, I could drive all around Pittsburgh and spread it all over the place and make it look like my paint had spread all over.


								01:48:20.300 --> 01:48:29.300

								But anybody who knows how paint works would be like, well, it couldn't have been Jay's fault for spilling it in his backyard that it got all over Squirrel Hill in Pittsburgh.


								01:48:29.300 --> 01:48:34.300

								That's impossible. Paint doesn't work like that.


								01:48:34.300 --> 01:48:41.300

								And there should be lots of biologists that are saying that RNA viruses don't pandemic.


								01:48:41.300 --> 01:48:49.300

								But infectious clones could be used to make it look like they was a pandemic.


								01:48:49.300 --> 01:49:04.300

								There should be hundreds, if not thousands, of biologists saying this just from a rudimentary understanding of the difference between double-stranded DNA and its copying versus single-stranded RNA and its copying.


								01:49:04.300 --> 01:49:18.300

								But instead, the moment I started talking about infectious clones as the ubiquitous way with which we study at RNA virology, Kevin McCernan himself got so tired of arguing about it


								01:49:18.300 --> 01:49:24.300

								that he blocked me on Twitter.


								01:49:24.300 --> 01:49:37.300

								This is not insignificant, ladies and gentlemen, that for process two and for making of the spike protein for all these different vaccines, it's fine to talk about recombinant DNA being replicated in a bacterial culture.


								01:49:37.300 --> 01:49:46.300

								But if I talk about how they do that with all coronaviruses all the time, and that barracks the guy who invented it and made it ubiquitous for everybody,


								01:49:46.300 --> 01:49:58.300

								and that's how they share these things, they send these clones around, all the stored viruses at the CDC are actually clones, and everybody got mad.


								01:49:58.300 --> 01:50:02.300

								Oh, no, you're an idiot. Don't listen to him.


								01:50:02.300 --> 01:50:06.300

								He's compromised.


								01:50:06.300 --> 01:50:19.300

								It is the standard technique by which they make all biologics. Do you hear it? It's the standard technique by which they make all biologics.


								01:50:19.300 --> 01:50:26.300

								That is the reason why the clone story is the answer.


								01:50:26.300 --> 01:50:35.300

								You can't make a little bit of an RNA virus and then let it loose and have it go change the world. That's not how RNA works.


								01:50:35.300 --> 01:50:39.300

								And these people all know it. They have to.


								01:50:39.300 --> 01:50:45.300

								Or they're participating in kind of a I don't want to know kind of thing.


								01:50:45.300 --> 01:50:51.300

								Because all you got to do is let your brain work. And this becomes basic biology.


								01:50:51.300 --> 01:50:57.300

								By things like bacteria and then expressed, meaning that the DNA can be read by cellular machinery and made into mRNA.


								01:50:57.300 --> 01:51:02.300

								Once the mRNA is made, the DNA is chopped up and the pieces are mostly removed from the final drug product.


								01:51:02.300 --> 01:51:15.300

								But this guy, a Mr Kevin McKernan, claims that he has gotten some vials of COVID mRNA vaccine and has found contamination of plasma DNA in the vaccine vials at levels orders of magnitude higher and the regulated limit.


								01:51:15.300 --> 01:51:22.300

								Wow, this should be good. He has written up his results and posted them on this regulation free preprint server, meaning that there's no safeguard, no peer review.


								01:51:22.300 --> 01:51:27.300

								We already go back to Kevin's talk and already preview what's going to happen here, right?


								01:51:27.300 --> 01:51:35.300

								The orders of magnitude statement comes from the fluorometry versus the QPCR.


								01:51:35.300 --> 01:51:41.300

								And in the discussion with Mary and Brian, Kevin was very clear.


								01:51:41.300 --> 01:51:50.300

								Using QPCR, they found levels of DNA lower than the minimum required or minimum allowed.


								01:51:50.300 --> 01:51:57.300

								But with using fluorometry, they found several orders of magnitude more than that.


								01:51:57.300 --> 01:52:10.300

								And so the argument that Dan is going to make is that fluorometry isn't an accurate representation of dangerous DNA because it's picking up all kinds of tiny little fragments.


								01:52:10.300 --> 01:52:15.300

								That's the exact argument that's going to happen here. Now, who wins that argument?


								01:52:15.300 --> 01:52:18.300

								What's the right answer there? Do you know?


								01:52:18.300 --> 01:52:21.300

								I thought this was just a home run.


								01:52:21.300 --> 01:52:26.300

								That even goes into what people can post on it, so it's not peer reviewed and it's not checked by anybody before it goes up.


								01:52:26.300 --> 01:52:30.300

								But that really doesn't even begin to describe the many problems with what he has presented here.


								01:52:30.300 --> 01:52:38.300

								So let's start with this. He writes that the COVID mRNA vaccine vials were sent to him anonymously in the mail without cold packs.


								01:52:38.300 --> 01:52:43.300

								Oh, wait, you serious? Let me laugh even harder.


								01:52:43.300 --> 01:52:46.300

								I could honestly end the video right here. That is really bad.


								01:52:46.300 --> 01:52:49.300

								This already violates the good documentation procedure of GXP guidelines.


								01:52:49.300 --> 01:52:53.300

								Not only do you have no idea who handled those vials before you receive them.


								01:52:53.300 --> 01:52:58.300

								Now, remember the story that he told Mary was that he didn't really mean to sequence the vials. It wasn't his intention.


								01:52:58.300 --> 01:53:07.300

								He just wanted a standard polyA RNA to control the experiment that he was doing.


								01:53:07.300 --> 01:53:17.300

								But look how inconvenient that aspect of the experiment is if someone from the other side can completely make fun of it.


								01:53:17.300 --> 01:53:22.300

								And it's not really that bad of a critique, right? I mean, it is.


								01:53:22.300 --> 01:53:34.300

								You should really probably start with a fresh vial, right? You should at least know where it was or how long it wasn't chilled like.


								01:53:35.300 --> 01:53:38.300

								But they're clearly not stored properly if they're not even sent on cold packs.


								01:53:38.300 --> 01:53:41.300

								Any self-respecting scientist would immediately recognize that this is not the right way to do this experiment.


								01:53:41.300 --> 01:53:46.300

								A competent and self-respecting scientist would make sure that they do the experiment right and actually have vials that have documentation


								01:53:46.300 --> 01:53:52.300

								so that they can show who handled them before they received them, but they were stored properly and make sure that there's no funny business going on with whatever you're testing.


								01:53:52.300 --> 01:53:55.300

								But we're not dealing with one of those people here and I'm not ending the video here.


								01:53:55.300 --> 01:54:00.300

								I'm going to be thorough and look at the results that they actually obtained with these mystery garbage vials.


								01:54:01.300 --> 01:54:07.300

								Let's go back to what I said earlier about there being tests to determine whether or not residual materials in your drug product are actually below the regulated acceptable limit.


								01:54:07.300 --> 01:54:12.300

								In order to demonstrate that tests are done to quantify the levels of residual materials in the drug product.


								01:54:12.300 --> 01:54:16.300

								So the obvious question is, I mean, you could even make the argument that the FDA would say the same thing, right?


								01:54:16.300 --> 01:54:19.300

								We don't know where these vials were. You got them in the mail, they were garbage.


								01:54:19.300 --> 01:54:23.300

								We're not going to take your word for these.


								01:54:23.300 --> 01:54:26.300

								They might even say to you that that was illegal.


								01:54:26.300 --> 01:54:29.300

								There's a law that these are the property of the government.


								01:54:29.300 --> 01:54:34.300

								You're not allowed to do anything with them except to inject them in people's arms or it's against the law.


								01:54:34.300 --> 01:54:35.300

								It's a federal law.


								01:54:35.300 --> 01:54:37.300

								They could even say that.


								01:54:37.300 --> 01:54:40.300

								That's where we are right now.


								01:54:40.300 --> 01:54:48.300

								Is CHD going to put their name on this and then get accused of doing something illegal or supporting the illegal something something?


								01:54:48.300 --> 01:54:50.300

								I don't know. I don't know that that's going to happen.


								01:54:50.300 --> 01:54:51.300

								I'm not a lawyer.


								01:54:51.300 --> 01:55:05.300

								I'm just saying it ain't so cut and dry as let's give Kevin McCurn in a sweatshirt and hat and get him on the team and give him a baseball bat and get him up to the plate.


								01:55:05.300 --> 01:55:10.300

								Here is did have here actually quantify the levels of plasma DNA in the vials.


								01:55:10.300 --> 01:55:12.300

								Well, he tried, but he didn't really.


								01:55:12.300 --> 01:55:15.300

								The key figure here in his blog post is this one.


								01:55:15.300 --> 01:55:17.300

								This is where he tried to make a standard curve.


								01:55:17.300 --> 01:55:23.300

								If you want to have a standard curve made up of known values so that you can compare your unknown samples against it and actually quantify a value.


								01:55:23.300 --> 01:55:37.300

								So this is his attempted standard curve where he just ran some known amounts of DNA on a PCR and then on a seemingly separate PCR assay ran his material from the vaccine vials and just compared the two separate assays, which not good.


								01:55:37.300 --> 01:55:38.300

								You don't want to do that.


								01:55:38.300 --> 01:55:41.300

								You ideally want to compare them within the same assay, but there's a lot more wrong here.


								01:55:41.300 --> 01:55:43.300

								So let's go right to the meat of what is wrong.


								01:55:43.300 --> 01:55:45.300

								There's a lot of analysis missing from this standard curve.


								01:55:45.300 --> 01:55:51.300

								He just reports that this certain value came up around cycle 20 and seems to be fine with just mentioning that.


								01:55:51.300 --> 01:55:53.300

								So I analyze the data for him.


								01:55:53.300 --> 01:55:57.300

								Whenever you make a standard curve in a quantitative PCR experiment, there are several basic things that you really should do.


								01:55:57.300 --> 01:56:01.300

								Two of those basic things is calculating the linearity and efficiency of your reaction.


								01:56:01.300 --> 01:56:02.300

								Again, he didn't do that here.


								01:56:02.300 --> 01:56:03.300

								So I did it for him.


								01:56:03.300 --> 01:56:07.300

								The linearity of his standard curve looks fine, but the efficiency of the reaction is where he run into a problem.


								01:56:07.300 --> 01:56:11.300

								In any PCR, the number of molecules present should double with each cycle.


								01:56:11.300 --> 01:56:14.300

								And the efficiency of a quantitative PCR reaction is measuring that.


								01:56:14.300 --> 01:56:16.300

								It's measuring how efficient the reaction was.


								01:56:16.300 --> 01:56:23.300

								Usually in GXP world and just across the board, a range of 90 to 110 percent efficiency is considered acceptable.


								01:56:23.300 --> 01:56:25.300

								Kev's efficiency here was around 70 percent.


								01:56:25.300 --> 01:56:35.300

								There could be many reasons that a PCR's efficiency would be low like this, but normally those reasons will be ironed out when you're actually qualifying your standard operating procedure for your assay, which Kev didn't do.


								01:56:35.300 --> 01:56:45.300

								Now, because he didn't actually post his mean cycle threshold values, I didn't have precise numbers to plug into this calculator, but I judged as best as I could, and I was even as generous as possible with the decimal points.


								01:56:45.300 --> 01:56:48.300

								But no matter how much I played with it, I couldn't get the efficiency above 75 percent.


								01:56:48.300 --> 01:56:51.300

								So let's be generous and say that the efficiency of the reaction was 75 percent.


								01:56:51.300 --> 01:56:55.300

								In a GXP experiment, that would invalidate the entire experiment.


								01:56:55.300 --> 01:56:57.300

								So essentially his assay failed, and his results are unusable.


								01:56:57.300 --> 01:56:58.300

								And there's good reason for this.


								01:56:58.300 --> 01:57:04.300

								If the efficiency is low, that means that the curves on this graph here are artificially shifted to the right, which means that you're not really making a difference.


								01:57:04.300 --> 01:57:06.300

								You're not really measuring accurate numbers at all.


								01:57:06.300 --> 01:57:08.300

								Just for comparison, here are data that I pulled from one of my experiments.


								01:57:08.300 --> 01:57:11.300

								You can see that the efficiency is well within range, and when the arity is pretty good.


								01:57:11.300 --> 01:57:12.300

								This is a passing assay.


								01:57:12.300 --> 01:57:13.300

								This is a failing assay.


								01:57:13.300 --> 01:57:20.300

								Kev is trying to criticize pharmaceutical companies' manufacturing processes while not being able to meet the standards of good manufacturing procedures himself.


								01:57:20.300 --> 01:57:27.300

								The theme from earlier when I talked about where the samples came from of just not taking the time to do this experiment the right way is very consistent throughout this whole thing.


								01:57:27.300 --> 01:57:28.300

								And yeah, there's more, it gets worse.


								01:57:28.300 --> 01:57:33.300

								So already he's failed the good documentation procedures, and now he has failed his actual assay, his experiment.


								01:57:33.300 --> 01:57:37.300

								But let's forgive that and move on and analyze the data further for tending like it's valid.


								01:57:37.300 --> 01:57:42.300

								Because remember, he claims to have found DNA in amounts that are orders of magnitude higher than what the regulatory limits set.


								01:57:42.300 --> 01:57:44.300

								So did he actually find that much DNA?


								01:57:44.300 --> 01:57:46.300

								Well, no, he didn't care ready for this one.


								01:57:46.300 --> 01:57:49.300

								In order to calculate how much DNA you actually have in your drug product, you have to do a few things.


								01:57:49.300 --> 01:57:56.300

								Once you have your standard curve and you're unknown plotted against it, it depends whether or not your standard curve is measuring copies or gram amounts.


								01:57:56.300 --> 01:57:58.300

								Kev's standard curve here is in gram amounts, and that's fine.


								01:57:58.300 --> 01:57:59.300

								We can work with that.


								01:57:59.300 --> 01:58:03.300

								And so I did, I put all the math involved here into a Google Excel sheet that you can access and look at yourself.


								01:58:03.300 --> 01:58:04.300

								It's in the description below.


								01:58:04.300 --> 01:58:05.300

								So go check that out.


								01:58:05.300 --> 01:58:06.300

								You want to check my math?


								01:58:06.300 --> 01:58:18.300

								But to make this as simple as possible, if I am as generous as possible, and I assume that all of the DNA copies that he has measured in this experiment are representing full-length intact plasmid, the total gram amount in a single dose of COVID vaccine would be 81 nanograms.


								01:58:18.300 --> 01:58:21.300

								So that's not orders of magnitude higher than regulatory limits.


								01:58:21.300 --> 01:58:24.300

								But we're not dealing with full-length intact plasmid here.


								01:58:24.300 --> 01:58:30.300

								Again, remember what I said about the manufacturing process, where after the mRNA is made, the DNA gets chopped up and mostly removed from the drug product.


								01:58:30.300 --> 01:58:32.300

								The DNA is going to be in pieces.


								01:58:32.300 --> 01:58:36.300

								So normally what people would do is look at the average length size of DNA in the final product.


								01:58:36.300 --> 01:58:38.300

								This can be done by doing what's called an electroph diagram.


								01:58:38.300 --> 01:58:39.300

								Kev actually did one.


								01:58:39.300 --> 01:58:43.300

								And he shows that most of the DNA in the vial is fragmented.


								01:58:43.300 --> 01:58:44.300

								In fact, it's very short.


								01:58:44.300 --> 01:58:46.300

								About 100 base pairs is the biggest peak that he gets.


								01:58:46.300 --> 01:58:50.300

								The full-length plasmid is going to be on the order of 15,000 bases.


								01:58:50.300 --> 01:58:52.300

								Okay, so this is a false argument, right?


								01:58:52.300 --> 01:58:54.300

								We also said this earlier.


								01:58:54.300 --> 01:58:57.300

								The idea that you need the whole plasmid is not the deal.


								01:58:57.300 --> 01:59:12.300

								The deal is that you need a meaningful size of DNA that's not supposed to be there, that it gives a potential for this integration or potential for mRNA production or potential for translocation to the nucleus.


								01:59:12.300 --> 01:59:17.300

								Some additional problem because of the DNA being there.


								01:59:18.300 --> 01:59:25.300

								So he's kind of, you know, making a crappy argument here that we can't find any full plasmid so it's no big deal.


								01:59:25.300 --> 01:59:37.300

								And this is kind of in parallel, but the flip side to Kevin and Buckhalter's argument that the smaller these pieces are, the more active ends there are, and that's kind of like carpet bombing the genome.


								01:59:37.300 --> 01:59:40.300

								Now, let's just listen.


								01:59:40.300 --> 01:59:48.300

								So while Kev's own results show that most of the DNA is fragmented, he doesn't show an average base pair length, which is what you would use to calculate how much DNA you actually have.


								01:59:48.300 --> 02:00:00.300

								So I looked at some historical data for similar biological products and similar electropharium curves, and I think 800 to 1,000 base pairs is a good average to estimate for average base pair length in this sample.


								02:00:00.300 --> 02:00:04.300

								I'll be generous and say 1,000 base pairs is the average length, so knowing that and knowing how many...


								02:00:04.300 --> 02:00:12.300

								That we know is wrong from Buckhalter's estimation. The smallest... the pieces are really much tinier than that, so this is wrong.


								02:00:12.300 --> 02:00:20.300

								This is definitely, at least from the perspective of trying to debunk Kevin and Buckhalter's work, this is wrong.


								02:00:20.300 --> 02:00:38.300

								And so you shouldn't be surprised. I'm not surprised that the debunk and his team or his helpers are going to get some of this incorrect, or at least represented disingenuously by saying that the average length of the double stranded plasma is 1,000 base pairs.


								02:00:38.300 --> 02:00:49.300

								I'm pretty sure Kevin didn't say that, and I'm pretty sure that Buckhalter actually measured them with the nanopore sequencing, and we could probably go back and look.


								02:00:49.300 --> 02:01:00.300

								But I think that I think that was also, they were much, much tinier, and that was Buckhalter's full argument was that they were so small, and that's what makes them not work.


								02:01:00.300 --> 02:01:03.300

								It's going to take me a while to find that. I'll just keep it plain.


								02:01:03.300 --> 02:01:10.300

								Because you measured in the actual QPCR reaction, you can calculate the nanogram amount of DNA, which comes out to five nanograms.


								02:01:10.300 --> 02:01:13.300

								That's about how much DNA Kev actually measured in this experiment.


								02:01:13.300 --> 02:01:15.300

								He keeps calling him Kev.


								02:01:15.300 --> 02:01:18.300

								He keeps calling him Kev. That to me is a little weird.


								02:01:18.300 --> 02:01:22.300

								I've never called him Kev, and I've actually had him on my stream.


								02:01:22.300 --> 02:01:28.300

								I had a good friend when I was a kid, though, Kevin. I used to call Kev a lot, but...


								02:01:28.300 --> 02:01:35.300

								On multiple levels, and was done on mystery vials with no documentation history, and he thought that this was a big find.


								02:01:35.300 --> 02:01:40.300

								Okay, so moving on a little bit, that five nanogram amount?


								02:01:40.300 --> 02:01:47.300

								Remember, that is me being as generous as possible with the numbers, and also ignoring the fact that his QPCR efficiency failed, which means that his standard curve is...


								02:01:47.300 --> 02:01:52.300

								Actually shifted to the left, which means that his samples are going to be an even lower gram amount on that standard curve.


								02:01:52.300 --> 02:01:57.300

								So, if this experiment was done the right way, you would probably get an even lower gram amount than what is shown here.


								02:01:57.300 --> 02:02:02.300

								So how do we know that Kev is wrong without even doing any of this analysis of his garbage data?


								02:02:02.300 --> 02:02:06.300

								We know because, again, regulatory bodies do this for us, and we've seen the results.


								02:02:06.300 --> 02:02:10.300

								For example, here's a summary of COVID vaccine batch release information from Australia.


								02:02:10.300 --> 02:02:15.300

								These vials were made by Pfizer, tested in-house by them, released by the regulatory body, and then went to Australia.


								02:02:15.300 --> 02:02:19.300

								And their regulatory body tested it themselves, and found that it passed all of the criteria.


								02:02:19.300 --> 02:02:26.300

								That means that all of the residual plasmid, the hostel DNA, the hostel proteins, the endotoxin, everything was below the acceptable limit, meaning that it was in trace amounts.


								02:02:26.300 --> 02:02:28.300

								In other words, practically nothing there.


								02:02:28.300 --> 02:02:36.300

								So either there's a global conspiracy among pharmaceutical companies and regulatory bodies all over the world, everyone's lying, or Kev just has no idea what he's doing.


								02:02:36.300 --> 02:02:38.300

								I think it's the latter.


								02:02:38.300 --> 02:02:42.300

								So you might think that that's the end of this video, but, oh no, there's more, it gets worse.


								02:02:42.300 --> 02:02:47.300

								So after blogging about these findings, Kev went on to say that these findings have health implications.


								02:02:47.300 --> 02:02:57.300

								He went on to claim that a promoter, which is a DNA sequence that sits in front of a gene on DNA and helps the DNA actually get read by cellular machinery, is somehow going to cause cancer.


								02:02:57.300 --> 02:03:08.300

								Yeah, he thinks that a promoter is somehow going to get into your cell nucleus and integrate itself into your DNA and just happen to integrate in front of a gene that, if misregulated, would contribute to cancer.


								02:03:08.300 --> 02:03:11.300

								And this is exactly what I just said.


								02:03:11.300 --> 02:03:17.300

								So parts he gets right, parts he gets wrong, parts he gets right again.


								02:03:17.300 --> 02:03:20.300

								It's exactly the bamboozlement.


								02:03:20.300 --> 02:03:38.300

								It's exactly how it always happens with Rogan, with Weinstein, with with Robert Malone and Steven Hadfield, with Rick Bright, with Tony Fauci, with EcoHealth Alliance, with Bobby Kennedy, with everyone.


								02:03:39.300 --> 02:03:44.300

								It's extraordinary how nobody can seem to get it straight.


								02:03:44.300 --> 02:03:49.300

								And they all make catastrophic errors when it comes to the faith.


								02:03:49.300 --> 02:03:55.300

								The faith in a novel virus, the faith in a million people dying and a million people could have been saved.


								02:03:55.300 --> 02:04:02.300

								The faith in the RNA and that it did something, the faith in gain of function and that a virus will come again.


								02:04:03.300 --> 02:04:12.300

								So let's argue about contamination of the shot with CDNA derived from the process to that they lied about.


								02:04:17.300 --> 02:04:24.300

								You know, this would be a pretty stupid idea if there were no evidence of random external promoters integrating themselves into your DNA.


								02:04:24.300 --> 02:04:25.300

								There isn't.


								02:04:25.300 --> 02:04:30.300

								It would be doubly stupid if we weren't regularly exposed to DNA viruses that have promoters in their genomes.


								02:04:30.300 --> 02:04:36.300

								We are just like anti-vaxxers who have come before him, who have tried to fear monger to the public about imaginary contaminations in vaccines.


								02:04:36.300 --> 02:04:37.300

								He's doing it again.


								02:04:37.300 --> 02:04:38.300

								And in a really bad way.


								02:04:38.300 --> 02:04:44.300

								So in summary, the experiments that claim to show DNA contamination in COVID vaccines are very sloppily done.


								02:04:44.300 --> 02:04:47.300

								Because they're so poorly done, they're not even considered valid by regulatory standards.


								02:04:47.300 --> 02:04:49.300

								And we actually analyze the invalid data.


								02:04:49.300 --> 02:04:53.300

								We see that it's actually consistent with the levels being below regulatory limits.


								02:04:53.300 --> 02:04:56.300

								And on top of all that, what Kev has done might be illegal.


								02:04:56.300 --> 02:05:03.300

								According to federal law, COVID vaccines are the property of the federal government and can only be used, administered, or handled by approved bodies.


								02:05:03.300 --> 02:05:07.300

								I don't think that Kev's lab is an approved body for handling federal property.


								02:05:07.300 --> 02:05:09.300

								So, yeah, it might be illegal.


								02:05:09.300 --> 02:05:10.300

								More on that later, maybe.


								02:05:10.300 --> 02:05:11.300

								Anyway, that's going to do it for this week's video.


								02:05:11.300 --> 02:05:12.300

								That was pretty fun for me.


								02:05:12.300 --> 02:05:14.300

								And thank you so much for watching.


								02:05:14.300 --> 02:05:15.300

								I really do appreciate it.


								02:05:15.300 --> 02:05:19.300

								If you've enjoyed this video, then don't forget to like it and subscribe so that you can catch me next week, where I'll be debunking some more.


								02:05:20.300 --> 02:05:26.300

								So, don't forget, there's another one because, of course, that was the first preprint.


								02:05:26.300 --> 02:05:28.300

								And now this is the second preprint.


								02:05:28.300 --> 02:05:29.300

								And he did it again.


								02:05:29.300 --> 02:05:32.300

								Yes, he did it again.


								02:05:37.300 --> 02:05:40.300

								Support what the author was claiming in the slightest.


								02:05:40.300 --> 02:05:45.300

								Now, there's another preprint by the same author claiming the same thing, that there's DNA contamination.


								02:05:45.300 --> 02:05:47.300

								And now he's got a Carnegie Mellon sweater.


								02:05:47.300 --> 02:05:50.300

								Are far above the allowable FDA limits.


								02:05:50.300 --> 02:05:53.300

								And it's just as wrong and sloppy as the first one.


								02:05:53.300 --> 02:05:56.300

								But a lot of you have been asking me to debunk it, so here we go.


								02:05:56.300 --> 02:06:01.300

								I will tell you exactly how this paper is so sloppy that it is practically useless, again.


								02:06:01.300 --> 02:06:07.300

								And I will tell you everything you need to know to understand why this story is wrong to begin with.


								02:06:07.300 --> 02:06:09.300

								Just for those who don't know, this is a preprint.


								02:06:09.300 --> 02:06:11.300

								That means it has not been peer reviewed.


								02:06:11.300 --> 02:06:12.300

								But that's not why it's wrong.


								02:06:12.300 --> 02:06:14.300

								So, let's get into what makes it wrong.


								02:06:14.300 --> 02:06:19.300

								Before we get to the data, I'm just going to jump the gun a little bit and tell you why this whole idea was wrong to begin with.


								02:06:19.300 --> 02:06:26.300

								Every single biologic or drug that uses biological materials in the manufacturing process needs to go through certain quality control standards in order to get FDA approval.


								02:06:26.300 --> 02:06:30.300

								And each subsequent batch that goes out to the public also needs to pass those same quality control standards.


								02:06:30.300 --> 02:06:33.300

								This is a whole regulatory area called good manufacturing practice, and it is global.


								02:06:33.300 --> 02:06:39.300

								Flashing across your screen right now are just some of the tests that each and every COVID mRNA vaccine batch had to pass before it went out to the public.


								02:06:39.300 --> 02:06:44.300

								This includes quantifying residual DNA left by the plasmid. That is used in the manufacturing process to make the mRNA.


								02:06:44.300 --> 02:06:46.300

								These tests are done both by the manufacturers and also by...


								02:06:46.300 --> 02:06:48.300

								That's funny. That's what you call contract research.


								02:06:48.300 --> 02:06:49.300

								That's funny.


								02:06:49.300 --> 02:06:51.300

								The results are then reviewed by regulatory bodies before the loss.


								02:06:51.300 --> 02:06:58.300

								The title of that one was proposed testing for prasmin DNA prior to release.


								02:06:58.300 --> 02:07:02.300

								It says proposed testing.


								02:07:02.300 --> 02:07:05.300

								So he's kind of misrepresenting this.


								02:07:05.300 --> 02:07:09.300

								Flying residual DNA left by the plasmid. That is used in the manufacturing process to make the mRNA.


								02:07:09.300 --> 02:07:13.300

								These tests are done both by the manufacturers and also by third parties, which are called contract research organizations.


								02:07:13.300 --> 02:07:16.300

								The results are then reviewed by regulatory bodies before the loss can go out to the public.


								02:07:16.300 --> 02:07:17.300

								Each test is qualified...


								02:07:17.300 --> 02:07:18.300

								There's an Australian...


								02:07:18.300 --> 02:07:19.300

								Is qualified in...


								02:07:19.300 --> 02:07:21.300

								Not sure that happened in America.


								02:07:21.300 --> 02:07:30.300

								The assay itself and the reagents take significant effort to demonstrate that they are actually measuring what the test is designed to measure and that it can demonstrate purity or contamination or lack thereof in whatever the context may be.


								02:07:30.300 --> 02:07:32.300

								The point is there is a lot of work that goes into this.


								02:07:32.300 --> 02:07:34.300

								A lot of people do these tests and a lot of regulatory bodies all over the world.


								02:07:34.300 --> 02:07:35.300

								Look at the results.


								02:07:35.300 --> 02:07:40.300

								So if these results are going to be overturned, then you need something of equal rigor to overturn them.


								02:07:40.300 --> 02:07:43.300

								And these preprints are nowhere near that level of rigor.


								02:07:43.300 --> 02:07:54.300

								It does really seem like the only thing he has to stand on is the idea that the SV40 promoter was removed from the EMA document that was submitted to Canada and to the European Union.


								02:07:54.300 --> 02:08:01.300

								And this allows them to title that video intent to deceive.


								02:08:02.300 --> 02:08:06.300

								Other than that, it doesn't seem as though there's a tremendous amount of evidence.


								02:08:06.300 --> 02:08:18.300

								They said that they were trying to correlate the amount of DNA in different lots to the outcomes, the VAERS outcomes.


								02:08:18.300 --> 02:08:20.300

								But we didn't see any of that data.


								02:08:20.300 --> 02:08:22.300

								We didn't hear any about that data.


								02:08:22.300 --> 02:08:27.300

								We didn't see how they quantified the difference between different lots.


								02:08:28.300 --> 02:08:30.300

								And how those quantifications were done.


								02:08:30.300 --> 02:08:31.300

								We didn't see that at all.


								02:08:31.300 --> 02:08:36.300

								He just mentioned that it happened that Jessica Rose did it.


								02:08:36.300 --> 02:08:44.300

								But that's a whole nother ball game quantifying the contamination across lots is very different.


								02:08:44.300 --> 02:08:51.300

								Apparently they had like 25 vials or something like that, right?


								02:08:52.300 --> 02:08:55.300

								I'm not sure they've been qualified as being of the quality of like an undergraduate project, to be honest.


								02:08:55.300 --> 02:08:58.300

								Anyway, let's now look at the preprints and what they show or what they claim to show.


								02:08:58.300 --> 02:09:05.300

								In this new preprint, again, what they're looking at are what they claim to be COVID mRNA vaccine vials, and they are testing the liquid inside of them for residual DNA contamination.


								02:09:05.300 --> 02:09:11.300

								They're doing this by using QPCR, which is the gold standard by which DNA and other nucleic acids are quantified in this context.


								02:09:11.300 --> 02:09:13.300

								But like the first preprint, there are still significant issues.


								02:09:13.300 --> 02:09:17.300

								If you haven't watched my previous video on this topic, I highly recommend you go check that out because I explain it all in much more detail.


								02:09:17.300 --> 02:09:22.300

								But in their first preprint, their QPCR reaction failed efficiency, which off the bat means it is totally invalid.


								02:09:22.300 --> 02:09:27.300

								And by the way, anybody who publishes QPCR reaction or tries to publish one, that failed efficiency is doing incredibly sloppy work.


								02:09:27.300 --> 02:09:35.300

								I can't stress that enough. It's a huge mistake that an undergraduate shouldn't make, let alone someone trying to publish a preprint that is trying to take down all of the pharmaceutical and regulatory industries.


								02:09:35.300 --> 02:09:38.300

								In any case, in this new preprint, their efficiency was much better. Very glad they learned that part.


								02:09:38.300 --> 02:09:44.300

								However, just like the first preprint, they are miscalculating the amount of DNA in their sample, and as a result, hugely overestimating how much DNA is there.


								02:09:44.300 --> 02:09:48.300

								Funnily enough, this overestimation still puts them below the FDA regulatory limit.


								02:09:48.300 --> 02:09:52.300

								Yeah, they admit and fully show that their measurements were below FDA regulatory limit.


								02:09:52.300 --> 02:09:58.300

								Anyway, the correct way to calculate how much DNA you have in your samples in this context is to use QPCR to get a copy number.


								02:09:58.300 --> 02:10:04.300

								Once you have a copy number of how many copies of DNA you have in your sample, you can then use that copy number to calculate a gram amount.


								02:10:04.300 --> 02:10:09.300

								But remember, as I explained in my previous video, any trace amounts of DNA that are going to be in the COVID mRNA vaccines are going to be in fragments.


								02:10:09.300 --> 02:10:17.300

								That's because the plasmid used for manufacturing is digested by enzymes called DNases, and then most of those fragments are removed away from the mRNA before it's made into the drug product.


								02:10:17.300 --> 02:10:18.300

								Because you have the copy number...


								02:10:18.300 --> 02:10:26.300

								How are they removed away? See, that's the argument that Buck Halter and McCurnan are making is that you can't remove them.


								02:10:26.300 --> 02:10:35.300

								They're just fragmented, and then they stay there. He's just hand-waving here, which is very interesting.


								02:10:36.300 --> 02:10:45.300

								But what I'm trying to set up for you is the idea that this is already ready to go, like within days.


								02:10:45.300 --> 02:10:52.300

								And so there is something happening here besides a sudden finding of DNA.


								02:10:52.300 --> 02:10:56.300

								It's possible that this DNA is harmless.


								02:10:56.300 --> 02:11:00.300

								It's possible that this DNA is meaningless.


								02:11:00.300 --> 02:11:12.300

								It's possible that it's just another piece of the nasty puzzle that is transfection is not a product that we can make suitable for healthy humans.


								02:11:12.300 --> 02:11:17.300

								And this is just one of the many details of that story.


								02:11:18.300 --> 02:11:32.300

								That when we emphasize it as the detail, when we emphasize it as the camels, you know, the straw that breaks the camel's back, we are actually overemphasizing its real significance, I think.


								02:11:33.300 --> 02:11:46.300

								And giving the door an opening to people like this who can kind of pounce on it and exaggerate that to the point where all of the other legitimate concerns get lost in this.


								02:11:49.300 --> 02:11:57.300

								It's 10.35. It's been two hours and ten minutes. I'm going to put this in the chat for you to watch if you want to.


								02:11:57.300 --> 02:12:02.300

								I'm not going to watch any more of this guy because I've already watched one and you get the idea of what he was doing.


								02:12:02.300 --> 02:12:07.300

								You get the idea of what he was trying to do.


								02:12:07.300 --> 02:12:15.300

								And I just want to finish up with a little summary really quick as long as my voice is still working.


								02:12:15.300 --> 02:12:20.300

								So thanks for watching that. This is a group of people that has been manipulating us.


								02:12:20.300 --> 02:12:35.300

								A couple of days ago, I watched a stream of somebody that I used to really enjoy named Huberman, who is a professor at Stanford, a neurobiologist, only to find out through my own loving wife that actually he's part of the intellectual dark web to and I was a dork for not knowing it.


								02:12:37.300 --> 02:12:46.300

								So they misled us about the potential for pandemics to be in the laboratory and that was that noise.


								02:12:47.300 --> 02:12:53.300

								That was on my microphone outside. It sounded like somebody jumped on it.


								02:12:53.300 --> 02:12:57.300

								And also the fact that we could stitch things together.


								02:12:57.300 --> 02:13:04.300

								But the illusion of consensus with regard to this, I hope you understand is very specific.


								02:13:04.300 --> 02:13:15.300

								The illusion of consensus is that the worst case scenario now or in the future is a gain of function laboratory bio weapon release leak.


								02:13:16.300 --> 02:13:17.300

								Accident.


								02:13:19.300 --> 02:13:25.300

								And so it's not only the illusion of consensus isn't that gain of function is real.


								02:13:25.300 --> 02:13:32.300

								The illusion of consensus is that gain of function is a potential source of a disaster.


								02:13:33.300 --> 02:13:41.300

								And that inside of that potential source of disaster are people who actually want to create the potential for that disaster.


								02:13:42.300 --> 02:13:45.300

								And there is a consensus across left and right.


								02:13:46.300 --> 02:13:51.300

								High in government secret meetings everywhere that this is the truth.


								02:13:52.300 --> 02:14:08.300

								And people like Kevin McCann and George Webb and Paul Cottrell were involved intimately in ceding this narrative in 2020 when it wasn't yet right to put it on television.


								02:14:08.300 --> 02:14:26.300

								When it wasn't yet right to put it on the intellectual dark web, there were people way, way out in the fringes that were already driven, promoted and encouraged to talk about the worst case scenario of 1 billion dead because of the release of a bio weapon.


								02:14:27.300 --> 02:14:39.300

								And that consensus was used as a seed to terrify people and to try and solve this mystery of where is the mystery virus.


								02:14:40.300 --> 02:14:53.300

								And the people on television and the people in social media and these people creating this illusion of consensus about the faith wants you to believe that excess death is the mystery virus.


								02:14:54.300 --> 02:15:03.300

								I mean a million 200,000 people so far have been killed in America by COVID means that all the excess deaths were due to COVID.


								02:15:05.300 --> 02:15:14.300

								And the magic trick, the enchantment that they are pulling there is that they are not doing the math correctly because if you want to know who the mystery virus killed, you've got to take the excess deaths.


								02:15:15.300 --> 02:15:21.300

								And then you've got to subtract the people that we didn't resuscitate in New York and elsewhere to prevent spread.


								02:15:22.300 --> 02:15:26.300

								You've got to subtract all the people that we ventilated to prevent spread.


								02:15:26.300 --> 02:15:32.300

								You've got to subtract all the people that we didn't give antibiotics to because antibiotics don't work on a viral pneumonia.


								02:15:33.300 --> 02:15:39.300

								You've got to subtract all the people that we didn't give steroids at the right time to because steroids are inappropriate for COVID.


								02:15:40.300 --> 02:15:45.300

								You've got to subtract all the people that got remdesivir, deteriorated and died from it.


								02:15:46.300 --> 02:15:53.300

								You've got to subtract all the opioid deaths that were extra because they were also roped in as part of the excess deaths.


								02:15:55.300 --> 02:16:01.300

								And you've got to subtract all the death certificate fraud that was driven by the PCR and driven by the financial incentives.


								02:16:02.300 --> 02:16:04.300

								And when you do that, there's nothing left.


								02:16:05.300 --> 02:16:09.300

								And that's why all the people that are preserving the faith don't do that math.


								02:16:10.300 --> 02:16:19.300

								That's why all the people who are preserving the faith don't talk about the PCR fraud, the lateral flow fraud, the variants and all the other crap about the virus because then you have to do the math.


								02:16:24.300 --> 02:16:31.300

								And if you do the math, you dispel this faith, the faith of a novel virus that millions died and were saved.


								02:16:34.300 --> 02:16:36.300

								The gain of function is real and a virus will come again.


								02:16:37.300 --> 02:16:42.300

								And that narrative is really, that's how they did it. That's what this faith is codified.


								02:16:43.300 --> 02:16:51.300

								The UN codified the faith of a novel virus in a PCR test with financial incentive in the US was ready to act on this plan.


								02:16:52.300 --> 02:16:56.300

								The only way that the molecular biology could be reels if they used an infectious clone.


								02:16:57.300 --> 02:17:05.300

								And the goal is the total surrender of individual sovereignty and enforcement of a global fundamental inversion from basic human rights to basic granted permissions.


								02:17:07.300 --> 02:17:11.300

								It's an illusion of consensus about this faith.


								02:17:13.300 --> 02:17:25.300

								An illusion of consensus that was started in 2019 with the intellectual dark web, including Brett Weinstein, Eric Weinstein, Sam Harris, Jordan Peterson, the whole nine yards.


								02:17:26.300 --> 02:17:41.300

								And then it was ceded with Rand Paul and Tony Fauci lying and fighting and that was ceded by the narratives and ceded by the proximal origin paper and the big dispute about what language they used and how dismissive they were.


								02:17:42.300 --> 02:17:49.300

								And then by the the Shenxi Lee science paper and then Omicron came out in South America and everybody thought it was a white hat and now we're here.


								02:17:50.300 --> 02:17:55.300

								And for three years, all the people that have been promoted on social media have never questioned the faith.


								02:17:56.300 --> 02:17:58.300

								Elon Musk has never questioned the faith.


								02:17:59.300 --> 02:18:05.300

								Peter Teals never questioned the faith. The Weinstein brothers have never questioned the faith. Sam Harris loves the faith.


								02:18:06.300 --> 02:18:13.300

								Tony Fauci is the priest. It's all people keeping us in this illusion of consensus of a mystery to solve.


								02:18:14.300 --> 02:18:18.300

								And by accepting the mystery and trying to solve it, you accept its premises.


								02:18:19.300 --> 02:18:27.300

								Once you've accepted its premises, then they can change your mind and give you an illusion of consensus that we don't know what's going on and then doctors behave stupid for three years.


								02:18:28.300 --> 02:18:32.300

								And now we have the excess deaths that we can invert and call a disease.


								02:18:36.300 --> 02:18:37.300

								That's what this was.


								02:18:38.300 --> 02:18:47.300

								We were solved into salt. We were fooled into solving the mystery and this mystery is really just a conflated background signal they lied.


								02:18:49.300 --> 02:19:00.300

								The faith is a lie. The diagnostics are lies. Their fidelity is a lie because it was an endemic background and it doesn't really matter what it was.


								02:19:01.300 --> 02:19:07.300

								But I think the best explanation is probably an infectious clone because the protocols were murder and transfection is not medicine.


								02:19:08.300 --> 02:19:16.300

								They might have transfected some people with something that wasn't an infectious clone, maybe just a spike protein or, you know, I don't know, anthrax or something like whatever you want to make up.


								02:19:17.300 --> 02:19:23.300

								But there are definitely, this is not the solution. It was a conflated background signal because the faith is a lie.


								02:19:24.300 --> 02:19:29.300

								That's kind of, that's kind of where I'm at. It's kind of how I feel.


								02:19:30.300 --> 02:19:44.300

								And I think that the players don't address the PCR fraud and all of the fraud about the virus and about replication competence and about transfection in general as we talk today specifically, and they never talk about natural immunity.


								02:19:45.300 --> 02:19:53.300

								I'm the only person, I don't want to toot my own horn, but I'm the only person who spent hours and hours talking about immunology.


								02:19:54.300 --> 02:20:12.300

								I'm the only person who has at least three five hour immunology streams under his belt in the last three years. Nobody else. Nobody else. Nobody else. Not one of these people. None of them.


								02:20:15.300 --> 02:20:24.300

								And that's because we are at a time point where they want your data. So they don't, there's no incentive to teach you this biology so that you understand its sacredness.


								02:20:24.300 --> 02:20:34.300

								The incentive is for you to think that it's just not even worth protecting or not even worth respecting. We're on the verge of cracking it.


								02:20:35.300 --> 02:20:45.300

								Ladies and gentlemen, intramuscular injection of any combination of substances with the intent of augmenting the immune system is dumb, transfection is not immunization.


								02:20:45.300 --> 02:21:06.300

								Thank you guys for joining me.


								02:21:07.300 --> 02:21:16.300

								It has been a pleasure to be here tonight. My voice held out pretty well. It feels pretty good. I guess I'm going to get a good night's sleep tonight.


								02:21:16.300 --> 02:21:28.300

								I don't know. It's been 50 in a row. If I make it to the doctor and the doctor says I can't talk for a while, then it's just going to stop.


								02:21:28.300 --> 02:21:38.300

								But the worst case scenario starting on November 2nd through November 5th, I will be off and back on November 6th.


								02:21:38.300 --> 02:21:48.300

								Just so you know, there is going to be a break to this 50. We're not going to get to 400 just yet, but the streak is alive and I will see you tomorrow. Thanks guys.


								02:21:58.300 --> 02:22:27.300

								Thank you so much for joining me.


								02:22:27.300 --> 02:22:45.300

								I'm going to have you on soon, Albert. I promise I'm going to have you on soon. Things are really busy behind the scenes, so I'm having no guests right now. It's nothing to do with you. I just need to clear my schedule.