You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

1422 lines
67 KiB

WEBVTT
01:12.000 --> 01:23.000
Janet, how are ya? Pamela, good to see you. Lots of the same humans here, good to see you team human.
01:23.000 --> 01:29.000
Just another meeting of the control group.
02:42.000 --> 02:55.000
Please don't forget to check out Mark's work. There's a lot of serendipitous synergy happening here. Please check Mark's work.
02:55.000 --> 03:13.000
He's scheduled for 60 minutes next. He's going on French, British, Italian, Japanese television. People everywhere are starting to listen to him. It's embarrassing.
03:13.000 --> 03:18.000
The kids deserve a lot of credit. This town's been flooded with phony 20s for weeks.
03:18.000 --> 03:26.000
Oh, it was nothing, really. But old Mr. Pietro posing as a doorman sure had us fooled for a while.
03:26.000 --> 03:30.000
He really gave himself away when he put on his little puppet show for us.
03:30.000 --> 03:38.000
The real hero of Scooby-Doo. And by the way, where is he? Oh no, look at him.
03:38.000 --> 03:42.000
Like I said before, what a ham.
03:42.000 --> 03:46.000
Whoa, whoa, whoa, whoa, whoa.
03:46.000 --> 04:11.000
Not a super long show for you today, ladies and gentlemen. I hope I can keep it under an hour.
04:11.000 --> 04:15.000
Why would you understand that you're in the city of the AIDS?
04:15.000 --> 04:21.000
Yes, yes, two days ago. Why would you understand that you're in the city of the AIDS?
04:21.000 --> 04:27.000
Yes, yes, two days ago. Why would you understand that you're in the city of the AIDS?
04:27.000 --> 04:31.000
Yes, yes, two days ago. Why would you understand that you're in the city of the AIDS?
04:31.000 --> 04:39.000
Yes, yes, two days ago. Good evening, ladies and gentlemen. This is Gigo on Biological Eye Resistance Low Noise Information Brief brought to you by a biologist.
04:39.000 --> 04:43.000
It's the 18th of October, 2023.
04:56.000 --> 05:07.000
We are trying to stop these people from misleading the young any further by spreading the truth of the biology that was concealed for the last three years and longer.
05:10.000 --> 05:17.000
Because if we don't struggle hard enough to get the power back from these charlatans now, our children will never get it back.
05:21.000 --> 05:23.000
We need to call attention.
05:29.000 --> 05:33.000
We need to call attention to the bricks at the back of the theater.
05:33.000 --> 05:37.000
While our kids still have a chance to see them.
05:43.000 --> 05:45.000
Sorry about that.
06:03.000 --> 06:05.000
Thank you.
06:34.000 --> 06:41.000
My name is Jonathan Cooley and I'm coming to you live from Pittsburgh, Pennsylvania in the United States of America.
06:42.000 --> 06:50.000
We have been trying to fight against an ongoing narrative in the United States and around the world.
06:50.000 --> 07:02.000
It seems to have fooled all of us with a TV or a cell phone into believing that there was a lab leak of a gain of function virus in Wuhan that led to all of Western society having to shut down.
07:03.000 --> 07:07.000
And the absolute calamity that was the last three years.
07:07.000 --> 07:17.000
And we are trying to stop taking the bait on TV and social media to avoid continually perpetuating this mythology.
07:17.000 --> 07:22.000
We're essentially trying to stop talking about it so that our kids stop believing in it.
07:22.000 --> 07:26.000
But we also need to actually actively dispel it now.
07:27.000 --> 07:32.000
So we need to work against that was supposed to fly in a little better than that.
07:32.000 --> 07:34.000
That's annoying.
07:34.000 --> 07:38.000
So I'm just going to get out of here for a second. That's annoying.
07:38.000 --> 07:45.000
That's what we want to actually like that.
07:45.000 --> 07:46.000
Exactly.
07:49.000 --> 07:56.000
So I've told you already before that this Scooby-Doo mystery that we've been led to solve is ongoing.
07:56.000 --> 07:59.000
And I've shown you how it's ongoing.
07:59.000 --> 08:07.000
There is a book coming out by Rand Paul that's called The Great Cover Up With a Man on the cover with a mask that needs to be taken off to reveal his identity.
08:08.000 --> 08:11.000
Exactly what a Scooby-Doo mystery is.
08:11.000 --> 08:23.000
It's kind of hilarious actually how on the head this is really from the perspective of my recent sort of narrative attempt at explaining to people what has happened.
08:23.000 --> 08:32.000
But it shouldn't surprise you that Robert Malone is retweeting something by Ford Fisher of a video of somebody being arrested in the Capitol.
08:33.000 --> 08:47.000
It shouldn't surprise you that some of the people on this little diagram that I've been using for a long time now to remind you that the intellectual dark web was a social media construct that was created in around 2018.
08:48.000 --> 08:56.000
By a guy who was then becoming quite rich under the under the direction of and helping another person by the name of Peter Teal become rich.
08:56.000 --> 09:08.000
Eric Weinstein who is from the weird symbology perspective oddly just portrayed as the guy here if you can see my arrow.
09:09.000 --> 09:18.000
Under the black umbrella of all of the guys and gals in this picture up here at the top.
09:18.000 --> 09:31.000
Man I didn't do that again I keep forgetting to set up my secondary camera because I'm always being such a dork here.
09:31.000 --> 09:37.000
Sorry about that.
09:37.000 --> 09:40.000
And I should have cut already.
09:40.000 --> 09:56.000
So this picture that I'm talking about up here here's Eric Weinstein he's at the top underneath the black umbrella if you know any of the kind of you know spooky symbology that goes along with the conspiracy theories of modern Western society you know that being under a black
09:57.000 --> 10:02.000
umbrella is a symbol and he's the only one there under a black umbrella.
10:02.000 --> 10:15.000
I would suggest to you that that means he's more or less the guy who organized this and I can give you a number of wonderful examples in the coming weeks of why that's likely true and what the real plan was.
10:15.000 --> 10:27.000
It's probably likely that Eric Weinstein was encouraged to organize the intellectual dark web by Peter Teal or some you know permutation of that.
10:27.000 --> 10:38.000
So it shouldn't surprise you that like Robert Malone retweeting a Palestinian demonstration and in the capital.
10:38.000 --> 10:45.000
He also have Brett Weinstein retweeting and and talking about Majeed.
10:45.000 --> 10:48.000
He's on this picture back here as well.
10:48.000 --> 10:50.000
Where is he.
10:50.000 --> 10:53.000
Maybe he's behind my head here.
10:53.000 --> 10:56.000
He's one of these guys.
10:56.000 --> 11:03.000
Or maybe he didn't make it into this picture he made it into a different no there he is right there that's that's the picture he's in.
11:04.000 --> 11:09.000
Here's Brett Weinstein talking about Majeed I think his name is for sure.
11:09.000 --> 11:22.000
But he's he had tweeted that that they put a black flag over some mosque and wherever and so that means that it's time for World War or some nonsense like that I don't know what it is.
11:22.000 --> 11:32.000
But of course he's got that wrong and even Wikipedia and the and the things under here get it right I mean all you have to do is click on that and realize that this isn't the flag he's talking about at least according to Wikipedia.
11:33.000 --> 11:39.000
Which tends to be correct it just tends to omit things usually the things on Wikipedia check out.
11:39.000 --> 11:52.000
And it certainly seemed like in this case it does but that didn't seem to stop Brett Weinstein from feeling it was okay to you know tweet stuff about Jews and Muslims and stuff.
11:52.000 --> 11:57.000
So they're all playing the same game they're all playing the same misdirection game.
11:58.000 --> 12:06.000
They're all playing this governance game of governance by mythology and it's not just mythology about immunology of course.
12:06.000 --> 12:18.000
But the mythology about biology is the stuff that's easiest to see through because it doesn't involve so much personal opinion and who said what.
12:18.000 --> 12:25.000
And that's what makes politics a real politics so complicated.
12:25.000 --> 12:34.000
Because biology is just straightforward and when you find out that they're lying they're just playing lion.
12:34.000 --> 12:47.000
And so this illusion of consensus is what we're trying to break and it's an illusion of consensus about a novel virus for which we were all vulnerable that we all had to do something that the RNA saved people from but could have been better.
12:48.000 --> 12:54.000
And even if it wasn't the next one could be.
12:54.000 --> 12:58.000
That's about the best that I can summarize the consensus of all these people.
12:58.000 --> 13:02.000
They all think the same thing.
13:02.000 --> 13:12.000
And crazy enough the people that watch the view and the people that watch CNN and the people that watch Saturday Night Live also think basically the same thing.
13:12.000 --> 13:31.000
It's all a question of how dark they want to imagine their reality but they realize that it's all possible or they think they've realized that it's all possible because by assuming the challenge of the Scooby-Doo mystery you assume or you rather take on its presuppositions.
13:32.000 --> 13:53.000
The Scooby-Doo mystery relies on the idea that the McGuffin of a dangerous novel virus circulating the planet a dangerous RNA sequence that McGuffin has to be real otherwise the whole thing falls apart.
13:53.000 --> 14:11.000
And so these pieces have been moving around Peter McCullough has been really doing a lot of good in my mind recently by coming out against the vaccine but I have collected some videos in the last 25 minutes that have just made me want to bang my head on a wall.
14:11.000 --> 14:29.000
He was on Dr. Drew with Kelly Victory again and I didn't have time to put him into this thing I'm going to use them tomorrow but they're just suffice it to say that I'm not happy because we are again talking about variants and about how variants are being pushed around by the vaccines or
14:29.000 --> 14:47.000
by Pax Lovid or Mopovineer and I'm just not going to have this anymore these people don't have any evidence for this they don't have any evidence for it other than the cartoonish data dumps by the CDC themselves
14:47.000 --> 15:05.000
and so like it or not Kelly Victory is going along with the CDC story and perpetuating this faith 100% the faith and unless we correct Dr. Peter McCullough then he's going to be perpetuating the faith as well
15:05.000 --> 15:14.000
that there is a novel virus out there in circulation that they can track with a PCR test
15:14.000 --> 15:33.000
and that people are getting sick from it and it's different than the flu and it came from a lab and it's all one story and this can't be possible
15:33.000 --> 15:47.000
it's we're in big trouble because we're not winning it feels like we're winning but we're not winning we're going to talk a lot about it with Jolie tomorrow it's at five o'clock Eastern
15:47.000 --> 15:55.000
it's just crazy to me how every time I get excited we take three steps backwards
15:55.000 --> 16:11.000
so we've got to keep working and just keep reminding yourselves of the truth and make sure that you understand it well enough to share with your family and friends but the show is definitely going to go on yesterday we had a really good broadcast
16:11.000 --> 16:30.000
I was really strong I hit a couple real high notes in there with regard to what the modern biologists the modern molecular biologists really understands about what they do at the bench and therefore what a virologist really understands what he or he or she does at the bench
16:31.000 --> 16:47.000
the sheer lack of awe and reverence for the sacred of biology that's evident in all of these people just making products
16:47.000 --> 17:03.000
and so as we go through this thing once again of course we had to have Kevin McCurnan come back up I don't want to ignore him because I do believe that they have to use the truth in order to make the narrative work
17:03.000 --> 17:19.000
and so we have to make sure that we don't not use the truths that we are given in order to make the narrative crumble and so I believe that Kevin McCurnan has many many times been present
17:19.000 --> 17:38.000
at key moments during the pandemic to be present to health control monitor or even influence groups of people that were on the verge of making too much known
17:38.000 --> 18:04.000
and so tonight I want to watch his presentation to the world council for health is only a 12 minute presentation and then I just want to talk a little bit with some notes about what I see as being some of the oddities with regard to this guy's sort of presence in the in the COVID dissident movement from really the very beginning
18:04.000 --> 18:18.000
but not quite as early as I thought oh yeah so we don't need to go there yet so first of all just remind you
18:19.000 --> 18:46.000
in late 2020 I'm not sure what month this group of authors published a a critique of the who and its published PCR protocol and of the people that are on this paper I think you'll find a number of extremely interesting names
18:46.000 --> 19:02.000
Peter Borger is somebody you might know from Twitter Rajish Kumar Mahaltra is a guy who talks all the time about glowing mice and for a while he was my friend and then he blocked me
19:02.000 --> 19:17.000
Michael Eden you know Claire Elizabeth honor Craig is one of the founders of the heart foundation H A R T a UK group Kevin McCurnan is the hero of the day
19:17.000 --> 19:34.000
Thomas Binder is of course somebody I've shared with you a few times he's a doctor from Switzerland one of the most steadfast outspoken heroes of the pandemic
19:34.000 --> 19:54.000
and I'm not I think I know all more commerce also but they those are the names that really come to mind and I think that you should probably know of and then they made this a denim to it so I'll give you this these links just so you can maybe follow up on your own I love Thomas Binder too I think he's fantastic
19:55.000 --> 20:05.000
he's really a no holds barred what is this why is that could we all because I opened it of course okay so we'll do this
20:11.000 --> 20:23.000
and then there's this one I think there's one here but that's also on my download so I gotta get those back so anyway that's what we're doing we're gonna watch this video and then we can talk a little bit about what
20:24.000 --> 20:46.000
in total what we got because he was on my stream twice plus I've done a couple live streams with him on other streams I think once with Matthew I think we did this five person stream that's on rumble that John Bodwin hosted
20:47.000 --> 20:53.000
so yeah there we've had a lot of interaction during the course of the three years before he blocked me
20:54.000 --> 21:04.000
and to be quite frank the reason why he blocked me is because he doesn't like the clone discussion and doesn't like RNA clones as being important
21:05.000 --> 21:13.000
and it is really the thing he decided to blow me off about which is really weird because that's definitely a home run like
21:14.000 --> 21:37.000
there's no denying that that basically is RNA virology it's infectious clones where you basically have almost nothing and the idea that they want to cover that up is just the biggest red flag of them all it's like a denny size red flag flapping in the wind off the interstate here we go
21:38.000 --> 21:56.000
so with no further ado on that intro to get this where we are in history at this epic time and very grateful for expert panel we'd like to start with Kevin McCurnan Kevin was a team leader of R&D for the Human Genome Project he co founded
21:56.000 --> 22:08.000
Agincourt Biosciences Corporation and acted as the CSO until its sole Kevin was the president and chief officer of Agincourt Personal Genomics a startup company he co founded in 2005 to
22:08.000 --> 22:28.000
in revolutionary sequencing technologies. In 2023 Kevin used Nuschiger RNA vaccines as positive controls in an RNA sequence experiment aiming to understand the pathogenicity of hop late and bureau infections in cannabis and this sequencing revealed the double stranded DNA contamination in the widely
22:29.000 --> 22:45.000
demonstrated messenger RNA vaccines so Kevin's really been at the front of this discovery he has facilitated labs around the world including David Spellich here in Canada who just published in great work and confirming his work so with no further
22:45.000 --> 22:58.000
you Kevin if you please come forward and enlighten the audience I know this could be a this could be a two day in very interesting lecture but in brief if you could help bring people up to speed what you found and where we're at
22:58.000 --> 23:05.000
absolutely thank you for having me I'm just going to move this over to present hopefully this behaves
23:05.000 --> 23:18.000
all right there we are so I'm going to touch on some of the technical details on what we're measuring here and how we ran into them so this is discussion about the quantity of plasmids that we can find inside of these messenger RNA vaccines
23:18.000 --> 23:22.000
and I don't have any conflicts to declare I don't work in the scene I
23:22.000 --> 23:36.000
so you know the funny thing is I was going to make a joke but I thought my space bar would pause it I would speed it up but I don't think we need to speed it up with Kevin he is about the fastest rapid fire talker that we've come across during the pandemic
23:36.000 --> 23:51.000
and he's going to throw so much information at the next 14 minutes it's pretty impressive team space this all started back in April with this preprint where we did this RNA sequencing that Mark was just mentioning this can give you more of the details that we're going to go into here very briefly
23:51.000 --> 24:05.000
this will remind you which not in that what is not in that preprint is something that retziflevi and Josh Goodscow presented in the BMJ which is that the the vials that were in fact approved are not the vials that were given to the public
24:05.000 --> 24:14.000
the clinical trial was run on something known as process one that used PCR to make the DNA that was going to then turn into the RNA to make the spike protein
24:14.000 --> 24:32.000
once the trial was complete they switched this is a big bait and switch they moved to a production process that manufactured this DNA in a coli and with that comes a different risk there's clean DNA on the left which is process one there's no background a coli there's no endotoxin present in this in this process
24:32.000 --> 24:44.000
when they switch to scale this up they put this plasmid into a coli to grow it and replicate it and now you have to get the DNA out of a coli and not have any of the parts of a coli come with it and unfortunately there are parts of a coli that can create
24:44.000 --> 25:00.000
anaphylaxis something known as endotoxin and there are these plasmids that have additional DNA that were not present in the actual clinical trial so we started sequencing lots that were a mixture some that were in fact not expired but had been tapped into by clinicians and other ones that were
25:00.000 --> 25:08.000
unopened but were expired these are the monovalent vaccines for Pfizer the prior ones were the bivalent vaccines for Moderna and Pfizer
25:08.000 --> 25:25.000
upon sequencing these I think the most striking revelation was that the Pfizer vaccines actually had a component that was not disclosed the regulators this this plasmid map on the right is what was disclosed the EMA and there's no mention of the SV40 components that are in that are now known to be inside this DNA sequence
25:25.000 --> 25:34.000
and the plasma on the left is what we actually found very similar in length but has all these other components in it that are not disclosed the regulators nor to the patients taking these
25:34.000 --> 25:50.000
why do we care about SV40 well SV40 is a known tool this particular enhancer the 72 base part enhancer that David Dean's lab has studied so well it binds transcription factors that drags any DNA attached to it into the nucleus so it's actually a well published tool for gene therapy
25:50.000 --> 26:01.000
if you want to get DNA into the nucleus this is the this is the shuttle that you use to get it done if you have lipid nanoparticles that are encapsulating this material you now have a Trojan horse to get into the cells as well
26:01.000 --> 26:18.000
so what did we do once we found the sequencing we knew peer review was going to be quite challenging and it would take a long time so the best thing you can do in those circumstances are publish methods that allow other people to reproduce the work faster than peer review can occur and I think you'll see that's exactly what's happened so we designed three different assays
26:18.000 --> 26:33.000
one that targets the vector this this bacterial origin of replication inside of the plasmid and the other one that targets this spike protein we have a third assay now that we're working on as well to track the presence of this SV40 promoter in particular biopsies of interest
26:33.000 --> 26:44.000
the sequencing I'm sorry that the quantitative PCR of this will give you numbers that don't add up to 35% it's much lower than that with PCR and I'm going to explain why PCR does not capture every piece of DNA that's in the files
26:44.000 --> 26:53.000
but if you take a one to a hundred dilution of these things you'll get CTs in the 22 range that puts them in there on the 17 range if you don't if you shoot them straight in
26:54.000 --> 27:07.000
for context when you're getting a COVID test you you could be called positive in a CT of 35 this is a log to scale that's about a million times less material than what we're injecting into people with the actual vaccine
27:07.000 --> 27:20.000
so COVID might call you positive and COVID test might call you positive at 35 we're injecting stuff that's closer to 17 a million times more concentrated than what you'll see that you can be called positive from the actual nasal test so there's a lot in there
27:20.000 --> 27:32.000
some critiques of the work have centered around that these vaccines are expired well they've injected expired vaccines into people that's not a very good argument but you can also measure how degraded these things are by running these RNA integrity
27:32.000 --> 27:46.000
assays that Pfizer uses we've done that we don't see excessive degradation of the violence of the sequence to date and you're going to see other people who have who have touched on these vaccines and sequenced them that are not expired and have better chain of custody than we had received
27:47.000 --> 28:01.000
now several other people have replicated this it started with a group in Japan who took our sequence data and reassembled it and actually found the same vector that we found some other folks were playing around with PCR finding low levels of DNA but they found DNA indeed in Japan
28:02.000 --> 28:09.000
through Twitter that some folks in France and D.D. a Realtz Lab found DNA as well I've not seen the methods yet but we're open to further discussion on that
28:09.000 --> 28:16.000
William Engel has also sequenced his own vials in Europe and found the Pfizer sequence as well
28:16.000 --> 28:24.000
but this shouldn't surprise anybody because the EMA made note of the high variance of DNA contamination in the Pfizer vials that were presented to them
28:24.000 --> 28:29.000
I've got to go back a little bit because I'm taking too many notes here and I'm missing things
28:29.000 --> 28:37.000
I'm going to go back just a little bit I'm very sorry but I don't want to miss stuff
28:37.000 --> 28:44.000
up to 35% it's much lower than that with PCR and I'm going to explain why PCR does not capture every piece of DNA that's in the vials
28:44.000 --> 28:53.000
but if you take a one to a hundred dilution of these things you'll get CT's in the 22 range that puts them in there on the 17 range if you don't if you shoot them straight in
28:53.000 --> 29:06.000
for context when you're getting a COVID test you you could be called positive at a CT of 35 this is a log to scale that's about a million times less material than what we're injecting into people with the actual vaccine
29:06.000 --> 29:19.000
so COVID might call you positive and COVID test might call you positive at 35 we're injecting stuff that's closer to 17 a million times more concentrated than what you'll see that you can be called positive from the actual nasal test so there's a lot in there
29:19.000 --> 29:32.000
some critiques of the work have centered around that these vaccines are expired well they've injected expired vaccines into people that's not a very good argument but you can also measure how how degraded these things are by running these RNA integrity
29:32.000 --> 29:44.000
assays that Pfizer uses we've done that we don't see excessive degradation of the vials of the sequence to date and you're going to see other people who have who have touched on these vaccines and sequence them that are not expired and have better chain of custody
29:44.000 --> 29:56.000
than what we had received now several other people have replicated this it started with a group in Japan who took our sequence data and reassembled it and actually found the same vector that we found some other folks were playing around with PCR
29:56.000 --> 30:08.000
that we got to stop right there
30:08.000 --> 30:19.000
so first of all I apologize because I really lose my breath very easy now and I need to kind of rest for a minute before I start talking again
30:19.000 --> 30:33.000
I'm not sure why he's explaining that they have to do a 1 to 100 dilution here it might just be to make it more available for the PCR reaction to start
30:33.000 --> 30:44.000
then goes on to say though that one of the limitations was that the lots are expired and so people are saying it's not fair to evaluate those
30:44.000 --> 30:55.000
but he says that they've done RNA integrity confirmations and seen that that's indeed the case that their RNA is intact
30:55.000 --> 31:08.000
shoulders here right of unknown RNA fragments and those are very dangerous for small interfering RNAs if I understand my biology correctly
31:08.000 --> 31:14.000
but he seems to indicate that those are pretty okay but he's got question marks there that he doesn't mention now
31:14.000 --> 31:27.000
but he says that the RNA integrity is confirmed on arrival and then when he says that other people have started to replicate his work
31:27.000 --> 31:47.000
if you listen carefully the first people to replicate his work are people that are in Japan and all they do is take his sequencing data and reassemble it and find a similar or the same plasmid
31:47.000 --> 32:04.000
so that's not really the same thing as replicating your work it's like if you I don't know this word scramble comes out the same way when you do it and I do it is not exactly replicating the work at least not in the same way
32:04.000 --> 32:16.000
but then he goes on to say that other people are doing similar reactions but it's just key to see that that I don't think that's super surprising maybe I'm a little naive but
32:16.000 --> 32:25.000
if what he said he found is in there and that's what's really in there then what else are they gonna find
32:25.000 --> 32:35.000
and then they didn't try to find it again they just took his sequencing data and found it well done it's a bit like oh here's a COVID variant that's all scrambled here
32:35.000 --> 32:43.000
why don't you see what you find when you put it together oh look I found SARS-CoV-2 wow must be a pandemic then
32:44.000 --> 33:03.000
I mean it's not convincing to me but anyway that's what he's listing here I'm putting way too much weight on that though the more important thing or interesting thing is DDA rolled in France also replicating his data
33:03.000 --> 33:19.000
of course DDA was also the guy who had the first paper about hydroxychloroquine working with the first people that were infected in France so in a lot of respects DDA is responsible for
33:19.000 --> 33:33.000
seeding a narrative of a novel virus spreading around the earth and we've talked about that before so it's interesting that again he comes up here as part of the narrative oh yeah there's definitely DDA big time bad news
33:33.000 --> 33:48.000
which I agree with it is big time bad news but I hope you can see that five years ago they could have had this on the planning table and then how are we gonna do it yeah well we're gonna delay everybody for a year or so
33:48.000 --> 34:10.000
maybe even two years with all kinds of nonsense about I don't know how about nanoparticles and graphene and hydras and magnetism and we'll talk about RNA codon optimization and pseudo uridine and the RNA not being pure
34:11.000 --> 34:23.000
but we'll never let any of those stories none of those will get traction it'll just keep everybody spinning their wheels in the background everybody'll ignore it and then when it's time to blow up the whole thing
34:23.000 --> 34:38.000
we'll send Kevin out there with the with the wonderful evidence that it's contaminated and then he can give primers to everybody and everybody can confirm that all the lots were contaminated
34:38.000 --> 34:50.000
and so without a doubt in this very talk you're gonna hear at some point him saying how this therapeutic can be better better brought out in the future
34:50.000 --> 35:03.000
or maybe he'll even use the words regulated in the future to prevent this kind of thing and then you'll know then you'll know that Jay was a hundred percent right like a hundred percent right
35:03.000 --> 35:14.000
just keep listening through Twitter that some folks in France and D.D. A. Realt's lab found DNA as well I've not seen the methods yet but we're open to further discussion on that
35:14.000 --> 35:28.000
William Engel has also sequenced his own vials in Europe and found the Pfizer sequence as well but this shouldn't surprise anybody because the EMA made note of the high variance of DNA contamination in the Pfizer vials that were presented to them
35:28.000 --> 35:37.000
and 815 fold variance in just the 10 vials that they were given. The EMA didn't measure this as his data that Pfizer gave to the EMA.
35:37.000 --> 35:49.000
Since then more quantitative reproduction has been done with Phillip Buckholt's work he has actually replicated this with RQPCR assays. He's also sequenced this with Oxford Nanopore and has found the fragment size distribution.
35:49.000 --> 36:00.000
Dr. Sin Lee has done replication of this on Sanger sequencing. Now this was not quantitative replication but it did give us nice Sanger gold standard confirmation that the primers were using in fact target this vector.
36:00.000 --> 36:13.000
And I think you're going to hear later today Brigitte Conning has also replicated this in Germany. The reason I emphasize this is that half of the papers that come through peer review can't be reproduced so the attention should be on reproduction not on peer review.
36:13.000 --> 36:21.000
And I want to touch on today that some new data that just came from David Speacher's lab. He studied 24 vials. This is the largest study done to date.
36:21.000 --> 36:34.000
You can contact him at these contacts I have down here on the left. He has a sub stack and a Twitter handle. He went through 24 different vials, 8 from Pfizer, 12 from Dernan.
36:34.000 --> 36:39.000
And he's also finding DNA contamination in every one of these vials.
36:40.000 --> 36:43.000
I wonder what Jessica Rose is doing for that.
36:43.000 --> 36:52.000
And why is Jessica Rose doing anything? She's an independent researcher in Canada. Has she ever had independent with an A?
36:52.000 --> 37:06.000
Has she ever had a faculty position anywhere? Not that a faculty position matters but generally speaking before the pandemic if you were going to be a scientist you either worked for a company or you worked for a university.
37:07.000 --> 37:17.000
Or you couldn't really call yourself an independent researcher. That's a bit like barista then. I don't know I find it a bit odd.
37:17.000 --> 37:27.000
I don't know what she's doing for them in this in this case. It'd be interesting to know what exactly she's doing for them.
37:27.000 --> 37:33.000
And I wanted the barrel to watch with her because she's been on Malik.
37:33.000 --> 37:41.000
I'm in Malik's podcast and it's a really insightful interview.
37:41.000 --> 37:46.000
24 different vials, 8 from Pfizer, 12 from Dernan.
37:46.000 --> 37:50.000
And he's also finding DNA contamination in every one of these vials.
37:50.000 --> 37:57.000
The majority of vials are below the 10 nanogram FDA limit which we're going to touch on why that number is a bit arbitrary based on how you measure it.
37:57.000 --> 38:05.000
But the Pfizer vials, three of them were all over the limit. And if you chart these with the adverse events Jessica Rose will be touching on this perhaps bit later.
38:05.000 --> 38:11.000
The adverse events seem to stack with the vials that have higher DNA concentrations.
38:11.000 --> 38:15.000
If you put this through a dose response curve David Wiseman put this together.
38:15.000 --> 38:21.000
You can see that there does seem to be a response with the small number of samples that we have based on dose.
38:21.000 --> 38:23.000
Now there can be other confounders in this data.
38:23.000 --> 38:31.000
What we cannot control for is what we would call process three. There is another change in the manufacturing process where they change TRIS and PBS.
38:31.000 --> 38:36.000
So initially initial lots were in PBS. They moved them over to TRIS for Pfizer Moderna was always in TRIS.
38:36.000 --> 38:40.000
And this may have its own impact that we have not yet considered in this.
38:40.000 --> 38:44.000
And I could be confounding some of the signals that we're seeing on this dose response curve.
38:44.000 --> 38:50.000
Okay, I want to touch on the variance you're going to see measuring this is very dependent on what technology you use.
38:50.000 --> 38:53.000
You'll see some large numbers that vary out there in the news.
38:53.000 --> 38:56.000
And that's because if you use different tools you'll get different numbers.
38:56.000 --> 39:03.000
And this is a vulnerability in the regulations right now because you can cherry pick different tools to give the regulators whatever you want.
39:03.000 --> 39:11.000
All right, so if you put this tool through Oxford Nanopore, which sequences all of the molecules as single molecules does a great job finding a large fragments.
39:11.000 --> 39:14.000
In fact, we found a fragment in just a short 800.
39:14.000 --> 39:32.000
I find it a little odd that he says that does a great job of finding the large fragments because when I was talking about the infectious cycle and about how they used Oxford Nanopore to look at viral replication of an infectious clone and culture.
39:32.000 --> 39:45.000
And they could only find 11 full genomes of the virus or even let's say 11 transcripts that represented anything close to a full genome.
39:45.000 --> 39:56.000
His argument was is that you got to know the limitations of the methodology or using an Oxford Nanopore doesn't work very well for long sequences.
39:57.000 --> 40:04.000
Did you hear what I said?
40:04.000 --> 40:06.000
It doesn't work for long sequences.
40:06.000 --> 40:07.000
Now that may be true.
40:07.000 --> 40:18.000
Maybe it doesn't work for a long sequence like 30,000 bases, which is what the full genome of a virus would be in according to the cartoon.
40:18.000 --> 40:20.000
But I know that I heard him say it.
40:20.000 --> 40:27.000
And the capabilities of Oxford Nanopore sequencing are beyond 2 million contiguous bases.
40:27.000 --> 40:35.000
So 30,000 is by no means outside of the ballpark range of possibility.
40:35.000 --> 40:47.000
And yet one of the arguments that he made on Twitter as dunking on me before he blocked me was that one of the limitations of Oxford Nanopore was it wasn't very good with long sequences.
40:47.000 --> 40:52.000
Here he is telling the world that it's great at finding long sequences. It doesn't like little ones.
40:52.000 --> 40:59.000
66 read a small sequencing run that was 3.5 KB long and encompassed the entire backbone of the plasmid.
40:59.000 --> 41:02.000
We found another one that was 2.5 KB.
41:02.000 --> 41:07.000
But the important thing to know about this is that it doesn't do a very good job capturing the very small molecules.
41:07.000 --> 41:11.000
And you can see from this molecule distribution map here, a lot of the mass is actually small.
41:11.000 --> 41:17.000
They are trying to get rid of this, but the process of getting rid of this is creating something that's a little bit more dangerous for DNA integration.
41:17.000 --> 41:23.000
This is the process that they use to get to purify the DNA before it goes on to Oxford Nanopore.
41:23.000 --> 41:27.000
It's called ampere. I'm familiar with this. I spent a lot of time commercializing this tool.
41:27.000 --> 41:30.000
It doesn't do a good job capturing the small molecules.
41:30.000 --> 41:35.000
They're using this area in red to purify the DNA before it goes on to the Oxford Nanopore system.
41:35.000 --> 41:37.000
So it removes the really small material.
41:37.000 --> 41:41.000
So we're undercounting the small material when we use Oxford Nanopore.
41:41.000 --> 41:43.000
We're also undercounting it with QPCR.
41:43.000 --> 41:47.000
Anything that's smaller than 100 bases will not amplify with QPCR will miss it.
41:47.000 --> 41:53.000
But if you put this DNA in a florometer that stains any length DNA, you get numbers that are 10 to 100 fold higher.
41:53.000 --> 41:56.000
You'd be speckled to the same thing.
41:56.000 --> 42:05.000
So this is important because the regulators were given florometry data for the RNA and QPCR data for the DNA in order to cook the books to fit the regs.
42:05.000 --> 42:09.000
But this can be something that we all need to be attentive to making regulations going forward.
42:09.000 --> 42:11.000
What are the risks of DNA?
42:11.000 --> 42:13.000
Well, there's some papers out there suggesting it's prothrombotic.
42:13.000 --> 42:15.000
If you create a...
42:15.000 --> 42:17.000
Did you hear it? Did you hear it? You probably missed it.
42:17.000 --> 42:19.000
You had it as higher.
42:19.000 --> 42:21.000
Did you hear it? You speckled to the same thing.
42:21.000 --> 42:30.000
So this is important because the regulators were given florometry data for the RNA and QPCR data for the DNA in order to cook the books to fit the regs.
42:30.000 --> 42:34.000
But this can be something that we all need to be attentive to making regulations going forward.
42:34.000 --> 42:37.000
What are the risks of DNA? Well, there's some papers out there suggesting it.
42:37.000 --> 42:42.000
Making regulations going forward. Did you hear it?
42:42.000 --> 42:44.000
Boy, I hope you heard it.
42:44.000 --> 42:47.000
So this is some technology that he wants to get rid of.
42:47.000 --> 42:52.000
He doesn't want to stop all RNA transfection like a lot of doctors do.
42:52.000 --> 42:55.000
Like a lot of biologists do.
42:55.000 --> 42:58.000
Like I wanted to do from the very beginning.
42:58.000 --> 43:03.000
Like Mike Eden and Sukhir Bhakti wanted to do, I think.
43:03.000 --> 43:08.000
No. He wants better regulations to avoid these problems.
43:13.000 --> 43:18.000
I think it's pro thrombotic. It can create an interferon risk using oxygen in a pool.
43:18.000 --> 43:20.000
We're also undercounting it with QPCR.
43:20.000 --> 43:24.000
Anything that's smaller than 100 bases will not amplify with QPCR will miss it.
43:24.000 --> 43:30.000
But if you put this DNA in a florometer that stains any length DNA, you get numbers that are 10 to 100 fold higher.
43:30.000 --> 43:33.000
You'd be speckled with the same thing.
43:33.000 --> 43:39.000
So this is important because the regulators were given florometry data for the RNA and QPCR data for the DNA
43:39.000 --> 43:42.000
in order to cook the books to fit the regs.
43:42.000 --> 43:46.000
But this can be something that we all need to be attentive to making regulations going forward.
43:46.000 --> 43:50.000
What are the risks of DNA? Well, there's some papers out there suggesting it's pro thrombotic.
43:50.000 --> 43:53.000
It can create an interferon response.
43:53.000 --> 43:57.000
Keep Pettit and has published up the FDA, some of the risks of genome integration that can occur.
43:57.000 --> 44:02.000
And it's important to dissect his paper because his paper touches on the nanograms of DNA,
44:02.000 --> 44:08.000
but we really should be talking about copy numbers of DNA because all you need in 10 nanograms of DNA,
44:08.000 --> 44:10.000
you can get 1,000 copies of the human genome.
44:10.000 --> 44:14.000
But 10 nanograms of 200 bases of DNA, there's 50 billion copies of DNA.
44:14.000 --> 44:21.000
So he's saying that smaller copies because they have more active DNANs are more dangerous.
44:22.000 --> 44:31.000
And as was just pointed out in the chat, there's DNA in all the vaccines that we use.
44:31.000 --> 44:37.000
And if we actually actively look for it, I think Kevin McCurnan would find it.
44:37.000 --> 44:43.000
If he used that stain he just described a few minutes ago, I bet he'd find it in spades.
44:43.000 --> 44:48.000
And small little DNAs are dangerous, says Kevin.
44:48.000 --> 44:55.000
We've got to get it out of there.
44:55.000 --> 44:57.000
Do you see where we're going here, ladies and gentlemen?
44:57.000 --> 45:03.000
This is a joke.
45:03.000 --> 45:15.000
Applying these kinds of detailed molecular inspection to one product and not another.
45:15.000 --> 45:29.000
Knowing full well that the idea that there's no DNA in some of these childhood shots is just ridiculous.
45:29.000 --> 45:39.000
So malarities more important because it's the concentration of the sticky ends of DNA, the active 5 prime hydroxyls and phosphates that govern integration risks.
45:39.000 --> 45:43.000
A great paper down here will touch on this and show you how much of this stuff actually integrates.
45:43.000 --> 45:45.000
We also know the DNA is packaged.
45:45.000 --> 45:48.000
We've done some studies adding a nucleus to the vaccine.
45:48.000 --> 45:50.000
It does not change the CT scores.
45:50.000 --> 45:55.000
That tells you that the DNA is packaged inside the LNPs, which means it's transfection ready.
45:55.000 --> 46:02.000
Now, there's a problem with this is that when there's plasma DNA around, that means there's endotoxin around from a coli.
46:02.000 --> 46:09.000
And the lipid nanoparticles we know from the paper on the right basically obscure your ability to measure these things with LAL assays.
46:09.000 --> 46:15.000
We also know that the spike protein when expressed exacerbates the effect of endotoxin.
46:15.000 --> 46:24.000
So the combination of a poor readout and a protein that's expressed that exacerbates the impact of endotoxin means we need to be very close attention to the endotoxin numbers,
46:24.000 --> 46:27.000
which happen to be redacted in most of the information that's given.
46:27.000 --> 46:28.000
I don't have much more time.
46:28.000 --> 46:31.000
I think everyone's familiar that we can find this stuff everywhere in the body now.
46:31.000 --> 46:35.000
The bio distribution studies touch on this and now papers are coming out showing this in the heart.
46:35.000 --> 46:40.000
So to touch on your point about cancer, for the last few slides here, we are always cancering.
46:40.000 --> 46:44.000
It's just when mutagenesis outpaces the immune system that you begin to notice it.
46:44.000 --> 46:47.000
So you usually need more than one thing to cause cancer.
46:47.000 --> 46:49.000
So increasing the DNA alone may not do it.
46:49.000 --> 46:58.000
It may increase the mutagenesis rate, but unless you, if you also have a chronic insult to innate immune system like we know from these vaccines with lymphocytopenia and neutropenia,
46:58.000 --> 47:02.000
some of the effects of IgG4, some of the effects of the N1 methyl suiuridine.
47:02.000 --> 47:06.000
This combination can be a real potent combination.
47:06.000 --> 47:12.000
The third point we have is that there's some paper suggesting we're inhibiting the guardians of the genome, P53 and BRCA1.
47:12.000 --> 47:19.000
So all three of these things create a perfect storm that may be responsible for the cancer arise that we're seeing.
47:19.000 --> 47:23.000
I'd point everyone to John Bodwin's work looking at the death records in Massachusetts.
47:23.000 --> 47:27.000
That is a clear cut sign that we have an increase in cancer post-vaccination.
47:27.000 --> 47:29.000
Okay, final slide here.
47:29.000 --> 47:31.000
What's the call to action?
47:31.000 --> 47:33.000
We've put these primer sequences public.
47:33.000 --> 47:34.000
Anyone can download them.
47:34.000 --> 47:35.000
Anyone can replicate this.
47:35.000 --> 47:39.000
If you're not comfortable doing that, we're making some kits to enable this for pathologists.
47:39.000 --> 47:46.000
We've been asked for these from blood banks, burn banks, fertility clinics, people interested in breast milk, transplant organs and biopsies.
47:46.000 --> 47:49.000
There should be about 5,000 of these tests ready in late November.
47:49.000 --> 48:01.000
So Kevin is going to be controlling the PCR tests that are going to be used to find out what's going wrong in all of these tissues.
48:01.000 --> 48:05.000
He's going to be the guy after all these years.
48:05.000 --> 48:13.000
After all these different places that he's been inserted into the narrative, all the times he's come forward.
48:13.000 --> 48:24.000
A guy who's been working with the secret parts of the science part of the government.
48:24.000 --> 48:32.000
Because if you don't think the Human Genome Project was part of the DoD or nuts, since he cut his teeth with it,
48:33.000 --> 48:35.000
he's been working with the US government.
48:35.000 --> 48:45.000
The highest levels of the US government, he's got pictures of himself much younger with Francis Collins.
48:45.000 --> 48:56.000
If there's anybody that's privileged to ideas on what's going to be done with genomic data in the future, it's him.
48:57.000 --> 49:04.000
Hang it around with Eric Lander.
49:04.000 --> 49:11.000
I don't know if you recall or not, but
49:11.000 --> 49:17.000
when I start with this slide, this picture on his Twitter is his backyard.
49:17.000 --> 49:23.000
That's the Atlantic Ocean, the harbor in Boston.
49:23.000 --> 49:31.000
It's like a 7,000 square foot mansion in one of the most expensive places on earth.
49:31.000 --> 49:44.000
He's talking about companies, multiple biotech companies that he started and then sold.
49:45.000 --> 50:06.000
And you think that this guy is now coming to our rescue, throwing away the possibility of future military contracts, future government contracts by outing the US government's failure to provide a safe product,
50:06.000 --> 50:17.000
rather than being a controlled opposition dude who's going to make sure that this comes out in exactly the right way, at exactly the right time,
50:17.000 --> 50:22.000
with exactly the right talking points,
50:22.000 --> 50:27.000
so that we never circle back to all the other stuff,
50:27.000 --> 50:35.000
and that we just focus on this as we regulate this stuff in the future.
50:35.000 --> 50:43.000
And for the normies, this is a great hero here, right? Wow, there was DNA in the shots. That's crazy. I can't believe it.
50:43.000 --> 50:49.000
For the people that watch the view and CNN, this is about all they're ever going to get.
50:49.000 --> 51:04.000
A year from now or six months from now, they're going to see Kevin McCurna and think, wow, that's crazy.
51:05.000 --> 51:12.000
This is a time for us now to get CLIA labs going and to get IRBs in place so we can begin to measure this in patients that have been injured.
51:12.000 --> 51:16.000
And with that, I'll pass it off. Thank you.
51:16.000 --> 51:23.000
Well, thank you very much, Kevin. I'm really impressed how we ran through all this information in such a time.
51:23.000 --> 51:26.000
I didn't think it was possible. So thank you very much.
51:26.000 --> 51:31.000
And thank you so much for your pioneering work into this highly important topic.
51:31.000 --> 51:39.000
And just to recap that, yeah, his findings have been confirmed multiple times, there were no exception,
51:39.000 --> 51:51.000
and that the other interesting thing you pointed out, Kevin, was that the vials handed in for the regulatory bodies were different from the ones given to the public.
51:51.000 --> 52:04.000
And we'll talk more about the consequences that you touched on with the other panel speakers. So thank you very much. And see you later.
52:04.000 --> 52:19.000
So he gave us a little talk about DNA contamination. He reminds us about endotoxin. I would like to remind you that Malone told us in an interview that he solved that problem already.
52:19.000 --> 52:34.000
I remember if it was that Vay John Health interview, or was the one before that that we were watching, but he definitely said that he had solved the endotoxin problem. I know it for sure, because it's in my notes previous pages.
52:34.000 --> 52:48.000
The European medical something something application didn't disclose the promoters that were used in the process to write. So that's normal. We knew that that already.
52:48.000 --> 52:55.000
This be 40 can be a nuclear targeting sequence. I didn't know that. But, you know, apparently that's, that's true. Whatever. It's fine.
52:55.000 --> 53:05.000
QPCR primers for the spike and as we 40 and one other one that he was sending around and people were using those primers and confirming that stuff was in there.
53:05.000 --> 53:14.000
The RNA is now intact. And they remember that he was on my stream talking about how the paperwork that was submitted by the,
53:14.000 --> 53:20.000
by the vaccine manufacturers to the regulators indicated that the RNA indeed wasn't pure and it was a smear.
53:20.000 --> 53:36.000
So the smear, I think was still visible in the, in the image that he used in the form of the shoulders that were on both sides of the peak, which indicated the intact RNA.
53:37.000 --> 53:51.000
And so those small RNAs are the ones that have the potential for small interference and an interference of RNA interference. And so, especially in pregnant women where that potentially could go to the, to the fetus, those small RNAs.
53:51.000 --> 54:00.000
Wow, crazy, hot, small DNA, small RNAs. Those are the dangerous ones are in there, but he's not really talking about those small RNAs.
54:00.000 --> 54:18.000
He did talk about the small DNAs though. So that's fine, I guess. DNA replicated sequence assembly. And so that was the Japanese group that had taken their sequence data and replicated the assembly of the plasmid, which I again said, I don't think that's that big a deal.
54:18.000 --> 54:25.000
I did find it strange that DDARI old slab is part of this. I found it interesting.
54:25.000 --> 54:44.000
I don't think you will remember this, but just before this DNA crap came out, he had a series of tweets where he lamented that it was unfortunate that they didn't test the LNP in control experiments first because it could be that they're going to have to ditch the RNA technology
54:44.000 --> 54:58.000
because they hadn't tested the LNP first and maybe the LNP was causing all of this, all of this havoc, all of these adverse events that were going to be blamed on the RNA. He tweeted that.
54:58.000 --> 55:11.000
That's for sure. And so, it's just another one of those things that he mentioned as a flash in the pan, but it never really became anything except for his two followers on the few podcasts that he talked to at that time.
55:12.000 --> 55:21.000
And he's been doing that since about the end of 2020 when he first came on the scene.
55:21.000 --> 55:31.000
So then he says that the LNP prevents you from testing for the concentration of the endotoxin, which I found curious, and that the spike makes it worse.
55:32.000 --> 55:35.000
So what a crazy narrative this is.
55:35.000 --> 55:40.000
And so the DNA plus an immune assault could equal cancer.
55:40.000 --> 55:49.000
And of course, also the interference with P 53 and broke one is also possible increases in cancer.
55:49.000 --> 55:59.000
So I just want to make a quick list before I say good night of the things that Kevin has come out against or about or spoken out against.
55:59.000 --> 56:04.000
So you can see how what my problem is.
56:04.000 --> 56:20.000
So this is a list of Kevin McCurnan objections.
56:20.000 --> 56:26.000
So the first one that he came out with was the PCR test.
56:26.000 --> 56:31.000
And I showed you that over here with this paper.
56:31.000 --> 56:45.000
And the addendum, which has a lot more data on what they found and undiluted samples and what they think they should have done with the primers and this kind of thing.
56:45.000 --> 56:51.000
So first they objected to it in short form and then they put an addendum that explained some of the things that they thought were wrong.
56:51.000 --> 56:55.000
Sorry, I'm looking at the camera, but you can't see me.
56:55.000 --> 57:04.000
And so this was already in 2020 and then the addendum was sometime in early 2021.
57:04.000 --> 57:20.000
And so first he came out objecting to the PCR test, but not.
57:20.000 --> 57:31.000
It's important to realize that not the use of PCR to detect COVID, but the specific design of the PCR test that was being used.
57:31.000 --> 57:42.000
In other words, it's fine to use PCR test to test for a novel virus during a pandemic. It's just not that the way you designed it.
57:42.000 --> 57:45.000
I know how to design it better.
57:45.000 --> 57:49.000
That's the first objection.
57:49.000 --> 57:59.000
The second objection that he had, I believe, was that the RNA wasn't pure.
57:59.000 --> 58:09.000
And this came from the regulatory agencies paperwork where there was a smear of RNA instead of what should have been a band.
58:09.000 --> 58:20.000
And the third thing he came out with was in concert with Stephanie Sineff.
58:20.000 --> 58:29.000
And that was the code on optimization.
58:29.000 --> 58:31.000
And why did he come out with that?
58:31.000 --> 58:41.000
I think it was because we came out with it around this a lot earlier and we were still pushing the idea that silent mutations can cause genetic diseases.
58:41.000 --> 58:49.000
Silent mutations are changes in the genetic code, which don't change the amino acid coded for in the RNA.
58:49.000 --> 59:02.000
But somehow or another, changing those codons that are synonymous codons can change the way the protein folds and still result in and actually often in disease.
59:02.000 --> 59:10.000
So part of the codon optimization problem is the idea that it will be folded differently than the viral protein will be folded.
59:10.000 --> 59:17.000
And then the second thing is the chemical alteration.
59:17.000 --> 59:21.000
And the chemical alteration is the pseudo-uridine, right?
59:21.000 --> 59:31.000
And the pseudo-uridines, as he said, could cause premature stop codons.
59:31.000 --> 59:42.000
And also other things, because they're we wobble bases, so you could cause substitutions as well.
59:42.000 --> 59:48.000
Sorry about that. I was looking through my glasses there for a minute.
59:48.000 --> 59:54.000
And so this is also RNA, right? This is also RNA.
59:54.000 --> 01:00:02.000
And it's two things really, but we put codon optimization and chemical alteration in the same, in the same bunch here.
01:00:02.000 --> 01:00:13.000
Then for about two weeks, I just mentioned it a minute ago, he said the LNP hadn't been dang it.
01:00:13.000 --> 01:00:20.000
hadn't been control tested.
01:00:21.000 --> 01:00:30.000
And he tweeted that out and he said he lamented that we might be throwing away the RNA or blaming the RNA because the lipid nanoparticle wasn't properly tested.
01:00:30.000 --> 01:00:38.000
Then that objection completely disappeared and then came the CDNA contamination.
01:00:39.000 --> 01:00:50.000
Now what I want you to understand is that in all of these objections, there might be valid biology here.
01:00:50.000 --> 01:00:55.000
In fact, I believe there is.
01:00:55.000 --> 01:01:00.000
And it's valid biology that needed covering up and needed control.
01:01:00.000 --> 01:01:03.000
It needed muffling.
01:01:04.000 --> 01:01:16.000
It needed somebody that could be promoted in social media that would satisfy the need to be heard of other people.
01:01:16.000 --> 01:01:18.000
Like me.
01:01:19.000 --> 01:01:33.000
Me complaining needs to have somebody like Jessica Rose or Robert Malone or Kevin McKernan out ahead of me saying the things that I think need to be said so that I can cheer for them.
01:01:33.000 --> 01:01:38.000
Instead of promote me instead of think that my work needs to be done.
01:01:38.000 --> 01:01:43.000
I mean, my goodness, if these great people are doing it, what do I need to do?
01:01:43.000 --> 01:01:53.000
And I believe that Kevin is likely a person that was installed on purpose to step in front of people like Claire Craig and Mike Eden and Thomas Binder.
01:01:53.000 --> 01:02:02.000
Look at this list of people that he was allowed to step with in front or out with together.
01:02:03.000 --> 01:02:19.000
Thomas Binder, Mike Eden, Claire Craig, those three already are enough for me to believe that he was added to that paper or joined that paper just to make sure that he could be on them and influence them.
01:02:19.000 --> 01:02:20.000
Should they need a phone call?
01:02:20.000 --> 01:02:21.000
Remember me?
01:02:21.000 --> 01:02:22.000
I'm Kevin.
01:02:22.000 --> 01:02:25.000
I got to straighten you out on something.
01:02:25.000 --> 01:02:36.000
And then he goes through the PCR test to the RNA is in pure to the code on optimization and chemical alteration over the course of about a year and a half.
01:02:36.000 --> 01:02:48.000
Keeping everybody running in this hamster wheel about what's going to be the right objection. Oh, is there another reason to object? Is there another reason to object? Oh, my goodness.
01:02:48.000 --> 01:02:56.000
Then the LNP, then the DNA contamination and all the while in there, no one's ever talking about infectious clones.
01:02:56.000 --> 01:03:00.000
All the while in there, nobody's talking about the swarm.
01:03:00.000 --> 01:03:13.000
All the while in here, everybody is moving from one thing to another and not talking about transfection in its best form would be garbage.
01:03:13.000 --> 01:03:23.000
And least of all is Kevin is definitely never saying that transfection of a healthy child is absolutely murderous.
01:03:23.000 --> 01:03:28.000
It's absolutely foul.
01:03:28.000 --> 01:03:32.000
But he's just saying that the DNA in there is foul.
01:03:32.000 --> 01:03:38.000
We should be careful with it as we go forward as we regulate these things going forward.
01:03:38.000 --> 01:03:50.000
He should be saying because of all of these list of things, he should be saying that the injection of these kinds of things into healthy humans is dumb.
01:03:50.000 --> 01:03:52.000
But he's not saying that.
01:03:52.000 --> 01:03:59.000
And I need you to see it as clearly as possible. He's not saying that. He's never said that.
01:03:59.000 --> 01:04:04.000
He's never said that PCR shouldn't be used. He said it could be better.
01:04:04.000 --> 01:04:11.000
He's never said the RNA is dangerous and transfection should never be done. No, it could be better.
01:04:11.000 --> 01:04:24.000
It could be made cleaner. Maybe the LNP should have been tested better. Do you see it?
01:04:25.000 --> 01:04:30.000
I hope you can see it, ladies and gentlemen, that this is a elaborate hoax.
01:04:30.000 --> 01:04:41.000
We have been led by our noses and people are still being led by their noses to believe that this was just kind of an emergency worst-case scenario.
01:04:41.000 --> 01:04:48.000
We fumbled the ball a few times. Thankfully, we got it across the finish line. Next time, we'll do it better.
01:04:48.000 --> 01:05:03.000
And this illusion of consensus has been started with this illusion of consensus about gain of function viruses so that they can mislead our children and invert their freedoms to something of fascism.
01:05:03.000 --> 01:05:18.000
They did it by lying to us about this biology, this steady biology here in the sky blue and told us a narrative about these little tiny numbers down here.
01:05:18.000 --> 01:05:30.000
A narrative about a novel virus that everybody was vulnerable to that was detectable from a non-specific PCR test influenced by the fact that you could get a lot of money if you used it.
01:05:30.000 --> 01:05:40.000
And for a while, in the beginning, you didn't even have to use it and you could get a lot of money if you just said it was COVID and we know that, but none of those people will talk about it.
01:05:40.000 --> 01:05:58.000
Kevin won't ever say that that's a problem, that the protocols were a problem, that the protocols killed people for two and a half years and we called it COVID because it was handy for the national security state because we wanted to mislead the young
01:05:58.000 --> 01:06:01.000
because he's part of misleading the young.
01:06:01.000 --> 01:06:08.000
Wittingly or unwittingly, it's hard for me to believe he's unwittingly involved at this stage.
01:06:08.000 --> 01:06:27.000
Given that he's never really tried to become a friend, that despite the fact that we've had lots of contact together and been on stream lots of times, it's always been an antagonistic relationship that's friendly when we're on stream and when on Twitter, he's a dick on wheels.
01:06:28.000 --> 01:06:31.000
It's really extraordinary how these people behave.
01:06:31.000 --> 01:06:43.000
It's all because they want to sustain this illusion of consensus that I'm trying to break about gain a function virus leak that allowed them to change our minds about what we know about immunology.
01:06:43.000 --> 01:06:50.000
And once they changed our minds about what we know about immunology, they killed people with hospital protocols and called it COVID.
01:06:51.000 --> 01:06:56.000
That's what happened, ladies and gentlemen, this illusion of consensus allowed it to happen.
01:06:56.000 --> 01:07:06.000
And if we don't break this, it will brainwash our children into believing that they too experienced a lab leak in 2020.
01:07:06.000 --> 01:07:15.000
And that's the reason why they feel more comfortable with a shitty ass mask on their face as a teenager.
01:07:15.000 --> 01:07:24.000
It was really a conflated background signal, ladies and gentlemen, whether it's a real signal or a fake signal or a combination of planted signal and fake signal and real and fake.
01:07:24.000 --> 01:07:27.000
It doesn't matter.
01:07:27.000 --> 01:07:32.000
They've never proved to you that there was no signal in 2019.
01:07:32.000 --> 01:07:39.000
They never proved to you that there's any difference and they have not acknowledged how many people they killed in hospitals.
01:07:39.000 --> 01:07:44.000
And so as a conflated background signal, protocols were murdered in transfection is a medicine.
01:07:44.000 --> 01:07:48.000
It doesn't matter if it was an infectious clone or a transfection or whatever you want to call it.
01:07:48.000 --> 01:07:52.000
As long as you don't say there were no viruses.
01:07:52.000 --> 01:07:57.000
Because those people are the worst.
01:07:57.000 --> 01:08:04.000
I think they are mostly unwittingly thinking that they're doing something right because they're just not clever enough to know.
01:08:04.000 --> 01:08:08.000
But the ones that know they're just rotten.
01:08:08.000 --> 01:08:14.000
Absolutely rotten.
01:08:14.000 --> 01:08:17.000
They lied to us. That's for damn sure.
01:08:17.000 --> 01:08:20.000
They got lots of other people to lie to us.
01:08:20.000 --> 01:08:27.000
And they kept those people comfortable as long as they told the lie as long as they didn't cross the faith.
01:08:27.000 --> 01:08:37.000
And they have lucrative sub-stacks and sell books and make a living just fine and they don't address any of this anymore.
01:08:37.000 --> 01:08:47.000
The fact that Robert Malone and all these people don't talk about this stuff anymore is all you need to know because they should be repeating it all the time.
01:08:47.000 --> 01:08:50.000
And you know what's missing from this list?
01:08:50.000 --> 01:08:52.000
It should be obvious but they're up there.
01:08:52.000 --> 01:08:54.000
Protocols are murder.
01:08:54.000 --> 01:08:58.000
And nobody says it anymore.
01:08:58.000 --> 01:09:03.000
Because there's plan is going perfectly. We've already almost there.
01:09:03.000 --> 01:09:06.000
Our rights have almost all been inverted.
01:09:06.000 --> 01:09:10.000
And the data collection is about to begin.
01:09:10.000 --> 01:09:13.000
So buckle your seats, seat belts ladies and gentlemen.
01:09:13.000 --> 01:09:20.000
Intramuscular injection of any combination of substances with the intent of augmenting the immune system is probably dumb.
01:09:20.000 --> 01:09:23.000
And I know for sure the transfection is not immunization.
01:09:23.000 --> 01:09:29.000
The fact that these people won't say that is all you need to know.
01:09:29.000 --> 01:09:34.000
Stop all transfections in humans. I love you all very much. Thanks for coming.
01:09:34.000 --> 01:09:40.000
This has been a wonderful, painful stream for me.
01:09:40.000 --> 01:09:48.000
But I need to use my voice and I don't know I'd make a sit around all day.
01:09:48.000 --> 01:09:52.000
Thanks for listening and I'll see you guys again tomorrow.
01:10:18.000 --> 01:10:24.000
Thanks for listening.
01:10:48.000 --> 01:11:13.000
Thanks for making those clips, Jeff. Thanks, Jeff.
01:11:18.000 --> 01:11:25.000
Thank you.