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.

10506 lines
237 KiB

WEBVTT
00:00.000 --> 00:02.000
You
00:30.000 --> 00:32.000
You
01:00.000 --> 01:02.000
You
01:30.000 --> 01:32.000
You
02:00.000 --> 02:02.000
You
02:30.000 --> 02:32.000
You
03:00.000 --> 03:02.000
You
03:30.000 --> 03:32.000
You
03:32.000 --> 03:34.000
You
03:34.000 --> 03:36.000
You
03:36.000 --> 03:38.000
You
03:38.000 --> 03:40.000
You
03:40.000 --> 03:42.000
You
03:42.000 --> 03:49.000
Senator Ron John, nice work Albert I think he's a very very astute man I think he's really in in it for the real fight so
03:49.000 --> 03:55.000
I'm happy to hear you connected with him he's actually asked me for an update that I still haven't written
03:55.000 --> 04:01.000
He's scheduled for 60 minutes playing the reference your work so it's good that you've already made him I'm really happy to hear that
04:01.000 --> 04:08.000
Japanese television people everywhere are starting to listen to him it's embarrassing
04:25.000 --> 04:27.000
You
04:55.000 --> 04:57.000
Oh
05:25.000 --> 05:39.460
No one will believe
05:55.000 --> 05:57.000
You
06:25.000 --> 06:40.000
Good evening ladies and gentlemen this is Gigo and biological a high resistance low noise information brief brought to you by biologists the 13th of November
06:40.000 --> 06:53.000
2023 we are still fighting to escape this limited spectrum of debate this critical and dissonant views within it that have been falsely amplified to give us this perceived
06:53.000 --> 07:10.000
perceived vision of what is true from these people to mislead the young and yeah I'm I'm really really stoked that we're made so much progress and I'm really happy that you guys are a part of it
07:10.000 --> 07:20.000
But we got to take the power back from these skeletons we do we have to take the power back from these charlatans I have the feeling my voice is a little hot
07:20.000 --> 07:27.000
I see the bricks I hope you guys do
07:27.000 --> 07:39.000
I got to tell you the week and a half off of my voice has done wonders for it it has now progressed quite a bit let me just read these off really quick
07:39.000 --> 07:48.000
There was no spread in New York City infectious clones are the only real threat placebo batches were like distributed in transfection and healthy mammals is dumb
07:48.000 --> 07:56.000
We can go farther and say that the protocols were murder gave a function as a mythology the scooby-doo mystery is real and the players are committed to lies
07:56.000 --> 08:03.000
and the lies are very specifically about this the lies
08:03.000 --> 08:07.000
oh that's not the way I can do that
08:07.000 --> 08:22.000
the novel virus is a fate the fact that millions of people died and millions more were saved that's a fate
08:22.000 --> 08:30.000
the idea that gain of function is a real danger that's a fate and the idea that a virus a pandemic is definitely going to come again
08:30.000 --> 08:40.000
that's a fate that's a fate that's not anything based in reality it's not anything based in biology and that is really where we are
08:40.000 --> 08:51.000
modified mRNA definitely modified are in our RNA destroyed cardio myocytes and any other cell that it expresses itself in
08:51.000 --> 09:09.000
biology we really have to not take the bait on TV and social media if you think this is something now it's nothing compared to what they're going to throw at us
09:10.000 --> 09:30.000
I am going to have the event a episode 2 it is coming don't underestimate it's just a question of everything falling in place but there will be a clone war episode 2 for sure
09:30.000 --> 09:35.000
and I guess here we are
09:35.000 --> 09:39.000
let me see if I can shift over here without too much
09:39.000 --> 09:41.000
hassle
09:41.000 --> 09:48.000
good evening ladies and gentlemen welcome to the show this is Giga Home Biological a high-resistance low-noise information brief brought to you by a biologist
09:48.000 --> 09:55.000
my name is Jonathan Cooley and I'm coming to you from live from the back of my garage in Pittsburgh, Pennsylvania
09:55.000 --> 10:03.000
I'm happy to be here I took a week off after well more than a week off it was almost two weeks off actually
10:03.000 --> 10:13.000
partly to rest my voice partly because I was traveling and partly because I've been transitioning into this role as a basketball coach
10:13.000 --> 10:21.000
and so I needed to kind of figure out okay how is this going to impact my evenings how is this going to impact my streaming
10:21.000 --> 10:31.000
how is that schedule going to work and more importantly what kind of stress does it put on my partner my wife my best friend in terms of bedtime and everything
10:31.000 --> 10:40.000
so I think we're kind of settling around this this attractor state which is around nine or eight thirty
10:40.000 --> 10:48.000
it's a lot better if I'm around for my sons to get them in bed and get their phones away from them and on the charger
10:48.000 --> 10:57.000
to get the TV off early this kind of thing don't judge me my kids are like your kids they do actually have phones
10:57.000 --> 11:04.000
they don't have a lot of stuff on them but there's enough on them so that you know their phone is a little annoying at times
11:04.000 --> 11:14.000
and so they're not allowed to use it very much they use it for Spotify a lot but you know after dinner when what's on the TV is not what they're interested in watching
11:14.000 --> 11:27.000
or when someone else has control those are when the phone they tend to disappear to their rooms with their phone and so it's a lot easier to do that together as mom and dad
11:27.000 --> 11:36.000
and so I don't think there are going to be very many streams that happen in the weekdays before eight or unless they're before dinner
11:36.000 --> 11:45.000
and then we could we're talking about four in the afternoon or five in the afternoon that's also possible in fact I expect that window to be pretty useful for basketball practice days
11:45.000 --> 11:54.000
but I think I'm officially starting another streak of streams right now which means that we could be looking at you know a few a few in a row
11:54.000 --> 12:02.000
certainly daily and there very few are going to be in the morning most of them are going to be in the afternoon either before dinner or after dinner
12:03.000 --> 12:10.000
in case it's not clear intramuscular injection of any combination of substances with the intent of augmenting the immune system is dumb
12:10.000 --> 12:19.000
and transfection healthy humans is criminally negligent you either know how bad it is and you shouldn't recommend it for your patients
12:19.000 --> 12:27.000
or you didn't know how bad it was and then you were criminally negligent this is my new sort of wording I'm trying to adjust this a little bit
12:27.000 --> 12:32.000
so you could adjust it a little more and you could just say that intramuscular injection of any combination of substances
12:32.000 --> 12:42.000
with the intent of augmenting the immune system of healthy humans including transfection and transformation is criminally negligent
12:42.000 --> 12:52.000
there now we've got it I think that's pretty straightforward I don't think you need to have 40 doctors at a conference and spend four days on stage
12:52.000 --> 13:06.000
to try and explain the biological basis for this stance and I think that any biologists worth their salt in any field of academia any branch of academic investigation
13:06.000 --> 13:20.000
I invite you to come on my stream and challenge this notion come on this stream and explain why intramuscular injection is a really bright way of trying to augment the immune system
13:20.000 --> 13:32.000
and how it is that your combination of substances overcomes what is clearly in a broad sense one of the most ridiculous ideas we've ever applied in modern science
13:32.000 --> 13:42.000
I know this seems like a really crazy stance to take but I have been ahead of this for a while and I'm afraid I'm ahead of this one as well
13:42.000 --> 13:57.000
I mean it's all of these excuses being made for when this might be appropriate or what we have to do to make intramuscular injection an appropriate way of augmenting the immune system but there is no way to do it
13:57.000 --> 14:06.000
and there is a precise way of speaking about transfection and I think it's worth speaking about transfection in that precise way
14:06.000 --> 14:16.000
transfection of healthy humans is criminally negligent I think that's a great way to speak but if you want to make one statement not two I think we can also say it this way
14:16.000 --> 14:31.000
there is no useful way of augmenting the immune system via intramuscular injection it's just a dumb idea on its face and we should have known this many many many years ago and in fact I should edit that statement
14:31.000 --> 14:42.000
many people have known this for a very long time are my audio sync out okay well then we're just going to stop and start again if you guys don't mind because I just did this so
14:42.000 --> 14:46.000
I'll start with this slide let me think here
14:48.000 --> 14:52.000
yeah I'll just start with this slide right here I'll be right back see you soon
15:01.000 --> 15:20.000
how are we doing piano fab does this look better
15:20.000 --> 15:37.000
all right great so welcome to the show again this is giggle and biological high resistance low noise information brief brought to you by a biologist it's the 13th of November 2023 and we are still fighting
15:37.000 --> 15:54.000
in this same basic battle and battle really focuses on messaging precise messaging right now I think the main job of everybody that's in this theater is to obfuscate the truth
15:54.000 --> 16:11.000
and the truth that we've learned over the last three years is that the public health apparatus of America and around the world has been organized over the last couple decades to produce what is effectively a world wide theater
16:11.000 --> 16:30.000
and a worldwide theater designed to sort of invert the way that we think about our sovereignty and to start to make us think that mother nature presents so many different dangers that the only way that we can really exist as a global community is to submit to this public health apparatus
16:31.000 --> 16:41.000
and the way that we get rid of this idea the way that we fight this idea is to teach our children the biology which underpins these two statements right here there
16:42.000 --> 16:50.000
and the two statements are that intramuscular injection of any combination of substances with the intent of augmenting the immune system is dumb
16:50.000 --> 16:59.000
and more specifically for the context within which we find ourselves the transfection in healthy humans is criminally negligent
17:00.000 --> 17:17.000
and we have to be very precise here because one of the current temptations has to do with criminal negligence but then the circumstances around which the legal establishment of that is being made is a false one
17:18.000 --> 17:27.000
and again this is about trying to make sure that we don't ask the correct questions because the correct questions are the way that we escape
17:28.000 --> 17:35.000
and so as long as we keep chasing down the wrong villains and pull in the masks off of the wrong people then we're never going to solve this mystery
17:36.000 --> 17:57.000
but it is the act of unmasking these people it is the act of having solved the mystery of the lab leak that has bamboozled the entire globe into thinking that we did have a pandemic of a novel virus that millions of people died from it but millions more were saved
17:58.000 --> 18:14.000
and then gain a function is real and probably the source of this pandemic and therefore it's likely to come again that's a faith that we have been bamboozled into believing through the use of bad language and bad theater
18:17.000 --> 18:23.000
intramuscular injection of any combination of substances with the intent of augmenting the immune system of a healthy human
18:24.000 --> 18:34.000
including transfection and transformation is criminally negligent and I say it a little differently here because I guess there is a way where you might want to augment the immune system of a sick human
18:36.000 --> 18:47.000
to try and make that sick humans immune system fight off cancer better that's a pretty limited thing that is not a healthy human it's a human that's going to die anyway
18:48.000 --> 18:56.000
and so there are limited uses for it but if you if you use precise language we can describe exactly that which we object to
18:58.000 --> 19:05.000
and I would argue that a lot of these people in the intellectual dark web although they talk really big with their big words like heterodoxy
19:06.000 --> 19:13.000
they actually speak very imprecisely about the exact things the exact ideas
19:14.000 --> 19:30.000
from which our enchantment is constructed and we are indeed enchanted by these people enchanted by the ideas that they have woven together in a false reality
19:31.000 --> 19:40.000
it is a illusion of consensus that is created by these ideas that they have woven together with the help of social media with the help of mainstream media
19:41.000 --> 19:50.000
and a coordinated effort by themselves not to question the faith in a novel virus that killed millions of people but also millions of people were saved from
19:51.000 --> 19:54.000
and likely came from gain of function and therefore will come again
19:57.000 --> 20:06.000
and so I've been finding out about the intellectual dark web and how coordinated they have been how on message they've been in real time
20:07.000 --> 20:11.000
and in fact two years too late because I thought Brett Weinstein was kind of a hero for a while
20:12.000 --> 20:14.000
I thought he was actually listening to me
20:15.000 --> 20:21.000
I even thought that him casually mentioning my name every once in a while on the stream was somehow him finally giving me attention
20:23.000 --> 20:31.000
little did I know that he's never retweeted anything he's never really promoted a website or a link that would get anybody to me he's never spelled my name
20:32.000 --> 20:37.000
he's never shown a picture and he certainly never had me on his podcast
20:40.000 --> 20:46.000
we're just talking about a lot of liars here ladies and gentlemen I don't know who's lying and who doesn't know better
20:47.000 --> 20:51.000
and I'm not going to make any accusations like that but I'm quite I'm quite certain
20:52.000 --> 20:57.000
the vast majority of people that have been elevated in social media that have risen during the pandemic
20:58.000 --> 21:06.000
even risen through censorship these people have been artificially so and their rise is far from organic
21:09.000 --> 21:21.000
in much the same way that people like Mark Hewson tonic Mark Coolack after four years of producing consistent output on YouTube still has like what six thousand followers
21:22.000 --> 21:35.000
and it's not for a lack of consistency or lack of integrity or anything like that it's for artificially the spread of the information is artificially hampered
21:36.000 --> 21:46.000
dominoes are taken out of the train in random places and it prevents the natural spread of the information by attention and excitement
21:47.000 --> 21:59.000
and I think that actually people imagine that one part of this equation happens but the other part doesn't when in reality both happen
22:00.000 --> 22:08.000
and actually it's more important that those dominoes are taken out of the way so that even when people share your work it doesn't catch
22:09.000 --> 22:18.000
that's much more important level of control in the on the algorithm level than it is to say artificially inflate somebody because if it's garbage
22:19.000 --> 22:28.000
if it's garbage information it's not going to have the it's not going to have the inertia that that truth has
22:29.000 --> 22:38.000
in fact that's why a lot of these people that are involved in the intellectual dark web need to deal in a soup of truth and untruth
22:39.000 --> 22:51.000
half truth and bad questions because they have to walk very carefully around the truth so that it feels genuine from some superficial standpoint
22:52.000 --> 23:05.000
and there are other players and other layers that are responsible for a similar part of the total effect of the worst case scenario team
23:06.000 --> 23:12.000
is the best way that I can describe them everybody in the intellectual dark web everybody in all the corners of the internet
23:13.000 --> 23:23.000
all the people that got little help on social media and most of the people who seem to get tips in the beginning of the pandemic about a fear and cleavage site
23:24.000 --> 23:34.000
or about the effectiveness of remdesivir and they were months ahead of these sort of crucial notions of the worst case scenario being possible
23:35.000 --> 23:43.000
the worst case scenario being a lab leak possible you know ridiculous infectiousness of a virus that had a fear and cleavage site
23:44.000 --> 23:53.000
these cartoon stories and mythologies were seeded very early on in several different places and several different heads and several different corners on the internet
23:54.000 --> 24:01.000
and people were allowed to write books about these ideas in order to amplify them early as one side of a narrative
24:02.000 --> 24:10.000
and you had to figure out by removing the masks of these bad guys by catching them in lies by reading their partially redacted emails
24:11.000 --> 24:14.000
you were supposed to feel like you were solving the puzzle
24:16.000 --> 24:26.000
and yet none of these people in all of their research were ever able to find this article from 2004
24:27.000 --> 24:36.000
where they just say the silent stuff out loud in their introduction nobody nobody in the intellectual dark web
24:37.000 --> 24:51.000
not Sam Harris or Brett Weinstein or Kevin McCann or Charles Ricksey or Andrew Huff or Robert Malone or where were all these people
24:52.000 --> 25:01.000
why aren't they bringing up the fact that the head of the National Cancer Institute and his postdoc wrote a article about
25:02.000 --> 25:09.000
from genome to vaccine where they state the market for vaccines is driven by perception not by actual need
25:10.000 --> 25:18.000
so unlike pharmaceuticals for which present illness drives demand it is the perception of risk of diseases that creates a desire for vaccination
25:22.000 --> 25:30.000
this is written in 2004 this is what they say behind closed doors when they admit that this is a business
25:32.000 --> 25:40.000
when they admit that yeah you know water sanitation washing hands and soap and this kind of stuff yeah it made a big difference
25:41.000 --> 25:49.000
yeah aseptic technique that made a big difference yep antibiotics huge difference yep better medicine better treatments
25:50.000 --> 25:59.000
better food better nutrition all made a big difference yep yep but in front of the camera and in front of the grant committee
26:01.000 --> 26:08.000
they usually say that well you know vaccines are the best thing ever you know it's like the pyramids and vaccines and airplanes
26:09.000 --> 26:12.000
best inventions like just a short list
26:13.000 --> 26:22.000
and so that's how you can tell that these people are full of it that's how you can tell if you look at somebody like Peter McCullough who's come from
26:23.000 --> 26:34.000
you know being full blown allopathic just mainstream doctor to being on podcasts now saying that if he was raising a kid now he wouldn't have any vaccines in that kid
26:35.000 --> 26:47.000
now that's progress that's growth that's realizing the reality in front of you and the consequences of all of the data points that you have in front of you
26:48.000 --> 27:00.000
there's no other conclusion to come to and it's really important to realize that in this Scooby-Doo everybody's going to have to come to their own realization of how bad it is
27:01.000 --> 27:16.000
and when Peter McCullough was on my stream he hadn't yet come that far he might have come that far in private but not in person and everybody I'm predicting everybody is going to have to come that far
27:17.000 --> 27:24.000
and if you don't make it you will be part of the trap you will be part of the reason why humanity is lost
27:25.000 --> 27:39.000
because coming to that realization that realization that is that is really described perfectly by Peter McCullough saying that you know if I was to start all over again and have kids again I don't think I would I would forgo the vaccine schedule
27:40.000 --> 27:53.000
so that's giant and right now the Scooby-Doo and all of the people who have perpetuated the Scooby-Doo on us whatever the right word is enacted it in order to fool our children
27:54.000 --> 28:03.000
those people are in their last place the theater is a visible thing now the bricks are visible some of the lights are out
28:04.000 --> 28:21.000
some of the theater lights have come on and so the the production is being exposed it's really just a question of how stubborn is the majority of the members of the audience and how can we force them to see it to acknowledge it
28:22.000 --> 28:34.000
that we were duped that we were duped by our whole government by that even that performance by Rand Paul and Tony Fauci in 2020 was a duping they did that to us
28:35.000 --> 28:44.000
that wasn't two guys acting like good guys trying to do their best to figure it out and Tony was lying to Rand
28:45.000 --> 29:01.000
that was a performance that was a carefully orchestrated performance and it was designed to do exactly what it did solidify the support for Fauci on all the people who were on his team
29:02.000 --> 29:10.000
and solidify the support against or the opposition to Fauci in this the suspicion of a lab leak cover up on the other side
29:11.000 --> 29:15.000
and make both of those teams convinced that they are right
29:16.000 --> 29:20.000
it was the one of the most beautiful things I had ever seen
29:21.000 --> 29:24.000
and as I watched it live I knew it was baloney
29:25.000 --> 29:35.000
but I couldn't quite understand how the baloney was being used I couldn't understand it as a Scooby-Doo that they were fooling an entire planet
29:36.000 --> 29:48.000
into thinking that they were catching a liar or that a hero was being mistreated and no matter which narrative you chose you lose
29:49.000 --> 29:56.000
because then you have chosen that there is a novel virus it's definitely killing a lot of people we definitely need to do something
29:56.000 --> 30:04.000
it's probably going to function it could come again you accepted it all we including me accepted it all
30:05.000 --> 30:08.000
and we spent two years arguing about that
30:09.000 --> 30:16.000
well a lot of us did I spent about four months arguing about that before I realized that that argument meant nothing
30:17.000 --> 30:24.000
because the biology of coronavirus the biology of RNA viruses doesn't support the idea of a pandemic
30:25.000 --> 30:34.000
it doesn't support the idea of a uniformly spreading RNA signal over multiple years and multiple waves
30:35.000 --> 30:41.000
there's no support for this there's no biological basis for this other than the stories that are told and introductions
30:42.000 --> 30:47.000
and discussions of a few science papers scientific papers around the world that's it
30:48.000 --> 31:00.000
you can't even really find the biology that supports this in a in anything but but an introduction where they are where they are waxing intellectual about things that don't exist
31:01.000 --> 31:11.000
but what we're starting to learn from this pattern and I think it's really important to see this what we're learning from this pattern is that we may have been governed like this for many decades
31:12.000 --> 31:25.000
and they just have lied about other things in the same way that we're starting to wake up to the idea that what if what if other government proceedings have been performances
31:26.000 --> 31:36.000
what if other government scandals have been performances what if other other government controversies have been performances
31:37.000 --> 31:48.000
and that's where this whole narrative starts to fall apart that's where we as Americans need to start to take responsibility for governing our country again
31:49.000 --> 31:53.000
we've got to take responsibility and take back our republic again
31:55.000 --> 32:02.000
because we can't expect them to do it because remember the people that coming to the rescue are also part of the show
32:03.000 --> 32:09.000
until we are rescuing ourselves we are allowing the show to continue
32:13.000 --> 32:22.000
I want you to watch this video again because I want to remind you of the kind of semantic war that they are waging on us
32:23.000 --> 32:38.000
the big problem in vaccines has been that while it's been possible in the past to make vaccines against viruses that cause acute self-limited infections
32:39.000 --> 32:46.000
that's mostly been done by making either an attenuated or killed virus
32:47.000 --> 32:59.000
which induces an immune response that mimics the immune response that you get to the natural infection because the natural infection will give you lifelong or at least long lasting immunity
33:00.000 --> 33:06.000
but now what's left are viruses that cause chronic infections or cancer that causes chronic disease
33:07.000 --> 33:13.000
where the disease itself does not induce an adequate response to get protection
33:13.000 --> 33:18.000
so now the vaccine has to be better than the virus or the cancer itself
33:19.000 --> 33:22.000
so we have to develop new ways again
33:23.000 --> 33:26.000
so it's very important to see how deceptive what he just said is
33:27.000 --> 33:34.000
and it is actually one of the best soundbite examples that I've ever found of this particular point
33:35.000 --> 33:38.000
which is really pervasive across this whole narrative
33:39.000 --> 33:46.000
the idea is that we can augment the immune system to respond to any disease
33:47.000 --> 33:49.000
it's the immune system we have to augment
33:50.000 --> 34:00.000
it can't be and therefore we use the word vaccine to describe the intent to augment the immune system
34:01.000 --> 34:05.000
and so what they have done is essentially cast an enchantment
34:06.000 --> 34:17.000
wherein the use of the word vaccine or the characterization of something as a disease implies a certain rubric of faith
34:18.000 --> 34:21.000
if I call it a disease that means there must be a cure
34:22.000 --> 34:25.000
if I call it a disease that means there might be a vaccine
34:25.000 --> 34:30.000
if I call it a disease you need my medicine
34:32.000 --> 34:38.000
now we I think this is a really important point to make even if I'm beating a dead horse here
34:38.000 --> 34:45.000
but it's really it's a it's a distinction that we are allowing them to blur
34:45.000 --> 34:54.000
where actually vaccine and this is how he said it
34:55.000 --> 34:58.000
traditionally vaccines were made of a weakened or a dead virus
34:59.000 --> 35:06.000
and it mimicked the infection well enough so that the
35:07.000 --> 35:20.000
immunity produced by the vaccine was equivalent to or very close to equivalent to protection from exposure to the disease or infection itself
35:21.000 --> 35:29.000
the immune memory that's generated by infection was very similar to the immune memory generated by the live attenuated vaccine
35:30.000 --> 35:34.000
but we can't make a live attenuated vaccine against cancer
35:35.000 --> 35:38.000
we can't make a live attenuated vaccine against a genetic disorder
35:39.000 --> 35:43.000
we can't make a live attenuated vaccine against diabetes
35:45.000 --> 35:51.000
but if we call diabetes a disease now we can you know all diseases have potentially a vaccine
35:52.000 --> 35:57.000
it's just that this disease doesn't produce an adequate immune response
35:57.000 --> 36:06.000
you see he's he's suggesting something based on an assumption that is not biologically proven
36:07.000 --> 36:14.000
that cancer for example is always caused by viruses so because cancer is a disease caused by a pathogen
36:14.000 --> 36:21.000
and you are the host then you need a vaccine to prevent that pathogen from causing disease in you
36:22.000 --> 36:30.000
but it's a surprisingly small number of cancers which are associated directly with causally to a virus
36:33.000 --> 36:42.000
and when we try to make a vaccine against a cancer we're actually trying to point T cell memory at a protein which is unique for the cancer
36:43.000 --> 36:53.000
it's not a failure of the immune system so much as usually a camouflage of the cancer because the cancer is made of self cells
36:54.000 --> 36:56.000
so the immune system can't really see it
36:58.000 --> 37:05.000
so this is a very deceptive language bait and switch that has been going on for decades that they have been working for decades
37:06.000 --> 37:13.000
and it probably all goes all the way back to as far as Robert Gallo and Murray Gardner
37:13.000 --> 37:22.000
and all of these people like David Baltimore who were involved in the early stages of HIV retroviruses
37:22.000 --> 37:28.000
and cancer causing viruses in this whole theory of what viruses do
37:29.000 --> 37:42.000
and so what I'm suggesting to you is that this mythology was purposefully created over many decades
37:43.000 --> 37:50.000
so that the public health exercise that we've been through for the last three years was possible
37:51.000 --> 37:59.000
and they almost, this almost was derailed, it was almost derailed once on 9-11
38:00.000 --> 38:08.000
and you'll have to watch Usatonic Live and look at his long catalogue of this to understand what I'm suggesting here
38:08.000 --> 38:16.000
but it could be that 9-11 was supposed to be a biological attack and somehow or another it ended up to be just a terrorist attack
38:21.000 --> 38:31.000
and anyway the point is that we have been on a long progression, a long plan to controlled demolish America
38:32.000 --> 38:42.000
and I think David Griffin could also tell us a lot about the financial aspects of this controlled demolition of the American system
38:42.000 --> 38:48.000
and the freedom that it represents, the Constitution itself is going to be under assault
38:49.000 --> 38:54.000
once the financial and societal fabric starts to rip
38:55.000 --> 38:59.000
and if we want to address this problem it's going to have to rip
38:59.000 --> 39:04.000
we're going to have to come together as a country in a different way than we are now
39:04.000 --> 39:07.000
and love our neighbors in a way that we are not doing now
39:07.000 --> 39:13.000
in order for America to make it through on the other side as America in some new form
39:14.000 --> 39:18.000
based on truth and justice and the American way
39:19.000 --> 39:21.000
whatever that used to be
39:22.000 --> 39:27.000
so vaccination is a methodology that will work as a methodology, excuse me, that will work on everything
39:27.000 --> 39:29.000
and that's the argument that he's making now
39:30.000 --> 39:40.000
he's making it with the words that he wants to use in order so that we transfer the value of vaccination to as much disease as possible
39:41.000 --> 39:44.000
in fact he is exercising this enchantment of
39:45.000 --> 39:50.000
if I say disease, you say cure, disease, cure, disease, cure
39:50.000 --> 39:55.000
if I say disease, you say vaccine, vaccine, disease, disease, vaccine
39:57.000 --> 39:58.000
it's an enchantment
39:59.000 --> 40:02.000
and he might only be reciting it because he's under this enchantment
40:03.000 --> 40:05.000
but I think that at a certain moment
40:05.000 --> 40:09.000
you as an academic and academic magician
40:09.000 --> 40:15.000
you become smart enough to know that this sales pitch is that what it is, it's a sales pitch
40:15.000 --> 40:19.000
and if you're making a sales pitch about vaccines it's a little different
40:19.000 --> 40:25.000
than making a sales pitch about your little niche research that you know isn't going to save the world
40:25.000 --> 40:30.000
but it's really important for you to study the pigmentation
40:30.000 --> 40:39.000
and chemical steps in the chloroplast function in a particular diatom
40:39.000 --> 40:41.000
and you know that that's not really important
40:41.000 --> 40:45.000
but you talk it really up in your introduction
40:45.000 --> 40:49.000
and when you're interviewing for a faculty job
40:50.000 --> 40:52.000
but that's your passion, that's your biology
40:52.000 --> 40:54.000
and so you exaggerate a little bit
40:54.000 --> 40:56.000
you know these diatoms are found all around the oceans
40:56.000 --> 40:59.000
and they're important in every ecosystem that has salt water
40:59.000 --> 41:04.000
and they're responsible for converting more than you know gigatons of carbon every year
41:04.000 --> 41:07.000
but nobody cares about diatoms
41:09.000 --> 41:11.000
but you're not selling anything
41:11.000 --> 41:15.000
you're not misleading the young into believing something that's not true
41:16.000 --> 41:21.000
you're not contributing to the governance of an entire society by lies
41:21.000 --> 41:23.000
you're just really enthusiastic about your biology
41:23.000 --> 41:28.000
and you want people to understand how important it is to the collective whole
41:30.000 --> 41:34.000
but when you're a biologist who's saying something like this guy saying
41:34.000 --> 41:38.000
you've got to know that this is a sales pitch of BS
41:38.000 --> 41:50.000
that is doing an end around the traditional idea of how a drug or a pharmaceutical is brought to market safely
41:51.000 --> 41:56.000
and that your intention is to inject anything you want intramuscularly
41:56.000 --> 42:01.000
with the intent of augmenting the immune system with no responsibility for when it goes wrong
42:01.000 --> 42:05.000
and you know that the only way that you can get away with doing this
42:05.000 --> 42:09.000
and have a hope of making something of this genetic technology work
42:09.000 --> 42:12.000
is if you get people to allow you to do it
42:16.000 --> 42:20.000
not everybody in this machine knows exactly how bad it is
42:20.000 --> 42:23.000
but everybody in this machine knows exactly that it's bad
42:23.000 --> 42:25.000
that it's lies
42:25.000 --> 42:27.000
that it's gross exaggerations
42:27.000 --> 42:31.000
that there are thousands and billions and millions and billions of dollars
42:31.000 --> 42:33.000
exchanging hands
42:33.000 --> 42:36.000
based on these exaggerations
42:36.000 --> 42:38.000
these oversimplifications
42:40.000 --> 42:42.000
and so he can look into the camera
42:42.000 --> 42:45.000
and with his fancy pink lanyardon with his sudon
42:45.000 --> 42:47.000
with his NIH job
42:47.000 --> 42:50.000
and talk all this stuff with these words
42:50.000 --> 42:52.000
and be as imprecise as he wants to
42:52.000 --> 42:55.000
knowing full well that what he is doing is casting an enchantment
42:55.000 --> 42:59.000
he is enchanting everyone in the future
42:59.000 --> 43:02.000
as part of this illusion of consensus
43:02.000 --> 43:05.000
that these are diseases and all diseases have cures
43:05.000 --> 43:08.000
and the best cures are vaccines
43:08.000 --> 43:12.000
it's a really simple enchantment
43:12.000 --> 43:15.000
all these things are diseases
43:15.000 --> 43:19.000
diseases have cures and cures the best ones we have are vaccines
43:19.000 --> 43:21.000
so I work on vaccines
43:25.000 --> 43:29.000
chronic infections like HIV or hepatitis C for example
43:29.000 --> 43:34.000
and I think more and more strategies are being developed to target those
43:34.000 --> 43:38.000
very similar to the ones I just talked about for cancer vaccines
43:38.000 --> 43:41.000
and I think hopefully within the next 5 to 10 years
43:41.000 --> 43:44.000
we will have vaccines for those diseases
43:44.000 --> 43:47.000
but of course at this point that's hope
43:47.000 --> 43:51.000
that's not nothing guaranteed, not promised
43:51.000 --> 43:53.000
I think one is
43:55.000 --> 43:59.000
and it's very similar to saying that this diagram means nothing
43:59.000 --> 44:04.000
that we can effectively ignore this diagram
44:04.000 --> 44:08.000
just like we can ignore any possible safety signals in
44:08.000 --> 44:10.000
transfection and healthy children
44:10.000 --> 44:13.000
we can ignore this diagram
44:13.000 --> 44:16.000
and we can also ignore these people
44:16.000 --> 44:18.000
right?
44:18.000 --> 44:21.000
we can ignore these people
44:21.000 --> 44:24.000
I have a lot of people that made graphics
44:24.000 --> 44:26.000
designs for the trailer
44:26.000 --> 44:29.000
from all over Canada and Australia
44:29.000 --> 44:31.000
but it was just about junior
44:31.000 --> 44:34.000
I said no this trailer is not about just junior
44:34.000 --> 44:37.000
I said it's about junior and all the vaccine injured
44:37.000 --> 44:40.000
that we have because there's thousands of it
44:40.000 --> 44:43.000
people look at the trailer and they'll tell me
44:43.000 --> 44:45.000
that's a lot of people I said no it's not
44:45.000 --> 44:47.000
that's not even a little bit
44:47.000 --> 44:48.000
I said there's more
44:48.000 --> 44:50.000
I said I would need 18 wheelers
44:50.000 --> 44:52.000
to put everyone's picture on it
44:52.000 --> 44:54.000
that thing is
44:54.000 --> 44:56.000
I don't want to make the pictures too small
44:56.000 --> 44:58.000
I want people to actually be able to see the faces
44:58.000 --> 45:00.000
of each person that's on here
45:00.000 --> 45:02.000
my whole mission now
45:02.000 --> 45:05.000
you know bring awareness to all the families
45:05.000 --> 45:07.000
because I don't want to get any emails
45:07.000 --> 45:09.000
text messages anymore
45:09.000 --> 45:11.000
I get them from all over the world
45:11.000 --> 45:13.000
I don't need to be proud of it
45:13.000 --> 45:15.000
juniorsguardianvoices.com
45:15.000 --> 45:17.000
and juniorsguardianvoices.com
45:17.000 --> 45:19.000
I walked to that side door
45:19.000 --> 45:21.000
I was sitting up in a
45:21.000 --> 45:23.000
it was like a life-size picture
45:23.000 --> 45:25.000
and I started crying because I could almost
45:25.000 --> 45:27.000
feel like I could hug them
45:27.000 --> 45:30.000
and I was thinking I'd be proud of it
45:35.000 --> 45:37.000
if I don't do what I'm doing
45:37.000 --> 45:39.000
I can hear them telling me
45:39.000 --> 45:41.000
you know you need to practice what you preach
45:41.000 --> 45:43.000
so that's why I have to keep doing this
45:43.000 --> 45:45.000
thanks for putting that link in there
45:45.000 --> 45:47.000
well it's about the first year
45:47.000 --> 45:48.000
I was ready to give up
45:48.000 --> 45:50.000
I didn't think I was accomplishing anything
45:50.000 --> 45:52.000
I didn't think it was getting out there
45:52.000 --> 45:55.000
and for some reason I was going through my file box
45:55.000 --> 45:57.000
and I found a father state card
45:57.000 --> 45:59.000
the last of my last father state card
45:59.000 --> 46:02.000
and now I just started crying
46:02.000 --> 46:05.000
for probably about three or four hours on the couch
46:05.000 --> 46:08.000
I figured that was his way of telling me to
46:08.000 --> 46:10.000
don't give up
46:10.000 --> 46:12.000
to keep up fighting
46:12.000 --> 46:14.000
and that's the same one I have on the back of my motorcycle
46:14.000 --> 46:16.000
I figured well
46:16.000 --> 46:18.000
I found it
46:18.000 --> 46:20.000
I got to put it on my bike
46:20.000 --> 46:22.000
to remind me why I'm doing this
46:22.000 --> 46:24.000
he cried when he talked about his son
46:24.000 --> 46:26.000
because you don't lose his son
46:26.000 --> 46:28.000
and stop crying about it
46:28.000 --> 46:30.000
I can cry about it
46:30.000 --> 46:32.000
I don't have a loss to son
46:32.000 --> 46:34.000
I just have them
46:34.000 --> 46:36.000
you only have to have them to know
46:36.000 --> 46:38.000
that this guy might possibly be feeling
46:38.000 --> 46:44.000
and I show this video
46:44.000 --> 46:46.000
not only because I want you to know about his website
46:46.000 --> 46:48.000
but I really want you to see
46:48.000 --> 46:52.000
that this guy is organized around everybody
46:52.000 --> 46:55.000
he wants all these peoples justice
46:55.000 --> 46:57.000
and I think we need to really
46:57.000 --> 46:59.000
start to think this way
46:59.000 --> 47:02.000
that in order for this to work
47:02.000 --> 47:04.000
we've all got to come together
47:04.000 --> 47:06.000
at juniorsguardianvoice.com
47:06.000 --> 47:08.000
then we've got to come together there
47:08.000 --> 47:12.000
but we've got to find ways
47:12.000 --> 47:14.000
to make sure that everybody
47:14.000 --> 47:16.000
who was injured by this
47:16.000 --> 47:18.000
transfection and transformation
47:18.000 --> 47:20.000
roll out
47:20.000 --> 47:22.000
nowhere to report
47:22.000 --> 47:24.000
their injuries and that they do it
47:24.000 --> 47:26.000
that everyone who lost someone
47:26.000 --> 47:28.000
to transfection and transformation
47:28.000 --> 47:30.000
is
47:30.000 --> 47:32.000
bringing these numbers to account
47:32.000 --> 47:34.000
because there are people who probably
47:34.000 --> 47:36.000
need to reflect again
47:36.000 --> 47:38.000
ok when did grandma die
47:38.000 --> 47:40.000
when did she die
47:40.000 --> 47:42.000
and what did they say she died of
47:42.000 --> 47:44.000
there are a lot of people
47:44.000 --> 47:46.000
who haven't asked that question yet
47:46.000 --> 47:48.000
there are a lot of people
47:48.000 --> 47:50.000
who haven't asked that question yet
47:50.000 --> 47:54.000
that had people die in the hospital
47:54.000 --> 47:56.000
who haven't asked that question yet
47:56.000 --> 48:00.000
that might need to ask the protocol question
48:00.000 --> 48:04.000
we've got a lot of work to do ladies and gentlemen
48:04.000 --> 48:06.000
because this illusion of consensus
48:06.000 --> 48:08.000
is not going away
48:08.000 --> 48:10.000
these players are not going away
48:10.000 --> 48:12.000
they won't leave us alone
48:12.000 --> 48:14.000
they're still here
48:14.000 --> 48:16.000
they've still got millions of followers
48:16.000 --> 48:18.000
they've still got substacks
48:18.000 --> 48:20.000
that earn $50,000 a week
48:20.000 --> 48:22.000
they're still doing podcasts
48:22.000 --> 48:24.000
four or five times a day
48:24.000 --> 48:26.000
sometimes
48:26.000 --> 48:28.000
these people are still traveling
48:28.000 --> 48:30.000
the world
48:34.000 --> 48:36.000
and they are still pushing this
48:36.000 --> 48:38.000
DNA idea
48:38.000 --> 48:40.000
we covered a
48:40.000 --> 48:42.000
really important stream
48:42.000 --> 48:44.000
a few days before I quit
48:44.000 --> 48:46.000
it was a Canadian
48:46.000 --> 48:48.000
children's health defense
48:48.000 --> 48:50.000
chapter interviewing
48:50.000 --> 48:52.000
the hero from Canada
48:52.000 --> 48:54.000
Byron brittle
48:54.000 --> 48:56.000
who had his
48:56.000 --> 48:58.000
career basically destroyed
48:58.000 --> 49:00.000
because he found a document
49:00.000 --> 49:02.000
from the Japanese Pfizer
49:02.000 --> 49:04.000
trials showing
49:04.000 --> 49:06.000
or the Japanese
49:06.000 --> 49:08.000
paperwork submitted
49:08.000 --> 49:10.000
by Pfizer
49:10.000 --> 49:12.000
I'm showing that the
49:12.000 --> 49:14.000
the transfection agent
49:14.000 --> 49:16.000
and if you
49:16.000 --> 49:18.000
transfected luciferase in this case
49:18.000 --> 49:20.000
they could see glow-in-the-dark protein
49:20.000 --> 49:22.000
all around the body
49:22.000 --> 49:24.000
and it didn't stay in the muscle
49:24.000 --> 49:26.000
and he reported this very early
49:26.000 --> 49:28.000
and really really really
49:28.000 --> 49:30.000
suffered for it
49:30.000 --> 49:32.000
and two years later
49:32.000 --> 49:34.000
we have the inventor
49:34.000 --> 49:36.000
of the lipid nanoparticle technology
49:36.000 --> 49:38.000
Peter Kullis
49:38.000 --> 49:40.000
giving a celebratory lecture
49:40.000 --> 49:42.000
regarding the garden near prize
49:42.000 --> 49:44.000
in Canada
49:44.000 --> 49:46.000
a sort of pre-noble prize
49:46.000 --> 49:48.000
where he just casually answers questions
49:48.000 --> 49:50.000
at the end where he says
49:50.000 --> 49:52.000
yeah I ruined the career
49:52.000 --> 49:54.000
or burnt out five postdocs
49:54.000 --> 49:56.000
trying to figure out
49:56.000 --> 49:58.000
how to target these lipids
49:58.000 --> 50:00.000
to particular places in the body
50:00.000 --> 50:02.000
and we never succeeded
50:02.000 --> 50:06.000
or at least 20 years away from figuring that out
50:06.000 --> 50:08.000
but of course the one of the
50:08.000 --> 50:10.000
primary assumptions of
50:10.000 --> 50:12.000
the effectiveness of the vaccine
50:12.000 --> 50:14.000
was that it stayed in the muscle
50:14.000 --> 50:16.000
and that the expression
50:16.000 --> 50:18.000
of the spike protein was
50:18.000 --> 50:20.000
extremely temporary
50:20.000 --> 50:22.000
and limited
50:22.000 --> 50:24.000
but we know from their discussions
50:24.000 --> 50:26.000
and their descriptions of their own work
50:26.000 --> 50:28.000
that they optimized it for
50:28.000 --> 50:30.000
maximum lifetime
50:30.000 --> 50:32.000
and maximum protein production
50:36.000 --> 50:38.000
we really really really
50:38.000 --> 50:40.000
need to understand that it's not
50:40.000 --> 50:42.000
a matter of
50:42.000 --> 50:44.000
what's true that counts anymore
50:44.000 --> 50:46.000
but it's a matter of what is perceived to be true
50:46.000 --> 50:48.000
and that these people have been
50:48.000 --> 50:50.000
actively trying to
50:50.000 --> 50:52.000
not let us understand
50:52.000 --> 50:54.000
what is really true
50:54.000 --> 50:56.000
and about the transfection
50:56.000 --> 50:58.000
it must be understood
50:58.000 --> 51:00.000
I think that somebody like
51:00.000 --> 51:02.000
Sukhid Bhakti and I'm sure that my friend
51:02.000 --> 51:04.000
Mike Eden would also agree with me
51:04.000 --> 51:06.000
when I say the transfection
51:06.000 --> 51:08.000
in its purest form
51:08.000 --> 51:10.000
is wholly inappropriate for
51:10.000 --> 51:12.000
healthy humans
51:12.000 --> 51:14.000
in its purest form
51:14.000 --> 51:16.000
the best case scenario
51:16.000 --> 51:18.000
you know the
51:18.000 --> 51:20.000
the coffee artist
51:20.000 --> 51:22.000
cappuccino the best
51:22.000 --> 51:24.000
whatever you got
51:24.000 --> 51:26.000
it's wholly inappropriate for healthy humans
51:26.000 --> 51:28.000
it didn't get any good form
51:28.000 --> 51:30.000
it's not going to be good form
51:30.000 --> 51:32.000
it's definitely not going to be able to augment their immune system
51:32.000 --> 51:34.000
now upscaling
51:34.000 --> 51:36.000
from this beautiful perfect
51:36.000 --> 51:38.000
purest form
51:38.000 --> 51:40.000
of
51:40.000 --> 51:42.000
transfection to
51:42.000 --> 51:44.000
from nanograms to kilograms
51:45.000 --> 51:47.000
introduced a whole host
51:47.000 --> 51:48.000
of
51:48.000 --> 51:50.000
quality control and production problems
51:50.000 --> 51:52.000
that have never been adequately
51:52.000 --> 51:54.000
explored as being conquered
51:54.000 --> 51:56.000
you know have they really solved
51:56.000 --> 51:58.000
all these problems or do they just go
51:58.000 --> 52:00.000
from making one
52:00.000 --> 52:02.000
good
52:02.000 --> 52:04.000
grandma's apple pie
52:04.000 --> 52:06.000
to 10,000 a day
52:06.000 --> 52:08.000
and just tell us that these pies
52:08.000 --> 52:10.000
are as good as the one that your grandma made
52:10.000 --> 52:12.000
because
52:12.000 --> 52:14.000
when your grandma makes a pie it is
52:14.000 --> 52:16.000
the purest form
52:16.000 --> 52:20.000
of transfection and it's a tasty pie
52:20.000 --> 52:22.000
but you can't call that apple pie
52:22.000 --> 52:24.000
a something that you can live on
52:24.000 --> 52:26.000
it's not a nutritious meal
52:26.000 --> 52:28.000
it's a dessert
52:28.000 --> 52:30.000
and so in its purest form
52:30.000 --> 52:32.000
it is not a nourishing meal
52:32.000 --> 52:34.000
it's an apple pie
52:36.000 --> 52:38.000
and if you take grandma's apple pie
52:38.000 --> 52:40.000
and you decide okay we're going to go from making one
52:40.000 --> 52:42.000
to making 10,000 there are a lot of
52:42.000 --> 52:44.000
a
52:44.000 --> 52:46.000
lot of scaling up problems
52:46.000 --> 52:48.000
that you need to conquer
52:48.000 --> 52:50.000
in order to take grandma's perfect pie
52:50.000 --> 52:52.000
and make 10,000 of a
52:52.000 --> 52:54.000
a day every day consistently
52:54.000 --> 52:56.000
and in fact
52:56.000 --> 52:58.000
you can listen to Elon Musk
52:58.000 --> 53:00.000
on Joe Rogan
53:00.000 --> 53:02.000
not too long ago explaining
53:02.000 --> 53:04.000
that making
53:04.000 --> 53:06.000
a prototype of an electric car
53:06.000 --> 53:08.000
is actually ridiculously easy
53:08.000 --> 53:10.000
and the problem is a thousand
53:10.000 --> 53:12.000
times harder is
53:12.000 --> 53:14.000
to scale up production
53:14.000 --> 53:16.000
of the car
53:16.000 --> 53:18.000
occasionally Elon Musk
53:18.000 --> 53:20.000
says things that make sense and are
53:20.000 --> 53:22.000
actually almost above high school level
53:22.000 --> 53:24.000
intelligence and that's
53:24.000 --> 53:26.000
in that entire interview one of the few
53:26.000 --> 53:28.000
intelligent things that he said
53:28.000 --> 53:30.000
that didn't just make him
53:30.000 --> 53:32.000
sound like a clown
53:32.000 --> 53:34.000
he made comments about the pizza
53:34.000 --> 53:36.000
which was pretty good and he explained
53:36.000 --> 53:38.000
that making a prototype electric car
53:38.000 --> 53:40.000
is relatively easy
53:40.000 --> 53:42.000
relative to figuring out how to
53:42.000 --> 53:44.000
produce it
53:44.000 --> 53:46.000
and this scaling up
53:46.000 --> 53:48.000
from making
53:48.000 --> 53:50.000
transfection in its purest form
53:50.000 --> 53:52.000
to making billions of doses
53:52.000 --> 53:54.000
in a given three-year period
53:56.000 --> 53:58.000
has just been glossed over as
53:58.000 --> 54:00.000
yeah sure we did it
54:00.000 --> 54:02.000
no, no you didn't
54:02.000 --> 54:04.000
there's no possible way you did
54:04.000 --> 54:06.000
and that's what Mike Eden brought
54:06.000 --> 54:08.000
to the table very early on
54:08.000 --> 54:10.000
in this discussion
54:10.000 --> 54:12.000
so the R&A had to be impure
54:12.000 --> 54:14.000
it had to be impure
54:14.000 --> 54:16.000
because even when they made it in its purest form
54:16.000 --> 54:18.000
in the small batch
54:18.000 --> 54:20.000
you know
54:20.000 --> 54:22.000
grandma's pie scenario
54:22.000 --> 54:24.000
the R&A
54:24.000 --> 54:26.000
was still pretty
54:26.000 --> 54:28.000
not pure
54:28.000 --> 54:30.000
and now
54:30.000 --> 54:32.000
that they scaled it up using bacteria
54:32.000 --> 54:34.000
now that they scaled it up using a different process
54:34.000 --> 54:36.000
now that they scaled it up from
54:36.000 --> 54:38.000
nanograms to kilograms
54:38.000 --> 54:40.000
there's all kinds of impurities
54:40.000 --> 54:42.000
related to the R&A and unrelated to the R&A
54:42.000 --> 54:44.000
but related to its production
54:48.000 --> 54:50.000
and
54:50.000 --> 54:52.000
let's stay on the transfection itself
54:52.000 --> 54:54.000
the R&A was codon optimized
54:54.000 --> 54:56.000
which has a number of biological implications
54:56.000 --> 54:58.000
for the protein that's produced
54:58.000 --> 55:00.000
number one it won't be the protein
55:00.000 --> 55:02.000
that's produced is because
55:02.000 --> 55:04.000
although the codon optimization
55:04.000 --> 55:06.000
is changing synonymous codons
55:06.000 --> 55:08.000
synonymous codons are not synonymous
55:10.000 --> 55:12.000
and we know this because many
55:12.000 --> 55:14.000
genetic diseases
55:14.000 --> 55:16.000
seem to be
55:16.000 --> 55:18.000
based on silent mutations
55:18.000 --> 55:20.000
in the gene that they are
55:20.000 --> 55:22.000
correlated to
55:24.000 --> 55:26.000
silent mutations aren't supposed to change
55:26.000 --> 55:28.000
the protein but somehow silent
55:28.000 --> 55:32.000
mutations are linked to an awful lot of genetic diseases
55:32.000 --> 55:34.000
and that is likely because
55:34.000 --> 55:36.000
the silent mutations affect the translation
55:36.000 --> 55:38.000
of the protein
55:38.000 --> 55:40.000
the translation from R&A to protein
55:40.000 --> 55:42.000
requires the ribosome to do stuff
55:42.000 --> 55:44.000
that we don't understand
55:44.000 --> 55:46.000
the ribosome is a mystery machine
55:46.000 --> 55:48.000
the real mystery machine
55:48.000 --> 55:50.000
in this Scooby-Doo is the ribosome
55:50.000 --> 55:52.000
and
55:52.000 --> 55:54.000
conquering figuring out how the ribosome
55:54.000 --> 55:56.000
does what it does
55:56.000 --> 55:58.000
and how the variations in ribosomes
55:58.000 --> 56:00.000
change what it does
56:00.000 --> 56:02.000
and how the sequence of the R&A
56:02.000 --> 56:04.000
even with synonymous codons
56:04.000 --> 56:06.000
changes what the R&A does
56:06.000 --> 56:08.000
in the ribosome
56:08.000 --> 56:10.000
is a mystery
56:10.000 --> 56:12.000
and you might think you know what a ribosome
56:12.000 --> 56:14.000
is it's actually not a protein
56:14.000 --> 56:16.000
it's a protein
56:16.000 --> 56:18.000
R&A molecule hybrid
56:18.000 --> 56:20.000
that functionally forms this
56:20.000 --> 56:22.000
enzyme machine thing called a ribosome
56:22.000 --> 56:24.000
it's a pretty complicated thing
56:24.000 --> 56:26.000
that we don't really understand
56:26.000 --> 56:28.000
that much about
56:30.000 --> 56:32.000
and so when we codon optimize
56:32.000 --> 56:34.000
the R&A we don't know exactly what we did
56:34.000 --> 56:36.000
but we definitely changed how the R&A
56:36.000 --> 56:38.000
will translate through any
56:38.000 --> 56:40.000
given ribosome and any given tissue
56:40.000 --> 56:42.000
because
56:42.000 --> 56:44.000
codon optimizing changed
56:44.000 --> 56:46.000
the amino acid
56:46.000 --> 56:48.000
codons that are present
56:48.000 --> 56:50.000
in the viral R&A
56:50.000 --> 56:52.000
so it's not the same spike protein
56:52.000 --> 56:54.000
in addition
56:54.000 --> 56:56.000
because you know there's no
56:56.000 --> 56:58.000
bell prize technology in this stuff
56:58.000 --> 57:00.000
it was chemically altered
57:00.000 --> 57:02.000
and those chemical
57:02.000 --> 57:04.000
alterations can change the way
57:04.000 --> 57:06.000
that the ribosome interacts with the R&A
57:06.000 --> 57:08.000
and it can redesalt
57:08.000 --> 57:10.000
in premature stops
57:10.000 --> 57:12.000
which would shorten the protein
57:12.000 --> 57:14.000
and it can result
57:14.000 --> 57:16.000
in a wobble-based phenomenon
57:16.000 --> 57:18.000
which basically means that the R&A
57:18.000 --> 57:20.000
is not as specific
57:20.000 --> 57:22.000
or a particular codon as it would be
57:22.000 --> 57:24.000
when it has this pseudo-uridine present
57:24.000 --> 57:26.000
it's like a wild card
57:26.000 --> 57:28.000
and so now
57:28.000 --> 57:30.000
the ribosome can make errors of insertion
57:30.000 --> 57:32.000
or errors of
57:32.000 --> 57:34.000
substitution
57:34.000 --> 57:36.000
and those errors
57:36.000 --> 57:38.000
will necessarily have consequences
57:38.000 --> 57:40.000
for the antigenic properties
57:40.000 --> 57:42.000
of the protein
57:42.000 --> 57:44.000
the folding of the protein
57:44.000 --> 57:46.000
and potentially even the toxicity
57:46.000 --> 57:48.000
of it
57:49.000 --> 57:51.000
the worst part is these premature stops
57:51.000 --> 57:53.000
create very small
57:53.000 --> 57:55.000
R&As which small R&As
57:55.000 --> 57:57.000
can have the potential to interfere
57:57.000 --> 57:59.000
with our own endogenous R&As
57:59.000 --> 58:01.000
so there's all kinds of possibilities that are opened up
58:01.000 --> 58:03.000
by the fact that the R&As impure
58:03.000 --> 58:05.000
the R&A was codon optimized
58:05.000 --> 58:07.000
and chemically altered
58:07.000 --> 58:10.000
it results in all this variability
58:10.000 --> 58:12.000
and all of this
58:12.000 --> 58:14.000
extra R&A
58:14.000 --> 58:16.000
and extra R&As not handy
58:16.000 --> 58:19.000
and it's not something that we can be imprecise about
58:19.000 --> 58:21.000
and yet there's no doubt
58:21.000 --> 58:23.000
because of one and two and three
58:23.000 --> 58:26.000
that we are not precise here
58:26.000 --> 58:29.000
so the protein produced is uncharacterized
58:29.000 --> 58:33.000
and highly variable again because of three, four and five
58:33.000 --> 58:36.000
that means that the immune response
58:36.000 --> 58:39.000
that's being generated by this bouquet of variability
58:39.000 --> 58:41.000
is not very predictable either
58:42.000 --> 58:44.000
it's pretty predictable from the standpoint
58:44.000 --> 58:46.000
of when they tell you to check it this way
58:46.000 --> 58:48.000
yeah sure it works
58:48.000 --> 58:50.000
that's like saying you know
58:50.000 --> 58:52.000
did you use the car last night
58:52.000 --> 58:54.000
to your teenage daughter
58:54.000 --> 58:56.000
and she says no I didn't
58:56.000 --> 58:57.000
well what's your proof?
58:57.000 --> 58:59.000
well you know look in the driver's seat
58:59.000 --> 59:02.000
there's no Chick-fil-A
59:02.000 --> 59:05.000
is that proof?
59:06.000 --> 59:08.000
and in this case what we're talking about here
59:08.000 --> 59:11.000
is them saying something like well
59:11.000 --> 59:14.000
you know the spike protein works
59:14.000 --> 59:17.000
I mean when we use our own assay
59:17.000 --> 59:21.000
to test whether there's any spike protein produced by the M R&A
59:21.000 --> 59:24.000
our assay says it works great
59:24.000 --> 59:27.000
well if your daughter's assay
59:27.000 --> 59:29.000
for whether she used the car or not
59:29.000 --> 59:31.000
is the one that's in the car
59:31.000 --> 59:34.000
if your daughter's assay for whether she used the car or not
59:34.000 --> 59:36.000
is the one that you accept
59:36.000 --> 59:39.000
then she can say yeah there's no Chick-fil-A in the front seat
59:39.000 --> 59:41.000
so obviously I didn't use the car
59:41.000 --> 59:43.000
and then you got to go oh I guess you're right
59:43.000 --> 59:44.000
you didn't use the car
59:44.000 --> 59:46.000
well we used our test
59:46.000 --> 59:48.000
to find that spike protein is produced
59:48.000 --> 59:51.000
when we when we transfect cells in a dish
59:51.000 --> 59:53.000
so obviously it works right
59:53.000 --> 59:56.000
it's the same argument
59:56.000 --> 59:58.000
it's the same level of proof
59:59.000 --> 01:00:03.000
and so the LNP was never really tested in humans
01:00:03.000 --> 01:00:05.000
for long or short-term effects
01:00:05.000 --> 01:00:07.000
we just take the word of Peter Cullis
01:00:07.000 --> 01:00:08.000
that it works great
01:00:08.000 --> 01:00:11.000
but we can't really target it anywhere
01:00:11.000 --> 01:00:14.000
endotoxins from process two
01:00:14.000 --> 01:00:16.000
those are the bacteria
01:00:16.000 --> 01:00:18.000
and the remnants of the bacteria
01:00:18.000 --> 01:00:19.000
after they've been lised
01:00:19.000 --> 01:00:21.000
you can't clean that up very well
01:00:21.000 --> 01:00:23.000
and again it's compounded by the fact
01:00:23.000 --> 01:00:25.000
that you're not making small batch
01:00:25.000 --> 01:00:27.000
you're making large batch
01:00:27.000 --> 01:00:29.000
and in that large batch
01:00:29.000 --> 01:00:31.000
it's even harder to get contaminants out
01:00:31.000 --> 01:00:32.000
when you're rushing it out
01:00:32.000 --> 01:00:34.000
when you're bottling
01:00:34.000 --> 01:00:36.000
millions of small vials
01:00:36.000 --> 01:00:38.000
there's all kinds of variability
01:00:38.000 --> 01:00:40.000
potential there again
01:00:40.000 --> 01:00:44.000
these are all compounding problems
01:00:44.000 --> 01:00:47.000
and we still haven't really gotten
01:00:47.000 --> 01:00:49.000
to the double-stranded fragments
01:00:49.000 --> 01:00:51.000
from process one until right now
01:00:51.000 --> 01:00:53.000
at number nine
01:00:53.000 --> 01:00:56.000
and so my argument is
01:00:56.000 --> 01:00:59.000
hopefully I'm not too far from the microphone right now
01:00:59.000 --> 01:01:00.000
but the argument is
01:01:00.000 --> 01:01:02.000
is that number nine
01:01:02.000 --> 01:01:06.000
is one of many many many reasons
01:01:06.000 --> 01:01:08.000
to reject
01:01:08.000 --> 01:01:10.000
transfection in healthy humans
01:01:10.000 --> 01:01:12.000
the first one being
01:01:12.000 --> 01:01:14.000
the transfection in its purest form
01:01:14.000 --> 01:01:17.000
is wholly inappropriate for healthy humans
01:01:17.000 --> 01:01:19.000
and number one
01:01:19.000 --> 01:01:22.000
is the reason why they were criminally negligent
01:01:22.000 --> 01:01:24.000
not number nine
01:01:24.000 --> 01:01:26.000
they are criminally negligent
01:01:26.000 --> 01:01:28.000
because they have known that
01:01:28.000 --> 01:01:30.000
transfection in its purest form
01:01:30.000 --> 01:01:32.000
would be wholly inappropriate for healthy humans
01:01:32.000 --> 01:01:34.000
they have known that upscaling
01:01:34.000 --> 01:01:36.000
from nanograms to kilograms
01:01:36.000 --> 01:01:38.000
was going to be a disaster
01:01:38.000 --> 01:01:40.000
they have known that the RNA was impure
01:01:40.000 --> 01:01:42.000
they have known that the codon optimizing
01:01:42.000 --> 01:01:43.000
would cause variability
01:01:43.000 --> 01:01:44.000
they couldn't predict
01:01:44.000 --> 01:01:46.000
they have known that chemically
01:01:46.000 --> 01:01:48.000
altering this mRNA would cause it to last
01:01:48.000 --> 01:01:50.000
much longer than intended
01:01:50.000 --> 01:01:52.000
and could even produce small fragments of RNA
01:01:52.000 --> 01:01:55.000
that could interfere with our own endogenous transcripts
01:01:55.000 --> 01:01:56.000
they have known
01:01:56.000 --> 01:01:58.000
that the protein is wholly uncharacterized
01:01:58.000 --> 01:02:01.000
as a prodrug and should have definitely been treated as such
01:02:01.000 --> 01:02:03.000
they have known that the LNP
01:02:03.000 --> 01:02:06.000
was not tested adequately in humans
01:02:06.000 --> 01:02:09.000
and so the criminal negligence
01:02:09.000 --> 01:02:11.000
that we need to be targeting
01:02:11.000 --> 01:02:13.000
is not number nine
01:02:13.000 --> 01:02:15.000
and we are being misled
01:02:15.000 --> 01:02:17.000
that number nine is our opening
01:02:17.000 --> 01:02:19.000
number nine is our big window
01:02:19.000 --> 01:02:24.000
or is the spike toxic
01:02:24.000 --> 01:02:25.000
maybe that's our big window
01:02:25.000 --> 01:02:28.000
maybe we should be angry because they chose the wrong protein
01:02:28.000 --> 01:02:31.000
we were being told that for more than a year
01:02:31.000 --> 01:02:36.000
we were being told that the spike is toxic
01:02:36.000 --> 01:02:38.000
and that we chose the wrong protein
01:02:38.000 --> 01:02:40.000
for a year
01:02:40.000 --> 01:02:43.000
and the only reason why we are still not being told
01:02:43.000 --> 01:02:47.000
that very thing is because of giga ohm biological
01:02:47.000 --> 01:02:50.000
that's what I believe
01:02:50.000 --> 01:02:54.000
and so this list is important to understand
01:02:54.000 --> 01:02:57.000
because this is the argument that I want to make
01:02:57.000 --> 01:02:59.000
repeatedly over the next weeks
01:02:59.000 --> 01:03:01.000
until Christmas until the new year
01:03:01.000 --> 01:03:04.000
and I believe
01:03:04.000 --> 01:03:06.000
wittingly or unwittingly
01:03:06.000 --> 01:03:09.000
these people are involved in sustaining that
01:03:09.000 --> 01:03:11.000
they are involved in sustaining this
01:03:11.000 --> 01:03:13.000
imaginary tunnel we're in
01:03:13.000 --> 01:03:15.000
where there was a novel virus
01:03:15.000 --> 01:03:17.000
that killed millions of people
01:03:17.000 --> 01:03:21.000
but thank goodness we saved millions too
01:03:21.000 --> 01:03:23.000
and gain a function obviously is real
01:03:23.000 --> 01:03:25.000
because these people were lying about it
01:03:25.000 --> 01:03:27.000
covering it up by mean man oh man
01:03:27.000 --> 01:03:29.000
it's obvious now
01:03:29.000 --> 01:03:31.000
and so we've got to be careful because the virus
01:03:31.000 --> 01:03:34.000
will definitely come again
01:03:34.000 --> 01:03:37.000
and we cannot let our children
01:03:37.000 --> 01:03:40.000
grow up in this world
01:03:40.000 --> 01:03:43.000
but it is
01:03:43.000 --> 01:03:45.000
keeping the narrative alive
01:03:45.000 --> 01:03:47.000
the show must go on and it's not a matter of what true
01:03:47.000 --> 01:03:49.000
that counts it's a matter of what's perceived to be true
01:03:49.000 --> 01:03:52.000
so these people are still working
01:03:52.000 --> 01:03:54.000
Paul Offitt is still working
01:03:54.000 --> 01:03:56.000
and the Twiv crew is still working
01:03:56.000 --> 01:03:59.000
so I wanted to watch a little bit of Twiv tonight
01:03:59.000 --> 01:04:03.000
because I think it's fun to watch these guys
01:04:03.000 --> 01:04:06.000
and this episode has a number of different papers
01:04:06.000 --> 01:04:08.000
that they cover in it
01:04:08.000 --> 01:04:11.000
but the paper that I wanted to look at
01:04:11.000 --> 01:04:13.000
is an HPV paper
01:04:13.000 --> 01:04:15.000
where they look at viral prevalence
01:04:15.000 --> 01:04:19.000
and they make some argument about the HPV vaccine
01:04:19.000 --> 01:04:21.000
so I will be very honest
01:04:21.000 --> 01:04:25.000
I didn't know a lot about the HPV vaccine
01:04:25.000 --> 01:04:27.000
until I saw Vaxxed too
01:04:27.000 --> 01:04:29.000
and it was actually just in time
01:04:29.000 --> 01:04:31.000
for me not to give it to my children
01:04:31.000 --> 01:04:34.000
the first time that it was offered to my boys
01:04:34.000 --> 01:04:37.000
we were already knew not to say it
01:04:37.000 --> 01:04:39.000
not to take it
01:04:40.000 --> 01:04:44.000
but it is very disturbing to me
01:04:44.000 --> 01:04:48.000
that they are now pushing the HPV vaccine harder than ever
01:04:48.000 --> 01:04:53.000
and these kinds of disingenuous arguments are being made
01:04:53.000 --> 01:04:57.000
and really ridiculous statements like
01:04:57.000 --> 01:05:01.000
HPV vaccines are a great way to prevent cancer
01:05:01.000 --> 01:05:04.000
and this is just not true
01:05:04.000 --> 01:05:07.000
it's not proven, it's not shown, it's not measured
01:05:07.000 --> 01:05:09.000
it's never been observed
01:05:09.000 --> 01:05:13.000
and in the cases where it is purported to be observed
01:05:13.000 --> 01:05:20.000
great mathematical feats of ridiculousness
01:05:20.000 --> 01:05:24.000
are needed in order to create the illusion of a data set
01:05:24.000 --> 01:05:27.000
which gives the signal that they purported gives
01:05:27.000 --> 01:05:30.000
and that's what this Twiv is about
01:05:30.000 --> 01:05:32.000
is about this cell micro paper
01:05:32.000 --> 01:05:35.000
where they say that they looked at
01:05:35.000 --> 01:05:39.000
many different communities in Finland
01:05:39.000 --> 01:05:45.000
a total of 16,000 young people from age 18 to 22
01:05:45.000 --> 01:05:50.000
and they measured the prevalence of several HPV virus
01:05:50.000 --> 01:05:54.000
serotypes in these individuals
01:05:54.000 --> 01:05:57.000
four years and eight years after vaccination
01:05:57.000 --> 01:06:01.000
and purport to compare the vaccination schemes
01:06:01.000 --> 01:06:04.000
across these communities
01:06:04.000 --> 01:06:07.000
and the communities that they say are represented
01:06:07.000 --> 01:06:09.000
are an unvaccinated communities
01:06:09.000 --> 01:06:13.000
communities where the vaccine was targeted to girls
01:06:13.000 --> 01:06:18.000
and communities where the vaccine was targeted to boys and girls
01:06:18.000 --> 01:06:21.000
and using a general linear model
01:06:21.000 --> 01:06:26.000
and some other mathematical techniques to generate synthetic data
01:06:26.000 --> 01:06:31.000
they claim that in the
01:06:31.000 --> 01:06:35.000
populations where they have vaccinated both boys and girls
01:06:35.000 --> 01:06:39.000
they see an effect on the ecology
01:06:39.000 --> 01:06:42.000
of the hepatitis viruses
01:06:42.000 --> 01:06:46.000
that they meet in these adults
01:06:46.000 --> 01:06:49.000
that they are able to record in these adults
01:06:49.000 --> 01:06:53.000
so what we're going to watch is these four
01:06:53.000 --> 01:06:56.000
individuals digest this paper in real time
01:06:56.000 --> 01:06:59.000
they're supposed to have read it, it's supposed to be a journal club
01:06:59.000 --> 01:07:03.000
but in reality when you hear the absolute
01:07:03.000 --> 01:07:09.000
it's only can be described as shameful
01:07:09.000 --> 01:07:12.000
that all three of these people purport to be
01:07:12.000 --> 01:07:17.000
a career academic biologist with decades of experience
01:07:17.000 --> 01:07:21.000
none of these people on the screen are claiming less than
01:07:21.000 --> 01:07:25.000
less experience than me and most of them I would assume
01:07:25.000 --> 01:07:28.000
are claiming more experience than me in virology
01:07:28.000 --> 01:07:31.000
and in biology in general
01:07:31.000 --> 01:07:34.000
so every one of these people should be my academic
01:07:34.000 --> 01:07:37.000
and intellectual elder
01:07:37.000 --> 01:07:40.000
and yet you're going to hear how
01:07:40.000 --> 01:07:43.000
absolutely elementary
01:07:43.000 --> 01:07:47.000
and naive they speak
01:07:47.000 --> 01:07:50.000
of these
01:07:50.000 --> 01:07:53.000
things that are portrayed as certainties by the CDC
01:07:53.000 --> 01:07:57.000
by the FDA, by the WHO, by everyone
01:07:57.000 --> 01:08:00.000
by the entire public health apparatus
01:08:00.000 --> 01:08:03.000
that is responsible for this illusion of consensus
01:08:03.000 --> 01:08:06.000
and they even actually get confused because they realize
01:08:06.000 --> 01:08:08.000
that wow there's a lot of
01:08:08.000 --> 01:08:10.000
there's a lot of hand waving here
01:08:10.000 --> 01:08:13.000
and Vincent tries to pull the
01:08:13.000 --> 01:08:16.000
shoot a little bit and keep them on topic
01:08:16.000 --> 01:08:19.000
but the guy in the upper right is sure not buying it
01:08:19.000 --> 01:08:23.000
and the guy in the lower right really tries to save the day too
01:08:23.000 --> 01:08:26.000
but I mean it's just an exposure like none other
01:08:26.000 --> 01:08:28.000
so let's check this out
01:08:28.000 --> 01:08:30.000
I don't know how long I'm taking here
01:08:30.000 --> 01:08:31.000
I'm probably really already
01:08:31.000 --> 01:08:33.000
hours and hours on
01:08:33.000 --> 01:08:35.000
here we go
01:08:35.000 --> 01:08:38.000
so I starting it at
01:08:38.000 --> 01:08:42.000
2358 because they read some other paper beforehand
01:08:42.000 --> 01:08:44.000
and it's only going to be about 15 minutes
01:08:44.000 --> 01:08:46.000
we're not going to listen to the whole thing
01:08:46.000 --> 01:08:48.000
I'm just going to listen to this paper
01:08:48.000 --> 01:08:51.000
and I'm going to listen at one and a half speed
01:08:51.000 --> 01:08:52.000
and then we'll close it out
01:08:52.000 --> 01:08:54.000
you know because that's how we're going to do it
01:08:54.000 --> 01:08:55.000
we're going to do dailies
01:08:55.000 --> 01:08:56.000
we're going to try and just keep
01:08:56.000 --> 01:08:57.000
singing the same song
01:08:57.000 --> 01:08:58.000
and if you don't like it
01:08:58.000 --> 01:08:59.000
well that's tough
01:08:59.000 --> 01:09:01.000
because the same song needs singing at this point
01:09:01.000 --> 01:09:03.000
we need to keep repeating stuff
01:09:03.000 --> 01:09:05.000
until people get it
01:09:05.000 --> 01:09:07.000
what is behind me?
01:09:07.000 --> 01:09:09.000
there's a wrinkle in my
01:09:09.000 --> 01:09:11.000
in my green screen
01:09:11.000 --> 01:09:13.000
it's making some annoying
01:09:13.000 --> 01:09:15.000
like there we go
01:09:15.000 --> 01:09:17.000
alright that's better
01:09:17.000 --> 01:09:19.000
oh good mistakes
01:09:19.000 --> 01:09:21.000
let's play
01:09:21.000 --> 01:09:24.000
yeah there was only two in the ellipsis
01:09:24.000 --> 01:09:26.000
it was three dots but only two names
01:09:26.000 --> 01:09:27.000
oh I read the main title
01:09:27.000 --> 01:09:28.000
with all the authors
01:09:28.000 --> 01:09:29.000
yeah okay
01:09:29.000 --> 01:09:30.000
one two three four five six seven eight
01:09:30.000 --> 01:09:31.000
yeah okay yeah the ellipsis
01:09:31.000 --> 01:09:32.000
I didn't read that right
01:09:32.000 --> 01:09:34.000
okay human papillomavirus
01:09:34.000 --> 01:09:35.000
now these are DNA viruses
01:09:35.000 --> 01:09:37.000
oh wait what did I say?
01:09:37.000 --> 01:09:39.000
human icosahedral capsid
01:09:39.000 --> 01:09:41.000
okay so here you go you can already see
01:09:41.000 --> 01:09:43.000
where I'm just not
01:09:43.000 --> 01:09:45.000
human papillomavirus is HPV vaccine
01:09:45.000 --> 01:09:47.000
I apologize what was I saying
01:09:47.000 --> 01:09:48.000
hepatitis like that's crazy
01:09:48.000 --> 01:09:50.000
that's the one they give at birth
01:09:50.000 --> 01:09:52.000
and they give it other types too
01:09:52.000 --> 01:09:54.000
so I apologize already for that ball drop
01:09:54.000 --> 01:09:56.000
HPV is human papillomavirus
01:09:56.000 --> 01:09:58.000
and those are the viruses
01:09:58.000 --> 01:10:00.000
that are blamed for cervical cancer
01:10:00.000 --> 01:10:01.000
and uterine cancer
01:10:01.000 --> 01:10:03.000
and all kinds of other genital cancers
01:10:03.000 --> 01:10:05.000
and so that's what we're talking about here
01:10:05.000 --> 01:10:07.000
and it's a niche
01:10:07.000 --> 01:10:08.000
for cervical cancer
01:10:08.000 --> 01:10:10.000
which is just ridiculous right
01:10:10.000 --> 01:10:12.000
for a number of biological reasons
01:10:12.000 --> 01:10:14.000
it's imprecise use of language
01:10:14.000 --> 01:10:16.000
that's really burning me up lately
01:10:16.000 --> 01:10:18.000
but it's it's burning me up
01:10:18.000 --> 01:10:19.000
because it's become obvious
01:10:19.000 --> 01:10:21.000
that that's not only what drove me nuts
01:10:21.000 --> 01:10:23.000
when I was in academic biology
01:10:23.000 --> 01:10:25.000
as a neurobiologist
01:10:25.000 --> 01:10:27.000
but it's what really drives me nuts
01:10:27.000 --> 01:10:29.000
about how we've moved through this pandemic
01:10:29.000 --> 01:10:31.000
it's with imprecise language
01:10:31.000 --> 01:10:34.000
it is making things stupid complicated
01:10:34.000 --> 01:10:36.000
or dumb simple when it's inappropriate
01:10:36.000 --> 01:10:38.000
to the point where people
01:10:38.000 --> 01:10:40.000
are completely bamboozled
01:10:40.000 --> 01:10:41.000
they're misled
01:10:41.000 --> 01:10:44.000
and they think they understand something
01:10:44.000 --> 01:10:46.000
that has been made dumb
01:10:46.000 --> 01:10:48.000
simple or stupid complicated
01:10:48.000 --> 01:10:50.000
and they don't
01:10:50.000 --> 01:10:53.000
and these people are going to
01:10:53.000 --> 01:10:56.000
inadvertently or unwittingly admit
01:10:56.000 --> 01:10:58.000
that they don't understand this either
01:10:58.000 --> 01:11:00.000
and it's sad
01:11:00.000 --> 01:11:02.000
because you can see them struggle
01:11:02.000 --> 01:11:03.000
through the mud
01:11:03.000 --> 01:11:05.000
like wow I really don't get it
01:11:05.000 --> 01:11:06.000
I mean it doesn't make sense
01:11:06.000 --> 01:11:07.000
but I guess we've got to accept it
01:11:07.000 --> 01:11:08.000
because we're a virologist
01:11:08.000 --> 01:11:10.000
and this is a virology paper
01:11:10.000 --> 01:11:12.000
brains and they are
01:11:12.000 --> 01:11:13.000
there are lots of them
01:11:13.000 --> 01:11:14.000
there are many different types
01:11:14.000 --> 01:11:17.000
and many of them are associated
01:11:17.000 --> 01:11:19.000
with producing warts
01:11:19.000 --> 01:11:20.000
and humans
01:11:20.000 --> 01:11:21.000
for human papilloma viruses
01:11:21.000 --> 01:11:23.000
of course are rabbit papilloma viruses as well
01:11:23.000 --> 01:11:25.000
but in humans some of the types
01:11:25.000 --> 01:11:26.000
are associated with cancers
01:11:26.000 --> 01:11:28.000
such as cervical cancer, anal cancer,
01:11:28.000 --> 01:11:29.000
vaginal cancer, vulvar cancer
01:11:29.000 --> 01:11:31.000
and also oral pharyngeal cancer
01:11:31.000 --> 01:11:32.000
and a number of years ago
01:11:32.000 --> 01:11:34.000
vaccines were developed
01:11:34.000 --> 01:11:36.000
to specifically prevent these cancers
01:11:36.000 --> 01:11:38.000
and they're very good at doing that
01:11:38.000 --> 01:11:40.000
they're interesting vaccines
01:11:40.000 --> 01:11:42.000
because they're virus-like particles
01:11:42.000 --> 01:11:44.000
there's a genome in them
01:11:44.000 --> 01:11:46.000
the main capsid protein is produced in
01:11:46.000 --> 01:11:48.000
like yeast or insect cells
01:11:48.000 --> 01:11:49.000
it assembles into a particle
01:11:49.000 --> 01:11:50.000
it's mixed with an adjuvant
01:11:50.000 --> 01:11:52.000
and they're very good at preventing cancers
01:11:52.000 --> 01:11:54.000
so they've been widely adopted
01:11:54.000 --> 01:11:56.000
and of course the best time to give them
01:11:56.000 --> 01:11:58.000
is before people become sexually active
01:11:58.000 --> 01:11:59.000
so you don't acquire these viruses naturally
01:11:59.000 --> 01:12:00.000
which is when they become a problem
01:12:00.000 --> 01:12:02.000
so you can prevent disease by vaccinating
01:12:02.000 --> 01:12:04.000
so it's weird because he says
01:12:04.000 --> 01:12:07.000
that you prevent disease by vaccinating
01:12:07.000 --> 01:12:09.000
and it's better to vaccinate people younger
01:12:09.000 --> 01:12:11.000
because you acquire these viruses
01:12:11.000 --> 01:12:13.000
through sexual activity
01:12:13.000 --> 01:12:19.000
so the idea is apparently
01:12:19.000 --> 01:12:21.000
that you don't have any of these viruses
01:12:21.000 --> 01:12:23.000
until you start sleeping with people
01:12:23.000 --> 01:12:25.000
but where do those people get them?
01:12:25.000 --> 01:12:29.000
basically already the biology is off the rails
01:12:29.000 --> 01:12:31.000
basically he's already telling you
01:12:31.000 --> 01:12:32.000
in a minimal mythology story
01:12:32.000 --> 01:12:34.000
that has no basis in reality
01:12:34.000 --> 01:12:36.000
and you can just dissect it
01:12:36.000 --> 01:12:39.000
with common sense
01:12:44.000 --> 01:12:46.000
and it's extraordinary really
01:12:46.000 --> 01:12:48.000
how accepted
01:12:48.000 --> 01:12:50.000
and accepting
01:12:50.000 --> 01:12:52.000
the three of these people are
01:12:52.000 --> 01:12:54.000
as he says these ridiculous things
01:12:54.000 --> 01:12:57.000
that they're really good at preventing cancer
01:12:57.000 --> 01:12:59.000
and that giving them early
01:12:59.000 --> 01:13:01.000
is the way they work the best
01:13:01.000 --> 01:13:03.000
because you get these viruses
01:13:03.000 --> 01:13:04.000
through sexual activity
01:13:04.000 --> 01:13:07.000
so we have to give the vaccine
01:13:07.000 --> 01:13:09.000
before the sexual activity starts
01:13:09.000 --> 01:13:13.000
I mean how these things are connected
01:13:13.000 --> 01:13:15.000
in his mind is just
01:13:15.000 --> 01:13:18.000
it's bewildering to me
01:13:18.000 --> 01:13:21.000
that they can even speak these words out loud
01:13:21.000 --> 01:13:24.000
and not be disgusted with themselves
01:13:24.000 --> 01:13:27.000
because you have to know that these are lies
01:13:27.000 --> 01:13:29.000
you have to know that these are gross
01:13:29.000 --> 01:13:33.000
oversimplifications of something that we obviously know
01:13:33.000 --> 01:13:36.000
is a lot more complicated than this
01:13:36.000 --> 01:13:39.000
so there are lots and lots of stereotypes of these
01:13:39.000 --> 01:13:41.000
but it's only a few of them
01:13:41.000 --> 01:13:43.000
that account for the overwhelming majority
01:13:43.000 --> 01:13:45.000
essentially all of the cancers
01:13:45.000 --> 01:13:47.000
and that's 16 and 18
01:13:47.000 --> 01:13:49.000
HPV 16 and HPV 18
01:13:49.000 --> 01:13:51.000
are the targets of the vaccine that they're looking at here
01:13:51.000 --> 01:13:53.000
31 and 45, too
01:13:53.000 --> 01:13:54.000
31 and 40
01:13:54.000 --> 01:13:55.000
oops 31 and 45, too
01:13:55.000 --> 01:13:57.000
so I guess I don't know what I'm talking about at all
01:13:57.000 --> 01:13:59.000
but I read the paper and I'm really smart
01:13:59.000 --> 01:14:01.000
5, too, that's right
01:14:01.000 --> 01:14:03.000
and the question I have is with all those types
01:14:03.000 --> 01:14:05.000
does this vaccine come?
01:14:05.000 --> 01:14:07.000
There's also a
01:14:07.000 --> 01:14:09.000
9-valent
01:14:09.000 --> 01:14:11.000
vaccine, Gardasil 9
01:14:11.000 --> 01:14:13.000
in the paper
01:14:13.000 --> 01:14:15.000
so really we're looking at
01:14:15.000 --> 01:14:17.000
4 academic scientists
01:14:17.000 --> 01:14:19.000
with their own podcast that's already funded
01:14:19.000 --> 01:14:21.000
that has a studio
01:14:21.000 --> 01:14:23.000
and staff in Manhattan
01:14:23.000 --> 01:14:25.000
that's on their thousandth episode
01:14:25.000 --> 01:14:28.000
and they still don't have the basic biology
01:14:28.000 --> 01:14:30.000
of human papilloma virus
01:14:30.000 --> 01:14:32.000
one of the most successful
01:14:32.000 --> 01:14:34.000
and successful products
01:14:34.000 --> 01:14:36.000
of the Merck company
01:14:36.000 --> 01:14:38.000
they have no idea
01:14:38.000 --> 01:14:40.000
they have no concept
01:14:40.000 --> 01:14:42.000
they don't feel any obligation
01:14:42.000 --> 01:14:44.000
and any responsibility to be
01:14:44.000 --> 01:14:46.000
informed about it
01:14:46.000 --> 01:14:48.000
even as they hope that they get a million views
01:14:48.000 --> 01:14:50.000
even as they think
01:14:50.000 --> 01:14:52.000
that they are working with Earth's
01:14:52.000 --> 01:14:54.000
virology teacher
01:14:54.000 --> 01:14:56.000
understand how
01:14:56.000 --> 01:14:58.000
despicable this is
01:14:58.000 --> 01:15:00.000
no
01:15:00.000 --> 01:15:02.000
31 and 45, too
01:15:02.000 --> 01:15:04.000
31 and 45, too
01:15:04.000 --> 01:15:06.000
that's right
01:15:06.000 --> 01:15:08.000
the question I have is with all those types
01:15:08.000 --> 01:15:10.000
does this vaccine cover all them as well?
01:15:10.000 --> 01:15:12.000
no
01:15:12.000 --> 01:15:14.000
if you get the vaccine
01:15:14.000 --> 01:15:16.000
are you susceptible still to the ones
01:15:16.000 --> 01:15:18.000
that they didn't include into the vaccine?
01:15:18.000 --> 01:15:20.000
yes
01:15:20.000 --> 01:15:22.000
and there's not 100 serotypes
01:15:22.000 --> 01:15:24.000
there are more than 200 serotypes
01:15:24.000 --> 01:15:26.000
of the human papilloma virus
01:15:28.000 --> 01:15:30.000
and the best vaccine
01:15:30.000 --> 01:15:32.000
Gardasil 9
01:15:32.000 --> 01:15:34.000
purports to target
01:15:34.000 --> 01:15:36.000
9 of those serotypes
01:15:38.000 --> 01:15:40.000
now if you're not aware
01:15:40.000 --> 01:15:42.000
about how a niche works
01:15:42.000 --> 01:15:44.000
a niche is for a single species
01:15:44.000 --> 01:15:48.000
and species compete to occupy a niche
01:15:48.000 --> 01:15:50.000
if two species
01:15:50.000 --> 01:15:52.000
can occupy the same niche
01:15:52.000 --> 01:15:56.000
it's not really a niche anymore
01:15:56.000 --> 01:15:58.000
and yet we're going to
01:15:58.000 --> 01:16:00.000
argue and discuss
01:16:00.000 --> 01:16:02.000
the use of these terms
01:16:02.000 --> 01:16:04.000
and whether or not it's appropriate for
01:16:04.000 --> 01:16:06.000
something that's actually not even alive
01:16:06.000 --> 01:16:08.000
that's actually doesn't have
01:16:08.000 --> 01:16:10.000
species but has a quasi-species
01:16:10.000 --> 01:16:12.000
swarm
01:16:12.000 --> 01:16:14.000
and that can generate new variants
01:16:14.000 --> 01:16:16.000
through recombination
01:16:16.000 --> 01:16:18.000
and generates new variants
01:16:18.000 --> 01:16:22.000
through consistent replication errors
01:16:22.000 --> 01:16:24.000
they are
01:16:24.000 --> 01:16:28.000
completely off their skis here
01:16:28.000 --> 01:16:30.000
and careening
01:16:30.000 --> 01:16:32.000
into a ditch
01:16:32.000 --> 01:16:34.000
and the only thing that they can do
01:16:34.000 --> 01:16:36.000
is do it as gracefully as possible
01:16:36.000 --> 01:16:38.000
in hopes that the vast majority
01:16:38.000 --> 01:16:40.000
of their viewers
01:16:40.000 --> 01:16:42.000
are unsophisticated enough
01:16:42.000 --> 01:16:44.000
to see the train wreck
01:16:44.000 --> 01:16:46.000
for what it is
01:16:46.000 --> 01:16:48.000
the one that really has trouble
01:16:48.000 --> 01:16:50.000
with it is Alan Dove
01:16:50.000 --> 01:16:52.000
down here in the bottom
01:16:52.000 --> 01:16:54.000
he's really having glitch outs
01:16:54.000 --> 01:16:56.000
you know like I've got to argue
01:16:56.000 --> 01:16:58.000
for the mythology
01:16:58.000 --> 01:17:00.000
that I believe in
01:17:00.000 --> 01:17:02.000
even though the guy above me here
01:17:02.000 --> 01:17:04.000
is really really
01:17:04.000 --> 01:17:06.000
hitting home runs
01:17:06.000 --> 01:17:08.000
I've got to make fun of this old man
01:17:08.000 --> 01:17:10.000
we're going to all collectively make fun of this old man
01:17:10.000 --> 01:17:12.000
so that in the end
01:17:12.000 --> 01:17:14.000
the illusion of consensus
01:17:14.000 --> 01:17:16.000
will be sustained
01:17:16.000 --> 01:17:18.000
watch this train wreck
01:17:18.000 --> 01:17:20.000
but they've included in the vaccines
01:17:20.000 --> 01:17:22.000
the highest risk types right
01:17:22.000 --> 01:17:24.000
so you know
01:17:24.000 --> 01:17:26.000
as was mentioned actually
01:17:26.000 --> 01:17:28.000
included into the vaccine
01:17:28.000 --> 01:17:30.000
if you get the vaccine are you susceptible
01:17:30.000 --> 01:17:32.000
still to the ones that they didn't include
01:17:32.000 --> 01:17:34.000
into the vaccine? Yes
01:17:34.000 --> 01:17:36.000
but they've included in the vaccines
01:17:36.000 --> 01:17:38.000
the highest risk types right
01:17:38.000 --> 01:17:40.000
so you know as was mentioned
01:17:40.000 --> 01:17:42.000
actually so there's a nine-valent
01:17:42.000 --> 01:17:44.000
HPV vaccine which has the most different types
01:17:44.000 --> 01:17:46.000
it covers 611, 16, 18, 33,
01:17:46.000 --> 01:17:48.000
45, 52 and 58
01:17:48.000 --> 01:17:50.000
right so it's been updated over the years the original was 16 and 18
01:17:50.000 --> 01:17:52.000
which are the big really bad ones and then they've
01:17:52.000 --> 01:17:54.000
kind of punched down the list
01:17:54.000 --> 01:17:56.000
getting more and more and this nine-valent
01:17:56.000 --> 01:17:58.000
I guess is the latest iteration that
01:17:58.000 --> 01:18:00.000
why is he even talking
01:18:00.000 --> 01:18:02.000
five minutes ago he said that this
01:18:02.000 --> 01:18:04.000
this vaccine that they're talking about
01:18:04.000 --> 01:18:06.000
in this paper targeted two
01:18:06.000 --> 01:18:08.000
of the 200 plus
01:18:08.000 --> 01:18:10.000
zero-zero types
01:18:10.000 --> 01:18:12.000
then
01:18:12.000 --> 01:18:14.000
the lady over here corrects him and says
01:18:14.000 --> 01:18:16.000
no there's two more
01:18:16.000 --> 01:18:18.000
and finally we say well yeah there's also
01:18:18.000 --> 01:18:20.000
a nine-valent one
01:18:20.000 --> 01:18:22.000
and then he pipes in and says
01:18:22.000 --> 01:18:24.000
oh yeah well yeah this is the way it is
01:18:24.000 --> 01:18:28.000
because that's how these people have a discussion
01:18:28.000 --> 01:18:32.000
that's how they think discussion
01:18:32.000 --> 01:18:34.000
goes
01:18:34.000 --> 01:18:36.000
is some kind of
01:18:36.000 --> 01:18:40.000
agreement festival
01:18:40.000 --> 01:18:42.000
oh yes you're right I agree with you and repeat
01:18:42.000 --> 01:18:44.000
what they said
01:18:44.000 --> 01:18:46.000
that's not discussion
01:18:46.000 --> 01:18:48.000
that's not science happening
01:18:48.000 --> 01:18:50.000
this isn't a guy who's on his game
01:18:50.000 --> 01:18:54.000
this is a guy who's posing
01:18:54.000 --> 01:18:56.000
there's no other way to see it
01:18:56.000 --> 01:18:58.000
he should be ashamed of himself
01:18:58.000 --> 01:19:00.000
that he should have said wow I
01:19:00.000 --> 01:19:04.000
didn't realize this because I just started by saying there's only two
01:19:04.000 --> 01:19:06.000
targeted
01:19:06.000 --> 01:19:08.000
I mean
01:19:08.000 --> 01:19:10.000
how is it even possible
01:19:10.000 --> 01:19:12.000
that people take this seriously
01:19:12.000 --> 01:19:14.000
other than the fact that we have been
01:19:14.000 --> 01:19:16.000
misled for decades
01:19:16.000 --> 01:19:20.000
it's the only way to explain it
01:19:20.000 --> 01:19:22.000
um that takes out
01:19:22.000 --> 01:19:24.000
or generates antibodies against a larger panel
01:19:24.000 --> 01:19:26.000
so Vincent would you
01:19:26.000 --> 01:19:28.000
summarize that what is the goal of this research
01:19:28.000 --> 01:19:30.000
so he made another assumption there
01:19:30.000 --> 01:19:32.000
he said that this
01:19:32.000 --> 01:19:34.000
listen he says that this
01:19:34.000 --> 01:19:36.000
and this nine-valent I guess is the latest iteration
01:19:36.000 --> 01:19:38.000
that takes out or generates
01:19:38.000 --> 01:19:40.000
antibodies against a larger panel
01:19:40.000 --> 01:19:42.000
so he's just thinking out loud
01:19:42.000 --> 01:19:44.000
that I guess they have this nine-valent
01:19:44.000 --> 01:19:46.000
one that makes up
01:19:46.000 --> 01:19:48.000
antibodies against a larger panel
01:19:48.000 --> 01:19:52.000
now that I just heard
01:19:52.000 --> 01:19:54.000
that there is a Gardasil-9
01:19:54.000 --> 01:19:56.000
I guess the way that it must work
01:19:56.000 --> 01:19:58.000
is that it targets a whole panel of viruses
01:19:58.000 --> 01:20:00.000
you know
01:20:00.000 --> 01:20:02.000
five minutes ago I thought that there was just
01:20:02.000 --> 01:20:04.000
Gardasil-2 but I guess there's
01:20:04.000 --> 01:20:06.000
Gardasil-9 so cool wow
01:20:06.000 --> 01:20:08.000
it's like learning in real time
01:20:08.000 --> 01:20:10.000
I feel really smart now
01:20:14.000 --> 01:20:16.000
we're talking about
01:20:16.000 --> 01:20:18.000
vaccinating teenage girls
01:20:18.000 --> 01:20:20.000
that don't need to be vaccinated
01:20:20.000 --> 01:20:22.000
that are
01:20:22.000 --> 01:20:24.000
we're talking about injecting
01:20:24.000 --> 01:20:26.000
a combination of substances
01:20:26.000 --> 01:20:28.000
intramuscularly
01:20:28.000 --> 01:20:30.000
to augment the immune system
01:20:30.000 --> 01:20:32.000
of healthy young teenage girls
01:20:32.000 --> 01:20:36.000
and boys
01:20:36.000 --> 01:20:38.000
to protect them from viruses
01:20:38.000 --> 01:20:40.000
that have more than
01:20:40.000 --> 01:20:42.000
200 seroprevalent type
01:20:42.000 --> 01:20:44.000
serotypes
01:20:44.000 --> 01:20:46.000
more than 200
01:20:46.000 --> 01:20:48.000
serotypes we are attempting
01:20:48.000 --> 01:20:50.000
to
01:20:50.000 --> 01:20:52.000
augment the immune system
01:20:52.000 --> 01:20:54.000
of healthy teenagers
01:20:54.000 --> 01:20:56.000
and
01:20:56.000 --> 01:20:58.000
the amount of responsibility
01:20:58.000 --> 01:21:00.000
that
01:21:00.000 --> 01:21:02.000
professor Dove feels
01:21:02.000 --> 01:21:04.000
to all those teenagers
01:21:04.000 --> 01:21:06.000
is that he was
01:21:06.000 --> 01:21:08.000
vaguely aware that there was
01:21:08.000 --> 01:21:10.000
a human papillomavirus vaccine
01:21:10.000 --> 01:21:12.000
that was dual valent
01:21:12.000 --> 01:21:14.000
trivalent is there a quadrivalent
01:21:14.000 --> 01:21:16.000
one oh there's a nine valent
01:21:16.000 --> 01:21:18.000
one wow that's
01:21:18.000 --> 01:21:20.000
that's impressive I guess that one develops immunity
01:21:20.000 --> 01:21:22.000
against a whole panel
01:21:22.000 --> 01:21:24.000
of human papillomaviruses
01:21:24.000 --> 01:21:26.000
boy technology's
01:21:26.000 --> 01:21:28.000
amazing isn't it Dr. Dove
01:21:30.000 --> 01:21:32.000
Alan Dove
01:21:33.000 --> 01:21:35.000
wow I mean I'm just shocked
01:21:36.000 --> 01:21:38.000
Vincent would you summarize then
01:21:38.000 --> 01:21:40.000
what is the goal of this research?
01:21:40.000 --> 01:21:42.000
Oh the goal is a viral ecology
01:21:42.000 --> 01:21:44.000
yeah I'm a little confused about
01:21:44.000 --> 01:21:46.000
well right so if you vaccinate against
01:21:46.000 --> 01:21:48.000
a few serotypes
01:21:48.000 --> 01:21:50.000
there are all these other serotypes circulating around
01:21:50.000 --> 01:21:52.000
and that happens to the ecology of this virus
01:21:52.000 --> 01:21:54.000
now that you've
01:21:54.000 --> 01:21:56.000
well if your vaccination is successful
01:21:56.000 --> 01:21:58.000
you hope to take those serotypes out of the equation
01:21:58.000 --> 01:22:00.000
maybe eradicate them in quotes
01:22:00.000 --> 01:22:02.000
at least from local population
01:22:02.000 --> 01:22:04.000
and then do the other viruses
01:22:04.000 --> 01:22:06.000
change their proportions in the population
01:22:06.000 --> 01:22:08.000
but remember what
01:22:08.000 --> 01:22:10.000
what we started with right
01:22:10.000 --> 01:22:12.000
Vincent said that you give this
01:22:12.000 --> 01:22:14.000
this vaccine to kids before
01:22:14.000 --> 01:22:16.000
they get the virus
01:22:16.000 --> 01:22:18.000
one representation of HPV vaccine
01:22:18.000 --> 01:22:20.000
is that you give it to them
01:22:20.000 --> 01:22:22.000
so that they don't get these
01:22:22.000 --> 01:22:24.000
these dangerous
01:22:24.000 --> 01:22:26.000
human papillomaviruses
01:22:26.000 --> 01:22:28.000
from their sexual activities
01:22:28.000 --> 01:22:30.000
and they don't spread them
01:22:30.000 --> 01:22:32.000
so the argument is going to be
01:22:32.000 --> 01:22:34.000
that the ones that they do have
01:22:34.000 --> 01:22:36.000
after vaccination
01:22:36.000 --> 01:22:38.000
obviously are safer
01:22:40.000 --> 01:22:42.000
but in this paper they don't look at
01:22:42.000 --> 01:22:44.000
cancer
01:22:44.000 --> 01:22:46.000
they don't even look at
01:22:46.000 --> 01:22:48.000
like warts
01:22:48.000 --> 01:22:50.000
or anything
01:22:50.000 --> 01:22:52.000
they look for PCR evidence
01:22:52.000 --> 01:22:54.000
of different
01:22:54.000 --> 01:22:56.000
serotypes
01:22:56.000 --> 01:22:58.000
of human papillomavirus
01:22:58.000 --> 01:23:00.000
and do they look for all of them
01:23:00.000 --> 01:23:02.000
they can't
01:23:02.000 --> 01:23:04.000
they can't
01:23:04.000 --> 01:23:08.000
they don't have that level of fidelity
01:23:10.000 --> 01:23:12.000
and they don't have that level of
01:23:12.000 --> 01:23:14.000
of data
01:23:14.000 --> 01:23:16.000
they don't have that level of vaccination
01:23:16.000 --> 01:23:18.000
that coverage of vaccination
01:23:18.000 --> 01:23:20.000
and so they need to use
01:23:20.000 --> 01:23:22.000
very special
01:23:22.000 --> 01:23:24.000
general linear models
01:23:24.000 --> 01:23:26.000
and
01:23:26.000 --> 01:23:29.000
apply mathematical simulations
01:23:29.000 --> 01:23:31.000
in order to create synthetic data
01:23:33.000 --> 01:23:35.000
and in that synthetic data
01:23:35.000 --> 01:23:37.000
they say that they can find a difference
01:23:37.000 --> 01:23:39.000
between populations that have been
01:23:39.000 --> 01:23:41.000
unvaccinated versus vaccinated
01:23:41.000 --> 01:23:43.000
and girls only versus vaccinated
01:23:43.000 --> 01:23:45.000
and boys and girls
01:23:50.000 --> 01:23:52.000
do you get more of those other
01:23:52.000 --> 01:23:54.000
relatively benign serotypes showing up
01:23:54.000 --> 01:23:55.000
or does everybody stay the same?
01:23:55.000 --> 01:23:57.000
you just get a total reduction in the amount of HPV
01:23:57.000 --> 01:23:59.000
Well I'm not sure a college is the right word
01:23:59.000 --> 01:24:00.000
though that's what I'm driving
01:24:00.000 --> 01:24:01.000
The reason they call it ecology
01:24:01.000 --> 01:24:03.000
is because it's the niche concept
01:24:03.000 --> 01:24:05.000
the right word that's what I'm driving
01:24:05.000 --> 01:24:06.000
The reason they call
01:24:06.000 --> 01:24:08.000
a total reduction in the amount of HPV
01:24:08.000 --> 01:24:10.000
Well I'm not sure a college is the right word
01:24:10.000 --> 01:24:12.000
It is says Alan Dove
01:24:12.000 --> 01:24:14.000
it is
01:24:14.000 --> 01:24:16.000
it's the right word
01:24:16.000 --> 01:24:18.000
says the guy who says he read the paper
01:24:18.000 --> 01:24:20.000
but didn't realize there were three vaccines
01:24:20.000 --> 01:24:22.000
being used in the paper
01:24:22.000 --> 01:24:24.000
didn't even bother to look
01:24:24.000 --> 01:24:26.000
or find out or notice
01:24:28.000 --> 01:24:30.000
never mind to think about
01:24:30.000 --> 01:24:32.000
what would the difference between the immune response
01:24:32.000 --> 01:24:34.000
of somebody who has
01:24:34.000 --> 01:24:36.000
immunized with one versus the other
01:24:36.000 --> 01:24:40.000
would one be more dangerous or less dangerous
01:24:40.000 --> 01:24:42.000
more immunogenic or less
01:24:42.000 --> 01:24:46.000
would one provoke a more specific response than the other
01:24:46.000 --> 01:24:51.000
does that have any impact on the ecology that he so sure is there?
01:24:51.000 --> 01:24:54.000
Listen to the guy in the upper right
01:24:54.000 --> 01:24:56.000
continue to not really understand
01:24:56.000 --> 01:24:58.000
why these people are being so
01:24:58.000 --> 01:25:01.000
imprecise with their language
01:25:01.000 --> 01:25:05.000
why they think it's okay to be so imprecise about
01:25:05.000 --> 01:25:07.000
their language
01:25:07.000 --> 01:25:09.000
He's not happy with it
01:25:09.000 --> 01:25:11.000
but he goes along with it because of the illusion of consensus
01:25:11.000 --> 01:25:13.000
that gets created by these kinds of discussions
01:25:13.000 --> 01:25:15.000
The reason they call it ecology
01:25:15.000 --> 01:25:17.000
is because there's the niche concept
01:25:17.000 --> 01:25:19.000
there's a specific niche that a virus occupies
01:25:19.000 --> 01:25:21.000
and if you take that virus from the niche
01:25:21.000 --> 01:25:23.000
something else will come in and occupy
01:25:23.000 --> 01:25:25.000
that's an ecological concept
01:25:25.000 --> 01:25:27.000
It is but it's
01:25:27.000 --> 01:25:29.000
I don't like the use of the term
01:25:29.000 --> 01:25:33.000
I don't because you're really looking at the rates of acquisition of these viruses
01:25:33.000 --> 01:25:35.000
the rate of acquisition
01:25:35.000 --> 01:25:37.000
you see he's going back to the cartoon premise
01:25:37.000 --> 01:25:39.000
that was set at the beginning of this discussion
01:25:39.000 --> 01:25:41.000
which is already lost
01:25:41.000 --> 01:25:43.000
because of the
01:25:43.000 --> 01:25:45.000
bumbling
01:25:45.000 --> 01:25:47.000
of these people
01:25:47.000 --> 01:25:49.000
but he's on it
01:25:49.000 --> 01:25:51.000
the guy in the upper right is on it
01:25:51.000 --> 01:25:53.000
we could review it right now
01:25:53.000 --> 01:25:55.000
let's go back Vincent
01:25:55.000 --> 01:25:57.000
what did you say this is? This is a
01:25:57.000 --> 01:25:59.000
this is a vaccine
01:25:59.000 --> 01:26:01.000
that is supposed to prevent the acquisition
01:26:01.000 --> 01:26:03.000
of human papilloma viruses
01:26:03.000 --> 01:26:05.000
during sexual activity
01:26:05.000 --> 01:26:07.000
and so it makes sense
01:26:07.000 --> 01:26:09.000
they're great at preventing cancer
01:26:09.000 --> 01:26:11.000
Vincent says
01:26:11.000 --> 01:26:13.000
and we should apply them to kids young
01:26:13.000 --> 01:26:15.000
before they acquire
01:26:15.000 --> 01:26:19.000
the viruses through sexual activity
01:26:19.000 --> 01:26:21.000
so as
01:26:21.000 --> 01:26:25.000
follows from that very obvious premise
01:26:25.000 --> 01:26:27.000
the guy up here in the upper right
01:26:27.000 --> 01:26:29.000
is arguing that well
01:26:29.000 --> 01:26:31.000
then we're looking at the rate of acquisition
01:26:31.000 --> 01:26:33.000
of these viruses
01:26:33.000 --> 01:26:35.000
that's the exact words he used
01:26:35.000 --> 01:26:37.000
the rate of acquisition
01:26:37.000 --> 01:26:39.000
we're starting from zero
01:26:39.000 --> 01:26:41.000
and we're acquiring viruses
01:26:41.000 --> 01:26:43.000
by being sexually active
01:26:43.000 --> 01:26:47.000
that's the cartoon premise
01:26:47.000 --> 01:26:49.000
and that is the cartoon premise
01:26:49.000 --> 01:26:51.000
under which we are supposedly
01:26:51.000 --> 01:26:53.000
vaccinating our teenage children
01:26:53.000 --> 01:26:57.000
and so inadvertently
01:26:57.000 --> 01:26:59.000
unwittingly this guy is actually
01:26:59.000 --> 01:27:01.000
questioning that premise right now
01:27:01.000 --> 01:27:03.000
and this guy is responding
01:27:03.000 --> 01:27:05.000
in a very typical
01:27:05.000 --> 01:27:07.000
skilled tv watcher way
01:27:07.000 --> 01:27:09.000
he's laughing at him
01:27:11.000 --> 01:27:13.000
he's making fun
01:27:13.000 --> 01:27:15.000
you don't like the term
01:27:15.000 --> 01:27:17.000
you don't like the term ecology
01:27:17.000 --> 01:27:19.000
you don't like the term niche
01:27:19.000 --> 01:27:21.000
are we being too imprecise for you
01:27:21.000 --> 01:27:25.000
it's wicked these ways
01:27:25.000 --> 01:27:27.000
ladies and gentlemen
01:27:27.000 --> 01:27:29.000
it is wicked these many ways
01:27:29.000 --> 01:27:31.000
that they haven't chanted us
01:27:31.000 --> 01:27:33.000
and there are many
01:27:33.000 --> 01:27:35.000
unwitting participants like this
01:27:35.000 --> 01:27:37.000
Alan Dove character down here
01:27:37.000 --> 01:27:39.000
who just loves to hear his own voice
01:27:39.000 --> 01:27:41.000
but actually doesn't know very much
01:27:41.000 --> 01:27:43.000
as is obvious every time he speaks
01:27:43.000 --> 01:27:45.000
he gets really excited
01:27:45.000 --> 01:27:47.000
when he thinks he's about to
01:27:47.000 --> 01:27:49.000
restate something
01:27:49.000 --> 01:27:51.000
that he sure is true
01:27:51.000 --> 01:27:53.000
almost like a guy who gets to run
01:27:53.000 --> 01:27:55.000
in a touchdown from one yard away
01:27:55.000 --> 01:27:57.000
it's really fun
01:27:57.000 --> 01:27:59.000
but it's also kind of not
01:27:59.000 --> 01:28:01.000
challenging if the line does their
01:28:01.000 --> 01:28:03.000
job and so he's always
01:28:03.000 --> 01:28:05.000
really excited in these discussions
01:28:05.000 --> 01:28:07.000
when they explain something
01:28:07.000 --> 01:28:09.000
and then he gets to
01:28:09.000 --> 01:28:11.000
explain it again because he
01:28:11.000 --> 01:28:13.000
thinks he understands it exactly like
01:28:13.000 --> 01:28:15.000
he did with the with the nine
01:28:15.000 --> 01:28:17.000
valent vaccine thing oh yeah they have
01:28:17.000 --> 01:28:19.000
a nine valent when I guess that means
01:28:19.000 --> 01:28:21.000
that it produces an immune response
01:28:21.000 --> 01:28:23.000
against a whole panel of viruses
01:28:25.000 --> 01:28:27.000
so here now he takes the role
01:28:27.000 --> 01:28:29.000
of condescension
01:28:29.000 --> 01:28:31.000
and says yeah you don't like the term
01:28:31.000 --> 01:28:33.000
well it's definitely the right term
01:28:33.000 --> 01:28:35.000
you don't like the term
01:28:35.000 --> 01:28:37.000
listen
01:28:37.000 --> 01:28:39.000
has this discussion spirals
01:28:39.000 --> 01:28:41.000
into full-on skepticism
01:28:41.000 --> 01:28:44.000
and Vincent is forced to just
01:28:44.000 --> 01:28:46.000
drag it out of the water
01:28:46.000 --> 01:28:48.000
you're going to exclude
01:28:48.000 --> 01:28:50.000
all of these others with a vaccine
01:28:50.000 --> 01:28:52.000
and then do the others there you're not
01:28:52.000 --> 01:28:54.000
vaccinating against do they come up as a result
01:28:54.000 --> 01:28:56.000
does the rate increase or does it not increase
01:28:56.000 --> 01:28:58.000
if we eradicated qlex pippians
01:28:58.000 --> 01:29:00.000
would other mosquitoes
01:29:00.000 --> 01:29:02.000
come into the niche that it occupies
01:29:02.000 --> 01:29:04.000
and you know become more prevalent than they are
01:29:04.000 --> 01:29:06.000
see he again
01:29:06.000 --> 01:29:08.000
completely admits that he doesn't
01:29:08.000 --> 01:29:10.000
understand the biological concept
01:29:10.000 --> 01:29:12.000
that he's arguing about
01:29:12.000 --> 01:29:14.000
if we get rid of a particular mosquito
01:29:14.000 --> 01:29:16.000
will other mosquitoes come in
01:29:16.000 --> 01:29:18.000
that's not exactly the same
01:29:18.000 --> 01:29:20.000
as sexually acquired human papillomavirus
01:29:22.000 --> 01:29:24.000
is it no
01:29:24.000 --> 01:29:26.000
and the niche that's occupied
01:29:26.000 --> 01:29:28.000
apparently by human papillomavirus
01:29:28.000 --> 01:29:30.000
it's not the same
01:29:34.000 --> 01:29:36.000
because a mosquito occupying a niche
01:29:36.000 --> 01:29:38.000
is a
01:29:38.000 --> 01:29:40.000
is an ecosystem
01:29:40.000 --> 01:29:42.000
it is a species
01:29:42.000 --> 01:29:44.000
it is predators
01:29:44.000 --> 01:29:46.000
and prey
01:29:46.000 --> 01:29:48.000
it's reproduction
01:29:48.000 --> 01:29:50.000
it's weather
01:29:50.000 --> 01:29:52.000
it's seasons
01:29:52.000 --> 01:29:54.000
it's an ecosystem
01:29:54.000 --> 01:29:56.000
according to the cartoon
01:29:56.000 --> 01:29:58.000
narrative of human papillomavirus
01:29:58.000 --> 01:30:00.000
human papillomavirus is something
01:30:00.000 --> 01:30:02.000
that you acquire when you become sexually active
01:30:02.000 --> 01:30:04.000
one way to avoid human papillomavirus
01:30:04.000 --> 01:30:06.000
would be not to be sexually active
01:30:06.000 --> 01:30:08.000
one way to avoid mosquitoes
01:30:08.000 --> 01:30:10.000
I guess is to go not go outside
01:30:10.000 --> 01:30:12.000
but we are not talking about
01:30:12.000 --> 01:30:14.000
apples and apples here
01:30:14.000 --> 01:30:16.000
and Alan Dove
01:30:16.000 --> 01:30:18.000
doesn't seem to get it yet
01:30:18.000 --> 01:30:20.000
and he's super confident
01:30:20.000 --> 01:30:22.000
that he's right because he's explaining it
01:30:22.000 --> 01:30:24.000
with this checkmate
01:30:24.000 --> 01:30:26.000
sort of
01:30:26.000 --> 01:30:28.000
if we got rid of one mosquito
01:30:28.000 --> 01:30:30.000
would another mosquito come in and do it
01:30:30.000 --> 01:30:32.000
please tell me that we get some
01:30:32.000 --> 01:30:34.000
comeback on this
01:30:34.000 --> 01:30:36.000
no no no I got that part
01:30:36.000 --> 01:30:38.000
that's an ecological question right?
01:30:38.000 --> 01:30:40.000
it is but I'm just
01:30:40.000 --> 01:30:42.000
could have simplified this a little bit by just saying
01:30:42.000 --> 01:30:44.000
does the rate of infection with the others go up
01:30:44.000 --> 01:30:46.000
in those that haven't been vaccinated
01:30:46.000 --> 01:30:48.000
because the ones that have been vaccinated
01:30:48.000 --> 01:30:50.000
have kept down the rate of infection
01:30:50.000 --> 01:30:52.000
with that particular species
01:30:52.000 --> 01:30:54.000
I mean one of the most important things
01:30:54.000 --> 01:30:56.000
I'm trying to drive home which I'm not doing a very good job of
01:30:56.000 --> 01:30:58.000
is that the biology of
01:30:58.000 --> 01:31:00.000
viruses
01:31:00.000 --> 01:31:02.000
is to a large extent
01:31:02.000 --> 01:31:04.000
a mythology
01:31:04.000 --> 01:31:06.000
and it is a mythology
01:31:06.000 --> 01:31:08.000
based on the false equivalence
01:31:08.000 --> 01:31:10.000
between replicating
01:31:10.000 --> 01:31:12.000
reproducing evolving species
01:31:12.000 --> 01:31:14.000
like a mosquito
01:31:14.000 --> 01:31:18.000
and an RNA signal
01:31:18.000 --> 01:31:20.000
an RNA noise
01:31:20.000 --> 01:31:22.000
an RNA phantom
01:31:22.000 --> 01:31:26.000
an RNA phenomenon
01:31:26.000 --> 01:31:30.000
and in this case a DNA phenomenon
01:31:30.000 --> 01:31:32.000
a genetic noise
01:31:32.000 --> 01:31:34.000
a genetic signal
01:31:34.000 --> 01:31:36.000
a genetic something
01:31:36.000 --> 01:31:38.000
that is not equivalent to a species
01:31:38.000 --> 01:31:40.000
which replicates and evolves
01:31:40.000 --> 01:31:42.000
and reproduces
01:31:42.000 --> 01:31:44.000
and is subject to selective pressures
01:31:44.000 --> 01:31:46.000
and predatory and prey relationships
01:31:46.000 --> 01:31:48.000
and the weather etc
01:31:48.000 --> 01:31:50.000
that false equivalence
01:31:50.000 --> 01:31:54.000
and this transfer of
01:31:54.000 --> 01:31:56.000
all of these biological ideas
01:31:56.000 --> 01:31:58.000
to the phenomenon
01:31:58.000 --> 01:32:02.000
DNA viruses is a false equivalence
01:32:02.000 --> 01:32:04.000
which has resulted in
01:32:04.000 --> 01:32:06.000
much confusion
01:32:06.000 --> 01:32:10.000
about the potential for viruses to evolve
01:32:10.000 --> 01:32:12.000
to sustain themselves
01:32:12.000 --> 01:32:14.000
to occupy niches
01:32:14.000 --> 01:32:16.000
all of these things
01:32:16.000 --> 01:32:18.000
are designed to bamboozle you
01:32:18.000 --> 01:32:21.000
into believing that many of the biological principles
01:32:21.000 --> 01:32:24.000
that we've come to understand our world with
01:32:24.000 --> 01:32:26.000
are applicable to these
01:32:26.000 --> 01:32:28.000
small phenomenon
01:32:28.000 --> 01:32:30.000
of RNA and DNA
01:32:30.000 --> 01:32:32.000
and they are not
01:32:32.000 --> 01:32:34.000
because we have a whole
01:32:34.000 --> 01:32:36.000
other set of biological ideas
01:32:36.000 --> 01:32:38.000
which describe
01:32:38.000 --> 01:32:40.000
the principles governing
01:32:40.000 --> 01:32:42.000
the behavior of RNA
01:32:42.000 --> 01:32:44.000
and DNA in the wild
01:32:46.000 --> 01:32:48.000
we understand how DNA is exchanged
01:32:48.000 --> 01:32:50.000
between bacteria
01:32:50.000 --> 01:32:52.000
we understand how DNA is exchanged
01:32:52.000 --> 01:32:54.000
using viruses between the roots
01:32:54.000 --> 01:32:56.000
of cell roots of plants
01:32:56.000 --> 01:32:58.000
and the fungi that grow around them
01:32:58.000 --> 01:33:00.000
we understand that
01:33:00.000 --> 01:33:02.000
the different layers
01:33:02.000 --> 01:33:04.000
of the phytoplankton
01:33:04.000 --> 01:33:06.000
in the ocean
01:33:06.000 --> 01:33:08.000
communicate and change
01:33:08.000 --> 01:33:10.000
metabolically by communicating
01:33:10.000 --> 01:33:12.000
with viruses
01:33:12.000 --> 01:33:14.000
we understand that most of our tissues
01:33:14.000 --> 01:33:16.000
communicate with viruses
01:33:16.000 --> 01:33:18.000
that are just exosomes
01:33:18.000 --> 01:33:20.000
and we understand
01:33:20.000 --> 01:33:22.000
that the replication
01:33:22.000 --> 01:33:24.000
of DNA and RNA is limited
01:33:24.000 --> 01:33:26.000
by the enzymes that are used
01:33:26.000 --> 01:33:28.000
in the context in which it occurs
01:33:30.000 --> 01:33:32.000
and these limitations
01:33:32.000 --> 01:33:34.000
prevent
01:33:34.000 --> 01:33:37.000
RNA and DNA viruses
01:33:37.000 --> 01:33:40.000
from reaching the level of biological phenomenon
01:33:40.000 --> 01:33:42.000
where terms like niche
01:33:42.000 --> 01:33:44.000
and ecosystem are appropriate
01:33:48.000 --> 01:33:50.000
that's what we're dealing with here
01:33:50.000 --> 01:33:52.000
and here we have
01:33:52.000 --> 01:33:54.000
Alan Dove so casually arguing
01:33:54.000 --> 01:33:56.000
that all of these things apply
01:33:56.000 --> 01:33:58.000
to all of these other things
01:33:58.000 --> 01:34:00.000
and they just don't
01:34:00.000 --> 01:34:02.000
and that guy up there
01:34:02.000 --> 01:34:04.000
at the top right seems to understand
01:34:04.000 --> 01:34:06.000
that there is a little bit of a contradiction
01:34:06.000 --> 01:34:08.000
and a little bit of
01:34:08.000 --> 01:34:10.000
of incongruence when you start
01:34:10.000 --> 01:34:12.000
to take these
01:34:12.000 --> 01:34:14.000
these macro-biological ideas
01:34:14.000 --> 01:34:16.000
and apply them to a very limited system
01:34:16.000 --> 01:34:18.000
like RNA or DNA viruses
01:34:18.000 --> 01:34:22.000
I would argue with your use of the word
01:34:22.000 --> 01:34:24.000
rate I think they're looking at the levels
01:34:24.000 --> 01:34:26.000
of the virus
01:34:26.000 --> 01:34:28.000
they're not looking at rates of infection
01:34:28.000 --> 01:34:30.000
they're looking at levels of the virus
01:34:30.000 --> 01:34:32.000
incidence and prevalence
01:34:32.000 --> 01:34:34.000
yeah it's right it's not a rate it's just
01:34:34.000 --> 01:34:36.000
incidence right in prevalence yeah okay so
01:34:36.000 --> 01:34:38.000
okay so incidents in prevalence
01:34:38.000 --> 01:34:40.000
and we're not looking at cancer
01:34:40.000 --> 01:34:42.000
and we're looking at incidents in prevalence
01:34:42.000 --> 01:34:44.000
without the benefit of having the
01:34:44.000 --> 01:34:46.000
incidents in prevalence before vaccination
01:34:46.000 --> 01:34:50.000
again under this cartoon assumption
01:34:50.000 --> 01:34:52.000
that there are no signals
01:34:52.000 --> 01:34:54.000
before you have sex
01:34:54.000 --> 01:34:56.000
and acquire these signals
01:34:58.000 --> 01:35:00.000
and so their entire paper in cell micro
01:35:00.000 --> 01:35:02.000
was based on a no data set
01:35:02.000 --> 01:35:04.000
at start
01:35:04.000 --> 01:35:06.000
at which is vaccination
01:35:06.000 --> 01:35:08.000
or no vaccination and then
01:35:08.000 --> 01:35:10.000
four years later they take their first
01:35:10.000 --> 01:35:12.000
measurement of the ecology
01:35:12.000 --> 01:35:14.000
of the human papilloma virus
01:35:14.000 --> 01:35:16.000
in those people
01:35:16.000 --> 01:35:18.000
they have no baseline
01:35:18.000 --> 01:35:20.000
they just assume
01:35:20.000 --> 01:35:22.000
like he did in the introduction
01:35:22.000 --> 01:35:24.000
to the paper that kids don't have
01:35:24.000 --> 01:35:26.000
these viruses
01:35:26.000 --> 01:35:28.000
and if we vaccinate them early enough
01:35:28.000 --> 01:35:30.000
we can stop their acquisition
01:35:30.000 --> 01:35:32.000
of these viruses because that's how vaccines work
01:35:36.000 --> 01:35:38.000
this is the illusion
01:35:38.000 --> 01:35:40.000
this is the mythology right here
01:35:40.000 --> 01:35:42.000
in front of you this is the way
01:35:42.000 --> 01:35:44.000
this is all they got
01:35:44.000 --> 01:35:46.000
and they want to vaccinate
01:35:46.000 --> 01:35:48.000
millions of people
01:35:48.000 --> 01:35:50.000
and millions of people
01:35:50.000 --> 01:35:52.000
millions of girls
01:35:52.000 --> 01:35:54.000
teenage girls
01:35:54.000 --> 01:35:56.000
around the world in Africa
01:35:56.000 --> 01:35:58.000
India America everywhere
01:35:58.000 --> 01:36:00.000
that will take it
01:36:00.000 --> 01:36:02.000
based on this flimsy
01:36:02.000 --> 01:36:04.000
type of discussion where
01:36:04.000 --> 01:36:06.000
four people apparently can read
01:36:06.000 --> 01:36:08.000
a paper and barely even get past the
01:36:08.000 --> 01:36:10.000
abstract because they're so biased
01:36:10.000 --> 01:36:12.000
and so bamboozled
01:36:12.000 --> 01:36:14.000
that they just think that
01:36:14.000 --> 01:36:16.000
disease means
01:36:16.000 --> 01:36:18.000
cure and cure is the best one
01:36:18.000 --> 01:36:20.000
is a vaccine
01:36:20.000 --> 01:36:22.000
I mean that's the foundation of their understanding
01:36:22.000 --> 01:36:24.000
of everything around them
01:36:24.000 --> 01:36:26.000
the way they put it here
01:36:26.000 --> 01:36:28.000
and if you look in the discussion
01:36:28.000 --> 01:36:30.000
they say the rationale
01:36:30.000 --> 01:36:34.000
for the study is that the vaccine
01:36:34.000 --> 01:36:36.000
reduces the number of susceptible hosts
01:36:36.000 --> 01:36:38.000
or the virus is targeted
01:36:38.000 --> 01:36:40.000
by the vaccine or
01:36:40.000 --> 01:36:42.000
would it favor escape
01:36:42.000 --> 01:36:44.000
which is the case for influenza virus
01:36:44.000 --> 01:36:46.000
that happens for HPV
01:36:46.000 --> 01:36:48.000
the idea of
01:36:48.000 --> 01:36:50.000
so escape mutants
01:36:50.000 --> 01:36:52.000
for COVID and for flu just slip that in
01:36:52.000 --> 01:36:54.000
there you know escape mutants
01:36:54.000 --> 01:36:56.000
viruses that are not targeted by the vaccine
01:36:56.000 --> 01:36:58.000
or would it favor escape
01:36:58.000 --> 01:37:00.000
which is the case for influenza virus
01:37:00.000 --> 01:37:02.000
that already is another mythology
01:37:02.000 --> 01:37:04.000
right because how would you
01:37:04.000 --> 01:37:06.000
and I differentiate
01:37:07.000 --> 01:37:09.000
let's look at the HPV example
01:37:09.000 --> 01:37:12.000
human papilloma virus has more than
01:37:12.000 --> 01:37:14.000
200 serotypes
01:37:14.000 --> 01:37:16.000
many of them are rare
01:37:16.000 --> 01:37:18.000
many of them haven't really been associated
01:37:18.000 --> 01:37:20.000
with cancer that we know of but how
01:37:20.000 --> 01:37:22.000
really have we investigated if many of them
01:37:22.000 --> 01:37:24.000
are spread all over the place
01:37:24.000 --> 01:37:26.000
geographically in space and time
01:37:26.000 --> 01:37:30.000
and so we vaccinate against a few of them
01:37:30.000 --> 01:37:32.000
we claim that it has some effect on cancer
01:37:32.000 --> 01:37:34.000
but we have no data for it
01:37:34.000 --> 01:37:38.000
and these people are now having
01:37:38.000 --> 01:37:42.000
creating an illusion of consensus that these things
01:37:42.000 --> 01:37:44.000
are obviously useful
01:37:44.000 --> 01:37:46.000
and that what we envision that we see in
01:37:46.000 --> 01:37:48.000
this paper is evidence of their usefulness
01:37:48.000 --> 01:37:50.000
but the evidence in this paper is
01:37:50.000 --> 01:37:52.000
synthetic data
01:37:52.000 --> 01:37:54.000
generating used a combination of
01:37:54.000 --> 01:37:56.000
mathematical techniques
01:37:56.000 --> 01:37:58.000
derived from the original data set
01:37:58.000 --> 01:38:00.000
which doesn't even have a baseline
01:38:00.000 --> 01:38:02.000
they did not measure HPV
01:38:02.000 --> 01:38:04.000
prevalence and serotypes
01:38:04.000 --> 01:38:06.000
in these children
01:38:06.000 --> 01:38:10.000
at vaccination
01:38:10.000 --> 01:38:12.000
but they tell the story here that they obviously
01:38:12.000 --> 01:38:14.000
they didn't have any before they started
01:38:14.000 --> 01:38:16.000
having sex that would be crazy
01:38:16.000 --> 01:38:18.000
these are sexually transmitted viruses
01:38:18.000 --> 01:38:22.000
what a magnificently huge assumption
01:38:22.000 --> 01:38:26.000
it's very convenient
01:38:26.000 --> 01:38:28.000
for the vaccine maker
01:38:28.000 --> 01:38:30.000
very convenient that these guys don't ever
01:38:30.000 --> 01:38:34.000
even notice it
01:38:34.000 --> 01:38:36.000
like how can they not notice it if
01:38:36.000 --> 01:38:38.000
there's no baseline
01:38:38.000 --> 01:38:40.000
like what kind of study was this
01:38:44.000 --> 01:38:46.000
that happens for HPV
01:38:46.000 --> 01:38:48.000
but the idea of reducing the
01:38:48.000 --> 01:38:50.000
number of susceptible hosts
01:38:50.000 --> 01:38:52.000
may increase the likelihood of type replacement
01:38:52.000 --> 01:38:54.000
which is what they call it
01:38:54.000 --> 01:38:56.000
the paper before this though
01:38:56.000 --> 01:38:58.000
even the use of hosts
01:38:58.000 --> 01:39:02.000
susceptible hosts
01:39:02.000 --> 01:39:06.000
reducing the number of susceptible hosts
01:39:06.000 --> 01:39:08.000
implies parasite
01:39:08.000 --> 01:39:12.000
implies parasite
01:39:12.000 --> 01:39:16.000
is a virus a parasite
01:39:16.000 --> 01:39:18.000
should we think of it as a parasite
01:39:18.000 --> 01:39:20.000
or is that a biological term
01:39:20.000 --> 01:39:22.000
that's inappropriate to use for
01:39:22.000 --> 01:39:26.000
an RNA or DNA phenomena
01:39:26.000 --> 01:39:28.000
I would argue that it's part of this
01:39:28.000 --> 01:39:30.000
semantic war
01:39:30.000 --> 01:39:34.000
that's obfuscating
01:39:34.000 --> 01:39:36.000
the limitations
01:39:36.000 --> 01:39:38.000
of RNA and DNA
01:39:38.000 --> 01:39:40.000
virology
01:39:40.000 --> 01:39:42.000
and perpetuating
01:39:42.000 --> 01:39:44.000
this mythology that
01:39:44.000 --> 01:39:46.000
pandemics are possible
01:39:46.000 --> 01:39:48.000
that public health is necessary
01:39:48.000 --> 01:39:52.000
that vaccines are essential
01:39:52.000 --> 01:39:55.000
and slowly but surely
01:39:55.000 --> 01:39:57.000
old guys and young guys
01:39:57.000 --> 01:39:59.000
and old ladies and young ladies
01:39:59.000 --> 01:40:01.000
are going to have to realize in their own
01:40:01.000 --> 01:40:03.000
time and in their own way
01:40:03.000 --> 01:40:05.000
that this is
01:40:05.000 --> 01:40:07.000
a lie
01:40:07.000 --> 01:40:09.000
maybe this guy's learning it
01:40:09.000 --> 01:40:11.000
slowly but surely right now
01:40:11.000 --> 01:40:13.000
it will die still just confused
01:40:13.000 --> 01:40:15.000
I think a lot of people are
01:40:15.000 --> 01:40:17.000
going to die just confused
01:40:17.000 --> 01:40:19.000
clearly stated that there were some geographic
01:40:19.000 --> 01:40:21.000
differences in distribution of the SARS virus
01:40:21.000 --> 01:40:23.000
rather geographic distribution
01:40:23.000 --> 01:40:25.000
differences with these SARS types
01:40:25.000 --> 01:40:27.000
that's a good question
01:40:27.000 --> 01:40:29.000
if there's none there to begin with
01:40:29.000 --> 01:40:31.000
and you've cut out all of the ones
01:40:31.000 --> 01:40:33.000
that you're worried about causing cancer
01:40:33.000 --> 01:40:35.000
then nothing is going to come in to replace it
01:40:35.000 --> 01:40:37.000
because it's not there
01:40:37.000 --> 01:40:39.000
this particular study is in Sweden
01:40:39.000 --> 01:40:41.000
so they're not looking at a global
01:40:41.000 --> 01:40:43.000
perspective there
01:40:43.000 --> 01:40:45.000
but it's an interesting question
01:40:45.000 --> 01:40:47.000
do you see a different pattern elsewhere
01:40:47.000 --> 01:40:49.000
okay I'm sorry to
01:40:49.000 --> 01:40:51.000
I'm sorry
01:40:51.000 --> 01:40:53.000
people will allow it for this
01:40:53.000 --> 01:40:55.000
I'm not sure I can't
01:40:55.000 --> 01:40:57.000
so what are you doing this paper as they look at
01:40:57.000 --> 01:40:59.000
community level occurrence of different types
01:40:59.000 --> 01:41:01.000
up to eight years after vaccination
01:41:01.000 --> 01:41:03.000
either in girls only or gender neutral
01:41:03.000 --> 01:41:05.000
so one or the other
01:41:05.000 --> 01:41:07.000
right so they actually have three different
01:41:07.000 --> 01:41:09.000
communities that they're looking at there
01:41:09.000 --> 01:41:11.000
some that didn't have vaccination campaign
01:41:11.000 --> 01:41:13.000
some that targeted girls specifically
01:41:13.000 --> 01:41:15.000
because it's a very effective way to control the virus
01:41:15.000 --> 01:41:17.000
or at least it should be and then others that were
01:41:17.000 --> 01:41:19.000
gender neutral boys and girls got vaccinated
01:41:19.000 --> 01:41:21.000
and we should say there has been previous evidence that
01:41:21.000 --> 01:41:23.000
vaccination is changing the
01:41:23.000 --> 01:41:25.000
the prevalence of genotypes
01:41:25.000 --> 01:41:27.000
right there these the ones targeted by the vaccines
01:41:27.000 --> 01:41:29.000
are going down and
01:41:29.000 --> 01:41:31.000
so the question is are the others that are not targeted
01:41:31.000 --> 01:41:33.000
going up or are they staying the same?
01:41:33.000 --> 01:41:35.000
that's what they're addressing
01:41:35.000 --> 01:41:37.000
so none of these
01:41:37.000 --> 01:41:39.000
the conclusions that he just listed
01:41:39.000 --> 01:41:41.000
were actually reached using the data
01:41:41.000 --> 01:41:43.000
and the data in this paper
01:41:43.000 --> 01:41:45.000
were unable to say any of those things
01:41:45.000 --> 01:41:47.000
but the combination
01:41:47.000 --> 01:41:49.000
of a
01:41:49.000 --> 01:41:51.000
linear modeling and a
01:41:51.000 --> 01:41:53.000
what is it?
01:41:53.000 --> 01:41:55.000
graphical something
01:41:55.000 --> 01:41:57.000
something network
01:41:57.000 --> 01:41:59.000
two different types of
01:41:59.000 --> 01:42:01.000
math were used to
01:42:01.000 --> 01:42:03.000
synthetically generate
01:42:03.000 --> 01:42:05.000
finally to comprehensive
01:42:05.000 --> 01:42:07.000
evaluate the community level
01:42:07.000 --> 01:42:09.000
HPV type diversity
01:42:09.000 --> 01:42:11.000
distribution between the trial arms
01:42:11.000 --> 01:42:13.000
we applied
01:42:13.000 --> 01:42:15.000
gen modeling
01:42:15.000 --> 01:42:17.000
for the observed HPV type prevalence data
01:42:17.000 --> 01:42:19.000
and generated a synthetic data set
01:42:19.000 --> 01:42:21.000
from each original community
01:42:21.000 --> 01:42:23.000
randomized trial arm
01:42:23.000 --> 01:42:25.000
first the gen model
01:42:25.000 --> 01:42:27.000
was fitted to each
01:42:27.000 --> 01:42:29.000
observed trial arm HPV type
01:42:29.000 --> 01:42:31.000
distribution over time
01:42:31.000 --> 01:42:33.000
from which a synthetic
01:42:33.000 --> 01:42:35.000
HPV type prevalence distribution
01:42:35.000 --> 01:42:37.000
for 100,000 individuals
01:42:37.000 --> 01:42:39.000
was simulated
01:42:39.000 --> 01:42:43.000
for each arm and time point
01:42:43.000 --> 01:42:45.000
for community level alpha
01:42:45.000 --> 01:42:47.000
and beta diversity estimation
01:42:47.000 --> 01:42:49.000
synthetic HPV type prevalence
01:42:49.000 --> 01:42:51.000
distribution for each trial arm
01:42:51.000 --> 01:42:53.000
data with an n equals
01:42:53.000 --> 01:42:55.000
100,000 was randomly resampled
01:42:55.000 --> 01:42:57.000
a thousand times without replacement
01:42:57.000 --> 01:42:59.000
for equal community size
01:42:59.000 --> 01:43:01.000
community level HPV type
01:43:01.000 --> 01:43:03.000
alpha diversity was estimated using
01:43:03.000 --> 01:43:05.000
resampled synthetic communities
01:43:05.000 --> 01:43:07.000
for 18 to 22 year olds
01:43:07.000 --> 01:43:09.000
a significant increase
01:43:09.000 --> 01:43:11.000
in alpha diversity
01:43:11.000 --> 01:43:13.000
the Shannon index was observed
01:43:13.000 --> 01:43:15.000
from 18 to 22 year olds
01:43:15.000 --> 01:43:17.000
in the synthetic and gender
01:43:17.000 --> 01:43:19.000
and neutral communities
01:43:19.000 --> 01:43:21.000
in contrast a significantly lower
01:43:21.000 --> 01:43:23.000
alpha diversity was sustained
01:43:23.000 --> 01:43:25.000
in the synthetic girls-only communities
01:43:25.000 --> 01:43:27.000
among the 22 year olds
01:43:27.000 --> 01:43:29.000
does that sound like data
01:43:29.000 --> 01:43:31.000
which leads you to believe
01:43:31.000 --> 01:43:35.000
what Vincent just said
01:43:35.000 --> 01:43:37.000
or does it sound like they did a
01:43:37.000 --> 01:43:39.000
mathematical simulation
01:43:39.000 --> 01:43:41.000
that gave them the result that they wanted
01:43:41.000 --> 01:43:45.000
and how
01:43:45.000 --> 01:43:47.000
disingenuously
01:43:47.000 --> 01:43:49.000
is this result
01:43:49.000 --> 01:43:51.000
or this result set
01:43:51.000 --> 01:43:53.000
being represented by these people
01:43:53.000 --> 01:43:55.000
they haven't even mentioned
01:43:55.000 --> 01:43:58.000
that general linearized models
01:43:58.000 --> 01:44:01.000
and this technique called
01:44:01.000 --> 01:44:03.000
a graphical-independent
01:44:03.000 --> 01:44:05.000
network model
01:44:05.000 --> 01:44:09.000
a graphical-independent
01:44:09.000 --> 01:44:11.000
network model
01:44:11.000 --> 01:44:13.000
a graphical-independent
01:44:13.000 --> 01:44:15.000
network modeling
01:44:15.000 --> 01:44:19.000
was used for the observed HPV type
01:44:19.000 --> 01:44:21.000
prevalence data
01:44:21.000 --> 01:44:23.000
and generated a synthetic dataset
01:44:23.000 --> 01:44:25.000
from each original community
01:44:25.000 --> 01:44:27.000
randomized trial arm
01:44:27.000 --> 01:44:29.000
first the
01:44:29.000 --> 01:44:31.000
gin model was fitted
01:44:31.000 --> 01:44:33.000
to each observed trial arm
01:44:33.000 --> 01:44:35.000
HPV type distribution
01:44:35.000 --> 01:44:37.000
over time
01:44:37.000 --> 01:44:39.000
from which a synthetic
01:44:39.000 --> 01:44:41.000
so they basically used
01:44:41.000 --> 01:44:43.000
linear
01:44:43.000 --> 01:44:45.000
and
01:44:45.000 --> 01:44:47.000
graphical
01:44:47.000 --> 01:44:49.000
independence network models
01:44:49.000 --> 01:44:51.000
which I don't say that I understand
01:44:51.000 --> 01:44:53.000
but I'm just telling you what they're doing
01:44:53.000 --> 01:44:55.000
and what they say in their paper
01:44:55.000 --> 01:44:57.000
and what they say in their paper to generate
01:44:57.000 --> 01:44:59.000
a synthetic dataset
01:44:59.000 --> 01:45:01.000
made up of 100,000
01:45:01.000 --> 01:45:03.000
synthetic cases
01:45:03.000 --> 01:45:05.000
or distributions of the
01:45:05.000 --> 01:45:07.000
Hylun papilloma virus
01:45:07.000 --> 01:45:09.000
serotypes
01:45:09.000 --> 01:45:11.000
and in those
01:45:11.000 --> 01:45:13.000
communities which were simulated
01:45:13.000 --> 01:45:15.000
they say that they got
01:45:15.000 --> 01:45:17.000
a significantly lower
01:45:17.000 --> 01:45:19.000
alpha diversity
01:45:19.000 --> 01:45:21.000
in the girls-only communities
01:45:21.000 --> 01:45:23.000
and the gender-neutral
01:45:23.000 --> 01:45:25.000
communities of some kind.
01:45:25.000 --> 01:45:27.000
I mean
01:45:27.000 --> 01:45:29.000
the way that they are discussing this
01:45:29.000 --> 01:45:31.000
it sounds like they just measured a bunch
01:45:31.000 --> 01:45:33.000
of people and found a change in the viruses
01:45:33.000 --> 01:45:35.000
but they actually didn't
01:45:35.000 --> 01:45:37.000
they measured a bunch of people
01:45:37.000 --> 01:45:39.000
and then they used a lot of mathematical tricks
01:45:39.000 --> 01:45:41.000
and tools to create
01:45:41.000 --> 01:45:43.000
a dataset where they say that
01:45:43.000 --> 01:45:45.000
they found a difference between these different
01:45:45.000 --> 01:45:47.000
communities but they're all synthetic communities
01:45:49.000 --> 01:45:51.000
they don't have enough data from the
01:45:51.000 --> 01:45:53.000
real data because what?
01:45:53.000 --> 01:45:55.000
because the communities they're discussing
01:45:55.000 --> 01:45:57.000
have a vaccination rate of between
01:45:57.000 --> 01:45:59.000
25 and 50 percent
01:46:03.000 --> 01:46:05.000
Did you hear that from Vincent or any of these guys yet?
01:46:05.000 --> 01:46:07.000
Not at all
01:46:07.000 --> 01:46:09.000
Not at all
01:46:09.000 --> 01:46:11.000
You don't hear
01:46:11.000 --> 01:46:13.000
it from them at all
01:46:13.000 --> 01:46:15.000
because they don't understand the paper
01:46:15.000 --> 01:46:17.000
or they haven't read the paper
01:46:17.000 --> 01:46:19.000
or they've read the paper and don't understand it
01:46:19.000 --> 01:46:21.000
they're actually all
01:46:21.000 --> 01:46:23.000
based on synthetic modeling
01:46:23.000 --> 01:46:25.000
and interpretation
01:46:25.000 --> 01:46:27.000
based on the limited data set
01:46:27.000 --> 01:46:29.000
that they had
01:46:29.000 --> 01:46:31.000
that the limited data set that they had
01:46:31.000 --> 01:46:33.000
was insufficient to show
01:46:33.000 --> 01:46:35.000
any effect at all
01:46:35.000 --> 01:46:37.000
is lost on these guys
01:46:41.000 --> 01:46:43.000
That's the best way to put it
01:46:43.000 --> 01:46:45.000
That's exactly right
01:46:45.000 --> 01:46:47.000
So they first look at four years
01:46:47.000 --> 01:46:49.000
after vaccination and they compare
01:46:49.000 --> 01:46:51.000
HPV types in this community
01:46:51.000 --> 01:46:53.000
and they have a
01:46:53.000 --> 01:46:55.000
generalized linear model
01:46:55.000 --> 01:46:57.000
GLM for looking at this
01:46:57.000 --> 01:46:59.000
these are all statistical analyses
01:46:59.000 --> 01:47:01.000
of course
01:47:01.000 --> 01:47:03.000
No differences in the
01:47:03.000 --> 01:47:05.000
between the gender-neutral arm A and girls-only-arm B
01:47:05.000 --> 01:47:07.000
at the community or type level
01:47:07.000 --> 01:47:09.000
which remained true even after selecting
01:47:09.000 --> 01:47:11.000
certain birth cohorts
01:47:11.000 --> 01:47:13.000
for the strongest difference in strength
01:47:13.000 --> 01:47:15.000
but four years post-vaccination
01:47:15.000 --> 01:47:17.000
and epigenicity of vaccine-targeted genotypes
01:47:17.000 --> 01:47:19.000
that would be 16, 18, 31
01:47:19.000 --> 01:47:21.000
and 45, 45 in both gender-neutral communities
01:47:21.000 --> 01:47:23.000
and for girls-only communities
01:47:23.000 --> 01:47:25.000
so reduction in the
01:47:25.000 --> 01:47:27.000
circulation of those types
01:47:27.000 --> 01:47:29.000
if you will
01:47:29.000 --> 01:47:31.000
So I have another question related to that then
01:47:31.000 --> 01:47:33.000
How long does the vaccine protect?
01:47:33.000 --> 01:47:35.000
Well we've looked
01:47:35.000 --> 01:47:37.000
when was this first
01:47:37.000 --> 01:47:39.000
This group is from 92 at the earliest
01:47:39.000 --> 01:47:41.000
as far as I know it's durable
01:47:41.000 --> 01:47:43.000
I haven't heard anything about
01:47:43.000 --> 01:47:45.000
waning immunity against it
01:47:45.000 --> 01:47:47.000
because it's not a molecular
01:47:47.000 --> 01:47:49.000
vaccine dependent on the genome
01:47:49.000 --> 01:47:51.000
it's a protein vaccine
01:47:51.000 --> 01:47:53.000
The eight years post-vaccination they found comparable to portions of these
01:47:53.000 --> 01:47:55.000
vaccine-targeted types
01:47:55.000 --> 01:47:57.000
16, 18, 31, 45, again
01:47:57.000 --> 01:47:59.000
in general-neutral and then they find 16, 18, 31
01:47:59.000 --> 01:48:01.000
are reduced in the girls-only communities
01:48:01.000 --> 01:48:03.000
so those are
01:48:03.000 --> 01:48:05.000
types that are targeted by the vaccine
01:48:05.000 --> 01:48:07.000
you can see a reduction which has been reported elsewhere
01:48:07.000 --> 01:48:09.000
Now eight years post-vaccination
01:48:09.000 --> 01:48:11.000
they found an increase of non-vaccinated
01:48:11.000 --> 01:48:13.000
and non-vaccinated types
01:48:13.000 --> 01:48:15.000
52 and 66
01:48:15.000 --> 01:48:17.000
exclusively among the gender-neutral communities
01:48:17.000 --> 01:48:19.000
when you compare them with the control
01:48:19.000 --> 01:48:21.000
because we didn't get any vaccine
01:48:21.000 --> 01:48:23.000
so 52 and 66 are not in the vaccine
01:48:23.000 --> 01:48:25.000
but they're going up
01:48:25.000 --> 01:48:27.000
but you don't see that in the girls-only
01:48:27.000 --> 01:48:29.000
comparison
01:48:29.000 --> 01:48:31.000
I don't know why that is
01:48:31.000 --> 01:48:33.000
I got to this part in the paper
01:48:33.000 --> 01:48:35.000
I was like wait
01:48:35.000 --> 01:48:37.000
how do we make sense of this
01:48:37.000 --> 01:48:39.000
and eventually what I kind of
01:48:39.000 --> 01:48:41.000
like partly from the data but also just like
01:48:41.000 --> 01:48:43.000
how would that even work
01:48:43.000 --> 01:48:45.000
is that the unvaccinated boys
01:48:45.000 --> 01:48:47.000
may serve as something of a reservoir
01:48:47.000 --> 01:48:49.000
for some of the
01:48:49.000 --> 01:48:51.000
of the HPV 16, 18 at all
01:48:51.000 --> 01:48:53.000
and that is preventing
01:48:53.000 --> 01:48:55.000
the
01:48:55.000 --> 01:48:57.000
the ingress if you will of
01:48:57.000 --> 01:48:59.000
52 and 66
01:48:59.000 --> 01:49:01.000
because the niche is not completely unoccupied
01:49:01.000 --> 01:49:03.000
there's a segment of the population that still has
01:49:03.000 --> 01:49:05.000
these oncogenic viruses
01:49:05.000 --> 01:49:07.000
Now that's pretty funny
01:49:07.000 --> 01:49:09.000
for him to say because
01:49:09.000 --> 01:49:11.000
again it seems like
01:49:11.000 --> 01:49:13.000
he hasn't read the paper well enough to know
01:49:13.000 --> 01:49:15.000
that the simulated communities
01:49:15.000 --> 01:49:17.000
have a coverage of 25 to 50 percent
01:49:17.000 --> 01:49:19.000
at best
01:49:19.000 --> 01:49:21.000
and he hasn't realized
01:49:21.000 --> 01:49:23.000
that they don't have a baseline
01:49:23.000 --> 01:49:27.000
so they have no idea
01:49:27.000 --> 01:49:29.000
what the distribution of these
01:49:29.000 --> 01:49:31.000
viruses and serotypes was
01:49:31.000 --> 01:49:33.000
in the background before the
01:49:33.000 --> 01:49:35.000
vaccination took place
01:49:35.000 --> 01:49:37.000
and he's working under the assumption
01:49:37.000 --> 01:49:39.000
that again
01:49:39.000 --> 01:49:41.000
the girls are clean and the boys are clean
01:49:41.000 --> 01:49:43.000
and then they are vaccinated
01:49:43.000 --> 01:49:45.000
and then they mix together sexually
01:49:45.000 --> 01:49:47.000
and then the boys
01:49:47.000 --> 01:49:49.000
if they're not vaccinated
01:49:49.000 --> 01:49:51.000
are the reservoirs
01:49:51.000 --> 01:49:53.000
from which these girls are getting the virus
01:49:53.000 --> 01:49:55.000
but again we're talking about
01:49:55.000 --> 01:49:57.000
vaccination penetration rate
01:49:57.000 --> 01:49:59.000
of like less than 50 percent
01:49:59.000 --> 01:50:03.000
so all the ideas that they're working with
01:50:03.000 --> 01:50:05.000
all the assumptions that they're working with
01:50:05.000 --> 01:50:07.000
are cartoon simple
01:50:07.000 --> 01:50:09.000
cartoon simple
01:50:09.000 --> 01:50:11.000
in the face
01:50:11.000 --> 01:50:13.000
of the paper
01:50:13.000 --> 01:50:15.000
which admits that the
01:50:15.000 --> 01:50:17.000
cartoon simple doesn't work here
01:50:17.000 --> 01:50:19.000
because we're not even able to test that
01:50:19.000 --> 01:50:21.000
there are hundreds
01:50:21.000 --> 01:50:23.000
of serotypes we only test
01:50:23.000 --> 01:50:25.000
for a few
01:50:25.000 --> 01:50:27.000
for 10
01:50:27.000 --> 01:50:29.000
and we look at how these 10 change
01:50:29.000 --> 01:50:31.000
even though we vaccinate from between
01:50:31.000 --> 01:50:33.000
two and nine
01:50:33.000 --> 01:50:35.000
a total number of
01:50:35.000 --> 01:50:37.000
serotypes
01:50:37.000 --> 01:50:39.000
and it gets worse
01:50:39.000 --> 01:50:41.000
the guy up here
01:50:41.000 --> 01:50:43.000
is about to drop the bomb
01:50:43.000 --> 01:50:45.000
of wait a minute
01:50:45.000 --> 01:50:47.000
virology is supposed to be like this
01:50:47.000 --> 01:50:49.000
virology is supposed to be like this
01:50:49.000 --> 01:50:51.000
so what does this mean?
01:50:51.000 --> 01:50:53.000
and they have no clue because
01:50:53.000 --> 01:50:55.000
again this is immunomethology
01:50:55.000 --> 01:50:57.000
the high fidelity is a lie
01:50:57.000 --> 01:50:59.000
the deep
01:50:59.000 --> 01:51:03.000
in depth understanding is a lie
01:51:03.000 --> 01:51:05.000
the application of all of these
01:51:05.000 --> 01:51:07.000
complicated biological
01:51:07.000 --> 01:51:09.000
phenomenon that apply to species
01:51:09.000 --> 01:51:11.000
in evolution
01:51:11.000 --> 01:51:13.000
in ecosystems and applying it to
01:51:13.000 --> 01:51:15.000
virus and virus phenomenon
01:51:15.000 --> 01:51:17.000
is a lie
01:51:19.000 --> 01:51:21.000
that's the dissonance that you see
01:51:21.000 --> 01:51:23.000
this guy dealing with
01:51:23.000 --> 01:51:25.000
in real time
01:51:25.000 --> 01:51:27.000
as he realizes that a lot of this
01:51:27.000 --> 01:51:29.000
mythology
01:51:29.000 --> 01:51:31.000
has been proven wrong
01:51:31.000 --> 01:51:33.000
a lot of these assumptions
01:51:33.000 --> 01:51:35.000
that his career is based
01:51:35.000 --> 01:51:37.000
on have been proven wrong
01:51:37.000 --> 01:51:39.000
are being proven wrong
01:51:39.000 --> 01:51:41.000
in real time
01:51:41.000 --> 01:51:43.000
the HPV vaccine
01:51:43.000 --> 01:51:45.000
doesn't work like the polio vaccine
01:51:45.000 --> 01:51:47.000
did when this guy was a kid
01:51:47.000 --> 01:51:49.000
it doesn't work like the measles
01:51:49.000 --> 01:51:51.000
vaccine works like this
01:51:51.000 --> 01:51:53.000
guy was a kid
01:51:53.000 --> 01:51:55.000
it just doesn't
01:51:55.000 --> 01:51:57.000
work like the vaccine of a
01:51:57.000 --> 01:51:59.000
self-limiting disease
01:51:59.000 --> 01:52:01.000
for which natural immunity
01:52:01.000 --> 01:52:03.000
can be formed by infection
01:52:03.000 --> 01:52:07.000
and if there were ever
01:52:07.000 --> 01:52:09.000
any working examples of a
01:52:09.000 --> 01:52:11.000
vaccine that was successful
01:52:11.000 --> 01:52:13.000
it would be a vaccine made
01:52:13.000 --> 01:52:15.000
from an attenuated
01:52:15.000 --> 01:52:17.000
virus a chemically weakened
01:52:17.000 --> 01:52:19.000
virus
01:52:19.000 --> 01:52:21.000
and exposure to it at a
01:52:21.000 --> 01:52:23.000
barrier
01:52:23.000 --> 01:52:25.000
that intramuscular
01:52:25.000 --> 01:52:27.000
injection of it
01:52:27.000 --> 01:52:29.000
or that in a combination
01:52:29.000 --> 01:52:31.000
of adjuvant substances
01:52:31.000 --> 01:52:33.000
no, no, no
01:52:33.000 --> 01:52:35.000
an Allen Dove
01:52:35.000 --> 01:52:37.000
is not going to realize it
01:52:37.000 --> 01:52:39.000
in his lifetime
01:52:39.000 --> 01:52:41.000
he is a skilled TV watcher
01:52:41.000 --> 01:52:43.000
until the last person around him
01:52:43.000 --> 01:52:45.000
comes to this conclusion
01:52:45.000 --> 01:52:47.000
he will live in this boat
01:52:47.000 --> 01:52:49.000
they're not spreading them to the girls
01:52:49.000 --> 01:52:51.000
who got vaccinated
01:52:51.000 --> 01:52:53.000
but, you know, that's my theory
01:52:53.000 --> 01:52:55.000
that's not really something that the data speak to
01:52:55.000 --> 01:52:57.000
but I think that's at least gave me
01:52:57.000 --> 01:52:59.000
a little explanation that could work
01:52:59.000 --> 01:53:01.000
so that means
01:53:01.000 --> 01:53:03.000
the ones that got vaccinated
01:53:03.000 --> 01:53:05.000
are they still susceptible to the one
01:53:05.000 --> 01:53:07.000
the strains that were not included in the vaccine, right?
01:53:07.000 --> 01:53:09.000
did they convert?
01:53:09.000 --> 01:53:11.000
do they look at that?
01:53:11.000 --> 01:53:13.000
let's see, the analysis is
01:53:13.000 --> 01:53:15.000
let's look at the methods, hang on
01:53:15.000 --> 01:53:17.000
methods except the document
01:53:17.000 --> 01:53:19.000
is this serology or
01:53:19.000 --> 01:53:21.000
well, people infected with
01:53:21.000 --> 01:53:23.000
any of the HPV's
01:53:23.000 --> 01:53:25.000
don't they eventually develop antibodies
01:53:25.000 --> 01:53:27.000
but the antibodies aren't protective
01:53:27.000 --> 01:53:29.000
because the genome is already inside
01:53:29.000 --> 01:53:31.000
holding up like a plasmid in cells
01:53:31.000 --> 01:53:33.000
or is that, did I just remember that
01:53:33.000 --> 01:53:35.000
Sarah prevalence, yeah, that's how they look here
01:53:35.000 --> 01:53:37.000
we're looking at antibodies to the different types
01:53:37.000 --> 01:53:39.000
so if you have antibodies to 16
01:53:39.000 --> 01:53:41.000
you're not protected against any of the other types
01:53:41.000 --> 01:53:43.000
so I wonder
01:53:43.000 --> 01:53:45.000
if you actually caught that
01:53:45.000 --> 01:53:47.000
well, I didn't realize I was an onscreen
01:53:47.000 --> 01:53:49.000
so Alan Dove
01:53:49.000 --> 01:53:51.000
basically again just drops the ball
01:53:51.000 --> 01:53:53.000
and admits that he doesn't know anything about
01:53:53.000 --> 01:53:55.000
what he's talking about
01:53:55.000 --> 01:53:57.000
but he's trying to pretend that he's in authority
01:53:57.000 --> 01:53:59.000
and this guy up here
01:53:59.000 --> 01:54:01.000
is still having problems with the idea that
01:54:01.000 --> 01:54:03.000
wait, there are really a lot of
01:54:03.000 --> 01:54:05.000
serotypes
01:54:05.000 --> 01:54:07.000
and we're only vaccinating against a few of them
01:54:07.000 --> 01:54:09.000
so you guys are talking about ecology
01:54:09.000 --> 01:54:11.000
you're predicting an outcome
01:54:11.000 --> 01:54:13.000
and did they see this outcome?
01:54:13.000 --> 01:54:15.000
and the reality is
01:54:15.000 --> 01:54:17.000
is that they are still trying to read the paper
01:54:17.000 --> 01:54:19.000
in real time to find out exactly
01:54:19.000 --> 01:54:21.000
how this outcome was reached
01:54:21.000 --> 01:54:23.000
and they still haven't gotten to the paragraph
01:54:23.000 --> 01:54:25.000
that I read to you earlier
01:54:25.000 --> 01:54:27.000
where they say
01:54:27.000 --> 01:54:29.000
that the way that they reach these conclusions
01:54:29.000 --> 01:54:31.000
is by creating a synthetic data set
01:54:31.000 --> 01:54:33.000
that was at least 10 times larger
01:54:33.000 --> 01:54:35.000
than the original data set from which it was derived
01:54:39.000 --> 01:54:41.000
I would ask, if they haven't asked
01:54:41.000 --> 01:54:43.000
the people who were protected against the cancer
01:54:43.000 --> 01:54:45.000
inducing strains of HPV
01:54:45.000 --> 01:54:47.000
were still susceptible to the none
01:54:47.000 --> 01:54:49.000
cancer-producing HPV?
01:54:49.000 --> 01:54:51.000
did they convert or not?
01:54:51.000 --> 01:54:53.000
No, they didn't because the ones
01:54:53.000 --> 01:54:55.000
in these cohorts that were vaccinated against the cancer-causing types
01:54:55.000 --> 01:54:57.000
they saw an increase in
01:54:57.000 --> 01:54:59.000
seroconversion against the ones that were not in the vaccine
01:54:59.000 --> 01:55:01.000
so they're clearly getting infected because they're making input
01:55:01.000 --> 01:55:03.000
Right, so they do, they seroconvert against
01:55:03.000 --> 01:55:05.000
the ones that were not in the vaccine against 52 and 66
01:55:05.000 --> 01:55:07.000
they don't seroconvert against 16 and 18
01:55:07.000 --> 01:55:09.000
that weren't in the vaccine
01:55:09.000 --> 01:55:11.000
if they weren't vaccinated
01:55:11.000 --> 01:55:13.000
Does that make sense?
01:55:13.000 --> 01:55:15.000
You get the vaccine, you're going to have antibodies to those
01:55:15.000 --> 01:55:17.000
I'm not sure how they sorted the two out
01:55:17.000 --> 01:55:19.000
but obviously there's a way to do it
01:55:19.000 --> 01:55:21.000
Let's look
01:55:21.000 --> 01:55:23.000
if you want to say 16 and 18
01:55:23.000 --> 01:55:25.000
is declining in prevalence
01:55:25.000 --> 01:55:27.000
based on serology
01:55:27.000 --> 01:55:29.000
that means that
01:55:29.000 --> 01:55:31.000
you're getting contracted antibodies
01:55:31.000 --> 01:55:33.000
naturally, so that's
01:55:33.000 --> 01:55:35.000
even if you've been immunized with 16 and 18
01:55:35.000 --> 01:55:37.000
and eventually those antibodies will go down
01:55:37.000 --> 01:55:39.000
unless you're re-infected, those antibodies will go down
01:55:39.000 --> 01:55:41.000
unless circulation of those types
01:55:41.000 --> 01:55:43.000
whereas you see higher levels of antibodies against the non-vaccine
01:55:43.000 --> 01:55:45.000
included types than you're saying
01:55:45.000 --> 01:55:47.000
those are circulating in the community and they're infecting our subjects
01:55:47.000 --> 01:55:49.000
That's right, but they're not
01:55:49.000 --> 01:55:51.000
It's really unbelievable, right?
01:55:51.000 --> 01:55:53.000
This contradiction and this
01:55:53.000 --> 01:55:55.000
this doesn't
01:55:55.000 --> 01:55:57.000
compute to any of the people on the screen
01:55:57.000 --> 01:55:59.000
and they're still just trying to rationalize it
01:55:59.000 --> 01:56:01.000
making sense
01:56:01.000 --> 01:56:03.000
Let me reiterate
01:56:03.000 --> 01:56:07.000
They use seroprevalence to decide whether or not these people have been infected by these
01:56:07.000 --> 01:56:09.000
of HPV
01:56:11.000 --> 01:56:13.000
but the vaccine
01:56:13.000 --> 01:56:15.000
the only way they can measure
01:56:15.000 --> 01:56:17.000
whether or not the vaccine works
01:56:17.000 --> 01:56:19.000
is looking for seroprevalence responses
01:56:19.000 --> 01:56:21.000
to the vaccine
01:56:21.000 --> 01:56:23.000
So the assumption
01:56:23.000 --> 01:56:25.000
is that if they vaccinate you against
01:56:25.000 --> 01:56:27.000
9 serotypes of HPV
01:56:27.000 --> 01:56:29.000
that you will have
01:56:29.000 --> 01:56:31.000
9 different antibodies
01:56:31.000 --> 01:56:33.000
in circulation responding to
01:56:33.000 --> 01:56:37.000
those 9 different serotypes of HPV
01:56:37.000 --> 01:56:41.000
but then when they look for seroprevalence for
01:56:41.000 --> 01:56:43.000
against all of these viruses
01:56:43.000 --> 01:56:47.000
they find a decreased seroprevalence to
01:56:47.000 --> 01:56:49.000
the viruses
01:56:49.000 --> 01:56:51.000
that you were vaccinated to and an increased
01:56:51.000 --> 01:56:53.000
seroprevalence to the
01:56:53.000 --> 01:56:55.000
to the viruses which are present
01:56:55.000 --> 01:56:57.000
in those people
01:56:57.000 --> 01:56:59.000
So they use the signal
01:56:59.000 --> 01:57:01.000
for immunity
01:57:01.000 --> 01:57:05.000
to also indicate the presence of the virus
01:57:07.000 --> 01:57:09.000
which is really quite
01:57:09.000 --> 01:57:11.000
extraordinary
01:57:11.000 --> 01:57:13.000
They don't have
01:57:13.000 --> 01:57:15.000
actually any data according to their read
01:57:15.000 --> 01:57:17.000
on the prevalence of
01:57:17.000 --> 01:57:19.000
viruses. They have
01:57:19.000 --> 01:57:21.000
data on the prevalence of
01:57:21.000 --> 01:57:23.000
seroprevalence to
01:57:23.000 --> 01:57:25.000
particular serotypes
01:57:25.000 --> 01:57:27.000
of human papilloma virus
01:57:27.000 --> 01:57:29.000
and they only have
01:57:29.000 --> 01:57:31.000
the capability of testing for about
01:57:31.000 --> 01:57:33.000
10 of those
01:57:33.000 --> 01:57:37.000
conditions
01:57:37.000 --> 01:57:39.000
And so they're just kind of casually laughing
01:57:39.000 --> 01:57:41.000
about how I wonder how they differentiate
01:57:41.000 --> 01:57:43.000
between antibodies from the vaccine
01:57:43.000 --> 01:57:45.000
and antibodies from exposure to
01:57:45.000 --> 01:57:47.000
the types that they're trying to eliminate
01:57:47.000 --> 01:57:49.000
Can they tell the difference between
01:57:49.000 --> 01:57:51.000
them? I guess they must have been able to
01:57:51.000 --> 01:57:53.000
let's read about it. They must have done it
01:57:53.000 --> 01:57:55.000
somewhere and then they never come to a conclusion
01:57:55.000 --> 01:57:57.000
and Alan Dubbs fine with that
01:57:57.000 --> 01:57:59.000
They're not causing cancer
01:57:59.000 --> 01:58:01.000
They're not causing cancer
01:58:01.000 --> 01:58:03.000
unless you're re-infected
01:58:03.000 --> 01:58:05.000
those antibodies will go down and that will
01:58:05.000 --> 01:58:07.000
support your idea that there's less circulation
01:58:07.000 --> 01:58:09.000
of those types
01:58:09.000 --> 01:58:11.000
and whereas you see higher levels of antibodies
01:58:11.000 --> 01:58:13.000
against the non-vaccine included types
01:58:13.000 --> 01:58:15.000
than you're saying those are circulating in the community
01:58:15.000 --> 01:58:17.000
and they're infecting our subjects
01:58:17.000 --> 01:58:19.000
But they're not causing cancer
01:58:19.000 --> 01:58:21.000
They're not causing cancer
01:58:21.000 --> 01:58:23.000
They're not causing cancer
01:58:23.000 --> 01:58:25.000
That's the question
01:58:25.000 --> 01:58:27.000
The assumption is
01:58:27.000 --> 01:58:29.000
that any data
01:58:29.000 --> 01:58:31.000
that they have
01:58:31.000 --> 01:58:33.000
on these particular
01:58:33.000 --> 01:58:35.000
serotypes
01:58:35.000 --> 01:58:37.000
is real
01:58:37.000 --> 01:58:39.000
That's the assumption
01:58:39.000 --> 01:58:41.000
It's the assumption
01:58:41.000 --> 01:58:43.000
that's made on all of these papers
01:58:43.000 --> 01:58:45.000
all of the time
01:58:45.000 --> 01:58:47.000
is that
01:58:47.000 --> 01:58:49.000
the distribution
01:58:49.000 --> 01:58:51.000
of the variable in question
01:58:51.000 --> 01:58:53.000
obviously must be this
01:58:53.000 --> 01:58:57.000
So if we don't find what we expect
01:58:57.000 --> 01:58:59.000
then obviously
01:58:59.000 --> 01:59:01.000
what we find is a result of
01:59:01.000 --> 01:59:03.000
the manipulation that we made
01:59:03.000 --> 01:59:07.000
and what none of these biologists and what
01:59:07.000 --> 01:59:09.000
so many academic biologists
01:59:09.000 --> 01:59:11.000
are trained not to do
01:59:11.000 --> 01:59:13.000
is to wonder
01:59:13.000 --> 01:59:17.000
too long about what the initial condition really was
01:59:17.000 --> 01:59:19.000
To assume
01:59:19.000 --> 01:59:21.000
that the initial condition is something
01:59:21.000 --> 01:59:23.000
that you could imagine
01:59:23.000 --> 01:59:25.000
like the initial condition of these children
01:59:25.000 --> 01:59:27.000
well obviously
01:59:27.000 --> 01:59:29.000
since these are sexually transmitted viruses
01:59:29.000 --> 01:59:31.000
and these are kids
01:59:31.000 --> 01:59:33.000
in their early teens
01:59:33.000 --> 01:59:35.000
that haven't had sex
01:59:35.000 --> 01:59:37.000
obviously they have no HPV
01:59:37.000 --> 01:59:39.000
viruses and no HPV
01:59:39.000 --> 01:59:41.000
seroprevalence
01:59:41.000 --> 01:59:43.000
detectable by our tests
01:59:43.000 --> 01:59:45.000
So we don't need to test them
01:59:45.000 --> 01:59:47.000
on the day that we vaccinate them
01:59:47.000 --> 01:59:49.000
We'll test them four years later
01:59:49.000 --> 01:59:53.000
and none of these biologists
01:59:53.000 --> 01:59:55.000
are sophisticated enough
01:59:55.000 --> 01:59:57.000
except for maybe the guy in the upper right
01:59:57.000 --> 01:59:59.000
to understand how ridiculously
01:59:59.000 --> 02:00:01.000
inaccurate
02:00:01.000 --> 02:00:03.000
and unscientific it would be
02:00:03.000 --> 02:00:05.000
to claim that the data that you
02:00:05.000 --> 02:00:07.000
collect at four years out
02:00:07.000 --> 02:00:09.000
and eight years out
02:00:09.000 --> 02:00:11.000
has anything to do with what you did
02:00:11.000 --> 02:00:13.000
at time zero
02:00:13.000 --> 02:00:15.000
in a small portion
02:00:15.000 --> 02:00:17.000
of the total population in which you looked
02:00:17.000 --> 02:00:19.000
and yet somehow or another
02:00:19.000 --> 02:00:21.000
these guys have made
02:00:21.000 --> 02:00:23.000
made a theater
02:00:23.000 --> 02:00:25.000
a presentation
02:00:25.000 --> 02:00:27.000
about an illusion of consensus
02:00:27.000 --> 02:00:29.000
that this is a real
02:00:29.000 --> 02:00:31.000
dataset with real
02:00:31.000 --> 02:00:33.000
results that are
02:00:33.000 --> 02:00:35.000
interpretable as
02:00:35.000 --> 02:00:37.000
indicating
02:00:37.000 --> 02:00:39.000
that HPV vaccination
02:00:39.000 --> 02:00:41.000
in teenagers
02:00:41.000 --> 02:00:43.000
depending on whether you do it in girls
02:00:43.000 --> 02:00:45.000
or in boys has differential effect
02:00:45.000 --> 02:00:47.000
on the ecology
02:00:47.000 --> 02:00:49.000
of human papilloma virus
02:00:49.000 --> 02:00:51.000
distribution among teenagers
02:00:55.000 --> 02:00:57.000
and it's really just a synthetic
02:00:57.000 --> 02:00:59.000
generated dataset
02:00:59.000 --> 02:01:01.000
based on an incomplete
02:01:05.000 --> 02:01:07.000
observation set
02:01:09.000 --> 02:01:11.000
and now what you need to understand is
02:01:11.000 --> 02:01:13.000
that almost all
02:01:13.000 --> 02:01:15.000
biology about
02:01:15.000 --> 02:01:17.000
vaccine-targetable disease
02:01:17.000 --> 02:01:19.000
about all biology
02:01:19.000 --> 02:01:21.000
based on
02:01:21.000 --> 02:01:23.000
augmenting the immune system
02:01:23.000 --> 02:01:25.000
is done with a similar
02:01:25.000 --> 02:01:27.000
level of obfuscation
02:01:27.000 --> 02:01:29.000
exaggeration
02:01:29.000 --> 02:01:31.000
oversimplification
02:01:31.000 --> 02:01:33.000
and over complication
02:01:33.000 --> 02:01:35.000
it's these combinations of
02:01:35.000 --> 02:01:37.000
enchantments that allow them to make
02:01:37.000 --> 02:01:39.000
statements which move
02:01:39.000 --> 02:01:41.000
biosecurity states which can
02:01:41.000 --> 02:01:43.000
move secret meetings which can
02:01:43.000 --> 02:01:45.000
move trillions of dollars
02:01:45.000 --> 02:01:47.000
behind the scenes
02:01:47.000 --> 02:01:49.000
based on oversimplification
02:01:49.000 --> 02:01:51.000
over exaggeration
02:01:51.000 --> 02:01:53.000
over complication
02:01:53.000 --> 02:01:57.000
and a semantic war
02:01:57.000 --> 02:01:59.000
where we take known
02:01:59.000 --> 02:02:01.000
and understood biological
02:02:01.000 --> 02:02:03.000
phenomenon that exists on the species level
02:02:03.000 --> 02:02:05.000
and try to apply it to an
02:02:05.000 --> 02:02:07.000
RNA phenomenon
02:02:07.000 --> 02:02:09.000
or even a DNA
02:02:09.000 --> 02:02:11.000
phenomenon
02:02:11.000 --> 02:02:13.000
which is wholly
02:02:13.000 --> 02:02:15.000
and equivalent to species
02:02:15.000 --> 02:02:17.000
level and ecosystem
02:02:17.000 --> 02:02:19.000
level phenomenon as we understand them
02:02:19.000 --> 02:02:21.000
in macrobiology
02:02:21.000 --> 02:02:23.000
and while
02:02:23.000 --> 02:02:25.000
the old man in the upper right is really
02:02:25.000 --> 02:02:27.000
feeling the grinding
02:02:27.000 --> 02:02:29.000
of the gears here as they have
02:02:29.000 --> 02:02:31.000
this very inaccurate, very
02:02:31.000 --> 02:02:33.000
imprecise discussion
02:02:33.000 --> 02:02:35.000
about a very
02:02:35.000 --> 02:02:37.000
pretty crappy paper
02:02:37.000 --> 02:02:39.000
trying to laud it
02:02:39.000 --> 02:02:41.000
as bonafide
02:02:41.000 --> 02:02:43.000
example of
02:02:43.000 --> 02:02:45.000
vaccine effectiveness
02:02:47.000 --> 02:02:49.000
it's brutal
02:02:49.000 --> 02:02:51.000
but this is how the war is waged
02:02:51.000 --> 02:02:53.000
this is how it's done
02:02:53.000 --> 02:02:55.000
this is the actual battlefield
02:02:55.000 --> 02:02:57.000
right here
02:02:57.000 --> 02:02:59.000
and this is why Gigoen biological
02:02:59.000 --> 02:03:01.000
is going to have years of work to do
02:03:01.000 --> 02:03:03.000
this breaking down
02:03:03.000 --> 02:03:05.000
needs to happen every day
02:03:05.000 --> 02:03:07.000
all the time
02:03:07.000 --> 02:03:09.000
constantly
02:03:09.000 --> 02:03:11.000
until people start to catch on
02:03:11.000 --> 02:03:13.000
and do it with me
02:03:13.000 --> 02:03:15.000
until people start to catch on
02:03:15.000 --> 02:03:17.000
and do it as well as me
02:03:17.000 --> 02:03:19.000
until this starts to catch on
02:03:19.000 --> 02:03:21.000
as a thing that people do
02:03:21.000 --> 02:03:23.000
until these people stop
02:03:23.000 --> 02:03:25.000
doing what they're doing
02:03:25.000 --> 02:03:27.000
because this is part of
02:03:27.000 --> 02:03:29.000
the apparatus that
02:03:29.000 --> 02:03:31.000
misleads doctors
02:03:31.000 --> 02:03:33.000
that underpins the assumptions
02:03:33.000 --> 02:03:35.000
that the conclusions
02:03:35.000 --> 02:03:37.000
that doctors assume are certain
02:03:37.000 --> 02:03:39.000
are caused
02:03:39.000 --> 02:03:41.000
by these kinds of discussions
02:03:41.000 --> 02:03:43.000
these people whose
02:03:43.000 --> 02:03:45.000
academic responsibility has been
02:03:45.000 --> 02:03:47.000
abdicated
02:03:47.000 --> 02:03:49.000
by their own incompetence
02:03:49.000 --> 02:03:51.000
by their own lack of curiosity
02:03:53.000 --> 02:03:55.000
every one of these gentlemen
02:03:55.000 --> 02:03:57.000
should and ladies should be upset
02:03:57.000 --> 02:03:59.000
and ashamed of themselves
02:03:59.000 --> 02:04:01.000
for having been
02:04:01.000 --> 02:04:03.000
in their chair for that long
02:04:03.000 --> 02:04:05.000
and having learned so little
02:04:05.000 --> 02:04:07.000
on their own.
02:04:07.000 --> 02:04:09.000
Let me say that again
02:04:09.000 --> 02:04:11.000
every one of these people
02:04:11.000 --> 02:04:13.000
in these chairs and almost
02:04:13.000 --> 02:04:15.000
all the academic biologists
02:04:15.000 --> 02:04:17.000
currently sitting
02:04:17.000 --> 02:04:19.000
in a tenure-track position
02:04:19.000 --> 02:04:21.000
should be ashamed of themselves
02:04:21.000 --> 02:04:23.000
because they have abdicated
02:04:23.000 --> 02:04:25.000
their responsibilities
02:04:25.000 --> 02:04:27.000
as professional biologists
02:04:27.000 --> 02:04:29.000
to understand the biology
02:04:29.000 --> 02:04:31.000
of vaccination and to understand
02:04:31.000 --> 02:04:33.000
that it has been
02:04:33.000 --> 02:04:35.000
oversimplified
02:04:35.000 --> 02:04:37.000
it has been grossly exaggerated
02:04:37.000 --> 02:04:39.000
ineffectiveness and value
02:04:39.000 --> 02:04:41.000
and we have contorted it
02:04:41.000 --> 02:04:43.000
into a
02:04:43.000 --> 02:04:45.000
a gigantic criminal
02:04:45.000 --> 02:04:47.000
enterprise
02:04:47.000 --> 02:04:49.000
and it is absolutely
02:04:49.000 --> 02:04:51.000
criminally negligent to
02:04:51.000 --> 02:04:53.000
intramuscular inject
02:04:53.000 --> 02:04:55.000
intramuscularly inject
02:04:55.000 --> 02:04:57.000
any combination of substances
02:04:57.000 --> 02:04:59.000
in the vaccine system
02:04:59.000 --> 02:05:01.000
it is definitely criminally negligent
02:05:01.000 --> 02:05:03.000
and it is only because
02:05:03.000 --> 02:05:05.000
doctors don't understand the biology
02:05:05.000 --> 02:05:07.000
it is only because
02:05:07.000 --> 02:05:09.000
the NIAID and the vaccine center
02:05:09.000 --> 02:05:11.000
and all these people
02:05:11.000 --> 02:05:13.000
have obfuscated the truth
02:05:13.000 --> 02:05:15.000
of the biology of the immune system
02:05:15.000 --> 02:05:17.000
that they don't understand
02:05:17.000 --> 02:05:19.000
you can't
02:05:19.000 --> 02:05:21.000
you have to follow these
02:05:21.000 --> 02:05:23.000
and suddenly in vaccinated people
02:05:23.000 --> 02:05:25.000
we start to see cancer as HPV
02:05:25.000 --> 02:05:27.000
that is causing them
02:05:27.000 --> 02:05:29.000
Absolutely
02:05:29.000 --> 02:05:31.000
I've been trying to figure out
02:05:31.000 --> 02:05:33.000
the answer to Dixon's question
02:05:33.000 --> 02:05:35.000
which I think is interesting
02:05:35.000 --> 02:05:37.000
which is what is the geographic
02:05:37.000 --> 02:05:39.000
distribution of the different types
02:05:39.000 --> 02:05:41.000
around the world
02:05:41.000 --> 02:05:43.000
and while I found various titles
02:05:43.000 --> 02:05:45.000
and hits that seemed like they were
02:05:45.000 --> 02:05:47.000
going to be informative
02:05:47.000 --> 02:05:49.000
I didn't find anything that really addresses
02:05:49.000 --> 02:05:51.000
that question
02:05:51.000 --> 02:05:53.000
how many types are all together
02:05:53.000 --> 02:05:55.000
and I was going to say a hundred
02:05:55.000 --> 02:05:57.000
and yet only these two
02:05:57.000 --> 02:05:59.000
it's more than 200 so again
02:05:59.000 --> 02:06:01.000
the virology professor of the world
02:06:01.000 --> 02:06:03.000
has no idea how many serotypes
02:06:03.000 --> 02:06:05.000
there are and more importantly
02:06:05.000 --> 02:06:07.000
he's going to try to avoid saying
02:06:07.000 --> 02:06:09.000
that all the other biological
02:06:09.000 --> 02:06:11.000
principles apply to human
02:06:11.000 --> 02:06:13.000
papilloma virus but the guy in the upper
02:06:13.000 --> 02:06:15.000
right is not going to let him get away
02:06:15.000 --> 02:06:17.000
around the world are responsible
02:06:17.000 --> 02:06:19.000
for the surgical cancer
02:06:19.000 --> 02:06:21.000
and why is this guy down here
02:06:21.000 --> 02:06:23.000
Alan Dove at the bottom saying nine
02:06:23.000 --> 02:06:25.000
when we started out the discussion
02:06:25.000 --> 02:06:27.000
he was sure it was just two
02:06:27.000 --> 02:06:29.000
and then surely behind me here
02:06:29.000 --> 02:06:31.000
says no it's also 36 and 38
02:06:31.000 --> 02:06:33.000
oh yeah that's right
02:06:33.000 --> 02:06:35.000
and then later on five to ten
02:06:35.000 --> 02:06:37.000
minutes later it's oh yeah there's nine
02:06:37.000 --> 02:06:39.000
of them now
02:06:39.000 --> 02:06:41.000
and so now he says like yeah
02:06:41.000 --> 02:06:43.000
it's nine as if he knew
02:06:43.000 --> 02:06:45.000
or he didn't learn it like 20 minutes
02:06:45.000 --> 02:06:47.000
ago
02:06:47.000 --> 02:06:49.000
this is the kind of arrogance
02:06:49.000 --> 02:06:53.000
that we need to fight against
02:06:53.000 --> 02:06:57.000
that's not a humble man
02:06:57.000 --> 02:06:59.000
that's a guy as I said before
02:06:59.000 --> 02:07:01.000
who's just waiting to repeat what he just
02:07:01.000 --> 02:07:03.000
heard so that he can sound smart again
02:07:03.000 --> 02:07:05.000
and he loves doing it
02:07:05.000 --> 02:07:07.000
he loves the one yard rushing
02:07:07.000 --> 02:07:09.000
touchdown
02:07:09.000 --> 02:07:11.000
with an offensive line
02:07:11.000 --> 02:07:13.000
of high schoolers against
02:07:13.000 --> 02:07:15.000
Pee Wee football
02:07:15.000 --> 02:07:17.000
he loves to be the running back
02:07:17.000 --> 02:07:18.000
in that scenario
02:07:18.000 --> 02:07:20.000
give me the ball coach
02:07:20.000 --> 02:07:22.000
I can happy to repeat the line
02:07:26.000 --> 02:07:28.000
but he's not willing to put his
02:07:28.000 --> 02:07:30.000
his academic you know
02:07:30.000 --> 02:07:32.000
and intellectual mind out on a cliff
02:07:32.000 --> 02:07:34.000
and think for himself
02:07:35.000 --> 02:07:37.000
but every time he hears a safe spot
02:07:37.000 --> 02:07:39.000
or a safe thing to say is correct
02:07:39.000 --> 02:07:41.000
or a safe thing that he thinks is certain
02:07:41.000 --> 02:07:43.000
he'll repeat it immediately
02:07:43.000 --> 02:07:45.000
and here he is saying
02:07:45.000 --> 02:07:47.000
yeah it's nine it's nine of them
02:07:47.000 --> 02:07:49.000
even though I didn't even know there was
02:07:49.000 --> 02:07:51.000
Gardasil nine until ten minutes ago
02:07:51.000 --> 02:07:53.000
yeah there's nine of them
02:07:53.000 --> 02:07:54.000
don't you know man?
02:07:54.000 --> 02:07:56.000
how many types are there altogether?
02:07:56.000 --> 02:07:57.000
that's another question
02:07:57.000 --> 02:07:59.000
oh there's at least I was going to say a hundred
02:07:59.000 --> 02:08:01.000
oh maybe yeah
02:08:01.000 --> 02:08:03.000
and yet only these two around the world
02:08:03.000 --> 02:08:05.000
are responsible for these
02:08:05.000 --> 02:08:07.000
well the nine
02:08:07.000 --> 02:08:09.000
I'm at the right
02:08:09.000 --> 02:08:11.000
and potentially more than that
02:08:11.000 --> 02:08:13.000
I mean there's the high on cryogenic and the low on cryogenic
02:08:13.000 --> 02:08:15.000
and even high risk and low risk
02:08:15.000 --> 02:08:17.000
and ontogenicity
02:08:17.000 --> 02:08:19.000
are based on almost no data
02:08:19.000 --> 02:08:21.000
if not zero
02:08:23.000 --> 02:08:25.000
it's really the truth
02:08:25.000 --> 02:08:27.000
I challenge anybody go find it
02:08:27.000 --> 02:08:29.000
if you're a doctor, if you're a skeptic
02:08:29.000 --> 02:08:31.000
go find papers that show
02:08:31.000 --> 02:08:33.000
real data about HPV
02:08:33.000 --> 02:08:35.000
and cancer
02:08:35.000 --> 02:08:37.000
and which
02:08:37.000 --> 02:08:39.000
serotypes cause it
02:08:39.000 --> 02:08:41.000
which of the hundreds of
02:08:41.000 --> 02:08:43.000
serotypes known cause cancer
02:08:43.000 --> 02:08:45.000
and which don't
02:08:45.000 --> 02:08:47.000
which just cause warts
02:08:47.000 --> 02:08:49.000
which ones
02:08:51.000 --> 02:08:53.000
they're basically justifying
02:08:53.000 --> 02:08:55.000
a Merck product
02:08:55.000 --> 02:08:57.000
what else are they doing here
02:08:57.000 --> 02:08:59.000
but defending a Merck product
02:08:59.000 --> 02:09:01.000
with with with Glasgow Smith
02:09:01.000 --> 02:09:03.000
Klein intellectual property
02:09:03.000 --> 02:09:05.000
what else are they doing?
02:09:05.000 --> 02:09:07.000
they're not arguing for the biology of it
02:09:07.000 --> 02:09:09.000
they're not even arguing about the biology of it
02:09:09.000 --> 02:09:11.000
the whole premise is that it
02:09:11.000 --> 02:09:13.000
prevents cancer
02:09:13.000 --> 02:09:15.000
this is a story about
02:09:15.000 --> 02:09:17.000
seroprevalence to zero types
02:09:17.000 --> 02:09:19.000
extended through math
02:09:21.000 --> 02:09:23.000
that's what this is about
02:09:23.000 --> 02:09:25.000
it's not about anything to do with the actual biology
02:09:25.000 --> 02:09:27.000
that this vaccine purports to
02:09:27.000 --> 02:09:29.000
encroach on
02:09:29.000 --> 02:09:31.000
so it's unclear
02:09:31.000 --> 02:09:33.000
how far exactly we've gotten down the risk tree
02:09:33.000 --> 02:09:35.000
but with the nine valent
02:09:35.000 --> 02:09:37.000
it's pretty clear like
02:09:37.000 --> 02:09:39.000
maybe everything maybe there's going to have to be a 10 valent
02:09:39.000 --> 02:09:41.000
later when we discover that there are some
02:09:41.000 --> 02:09:43.000
rare situations where one of these others can be cancerous
02:09:43.000 --> 02:09:45.000
you know so that's possible
02:09:45.000 --> 02:09:47.000
but this guy literally learned
02:09:47.000 --> 02:09:49.000
this biology and the course of
02:09:49.000 --> 02:09:51.000
this discussion he's talking like he
02:09:51.000 --> 02:09:53.000
he's the the jeopardy champion
02:09:53.000 --> 02:09:55.000
of HPV biology
02:09:55.000 --> 02:09:57.000
it's really sad
02:09:59.000 --> 02:10:01.000
I mean if I was on this
02:10:01.000 --> 02:10:03.000
Twiv thing I would be like hey Alan why don't you
02:10:03.000 --> 02:10:05.000
chill out a little bit you didn't even know about
02:10:05.000 --> 02:10:07.000
these are the
02:10:07.000 --> 02:10:09.000
these are the
02:10:09.000 --> 02:10:11.000
these are the big concerns
02:10:11.000 --> 02:10:13.000
okay so there are over 100 different types of
02:10:13.000 --> 02:10:15.000
HPV not all of them cause health problems
02:10:15.000 --> 02:10:17.000
some kinds may cause problems like genital warts
02:10:17.000 --> 02:10:19.000
some kinds can also cause cancer of the cervix
02:10:19.000 --> 02:10:21.000
vagina vulva or anus
02:10:21.000 --> 02:10:23.000
most of these problems are caused by type 611 16 or 18
02:10:23.000 --> 02:10:25.000
November 1st FDA
02:10:25.000 --> 02:10:27.000
oh so
02:10:27.000 --> 02:10:29.000
she found a document from the FDA
02:10:29.000 --> 02:10:31.000
which clears up
02:10:31.000 --> 02:10:33.000
this whole thing about the 200 plus
02:10:33.000 --> 02:10:36.000
zero types and whether they cause cancer or not
02:10:36.000 --> 02:10:37.000
gee thanks
02:10:39.000 --> 02:10:41.000
over 100 okay
02:10:41.000 --> 02:10:43.000
and they're classified at the high risk low risk
02:10:43.000 --> 02:10:45.000
and no risk no no observe risk
02:10:45.000 --> 02:10:47.000
no observe risk right
02:10:47.000 --> 02:10:49.000
one two three four five six
02:10:49.000 --> 02:10:51.000
seven eight nine ten eleven twelve thirteen high risk
02:10:51.000 --> 02:10:53.000
so not all the high risk are in the vaccine because
02:10:53.000 --> 02:10:55.000
I think that just there's not enough infections
02:10:55.000 --> 02:10:57.000
right but maybe that could change right
02:10:57.000 --> 02:10:59.000
yeah and it's like well like or a
02:10:59.000 --> 02:11:01.000
for angel cancer people now talk about HPV
02:11:01.000 --> 02:11:03.000
causing it but
02:11:03.000 --> 02:11:05.000
if you go back 30 or 40 years
02:11:05.000 --> 02:11:07.000
HPV was not really a big topic of conversation for
02:11:07.000 --> 02:11:09.000
oral for angel cancer because the overwhelming majority of it
02:11:09.000 --> 02:11:11.000
was caused by smoking right and when smoking rates
02:11:11.000 --> 02:11:13.000
came down thanks to you know finally
02:11:13.000 --> 02:11:15.000
calling out the tobacco companies to account
02:11:15.000 --> 02:11:17.000
the you know that
02:11:17.000 --> 02:11:19.000
then revealed oh yeah by the way there are
02:11:19.000 --> 02:11:21.000
a lot of cases out there that aren't caused
02:11:21.000 --> 02:11:23.000
right so you didn't see those because there
02:11:23.000 --> 02:11:25.000
was so much else going on and it's possible with
02:11:25.000 --> 02:11:27.000
with these cancer causing HPV's
02:11:27.000 --> 02:11:29.000
now that you get the vaccine when that's gotten
02:11:29.000 --> 02:11:31.000
wide enough uptake we'll get to a point where we'll say
02:11:31.000 --> 02:11:33.000
okay we got most of it and now
02:11:33.000 --> 02:11:35.000
there are these remaining ones and as I say that might
02:11:35.000 --> 02:11:37.000
be time to add more to the
02:11:37.000 --> 02:11:39.000
vaccine but this is certainly proven
02:11:39.000 --> 02:11:41.000
a very very successful strategy
02:11:41.000 --> 02:11:43.000
a very very successful strategy
02:11:43.000 --> 02:11:45.000
it's proven a very very successful strategy
02:11:45.000 --> 02:11:47.000
I'm going to give you another example
02:11:47.000 --> 02:11:49.000
of how numbers can
02:11:49.000 --> 02:11:51.000
be distorted in a very
02:11:51.000 --> 02:11:53.000
disingenuous way that is
02:11:53.000 --> 02:11:55.000
not unlike what is being done here
02:11:55.000 --> 02:11:59.000
if you were a politician in Chicago you might make
02:11:59.000 --> 02:12:03.000
the statement that gun deaths in Chicago are on a decline
02:12:03.000 --> 02:12:07.000
and over the last 10 years they've been on a great decline
02:12:07.000 --> 02:12:11.000
and so a lot of the policing process and the policing
02:12:11.000 --> 02:12:13.000
in Chicago has been successful
02:12:13.000 --> 02:12:15.000
and that would be ridiculous statement
02:12:15.000 --> 02:12:17.000
for one reason and one reason only
02:12:17.000 --> 02:12:19.000
the reason why gun deaths have gone down in Chicago
02:12:19.000 --> 02:12:23.000
is because the ERs have become better at saving people
02:12:23.000 --> 02:12:27.000
from dying from gunshot wounds
02:12:27.000 --> 02:12:29.000
they've become better at treating gunshot wounds
02:12:29.000 --> 02:12:31.000
than they were 10 years ago
02:12:31.000 --> 02:12:35.000
and so the number of gunshot deaths has gone down in Chicago
02:12:35.000 --> 02:12:37.000
over the last 20 years
02:12:37.000 --> 02:12:41.000
but the number of gunshot wounds has gone skyrocketing
02:12:43.000 --> 02:12:45.000
and so in a very
02:12:45.000 --> 02:12:47.000
weird limited way
02:12:47.000 --> 02:12:49.000
depending on who you measure
02:12:49.000 --> 02:12:51.000
and how you simulate it
02:12:51.000 --> 02:12:53.000
what math tools you use
02:12:53.000 --> 02:12:55.000
you can create a dataset
02:12:55.000 --> 02:12:57.000
or a synthetic dataset
02:12:57.000 --> 02:12:59.000
which gives the illusion of change
02:12:59.000 --> 02:13:01.000
an illusion of change
02:13:01.000 --> 02:13:03.000
which logically
02:13:03.000 --> 02:13:05.000
when told as a story or a mythology
02:13:05.000 --> 02:13:09.000
seems to correlate well with the expectations
02:13:09.000 --> 02:13:11.000
of your manipulation of the system
02:13:11.000 --> 02:13:13.000
in this case the idea is
02:13:13.000 --> 02:13:15.000
is that the serial prevalence
02:13:15.000 --> 02:13:19.000
of oncogenic strains of HPV
02:13:19.000 --> 02:13:21.000
in our simulation
02:13:21.000 --> 02:13:23.000
based on a small subset of real data
02:13:23.000 --> 02:13:25.000
seems to indicate
02:13:25.000 --> 02:13:27.000
that the serial prevalence
02:13:27.000 --> 02:13:29.000
the serial prevalence
02:13:29.000 --> 02:13:31.000
not the actual presence
02:13:31.000 --> 02:13:33.000
of but the serial prevalence
02:13:33.000 --> 02:13:35.000
to some of these strains
02:13:35.000 --> 02:13:37.000
changes over time in these communities
02:13:37.000 --> 02:13:39.000
when we simulate them
02:13:39.000 --> 02:13:43.000
at the four and eight-year mark
02:13:43.000 --> 02:13:45.000
that's what they should be saying
02:13:45.000 --> 02:13:47.000
that's what it should say in the abstract
02:13:47.000 --> 02:13:49.000
and say in the conclusions
02:13:49.000 --> 02:13:51.000
and in fact
02:13:51.000 --> 02:13:53.000
what is it saying the conclusions
02:13:53.000 --> 02:13:55.000
it says previously
02:13:55.000 --> 02:13:57.000
we modeled from observed HPV
02:13:57.000 --> 02:13:59.000
vaccine trial data
02:13:59.000 --> 02:14:01.000
and showed the need
02:14:01.000 --> 02:14:03.000
to opt for general neutral
02:14:03.000 --> 02:14:05.000
HPV vaccination strategies
02:14:05.000 --> 02:14:07.000
to realistically meet
02:14:07.000 --> 02:14:11.000
the who targeted eradication
02:14:11.000 --> 02:14:13.000
of oncogenic HPV's
02:14:13.000 --> 02:14:15.000
hold on a minute
02:14:15.000 --> 02:14:17.000
are you kidding me?
02:14:21.000 --> 02:14:23.000
this is what I'm reading
02:14:23.000 --> 02:14:25.000
previously we modeled
02:14:25.000 --> 02:14:27.000
from observed HPV
02:14:27.000 --> 02:14:29.000
vaccine trial data and showed
02:14:29.000 --> 02:14:31.000
the need to adopt for general
02:14:31.000 --> 02:14:33.000
neutral HPV vaccination strategies
02:14:33.000 --> 02:14:35.000
to realistically meet
02:14:35.000 --> 02:14:37.000
the who targeted eradication
02:14:37.000 --> 02:14:39.000
of oncogenic HPV's
02:14:39.000 --> 02:14:41.000
that giant sentence says
02:14:41.000 --> 02:14:43.000
that we need to vaccinate
02:14:43.000 --> 02:14:45.000
both teenage girls
02:14:45.000 --> 02:14:47.000
and teenage boys
02:14:47.000 --> 02:14:49.000
in order to realistically
02:14:49.000 --> 02:14:51.000
meet the world health
02:14:51.000 --> 02:14:53.000
organization goal
02:14:53.000 --> 02:14:55.000
of eradicating oncogenic
02:14:55.000 --> 02:14:57.000
HPV's
02:14:57.000 --> 02:14:59.000
now we've just heard the
02:14:59.000 --> 02:15:01.000
Twivcast say that we don't know
02:15:01.000 --> 02:15:03.000
if these other
02:15:03.000 --> 02:15:05.000
possibly 200 or more
02:15:05.000 --> 02:15:07.000
serial prevalence
02:15:07.000 --> 02:15:09.000
types of HPV are not responsible
02:15:09.000 --> 02:15:11.000
for generating cancer
02:15:11.000 --> 02:15:13.000
we just know that a few of them
02:15:13.000 --> 02:15:15.000
have been associated with
02:15:15.000 --> 02:15:17.000
cancer in the studies that we've done
02:15:17.000 --> 02:15:19.000
and yet here we are
02:15:19.000 --> 02:15:21.000
not talking about the biology
02:15:21.000 --> 02:15:23.000
but talking about a world health
02:15:23.000 --> 02:15:25.000
organization goal of eradicating
02:15:25.000 --> 02:15:27.000
oncogenic HPV's
02:15:27.000 --> 02:15:29.000
so to control oncogenic
02:15:29.000 --> 02:15:31.000
HPV's and related cancers
02:15:31.000 --> 02:15:33.000
we need to understand
02:15:33.000 --> 02:15:35.000
the evolutionary dynamic
02:15:35.000 --> 02:15:37.000
of these oncoviruses
02:15:37.000 --> 02:15:39.000
are they oncoviruses?
02:15:39.000 --> 02:15:41.000
we're just calling them
02:15:41.000 --> 02:15:43.000
oncoviruses because
02:15:43.000 --> 02:15:45.000
that makes
02:15:45.000 --> 02:15:47.000
well it makes things simpler
02:15:47.000 --> 02:15:49.000
it makes the assumption
02:15:49.000 --> 02:15:51.000
an enchantment
02:15:51.000 --> 02:15:53.000
we already know this
02:15:53.000 --> 02:15:55.000
don't we?
02:15:55.000 --> 02:15:57.000
no we don't
02:15:57.000 --> 02:15:59.000
but we're going to call them
02:15:59.000 --> 02:16:01.000
oncoviruses so that it seems like
02:16:01.000 --> 02:16:03.000
we do we made a whole term
02:16:03.000 --> 02:16:05.000
for HPV viruses that cause
02:16:05.000 --> 02:16:07.000
cancer it's an oncovirus
02:16:07.000 --> 02:16:09.000
under long-term vaccine
02:16:09.000 --> 02:16:11.000
induced selective pressure
02:16:11.000 --> 02:16:13.000
long-term vaccine induced
02:16:13.000 --> 02:16:15.000
selective pressure
02:16:15.000 --> 02:16:17.000
is a mythology for which
02:16:17.000 --> 02:16:19.000
there is no
02:16:19.000 --> 02:16:21.000
biological evidence
02:16:21.000 --> 02:16:23.000
including in this paper
02:16:23.000 --> 02:16:25.000
because
02:16:25.000 --> 02:16:27.000
here we
02:16:27.000 --> 02:16:29.000
estimate that low to moderate
02:16:29.000 --> 02:16:31.000
coverage
02:16:31.000 --> 02:16:33.000
HPV vaccination causes
02:16:33.000 --> 02:16:35.000
between
02:16:35.000 --> 02:16:37.000
5.5 and
02:16:37.000 --> 02:16:39.000
36.7 percent change
02:16:39.000 --> 02:16:41.000
in the genital HPV-type
02:16:41.000 --> 02:16:43.000
distribution
02:16:43.000 --> 02:16:45.000
we estimate
02:16:45.000 --> 02:16:47.000
that a
02:16:47.000 --> 02:16:49.000
low to moderate change
02:16:49.000 --> 02:16:51.000
from moderate coverage of HPV
02:16:51.000 --> 02:16:53.000
vaccination causes
02:16:53.000 --> 02:16:55.000
a 25 to 36 percent
02:16:55.000 --> 02:16:57.000
change in the genital HPV-type
02:16:57.000 --> 02:16:59.000
distributions
02:16:59.000 --> 02:17:01.000
in HPV vaccination communities
02:17:01.000 --> 02:17:03.000
the change mostly stems
02:17:03.000 --> 02:17:05.000
from a decrease in the occurrence
02:17:05.000 --> 02:17:07.000
of high-achogenicity
02:17:07.000 --> 02:17:09.000
vaccine-targeted HPV-types
02:17:09.000 --> 02:17:11.000
but particularly when
02:17:11.000 --> 02:17:13.000
implemented general
02:17:13.000 --> 02:17:15.000
neutral also a
02:17:15.000 --> 02:17:17.000
12 to 20 percent shift
02:17:17.000 --> 02:17:19.000
in low-achogenic
02:17:19.000 --> 02:17:21.000
non-vaccine-targeted
02:17:21.000 --> 02:17:23.000
HPV-types is observed
02:17:23.000 --> 02:17:25.000
while the eradication
02:17:25.000 --> 02:17:27.000
of HPV 16-18-31-45 will
02:17:27.000 --> 02:17:29.000
eliminate most cervical cancers
02:17:29.000 --> 02:17:31.000
these are not the
02:17:31.000 --> 02:17:33.000
seroprevalence numbers that were listed by them
02:17:33.000 --> 02:17:35.000
in the previous discussion
02:17:35.000 --> 02:17:37.000
they actually said
02:17:37.000 --> 02:17:39.000
what did they say
02:17:39.000 --> 02:17:41.000
618 something something
02:17:41.000 --> 02:17:43.000
and that's
02:17:43.000 --> 02:17:45.000
right so you didn't see those because there was so much
02:17:45.000 --> 02:17:47.000
by smoking
02:17:47.000 --> 02:17:49.000
surf risk
02:17:49.000 --> 02:17:51.000
surf risk
02:17:51.000 --> 02:17:53.000
rare situation
02:17:53.000 --> 02:17:55.000
listen to the numbers she says here
02:17:55.000 --> 02:17:57.000
that's possible but these are
02:17:57.000 --> 02:17:59.000
okay so there are over 100 different types of
02:17:59.000 --> 02:18:01.000
HPV not all of them cause health problems
02:18:01.000 --> 02:18:03.000
some kinds may cause problems like
02:18:03.000 --> 02:18:05.000
genital wards some kinds can also cause cancer
02:18:05.000 --> 02:18:07.000
of the cervix vagina vulva or anus
02:18:07.000 --> 02:18:09.000
most of these problems are caused by types
02:18:09.000 --> 02:18:11.000
6, 11, 16, or 18
02:18:11.000 --> 02:18:13.000
November 1st FDA
02:18:13.000 --> 02:18:15.000
6, 11, 16, or 18
02:18:15.000 --> 02:18:17.000
in a class of high-risk low risk
02:18:17.000 --> 02:18:19.000
no risk
02:18:19.000 --> 02:18:21.000
no surf risk so what are they talking about then right
02:18:21.000 --> 02:18:23.000
1, 2, 3, 4, 5, 6, 7, 8, 9
02:18:23.000 --> 02:18:25.000
what this paper
02:18:25.000 --> 02:18:27.000
that they're reading
02:18:27.000 --> 02:18:29.000
in the conclusion says that
02:18:29.000 --> 02:18:33.000
while eradication of 16, 18,
02:18:33.000 --> 02:18:35.000
31, and 45 will eliminate
02:18:35.000 --> 02:18:37.000
most cervical cancers
02:18:37.000 --> 02:18:39.000
it is tempting to suggest that an increase
02:18:39.000 --> 02:18:43.000
of 33, 35, 51, 52, 56, and 66
02:18:43.000 --> 02:18:45.000
or the like
02:18:45.000 --> 02:18:47.000
with increased virulence might cause
02:18:47.000 --> 02:18:49.000
a risk of HPV related cancers in the future
02:18:49.000 --> 02:18:51.000
in other words
02:18:51.000 --> 02:18:53.000
eradicating some
02:18:53.000 --> 02:18:55.000
doesn't guarantee that the others
02:18:55.000 --> 02:18:57.000
won't cause cancer
02:18:57.000 --> 02:18:59.000
the correlation
02:18:59.000 --> 02:19:01.000
of these
02:19:01.000 --> 02:19:03.000
does not preclude
02:19:03.000 --> 02:19:05.000
the role of these
02:19:05.000 --> 02:19:07.000
in those same cancers
02:19:07.000 --> 02:19:09.000
it wouldn't surprise me if a lot of times
02:19:09.000 --> 02:19:11.000
when 16, 18, 31, 45,
02:19:11.000 --> 02:19:13.000
1, 6, whichever one you want to do
02:19:13.000 --> 02:19:15.000
is associated with cancer
02:19:15.000 --> 02:19:17.000
they don't do a complete screen
02:19:17.000 --> 02:19:19.000
to show definitively
02:19:19.000 --> 02:19:21.000
that none of these other sero types
02:19:21.000 --> 02:19:23.000
are present
02:19:23.000 --> 02:19:25.000
in this paper they fall woefully short
02:19:25.000 --> 02:19:27.000
of measuring 100, right?
02:19:27.000 --> 02:19:29.000
they only do like 10
02:19:33.000 --> 02:19:35.000
so the really crazy thing to see here
02:19:35.000 --> 02:19:37.000
ladies and gentlemen in this paper
02:19:37.000 --> 02:19:39.000
is this number
02:19:39.000 --> 02:19:41.000
that they use
02:19:43.000 --> 02:19:45.000
because the actual results
02:19:45.000 --> 02:19:47.000
of the paper
02:19:47.000 --> 02:19:49.000
are extraordinary
02:19:49.000 --> 02:19:51.000
where is it?
02:19:53.000 --> 02:19:55.000
I'm going to find this one
02:19:55.000 --> 02:19:57.000
number
02:19:57.000 --> 02:19:59.000
in the results
02:19:59.000 --> 02:20:01.000
that will just blow your mind
02:20:01.000 --> 02:20:03.000
because I do actually think
02:20:03.000 --> 02:20:05.000
that this is what they say
02:20:05.000 --> 02:20:07.000
in the paper
02:20:07.000 --> 02:20:09.000
in this discussion
02:20:13.000 --> 02:20:15.000
where is it?
02:20:15.000 --> 02:20:17.000
come on Jay, find it
02:20:17.000 --> 02:20:19.000
at least in your time like this
02:20:23.000 --> 02:20:25.000
maybe it's right away in the beginning
02:20:25.000 --> 02:20:27.000
it's so close to the start
02:20:27.000 --> 02:20:29.000
maybe that's why I found it right away
02:20:33.000 --> 02:20:35.000
so where is this data here
02:20:35.000 --> 02:20:37.000
we need that
02:20:37.000 --> 02:20:39.000
we need this
02:20:39.000 --> 02:20:41.000
yes here
02:20:41.000 --> 02:20:43.000
HPV prevalence
02:20:43.000 --> 02:20:45.000
oh no this was a different paper
02:20:45.000 --> 02:20:47.000
okay sorry I'm looking for something
02:20:47.000 --> 02:20:49.000
that's not in this paper
02:20:49.000 --> 02:20:51.000
I'm going to show you that paper tomorrow
02:20:51.000 --> 02:20:53.000
I apologize
02:20:53.000 --> 02:20:55.000
I don't think it's this paper
02:20:55.000 --> 02:20:57.000
no it's not it can't be this paper
02:20:57.000 --> 02:20:59.000
it is a paper that they cited
02:20:59.000 --> 02:21:01.000
which paper did they cite
02:21:01.000 --> 02:21:03.000
that I looked that up in
02:21:07.000 --> 02:21:09.000
what paper was it?
02:21:09.000 --> 02:21:11.000
it's one of these first here
02:21:11.000 --> 02:21:13.000
documenting its health
02:21:13.000 --> 02:21:15.000
infectious agent
02:21:15.000 --> 02:21:17.000
eight years what is this one?
02:21:17.000 --> 02:21:19.000
nineteen
02:21:19.000 --> 02:21:21.000
is that the one? no
02:21:21.000 --> 02:21:23.000
which one
02:21:23.000 --> 02:21:25.000
is it?
02:21:25.000 --> 02:21:27.000
okay well anyway
02:21:27.000 --> 02:21:29.000
there's a paper that I wanted to look at
02:21:29.000 --> 02:21:31.000
that I won't look at now
02:21:31.000 --> 02:21:33.000
because it's taken me too long to find it
02:21:33.000 --> 02:21:35.000
which basically is one of the papers
02:21:35.000 --> 02:21:37.000
that that cell micro paper
02:21:37.000 --> 02:21:39.000
has providing proof
02:21:39.000 --> 02:21:41.000
that vaccination reduces
02:21:41.000 --> 02:21:43.000
cancer
02:21:43.000 --> 02:21:45.000
and in that paper
02:21:45.000 --> 02:21:47.000
the results of the
02:21:47.000 --> 02:21:49.000
let's say significant
02:21:49.000 --> 02:21:51.000
result of the vaccine
02:21:51.000 --> 02:21:53.000
is a 19%
02:21:53.000 --> 02:21:55.000
increase in
02:21:55.000 --> 02:21:57.000
cervical cancer
02:21:57.000 --> 02:21:59.000
in the unvaccinated group
02:21:59.000 --> 02:22:01.000
with a 95%
02:22:01.000 --> 02:22:03.000
confidence interval which extends above
02:22:03.000 --> 02:22:05.000
and below one
02:22:05.000 --> 02:22:07.000
basically means that by their
02:22:07.000 --> 02:22:09.000
confidence interval
02:22:09.000 --> 02:22:11.000
they're pretty sure with a 95%
02:22:11.000 --> 02:22:13.000
possibility they're pretty sure
02:22:13.000 --> 02:22:15.000
that either the vaccine
02:22:15.000 --> 02:22:17.000
reduces
02:22:17.000 --> 02:22:19.000
or increases the prevalence of
02:22:19.000 --> 02:22:21.000
cancer in those that receive it
02:22:21.000 --> 02:22:23.000
because again one
02:22:23.000 --> 02:22:25.000
is equivalence
02:22:25.000 --> 02:22:27.000
below one is that
02:22:27.000 --> 02:22:29.000
the vaccine causes
02:22:29.000 --> 02:22:31.000
more people to get cancer
02:22:31.000 --> 02:22:33.000
and above one
02:22:33.000 --> 02:22:35.000
means that it reduces their
02:22:35.000 --> 02:22:37.000
possibility of having cancer
02:22:37.000 --> 02:22:39.000
and their confidence
02:22:39.000 --> 02:22:41.000
intervals in their result
02:22:41.000 --> 02:22:43.000
of 1.19
02:22:43.000 --> 02:22:45.000
is a confidence interval
02:22:45.000 --> 02:22:47.000
that extends from one point
02:22:47.000 --> 02:22:49.000
something
02:22:49.000 --> 02:22:51.000
down to 0.8
02:22:51.000 --> 02:22:53.000
which means that
02:22:53.000 --> 02:22:55.000
they're about 95% sure
02:22:55.000 --> 02:22:57.000
that it either works or it doesn't
02:22:57.000 --> 02:22:59.000
and that is the one
02:22:59.000 --> 02:23:01.000
paper that is cited
02:23:01.000 --> 02:23:03.000
by this cell micro paper
02:23:03.000 --> 02:23:05.000
as you know these things
02:23:05.000 --> 02:23:07.000
are great at preventing cancer
02:23:07.000 --> 02:23:09.000
the same thing that
02:23:09.000 --> 02:23:11.000
Vincent started this whole discussion with
02:23:11.000 --> 02:23:13.000
that these are great strategy
02:23:13.000 --> 02:23:15.000
for
02:23:15.000 --> 02:23:17.000
preventing cancer.
02:23:17.000 --> 02:23:19.000
We don't even have
02:23:19.000 --> 02:23:21.000
people that are old enough
02:23:21.000 --> 02:23:23.000
to produce the data
02:23:23.000 --> 02:23:25.000
that's supposed to be there.
02:23:25.000 --> 02:23:27.000
We're just now getting to the point where
02:23:27.000 --> 02:23:29.000
any teenager that was vaccinated
02:23:29.000 --> 02:23:31.000
with this horrible idea of a product
02:23:31.000 --> 02:23:33.000
is getting into the range
02:23:33.000 --> 02:23:35.000
where they might develop it
02:23:39.000 --> 02:23:41.000
I'm going to kind of wrap it up here
02:23:41.000 --> 02:23:43.000
because I don't think there's any reason
02:23:43.000 --> 02:23:45.000
to let these people talk anymore
02:23:45.000 --> 02:23:47.000
but they might say a few more interesting things
02:23:47.000 --> 02:23:49.000
9, 10, 11, 12, 13 high risk
02:23:49.000 --> 02:23:51.000
so not all the high risk are in the vaccine
02:23:51.000 --> 02:23:53.000
because I think there's not enough infections
02:23:53.000 --> 02:23:55.000
but maybe that could change, right?
02:23:55.000 --> 02:23:57.000
Yeah and it's like
02:23:57.000 --> 02:23:59.000
we'll talk about HPV causing it
02:23:59.000 --> 02:24:01.000
but if you go back 30 or 40 years
02:24:01.000 --> 02:24:03.000
HPV was not really a big topic of conversation
02:24:03.000 --> 02:24:05.000
for oral for angel cancer because the overwhelming majority
02:24:05.000 --> 02:24:07.000
of the vaccine when that's gotten wide enough uptake
02:24:07.000 --> 02:24:09.000
will get to a point where we'll say
02:24:09.000 --> 02:24:11.000
okay we got most of it and now they're these
02:24:11.000 --> 02:24:13.000
remaining ones and as I say that might be time
02:24:13.000 --> 02:24:15.000
to add more to the vaccine
02:24:15.000 --> 02:24:17.000
but this is certainly proven a very very
02:24:17.000 --> 02:24:19.000
successful strategy
02:24:19.000 --> 02:24:21.000
and that's one of the issues for looking at
02:24:21.000 --> 02:24:23.000
this change in the if you'll allow it
02:24:23.000 --> 02:24:25.000
Dixen ecology of the
02:24:25.000 --> 02:24:27.000
other the other serotypes
02:24:27.000 --> 02:24:29.000
All right so I'm going to
02:24:29.000 --> 02:24:31.000
head to the discussion now because I find it easier
02:24:31.000 --> 02:24:33.000
to summarize the results from there
02:24:33.000 --> 02:24:35.000
so basically just to repeat
02:24:35.000 --> 02:24:37.000
so we find depletion of the high oncogene
02:24:37.000 --> 02:24:39.000
vaccine targeted type 16, 18, 31, 45
02:24:39.000 --> 02:24:41.000
and both gender neutral and girls only
02:24:41.000 --> 02:24:43.000
vaccination four years and six years after
02:24:43.000 --> 02:24:45.000
vaccination but eight years but at eight years
02:24:45.000 --> 02:24:47.000
they only see it in gender neutral but what they say is
02:24:47.000 --> 02:24:49.000
our most important finding that increased
02:24:49.000 --> 02:24:51.000
oncogenic HPV's diversity from 48 years
02:24:51.000 --> 02:24:53.000
post vaccination exclusively in gender neutral
02:24:53.000 --> 02:24:55.000
communities even though the high risk
02:24:55.000 --> 02:24:57.000
vaccine targeted
02:24:57.000 --> 02:24:59.000
viruses have been decreased in those
02:24:59.000 --> 02:25:01.000
communities and they write this is the first
02:25:01.000 --> 02:25:03.000
recorded sign of ecological niche occupation
02:25:03.000 --> 02:25:05.000
by the non-vaccinated HPV post population
02:25:05.000 --> 02:25:07.000
level vaccination some of these
02:25:07.000 --> 02:25:09.000
sentences are tough yeah I feel like this paper
02:25:09.000 --> 02:25:11.000
could have used a good copy edit in some parts
02:25:11.000 --> 02:25:13.000
I mean that when the first recorded
02:25:13.000 --> 02:25:15.000
sign of ecological niche occupation by the non-vaccinated
02:25:15.000 --> 02:25:17.000
HPV post population level vaccination
02:25:17.000 --> 02:25:19.000
there's a lot of parts there yeah
02:25:19.000 --> 02:25:21.000
if that was the title I would have rejected the paper
02:25:21.000 --> 02:25:23.000
the second quote sentence of the introduction
02:25:23.000 --> 02:25:25.000
isn't a sentence until you take out the word
02:25:25.000 --> 02:25:27.000
albeit yes yes there were sentences
02:25:27.000 --> 02:25:29.000
that I read four or five times there were several like that
02:25:29.000 --> 02:25:31.000
that I came to oh I see what they mean now
02:25:31.000 --> 02:25:33.000
okay but so they can't write a paper
02:25:33.000 --> 02:25:35.000
the paper is written in a very very
02:25:35.000 --> 02:25:37.000
inaccurate and imprecise way
02:25:37.000 --> 02:25:39.000
but they're still sure
02:25:39.000 --> 02:25:41.000
that they understand the implications
02:25:41.000 --> 02:25:43.000
of the paper even though they haven't
02:25:43.000 --> 02:25:45.000
even stated that the data
02:25:45.000 --> 02:25:47.000
that's that they're using to make
02:25:47.000 --> 02:25:51.000
their conclusions is synthetic
02:25:51.000 --> 02:25:53.000
did you
02:25:53.000 --> 02:25:55.000
did you I mean
02:25:55.000 --> 02:25:59.000
where did I put that paper now here
02:25:59.000 --> 02:26:03.000
I suppose I got rid of it right I closed it
02:26:03.000 --> 02:26:05.000
did I close that
02:26:05.000 --> 02:26:07.000
I guess I closed that window
02:26:07.000 --> 02:26:09.000
hold on let me pull this up again
02:26:09.000 --> 02:26:11.000
PDF
02:26:11.000 --> 02:26:15.000
we're here
02:26:15.000 --> 02:26:17.000
so let's see
02:26:17.000 --> 02:26:19.000
where was this
02:26:19.000 --> 02:26:21.000
paper the
02:26:21.000 --> 02:26:25.000
the methodology here right so
02:26:25.000 --> 02:26:27.000
that was this one this is where I read it
02:26:27.000 --> 02:26:29.000
I mean I'm not
02:26:29.000 --> 02:26:31.000
for figure three they had to do a
02:26:31.000 --> 02:26:33.000
simulation of community prevalence
02:26:33.000 --> 02:26:35.000
distribution by vaccination strategy
02:26:35.000 --> 02:26:37.000
so finally to comprehensive
02:26:37.000 --> 02:26:39.000
evaluate the community level
02:26:39.000 --> 02:26:41.000
HPV type diversity
02:26:41.000 --> 02:26:43.000
distribution between the trial arms
02:26:43.000 --> 02:26:45.000
they use this
02:26:45.000 --> 02:26:47.000
general independent
02:26:47.000 --> 02:26:49.000
or graphic independence network
02:26:49.000 --> 02:26:51.000
modeling
02:26:51.000 --> 02:26:53.000
and they simulated a
02:26:53.000 --> 02:26:55.000
data set
02:26:55.000 --> 02:26:57.000
simulated a distribution
02:26:57.000 --> 02:26:59.000
for a hundred thousand individuals
02:26:59.000 --> 02:27:03.000
and then they made their figure three
02:27:03.000 --> 02:27:07.000
based on that this figure three is based on that
02:27:07.000 --> 02:27:11.000
synthetic community level distribution
02:27:11.000 --> 02:27:15.000
it's beta diversity using synthetic data
02:27:15.000 --> 02:27:19.000
it's not really an
02:27:19.000 --> 02:27:21.000
observation that has much significance
02:27:21.000 --> 02:27:23.000
except for when they extended it using
02:27:23.000 --> 02:27:27.000
synthetic data
02:27:27.000 --> 02:27:31.000
that's the part that's most frustrating
02:27:31.000 --> 02:27:35.000
this data from the actual communities was not sufficient
02:27:35.000 --> 02:27:39.000
for them to demonstrate the effect that they claim to have observed
02:27:39.000 --> 02:27:41.000
that's really important
02:27:41.000 --> 02:27:43.000
it's really important because
02:27:43.000 --> 02:27:45.000
these these twib people
02:27:45.000 --> 02:27:47.000
aren't adequately
02:27:47.000 --> 02:27:49.000
describing the limitations of the paper
02:27:49.000 --> 02:27:51.000
even as they
02:27:51.000 --> 02:27:53.000
they pretend to have this discussion
02:27:53.000 --> 02:27:55.000
about what's wrong with it or
02:27:55.000 --> 02:27:57.000
they're not very good writers or they should have written it better
02:27:57.000 --> 02:27:59.000
it needs a copy editor
02:28:01.000 --> 02:28:03.000
it doesn't need a copy editor
02:28:03.000 --> 02:28:05.000
it needs somebody to adequately
02:28:05.000 --> 02:28:07.000
explain how much
02:28:07.000 --> 02:28:09.000
charlatanism and enchant
02:28:09.000 --> 02:28:11.000
and is being cast by such a paper
02:28:13.000 --> 02:28:15.000
how very little
02:28:15.000 --> 02:28:17.000
forward progress is made
02:28:17.000 --> 02:28:19.000
by such a paper
02:28:19.000 --> 02:28:21.000
how it's vital
02:28:21.000 --> 02:28:23.000
that no forward progress
02:28:23.000 --> 02:28:25.000
is made in this field in order
02:28:25.000 --> 02:28:27.000
for this mythology to be sustained
02:28:29.000 --> 02:28:31.000
and that's the role that this clown
02:28:31.000 --> 02:28:33.000
show plays
02:28:33.000 --> 02:28:35.000
that this handler
02:28:35.000 --> 02:28:37.000
is using these people for
02:28:37.000 --> 02:28:39.000
is using
02:28:39.000 --> 02:28:41.000
fame, perceived
02:28:41.000 --> 02:28:43.000
fame, perceived
02:28:43.000 --> 02:28:45.000
importance, perceived
02:28:45.000 --> 02:28:47.000
significance on the internet
02:28:47.000 --> 02:28:49.000
you know you're part of
02:28:49.000 --> 02:28:51.000
twiv, so you've got an obligation
02:28:51.000 --> 02:28:53.000
to get this right
02:28:53.000 --> 02:28:55.000
and this is the moderator right here
02:28:55.000 --> 02:28:57.000
the guy who is responsible for the first
02:28:57.000 --> 02:28:59.000
infectious clone of an RNA virus
02:28:59.000 --> 02:29:01.000
ever
02:29:01.000 --> 02:29:03.000
with his supervisor
02:29:03.000 --> 02:29:05.000
David Baltimore
02:29:05.000 --> 02:29:07.000
who I'm convinced is one of the
02:29:07.000 --> 02:29:09.000
granddaddy of all the liars
02:29:09.000 --> 02:29:11.000
in this group of people
02:29:11.000 --> 02:29:13.000
granddaddy of them all
02:29:13.000 --> 02:29:15.000
is David Baltimore
02:29:15.000 --> 02:29:17.000
if there's anyone who knows
02:29:17.000 --> 02:29:19.000
the truth about the lies
02:29:19.000 --> 02:29:21.000
of intramuscular injection
02:29:21.000 --> 02:29:23.000
and the augmenting of the immune system
02:29:23.000 --> 02:29:25.000
using adjuvants and recombinant proteins
02:29:25.000 --> 02:29:27.000
hits David Baltimore
02:29:27.000 --> 02:29:29.000
and his protégé
02:29:29.000 --> 02:29:31.000
Vincent Rancin yellow
02:29:31.000 --> 02:29:33.000
racking yellow
02:29:33.000 --> 02:29:37.000
excuse me
02:29:37.000 --> 02:29:39.000
that's enough of these characters I think
02:29:39.000 --> 02:29:41.000
let's just see if they end
02:29:41.000 --> 02:29:43.000
why are we looking at this because
02:29:43.000 --> 02:29:45.000
if other viruses arise
02:29:45.000 --> 02:29:47.000
to feel this niche then this could be a problem
02:29:47.000 --> 02:29:49.000
for vaccination and they say this has been
02:29:49.000 --> 02:29:51.000
observed with other viruses including hepatitis B virus right?
02:29:51.000 --> 02:29:53.000
SARS-CoV-2 we see antigenic variants
02:29:53.000 --> 02:29:55.000
arising and replacing others
02:29:55.000 --> 02:29:57.000
and so HPV's could have a similar pattern as well
02:29:57.000 --> 02:29:59.000
and in a more immediate sense
02:29:59.000 --> 02:30:01.000
we need to be aware of this for screening programs
02:30:01.000 --> 02:30:03.000
you have to make sure that your screening is specific enough
02:30:03.000 --> 02:30:05.000
that you're you know if you're going to say
02:30:05.000 --> 02:30:07.000
oh you know you've got evidence of a cancer causing virus
02:30:07.000 --> 02:30:09.000
this is the most awful part about it
02:30:09.000 --> 02:30:11.000
because essentially
02:30:11.000 --> 02:30:15.000
the only real public health data about
02:30:15.000 --> 02:30:17.000
who in papilloma virus and cancer
02:30:17.000 --> 02:30:19.000
is that like
02:30:19.000 --> 02:30:21.000
an incredible number of these cancers
02:30:21.000 --> 02:30:25.000
are essentially treated and avoided
02:30:25.000 --> 02:30:27.000
in regular screening
02:30:27.000 --> 02:30:29.000
and these vaccine pushing
02:30:29.000 --> 02:30:33.000
charlatans are saying that this is evidence
02:30:33.000 --> 02:30:35.000
for the paper
02:30:35.000 --> 02:30:37.000
argues that we might not
02:30:37.000 --> 02:30:39.000
need to screen as many people
02:30:39.000 --> 02:30:41.000
other people have argued that this means
02:30:41.000 --> 02:30:43.000
that we might need to screen people for different viruses
02:30:43.000 --> 02:30:45.000
or that we could screen them for viruses
02:30:45.000 --> 02:30:47.000
instead of for cancer because it's cheaper
02:30:49.000 --> 02:30:51.000
and here's Alan Dove
02:30:51.000 --> 02:30:53.000
right away running in for the
02:30:53.000 --> 02:30:55.000
one yard touchdown
02:30:55.000 --> 02:30:57.000
oh give me the ball
02:30:57.000 --> 02:30:59.000
I can push this one through
02:30:59.000 --> 02:31:01.000
and by the way
02:31:01.000 --> 02:31:05.000
it is absolutely disgusting
02:31:05.000 --> 02:31:07.000
make sure you've got the exact stereotype correct
02:31:07.000 --> 02:31:09.000
so that you don't have false alarms
02:31:09.000 --> 02:31:11.000
because you're going to have
02:31:11.000 --> 02:31:13.000
possibly these other these other stereotypes moving in
02:31:13.000 --> 02:31:15.000
another question that I would have as an economist
02:31:15.000 --> 02:31:17.000
here goes can a single person acquire
02:31:17.000 --> 02:31:19.000
several or ten different strains
02:31:19.000 --> 02:31:21.000
or whatever you're calling these
02:31:21.000 --> 02:31:23.000
variants of the couple of hours at the same time
02:31:23.000 --> 02:31:25.000
sure sure they can have
02:31:25.000 --> 02:31:27.000
ten different strains at the same time
02:31:27.000 --> 02:31:29.000
but we don't know how many they have
02:31:29.000 --> 02:31:31.000
and we assume that they only have one
02:31:31.000 --> 02:31:33.000
most of the time right Vincent
02:31:33.000 --> 02:31:35.000
we're not because the ecological
02:31:35.000 --> 02:31:37.000
concept of species
02:31:37.000 --> 02:31:39.000
is that no two species
02:31:39.000 --> 02:31:41.000
different can occupy the same dish
02:31:41.000 --> 02:31:43.000
only one species can occupy that niche
02:31:43.000 --> 02:31:45.000
typical co-infection with more than one type
02:31:45.000 --> 02:31:47.000
is common especially among young women
02:31:47.000 --> 02:31:49.000
common so that means common
02:31:49.000 --> 02:31:51.000
well then how in the world do they know
02:31:51.000 --> 02:31:53.000
that these oncogenic varieties
02:31:53.000 --> 02:31:55.000
are responsible if it's very common
02:31:55.000 --> 02:31:57.000
to have many serotypes
02:31:57.000 --> 02:31:59.000
on board
02:31:59.000 --> 02:32:01.000
these are not species
02:32:01.000 --> 02:32:03.000
they're varieties of the same type types
02:32:03.000 --> 02:32:05.000
so the use of that word ecological
02:32:05.000 --> 02:32:07.000
applies to species I'm sorry but that's a strict definition
02:32:07.000 --> 02:32:09.000
really? and that's exactly
02:32:09.000 --> 02:32:11.000
what I'm talking about
02:32:11.000 --> 02:32:13.000
you can't take these strict definitions
02:32:13.000 --> 02:32:15.000
with strict meanings and strict
02:32:15.000 --> 02:32:17.000
strict conceptual meaning
02:32:17.000 --> 02:32:19.000
and then apply them to something as limited
02:32:19.000 --> 02:32:21.000
and lame
02:32:21.000 --> 02:32:23.000
as an RNA or DNA virus
02:32:23.000 --> 02:32:25.000
for which we know their biology
02:32:25.000 --> 02:32:27.000
is greatly limited by their replication
02:32:27.000 --> 02:32:29.000
capacity and their lack of
02:32:29.000 --> 02:32:31.000
all these other attributes that we
02:32:31.000 --> 02:32:33.000
generally associate with
02:32:33.000 --> 02:32:35.000
pattern integrity is called life
02:32:37.000 --> 02:32:39.000
and here you see
02:32:39.000 --> 02:32:41.000
the malfunction of the machine with this
02:32:41.000 --> 02:32:43.000
grinning little clown down here
02:32:43.000 --> 02:32:45.000
who thinks it's funny that there's
02:32:45.000 --> 02:32:47.000
contradictions in the biology that they
02:32:47.000 --> 02:32:49.000
discuss and it's funny that it bothers
02:32:49.000 --> 02:32:51.000
that old man as much as it
02:32:51.000 --> 02:32:53.000
doesn't bother him
02:32:53.000 --> 02:32:55.000
because his little mushy brain
02:32:55.000 --> 02:32:57.000
is capable of juggling these words like
02:32:57.000 --> 02:32:59.000
this these contradictions are normal for
02:32:59.000 --> 02:33:01.000
him
02:33:01.000 --> 02:33:03.000
not normal for this old guy
02:33:03.000 --> 02:33:05.000
maybe this old guy is redeemable
02:33:05.000 --> 02:33:07.000
maybe this guy is going to leave
02:33:07.000 --> 02:33:09.000
to him in a few weeks because he starts
02:33:09.000 --> 02:33:11.000
to become convinced that something's not right
02:33:11.000 --> 02:33:15.000
absolutely
02:33:15.000 --> 02:33:17.000
why can't we be flexible Dickson?
02:33:17.000 --> 02:33:19.000
he was the one who came up with that
02:33:19.000 --> 02:33:21.000
Dickson, I like Dickson
02:33:21.000 --> 02:33:23.000
I think Dickson is my new favorite guy
02:33:23.000 --> 02:33:25.000
on Twiv and then they said
02:33:25.000 --> 02:33:27.000
I looked up the reference
02:33:27.000 --> 02:33:29.000
31 that they use for their guide
02:33:29.000 --> 02:33:31.000
and it's called ecological niche by
02:33:31.000 --> 02:33:33.000
a series of authors the Princeton guide to ecology
02:33:33.000 --> 02:33:35.000
that's their guide
02:33:35.000 --> 02:33:37.000
to say what on issues. I'm sorry
02:33:37.000 --> 02:33:39.000
the original concept of Disha was
02:33:39.000 --> 02:33:41.000
published by G. Evelyn Hutchinson
02:33:41.000 --> 02:33:43.000
and everybody else followed suit
02:33:43.000 --> 02:33:45.000
as they agreed with him but viruses don't
02:33:45.000 --> 02:33:47.000
occur as species right? No they don't
02:33:47.000 --> 02:33:49.000
so the word ecology probably is the wrong word
02:33:49.000 --> 02:33:51.000
no why don't we just change the definition of ecology
02:33:51.000 --> 02:33:53.000
there it is ladies and gentlemen
02:33:53.000 --> 02:33:55.000
there it is
02:33:55.000 --> 02:33:57.000
that's the clip for you for all time
02:33:57.000 --> 02:33:59.000
why don't we just change the definition
02:33:59.000 --> 02:34:01.000
of ecology then
02:34:01.000 --> 02:34:03.000
why don't we just change the
02:34:03.000 --> 02:34:05.000
correlative immunity then
02:34:05.000 --> 02:34:07.000
why don't we just change the definition
02:34:07.000 --> 02:34:09.000
why don't we just stop calling it
02:34:09.000 --> 02:34:11.000
transfection
02:34:13.000 --> 02:34:15.000
if you don't see it for the evil
02:34:15.000 --> 02:34:17.000
that it is that what they are saying right now
02:34:17.000 --> 02:34:19.000
right here is the home run of
02:34:19.000 --> 02:34:21.000
home runs that you need to hear nothing
02:34:21.000 --> 02:34:25.000
else you are being lied to
02:34:25.000 --> 02:34:27.000
by a series of charlatans
02:34:27.000 --> 02:34:29.000
that are misusing the language
02:34:29.000 --> 02:34:33.000
of biology to obfuscate their mythology
02:34:33.000 --> 02:34:37.000
that's what's happening here and Vincent
02:34:37.000 --> 02:34:41.000
Renson Yellow is a striking example of it
02:34:41.000 --> 02:34:43.000
in real time right here right now
02:34:43.000 --> 02:34:45.000
listen carefully
02:34:45.000 --> 02:34:49.000
after Dixon so eloquently explains why
02:34:49.000 --> 02:34:51.000
concepts like ecology and species
02:34:51.000 --> 02:34:53.000
and niche
02:34:53.000 --> 02:34:55.000
do not apply to a phenomenon
02:34:55.000 --> 02:34:57.000
like an RNA or DNA virus
02:34:57.000 --> 02:34:59.000
for which there are 20 plus
02:34:59.000 --> 02:35:01.000
or 100 plus
02:35:01.000 --> 02:35:03.000
or 200 plus
02:35:03.000 --> 02:35:05.000
serotypes that can all occupy
02:35:05.000 --> 02:35:07.000
the same niche at once
02:35:07.000 --> 02:35:09.000
hit in a niche
02:35:09.000 --> 02:35:11.000
what is Vincent Rask Rask Rask
02:35:11.000 --> 02:35:13.000
and Yellow say
02:35:13.000 --> 02:35:15.000
let's just change
02:35:15.000 --> 02:35:17.000
the definition of the word
02:35:17.000 --> 02:35:19.000
guide to say what on issues
02:35:19.000 --> 02:35:21.000
I'm sorry
02:35:21.000 --> 02:35:23.000
the original concept of dish was established
02:35:23.000 --> 02:35:25.000
by Gevlin Hutchinson and everybody else followed suit
02:35:25.000 --> 02:35:27.000
yes but they agreed with him but viruses don't occur
02:35:27.000 --> 02:35:29.000
no they don't know they don't so the word of
02:35:29.000 --> 02:35:33.000
probably is the wrong word no why don't we just change the definition of ecology
02:35:33.000 --> 02:35:37.000
I think you can do that but some people would be very upset if you did that
02:35:37.000 --> 02:35:41.000
there's another interesting point here though if you can have multiple infection
02:35:41.000 --> 02:35:45.000
why would eliminating HPV 1618 L that's a good question to a shift like this
02:35:45.000 --> 02:35:49.000
that's right right if they could all get along fine before exactly we wouldn't
02:35:49.000 --> 02:35:53.000
necessarily I wouldn't expect to see a shift so Alan Dove now has a
02:35:53.000 --> 02:35:57.000
completely different stance on things because his
02:35:57.000 --> 02:35:59.000
understanding of biology
02:35:59.000 --> 02:36:01.000
is so flexible
02:36:01.000 --> 02:36:03.000
I mean
02:36:03.000 --> 02:36:07.000
now he suddenly realizes that wait I mean if
02:36:07.000 --> 02:36:11.000
they're they can all be there at the same time then why don't they cause pressure
02:36:11.000 --> 02:36:15.000
obviously the phenomenon that we saw in this paper is due to
02:36:15.000 --> 02:36:19.000
selective in competition pressure because that's the only way we would see a phenomenon like this
02:36:19.000 --> 02:36:23.000
is exactly what Alan Dove said about 10 minutes ago
02:36:23.000 --> 02:36:25.000
in the video
02:36:25.000 --> 02:36:29.000
not 10 minutes ago on my stream but 10 minutes in the video he said
02:36:29.000 --> 02:36:33.000
that obviously they must be competing and that's why niche is a perfectly
02:36:33.000 --> 02:36:37.000
good use and that's why ecology is the right term and he laughed at Dixon
02:36:37.000 --> 02:36:43.000
now 10 minutes after discussing it and after re-ashing it and after discussing
02:36:43.000 --> 02:36:48.000
the paper a little more and reminding him about recombination and all this other stuff
02:36:48.000 --> 02:36:52.000
he now realizes oh wait maybe there shouldn't be and then why did we see this
02:36:52.000 --> 02:36:54.000
phenomenon wow that's very interesting
02:36:58.000 --> 02:37:02.000
we're not talking about diatoms and photosynthesis here Alan Dove
02:37:02.000 --> 02:37:06.000
we're talking about a multi-billion dollar product being hoisted
02:37:06.000 --> 02:37:10.000
on teenagers for no reason for no biology
02:37:10.000 --> 02:37:14.000
that's based in reality and you're just realizing it now
02:37:14.000 --> 02:37:20.000
live in front of people who are coming to you for informed consent on these things
02:37:22.000 --> 02:37:32.000
that's a failure that's a giant failure that's a gigantic failure
02:37:32.000 --> 02:37:40.000
ladies and gentlemen that's what that is that is a crash and burn failure of this system
02:37:40.000 --> 02:37:46.000
that is controlling us and we are seeing through it in real time
02:37:47.000 --> 02:37:52.000
and we are going to break this wheel in real time
02:37:52.000 --> 02:37:56.000
the way that we're going to break this wheel is by breaking down this plan that they had
02:37:56.000 --> 02:38:02.000
this theater that they had and breaking it down by doing the math that they don't want to do
02:38:02.000 --> 02:38:07.000
they want you to believe that there was a gain of function possibility
02:38:07.000 --> 02:38:11.000
that this whole thing came from the worst case scenario
02:38:11.000 --> 02:38:15.000
that it was a gain of function laboratory bio weapon that was released
02:38:15.000 --> 02:38:19.000
and there's this illusion of consensus that that's the reason why you were
02:38:19.000 --> 02:38:23.000
here not to blame for having been scared into taking the vaccine
02:38:23.000 --> 02:38:27.000
because this was the worst case scenario that they sent it to you
02:38:27.000 --> 02:38:32.000
and this illusion of consensus about a novel virus that killed millions of people
02:38:32.000 --> 02:38:35.000
that we saved millions of people from that was likely gain of function
02:38:35.000 --> 02:38:39.000
and that will come again this illusion of consensus is how they got us
02:38:39.000 --> 02:38:43.000
and the way that they sustain this illusion of consensus is by telling you
02:38:43.000 --> 02:38:48.000
the lie that everybody that died in excess in the last three years
02:38:48.000 --> 02:38:52.000
is a result of the mystery virus and the only way this lie works
02:38:52.000 --> 02:38:55.000
is if you don't talk about the do not resuscitate orders
02:38:55.000 --> 02:38:57.000
you don't talk about ventilators
02:38:57.000 --> 02:39:00.000
you don't talk about the lack of use of antibiotics
02:39:00.000 --> 02:39:02.000
you don't talk about the poor use of steroids
02:39:02.000 --> 02:39:04.000
you don't talk about remdesivir or medazlin
02:39:04.000 --> 02:39:07.000
you don't talk about the extra opioid deaths
02:39:07.000 --> 02:39:09.000
you don't talk about death certificate fraud
02:39:09.000 --> 02:39:11.000
you don't talk about all of this math
02:39:11.000 --> 02:39:15.000
about PCR fraud and lateral flow test fraud in the UK
02:39:15.000 --> 02:39:19.000
you don't talk about all of the illusion of virology
02:39:19.000 --> 02:39:26.000
you don't talk about all of the illusion of correlates of immunity
02:39:26.000 --> 02:39:29.000
and you just talk about a novel virus
02:39:29.000 --> 02:39:33.000
you just talk about the millions of people that were killed by the novel virus
02:39:33.000 --> 02:39:37.000
you just talk about gain of function and bioterrorism
02:39:37.000 --> 02:39:39.000
you just talk about how they're going to do it again
02:39:43.000 --> 02:39:45.000
that's how this was done
02:39:45.000 --> 02:39:49.000
you don't need a bioweapon to do this
02:39:49.000 --> 02:39:53.000
you need a spectacular commitment to this lie
02:39:53.000 --> 02:39:59.000
a spectacular commitment by these people to this lie
02:39:59.000 --> 02:40:02.000
is the illusion of consensus that has changed the way we think
02:40:02.000 --> 02:40:04.000
and trapped us in this illusion
02:40:04.000 --> 02:40:10.000
this scooby-doo mystery about trying to figure out whether it was a laboratory leak or a bat cave zoonosis
02:40:10.000 --> 02:40:14.000
that's what this faith is
02:40:14.000 --> 02:40:18.000
and figuring it out and finding the liars and blaming ego health alliances
02:40:18.000 --> 02:40:21.000
is all part of this mystery-solving game
02:40:21.000 --> 02:40:25.000
to brainwash yourself into believing this illusion of consensus
02:40:25.000 --> 02:40:29.000
and the way to break this illusion of consensus is to realize
02:40:29.000 --> 02:40:33.000
that the laboratory leak, the solving of it, was a mystery
02:40:33.000 --> 02:40:35.000
the use had to solve
02:40:35.000 --> 02:40:37.000
that allowed them to do all these things
02:40:37.000 --> 02:40:41.000
under the guise of trying to do their best to solve this novel problem
02:40:41.000 --> 02:40:43.000
that was never novel
02:40:43.000 --> 02:40:47.000
and the illusion of consensus created by these people
02:40:47.000 --> 02:40:50.000
is what brainwashed your family and friends
02:40:50.000 --> 02:40:52.000
it brainwashed the people on TV
02:40:52.000 --> 02:40:54.000
into believing this illusion of consensus
02:40:54.000 --> 02:40:56.000
and it is a faith
02:40:56.000 --> 02:40:58.000
a novel virus
02:40:58.000 --> 02:40:59.000
that's what it is
02:40:59.000 --> 02:41:01.000
call it for what it is
02:41:01.000 --> 02:41:03.000
and the way that the faith isn't a lie
02:41:03.000 --> 02:41:05.000
and it is very different
02:41:05.000 --> 02:41:07.000
than saying that there are no viruses
02:41:07.000 --> 02:41:10.520
if you say that there was an endemic background that they conflated
02:41:10.520 --> 02:41:13.000
it is very different if you say the protocols are murder.
02:41:13.000 --> 02:41:15.000
and a transfection is not medicine
02:41:15.000 --> 02:41:17.000
and they conflated a background signal
02:41:17.000 --> 02:41:19.000
it is very different if you murder
02:41:19.000 --> 02:41:28.000
and a
02:41:28.000 --> 02:41:35.000
is in medicine, it's a bioweapon and protocols are murder. But you're not going to survive
02:41:35.000 --> 02:41:39.120
and you're not going to escape if you just say that there are no viruses and that they're
02:41:39.120 --> 02:41:45.080
lying about everything because they're not. There has to be some truth to the biology
02:41:45.080 --> 02:41:51.560
or biologists wouldn't have been fooled. But the truth has to be really, really clever
02:41:51.560 --> 02:41:58.240
lies. And that's what it is. It's infectious clones. The faith is a lie. There was a
02:41:58.240 --> 02:42:04.120
background signal and there remains a background signal that can be conflated as a pandemic.
02:42:04.120 --> 02:42:10.480
And if they had to release something or spray something or induce a signal, then the way
02:42:10.480 --> 02:42:14.760
they would have done it will most likely and most easily is with infectious clones or even
02:42:14.760 --> 02:42:22.040
transfection of the spike alone. But the faith in the novel virus is being sustained
02:42:22.040 --> 02:42:30.720
by all the people that we that we currently call heroes right now. And you can see them
02:42:30.720 --> 02:42:38.520
sustaining the faith because they don't address PCR fraud anymore. They don't address the
02:42:38.520 --> 02:42:43.960
variant and sequencing fraud anymore. They have never known about the death certificate
02:42:43.960 --> 02:42:51.160
fraud. They've never known about the RNA purity and the fact that it can't copy itself
02:42:51.160 --> 02:42:55.720
the way that this story goes. They haven't talked about the problems with protein folding
02:42:55.720 --> 02:43:00.680
and our inability to understand it in the implications for transfection. They haven't talked about
02:43:00.680 --> 02:43:05.320
transfection in general and it's inappropriate, mis and healthy humans. And they're not talking
02:43:05.320 --> 02:43:09.000
about natural immunity. They've never talked about immuno 101. They've never tried to
02:43:09.000 --> 02:43:16.360
give you a lecture about immuno 101. Giga ohm biological is the only one. Jonathan Cooey
02:43:16.360 --> 02:43:23.240
is the only biologist in three years that has attempted to teach immunology relative to this
02:43:23.240 --> 02:43:29.560
pandemic and to dispel the myths and the mythology of it using biology. I'm the only one.
02:43:31.160 --> 02:43:35.880
You want me to go down the list of people that hasn't done it that could have? It's long.
02:43:36.600 --> 02:43:44.360
Brett Weinstein didn't do it. Chris Martinson didn't do it. Heather Hayne didn't do it.
02:43:47.080 --> 02:43:52.680
Peter McCullough didn't do it. Brian Cole didn't do it. Peter McCory didn't do it.
02:43:53.240 --> 02:43:59.000
Robert Malone didn't do it. Judy Mikovitz hasn't done it.
02:43:59.000 --> 02:44:08.200
I mean, how far do we have to go? How many people do you want me to list? Because it's all of them.
02:44:09.320 --> 02:44:14.600
None of them have taught the biology of natural immunity. None of them have taught
02:44:15.640 --> 02:44:21.000
the extent to which transfection is wholly inappropriate for healthy humans. None of them
02:44:21.640 --> 02:44:28.200
have gone so far as to say that the vaccination schedule in America is a crime except for a very
02:44:28.200 --> 02:44:34.360
few Tess Laurie, Corey Pierre Corey and Peter McCullough.
02:44:38.680 --> 02:44:44.040
It is a very small group of people that is really fighting the fight right now and everybody else
02:44:44.040 --> 02:44:52.200
is faking it. Wittingly or unwittingly. And so you need to share my stream. You need to get this
02:44:52.280 --> 02:44:59.080
in front of all of them so that they can either wake up and apologize and course correct immediately
02:44:59.880 --> 02:45:04.040
or they are put on alert that we actually know who they are.
02:45:07.880 --> 02:45:12.840
Because I'm done playing games with my children's future. This is just starting,
02:45:12.840 --> 02:45:16.360
ladies and gentlemen. My voice is just coming back.
02:45:19.560 --> 02:45:23.720
And I plan to exercise it a lot over the next couple of weeks, three weeks,
02:45:23.720 --> 02:45:30.520
four weeks, five weeks, five months, a year. I ain't stopping until this is stopped. I'm not
02:45:30.520 --> 02:45:36.760
stopping until the elimination of the control group is stopped. I'm not stopping until everyone
02:45:36.760 --> 02:45:41.480
that is capable of understanding these two phrases understands them.
02:45:43.560 --> 02:45:45.160
Until these are common knowledge.
02:45:47.560 --> 02:45:53.720
Until it's common knowledge for a for a for an elementary school teacher to know this biology
02:45:53.720 --> 02:46:00.360
and to teach it. I'm going to be working here again to go biological. As long as CHD will have
02:46:00.360 --> 02:46:09.080
me, I'm going to be working for CHD because I think for the most part, although CHD would like
02:46:09.080 --> 02:46:19.320
to be a big top tent for health freedom. Health freedom is defined by this biology right here.
02:46:20.120 --> 02:46:25.640
That there is no useful way to augment the human immune system through intramuscular injection.
02:46:25.720 --> 02:46:35.480
And this, this criminally negligent bad idea and all of those responsible directly or indirectly
02:46:35.480 --> 02:46:41.960
for petri perpetuating it for the last 20 plus years are criminally negligent liable
02:46:43.640 --> 02:46:50.840
demons. And I'm going to spend the rest of my adult life teaching this biology until it's
02:46:50.840 --> 02:46:59.400
I'm blue in the face or dead. So welcome to the show. Welcome to the big show. That's where we are
02:46:59.400 --> 02:47:08.760
ladies and gentlemen. I believe it's much more likely if it's a lab lead. Stop lying. Stop lying.
02:47:09.720 --> 02:47:14.920
Stop lying. That's where we are ladies and gentlemen. Thanks very much for joining me and I will
02:47:14.920 --> 02:47:31.240
see you again tomorrow night. I hope you're aware and realize that I have no no equalizer here.
02:47:33.480 --> 02:47:39.080
There's no equalizer on my voice right now. This is just a it's a microphone that's actually
02:47:40.040 --> 02:47:44.040
a condenser microphone that's distant right it's supposed to have a direction.
02:47:45.480 --> 02:47:51.720
And so it's just a mic and my voice is really back. It feels stronger than ever. I can finally
02:47:51.720 --> 02:47:56.840
fill the gym during basketball practice and tell the boys what they're doing even when they're
02:47:56.840 --> 02:48:02.040
bouncing the ball. I basically have my old voice back and so I'm really really happy. I'm not
02:48:02.040 --> 02:48:07.480
going to be talking about it a lot anymore. But it was definitely worth taking the two weeks off
02:48:07.560 --> 02:48:14.040
that I did for the recovery of my voice and also just getting everything reoriented for the basketball
02:48:14.040 --> 02:48:18.760
season. And so there's going to be a little flexibility in terms of time but I'm either
02:48:18.760 --> 02:48:23.800
going to be basically going at about four forty five or five o'clock or I'm going to be going at
02:48:23.800 --> 02:48:29.240
about eight or eight thirty or nine o'clock. Just depending on the schedule at home I'm sorry
02:48:29.240 --> 02:48:33.880
but my priority is my family and so I am going to make it a priority to be here on daily but
02:48:34.440 --> 02:48:37.800
the give and take of that is that there's got to be a little flexibility in the
02:48:37.800 --> 02:48:42.520
schedule so you won't be able to always watch it live. But if you look for me every day you'll
02:48:42.520 --> 02:48:49.800
definitely find me. Thanks very much for joining me and I'll see you guys again tomorrow.