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There is no doubt that the science was

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such that,

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if they didn't know, they were purposefully being

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blind. You know? They they there's no way

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that they cared about people. There's no way

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that they wanted to apply methods to minimize

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harm.

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It it's the opposite. They wanted to apply

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methods

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to oppress

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and don't and and be dominant

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and impose their will on entire populations.

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That was the goal. It's easy for them

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to fund scientists to say that it's real.

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And it's easy for them for those results

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to be published in the top journals. They

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control everything. Okay? They they they control all

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the editors, all the journals. All the scientists

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are funded by them. All the scientists that

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don't wanna play ball,

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can't publish and lose their careers.

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They control everything.

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I would say that

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99%

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of medical trials nowadays have to be false.

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They're completely funded and controlled by the industry.

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Welcome to the last American Vagabond.

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Well, between

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2020 the end of 2022,

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the COVID 19 illusion dynamic,

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31,000,000

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in excess deaths estimated,

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about 17,000,000

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estimated due to the COVID 19 injections.

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So, where'd the other 14,000,000 go in that

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conversation?

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We've discussed a lot about the idea

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of the the COVID 19 time frame, the

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illusion therein, and the different ways you could

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mean that, whether these things were non existent,

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whether it was an illusion in regard to

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the repurposing of different parts of the the

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the data, the metrics.

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So, somebody who I feel has been on

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top of this conversation, I mean, more than

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just about anybody else is Denny Rancun. We've

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had him on more than once to discuss

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his kind of evolving research around this topic.

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Really kind of tip of the spear on

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this, around the idea of the all all

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cause mortality.

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Now he's got some really powerful research coming

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out around the idea of something he calls

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the rather what he frames in the study

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is biological stress induced transmissionless

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spontaneous bacterial pneumonia,

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essentially a self infection caused by environmental stress.

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And so he discusses this as one other

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aspect, if not the possible primary aspect of

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what was going on there. But I invited

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him back on to discuss all of this

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together,

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the illusion around this, the possible factors, and

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how it's all these together, the injections causing

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very clear death

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injury and so on in conjunction with repurposing

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of data, but also something that we may

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need may cause us to reevaluate how we

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view these things in general. This starts to

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come very close to the conversation, if not

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right in it, between terrain and germ theory.

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So, Denny, always good to have you on

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the show. How are you? Hey. It's a

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pleasure to be here. Pleasure to be back

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on your show, Ryan. I love it. Thanks

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for inviting me. Thanks for joining me again.

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I I really do think your work is

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is, you know,

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ahead of ahead of the curve around the

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idea of what these things are. And I

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was I was saying kinda off air before,

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what I the reason I respect your work

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so much and what you do is that

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you you don't shy away from

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pointing or or leaning into contentious conversations or

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or datasets even, you know, really, if it

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makes sense. I I mean, it's funny to

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even say that out loud because you'd think

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most people, that seems like that would just

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be the normal, but it's not. Most people

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today seem so afraid to step into certain

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conversations if they think it's contentious. So I

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just wanted to shout you out for that.

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So I I kinda wanted to start today

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with with this bigger picture.

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Right? So all these different parts, these moving

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parts around what what I argue kinda come

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together to be the COVID 19 illusion.

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But as as we've heard over this kind

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of evolving point, you know, some people think

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that it was not there at all. Right?

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There is no such thing as a virus,

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or if there was, it was not really

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there in the first place. Some people argue

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that the vaccine caused all the death, and

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it was, you know, just the illusion they're

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in. They were calling it something else. And

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then you were pointing out something new in

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all of this, which is more so a,

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you know, a kind of an evolving understanding

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of how the, I guess, germ versus terrain

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theory dynamic actually works. So these are different

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parts, but all come together, potentially, to cause

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what we're watching. And so the first part

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of it as I see it is sort

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of the the repurposing manufacturing

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illness, like the flu, pneumonia becoming COVID, the

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false PCR tests, the ventilators, remdesivir. Now these

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aren't necessarily in chronological order, but, ultimately, come

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together to kinda represent the category of the

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illusion, something else being done and then calling

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that COVID. Then you've got the psychological aspect,

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the lockdowns, the mandates, the the poor treatments.

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And then what you add is sort of

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a and I I wanna get into explaining

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this, the biological environmental reaction from your body

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and causing sort of a self infection.

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Then there were the injections that are obviously

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dangerous. And all those together, you know, combining

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them, it creates a picture of, obviously, something

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that is very damning, very dangerous.

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So let's start with, you know, the the

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first part of that in regard to repurposing

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manufacturing illness. You know? So is there,

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in your mind, a a COVID 19, SARS

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CoV 2, and or, you know, how do

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you where do you place in that conversation?

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Well, okay. Well, first of all, every everything

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that I all the hypotheses that I put

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forward and the conclusions that I come to

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as a scientist are based on hard data.

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What I mean is I go straight to

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the to the mortality.

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The all cause mortality, I feel, is the

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most reliable data you can have. It's been

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collected by nations for

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more than a century.

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And, it's legalistically

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they're legalistically bound to collect this data, and

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it should be of good quality. And you

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can test the quality by various measures and

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so on. So it's hard data, and that's

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what I generally have relied on. So the

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very first thing is there is no doubt

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that there was a lot of mortality way

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before the vaccines were rolled out. There was

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excess mortality

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in large amount

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before the vaccines were rolled out. So that,

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you can just you can just establish right

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off the bat. Anyone who says

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that mortality only started with the rollouts is

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simply wrong. It's incorrect to say that.

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Another example is that the the, all cause

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mortality, when you look at its, temporal and

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spatial dependence, which

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is

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mortality, when you look at its, temporal and

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spatial dependence, where this mortality was occurring and

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as a function of time by day or

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by week, when you look at that in

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detail, you can demonstrate

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unambiguously

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that there was

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nothing spreading. This was not

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a spreading

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cause of death or spreading pathogen. There was

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no spread

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in the sense

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of the epidemiological

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beliefs at the moment in in mainstream science.

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Okay? There was nothing spreading.

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And that is unambiguous

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because you get these hot spots of death,

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and the neighboring regions do not,

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experience the same hot spots of death. They

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their mortality does not increase,

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following those hot spots.

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And so there's no spread. And you can

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you can really see

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very distinct

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regions

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of high mortality

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that stop at a jurisdictional

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border. It's that simple. You know, county to

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county in the US or country to country

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in Europe or or

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subcountry region to subcountry region in Europe, they

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they they're they're delimited by these jurisdictional borders.

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In other words, what,

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local governments were doing

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in their,

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hospital environments, if you like, and what directives

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were being given. That determined the deaths at

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the beginning of, in 2020

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more than anything else, And it's very, very

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clear from these boundaries.

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So this was not,

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at all the model of a spreading pathogen

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that is a pandemic in the sense of

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a spreading pathogen.

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You can disprove that absolutely.

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And my very first paper on the subject

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looked at this hard data way back. It

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was published on the 2nd June 2020.

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And there I said, there is no spread.

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This is

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institutions and governments killing people by the measures,

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that they're applying, mostly in hospitals and so

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on. I was very clear. I spelled that

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out in that publication right away and showed

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the data that demonstrated that. Very real really

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quick question. Anyone that stands out in your

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mind as the as the top of that

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ventilators? What what do you think was the

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peak of that the wall? Well, the it

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it it's different in different jurisdictions. For example,

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but definitely,

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in Northern Italy and Milan region and also

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New York City, both of those,

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did heavy use of of mechanical ventilators. Yes.

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Very heavy. Like in Milan, they actually told

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people, don't just stay at home. Come straight

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into the hospital. We'll save you. And they

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developed,

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an improvement they considered where they could put

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2 people on one ventilator,

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and they were just putting everybody on ventilators.

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Now the ventilators

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are accompanied with,

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sedation,

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and sedation makes your breathing even worse.

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And the ventilators

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are known to be strongly associated with developing

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pneumonia.

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And at the same time, they there was

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a hesitancy to treat pneumonias because everyone was

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saying, oh, it's viral. It's viral. Don't you're

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you're being irresponsible as an MD or a

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hospital if you're overtreating with antibiotics.

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So there was withdrawal of antibiotics

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and these very dangerous techniques and sedation and

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so on. And together

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and and there was some also some, experimental

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drugs that were being used that were that

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were shown to be very, very deadly.

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And so, for example, in Germany, they weren't

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doing any of that,

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and there were no excess deaths at the

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beginning of 2020 in Germany after the pandemic

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was announced. None at all. It's just a

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flat line. Whereas in in the immediate regions

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that are bordering,

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Germany, like in France and Belgium and so

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on, you have these hot spots of death

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in in large hospitals.

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So, it it was very clear from the

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start.

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And,

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but, I mean, there

271
00:09:59,800 --> 00:10:02,759
are many different causes of excess death during

272
00:10:02,759 --> 00:10:03,980
the COVID period,

273
00:10:04,544 --> 00:10:06,865
and not every not everyone was doing the

274
00:10:06,865 --> 00:10:08,625
same thing. But there so there was a

275
00:10:08,625 --> 00:10:09,125
lot.

276
00:10:09,504 --> 00:10:11,424
And one of the one of the really

277
00:10:11,424 --> 00:10:13,684
important causes of death is,

278
00:10:14,705 --> 00:10:17,759
severe treatment of elderly and frail people. So

279
00:10:17,759 --> 00:10:20,340
isolating them is extremely deadly.

280
00:10:20,720 --> 00:10:23,940
And removing their usual routine, their usual,

281
00:10:24,800 --> 00:10:27,920
way that you give them, nourishment and also

282
00:10:27,920 --> 00:10:30,879
hydrate them and their care that they normally

283
00:10:30,879 --> 00:10:31,540
would have,

284
00:10:31,875 --> 00:10:33,174
All of that was disrupted,

285
00:10:33,715 --> 00:10:36,195
tremendously, and they were isolated and treat treated

286
00:10:36,195 --> 00:10:36,695
it,

287
00:10:37,154 --> 00:10:40,115
as a danger to themselves, between themselves, and

288
00:10:40,115 --> 00:10:43,254
so on. So that certainly would have contributed

289
00:10:43,634 --> 00:10:45,029
enormously to deaths,

290
00:10:45,750 --> 00:10:48,170
the frail people. So what was done in,

291
00:10:48,710 --> 00:10:51,269
care homes and hospitals to elderly and sick

292
00:10:51,269 --> 00:10:55,029
people was absolutely horrendous. It was a death

293
00:10:55,029 --> 00:10:56,009
machine, basically.

294
00:10:57,350 --> 00:10:59,110
And so that's what I would that's what

295
00:10:59,110 --> 00:10:59,430
I would,

296
00:11:00,149 --> 00:11:02,105
yeah, I I read a lot of reports

297
00:11:02,105 --> 00:11:03,705
about all these things, and that's how I

298
00:11:03,705 --> 00:11:06,665
would explain the mortality hotspots that we were,

299
00:11:07,384 --> 00:11:07,884
quantifying

300
00:11:08,264 --> 00:11:09,565
using all cause mortality.

301
00:11:10,105 --> 00:11:11,785
Yeah. And I think that's really important. So

302
00:11:11,785 --> 00:11:13,225
as just kind of the first part of

303
00:11:13,225 --> 00:11:15,450
this. Right? And we're I'm and we're gonna

304
00:11:15,450 --> 00:11:17,450
get into more of the germ terrain point

305
00:11:17,450 --> 00:11:19,450
later in this conversation. But just to start,

306
00:11:19,450 --> 00:11:22,090
whether whatever your position on whether these are

307
00:11:22,090 --> 00:11:24,570
possibly existing, the point he's making is that

308
00:11:24,570 --> 00:11:25,929
right there, you can see that it was

309
00:11:25,929 --> 00:11:27,769
not that prior to this time frame. So

310
00:11:27,769 --> 00:11:30,075
there was something else causing this spike in

311
00:11:30,075 --> 00:11:31,914
excess mortality. And so as you just clearly

312
00:11:31,914 --> 00:11:33,855
laid out right there, there's all these obvious,

313
00:11:34,235 --> 00:11:35,674
you know, I guess you could try to

314
00:11:35,674 --> 00:11:37,915
argue these aren't deliberate. I think it's I

315
00:11:37,915 --> 00:11:39,195
I mean, maybe you can comment on that.

316
00:11:39,195 --> 00:11:40,794
I think at some level, you can very

317
00:11:40,794 --> 00:11:43,040
clearly show that there was enough information at

318
00:11:43,040 --> 00:11:44,960
the higher levels to know that these things

319
00:11:44,960 --> 00:11:46,639
weren't working. I would even go a step

320
00:11:46,639 --> 00:11:47,919
further and say that in some cases, you

321
00:11:47,919 --> 00:11:49,440
could show that they knew they wouldn't work.

322
00:11:49,440 --> 00:11:50,799
But give me your thought on that. What

323
00:11:50,799 --> 00:11:52,240
level do you think that was sort of

324
00:11:52,240 --> 00:11:54,259
more than malfeasance and deliberate?

325
00:11:55,125 --> 00:11:56,264
Oh my. Well,

326
00:11:58,884 --> 00:12:01,384
look. The way I understand this is that

327
00:12:01,524 --> 00:12:03,945
there was a decision to have this military

328
00:12:04,085 --> 00:12:06,804
rollout on campaign, and it it was gonna

329
00:12:06,804 --> 00:12:08,879
happen in the western world no matter what.

330
00:12:09,120 --> 00:12:11,360
It was it was a top down decision.

331
00:12:11,360 --> 00:12:12,980
It was planned. It was executed.

332
00:12:13,519 --> 00:12:15,840
So none of the science or none of

333
00:12:15,840 --> 00:12:16,980
what they knew

334
00:12:17,360 --> 00:12:20,399
mattered whatsoever. It didn't matter. The only thing

335
00:12:20,399 --> 00:12:21,919
they were concerned about is,

336
00:12:22,695 --> 00:12:24,535
we don't want it to be too obvious.

337
00:12:24,535 --> 00:12:26,934
We don't want the backlash to stop us

338
00:12:26,934 --> 00:12:27,835
in our plan.

339
00:12:28,375 --> 00:12:28,774
So,

340
00:12:29,335 --> 00:12:32,774
you know, secondary effects from any medication are

341
00:12:32,774 --> 00:12:33,274
acceptable,

342
00:12:34,054 --> 00:12:35,674
and we control the propaganda.

343
00:12:35,975 --> 00:12:38,309
So we'll we'll get this through. You know?

344
00:12:38,870 --> 00:12:39,769
If the vaccine

345
00:12:40,629 --> 00:12:42,789
immediately killed 10% of the people that were

346
00:12:42,789 --> 00:12:44,629
injected, then the backlash would have been too

347
00:12:44,629 --> 00:12:47,110
much. So they had to have something that

348
00:12:47,110 --> 00:12:47,850
was not

349
00:12:48,389 --> 00:12:49,850
straight up deadly,

350
00:12:50,230 --> 00:12:51,370
incredible poison.

351
00:12:52,115 --> 00:12:54,034
But, but if there were deaths, it was

352
00:12:54,034 --> 00:12:55,975
not a problem if you could handle it.

353
00:12:56,355 --> 00:12:58,754
And so and they were following this every

354
00:12:58,754 --> 00:13:00,274
step of the way to make sure that

355
00:13:00,274 --> 00:13:01,735
the backlash would not,

356
00:13:02,434 --> 00:13:03,075
you know,

357
00:13:03,634 --> 00:13:06,240
disrupt their plans to roll out these vaccines.

358
00:13:06,240 --> 00:13:07,860
But it was definitely a plan.

359
00:13:08,720 --> 00:13:09,379
My understanding,

360
00:13:10,559 --> 00:13:13,459
from a social science kind of perspective is

361
00:13:13,679 --> 00:13:15,839
this was a there was a military goal

362
00:13:15,839 --> 00:13:18,259
here, which was to inject everyone.

363
00:13:19,514 --> 00:13:20,014
And,

364
00:13:20,554 --> 00:13:23,434
you wanna be you the vaccine the the

365
00:13:23,434 --> 00:13:25,695
way that the vaccine is a weapon is

366
00:13:26,235 --> 00:13:28,014
if a government or regime

367
00:13:28,634 --> 00:13:30,955
can inject whatever they want whenever they want

368
00:13:30,955 --> 00:13:33,680
into everybody's bodies, then that's the weapon right

369
00:13:33,680 --> 00:13:35,840
there. It doesn't matter what's in there. If

370
00:13:35,840 --> 00:13:37,600
you have that ability, then you have a

371
00:13:37,600 --> 00:13:40,080
weapon, a very powerful weapon that can be

372
00:13:40,080 --> 00:13:40,899
used to,

373
00:13:42,000 --> 00:13:43,139
immunize you

374
00:13:43,600 --> 00:13:44,100
or,

375
00:13:44,815 --> 00:13:46,335
prevent you you know, it can it can

376
00:13:46,335 --> 00:13:48,835
be prevention against another another,

377
00:13:49,774 --> 00:13:51,935
bioweapon that someone else is using. It can

378
00:13:51,935 --> 00:13:53,935
be all these there are all these military

379
00:13:53,935 --> 00:13:56,115
reasons why you would wanna be able to

380
00:13:56,175 --> 00:13:59,159
inject something into everybody's bodies. So they they

381
00:13:59,159 --> 00:14:01,100
definitely wanted to do that.

382
00:14:01,559 --> 00:14:03,179
Whether or not they believe

383
00:14:04,279 --> 00:14:07,019
what I think is largely the myth of,

384
00:14:08,279 --> 00:14:11,399
genetically engineering us to be more susceptible to

385
00:14:11,399 --> 00:14:13,240
things and so whether or not they believe

386
00:14:13,240 --> 00:14:15,495
that, I don't know. I don't know to

387
00:14:15,495 --> 00:14:16,634
what extent their

388
00:14:17,254 --> 00:14:17,754
their,

389
00:14:18,455 --> 00:14:18,955
scientific

390
00:14:20,534 --> 00:14:21,034
nonsophistication

391
00:14:21,815 --> 00:14:22,315
goes,

392
00:14:22,695 --> 00:14:25,014
but they certainly did want to inject us

393
00:14:25,014 --> 00:14:26,695
all. There's no doubt about that. And that

394
00:14:26,695 --> 00:14:29,014
in itself, the capacity to do that is

395
00:14:29,014 --> 00:14:29,595
a weapon.

396
00:14:30,639 --> 00:14:31,139
And,

397
00:14:31,679 --> 00:14:33,299
also, it is a way to,

398
00:14:34,399 --> 00:14:36,419
impose yourself as a dominant

399
00:14:36,720 --> 00:14:37,220
regime.

400
00:14:37,600 --> 00:14:39,440
In other words, if you can force the

401
00:14:39,440 --> 00:14:40,980
population to wear masks,

402
00:14:41,360 --> 00:14:42,100
to isolate,

403
00:14:42,485 --> 00:14:43,384
to not travel,

404
00:14:43,925 --> 00:14:46,884
to, and to be injected directly into your

405
00:14:46,884 --> 00:14:49,445
body, if you can do that and if

406
00:14:49,445 --> 00:14:50,904
you can develop the

407
00:14:51,285 --> 00:14:52,504
all of the institutional

408
00:14:52,805 --> 00:14:53,625
and propaganda

409
00:14:54,485 --> 00:14:57,660
mechanism to achieve that, then you have complete

410
00:14:57,660 --> 00:14:58,800
control of the population.

411
00:14:59,259 --> 00:15:01,340
And and and it's also a pretext to

412
00:15:01,340 --> 00:15:04,220
have complete surveillance as well. Right? So if

413
00:15:04,220 --> 00:15:06,059
you can achieve that, then you've got a

414
00:15:06,059 --> 00:15:07,120
level of control,

415
00:15:07,899 --> 00:15:09,740
a a quantum jump in the level of

416
00:15:09,740 --> 00:15:11,715
control all of a sudden just because you've

417
00:15:11,795 --> 00:15:12,855
done this campaign.

418
00:15:13,555 --> 00:15:15,394
And so I'm sure that that was a

419
00:15:15,394 --> 00:15:17,555
large part of the goal as well. But

420
00:15:17,555 --> 00:15:19,715
my point is that these were the types

421
00:15:19,715 --> 00:15:20,455
of motives.

422
00:15:20,835 --> 00:15:23,394
So whether or not this the stat you

423
00:15:23,394 --> 00:15:24,295
know, they recognize

424
00:15:24,675 --> 00:15:27,320
science was being applied or not is completely

425
00:15:27,940 --> 00:15:29,960
irrelevant. I mean, it was really well known

426
00:15:30,580 --> 00:15:31,059
that,

427
00:15:31,460 --> 00:15:32,759
isolation kills.

428
00:15:33,540 --> 00:15:35,160
That, your propensity

429
00:15:35,540 --> 00:15:36,100
to get,

430
00:15:36,580 --> 00:15:40,975
respiratory infections increases dramatically with the amount of

431
00:15:40,975 --> 00:15:43,074
stress that you're experiencing in your life

432
00:15:43,454 --> 00:15:46,254
and also the amount of social isolation that

433
00:15:46,254 --> 00:15:49,394
you're living in. These are huge factors, dominant

434
00:15:49,454 --> 00:15:52,595
factors for young people to get respiratory infections

435
00:15:52,654 --> 00:15:55,559
and this is extremely well known, extremely well

436
00:15:55,559 --> 00:15:56,059
studied.

437
00:15:56,600 --> 00:15:57,100
So,

438
00:15:57,480 --> 00:15:59,720
there there is no doubt that the science

439
00:15:59,720 --> 00:16:00,779
was such that,

440
00:16:01,800 --> 00:16:04,440
if they didn't know they were purposefully being

441
00:16:04,440 --> 00:16:07,315
blind, you know, they they there's no way

442
00:16:07,315 --> 00:16:09,394
that they cared about people. There's no way

443
00:16:09,394 --> 00:16:12,455
that they wanted to apply methods to minimize

444
00:16:12,595 --> 00:16:13,095
harm.

445
00:16:13,554 --> 00:16:15,875
It it's the opposite. They wanted to apply

446
00:16:15,875 --> 00:16:16,375
methods

447
00:16:16,914 --> 00:16:17,735
to oppress

448
00:16:18,434 --> 00:16:20,054
and and and be dominant

449
00:16:20,750 --> 00:16:23,889
and impose their will on entire populations.

450
00:16:24,350 --> 00:16:26,750
That was the goal. So the question about

451
00:16:26,750 --> 00:16:27,649
whether or not,

452
00:16:28,589 --> 00:16:30,750
the science they follow the science is is

453
00:16:30,750 --> 00:16:32,445
completely irrelevant, I think.

454
00:16:32,845 --> 00:16:34,365
Yeah. I mean, it's it's a great point.

455
00:16:34,365 --> 00:16:35,725
And, you know, and so what what you

456
00:16:35,725 --> 00:16:36,924
just touched on is what we're gonna get

457
00:16:36,924 --> 00:16:38,924
into in the next parts is the interesting

458
00:16:38,924 --> 00:16:39,424
dynamic

459
00:16:39,965 --> 00:16:40,544
of creating

460
00:16:40,924 --> 00:16:41,424
social,

461
00:16:41,725 --> 00:16:42,225
biological,

462
00:16:42,605 --> 00:16:45,424
psychological stress environments that then cause your body

463
00:16:45,899 --> 00:16:48,139
to create illness, essentially. Right? It's it's one

464
00:16:48,139 --> 00:16:49,360
of the ideas that we

465
00:16:50,059 --> 00:16:52,139
You see, I I I don't think they

466
00:16:52,139 --> 00:16:52,860
were trying

467
00:16:53,819 --> 00:16:55,819
the the the illness and even the death,

468
00:16:55,819 --> 00:16:57,980
I think, are side effects. I mean Mhmm.

469
00:16:58,059 --> 00:16:59,600
I know that a lot of,

470
00:17:01,019 --> 00:17:01,519
elite,

471
00:17:02,355 --> 00:17:05,154
have this idea and this theory in social

472
00:17:05,154 --> 00:17:05,974
science that

473
00:17:06,275 --> 00:17:08,375
less population is better for them

474
00:17:08,755 --> 00:17:10,835
and that they're it's unsafe to be living

475
00:17:10,835 --> 00:17:12,195
in a world where there's too many people

476
00:17:12,195 --> 00:17:13,954
because too many things can happen and so

477
00:17:13,954 --> 00:17:15,634
on. I know that they have that, and

478
00:17:15,634 --> 00:17:17,669
and they're serious about it. But at the

479
00:17:17,669 --> 00:17:18,649
same time,

480
00:17:19,029 --> 00:17:20,009
I don't think

481
00:17:20,789 --> 00:17:22,629
I think that the main thing here was

482
00:17:22,629 --> 00:17:24,629
to oppress and to inject

483
00:17:25,109 --> 00:17:28,230
Mhmm. And and that everything else, including death

484
00:17:28,230 --> 00:17:30,230
and illness, is is a side effect of

485
00:17:30,230 --> 00:17:32,875
that. That was the main driving force. Now

486
00:17:33,174 --> 00:17:36,295
that is the way that dominance hierarchies always

487
00:17:36,295 --> 00:17:38,394
function throughout history and in,

488
00:17:39,095 --> 00:17:42,535
social, groups of animals or people. You you

489
00:17:42,535 --> 00:17:43,035
dominate,

490
00:17:43,575 --> 00:17:44,394
you oppress,

491
00:17:44,809 --> 00:17:47,849
and that makes the the oppressed, the people,

492
00:17:47,849 --> 00:17:49,390
the underlings, if you like,

493
00:17:49,769 --> 00:17:50,509
more unhealthy,

494
00:17:51,289 --> 00:17:53,690
and it makes them die sooner, and it

495
00:17:53,690 --> 00:17:54,910
makes them die often.

496
00:17:55,289 --> 00:17:57,369
So that is that is just a a

497
00:17:57,369 --> 00:17:59,049
a rule of nature, if you like, that

498
00:17:59,049 --> 00:18:00,865
if if you're going to have a dominance

499
00:18:01,005 --> 00:18:01,505
hierarchy

500
00:18:01,884 --> 00:18:04,924
and if it's if it's particularly aggressive depending

501
00:18:04,924 --> 00:18:05,664
on the,

502
00:18:06,524 --> 00:18:07,585
broader environment

503
00:18:07,964 --> 00:18:10,284
or depending on its own internal dynamics when

504
00:18:10,284 --> 00:18:11,345
it becomes particularly

505
00:18:11,724 --> 00:18:12,224
violent,

506
00:18:12,580 --> 00:18:14,340
then there's gonna be more death. There's gonna

507
00:18:14,340 --> 00:18:16,420
be more illness of the people who are

508
00:18:16,420 --> 00:18:18,440
the underlings, if you'd like, who are being

509
00:18:18,500 --> 00:18:19,960
who are being more controlled.

510
00:18:20,420 --> 00:18:22,920
That is that's a that's a general historic

511
00:18:23,220 --> 00:18:26,019
feature. So there was that that aspect of

512
00:18:26,019 --> 00:18:27,720
it is not new.

513
00:18:28,195 --> 00:18:30,394
It's not new. If you say they wanna

514
00:18:30,394 --> 00:18:32,674
kill us, yeah, they always wanna kill us.

515
00:18:32,674 --> 00:18:35,234
They wanna kill us whenever they whenever they

516
00:18:35,234 --> 00:18:35,734
censor

517
00:18:36,434 --> 00:18:36,934
or,

518
00:18:37,634 --> 00:18:39,654
capture institutions to their benefit

519
00:18:39,955 --> 00:18:41,255
to be able to more control,

520
00:18:41,555 --> 00:18:42,535
reduce democracy,

521
00:18:43,250 --> 00:18:45,170
take away your rights. Whenever they do these

522
00:18:45,170 --> 00:18:46,549
things, they're killing you.

523
00:18:47,009 --> 00:18:47,990
They're making you,

524
00:18:48,450 --> 00:18:49,190
more oppressed

525
00:18:50,690 --> 00:18:52,450
and more sick more often. And when you

526
00:18:52,450 --> 00:18:54,289
do get sick, you get more sick. That

527
00:18:54,289 --> 00:18:55,190
is the main

528
00:18:55,730 --> 00:18:57,750
mechanism of ill health of individuals,

529
00:18:58,394 --> 00:18:59,295
is the

530
00:18:59,994 --> 00:19:01,055
is the stress

531
00:19:01,755 --> 00:19:04,955
that is the dominant stress that's applied within

532
00:19:04,955 --> 00:19:06,095
the dominance hierarchy.

533
00:19:06,634 --> 00:19:08,875
And the the special thing about humans is

534
00:19:08,875 --> 00:19:11,035
that the internal dynamics can be such that

535
00:19:11,035 --> 00:19:12,414
that can increase dramatically.

536
00:19:13,109 --> 00:19:14,490
So you have instabilities

537
00:19:14,869 --> 00:19:17,750
towards more of a fascism state, more of

538
00:19:17,750 --> 00:19:19,930
a totalitarian state. You have these internal

539
00:19:20,470 --> 00:19:20,970
instabilities

540
00:19:21,269 --> 00:19:23,910
where you you can slide into those types

541
00:19:23,910 --> 00:19:26,470
of environments, and then it becomes really dangerous

542
00:19:26,470 --> 00:19:27,210
for the individual

543
00:19:27,734 --> 00:19:30,234
And and health does decrease and so on.

544
00:19:30,295 --> 00:19:33,255
And that that there there there are, really

545
00:19:33,255 --> 00:19:36,154
good, theoretical papers that I've talked about previously

546
00:19:36,295 --> 00:19:39,335
about that, about how internally that happens and

547
00:19:39,335 --> 00:19:42,480
why why we move towards totalitarian states and

548
00:19:42,480 --> 00:19:43,759
so on and how you get out, how

549
00:19:43,759 --> 00:19:45,119
do you get back out of it, how

550
00:19:45,119 --> 00:19:46,960
you reset in the real sense of the

551
00:19:46,960 --> 00:19:47,460
population

552
00:19:48,799 --> 00:19:50,799
insisting that that we not go there, like,

553
00:19:50,799 --> 00:19:52,875
after a major war when they've been,

554
00:19:53,434 --> 00:19:55,375
when they've had enough kind of thing.

555
00:19:56,234 --> 00:19:58,255
So there's a lot written about this,

556
00:19:59,355 --> 00:20:01,835
but that is a general feature. So we

557
00:20:01,835 --> 00:20:04,234
just got to see that. It was just

558
00:20:04,234 --> 00:20:06,234
put in our faces suddenly, and so we

559
00:20:06,234 --> 00:20:08,414
noticed it more than we normally do.

560
00:20:08,819 --> 00:20:10,259
You see? Yeah. So

561
00:20:10,980 --> 00:20:12,259
I was and you make a good point

562
00:20:12,259 --> 00:20:13,779
in in one of your recent studies about

563
00:20:13,779 --> 00:20:16,099
that about the point, interestingly, that it's, like,

564
00:20:16,099 --> 00:20:18,179
selectively not applied to the human dynamic, where

565
00:20:18,179 --> 00:20:19,799
you can see that in all these different

566
00:20:19,859 --> 00:20:23,134
animal dynamics, but then not the the, you

567
00:20:23,134 --> 00:20:25,615
know, the what the whatever the academic circles

568
00:20:25,615 --> 00:20:27,294
are are not applying that logic in the

569
00:20:27,294 --> 00:20:28,734
context of what we just saw, which I

570
00:20:28,734 --> 00:20:29,714
find very telling.

571
00:20:30,335 --> 00:20:30,835
Actually,

572
00:20:31,294 --> 00:20:33,774
Derek wrote an article a while back called,

573
00:20:34,014 --> 00:20:36,210
here it's right here, the rise of authoritarianism

574
00:20:36,429 --> 00:20:38,589
from parasite stress theory to lockstep. And he

575
00:20:38,589 --> 00:20:40,269
references a study done, more than 1 by

576
00:20:40,269 --> 00:20:42,109
the way of the US government, about how

577
00:20:42,109 --> 00:20:43,649
they basically study how

578
00:20:44,109 --> 00:20:46,109
a pathogen of any kind, the threat of

579
00:20:46,109 --> 00:20:47,950
it. And they make a really clear point

580
00:20:47,950 --> 00:20:49,470
to make the argument that it doesn't even

581
00:20:49,470 --> 00:20:50,750
have to be a real threat. Just that

582
00:20:50,750 --> 00:20:52,725
the the threat alone, whether it exists or

583
00:20:52,725 --> 00:20:56,184
not, will drive populations to accept authoritarian governments.

584
00:20:56,404 --> 00:20:57,705
I found that really fascinating

585
00:20:58,244 --> 00:21:00,424
concept. Go ahead. Yes. Yeah.

586
00:21:00,884 --> 00:21:02,884
Yeah. That that that's an instrument that can

587
00:21:02,884 --> 00:21:05,125
be used for sure for sure. Any any

588
00:21:05,125 --> 00:21:05,625
any

589
00:21:06,109 --> 00:21:09,630
outside threat, invisible outside threat that you can

590
00:21:09,630 --> 00:21:11,390
that you can use to scare people,

591
00:21:11,789 --> 00:21:13,390
works great. You know? It can be any

592
00:21:13,390 --> 00:21:14,690
any number of things, including,

593
00:21:15,470 --> 00:21:17,230
an enemy that that wants to go to

594
00:21:17,230 --> 00:21:18,529
war with you or whatever.

595
00:21:20,214 --> 00:21:22,214
I make the point in in one of

596
00:21:22,214 --> 00:21:25,255
my recent large papers, which is a medical

597
00:21:25,255 --> 00:21:26,394
hypothesis paper,

598
00:21:26,775 --> 00:21:29,815
that there in my view, it appears that

599
00:21:29,815 --> 00:21:32,820
there has never been a pandemic in the

600
00:21:32,820 --> 00:21:34,839
sense of the spread of a pathogen

601
00:21:35,700 --> 00:21:36,839
ever in history.

602
00:21:37,220 --> 00:21:38,900
So if you if you look at the

603
00:21:38,900 --> 00:21:41,299
the large pandemics in history, and there's many.

604
00:21:41,299 --> 00:21:43,380
There's dozens and dozens of them that can

605
00:21:43,380 --> 00:21:45,725
be studied in detail. You can do forensic

606
00:21:45,725 --> 00:21:47,725
analysis of the skeletons. You can do all

607
00:21:47,725 --> 00:21:49,725
kinds of things. So these have been studied

608
00:21:49,725 --> 00:21:50,225
extensively.

609
00:21:50,684 --> 00:21:51,984
And if you look at these,

610
00:21:52,845 --> 00:21:53,904
what you will see

611
00:21:54,525 --> 00:21:56,785
is that a lot of people die

612
00:21:57,580 --> 00:21:58,160
at times

613
00:21:58,460 --> 00:22:01,119
when there are huge collapses within society,

614
00:22:01,580 --> 00:22:03,840
like in relation to large wars

615
00:22:04,460 --> 00:22:04,940
or,

616
00:22:05,420 --> 00:22:07,680
famines that are induced by,

617
00:22:08,539 --> 00:22:11,500
a meltdown of society that's induced by elite

618
00:22:11,500 --> 00:22:12,000
greed

619
00:22:12,615 --> 00:22:13,095
and,

620
00:22:13,575 --> 00:22:15,575
those kinds of things. So a meltdown of

621
00:22:15,575 --> 00:22:17,974
the financial system, which is brought on by

622
00:22:17,974 --> 00:22:18,474
greed,

623
00:22:19,255 --> 00:22:20,555
and and overexploitation

624
00:22:21,174 --> 00:22:22,954
and so on. These things,

625
00:22:24,055 --> 00:22:25,035
in every case,

626
00:22:25,970 --> 00:22:27,809
of a of a major pandemic, you see

627
00:22:27,809 --> 00:22:28,309
these,

628
00:22:28,690 --> 00:22:29,190
correlations.

629
00:22:29,970 --> 00:22:32,950
And sometimes it's environmental in the sense that

630
00:22:33,170 --> 00:22:35,330
there can be a drought, a very, very

631
00:22:35,330 --> 00:22:37,269
long you know, more than

632
00:22:37,570 --> 00:22:38,549
years of drought.

633
00:22:38,904 --> 00:22:41,384
And sometimes these droughts are brought on by

634
00:22:41,384 --> 00:22:43,005
huge volcanic explosions

635
00:22:43,865 --> 00:22:46,384
that simply diminish the amount of sunlight that

636
00:22:46,384 --> 00:22:48,265
that that that strikes the earth and gives

637
00:22:48,265 --> 00:22:49,325
you a bit of a,

638
00:22:49,865 --> 00:22:50,525
a small,

639
00:22:50,904 --> 00:22:52,505
a mini ice age and that kind of

640
00:22:52,505 --> 00:22:55,390
thing. You know? So there there are correlations

641
00:22:55,529 --> 00:22:56,990
between the large pandemics

642
00:22:57,609 --> 00:22:59,390
and large volcano eruptions,

643
00:23:00,250 --> 00:23:00,970
that that,

644
00:23:02,089 --> 00:23:04,109
and so there there there

645
00:23:04,410 --> 00:23:05,710
there are many ideas

646
00:23:06,009 --> 00:23:08,190
that suggest that or many observations

647
00:23:08,904 --> 00:23:10,125
that suggest that

648
00:23:10,505 --> 00:23:11,244
if you

649
00:23:12,105 --> 00:23:15,065
really disrupt the society at large in an

650
00:23:15,065 --> 00:23:16,204
important way,

651
00:23:17,865 --> 00:23:19,644
then a lot of people will die

652
00:23:20,585 --> 00:23:21,085
just

653
00:23:21,464 --> 00:23:24,349
from the stress of it, the biological stress,

654
00:23:24,349 --> 00:23:26,109
and the and, you know, they're not getting

655
00:23:26,109 --> 00:23:28,990
the nourishment they need. They're being harassed. They're

656
00:23:28,990 --> 00:23:29,490
being,

657
00:23:30,029 --> 00:23:31,329
pushed out of resources.

658
00:23:31,630 --> 00:23:33,950
They're being and they die. And when you

659
00:23:33,950 --> 00:23:35,329
look at the the,

660
00:23:35,950 --> 00:23:36,609
the great,

661
00:23:39,255 --> 00:23:41,654
the the black plague, okay, the the black

662
00:23:41,654 --> 00:23:44,154
death, the plague, when you look at that,

663
00:23:44,615 --> 00:23:46,795
scientists have studied it and they've looked at

664
00:23:47,015 --> 00:23:48,634
100 and 100 of skeletons.

665
00:23:49,174 --> 00:23:51,575
And what you notice and they you don't

666
00:23:51,575 --> 00:23:54,019
generally hear this, but the people who died

667
00:23:54,019 --> 00:23:55,799
were extremely undernourished

668
00:23:56,740 --> 00:23:57,480
and underdeveloped

669
00:23:57,940 --> 00:23:58,440
physically

670
00:23:59,220 --> 00:24:01,619
and had, you know, really bad teeth and

671
00:24:01,619 --> 00:24:02,339
really bad,

672
00:24:02,819 --> 00:24:04,519
skeletal structures and everything.

673
00:24:04,900 --> 00:24:07,240
They were the poorest of those societies.

674
00:24:08,305 --> 00:24:10,545
The wealthy did not die in the black

675
00:24:10,545 --> 00:24:13,184
plague. Okay? So and what you will find

676
00:24:13,184 --> 00:24:15,684
is that in all of these pandemics,

677
00:24:16,065 --> 00:24:17,605
including the recent one,

678
00:24:17,904 --> 00:24:18,805
it's not,

679
00:24:19,345 --> 00:24:19,845
wealthy

680
00:24:20,785 --> 00:24:23,159
people who die. It's the poor who die.

681
00:24:23,159 --> 00:24:25,079
1 of the one the strongest correlation that

682
00:24:25,079 --> 00:24:27,259
we found between excess mortality

683
00:24:27,880 --> 00:24:28,779
and a socioeconomic

684
00:24:29,079 --> 00:24:30,940
parameter in our study of the US

685
00:24:31,399 --> 00:24:33,799
on a county and state level is with

686
00:24:33,799 --> 00:24:34,299
poverty.

687
00:24:34,919 --> 00:24:36,779
If you were poor, you died.

688
00:24:37,565 --> 00:24:40,045
And, that correlates in turn with,

689
00:24:40,525 --> 00:24:41,025
obesity,

690
00:24:41,404 --> 00:24:41,904
diabetes.

691
00:24:43,244 --> 00:24:45,345
You know, it's co correlated with those things,

692
00:24:45,484 --> 00:24:48,545
and, also, it's co correlated with how many

693
00:24:48,605 --> 00:24:51,779
antibiotic prescriptions do you normally get. You know,

694
00:24:52,079 --> 00:24:55,839
poor people are prescribed antibiotics more often before

695
00:24:55,839 --> 00:24:56,339
COVID

696
00:24:56,720 --> 00:24:59,460
because they get respiratory diseases more often.

697
00:24:59,920 --> 00:25:02,259
And so there's a strong correlation there.

698
00:25:03,365 --> 00:25:04,884
And so they're used to getting it, and

699
00:25:04,884 --> 00:25:06,965
it was it it was denied to them

700
00:25:06,965 --> 00:25:07,785
during COVID.

701
00:25:08,085 --> 00:25:10,805
Antibiotics were not prescribed. The prescription rates went

702
00:25:10,805 --> 00:25:12,884
way down. They to half of what they

703
00:25:12,884 --> 00:25:15,945
normally are. So there are all these mechanisms

704
00:25:16,244 --> 00:25:17,065
that ensured

705
00:25:17,690 --> 00:25:19,069
that the elderly,

706
00:25:19,369 --> 00:25:21,069
the frail, and the poor

707
00:25:21,690 --> 00:25:22,910
were killed, basically.

708
00:25:23,369 --> 00:25:23,869
Right.

709
00:25:24,250 --> 00:25:26,250
And antibiotics would have been the appropriate treatment

710
00:25:26,250 --> 00:25:28,089
for, let's say, bacterial pneumonia if that was

711
00:25:28,089 --> 00:25:30,524
being treated. Absolutely. And one of the points

712
00:25:30,524 --> 00:25:33,024
I make in my articles is that Ivermectin

713
00:25:33,804 --> 00:25:36,605
is an extremely efficient antibiotic in the sense

714
00:25:36,605 --> 00:25:38,365
that it it it's really good at fighting

715
00:25:38,365 --> 00:25:41,085
bacterial infections of the lungs. Extremely good. There

716
00:25:41,085 --> 00:25:43,559
are scientific papers about this. So I I

717
00:25:43,559 --> 00:25:44,200
believe that,

718
00:25:44,759 --> 00:25:45,740
a lot of MDs

719
00:25:46,599 --> 00:25:47,559
thought they were,

720
00:25:47,880 --> 00:25:48,380
treating,

721
00:25:49,000 --> 00:25:50,919
a viral infection when, in fact, they were

722
00:25:50,919 --> 00:25:53,720
probably treating a bacterial infection, and that's what

723
00:25:53,720 --> 00:25:55,660
would have saved the lives of these people.

724
00:25:56,005 --> 00:25:57,525
Interesting. Yeah. So we're gonna come back to

725
00:25:57,525 --> 00:25:58,804
2 main points on that. Before we do,

726
00:25:58,804 --> 00:26:00,804
though, I wanna just quickly touch on the

727
00:26:00,804 --> 00:26:02,724
interesting overlap to a couple things we were

728
00:26:02,724 --> 00:26:04,025
highlighting right there. But,

729
00:26:04,404 --> 00:26:06,325
I mean, just the the introduction of the

730
00:26:06,325 --> 00:26:08,325
newer report let's just put it this way.

731
00:26:08,325 --> 00:26:09,144
The the beginning

732
00:26:09,580 --> 00:26:11,039
time frame in all this, 2020,

733
00:26:11,580 --> 00:26:12,799
it was almost, like,

734
00:26:13,500 --> 00:26:15,900
come the the the conversation was shut down

735
00:26:15,900 --> 00:26:18,299
around any suggestion that this might have been

736
00:26:18,299 --> 00:26:20,859
a bioweapon, come from a lab, any, any

737
00:26:20,859 --> 00:26:22,299
number of other things. And this is whether

738
00:26:22,299 --> 00:26:23,660
or not you believe these things are even

739
00:26:23,660 --> 00:26:25,375
capable of being, you know, real. The point

740
00:26:25,375 --> 00:26:27,934
is that from a government and info information

741
00:26:27,934 --> 00:26:29,695
perspective, it was shut down. Now all of

742
00:26:29,695 --> 00:26:31,535
a sudden, we have a new congressional report

743
00:26:31,535 --> 00:26:33,214
saying that they're concluding that it's coming from

744
00:26:33,214 --> 00:26:35,134
a lab. So one how do you fit

745
00:26:35,134 --> 00:26:37,634
that into this conversation? Is that more psychological

746
00:26:37,934 --> 00:26:38,434
manipulation?

747
00:26:38,734 --> 00:26:39,690
You know? Go ahead.

748
00:26:40,569 --> 00:26:41,069
Yes.

749
00:26:42,490 --> 00:26:43,389
Okay. So

750
00:26:44,009 --> 00:26:46,970
my work shows that this was not a

751
00:26:46,970 --> 00:26:47,950
spreading pathogen.

752
00:26:48,409 --> 00:26:49,710
Mhmm. So it's irrelevant

753
00:26:50,569 --> 00:26:52,569
that you wanna propose that it was made

754
00:26:52,569 --> 00:26:54,250
in a lab or not. There was no

755
00:26:54,250 --> 00:26:55,629
pathogen that was spreading.

756
00:26:56,065 --> 00:26:58,805
The deaths were not related to something spreading

757
00:26:59,505 --> 00:27:00,005
unambiguously.

758
00:27:00,545 --> 00:27:03,045
That's a hard fact. So it doesn't matter.

759
00:27:03,585 --> 00:27:05,605
And and, also, there's no evidence

760
00:27:06,545 --> 00:27:08,164
of a virulent pathogen.

761
00:27:08,640 --> 00:27:10,820
All the deaths are highly correlated

762
00:27:11,200 --> 00:27:13,380
to how you were killing people directly

763
00:27:14,320 --> 00:27:15,839
by the stress and by how you were

764
00:27:15,839 --> 00:27:17,920
treating them and the treatments you were denying

765
00:27:17,920 --> 00:27:20,339
to them. That's what that's what did it.

766
00:27:20,400 --> 00:27:20,900
So

767
00:27:21,365 --> 00:27:22,904
I think that,

768
00:27:23,365 --> 00:27:26,244
this whole bio lab leak thing is a

769
00:27:26,244 --> 00:27:29,045
diversion. It it it's I whether it's intended

770
00:27:29,045 --> 00:27:31,285
or not, I don't care. It from my

771
00:27:31,285 --> 00:27:31,785
perspective,

772
00:27:32,085 --> 00:27:34,184
it's it's essentially irrelevant.

773
00:27:34,849 --> 00:27:37,670
Now it's true that the government has biolabs.

774
00:27:37,809 --> 00:27:40,529
It's true that they think about and design

775
00:27:40,529 --> 00:27:43,570
and get patents for bioweapons and things like

776
00:27:43,570 --> 00:27:44,070
that,

777
00:27:44,609 --> 00:27:47,349
but it's irrelevant in terms of the,

778
00:27:48,755 --> 00:27:50,615
deaths that occurred during COVID.

779
00:27:50,994 --> 00:27:54,595
Interesting. Yeah. So you can believe that it

780
00:27:54,595 --> 00:27:57,154
would be nice to have a virus that

781
00:27:57,154 --> 00:28:00,035
you genetically designed that might do exactly what

782
00:28:00,035 --> 00:28:01,714
you want to do. You can believe all

783
00:28:01,714 --> 00:28:03,529
that, but it it did not play a

784
00:28:03,529 --> 00:28:04,029
role

785
00:28:04,490 --> 00:28:06,410
in the in the deaths here, in my

786
00:28:06,410 --> 00:28:09,930
view. Right. So so that's that's just just

787
00:28:10,009 --> 00:28:11,930
I've been I've been saying from the beginning,

788
00:28:11,930 --> 00:28:14,089
that's just irrelevant. You know? Right. Well and

789
00:28:14,089 --> 00:28:15,525
and you made your point clear already that

790
00:28:15,765 --> 00:28:17,845
you just the or the beginning point before

791
00:28:17,845 --> 00:28:20,085
vaccines were introduced, the timeframe between that, you

792
00:28:20,085 --> 00:28:22,164
can see the all cause mortality that doesn't

793
00:28:22,164 --> 00:28:23,684
correlate with the spreading. And I I was

794
00:28:23,684 --> 00:28:26,164
gonna say earlier, there's a there's multiple examples

795
00:28:26,164 --> 00:28:27,924
that you referenced, I believe, at least one

796
00:28:27,924 --> 00:28:29,464
of them that showed

797
00:28:29,960 --> 00:28:32,039
undefinable like, Iran was an example where there

798
00:28:32,039 --> 00:28:33,480
was a all of a sudden, you saw

799
00:28:33,480 --> 00:28:35,720
this outbreak of something they claim was different,

800
00:28:35,720 --> 00:28:37,480
and they were unable to connect it to

801
00:28:37,480 --> 00:28:39,559
any other aspect of it. So it's points

802
00:28:39,559 --> 00:28:41,079
like that that show that there's something just

803
00:28:41,079 --> 00:28:42,920
all of a sudden sporadically happening within the

804
00:28:42,920 --> 00:28:45,704
country. In in the study that we're continuing

805
00:28:45,704 --> 00:28:47,704
and also in papers that we've already written,

806
00:28:47,704 --> 00:28:50,044
you can really see clearly that, for example,

807
00:28:50,825 --> 00:28:53,544
in Northern Italy, the Milan region had this

808
00:28:53,544 --> 00:28:54,924
huge spike of deaths.

809
00:28:55,304 --> 00:28:56,845
Oh, by the way, these spikes

810
00:28:57,144 --> 00:28:58,125
occurred only

811
00:28:58,559 --> 00:29:00,880
immediately after the pandemic was declared by the

812
00:29:00,880 --> 00:29:01,940
World Health Organization.

813
00:29:02,399 --> 00:29:04,079
And there were no there was no excess

814
00:29:04,079 --> 00:29:05,539
death anywhere in the world

815
00:29:05,839 --> 00:29:08,799
until you declared a pandemic, which is crazy

816
00:29:08,799 --> 00:29:10,960
because in in the model of a spreading

817
00:29:10,960 --> 00:29:11,460
pathogen,

818
00:29:12,275 --> 00:29:15,075
the there's way more randomness than that. And

819
00:29:15,075 --> 00:29:16,214
the pathogens are

820
00:29:16,755 --> 00:29:17,255
initially

821
00:29:17,714 --> 00:29:20,434
in the in in the population way before

822
00:29:20,434 --> 00:29:22,454
you decide to declare a pandemic.

823
00:29:22,755 --> 00:29:25,075
And depending on the region and what's happening,

824
00:29:25,075 --> 00:29:27,390
you're going to have excess deaths if in

825
00:29:27,509 --> 00:29:30,150
within that model. So just just the fact

826
00:29:30,150 --> 00:29:33,109
that there was absolutely no excess deaths until

827
00:29:33,109 --> 00:29:34,950
they declared the pandemic, within a week or

828
00:29:34,950 --> 00:29:36,809
so of that declaration, let's say,

829
00:29:37,190 --> 00:29:39,509
is already should should give you an indication

830
00:29:39,509 --> 00:29:42,654
that this was completely fabricated in that sense.

831
00:29:42,654 --> 00:29:45,134
Right? Yeah. But the other thing is that

832
00:29:45,134 --> 00:29:47,615
some people will say, well, Milan had deaths

833
00:29:47,615 --> 00:29:51,054
because the the this potent virus was flown

834
00:29:51,054 --> 00:29:51,554
in,

835
00:29:52,095 --> 00:29:54,990
from from China, from Wuhan. Right? And New

836
00:29:54,990 --> 00:29:56,349
York, same thing. And it must have been

837
00:29:56,349 --> 00:29:58,509
a flight that seeded it. Right? Mhmm. Well,

838
00:29:58,509 --> 00:30:00,430
there's a couple of problems with that. One

839
00:30:00,430 --> 00:30:00,930
is,

840
00:30:02,430 --> 00:30:05,230
Rome has more flights to China and bigger

841
00:30:05,230 --> 00:30:07,869
airport than the Milan region and did not

842
00:30:07,869 --> 00:30:10,130
have any excess mortality in that period.

843
00:30:10,634 --> 00:30:11,134
Okay?

844
00:30:11,755 --> 00:30:12,575
Same country.

845
00:30:13,195 --> 00:30:16,075
Right. It wasn't it wasn't doing what Milan

846
00:30:16,075 --> 00:30:18,394
was doing, and it didn't have this peak

847
00:30:18,394 --> 00:30:20,654
of excess deaths. In the United States,

848
00:30:21,115 --> 00:30:23,035
you have large airports in New York, but

849
00:30:23,035 --> 00:30:25,349
you also have large airports in LA and

850
00:30:25,349 --> 00:30:26,089
San Francisco,

851
00:30:26,950 --> 00:30:29,369
and they get way more flights from Asia.

852
00:30:29,829 --> 00:30:32,710
And there were absolutely no deaths at the

853
00:30:32,710 --> 00:30:34,789
beginning after the there was there was there

854
00:30:34,789 --> 00:30:36,869
wasn't that peak of deaths that you had

855
00:30:36,869 --> 00:30:39,029
in New York. So there are many, many

856
00:30:39,029 --> 00:30:41,494
examples like this where you can you can

857
00:30:41,494 --> 00:30:43,595
show that these that these comparison,

858
00:30:44,214 --> 00:30:44,714
regions

859
00:30:45,335 --> 00:30:47,494
are the same in terms of number of

860
00:30:47,494 --> 00:30:50,315
poor, number of hospital beds, number of everything,

861
00:30:50,855 --> 00:30:52,694
but one had a spike of deaths and

862
00:30:52,694 --> 00:30:54,075
the other didn't. Okay?

863
00:30:54,630 --> 00:30:55,130
Mhmm.

864
00:30:55,430 --> 00:30:57,990
So it was very granular where where the

865
00:30:57,990 --> 00:30:59,670
deaths were going to occur, and it was

866
00:30:59,670 --> 00:31:01,990
always related to what they were doing, the

867
00:31:01,990 --> 00:31:04,089
policies that they applied. Okay?

868
00:31:04,630 --> 00:31:07,190
So that's the point there. So so where

869
00:31:07,190 --> 00:31:08,570
was I going with this?

870
00:31:09,794 --> 00:31:11,335
You you asked me,

871
00:31:11,875 --> 00:31:13,394
what what what was the question again? I

872
00:31:13,634 --> 00:31:14,994
yeah. I was I was just gonna bring

873
00:31:14,994 --> 00:31:16,434
this into the next in part because so

874
00:31:16,434 --> 00:31:18,134
here one of this is, your study

875
00:31:18,595 --> 00:31:19,075
entitled,

876
00:31:19,714 --> 00:31:21,474
in in junction with others as well, nature

877
00:31:21,474 --> 00:31:23,220
of the COVID era public health disaster in

878
00:31:23,220 --> 00:31:25,539
the USA from all cause mortality and socio

879
00:31:25,539 --> 00:31:27,400
geoeconomic and climate climatic

880
00:31:28,420 --> 00:31:30,579
data. And so the main point on this

881
00:31:30,579 --> 00:31:31,700
that I think is the same, you know,

882
00:31:31,700 --> 00:31:33,299
same things we were just discussing, but it

883
00:31:33,299 --> 00:31:35,640
comes to the idea of, you know, misdiagnosed

884
00:31:35,859 --> 00:31:38,785
bacterial pneumonia deaths. The idea of the the

885
00:31:38,785 --> 00:31:40,404
large COVA era USA

886
00:31:40,785 --> 00:31:43,265
pneumonia epidemic that is not mentioned, you know,

887
00:31:43,265 --> 00:31:44,464
the the hiding of all this. And so

888
00:31:44,464 --> 00:31:46,085
I wanted to bring this into that idea

889
00:31:46,224 --> 00:31:49,265
around, 1st and foremost, the idea of just

890
00:31:49,265 --> 00:31:50,865
bacterial pneumonia. And I want your thoughts on

891
00:31:50,865 --> 00:31:52,950
this before we get into the other studies

892
00:31:52,950 --> 00:31:54,869
you've highlighted around, you know, what we're dealing

893
00:31:54,869 --> 00:31:56,869
with here. Well, actually before that, but this

894
00:31:56,869 --> 00:31:59,429
point about the bacterial pneumonia in general. So

895
00:31:59,429 --> 00:32:00,789
what we're gonna talk about is the idea

896
00:32:00,789 --> 00:32:02,809
of a self induced sort of transmissionless

897
00:32:03,429 --> 00:32:06,105
idea that you're talking about, like environmentally caused.

898
00:32:06,105 --> 00:32:07,544
But do you think there's an overlap to

899
00:32:07,544 --> 00:32:09,565
that with things like, say, the masks? Because,

900
00:32:09,865 --> 00:32:12,025
James Lyons Wyler, who I've interviewed more than

901
00:32:12,025 --> 00:32:13,625
once, he argued early in this, and I

902
00:32:13,625 --> 00:32:16,025
agree that the mask itself was a large

903
00:32:16,025 --> 00:32:17,565
factor in causing

904
00:32:17,944 --> 00:32:20,399
the obvious oral thrush, the overlap with that

905
00:32:20,399 --> 00:32:22,319
causing bacterial pneumonia in the lungs, and so

906
00:32:22,319 --> 00:32:23,759
on. Do you think that that was part

907
00:32:23,759 --> 00:32:24,960
of it as well before we get into

908
00:32:24,960 --> 00:32:26,819
the Well idea go ahead.

909
00:32:27,519 --> 00:32:30,720
I can't I can't disprove that. I I

910
00:32:30,720 --> 00:32:33,139
I studied the scientific literature quite extensively

911
00:32:33,599 --> 00:32:34,659
about pneumonia

912
00:32:35,865 --> 00:32:37,164
and also masks.

913
00:32:38,265 --> 00:32:41,164
You don't need masks to get a surge

914
00:32:41,305 --> 00:32:43,404
in in, bacterial pneumonias.

915
00:32:43,945 --> 00:32:47,305
There were epidemics in care homes forever, you

916
00:32:47,305 --> 00:32:49,384
know, ever since we've documented, ever since we've

917
00:32:49,384 --> 00:32:50,365
had care homes.

918
00:32:50,730 --> 00:32:52,190
And they happen spontaneously,

919
00:32:52,890 --> 00:32:53,789
and they happen

920
00:32:54,250 --> 00:32:57,869
as a result of, highly stressful environmental conditions.

921
00:32:58,490 --> 00:33:01,150
And they don't have to spread. They just

922
00:33:01,369 --> 00:33:01,869
spontaneously

923
00:33:02,250 --> 00:33:04,569
happen in to several people within the same

924
00:33:04,569 --> 00:33:06,644
care home, but there's no evidence that that

925
00:33:06,644 --> 00:33:07,784
that there is spread.

926
00:33:08,244 --> 00:33:11,224
So you can't find any evidence of spread,

927
00:33:11,524 --> 00:33:14,724
except there are some papers that convincingly show

928
00:33:14,724 --> 00:33:15,944
that tuberculosis

929
00:33:16,644 --> 00:33:17,704
probably spreads.

930
00:33:18,140 --> 00:33:20,059
For example, there's some really good,

931
00:33:20,539 --> 00:33:22,620
well designed studies that show that if you

932
00:33:22,620 --> 00:33:23,120
have,

933
00:33:23,740 --> 00:33:26,779
tuberculosis infected sick people in a hospital room

934
00:33:26,779 --> 00:33:28,140
and you take the air out of the

935
00:33:28,140 --> 00:33:30,160
hospital room and and blow it into

936
00:33:30,535 --> 00:33:32,795
a laboratory room where you have susceptible

937
00:33:33,174 --> 00:33:36,315
animals, they will get they will get TB,

938
00:33:36,775 --> 00:33:39,414
classic TB symptoms and everything and and get

939
00:33:39,414 --> 00:33:41,015
very sick. So that's kind of what you're

940
00:33:41,015 --> 00:33:42,075
getting at is the intersection.

941
00:33:43,069 --> 00:33:44,349
Like, the that's what I'm kinda getting at

942
00:33:44,349 --> 00:33:45,950
is the intersection of those two things. So

943
00:33:45,950 --> 00:33:47,509
I think it's important that, you know, there

944
00:33:47,630 --> 00:33:48,990
you're so in your mind that there is

945
00:33:48,990 --> 00:33:50,910
the possibility that something could spread and catch,

946
00:33:50,910 --> 00:33:52,349
you're just simply saying that's not what you

947
00:33:52,430 --> 00:33:55,250
I I I I believe that it's possible

948
00:33:55,309 --> 00:33:56,049
that bacterial,

949
00:33:56,589 --> 00:33:57,089
pneumonia

950
00:33:57,390 --> 00:33:58,049
can spread,

951
00:33:58,694 --> 00:34:00,315
especially TB where it's,

952
00:34:00,855 --> 00:34:02,214
you know, there's been a lot of work

953
00:34:02,214 --> 00:34:03,815
and it there's been a lot of concern

954
00:34:03,815 --> 00:34:04,794
about the spread.

955
00:34:05,174 --> 00:34:08,614
Mhmm. But there's way way more frequent that

956
00:34:08,614 --> 00:34:09,835
it's simply spontaneous.

957
00:34:10,534 --> 00:34:11,034
Interesting.

958
00:34:11,550 --> 00:34:12,910
I find I mean, I think this is

959
00:34:13,230 --> 00:34:14,930
oh, go ahead. Go ahead. Yeah. Yeah.

960
00:34:15,390 --> 00:34:18,369
There's a whole area of science that studies,

961
00:34:18,750 --> 00:34:20,769
these spontaneous bacterial infections,

962
00:34:21,869 --> 00:34:23,250
and they're and they're transmissionless.

963
00:34:23,789 --> 00:34:24,530
They basically

964
00:34:25,204 --> 00:34:26,585
are induced by,

965
00:34:28,005 --> 00:34:28,505
aspiration.

966
00:34:28,965 --> 00:34:30,965
That is you you take in a bit

967
00:34:30,965 --> 00:34:33,364
of fluid from your digestive system into your

968
00:34:33,364 --> 00:34:35,304
lungs, and that's enough to,

969
00:34:36,804 --> 00:34:37,304
destabilize

970
00:34:37,925 --> 00:34:38,664
the microbiome

971
00:34:39,045 --> 00:34:41,500
of bacteria within your lungs that you will

972
00:34:41,500 --> 00:34:42,480
develop pneumonia.

973
00:34:42,940 --> 00:34:45,099
So this this happens irrespective. You can be

974
00:34:45,099 --> 00:34:47,500
in isolation, and it'll happen to you. Okay?

975
00:34:47,500 --> 00:34:49,760
Interesting. So you could be very careful

976
00:34:50,380 --> 00:34:53,660
about isolating elderly people, do everything, and wear

977
00:34:53,660 --> 00:34:55,280
masks and gloves and everything,

978
00:34:55,594 --> 00:34:56,974
and they will get pneumonia

979
00:34:57,594 --> 00:34:58,094
because

980
00:34:58,635 --> 00:34:59,375
they will,

981
00:34:59,994 --> 00:35:03,534
have aspiration problems, especially since you've changed everything.

982
00:35:03,994 --> 00:35:05,054
And aspiration

983
00:35:05,755 --> 00:35:08,394
is increased. The the probability of aspiration is

984
00:35:08,394 --> 00:35:11,099
increased if you if you obstruct the breathing.

985
00:35:11,099 --> 00:35:13,260
So a mask would probably work in that

986
00:35:13,260 --> 00:35:14,239
way, you see.

987
00:35:15,900 --> 00:35:17,920
I mentioned that in my paper.

988
00:35:18,539 --> 00:35:21,179
You don't want to obstruct the breathing and

989
00:35:21,179 --> 00:35:24,105
you don't want to disrupt people's lives and

990
00:35:24,105 --> 00:35:26,684
cause them a biological stress because

991
00:35:27,065 --> 00:35:30,605
aspiration becomes more frequent and spontaneous pneumonia follows,

992
00:35:30,664 --> 00:35:32,204
especially among the elderly.

993
00:35:32,905 --> 00:35:33,405
So,

994
00:35:34,664 --> 00:35:36,364
I I have proposed

995
00:35:36,985 --> 00:35:37,485
that

996
00:35:38,099 --> 00:35:38,599
basically

997
00:35:39,140 --> 00:35:41,619
all the respiratory deaths, there was definitely an

998
00:35:41,619 --> 00:35:45,059
excess of respiratory deaths during COVID, happened before

999
00:35:45,059 --> 00:35:46,760
vaccination and after vaccination,

1000
00:35:47,300 --> 00:35:50,280
and that they could all they're all consistent

1001
00:35:50,500 --> 00:35:51,320
with the idea

1002
00:35:51,714 --> 00:35:52,614
that they were,

1003
00:35:53,315 --> 00:35:54,214
self infections

1004
00:35:54,514 --> 00:35:55,014
induced

1005
00:35:55,554 --> 00:35:57,335
by all the various forms

1006
00:35:57,635 --> 00:36:01,255
that are that that would cause biological stress.

1007
00:36:02,355 --> 00:36:04,355
So let let's talk about just that itself.

1008
00:36:04,355 --> 00:36:05,875
So for people who don't I've never heard

1009
00:36:05,875 --> 00:36:08,150
this before because this this is something that

1010
00:36:08,369 --> 00:36:10,049
only in the context of, like, the terrain

1011
00:36:10,049 --> 00:36:11,569
overlap, which we can get into next, have

1012
00:36:11,569 --> 00:36:13,569
I heard something in this kind of vein.

1013
00:36:13,569 --> 00:36:14,849
So for those that have never heard this

1014
00:36:14,849 --> 00:36:15,969
and don't know what it is or maybe

1015
00:36:15,969 --> 00:36:18,210
think it's not possible, explain what the self

1016
00:36:18,210 --> 00:36:19,670
infecting or tran transmissionless,

1017
00:36:21,664 --> 00:36:23,025
go ahead. I'm just trying to frame it

1018
00:36:23,025 --> 00:36:23,525
correctly.

1019
00:36:23,984 --> 00:36:25,045
Okay. Well, listen.

1020
00:36:25,744 --> 00:36:28,005
There's no doubt that bacteria are real.

1021
00:36:28,304 --> 00:36:30,005
Mhmm. There's no doubt

1022
00:36:30,464 --> 00:36:30,964
that

1023
00:36:31,744 --> 00:36:34,304
I I think there's no reasonable doubt that

1024
00:36:34,304 --> 00:36:34,804
if

1025
00:36:36,050 --> 00:36:38,849
you have a lot of nasty bacteria that

1026
00:36:38,849 --> 00:36:40,630
have decided to take advantage

1027
00:36:41,250 --> 00:36:42,230
of your situation,

1028
00:36:42,849 --> 00:36:45,329
they can they can kill you. They it

1029
00:36:45,329 --> 00:36:47,329
can prevent your breathing and you will die.

1030
00:36:47,329 --> 00:36:50,864
Okay? I think there's there's what happens is

1031
00:36:51,025 --> 00:36:52,324
okay. Historically,

1032
00:36:54,305 --> 00:36:56,324
we have 3 major microbiomes.

1033
00:36:57,344 --> 00:36:58,724
1 is on our skin.

1034
00:36:59,664 --> 00:37:00,164
So

1035
00:37:00,465 --> 00:37:01,925
you get a cut or something,

1036
00:37:02,230 --> 00:37:04,390
the bacteria on your skin can take advantage

1037
00:37:04,390 --> 00:37:05,769
of that. You can get an infection.

1038
00:37:06,230 --> 00:37:07,369
Well, you know, historically,

1039
00:37:07,910 --> 00:37:10,090
animals and including people,

1040
00:37:10,469 --> 00:37:12,570
the main cause of death is infection.

1041
00:37:13,670 --> 00:37:16,070
Okay? And it's typically related to an injury

1042
00:37:16,070 --> 00:37:16,890
from a fight

1043
00:37:17,235 --> 00:37:20,195
or survival mode fight or, you know, defending

1044
00:37:20,195 --> 00:37:22,695
yourself, whatever. So so, historically,

1045
00:37:22,994 --> 00:37:26,135
people didn't live that long. The average age

1046
00:37:26,275 --> 00:37:26,775
typically

1047
00:37:27,635 --> 00:37:30,150
was 30 ish, you know, and you died

1048
00:37:30,150 --> 00:37:32,550
of infection. Now there's a lot of different

1049
00:37:32,550 --> 00:37:34,949
ways to get infection, and the three main

1050
00:37:34,949 --> 00:37:35,929
places are

1051
00:37:36,309 --> 00:37:37,289
through your skin,

1052
00:37:39,670 --> 00:37:41,050
your respiratory tract,

1053
00:37:41,525 --> 00:37:44,664
and your gut, the the the digestive system.

1054
00:37:45,204 --> 00:37:46,585
There's a a complex

1055
00:37:46,885 --> 00:37:47,385
microbiome,

1056
00:37:48,164 --> 00:37:49,785
meaning all these different,

1057
00:37:51,204 --> 00:37:51,704
biota,

1058
00:37:52,164 --> 00:37:55,760
including fungus, bacteria, you name it, that live

1059
00:37:55,760 --> 00:37:57,599
in your gut and in your in your

1060
00:37:57,599 --> 00:37:59,920
lungs. Your lungs are not sterile at any

1061
00:37:59,920 --> 00:38:03,380
time. They're just they're a living, breathing microbiome.

1062
00:38:03,840 --> 00:38:04,980
Okay? Now,

1063
00:38:05,519 --> 00:38:07,780
the the the the theory of the microbiomes

1064
00:38:08,719 --> 00:38:09,539
is that,

1065
00:38:11,434 --> 00:38:13,855
this this the this collection

1066
00:38:14,235 --> 00:38:17,135
of microbes of different species and so on,

1067
00:38:17,515 --> 00:38:19,835
it it's in a balance that depends on

1068
00:38:19,835 --> 00:38:22,074
its environment, that depends on what you're breathing,

1069
00:38:22,074 --> 00:38:23,994
how you're breathing, what your health status is

1070
00:38:23,994 --> 00:38:26,289
like, and so on. And that balance can

1071
00:38:26,289 --> 00:38:26,789
be

1072
00:38:27,329 --> 00:38:29,269
out of whack by various circumstances.

1073
00:38:29,889 --> 00:38:31,750
One of the main ones being stress,

1074
00:38:32,210 --> 00:38:35,409
biological stress. Okay? So you're being attacked. You're

1075
00:38:35,409 --> 00:38:38,210
being threatened. You're you're you're afraid for your

1076
00:38:38,210 --> 00:38:39,750
life, all these kinds of things.

1077
00:38:40,155 --> 00:38:42,094
And that can put your microbiome

1078
00:38:42,954 --> 00:38:45,195
out of balance to the point where it

1079
00:38:45,195 --> 00:38:46,094
will kill you.

1080
00:38:46,554 --> 00:38:47,855
Right. And so,

1081
00:38:48,474 --> 00:38:51,114
that's what a self infection is. The thing

1082
00:38:51,114 --> 00:38:53,880
is you have every bacterium you can imagine

1083
00:38:53,880 --> 00:38:55,800
in the universe in your lungs and in

1084
00:38:55,800 --> 00:38:58,059
your gut. There's everything there.

1085
00:38:58,760 --> 00:39:00,139
So to clarify real quickly

1086
00:39:00,679 --> 00:39:03,500
on that, so is the point that ultimately

1087
00:39:03,559 --> 00:39:05,960
you're still being infected by a pathogen, but

1088
00:39:05,960 --> 00:39:07,734
it's just coming from internal? Or is it

1089
00:39:07,734 --> 00:39:09,335
that it's a different dynamic

1090
00:39:09,815 --> 00:39:10,315
necessarily

1091
00:39:11,014 --> 00:39:13,994
a pathogen. It Mhmm. It's typically a collection

1092
00:39:14,054 --> 00:39:16,234
of pathogens. It's a it's a bunch of

1093
00:39:16,295 --> 00:39:17,974
it's a bunch of ones that are getting

1094
00:39:17,974 --> 00:39:20,295
the upper hand within their environment, which happens

1095
00:39:20,295 --> 00:39:21,275
to be your lungs,

1096
00:39:21,880 --> 00:39:23,880
and they're doing what they do, and they're

1097
00:39:23,880 --> 00:39:25,400
taking advantage of it. It's not like they

1098
00:39:25,400 --> 00:39:26,679
have a brain where they decide to do

1099
00:39:26,679 --> 00:39:29,079
this, but they just develop that way. And

1100
00:39:29,079 --> 00:39:31,019
it prevents you from breathing and you die.

1101
00:39:32,359 --> 00:39:34,920
So that that's the idea. And the same

1102
00:39:34,920 --> 00:39:37,684
for your gut. Now, historically, there was not

1103
00:39:37,684 --> 00:39:38,744
just the microbiomes.

1104
00:39:39,045 --> 00:39:40,585
There were parasites as well.

1105
00:39:41,045 --> 00:39:43,864
Now, thankfully, we've gotten rid of most parasites

1106
00:39:43,925 --> 00:39:46,565
because but they're horrible things. People have lived

1107
00:39:46,565 --> 00:39:47,305
with parasites,

1108
00:39:48,005 --> 00:39:50,219
you know, on their skin, in their gut,

1109
00:39:50,300 --> 00:39:52,400
even in their lungs, parasites everywhere.

1110
00:39:53,579 --> 00:39:54,639
And because of,

1111
00:39:55,099 --> 00:39:56,639
cleanliness and good nutrition

1112
00:39:57,019 --> 00:39:57,519
relatively

1113
00:39:57,900 --> 00:39:59,599
compared to historically, I mean,

1114
00:40:00,300 --> 00:40:03,099
in in large societies, nutrition was very bad

1115
00:40:03,099 --> 00:40:03,599
because

1116
00:40:04,094 --> 00:40:05,155
the the dominant,

1117
00:40:05,534 --> 00:40:07,135
people that were in charge would give you

1118
00:40:07,135 --> 00:40:08,815
just the cheapest food and all that kind

1119
00:40:08,815 --> 00:40:10,275
of stuff. Right? So

1120
00:40:10,974 --> 00:40:13,534
so we've gotten rid you can see death

1121
00:40:13,534 --> 00:40:14,034
rates.

1122
00:40:15,375 --> 00:40:17,215
The best data is since the 2nd World

1123
00:40:17,215 --> 00:40:19,375
War, but even before, since 1900, you can

1124
00:40:19,375 --> 00:40:21,530
see death rates from everything just

1125
00:40:21,910 --> 00:40:24,630
dropping and dropping and dropping. And that's largely

1126
00:40:24,630 --> 00:40:25,930
because of, cleanliness

1127
00:40:26,630 --> 00:40:27,690
and better nutrition.

1128
00:40:28,309 --> 00:40:30,090
And so you're you're way

1129
00:40:30,469 --> 00:40:33,289
more able to defend yourself against these parasites,

1130
00:40:33,894 --> 00:40:36,075
and you're way more stable against

1131
00:40:36,454 --> 00:40:38,155
imbalances of your microbiomes.

1132
00:40:38,614 --> 00:40:40,934
And you therefore, you don't get killed by

1133
00:40:40,934 --> 00:40:43,755
these things, which are the main killers historically.

1134
00:40:44,855 --> 00:40:47,835
Okay? That's what's going on. Nothing to do

1135
00:40:48,300 --> 00:40:50,320
with medical science improving.

1136
00:40:50,780 --> 00:40:51,760
Nothing to do

1137
00:40:52,059 --> 00:40:52,539
with,

1138
00:40:52,860 --> 00:40:53,360
vaccines,

1139
00:40:53,900 --> 00:40:54,960
being developed.

1140
00:40:56,380 --> 00:40:58,559
Antibiotics are very useful because

1141
00:40:59,099 --> 00:41:01,199
they give you the tool to intervene

1142
00:41:02,059 --> 00:41:03,760
when you have such an imbalance

1143
00:41:04,275 --> 00:41:07,234
regarding, your body, and you would normally could

1144
00:41:07,234 --> 00:41:08,914
have a good chance of dying from that

1145
00:41:08,914 --> 00:41:09,414
infection.

1146
00:41:09,954 --> 00:41:11,594
We'll we'll call it an infection, but it

1147
00:41:11,635 --> 00:41:14,295
we understand it's not one single pathogen,

1148
00:41:14,674 --> 00:41:16,835
and it's a complex process going on in

1149
00:41:16,835 --> 00:41:17,489
your body.

1150
00:41:17,809 --> 00:41:20,070
Well, the the antibiotic treatment

1151
00:41:20,610 --> 00:41:21,349
is like,

1152
00:41:21,889 --> 00:41:23,730
is like a shotgun. It just kills

1153
00:41:24,289 --> 00:41:25,909
preferentially kills all the micro,

1154
00:41:26,610 --> 00:41:29,170
biota and gives you a chance to kinda

1155
00:41:29,170 --> 00:41:31,425
have a reset in your body. And then

1156
00:41:31,425 --> 00:41:32,625
you have a good chance of,

1157
00:41:33,505 --> 00:41:35,105
you know, it it puts a stop to

1158
00:41:35,105 --> 00:41:36,405
that that very

1159
00:41:37,105 --> 00:41:38,724
fatal blow, if you like,

1160
00:41:39,265 --> 00:41:41,125
and allows you to recover.

1161
00:41:41,505 --> 00:41:42,485
So most people,

1162
00:41:42,945 --> 00:41:45,809
in our modern societies have experienced having a

1163
00:41:46,050 --> 00:41:46,550
terrible

1164
00:41:47,170 --> 00:41:49,010
infection that they've really felt they were gonna

1165
00:41:49,010 --> 00:41:50,550
die, and they have this incredible

1166
00:41:50,930 --> 00:41:52,230
sore throat or whatever.

1167
00:41:52,610 --> 00:41:54,789
And as soon as they start taking antibiotics,

1168
00:41:54,849 --> 00:41:57,030
they feel almost immediate relief.

1169
00:41:57,410 --> 00:41:59,809
And it's just from it's just from that,

1170
00:42:00,585 --> 00:42:01,085
immediate,

1171
00:42:02,264 --> 00:42:05,704
interaction. So I think antibiotics are extremely useful

1172
00:42:05,704 --> 00:42:07,864
and powerful drugs, and they're trying to remove

1173
00:42:07,864 --> 00:42:09,244
them from us.

1174
00:42:09,625 --> 00:42:11,065
Why are they trying to remove them? They're

1175
00:42:11,065 --> 00:42:13,829
they're saying that we get habituated to them,

1176
00:42:13,829 --> 00:42:15,429
and therefore, we have to stop using them.

1177
00:42:15,429 --> 00:42:16,730
It's just it's just crazy.

1178
00:42:17,269 --> 00:42:19,289
They're they're saying that there's resistance

1179
00:42:19,670 --> 00:42:21,750
bugs now. Well, that's your fault because of

1180
00:42:21,750 --> 00:42:22,969
what you're doing in hospitals.

1181
00:42:23,510 --> 00:42:23,989
Right.

1182
00:42:24,469 --> 00:42:25,690
But they they

1183
00:42:26,045 --> 00:42:28,765
they don't have patents for better antibiotics, and

1184
00:42:28,765 --> 00:42:30,525
they're not gonna get them because we already

1185
00:42:30,525 --> 00:42:33,265
have pretty much the best antibiotics including Ivermectin.

1186
00:42:33,885 --> 00:42:35,985
So there's no money to be made there.

1187
00:42:36,045 --> 00:42:37,965
So let's get rid of antibiotics because we

1188
00:42:37,965 --> 00:42:39,885
don't want we we we wanna be able

1189
00:42:39,885 --> 00:42:41,105
to have other cures

1190
00:42:41,489 --> 00:42:44,050
that we can convince people, to use and

1191
00:42:44,050 --> 00:42:45,809
to buy at a very high price and

1192
00:42:45,809 --> 00:42:48,210
so on. So I think there's a war

1193
00:42:48,210 --> 00:42:49,909
going on regarding antibiotics,

1194
00:42:50,530 --> 00:42:51,269
right now.

1195
00:42:51,570 --> 00:42:52,550
That is interesting.

1196
00:42:53,090 --> 00:42:55,484
Yeah. Yeah. It does. And of course, for

1197
00:42:55,484 --> 00:42:57,565
the podcast cures and and major air quotes,

1198
00:42:57,565 --> 00:42:59,405
in case you didn't hear that. The the

1199
00:42:59,405 --> 00:43:01,085
point being though is that this is interesting.

1200
00:43:01,085 --> 00:43:01,724
So let's

1201
00:43:02,125 --> 00:43:03,824
to bring it back to the idea of

1202
00:43:03,964 --> 00:43:07,405
the so self infection, the transmission list bacterial

1203
00:43:07,405 --> 00:43:10,750
pneumonia being caused by environmental issues. So the

1204
00:43:10,750 --> 00:43:12,030
the studies on the screen for those in

1205
00:43:12,030 --> 00:43:15,150
the podcast, medical hypothesis, respiratory epidemics, and pandemics

1206
00:43:15,150 --> 00:43:17,710
without viral transmission. So where so you place

1207
00:43:17,710 --> 00:43:19,650
this as, to put on a fine point,

1208
00:43:19,710 --> 00:43:21,869
the large this is the predominant aspect of

1209
00:43:21,869 --> 00:43:23,970
what we went through between 20 2023.

1210
00:43:24,644 --> 00:43:26,164
So on top of that, though, you do

1211
00:43:26,164 --> 00:43:29,204
argue that the vaccine itself was obviously deadly

1212
00:43:29,204 --> 00:43:29,945
and obviously

1213
00:43:30,324 --> 00:43:32,005
is part of this. So where would you

1214
00:43:32,164 --> 00:43:33,224
so give me a, like,

1215
00:43:33,605 --> 00:43:35,364
a a percentage breakdown, if you will, for

1216
00:43:35,364 --> 00:43:36,724
how you think that plays out. Before I

1217
00:43:36,724 --> 00:43:39,000
answer that question, I just wanna conclude that

1218
00:43:39,639 --> 00:43:40,860
everything you need

1219
00:43:41,400 --> 00:43:43,559
to cause your death is already in your

1220
00:43:43,559 --> 00:43:44,059
body.

1221
00:43:44,840 --> 00:43:47,239
Right. So it's a clarifying the vaccine didn't

1222
00:43:47,239 --> 00:43:48,840
have to be brought in for this to

1223
00:43:48,840 --> 00:43:50,679
still look the same way in regard to

1224
00:43:50,679 --> 00:43:52,864
the illusion of the pandemic being called SARS

1225
00:43:52,864 --> 00:43:54,724
CoV-two. If you if you

1226
00:43:55,105 --> 00:43:56,164
roll out vaccines,

1227
00:43:56,945 --> 00:43:59,184
and by rollout, it's a military style, you

1228
00:43:59,184 --> 00:44:01,105
know, you're gonna be vaccinated. We're gonna hold

1229
00:44:01,105 --> 00:44:02,545
you down if we need to, basically. We're

1230
00:44:02,545 --> 00:44:05,204
gonna coerce you. You've already been isolated.

1231
00:44:05,660 --> 00:44:08,219
You're already treated like you're a danger to

1232
00:44:08,219 --> 00:44:11,019
society, and we're a danger to you. We're

1233
00:44:11,019 --> 00:44:13,200
doing these all these horrible things. We're disrupting

1234
00:44:13,500 --> 00:44:15,519
everything about your life in this institution

1235
00:44:15,900 --> 00:44:17,119
when we come in to

1236
00:44:17,420 --> 00:44:19,840
prioritize that we're rolling out this vaccine.

1237
00:44:20,385 --> 00:44:22,565
That event, that rollout of a booster

1238
00:44:23,105 --> 00:44:24,804
is extremely traumatic

1239
00:44:25,265 --> 00:44:27,905
and will cause enormous amounts of death just

1240
00:44:27,905 --> 00:44:30,065
from the stress of all that. All all

1241
00:44:30,065 --> 00:44:32,724
the denied treatments, all the denied care,

1242
00:44:33,230 --> 00:44:35,389
all the and in addition, when you come

1243
00:44:35,389 --> 00:44:37,789
out to roll out these vaccines, you're also

1244
00:44:37,789 --> 00:44:39,489
testing to see if people

1245
00:44:40,109 --> 00:44:42,510
actively have COVID right now. As soon as

1246
00:44:42,510 --> 00:44:43,569
you test positive,

1247
00:44:44,109 --> 00:44:46,269
then you they double down on all these

1248
00:44:46,269 --> 00:44:49,385
measures. They isolate you even more or, you

1249
00:44:49,385 --> 00:44:50,765
know, it it just becomes,

1250
00:44:52,265 --> 00:44:53,724
a death causing prison.

1251
00:44:54,344 --> 00:44:55,144
And I have,

1252
00:44:55,704 --> 00:44:58,364
talked to witnesses who have survived this.

1253
00:44:59,304 --> 00:45:01,144
It really is like being put in a

1254
00:45:01,144 --> 00:45:04,170
concentration camp. It's really horrendous. They just wanna

1255
00:45:04,170 --> 00:45:06,570
escape for their lives if they're healthy enough

1256
00:45:06,570 --> 00:45:08,250
to get away. You know? Yeah.

1257
00:45:08,730 --> 00:45:11,710
So it's it's a very nasty thing. So,

1258
00:45:13,369 --> 00:45:16,244
you're now with regards to the vaccine, there

1259
00:45:16,244 --> 00:45:18,724
is absolutely no doubt that the vaccine has

1260
00:45:18,724 --> 00:45:21,605
an intrinsic toxicity. It it will kill some

1261
00:45:21,605 --> 00:45:22,105
people,

1262
00:45:22,885 --> 00:45:23,864
depending on,

1263
00:45:24,964 --> 00:45:27,144
the the accident of the injection,

1264
00:45:28,889 --> 00:45:32,109
the your your everything about your complex biology,

1265
00:45:32,569 --> 00:45:34,489
you know, it will kill some people and

1266
00:45:34,489 --> 00:45:37,530
by many different mechanisms, no doubt. And the

1267
00:45:37,530 --> 00:45:40,250
interesting thing about this congressional report is that

1268
00:45:40,250 --> 00:45:42,485
they clearly one of the one of the

1269
00:45:42,485 --> 00:45:44,105
positive points of this propaganda

1270
00:45:44,405 --> 00:45:47,204
instrument, which is this congressional report, is that

1271
00:45:47,204 --> 00:45:47,945
they clearly

1272
00:45:48,565 --> 00:45:49,065
admit

1273
00:45:49,445 --> 00:45:52,085
that the vaccine causes death. They even have

1274
00:45:52,085 --> 00:45:53,305
a graph on page

1275
00:45:54,164 --> 00:45:54,664
351

1276
00:45:54,965 --> 00:45:55,465
here,

1277
00:45:57,530 --> 00:45:58,030
that

1278
00:45:58,570 --> 00:46:01,789
shows COVID vaccine deaths worldwide,

1279
00:46:02,969 --> 00:46:05,050
and they admit in the graph that it's

1280
00:46:05,050 --> 00:46:06,110
almost 40,000.

1281
00:46:06,489 --> 00:46:08,489
You see? So they're admitting it, and they're

1282
00:46:08,489 --> 00:46:09,390
giving a number.

1283
00:46:09,835 --> 00:46:11,775
And this is in the official

1284
00:46:12,235 --> 00:46:13,295
congressional report.

1285
00:46:13,675 --> 00:46:15,135
So that's a that's a positive.

1286
00:46:15,434 --> 00:46:17,394
So there's no doubt. I mean, there there

1287
00:46:17,515 --> 00:46:20,715
there's a detailed autopsy studies, now dozens and

1288
00:46:20,715 --> 00:46:23,719
dozens of them. There's there's I think the

1289
00:46:23,719 --> 00:46:27,079
last count was there's over 4,000 scientific articles

1290
00:46:27,079 --> 00:46:29,639
that describe the adverse effects of vaccines. I

1291
00:46:29,639 --> 00:46:32,139
mean, good god. You know? Like, they definitely

1292
00:46:32,679 --> 00:46:34,440
we're we're talking just deaths here, but they

1293
00:46:34,440 --> 00:46:36,764
definitely cause harm. We all

1294
00:46:37,065 --> 00:46:39,485
probably I know personally many people

1295
00:46:40,105 --> 00:46:43,085
who are young men who developed heart conditions

1296
00:46:43,144 --> 00:46:45,545
after being vaccinated, who can't even shovel their

1297
00:46:45,545 --> 00:46:48,105
drive anymore and and can't do the the

1298
00:46:48,105 --> 00:46:50,025
vigorous running or exercise that they used to

1299
00:46:50,025 --> 00:46:52,179
do or anything like that. So we we

1300
00:46:52,179 --> 00:46:53,800
we know these people. We know

1301
00:46:54,179 --> 00:46:55,559
the heart the the myocarditis

1302
00:46:55,860 --> 00:46:58,440
is a huge thing, and it's been

1303
00:46:58,739 --> 00:47:01,300
written about scientifically extensively. So there is no

1304
00:47:01,300 --> 00:47:01,800
doubt

1305
00:47:02,179 --> 00:47:04,739
that the vaccine is a toxic substance that

1306
00:47:04,739 --> 00:47:06,199
can cause death and

1307
00:47:06,525 --> 00:47:09,405
extreme medical harm. There's no doubt about that.

1308
00:47:09,405 --> 00:47:09,905
But

1309
00:47:10,924 --> 00:47:13,585
the the number of deaths worldwide

1310
00:47:14,284 --> 00:47:17,184
that are temporally associated with these rollouts

1311
00:47:18,204 --> 00:47:18,944
is huge.

1312
00:47:19,449 --> 00:47:21,289
Mhmm. We calculate we were the ones who

1313
00:47:21,289 --> 00:47:22,190
calculated it.

1314
00:47:22,489 --> 00:47:22,989
17,000,000.

1315
00:47:24,170 --> 00:47:25,869
That's a lot of deaths.

1316
00:47:26,329 --> 00:47:27,469
And it's

1317
00:47:28,250 --> 00:47:29,469
that many deaths

1318
00:47:29,929 --> 00:47:30,670
would be

1319
00:47:31,210 --> 00:47:31,710
impossible

1320
00:47:32,170 --> 00:47:34,410
using propaganda to hide if they were happening

1321
00:47:34,410 --> 00:47:36,704
immediately and as a direct result of the

1322
00:47:36,704 --> 00:47:37,204
vaccines.

1323
00:47:37,664 --> 00:47:39,984
They have to be elderly people that are

1324
00:47:39,984 --> 00:47:42,324
dying in circumstances that I described

1325
00:47:42,784 --> 00:47:43,764
for it to

1326
00:47:44,144 --> 00:47:45,764
be kind of admissible

1327
00:47:46,065 --> 00:47:48,065
in the in the public eye and that

1328
00:47:48,065 --> 00:47:49,764
you can cover it up. You see?

1329
00:47:50,224 --> 00:47:50,964
And so

1330
00:47:52,409 --> 00:47:54,969
the the but what really made me change

1331
00:47:54,969 --> 00:47:58,269
my mind about prioritizing as a hypothesis

1332
00:47:58,730 --> 00:48:01,550
that the vaccine was directly causing these 17,000,000

1333
00:48:01,849 --> 00:48:04,574
deaths versus something else, What really did it

1334
00:48:04,574 --> 00:48:06,255
for me, and I described this in my

1335
00:48:06,255 --> 00:48:07,394
most recent paper,

1336
00:48:07,695 --> 00:48:10,275
is that there are now studies coming out.

1337
00:48:10,974 --> 00:48:12,735
A few of them are out already, and

1338
00:48:12,735 --> 00:48:14,335
we have that kind of data that we're

1339
00:48:14,335 --> 00:48:15,235
also analyzing

1340
00:48:15,869 --> 00:48:17,730
where people look at all cause mortality

1341
00:48:18,109 --> 00:48:20,509
but where you know the vaccination status of

1342
00:48:20,509 --> 00:48:21,809
the person who died.

1343
00:48:22,670 --> 00:48:24,750
So of of the deaths that you know

1344
00:48:24,750 --> 00:48:27,230
about that are documented in your all cause

1345
00:48:27,230 --> 00:48:27,730
mortality,

1346
00:48:28,109 --> 00:48:29,170
you know the vaccination

1347
00:48:29,469 --> 00:48:31,755
status of those people. So you know whether

1348
00:48:31,755 --> 00:48:32,974
or not they were vaccinated,

1349
00:48:33,594 --> 00:48:35,275
and you know how long ago they were

1350
00:48:35,275 --> 00:48:37,674
vaccinated. You there's a lot of detail in

1351
00:48:37,674 --> 00:48:40,315
in the databases that we're studying now. There's

1352
00:48:40,315 --> 00:48:42,315
a lot of detail. And what we're seeing

1353
00:48:42,315 --> 00:48:43,694
and what others have seen

1354
00:48:43,994 --> 00:48:44,734
is that

1355
00:48:45,400 --> 00:48:47,880
there is not the this these huge spikes

1356
00:48:47,880 --> 00:48:50,360
that are associated with the rollouts are not

1357
00:48:50,360 --> 00:48:52,300
all due to people who have been vaccinated.

1358
00:48:52,760 --> 00:48:53,739
Far from it.

1359
00:48:54,119 --> 00:48:56,840
They're they're they're, like, equal amounts. So the

1360
00:48:56,840 --> 00:48:58,059
elderly are dying

1361
00:49:00,385 --> 00:49:02,704
in association with the rollout, whether they've been

1362
00:49:02,704 --> 00:49:05,905
vaccinated or not. And don't forget, the most

1363
00:49:05,905 --> 00:49:07,985
frail and the most close to death do

1364
00:49:07,985 --> 00:49:11,184
not get vaccinated. That's against the protocols. That's

1365
00:49:11,184 --> 00:49:14,164
against the the policies. You don't vaccinate someone.

1366
00:49:14,329 --> 00:49:16,250
You don't you don't challenge the body of

1367
00:49:16,250 --> 00:49:18,190
someone who's near death. Okay?

1368
00:49:18,650 --> 00:49:19,389
And so

1369
00:49:20,329 --> 00:49:22,969
as a result, there's slightly more people who

1370
00:49:22,969 --> 00:49:25,070
are vaccinated who die during those

1371
00:49:25,769 --> 00:49:26,909
during those rollouts.

1372
00:49:27,684 --> 00:49:28,184
So

1373
00:49:28,885 --> 00:49:32,025
confronted with that data, which is reliable data,

1374
00:49:32,164 --> 00:49:34,885
which we've gone to and examined and tested

1375
00:49:34,885 --> 00:49:35,545
and everything,

1376
00:49:37,444 --> 00:49:39,684
I have to admit that it's that these

1377
00:49:39,684 --> 00:49:40,184
17,000,000

1378
00:49:40,484 --> 00:49:43,230
are not directly due to immediate toxicity for

1379
00:49:43,230 --> 00:49:43,890
vaccine. And

1380
00:49:44,429 --> 00:49:45,890
so you start asking yourself,

1381
00:49:46,670 --> 00:49:48,130
you say, but, Denis, wait.

1382
00:49:48,510 --> 00:49:50,130
They're temporally associated.

1383
00:49:50,590 --> 00:49:53,410
The the the correlation in time is immediate.

1384
00:49:53,469 --> 00:49:54,289
It's incredible.

1385
00:49:54,750 --> 00:49:56,474
You look at, you know, you look at

1386
00:49:56,474 --> 00:49:58,154
Australia, you see a peak of rollout of

1387
00:49:58,154 --> 00:50:00,074
a booster and you see an immediate peak

1388
00:50:00,074 --> 00:50:02,795
of deaths directly associated of the same width

1389
00:50:02,795 --> 00:50:04,894
and so on. You see that in Israel.

1390
00:50:05,114 --> 00:50:07,434
You see that in the in the, I

1391
00:50:07,434 --> 00:50:09,674
think it was 17 countries in the southern

1392
00:50:09,674 --> 00:50:10,174
hemisphere.

1393
00:50:10,849 --> 00:50:13,489
Virtually every time that there's a rollout, there's

1394
00:50:13,489 --> 00:50:14,630
a burst of death.

1395
00:50:15,090 --> 00:50:17,250
And so you say, well, the these the

1396
00:50:17,250 --> 00:50:19,650
the associations in time are so stunning, so

1397
00:50:19,650 --> 00:50:20,869
striking, so convincing,

1398
00:50:21,570 --> 00:50:22,390
so quantitatively

1399
00:50:22,769 --> 00:50:24,824
the same. You know, for the same amount

1400
00:50:24,824 --> 00:50:26,425
of doses, you get the same amount of

1401
00:50:26,425 --> 00:50:28,985
deaths and so on. It's got to be

1402
00:50:28,985 --> 00:50:29,485
related.

1403
00:50:30,025 --> 00:50:30,525
And

1404
00:50:30,824 --> 00:50:33,405
the way that I now understand the relationship

1405
00:50:33,625 --> 00:50:34,925
is through these campaigns

1406
00:50:35,224 --> 00:50:36,364
of of the rollouts.

1407
00:50:36,905 --> 00:50:38,684
Mhmm. So the most deadly

1408
00:50:40,079 --> 00:50:43,119
associations between vaccination and death are the places

1409
00:50:43,119 --> 00:50:45,539
where the the campaigns were most aggressive.

1410
00:50:46,079 --> 00:50:47,300
Right. So India

1411
00:50:47,840 --> 00:50:50,500
India had an extremely aggressive vaccination

1412
00:50:50,800 --> 00:50:51,300
campaign.

1413
00:50:51,680 --> 00:50:53,380
And as soon as it was,

1414
00:50:53,744 --> 00:50:56,384
there were there was no excess death in

1415
00:50:56,384 --> 00:50:58,404
India until they rolled out the vaccine

1416
00:50:58,704 --> 00:51:00,884
months later than the west did.

1417
00:51:01,344 --> 00:51:03,505
So you wait months even after we started

1418
00:51:03,505 --> 00:51:04,005
vaccinating,

1419
00:51:04,384 --> 00:51:05,605
then they start vaccinating,

1420
00:51:06,065 --> 00:51:07,204
and they get

1421
00:51:07,789 --> 00:51:10,429
millions of extra deaths within India. Okay? I

1422
00:51:10,429 --> 00:51:12,190
quantified that. I wrote a whole paper about

1423
00:51:12,190 --> 00:51:12,690
it.

1424
00:51:13,230 --> 00:51:15,949
It's it's absolutely stunning in India. Well, they

1425
00:51:15,949 --> 00:51:17,969
were chasing people down in the countryside,

1426
00:51:18,670 --> 00:51:20,670
holding them down with police and injecting them.

1427
00:51:20,670 --> 00:51:22,554
You can see the videos on YouTube. I

1428
00:51:22,554 --> 00:51:23,594
mean, it was it

1429
00:51:23,994 --> 00:51:25,054
talk about disrupting,

1430
00:51:25,914 --> 00:51:28,235
elderly people. And and and and and India

1431
00:51:28,235 --> 00:51:30,494
had the policy announced by its own,

1432
00:51:31,195 --> 00:51:32,574
president or prime minister,

1433
00:51:34,315 --> 00:51:35,454
especially prioritize

1434
00:51:35,914 --> 00:51:37,135
the sick and the elderly.

1435
00:51:37,569 --> 00:51:38,869
They had a list of comorbidities,

1436
00:51:39,250 --> 00:51:40,609
and you went after the people that have

1437
00:51:40,609 --> 00:51:41,349
these comorbidities

1438
00:51:41,650 --> 00:51:43,349
to inject them. Can you imagine?

1439
00:51:43,650 --> 00:51:45,170
And and you've got the family trying to

1440
00:51:45,170 --> 00:51:47,010
protect them and so on. So in India,

1441
00:51:47,010 --> 00:51:49,089
it was it was a 1% death rate,

1442
00:51:49,089 --> 00:51:49,589
basically.

1443
00:51:50,049 --> 00:51:53,190
Wow. Now, there was a comparable death rate

1444
00:51:53,704 --> 00:51:54,364
in some,

1445
00:51:54,905 --> 00:51:56,204
places in the USA

1446
00:51:56,664 --> 00:51:58,985
where they have this so called vaccine equity

1447
00:51:58,985 --> 00:51:59,485
campaigns,

1448
00:51:59,864 --> 00:52:02,445
where they just hired anybody. It was funded

1449
00:52:02,585 --> 00:52:04,125
by Gates and the usual people.

1450
00:52:04,505 --> 00:52:06,344
And they just hired people, like an army

1451
00:52:06,344 --> 00:52:08,579
of people to go and vaccinate the the

1452
00:52:08,579 --> 00:52:09,079
poorest,

1453
00:52:10,099 --> 00:52:11,400
more most disadvantaged

1454
00:52:11,700 --> 00:52:14,579
people that that had resisted vaccination up till

1455
00:52:14,579 --> 00:52:16,579
then. And they went in and aggressively coerced

1456
00:52:16,579 --> 00:52:19,960
them. That, was associated with a very high,

1457
00:52:20,420 --> 00:52:22,364
vaccination per dose death rate.

1458
00:52:22,925 --> 00:52:24,605
And so there are examples like that. But,

1459
00:52:24,605 --> 00:52:26,385
generally, it's it's a smaller,

1460
00:52:27,244 --> 00:52:29,965
per dose death rate. The time association is

1461
00:52:29,965 --> 00:52:31,264
about point 1%,

1462
00:52:31,644 --> 00:52:33,804
not 1%, but point you know, but still

1463
00:52:33,804 --> 00:52:35,264
very, very high. That's massive.

1464
00:52:35,644 --> 00:52:36,385
That's massive.

1465
00:52:36,800 --> 00:52:38,980
So, essentially, it's both is what you're highlighting.

1466
00:52:39,039 --> 00:52:40,719
You know? So it all the conjunction of

1467
00:52:40,719 --> 00:52:42,739
both. Because you could argue that the increase

1468
00:52:43,199 --> 00:52:45,359
of the actual administration would also see the

1469
00:52:45,359 --> 00:52:47,359
increase in spike because of the obvious deadliness,

1470
00:52:47,359 --> 00:52:49,859
but the campaign you're highlighting, the the pressure,

1471
00:52:50,000 --> 00:52:52,215
the psychological fear on top of that has

1472
00:52:52,215 --> 00:52:53,355
caused it to, you know,

1473
00:52:53,894 --> 00:52:54,394
synergistically

1474
00:52:54,695 --> 00:52:55,195
explode.

1475
00:52:56,295 --> 00:52:59,494
Yeah. The the easiest way to see that

1476
00:52:59,494 --> 00:53:02,215
the vaccine caused death is when you have

1477
00:53:02,215 --> 00:53:03,994
the clinical study of an individual,

1478
00:53:04,420 --> 00:53:06,099
and then you do an autopsy after that.

1479
00:53:06,099 --> 00:53:07,480
You can e autopsies

1480
00:53:07,860 --> 00:53:10,500
and clinical studies and biopsies, those are the

1481
00:53:10,500 --> 00:53:13,159
obvious ways where you really establish a link

1482
00:53:13,300 --> 00:53:14,119
between you're

1483
00:53:14,579 --> 00:53:16,340
given this poison and then you got very

1484
00:53:16,340 --> 00:53:17,719
sick or you died. Okay?

1485
00:53:18,105 --> 00:53:19,405
So developing myocarditis

1486
00:53:19,784 --> 00:53:21,465
and all those kinds of things. So clinical

1487
00:53:21,465 --> 00:53:22,844
studies will tell you that.

1488
00:53:23,224 --> 00:53:24,605
With all cause mortality,

1489
00:53:26,344 --> 00:53:29,465
the problem is the excess mortalities are so

1490
00:53:29,465 --> 00:53:29,965
huge.

1491
00:53:31,500 --> 00:53:33,199
There has to be a whole

1492
00:53:34,380 --> 00:53:34,880
campaign

1493
00:53:35,500 --> 00:53:36,000
of

1494
00:53:36,699 --> 00:53:37,599
death causing,

1495
00:53:38,219 --> 00:53:40,940
things that are happening and different thing different

1496
00:53:40,940 --> 00:53:43,739
jurisdictions and so on. And it it it

1497
00:53:43,820 --> 00:53:45,360
there's such huge numbers

1498
00:53:45,855 --> 00:53:49,295
that they're far beyond what could be caused,

1499
00:53:49,295 --> 00:53:51,954
what we're observing from the vaccine deaths.

1500
00:53:52,735 --> 00:53:54,594
Well, so it comes down to the proximal

1501
00:53:54,655 --> 00:53:56,494
versus the primary. Right? So they're kind of

1502
00:53:56,574 --> 00:53:58,335
it's it's one would you argue they're all

1503
00:53:58,335 --> 00:53:59,074
in the same

1504
00:53:59,489 --> 00:54:01,489
effectively leading to the same outcome? But all

1505
00:54:01,489 --> 00:54:03,329
of them, the masks, the ventilators, the shots,

1506
00:54:03,329 --> 00:54:05,409
the fear Well, it what I always say

1507
00:54:05,409 --> 00:54:05,909
is

1508
00:54:06,210 --> 00:54:07,349
it's the rollouts

1509
00:54:08,449 --> 00:54:08,949
that

1510
00:54:09,250 --> 00:54:11,730
that cause the association with the vaccines. It's

1511
00:54:11,730 --> 00:54:13,489
what you were doing when you rolled out

1512
00:54:13,489 --> 00:54:14,070
the vaccine

1513
00:54:14,449 --> 00:54:17,105
Right. That really caused most of the deaths

1514
00:54:17,244 --> 00:54:19,025
in frail and elderly people.

1515
00:54:20,045 --> 00:54:21,724
But there's no doubt that the vaccine is

1516
00:54:21,724 --> 00:54:24,285
also toxic. Now you could quantify all of

1517
00:54:24,285 --> 00:54:27,324
this. See, I I think that the virus

1518
00:54:27,324 --> 00:54:27,824
data

1519
00:54:28,525 --> 00:54:29,265
is not

1520
00:54:29,799 --> 00:54:31,799
as bad as people say. It might be

1521
00:54:31,799 --> 00:54:34,199
off by factor 2, let let's say. You

1522
00:54:34,199 --> 00:54:36,619
know? But it's not it gives you kinda

1523
00:54:36,679 --> 00:54:37,980
the right order of magnitude.

1524
00:54:38,839 --> 00:54:40,460
And the VARs data,

1525
00:54:41,639 --> 00:54:43,739
clearly has a lot of deaths in it.

1526
00:54:43,894 --> 00:54:46,054
And but those deaths are not enough to

1527
00:54:46,054 --> 00:54:46,795
give me

1528
00:54:47,255 --> 00:54:48,074
the huge

1529
00:54:48,454 --> 00:54:50,934
peaks in all cause mortality that I observe

1530
00:54:50,934 --> 00:54:51,994
in excess mortality.

1531
00:54:52,855 --> 00:54:55,414
So that's how I've that's how I've come

1532
00:54:55,414 --> 00:54:57,574
to understand this. I did an in-depth a

1533
00:54:57,574 --> 00:54:58,875
deep dive into

1534
00:54:59,519 --> 00:55:01,860
how does biological stress cause death.

1535
00:55:02,239 --> 00:55:03,539
Is that a real phenomenon,

1536
00:55:04,159 --> 00:55:06,800
and how effective is it? Well, it turns

1537
00:55:06,800 --> 00:55:07,699
out that historically,

1538
00:55:08,640 --> 00:55:11,059
all the pandemics can be explained this way.

1539
00:55:11,694 --> 00:55:12,194
Historically,

1540
00:55:13,054 --> 00:55:15,534
infection is the big killer, and it's self

1541
00:55:15,534 --> 00:55:16,034
infection.

1542
00:55:17,534 --> 00:55:20,414
It's because and you're susceptible to it because

1543
00:55:20,414 --> 00:55:23,875
you're being biologically stressed, and that includes nutrition.

1544
00:55:24,174 --> 00:55:25,714
Biological stress includes,

1545
00:55:26,519 --> 00:55:29,320
nutritional deficiencies and all kinds of factors like

1546
00:55:29,320 --> 00:55:29,820
that.

1547
00:55:30,679 --> 00:55:33,739
Those things always will cause you to die.

1548
00:55:34,199 --> 00:55:36,219
Mhmm. And this is a case where

1549
00:55:36,519 --> 00:55:37,019
you've

1550
00:55:37,320 --> 00:55:38,699
dialed up the biological

1551
00:55:39,000 --> 00:55:39,500
stress

1552
00:55:40,394 --> 00:55:42,554
way beyond the background level that we're kind

1553
00:55:42,554 --> 00:55:43,934
of habituated to

1554
00:55:44,315 --> 00:55:45,295
all of a sudden,

1555
00:55:46,315 --> 00:55:48,394
and you've especially done it to the frail

1556
00:55:48,394 --> 00:55:49,535
and elderly people.

1557
00:55:50,074 --> 00:55:51,835
See, one of the things I don't like

1558
00:55:51,835 --> 00:55:54,280
about I I'm critical of a lot of

1559
00:55:54,280 --> 00:55:56,280
the people who have who have observed the

1560
00:55:56,280 --> 00:55:58,039
pandemic. And one of the things I don't

1561
00:55:58,039 --> 00:55:59,739
like about the congressional report

1562
00:56:00,039 --> 00:56:01,719
is they'll say there's a lot of things

1563
00:56:01,719 --> 00:56:03,400
I don't like about the congressional report. I

1564
00:56:03,400 --> 00:56:05,579
think it's a piece of propaganda. It's terrible.

1565
00:56:05,855 --> 00:56:06,755
And it's intended

1566
00:56:07,135 --> 00:56:09,234
for cooling the mark out, which is

1567
00:56:09,534 --> 00:56:10,914
a a social science phenomenon

1568
00:56:11,534 --> 00:56:14,194
that was described by, Goffman in 1952.

1569
00:56:14,574 --> 00:56:16,815
But, anyway, it's it's it's so that we

1570
00:56:16,815 --> 00:56:18,574
won't be too angry. It's to calm us

1571
00:56:18,574 --> 00:56:21,394
down. Right? Mhmm. But that that report

1572
00:56:22,710 --> 00:56:23,690
goes on about,

1573
00:56:25,429 --> 00:56:27,909
we should not have applied general lockdown. That

1574
00:56:27,909 --> 00:56:29,449
was the wrong thing to do.

1575
00:56:30,070 --> 00:56:31,130
Well, I'm sorry,

1576
00:56:31,510 --> 00:56:34,170
but you should not have applied targeted lockdowns

1577
00:56:34,309 --> 00:56:35,289
to care homes.

1578
00:56:35,829 --> 00:56:37,289
That's what killed people.

1579
00:56:37,864 --> 00:56:40,824
You if you say that we're gonna protect

1580
00:56:40,824 --> 00:56:42,984
the elderly, and what you mean is this

1581
00:56:42,984 --> 00:56:43,804
kind of protection,

1582
00:56:44,105 --> 00:56:46,424
you are killing them preferentially. That is a

1583
00:56:46,424 --> 00:56:48,924
campaign to kill them. And so that is

1584
00:56:49,144 --> 00:56:51,545
absolutely disgusting, which is why I never signed

1585
00:56:51,545 --> 00:56:52,045
that

1586
00:56:52,480 --> 00:56:53,599
that, general,

1587
00:56:54,320 --> 00:56:56,519
yeah, what was it called? The the the

1588
00:56:56,519 --> 00:56:58,420
the the the document where

1589
00:56:58,960 --> 00:57:00,500
where I that was against,

1590
00:57:01,200 --> 00:57:04,400
general lockdowns, but for focus and protection of

1591
00:57:04,400 --> 00:57:06,175
the elderly. I didn't sign that because I

1592
00:57:06,175 --> 00:57:07,694
saw what it meant. What it meant in

1593
00:57:07,694 --> 00:57:10,335
practice was you're gonna kill them. And, you

1594
00:57:10,335 --> 00:57:11,635
know, the thing about Sweden

1595
00:57:12,574 --> 00:57:14,734
is Sweden a lot of people talk about,

1596
00:57:15,054 --> 00:57:17,855
Sweden as having not applied general lockdowns and

1597
00:57:17,855 --> 00:57:20,210
therefore avoid a lot of deaths. Well,

1598
00:57:20,670 --> 00:57:23,969
Stockholm had an enormous peak in excess mortality

1599
00:57:24,030 --> 00:57:25,010
right at the beginning,

1600
00:57:25,389 --> 00:57:28,429
and they were targeting the elderly. There is

1601
00:57:28,429 --> 00:57:29,650
no doubt about that.

1602
00:57:30,109 --> 00:57:32,349
So it does not have lower mortality. It

1603
00:57:32,349 --> 00:57:33,090
has higher

1604
00:57:33,405 --> 00:57:36,285
excess mortality than its neighbors. It's northern European

1605
00:57:36,285 --> 00:57:38,765
neighbors actually, like Norway and so on. So

1606
00:57:38,765 --> 00:57:41,105
that's a myth that that that that Sweden,

1607
00:57:41,644 --> 00:57:42,545
had low mortality.

1608
00:57:42,925 --> 00:57:45,085
We we showed this great there though. Well,

1609
00:57:45,085 --> 00:57:46,769
that that that's a really important part for

1610
00:57:46,769 --> 00:57:48,289
everyone to pluck out right there because that's

1611
00:57:48,289 --> 00:57:50,449
always been this interesting dynamic of the argument

1612
00:57:50,449 --> 00:57:52,849
between people saying no. They prove that this

1613
00:57:52,849 --> 00:57:54,929
is why it happened. Others saying no. Here's

1614
00:57:54,929 --> 00:57:56,849
the point about excess mortality. You just answer

1615
00:57:56,849 --> 00:57:58,784
that question for them. That essentially, it's again,

1616
00:57:58,784 --> 00:58:00,005
comes back to the psychological,

1617
00:58:00,304 --> 00:58:03,425
social, environmental fear as opposed to the actions

1618
00:58:03,425 --> 00:58:04,864
around it, which also do play a factor.

1619
00:58:04,864 --> 00:58:06,464
That's Well that's important right there for everyone

1620
00:58:06,464 --> 00:58:07,984
to pick up on. One of the one

1621
00:58:07,984 --> 00:58:09,844
of the problems in all of this

1622
00:58:10,625 --> 00:58:11,364
is that

1623
00:58:11,664 --> 00:58:12,164
we,

1624
00:58:13,489 --> 00:58:15,409
look at the pandemic and try to understand

1625
00:58:15,409 --> 00:58:16,789
it from our own eyes,

1626
00:58:17,250 --> 00:58:20,049
but we are young adults. I'll include myself

1627
00:58:20,049 --> 00:58:21,969
in that. We are young adults that are

1628
00:58:21,969 --> 00:58:22,469
healthy,

1629
00:58:22,929 --> 00:58:24,609
and we're still able to figure things out.

1630
00:58:24,609 --> 00:58:26,210
And we have mobility, and we have all

1631
00:58:26,210 --> 00:58:28,605
these things. And we're seeing it from from

1632
00:58:28,605 --> 00:58:30,144
our eyes, which is, you know,

1633
00:58:31,005 --> 00:58:33,164
how would it have caused me death? Well,

1634
00:58:33,164 --> 00:58:34,925
I don't wanna be locked down. I don't

1635
00:58:34,925 --> 00:58:37,005
wanna have these freedoms. I don't wanna be

1636
00:58:37,005 --> 00:58:39,085
injected with the vaccine. So we're seeing it

1637
00:58:39,085 --> 00:58:41,469
from the perspective of our lives and our

1638
00:58:41,469 --> 00:58:43,410
bodies and so on. But, really,

1639
00:58:43,950 --> 00:58:45,250
you kill the elderly.

1640
00:58:45,550 --> 00:58:48,590
The great majority of excess death was all

1641
00:58:48,590 --> 00:58:50,510
in the elderly and the frail and the

1642
00:58:50,510 --> 00:58:51,010
sick.

1643
00:58:51,630 --> 00:58:53,170
And and and

1644
00:58:53,505 --> 00:58:56,304
the way you kill the elderly was not

1645
00:58:56,304 --> 00:58:58,704
through the general lockdowns. It was because of

1646
00:58:58,704 --> 00:59:00,464
how you treated them in their care homes

1647
00:59:00,464 --> 00:59:01,364
and the hospitals.

1648
00:59:02,224 --> 00:59:04,164
Okay? Right. So in terms of

1649
00:59:04,625 --> 00:59:06,085
the amount of mortality

1650
00:59:06,385 --> 00:59:07,284
that was caused,

1651
00:59:08,639 --> 00:59:10,639
the way that we're used to thinking about

1652
00:59:10,639 --> 00:59:12,420
it is not really that relevant.

1653
00:59:13,039 --> 00:59:15,219
You have to think from the perspective

1654
00:59:15,920 --> 00:59:17,699
of an elderly and frail person

1655
00:59:18,079 --> 00:59:20,239
who cannot who is forced to be in

1656
00:59:20,239 --> 00:59:22,019
a care home or a hospital

1657
00:59:22,574 --> 00:59:25,054
and who is subjected to these policies, these

1658
00:59:25,054 --> 00:59:26,275
measures, and these

1659
00:59:26,655 --> 00:59:28,594
rollouts, and you name it. Okay? And

1660
00:59:29,135 --> 00:59:29,635
whose,

1661
00:59:31,135 --> 00:59:34,434
meals and care schedules are being completely disrupted

1662
00:59:34,815 --> 00:59:35,635
and they're being

1663
00:59:36,130 --> 00:59:38,309
vaccinated for the flu at the same time,

1664
00:59:38,449 --> 00:59:39,829
and they're being continuously

1665
00:59:40,289 --> 00:59:40,789
tested.

1666
00:59:41,329 --> 00:59:43,109
And as soon as they get a positive,

1667
00:59:43,329 --> 00:59:44,469
whatever that means,

1668
00:59:44,769 --> 00:59:46,849
they get even more measures put on them

1669
00:59:46,849 --> 00:59:49,605
and so on. That's that's what was causing

1670
00:59:49,605 --> 00:59:51,625
the deaths in terms of all cause mortality.

1671
00:59:52,005 --> 00:59:53,625
Now in addition to that,

1672
00:59:54,005 --> 00:59:56,965
you had very unacceptable and significant deaths of

1673
00:59:56,965 --> 00:59:59,785
young adults. See, the the the truth is,

1674
01:00:01,889 --> 01:00:03,269
the percent death

1675
01:00:04,050 --> 01:00:07,250
relative to the death rate for your age

1676
01:00:07,250 --> 01:00:07,750
group

1677
01:00:08,369 --> 01:00:10,710
across the board was high during COVID.

1678
01:00:11,010 --> 01:00:12,150
That's another demonstration

1679
01:00:12,449 --> 01:00:12,945
that

1680
01:00:13,824 --> 01:00:16,965
it was due to stress, biological stress, because,

1681
01:00:18,065 --> 01:00:21,364
these infections are thought to affect the elderly

1682
01:00:21,425 --> 01:00:21,925
more.

1683
01:00:22,224 --> 01:00:23,925
But everyone was dying

1684
01:00:24,385 --> 01:00:25,285
at the same

1685
01:00:25,664 --> 01:00:29,069
rate relative to their mortality rate. Okay?

1686
01:00:29,690 --> 01:00:30,589
Interesting. Yeah.

1687
01:00:30,969 --> 01:00:33,369
So there's a lot of for example, we

1688
01:00:33,369 --> 01:00:35,929
were studying Canada in detail. In Alberta, which

1689
01:00:35,929 --> 01:00:36,670
had an

1690
01:00:36,969 --> 01:00:39,289
an energy sector that was shut down for

1691
01:00:39,289 --> 01:00:40,909
geopolitical and other reasons,

1692
01:00:41,449 --> 01:00:42,349
during COVID,

1693
01:00:43,815 --> 01:00:46,614
young men had a huge death rate, much

1694
01:00:46,614 --> 01:00:47,914
higher than in other provinces,

1695
01:00:48,534 --> 01:00:49,034
okay,

1696
01:00:49,414 --> 01:00:51,494
due to loss of employment, loss of meaning

1697
01:00:51,494 --> 01:00:53,195
in their lives, loss of everything.

1698
01:00:53,735 --> 01:00:56,454
And they and there was more deaths due

1699
01:00:56,454 --> 01:00:56,954
to,

1700
01:00:57,414 --> 01:00:57,914
drug,

1701
01:00:58,880 --> 01:01:01,219
accidental drug deaths, and so on. Okay?

1702
01:01:03,440 --> 01:01:06,500
So there are many examples of young people,

1703
01:01:07,519 --> 01:01:09,440
all the way down to infants and so

1704
01:01:09,440 --> 01:01:10,739
on dying more.

1705
01:01:11,119 --> 01:01:12,340
But in terms of

1706
01:01:12,800 --> 01:01:14,099
numbers of deaths,

1707
01:01:15,035 --> 01:01:17,914
without a doubt, exponentially, it's as you get

1708
01:01:17,914 --> 01:01:19,835
into the elderly that you have the greatest

1709
01:01:19,835 --> 01:01:20,974
numbers of death.

1710
01:01:21,355 --> 01:01:23,355
So when you're just doing, you know, by

1711
01:01:23,355 --> 01:01:25,914
jurisdiction number of deaths, it's mostly the elderly

1712
01:01:25,914 --> 01:01:27,994
in those conditions that I was describing. But

1713
01:01:27,994 --> 01:01:29,055
that doesn't mean

1714
01:01:29,489 --> 01:01:32,289
that not everyone was affected. It's just you're

1715
01:01:32,289 --> 01:01:34,289
not gonna see it. Your chance of dying

1716
01:01:34,289 --> 01:01:36,449
as a young person is very low. And

1717
01:01:36,449 --> 01:01:38,369
if you have a 20% higher chance of

1718
01:01:38,369 --> 01:01:38,869
dying

1719
01:01:39,650 --> 01:01:41,909
during COVID, then you don't even

1720
01:01:42,335 --> 01:01:44,335
see that. You don't even experience it that

1721
01:01:44,335 --> 01:01:46,734
much, except if it's really dramatic. Like, if

1722
01:01:46,734 --> 01:01:47,714
you're talking just

1723
01:01:48,014 --> 01:01:50,734
heart conditions, not death, but heart conditions. Yeah.

1724
01:01:50,734 --> 01:01:53,375
There's so many more among young men that

1725
01:01:53,375 --> 01:01:55,214
you see it, and you talk about it,

1726
01:01:55,214 --> 01:01:57,214
and you know people, and you know people.

1727
01:01:57,214 --> 01:01:57,714
Right?

1728
01:01:58,130 --> 01:01:59,730
But otherwise, you wouldn't see it. You have

1729
01:01:59,730 --> 01:02:01,329
to do the kind of analysis that we

1730
01:02:01,329 --> 01:02:03,110
do to be able to detect it.

1731
01:02:03,570 --> 01:02:06,070
But there's no doubt. And so our latest

1732
01:02:06,210 --> 01:02:08,449
large paper, which you didn't show there, but

1733
01:02:08,449 --> 01:02:09,030
a 125

1734
01:02:09,410 --> 01:02:09,910
countries,

1735
01:02:10,385 --> 01:02:12,304
And we did by age group in Europe

1736
01:02:12,304 --> 01:02:14,484
as well, in the countries in Europe.

1737
01:02:14,864 --> 01:02:17,364
And it's really dramatic that you have,

1738
01:02:17,905 --> 01:02:19,605
that very high

1739
01:02:19,984 --> 01:02:22,484
relative death rate at in every age group.

1740
01:02:22,690 --> 01:02:24,369
And you know what's interesting? What we saw

1741
01:02:24,369 --> 01:02:25,670
in Europe was the

1742
01:02:26,769 --> 01:02:28,530
the group the age group that had the

1743
01:02:28,530 --> 01:02:30,949
highest percentage of relative death

1744
01:02:31,650 --> 01:02:33,590
was the people who were born

1745
01:02:33,890 --> 01:02:36,469
during and just after the second World War.

1746
01:02:37,105 --> 01:02:39,204
Ah, okay. So the the trauma

1747
01:02:39,825 --> 01:02:42,625
Mhmm. As a child of being born under

1748
01:02:42,625 --> 01:02:44,485
those extremely stressful conditions,

1749
01:02:45,265 --> 01:02:45,765
nutritionally,

1750
01:02:46,224 --> 01:02:47,445
family, everything,

1751
01:02:48,785 --> 01:02:50,704
is such that you're more frail as an

1752
01:02:50,704 --> 01:02:51,684
elderly adult

1753
01:02:52,050 --> 01:02:53,590
than you otherwise would be

1754
01:02:53,890 --> 01:02:55,410
than you otherwise would be. So that was

1755
01:02:55,410 --> 01:02:57,090
one of the things that we we found

1756
01:02:57,090 --> 01:02:58,550
by analyzing this data.

1757
01:02:59,010 --> 01:02:59,510
Yeah.

1758
01:03:00,530 --> 01:03:02,690
Really to show you that long go ahead.

1759
01:03:02,690 --> 01:03:04,530
Go ahead. Yeah. There's a lot of things

1760
01:03:04,530 --> 01:03:06,390
going on like that that you can discover.

1761
01:03:06,864 --> 01:03:08,965
So you have to know that we've written,

1762
01:03:09,184 --> 01:03:10,244
I don't know, maybe

1763
01:03:11,105 --> 01:03:11,765
more than

1764
01:03:12,065 --> 01:03:13,844
40, something like 40

1765
01:03:14,465 --> 01:03:15,605
detailed articles

1766
01:03:16,305 --> 01:03:16,805
on

1767
01:03:17,344 --> 01:03:19,285
what was happening in terms of mortality

1768
01:03:19,889 --> 01:03:22,130
during the COVID period. That we've got a

1769
01:03:22,130 --> 01:03:23,730
lot of work out there. You can really

1770
01:03:23,730 --> 01:03:26,130
stack it high. You know? And we went

1771
01:03:26,130 --> 01:03:27,670
into detail by

1772
01:03:28,130 --> 01:03:31,089
by by state, by county, by country, by

1773
01:03:31,089 --> 01:03:31,589
subnational

1774
01:03:32,130 --> 01:03:32,630
region,

1775
01:03:33,054 --> 01:03:35,454
and we're putting out, papers in the coming

1776
01:03:35,454 --> 01:03:35,954
weeks

1777
01:03:36,414 --> 01:03:38,355
that are always more

1778
01:03:38,655 --> 01:03:40,275
advanced and more detailed.

1779
01:03:41,614 --> 01:03:43,454
So there's 3 that I'm thinking of that

1780
01:03:43,454 --> 01:03:45,054
we're putting out very soon that are just

1781
01:03:45,054 --> 01:03:45,554
gonna

1782
01:03:46,489 --> 01:03:49,050
be very significant advances in all of this.

1783
01:03:49,050 --> 01:03:50,589
Let's put it that way. Okay?

1784
01:03:51,289 --> 01:03:53,609
I know that they they have done their

1785
01:03:53,609 --> 01:03:56,089
crime, and it's over. But it's taken us

1786
01:03:56,089 --> 01:03:59,050
this long to really, in detail, describe the

1787
01:03:59,050 --> 01:04:00,269
nature of their crime.

1788
01:04:00,974 --> 01:04:03,075
And so we're continuing to do that work.

1789
01:04:03,295 --> 01:04:04,575
Yeah. And this is one of the reasons

1790
01:04:04,575 --> 01:04:06,735
why the data is so aggressively protected. Right?

1791
01:04:06,735 --> 01:04:08,655
Because, you know, experts like you can take

1792
01:04:08,655 --> 01:04:09,934
the time to go through it and and

1793
01:04:09,934 --> 01:04:10,994
make a very clear,

1794
01:04:11,295 --> 01:04:13,454
you know, criminal report, if you will, about

1795
01:04:13,454 --> 01:04:15,280
how this actually went down. And what you

1796
01:04:15,280 --> 01:04:17,679
described there very clearly showed this early aspect

1797
01:04:17,679 --> 01:04:18,179
of

1798
01:04:18,480 --> 01:04:20,559
stress that carries all the way to being

1799
01:04:20,559 --> 01:04:22,639
elderly. Like, it just shows you very clearly

1800
01:04:22,639 --> 01:04:24,400
how that has a very direct effect on

1801
01:04:24,400 --> 01:04:26,639
your health, apparently, your entire life. And so

1802
01:04:26,639 --> 01:04:28,574
that's it's a fascinating thing to think about.

1803
01:04:28,655 --> 01:04:31,054
And so I I think overall, you've painted

1804
01:04:31,054 --> 01:04:33,614
a very excellent picture here on how there's

1805
01:04:33,614 --> 01:04:35,534
multiple aspects, which by the way was one

1806
01:04:35,534 --> 01:04:37,054
of the earlier points that a lot of

1807
01:04:37,054 --> 01:04:38,894
people there you know, there's people out there

1808
01:04:38,894 --> 01:04:40,734
that got shouted down early in this conversation.

1809
01:04:40,734 --> 01:04:42,335
You're one of them is pointing out the

1810
01:04:42,335 --> 01:04:44,680
different elements that kind of synergistically in a

1811
01:04:44,680 --> 01:04:46,840
bad way work together to cause a lot

1812
01:04:46,840 --> 01:04:48,360
of the things we saw. And you could

1813
01:04:48,360 --> 01:04:50,760
argue even by byproducts or intentional, but we're

1814
01:04:50,760 --> 01:04:52,280
still used in the same way to create

1815
01:04:52,280 --> 01:04:52,940
this illusion.

1816
01:04:53,239 --> 01:04:55,079
So I what I think is really fascinating

1817
01:04:55,079 --> 01:04:56,199
more than all of it is that what

1818
01:04:56,199 --> 01:04:58,224
you're highlighting here when we could talk about

1819
01:04:58,224 --> 01:05:00,304
now, is this kind of bumping up against

1820
01:05:00,304 --> 01:05:02,864
this debate, this idea of germ theory versus

1821
01:05:02,864 --> 01:05:05,105
terrain theory. And, you know, my stance on

1822
01:05:05,105 --> 01:05:06,545
this has been you know, it frustrates a

1823
01:05:06,545 --> 01:05:08,545
lot of people in the in both sides

1824
01:05:08,545 --> 01:05:10,065
of it, really, that I don't feel like

1825
01:05:10,065 --> 01:05:12,269
I've personally felt like it's been fleshed out

1826
01:05:12,269 --> 01:05:13,630
enough, that I feel like it's somewhere in

1827
01:05:13,630 --> 01:05:15,550
the middle or that neither side really I

1828
01:05:15,550 --> 01:05:17,550
feel like addresses parts that I don't feel

1829
01:05:17,630 --> 01:05:18,989
like, that no. We don't know for sure

1830
01:05:18,989 --> 01:05:20,430
yet. But so what you're touching on is

1831
01:05:20,430 --> 01:05:22,030
an interesting overlap to the both of them.

1832
01:05:22,030 --> 01:05:23,655
Right? That there are there's a level of

1833
01:05:23,655 --> 01:05:25,815
something that has whether they're pathogens in a

1834
01:05:25,815 --> 01:05:27,815
circumstance or whether they exist at all, that

1835
01:05:27,815 --> 01:05:29,114
you can have a environmental,

1836
01:05:29,735 --> 01:05:30,235
biological

1837
01:05:30,775 --> 01:05:31,515
stress related

1838
01:05:32,055 --> 01:05:34,454
illness. You know? And so just Yeah. First

1839
01:05:34,454 --> 01:05:35,574
of all, before we get into it all,

1840
01:05:35,574 --> 01:05:37,015
what what are your thoughts on terrain theory

1841
01:05:37,015 --> 01:05:38,609
versus germ theory? And, you know, how is

1842
01:05:38,609 --> 01:05:40,890
that Before ask me that again, but I

1843
01:05:40,890 --> 01:05:43,550
wanna say something first. Okay. You know, there's

1844
01:05:46,409 --> 01:05:47,070
the vaccines

1845
01:05:47,929 --> 01:05:48,429
were

1846
01:05:48,809 --> 01:05:52,054
a toxic substance. The cationic lipids themselves are

1847
01:05:52,054 --> 01:05:53,914
toxic substances. They they

1848
01:05:54,295 --> 01:05:56,614
do serious damage to cell walls and so

1849
01:05:56,614 --> 01:05:58,694
on. There is no doubt. I mean, even

1850
01:05:58,694 --> 01:06:00,214
if you didn't have anything in them, it's

1851
01:06:00,214 --> 01:06:02,295
it's a really bad idea to inject you

1852
01:06:02,295 --> 01:06:03,275
with these nanoparticles.

1853
01:06:05,175 --> 01:06:05,675
So

1854
01:06:06,389 --> 01:06:08,329
what are the long term effects of that?

1855
01:06:08,549 --> 01:06:10,889
I guess we're still trying to discover it.

1856
01:06:11,989 --> 01:06:12,889
There is,

1857
01:06:13,909 --> 01:06:14,409
persistent

1858
01:06:14,710 --> 01:06:16,010
excess all cause mortality

1859
01:06:16,389 --> 01:06:17,530
into 2024,

1860
01:06:17,989 --> 01:06:21,184
and we're quantifying that. So there's definitely some

1861
01:06:21,644 --> 01:06:23,505
excess mortality that is persistent,

1862
01:06:24,925 --> 01:06:28,625
even though supposedly the pandemic is over and

1863
01:06:28,845 --> 01:06:31,805
pathogens never last this long and so on.

1864
01:06:31,805 --> 01:06:32,305
Alright.

1865
01:06:33,000 --> 01:06:35,179
But what I wanna put forward is

1866
01:06:35,719 --> 01:06:37,019
oh, did I lose you?

1867
01:06:37,480 --> 01:06:39,079
Nope. I'm still here. I just was bringing

1868
01:06:39,079 --> 01:06:40,920
up some some screen. Just showing him the

1869
01:06:41,000 --> 01:06:42,519
one of the studies he referenced. Go ahead.

1870
01:06:42,519 --> 01:06:43,019
Yeah.

1871
01:06:44,199 --> 01:06:44,699
So,

1872
01:06:45,559 --> 01:06:47,179
what I wanna put forward is

1873
01:06:48,174 --> 01:06:49,554
what are the long term effects?

1874
01:06:50,734 --> 01:06:52,275
Death and illness. Okay?

1875
01:06:53,054 --> 01:06:55,214
Are those long term I don't think that

1876
01:06:55,214 --> 01:06:57,375
these all these or even most of the

1877
01:06:57,375 --> 01:06:59,474
long term effects are due to the vaccines

1878
01:06:59,534 --> 01:07:01,474
themselves. That's gonna shock people.

1879
01:07:02,010 --> 01:07:04,429
I think that we have just been subjected

1880
01:07:04,650 --> 01:07:05,150
to

1881
01:07:05,929 --> 01:07:06,909
intense trauma.

1882
01:07:08,570 --> 01:07:11,230
We have been subjected to a pulse

1883
01:07:11,610 --> 01:07:13,789
of high biological stress

1884
01:07:14,304 --> 01:07:15,364
that has completely

1885
01:07:16,144 --> 01:07:17,364
perturbed our lives,

1886
01:07:17,985 --> 01:07:19,204
disoriented us,

1887
01:07:20,065 --> 01:07:21,765
made us question many things,

1888
01:07:22,304 --> 01:07:24,885
and affected our health in real ways

1889
01:07:25,425 --> 01:07:27,125
that are long term.

1890
01:07:28,340 --> 01:07:28,840
Trauma

1891
01:07:29,219 --> 01:07:31,480
affects your life in a long term way.

1892
01:07:31,940 --> 01:07:32,420
And,

1893
01:07:33,940 --> 01:07:35,699
so I think that that's very important. We're

1894
01:07:35,699 --> 01:07:38,280
not recognizing that enough. Too many

1895
01:07:38,579 --> 01:07:39,079
MDs

1896
01:07:39,780 --> 01:07:42,280
want to detoxify you from the vaccination

1897
01:07:43,135 --> 01:07:44,974
and want to sell you products to do

1898
01:07:44,974 --> 01:07:45,474
that.

1899
01:07:46,255 --> 01:07:46,755
Whereas

1900
01:07:47,055 --> 01:07:49,715
what really happened here, the really big killer

1901
01:07:49,934 --> 01:07:52,414
was the biological stress event that it was,

1902
01:07:52,414 --> 01:07:54,355
was the assault against people.

1903
01:07:54,974 --> 01:07:57,394
And that is, an intense trauma

1904
01:07:57,840 --> 01:08:00,340
that takes years years to get over.

1905
01:08:01,440 --> 01:08:02,099
The children

1906
01:08:02,640 --> 01:08:04,980
that were treated this way in school,

1907
01:08:06,400 --> 01:08:07,380
with masking

1908
01:08:07,680 --> 01:08:09,840
and, you know, this this completely

1909
01:08:10,695 --> 01:08:13,275
this dysphoria, this this this insanity.

1910
01:08:14,055 --> 01:08:15,434
All all of these things,

1911
01:08:16,534 --> 01:08:18,935
are part of this trauma that is going

1912
01:08:18,935 --> 01:08:20,475
to have a lasting effect.

1913
01:08:20,935 --> 01:08:22,695
So we're not going to be the same

1914
01:08:22,695 --> 01:08:23,835
for a long time.

1915
01:08:24,329 --> 01:08:26,010
And we have been to the extent that

1916
01:08:26,010 --> 01:08:27,390
we're adjusting to it,

1917
01:08:27,850 --> 01:08:30,109
we're adjusting to a higher level of totalitarianism,

1918
01:08:30,890 --> 01:08:31,949
which is not necessarily

1919
01:08:32,489 --> 01:08:34,170
a good thing, but that's what they're bringing

1920
01:08:34,170 --> 01:08:36,090
us to. They're bringing us to that kind

1921
01:08:36,090 --> 01:08:36,909
of an adjustment.

1922
01:08:37,864 --> 01:08:40,265
Society as a whole is is seeing this

1923
01:08:40,265 --> 01:08:42,045
as normal in a sense.

1924
01:08:42,585 --> 01:08:43,085
And,

1925
01:08:44,664 --> 01:08:46,104
they might they might suggest

1926
01:08:46,505 --> 01:08:47,725
subject us to,

1927
01:08:48,425 --> 01:08:50,425
those kinds of traumas in the future, and

1928
01:08:50,425 --> 01:08:52,579
we'll be more ready to accept them in

1929
01:08:52,579 --> 01:08:54,340
the sense that we've survived this one. You

1930
01:08:54,340 --> 01:08:56,420
know? And one of the traumas that I

1931
01:08:56,420 --> 01:08:58,659
think is coming, because we should talk about

1932
01:08:58,659 --> 01:08:59,639
that a little bit,

1933
01:09:00,020 --> 01:09:00,520
is,

1934
01:09:01,380 --> 01:09:03,800
a very good chance of large scale wars

1935
01:09:04,739 --> 01:09:06,599
and being drafted into the military.

1936
01:09:07,564 --> 01:09:08,064
And,

1937
01:09:09,005 --> 01:09:11,085
the the the US is really serious. The

1938
01:09:11,085 --> 01:09:11,985
US regime,

1939
01:09:12,685 --> 01:09:14,685
the deep state, whatever you wanna call it,

1940
01:09:14,685 --> 01:09:17,104
is really serious about destroying

1941
01:09:17,405 --> 01:09:17,905
all

1942
01:09:18,284 --> 01:09:20,765
competitors that want to develop. Because if you

1943
01:09:20,765 --> 01:09:21,265
let,

1944
01:09:21,979 --> 01:09:25,179
China and Eurasia develop or forget euro part

1945
01:09:25,179 --> 01:09:26,479
of it, it's dead now,

1946
01:09:27,020 --> 01:09:27,500
because,

1947
01:09:27,899 --> 01:09:30,140
because the US has crushed it, crushed that

1948
01:09:30,140 --> 01:09:30,640
competitor.

1949
01:09:31,179 --> 01:09:33,600
But, if you let Asia develop,

1950
01:09:34,104 --> 01:09:36,505
they will surpass you. This in their minds,

1951
01:09:36,505 --> 01:09:37,804
this is how they see it.

1952
01:09:38,104 --> 01:09:40,904
So the the US answer to that is

1953
01:09:40,904 --> 01:09:42,524
to simply destroy everything.

1954
01:09:43,064 --> 01:09:45,704
They would rather destroy entire nations and have

1955
01:09:45,704 --> 01:09:46,204
wars

1956
01:09:46,639 --> 01:09:47,599
and and fund,

1957
01:09:48,079 --> 01:09:51,279
proxies and so on and just cause havoc

1958
01:09:51,279 --> 01:09:51,939
and chaos

1959
01:09:52,479 --> 01:09:53,300
through proxies,

1960
01:09:54,479 --> 01:09:58,099
than allow a multipolar world to develop

1961
01:09:58,399 --> 01:10:01,965
and to, coexist and so on. So that

1962
01:10:01,965 --> 01:10:04,064
means that the US is definitely

1963
01:10:04,444 --> 01:10:06,304
headed towards major wars.

1964
01:10:06,844 --> 01:10:09,185
That means that the economy will collapse.

1965
01:10:10,045 --> 01:10:11,085
There will be,

1966
01:10:11,965 --> 01:10:13,185
incredible inflation,

1967
01:10:14,699 --> 01:10:17,199
the that that even if we're not attacked

1968
01:10:17,260 --> 01:10:20,079
directly, we will suffer huge consequences.

1969
01:10:20,619 --> 01:10:22,539
And the government is now in a position

1970
01:10:22,539 --> 01:10:24,780
to control us, to shut off our bank

1971
01:10:24,780 --> 01:10:26,560
accounts, to surveil us completely,

1972
01:10:26,940 --> 01:10:28,940
to inject us with whatever they want, whenever

1973
01:10:28,940 --> 01:10:29,654
they want.

1974
01:10:30,534 --> 01:10:32,934
You know, there's a pandemic now even though

1975
01:10:32,934 --> 01:10:34,534
there's yes. There's a war, but there's also

1976
01:10:34,534 --> 01:10:36,154
a pandemic we have to inject you.

1977
01:10:36,534 --> 01:10:37,014
And,

1978
01:10:38,774 --> 01:10:40,774
so I think we have to be worried

1979
01:10:40,774 --> 01:10:42,954
about what the government's gonna do next.

1980
01:10:43,329 --> 01:10:45,729
Yeah. And it's and there's some horrible things

1981
01:10:45,729 --> 01:10:46,550
on the horizon.

1982
01:10:48,050 --> 01:10:48,550
And,

1983
01:10:50,369 --> 01:10:50,869
that,

1984
01:10:52,050 --> 01:10:54,710
you know, it's not a question of healing

1985
01:10:54,770 --> 01:10:56,609
from this, and then everything will be okay.

1986
01:10:56,609 --> 01:10:58,369
And we'll be able to ratchet back and

1987
01:10:58,369 --> 01:11:00,604
bring back democracy and so on. And

1988
01:11:01,064 --> 01:11:03,864
it's not going there. Everything is is pointed

1989
01:11:03,864 --> 01:11:04,685
in the direction

1990
01:11:05,385 --> 01:11:06,364
of a more totalitarian

1991
01:11:07,625 --> 01:11:08,125
warring

1992
01:11:08,585 --> 01:11:09,085
system.

1993
01:11:09,784 --> 01:11:11,244
Right. I agree.

1994
01:11:11,739 --> 01:11:13,020
And I I think that what you what

1995
01:11:13,020 --> 01:11:14,699
you highlight there is it kinda dovetails what

1996
01:11:14,699 --> 01:11:15,899
you were just saying is that right? We

1997
01:11:15,979 --> 01:11:17,260
you're right. We have been at sort of

1998
01:11:17,260 --> 01:11:19,020
a a fever pitch of, you know, I

1999
01:11:19,020 --> 01:11:20,780
guess we're not allowed to call it World

2000
01:11:20,780 --> 01:11:22,539
War 3 despite the metrics all being met,

2001
01:11:22,539 --> 01:11:24,939
but still a world dynamic of war for

2002
01:11:24,939 --> 01:11:26,434
a while now. And so you're saying if

2003
01:11:26,434 --> 01:11:28,675
we see this kind of ongoing peak past

2004
01:11:28,675 --> 01:11:29,414
COVID 19

2005
01:11:29,954 --> 01:11:31,954
illusion, that that is one of many, you

2006
01:11:31,954 --> 01:11:33,314
know, to your point. If we could keeping

2007
01:11:33,314 --> 01:11:35,554
our biological stress high in a general sense,

2008
01:11:35,554 --> 01:11:37,474
that makes makes a lot of sense. So,

2009
01:11:37,474 --> 01:11:38,914
yeah, I think that's important to point out.

2010
01:11:38,914 --> 01:11:39,875
And I think that, you know, I I

2011
01:11:39,875 --> 01:11:41,460
honestly, I share your your kind of, you

2012
01:11:41,460 --> 01:11:43,539
know, I guess, pessimistic view on where they're

2013
01:11:43,539 --> 01:11:44,979
going. I say, sadly, I think it's the

2014
01:11:44,979 --> 01:11:46,579
right view because I think that's what's happening.

2015
01:11:46,579 --> 01:11:48,420
But I would also argue that because of

2016
01:11:48,420 --> 01:11:49,859
what you're doing and what a lot of

2017
01:11:49,859 --> 01:11:51,380
people are doing, I I think that's within

2018
01:11:51,380 --> 01:11:52,579
the cards to be able to at least

2019
01:11:52,579 --> 01:11:54,020
slow down or stop what they're trying to

2020
01:11:54,020 --> 01:11:55,015
accomplish. I I would just put a positive

2021
01:11:55,015 --> 01:11:55,595
spin on it.

2022
01:11:55,975 --> 01:11:57,034
I do think that's possible.

2023
01:11:57,414 --> 01:11:58,935
But so and and let's if unless you

2024
01:11:58,935 --> 01:12:00,534
wanna comment on that, let let's talk about

2025
01:12:00,534 --> 01:12:03,435
the interesting overlap between I I I think

2026
01:12:03,494 --> 01:12:05,494
I think the only thing that's gonna slow

2027
01:12:05,494 --> 01:12:06,155
them down

2028
01:12:06,960 --> 01:12:10,180
is the the extent to which Russia, China,

2029
01:12:10,239 --> 01:12:11,860
and to some degree, Iran

2030
01:12:12,560 --> 01:12:13,699
are able to,

2031
01:12:14,880 --> 01:12:16,579
militarily resist them

2032
01:12:16,960 --> 01:12:20,100
Mhmm. And and stop their military adventures

2033
01:12:20,604 --> 01:12:22,465
to the degree that that's possible,

2034
01:12:23,885 --> 01:12:25,724
then that's the only thing that's gonna slow

2035
01:12:25,724 --> 01:12:28,204
them down. Otherwise, they're they're ramping full out.

2036
01:12:28,204 --> 01:12:30,364
You know? It does seem that way. I

2037
01:12:30,364 --> 01:12:32,844
agree. Yeah. They see this as the window

2038
01:12:32,844 --> 01:12:34,224
where they have to do this.

2039
01:12:34,710 --> 01:12:36,250
Because if they don't destroy

2040
01:12:36,789 --> 01:12:39,690
these emerging economies, bricks, and so on,

2041
01:12:40,150 --> 01:12:42,550
then there will be a balanced world. They

2042
01:12:42,550 --> 01:12:44,329
will not be the masters of everything,

2043
01:12:45,030 --> 01:12:47,430
and they can't handle that. They're that's not

2044
01:12:47,430 --> 01:12:48,250
in their mindset.

2045
01:12:49,354 --> 01:12:51,354
That's what I think. Yeah. I mean, you're

2046
01:12:51,354 --> 01:12:52,975
right. I mean, there's a lot of multifamily,

2047
01:12:53,675 --> 01:12:54,795
you know, there's a lot going on in

2048
01:12:54,795 --> 01:12:57,055
that conversation, but I genuinely agree. I generally

2049
01:12:57,195 --> 01:12:59,354
agree with the, the perception there that I

2050
01:12:59,354 --> 01:13:01,114
think that it's obvious that this is being,

2051
01:13:01,114 --> 01:13:02,400
I mean, I think for the context of

2052
01:13:02,400 --> 01:13:04,239
today's conversation, I think just that this is

2053
01:13:04,239 --> 01:13:06,260
driving in a direction that will cause more

2054
01:13:06,479 --> 01:13:07,940
stress, more uncertainty,

2055
01:13:08,320 --> 01:13:10,239
more chaos in our lives. And whether that

2056
01:13:10,320 --> 01:13:11,440
this is it goes back to the earlier

2057
01:13:11,440 --> 01:13:13,760
point they made, whether that's the the done

2058
01:13:13,760 --> 01:13:15,775
so that creates what we're dealing with or

2059
01:13:15,775 --> 01:13:17,775
it's just used later. That's kinda how these

2060
01:13:17,775 --> 01:13:18,975
things tend to work. Right? So it's like

2061
01:13:18,975 --> 01:13:21,614
a byproduct nonetheless still can fulfill some objective

2062
01:13:21,614 --> 01:13:23,775
for these people. And so in the conversation

2063
01:13:23,775 --> 01:13:25,375
of the The more the more they make

2064
01:13:25,375 --> 01:13:26,595
you sick,

2065
01:13:27,135 --> 01:13:28,595
the more they make you,

2066
01:13:29,215 --> 01:13:29,670
weak,

2067
01:13:30,710 --> 01:13:33,350
fragile, the more they can control you. Yeah.

2068
01:13:33,350 --> 01:13:35,510
So every time they assault you with a

2069
01:13:35,510 --> 01:13:36,250
new assault,

2070
01:13:36,949 --> 01:13:39,350
that includes taking your liberties away and so

2071
01:13:39,350 --> 01:13:39,850
on,

2072
01:13:40,310 --> 01:13:43,350
they're they're making it less possible for you

2073
01:13:43,350 --> 01:13:43,929
to resist

2074
01:13:44,574 --> 01:13:45,954
wars or whatever.

2075
01:13:46,654 --> 01:13:47,875
Exactly. Exactly.

2076
01:13:48,414 --> 01:13:50,335
So so where's your stance on on German

2077
01:13:50,335 --> 01:13:52,014
terrain in general? Because I think I think

2078
01:13:52,014 --> 01:13:53,135
one of the things that stood out to

2079
01:13:53,135 --> 01:13:54,654
me this whole time on reading the your

2080
01:13:54,654 --> 01:13:57,054
most recent one is how interestingly this kind

2081
01:13:57,054 --> 01:13:58,594
of almost in a way creates,

2082
01:13:59,229 --> 01:14:01,229
you know, we're, like, common ground, if you

2083
01:14:01,229 --> 01:14:03,390
will, on this conversation. So where where's your

2084
01:14:03,390 --> 01:14:05,470
stance on that in general? And then where

2085
01:14:05,470 --> 01:14:07,229
do you place that in this conversation? Because

2086
01:14:07,229 --> 01:14:09,949
we already established go ahead. People on both

2087
01:14:09,949 --> 01:14:11,729
sides get angry with me. Okay?

2088
01:14:14,454 --> 01:14:14,954
Because

2089
01:14:16,454 --> 01:14:17,435
I'm honestly

2090
01:14:18,215 --> 01:14:21,034
still trying to get a firm

2091
01:14:21,414 --> 01:14:24,314
grip on the idea of the virus,

2092
01:14:25,175 --> 01:14:27,494
whether or not viruses exist, whether or not

2093
01:14:27,494 --> 01:14:30,800
there is conclusive evidence of their existence. And

2094
01:14:30,800 --> 01:14:33,520
I'm talking respiratory disease viruses. I don't wanna

2095
01:14:33,520 --> 01:14:34,260
get into

2096
01:14:34,720 --> 01:14:37,199
the viruses that attack bacteria and those kinds

2097
01:14:37,199 --> 01:14:38,500
of things. But,

2098
01:14:40,000 --> 01:14:42,715
I'm I'm I'm I'm grappling with that. And

2099
01:14:42,715 --> 01:14:43,335
therefore, I

2100
01:14:43,875 --> 01:14:44,375
am,

2101
01:14:45,395 --> 01:14:45,895
learning,

2102
01:14:46,595 --> 01:14:48,454
genetic technology, PCR.

2103
01:14:48,914 --> 01:14:51,795
I'm still learning these things, and I'm still

2104
01:14:51,795 --> 01:14:52,295
learning,

2105
01:14:53,074 --> 01:14:54,694
like, about the caveats,

2106
01:14:54,994 --> 01:14:56,614
about the ways that scientists'

2107
01:14:57,030 --> 01:14:57,689
entire technological

2108
01:14:58,949 --> 01:14:59,449
fields

2109
01:14:59,989 --> 01:15:02,970
and and and with the scientists that derive

2110
01:15:03,430 --> 01:15:05,270
their careers from that, how they can fool

2111
01:15:05,270 --> 01:15:08,390
themselves. I'm still I'm still wrapping my head

2112
01:15:08,390 --> 01:15:10,789
around all that and still having big discussions

2113
01:15:10,789 --> 01:15:12,170
about it with many people.

2114
01:15:12,704 --> 01:15:13,204
And,

2115
01:15:14,304 --> 01:15:15,664
not as much time as I'd like to

2116
01:15:15,664 --> 01:15:18,385
do it because of all this, mortality analysis

2117
01:15:18,385 --> 01:15:20,385
that we're doing, but, eventually, I will get

2118
01:15:20,385 --> 01:15:20,885
there.

2119
01:15:23,104 --> 01:15:25,024
But right now, I can say, and I've

2120
01:15:25,024 --> 01:15:26,804
said this publicly a few times,

2121
01:15:27,369 --> 01:15:30,750
I'm not convinced that it has been demonstrated

2122
01:15:31,210 --> 01:15:32,189
that these pathogenic

2123
01:15:32,569 --> 01:15:34,750
viruses that cause respiratory diseases,

2124
01:15:35,130 --> 01:15:37,529
that their existence has been demonstrated. I'm not

2125
01:15:37,529 --> 01:15:38,510
at all convinced.

2126
01:15:39,130 --> 01:15:41,930
And I'm quite convinced by a lot of

2127
01:15:41,930 --> 01:15:42,670
the historic

2128
01:15:43,104 --> 01:15:45,104
studies that showed how difficult it is to

2129
01:15:45,104 --> 01:15:47,824
get these respiratory conditions to be transmitted from

2130
01:15:47,824 --> 01:15:49,844
one person to another, virtually impossible.

2131
01:15:50,385 --> 01:15:52,864
Right. So there's a lot of there's a

2132
01:15:52,864 --> 01:15:55,444
lot of evidence out there that makes me

2133
01:15:56,039 --> 01:15:58,680
really doubt that there's been a demonstration that

2134
01:15:58,680 --> 01:15:59,180
these,

2135
01:15:59,720 --> 01:16:03,560
viruses that cause respiratory disease exist. Okay? Mhmm.

2136
01:16:03,720 --> 01:16:06,439
And are real and are are are are

2137
01:16:06,439 --> 01:16:07,420
are real entities

2138
01:16:08,164 --> 01:16:11,125
that, cause what they're claimed to cause. I'm

2139
01:16:11,125 --> 01:16:12,664
not I don't I don't yet

2140
01:16:13,045 --> 01:16:15,045
I'm not convinced of that. I'm not accepting

2141
01:16:15,045 --> 01:16:18,485
that as a demonstrated hypothesis. Let's put it

2142
01:16:18,485 --> 01:16:19,385
that way. Okay?

2143
01:16:20,640 --> 01:16:22,880
On the one hand, there's that that's the

2144
01:16:22,880 --> 01:16:24,420
position I have right now

2145
01:16:24,800 --> 01:16:26,479
as I continue to study it. On the

2146
01:16:26,479 --> 01:16:28,179
on the other hand, some

2147
01:16:28,800 --> 01:16:31,619
people go really far and claim the bacteria

2148
01:16:31,679 --> 01:16:32,659
themselves cannot,

2149
01:16:33,194 --> 01:16:33,694
basically

2150
01:16:34,154 --> 01:16:36,335
are not there or cannot cause you harm.

2151
01:16:36,554 --> 01:16:38,414
That they're there just to clean up the,

2152
01:16:38,474 --> 01:16:40,314
you know, the the weak tissues or the

2153
01:16:40,314 --> 01:16:42,234
the harm tissues in your body, and that's

2154
01:16:42,234 --> 01:16:43,835
their only purpose. Oh, yeah. There can be

2155
01:16:43,835 --> 01:16:45,890
byproducts of that consumption

2156
01:16:46,350 --> 01:16:47,869
that can be a little bit toxic for

2157
01:16:47,869 --> 01:16:49,310
you and that kind of thing, but it's

2158
01:16:49,310 --> 01:16:51,010
an accident. It's just a byproduct.

2159
01:16:52,510 --> 01:16:54,909
I do not buy that at all. I

2160
01:16:54,909 --> 01:16:55,890
I instead

2161
01:16:56,670 --> 01:16:59,469
move towards the modern theory of,

2162
01:17:00,655 --> 01:17:01,155
microbiomes

2163
01:17:02,175 --> 01:17:03,395
and their complexity

2164
01:17:04,015 --> 01:17:05,854
and how they evolve and how they can

2165
01:17:05,854 --> 01:17:07,954
become unbalanced and how they involve

2166
01:17:08,335 --> 01:17:11,215
100 and thousands of different types of,

2167
01:17:12,175 --> 01:17:12,675
biota

2168
01:17:13,135 --> 01:17:14,755
and and and how

2169
01:17:15,070 --> 01:17:17,650
basically you can always die of infections

2170
01:17:18,270 --> 01:17:21,090
in that sense, self infections, just because

2171
01:17:21,710 --> 01:17:24,030
everything that's needed that could go wrong is

2172
01:17:24,030 --> 01:17:26,030
right there in your body. I mean, let's

2173
01:17:26,030 --> 01:17:28,270
face it. Nobody has figured out how not

2174
01:17:28,270 --> 01:17:29,570
to die. Right?

2175
01:17:29,974 --> 01:17:32,295
The the the body the body has everything

2176
01:17:32,295 --> 01:17:34,314
it needs to end itself.

2177
01:17:34,774 --> 01:17:36,534
It it it it it can't go on

2178
01:17:36,534 --> 01:17:38,934
forever. And how does that happen? So I

2179
01:17:38,934 --> 01:17:40,474
think it's related to,

2180
01:17:41,255 --> 01:17:43,594
these infection mechanisms that involve

2181
01:17:44,279 --> 01:17:46,460
complex systems getting out of whack.

2182
01:17:46,920 --> 01:17:49,340
Yeah. K? Yeah. Actually okay.

2183
01:17:50,039 --> 01:17:52,619
Yeah. Yeah. So the so I

2184
01:17:53,479 --> 01:17:57,099
strongly believe that bacteria can be real killers,

2185
01:17:58,204 --> 01:17:59,104
and that's

2186
01:17:59,564 --> 01:18:02,625
and that antibiotic we should keep antibiotics around,

2187
01:18:03,564 --> 01:18:05,744
to save people's lives when they need it.

2188
01:18:06,045 --> 01:18:06,545
And,

2189
01:18:07,404 --> 01:18:07,904
that,

2190
01:18:08,524 --> 01:18:10,284
so I I don't I don't go with

2191
01:18:10,284 --> 01:18:12,545
the theory that there are no germs.

2192
01:18:12,960 --> 01:18:14,420
I do accept the idea

2193
01:18:15,280 --> 01:18:15,780
that

2194
01:18:16,159 --> 01:18:17,060
there's not

2195
01:18:17,360 --> 01:18:17,940
a particular

2196
01:18:18,880 --> 01:18:20,020
bacterial pathogen

2197
01:18:20,560 --> 01:18:22,560
that can be spread and that can cause

2198
01:18:22,560 --> 01:18:23,300
an epidemic.

2199
01:18:23,840 --> 01:18:26,395
I'm I'm willing to say fine. Even even

2200
01:18:26,395 --> 01:18:26,895
tuberculosis,

2201
01:18:27,274 --> 01:18:28,914
which has a lot of work done on

2202
01:18:28,914 --> 01:18:31,675
it, there's not a single pathogen. There's like

2203
01:18:31,675 --> 01:18:34,414
100 of bacteria that are said to be,

2204
01:18:35,195 --> 01:18:36,414
able to cause tuberculosis

2205
01:18:36,795 --> 01:18:38,335
or associated with tuberculosis.

2206
01:18:38,635 --> 01:18:40,975
Okay. So it's, it's, it's complex.

2207
01:18:42,530 --> 01:18:45,590
And there may be circumstances in which droplets

2208
01:18:45,650 --> 01:18:47,430
that contain many of these bacteria,

2209
01:18:48,530 --> 01:18:49,030
can

2210
01:18:49,409 --> 01:18:52,449
initiate an infection in someone else. Certainly that's

2211
01:18:52,449 --> 01:18:54,070
been demonstrated for animals.

2212
01:18:55,970 --> 01:18:56,470
So

2213
01:18:57,465 --> 01:18:58,364
and tuberculosis

2214
01:18:58,664 --> 01:18:59,944
I mean, I don't think it's an accident

2215
01:18:59,944 --> 01:19:02,444
that tuberculosis is is thought to be extremely

2216
01:19:02,585 --> 01:19:03,085
contagious.

2217
01:19:03,704 --> 01:19:05,704
Mhmm. I think there's probably a lot of

2218
01:19:05,704 --> 01:19:06,925
truth to that. You know?

2219
01:19:08,104 --> 01:19:10,744
You, bring someone in with tuberculosis into a

2220
01:19:10,744 --> 01:19:12,585
ward and see what happens kinda thing. You

2221
01:19:12,585 --> 01:19:12,960
know?

2222
01:19:13,920 --> 01:19:16,479
So there are probably examples, but you have

2223
01:19:16,479 --> 01:19:17,920
to sort them all out. You have to

2224
01:19:17,920 --> 01:19:20,000
be really look at the at the at

2225
01:19:20,000 --> 01:19:22,239
the data and the the scientific articles and

2226
01:19:22,239 --> 01:19:24,319
everything. And I'm you know, people are doing

2227
01:19:24,319 --> 01:19:26,640
that. There's a there's a wonderful book that

2228
01:19:26,640 --> 01:19:28,664
that looks at all the historic studies of

2229
01:19:28,664 --> 01:19:29,885
this type regarding

2230
01:19:30,345 --> 01:19:32,984
respiratory diseases that says, I think I think

2231
01:19:32,984 --> 01:19:34,824
the title of the book is, can you

2232
01:19:34,824 --> 01:19:37,405
catch a cold? Something like that. You know?

2233
01:19:37,944 --> 01:19:40,185
A recent book. I've made a list of

2234
01:19:40,185 --> 01:19:42,364
these books on on my website.

2235
01:19:46,399 --> 01:19:48,319
Really good point. You know? When you try

2236
01:19:48,319 --> 01:19:51,199
to see clear evidence for transmission, you don't

2237
01:19:51,199 --> 01:19:52,420
see it. Right.

2238
01:19:52,960 --> 01:19:53,460
So

2239
01:19:54,239 --> 01:19:55,859
I'm still debating

2240
01:19:56,319 --> 01:19:58,399
hypotheses, and that's kind of where I'm at

2241
01:19:58,399 --> 01:20:00,454
right now. Yeah. I'm I'm right there with

2242
01:20:00,454 --> 01:20:01,494
you. And I think that's why I think

2243
01:20:01,494 --> 01:20:02,635
this is important because

2244
01:20:03,015 --> 01:20:05,255
there's there's a lot of overlap even within

2245
01:20:05,574 --> 01:20:07,414
I mean, all sides. There's each community has

2246
01:20:07,414 --> 01:20:09,095
their own disagreements about what, you know, they

2247
01:20:09,095 --> 01:20:10,694
differ on the way they see things. It's

2248
01:20:10,694 --> 01:20:12,055
funny you meant you mentioned that I actually

2249
01:20:12,055 --> 01:20:13,335
had this pulled up as one of this

2250
01:20:13,335 --> 01:20:15,432
this, links today. And you you get in

2251
01:20:15,539 --> 01:20:16,939
this was the point that was I'm interested

2252
01:20:16,939 --> 01:20:18,899
in bias that ultimately, you write in here

2253
01:20:18,899 --> 01:20:20,340
that you you agree with a lot of

2254
01:20:20,340 --> 01:20:21,939
what's being put out, but this is what

2255
01:20:21,939 --> 01:20:23,539
I highlighted. This is as you said, I

2256
01:20:23,539 --> 01:20:24,739
I want to say that I think some

2257
01:20:24,739 --> 01:20:26,420
of the criticism of germ theory goes too

2258
01:20:26,420 --> 01:20:28,020
far, and you mentioned that exact point about

2259
01:20:28,020 --> 01:20:29,675
bacteria. And this is what I found so

2260
01:20:29,675 --> 01:20:31,994
interesting about this in particular. That so they're

2261
01:20:31,994 --> 01:20:33,675
saying essentially to reiterate what you said that

2262
01:20:33,675 --> 01:20:34,175
bacteria,

2263
01:20:34,635 --> 01:20:36,314
it's only present in the body as helpers

2264
01:20:36,314 --> 01:20:38,894
to break down, remove dead and detected tissue.

2265
01:20:39,034 --> 01:20:41,034
What I found interesting about that is, you

2266
01:20:41,034 --> 01:20:41,854
know, that ultimately,

2267
01:20:42,829 --> 01:20:45,149
we're talking about the idea of bacterial pneumonia

2268
01:20:45,149 --> 01:20:46,670
that I, you know, I think has been

2269
01:20:46,670 --> 01:20:48,429
demonstrated in some to be able to be

2270
01:20:48,510 --> 01:20:50,029
to spread and so on. And that you're

2271
01:20:50,029 --> 01:20:51,789
talking about also at the same time, something

2272
01:20:51,789 --> 01:20:54,909
that is self a self illness that is

2273
01:20:54,909 --> 01:20:55,812
not the same thing. Like, there's a there's

2274
01:20:55,812 --> 01:20:56,685
a common ground that is

2275
01:20:57,244 --> 01:20:57,473
not the same thing. Like, there's a there's

2276
01:20:57,473 --> 01:20:58,604
a common ground that's not very important. You

2277
01:20:58,604 --> 01:21:01,324
can you can simplify it this way. If

2278
01:21:01,324 --> 01:21:03,725
you wanna start believing that bacteria are there

2279
01:21:03,725 --> 01:21:05,824
just to help you and to help you,

2280
01:21:06,125 --> 01:21:08,465
you know, regulate your body and so on,

2281
01:21:08,685 --> 01:21:09,824
then you have to think,

2282
01:21:10,170 --> 01:21:12,350
who told the bacteria to do that?

2283
01:21:13,449 --> 01:21:15,390
You know what I mean? Like Mhmm. Like,

2284
01:21:16,010 --> 01:21:18,650
the the bacterias don't have minds. They they

2285
01:21:18,650 --> 01:21:19,789
develop their behavior

2286
01:21:20,409 --> 01:21:21,869
through a process of evolution

2287
01:21:23,225 --> 01:21:26,284
and coevolving with the animals that they inhabit,

2288
01:21:27,225 --> 01:21:27,725
and,

2289
01:21:29,465 --> 01:21:31,885
that is such that it's a complex system

2290
01:21:32,185 --> 01:21:33,564
that can go out of whack.

2291
01:21:33,944 --> 01:21:36,185
Mhmm. There's no there's no there's no, like,

2292
01:21:36,185 --> 01:21:37,625
you have a mission to clean up the

2293
01:21:37,625 --> 01:21:39,380
body. There's none of that. Okay?

2294
01:21:39,920 --> 01:21:40,420
It's

2295
01:21:40,800 --> 01:21:43,140
like, it there the these are symbiotic,

2296
01:21:44,560 --> 01:21:45,619
largely symbiotic,

2297
01:21:47,219 --> 01:21:49,920
different groups of species, like everything that's in

2298
01:21:49,920 --> 01:21:52,000
your gut and so on. But, I mean,

2299
01:21:52,000 --> 01:21:52,979
it can be invaded.

2300
01:21:53,280 --> 01:21:55,335
It can go out of whack. Certain ones

2301
01:21:55,335 --> 01:21:57,574
can take over. All kinds of things can

2302
01:21:57,574 --> 01:22:00,135
happen to just say that they won't they

2303
01:22:00,215 --> 01:22:02,715
they're never intended to harm you. Well,

2304
01:22:04,055 --> 01:22:06,055
you're you're not you could you could it

2305
01:22:06,055 --> 01:22:07,975
would be just as silly to argue that

2306
01:22:07,975 --> 01:22:10,640
you're not intended to die. You know? Right.

2307
01:22:10,640 --> 01:22:12,079
Well, let me put it let me make

2308
01:22:12,079 --> 01:22:13,760
it more specific. This will make it easier.

2309
01:22:13,760 --> 01:22:15,920
Like like so hypothetically speaking, if at least

2310
01:22:15,920 --> 01:22:17,720
they're willing to acknowledge that there is such

2311
01:22:17,720 --> 01:22:19,439
a thing as bacteria, but maybe it's not

2312
01:22:19,439 --> 01:22:19,939
dangerous.

2313
01:22:20,320 --> 01:22:22,239
Scientifically speaking, I'm asking you, do you think

2314
01:22:22,320 --> 01:22:23,780
is it scientifically possible,

2315
01:22:24,375 --> 01:22:26,454
let's just say in a BSL 4 lab

2316
01:22:26,454 --> 01:22:28,614
kind of dynamic, for for a scientist to

2317
01:22:28,614 --> 01:22:31,494
then take that not dangerous bacteria and then

2318
01:22:31,494 --> 01:22:32,694
alter it in a way that could make

2319
01:22:32,694 --> 01:22:33,354
it dangerous?

2320
01:22:34,215 --> 01:22:34,715
Oh,

2321
01:22:35,574 --> 01:22:37,574
well, that's That is showing up the door

2322
01:22:37,574 --> 01:22:39,034
to the bigger conversation. Right?

2323
01:22:39,489 --> 01:22:41,670
Yeah. Sure. You can do that with bacteria

2324
01:22:41,890 --> 01:22:44,930
because it it it's like anytime you do

2325
01:22:44,930 --> 01:22:45,750
this selective,

2326
01:22:46,609 --> 01:22:48,630
development. Like, you you can do selection

2327
01:22:49,489 --> 01:22:51,329
in the lab. You you know, you can

2328
01:22:51,329 --> 01:22:51,829
simply,

2329
01:22:52,604 --> 01:22:54,765
develop a new kind of dog that will

2330
01:22:54,765 --> 01:22:56,064
have different characteristics,

2331
01:22:56,685 --> 01:22:58,045
longer teeth, and so on. You you can

2332
01:22:58,045 --> 01:22:59,585
do all kinds of things with selection

2333
01:23:00,045 --> 01:23:02,045
if if you decide to do it. So,

2334
01:23:02,284 --> 01:23:03,965
you can certainly do the same thing with

2335
01:23:03,965 --> 01:23:04,465
bacteria.

2336
01:23:05,010 --> 01:23:08,069
And you you can accelerate those changes by,

2337
01:23:08,850 --> 01:23:11,649
genomic manipulation for sure. You know, you can

2338
01:23:11,649 --> 01:23:13,970
disrupt them and see which ones survive and

2339
01:23:13,970 --> 01:23:16,210
see the ones that have the characteristics that

2340
01:23:16,210 --> 01:23:18,689
you want and and and reproduce those. And,

2341
01:23:18,689 --> 01:23:20,149
you know, you can do all that.

2342
01:23:20,685 --> 01:23:23,024
So you can you can make very virulent,

2343
01:23:23,645 --> 01:23:24,145
bacteria,

2344
01:23:24,445 --> 01:23:25,104
I'm sure.

2345
01:23:25,645 --> 01:23:26,704
And then you could,

2346
01:23:27,405 --> 01:23:28,545
put them on,

2347
01:23:29,405 --> 01:23:31,905
small parasites and get them to be distributed

2348
01:23:33,539 --> 01:23:36,579
on enemy territory and, you know, all these

2349
01:23:36,579 --> 01:23:38,739
kinds of stuff. And and there's and there's

2350
01:23:38,739 --> 01:23:40,279
reports written about that.

2351
01:23:41,539 --> 01:23:43,619
So yeah. Yeah. You can do all these

2352
01:23:43,619 --> 01:23:46,359
things. I mean, biowarfare is a very real,

2353
01:23:46,954 --> 01:23:48,715
a real thing, and and and the Russians

2354
01:23:48,715 --> 01:23:52,095
have reported on historic examples of of biowarfare

2355
01:23:52,475 --> 01:23:55,055
accidents and also use of these weapons,

2356
01:23:55,994 --> 01:23:58,814
recently. That's the nice thing about this geopolitical

2357
01:23:58,954 --> 01:24:00,795
battle is that the Russians are being way

2358
01:24:00,795 --> 01:24:03,030
more talkative than they ever have been before.

2359
01:24:03,409 --> 01:24:04,610
They're they're they're,

2360
01:24:05,090 --> 01:24:08,210
disclosing a lot of information about the behavior

2361
01:24:08,210 --> 01:24:10,310
of the US and these kinds of things.

2362
01:24:10,530 --> 01:24:12,390
So you can learn a lot that way.

2363
01:24:13,409 --> 01:24:16,070
For sure, biowarfare is a very real thing.

2364
01:24:16,545 --> 01:24:18,645
I would question whether or not

2365
01:24:19,025 --> 01:24:20,085
genetic manipulations

2366
01:24:20,465 --> 01:24:20,965
of

2367
01:24:21,824 --> 01:24:22,324
traditional

2368
01:24:23,104 --> 01:24:25,685
what what they believe to be respiratory viruses,

2369
01:24:25,744 --> 01:24:26,485
if that's

2370
01:24:26,945 --> 01:24:28,164
useful or possible.

2371
01:24:29,000 --> 01:24:30,760
Oh, a a 100%. I'm I'm more on

2372
01:24:30,760 --> 01:24:32,600
your side of the conversation today. I I

2373
01:24:32,600 --> 01:24:33,960
I only really brought that up to make

2374
01:24:33,960 --> 01:24:35,719
the point to say, like, to see that

2375
01:24:35,719 --> 01:24:37,399
there's actually common ground here that, like, to

2376
01:24:37,560 --> 01:24:39,719
instead of coming from the perspective that there's

2377
01:24:39,719 --> 01:24:41,335
no way that can be what like, because

2378
01:24:41,335 --> 01:24:42,695
the other side of the conversation's on the

2379
01:24:42,695 --> 01:24:44,854
side of there are viruses, there's a deadly

2380
01:24:44,854 --> 01:24:46,695
thing, the government made it, they're attacking it.

2381
01:24:46,695 --> 01:24:48,295
You know, that you can both recognize that

2382
01:24:48,295 --> 01:24:50,055
there's a middle ground there, that it's possible,

2383
01:24:50,055 --> 01:24:52,135
so you can't dismiss their possibility. But come

2384
01:24:52,135 --> 01:24:53,734
to the the idea that what you're highlighting

2385
01:24:53,734 --> 01:24:55,335
here is that there's other aspects of this

2386
01:24:55,335 --> 01:24:57,109
that seem more prominent. And I just think

2387
01:24:57,109 --> 01:24:58,469
that's important, you know, because I think what

2388
01:24:58,469 --> 01:24:59,689
happens in these conversations,

2389
01:25:00,069 --> 01:25:01,429
you tend to find these lines that get

2390
01:25:01,429 --> 01:25:03,750
drawn where then people choose to omit or

2391
01:25:03,750 --> 01:25:05,429
ignore, sort of like the 2 party paradigm

2392
01:25:05,429 --> 01:25:05,929
politically,

2393
01:25:06,310 --> 01:25:08,710
important information that challenges what they've made their

2394
01:25:08,710 --> 01:25:10,444
stand on. And I'm just trying to highlight

2395
01:25:10,444 --> 01:25:12,545
that what you're doing here is really telling

2396
01:25:12,604 --> 01:25:14,284
you the truth. Go ahead. A lot of

2397
01:25:14,284 --> 01:25:16,844
the commentary is simplistic. Let's put it that

2398
01:25:16,844 --> 01:25:19,724
way. Okay. When you start talking about death

2399
01:25:19,724 --> 01:25:21,024
and what caused death

2400
01:25:21,579 --> 01:25:24,079
and you don't you're not able to discern

2401
01:25:24,699 --> 01:25:27,979
elderly people in homes versus young working adults

2402
01:25:27,979 --> 01:25:31,100
versus extremely poor, malnourished people and so on,

2403
01:25:31,100 --> 01:25:32,939
if you're not able to discern what would

2404
01:25:32,939 --> 01:25:35,899
have happened in Africa and India versus, you

2405
01:25:35,899 --> 01:25:38,595
know, other places and so on, then then

2406
01:25:38,595 --> 01:25:39,095
whatever

2407
01:25:39,555 --> 01:25:41,895
comment you're making is is so simplistic

2408
01:25:42,435 --> 01:25:44,994
that it can't possibly contain the truth. You

2409
01:25:44,994 --> 01:25:45,895
know what I mean?

2410
01:25:46,435 --> 01:25:48,354
And I think the same is true of

2411
01:25:48,354 --> 01:25:50,835
by warfare. You know, if you if the

2412
01:25:50,835 --> 01:25:51,574
same is

2413
01:25:52,600 --> 01:25:53,579
just to outright

2414
01:25:54,360 --> 01:25:56,380
say that pathogens don't exist,

2415
01:25:57,800 --> 01:25:59,020
that's an oversimplification

2416
01:26:00,199 --> 01:26:01,720
because of all the things that I've been

2417
01:26:01,720 --> 01:26:03,720
saying. Right? And I I think whenever you

2418
01:26:03,720 --> 01:26:04,220
oversimplify

2419
01:26:04,680 --> 01:26:05,420
like that,

2420
01:26:06,274 --> 01:26:08,114
there's a good chance you you've got it

2421
01:26:08,114 --> 01:26:08,614
wrong.

2422
01:26:09,635 --> 01:26:11,395
Yeah. I completely agree. No. I mean, I

2423
01:26:11,395 --> 01:26:12,594
think I would say that a lot of

2424
01:26:12,594 --> 01:26:14,135
times in the end of the conversation.

2425
01:26:14,675 --> 01:26:16,935
They really wanna stretch it in that direction.

2426
01:26:17,715 --> 01:26:19,954
I find that once they have that that

2427
01:26:19,954 --> 01:26:22,399
talking point, they really push it in that

2428
01:26:22,399 --> 01:26:22,899
direction.

2429
01:26:23,520 --> 01:26:24,020
Every

2430
01:26:24,560 --> 01:26:25,539
every area

2431
01:26:26,479 --> 01:26:29,039
that's related, they push it in that direction.

2432
01:26:29,039 --> 01:26:31,199
So I think this is the result of

2433
01:26:31,199 --> 01:26:31,699
oversimplifying.

2434
01:26:33,039 --> 01:26:35,375
Yeah. I would agree. Most definitely. And so

2435
01:26:35,375 --> 01:26:36,975
to to bring this to a final point

2436
01:26:36,975 --> 01:26:38,815
for kind of on the way out where

2437
01:26:38,815 --> 01:26:40,095
we see this going a little bit of

2438
01:26:40,095 --> 01:26:42,175
a, a hypothesis of where we might think

2439
01:26:42,175 --> 01:26:43,875
this is gonna go next with the administration.

2440
01:26:44,095 --> 01:26:45,775
But I wanna end with the to highlight

2441
01:26:45,775 --> 01:26:48,060
2 things. First that as I'm sure you're

2442
01:26:48,060 --> 01:26:51,340
well aware, self amplifying RNA injections for COVID

2443
01:26:51,340 --> 01:26:53,340
are, like, are already in the process of

2444
01:26:53,340 --> 01:26:55,899
being used. Trump's administration, most parts of it

2445
01:26:55,899 --> 01:26:57,359
seem to be in a lot of ways

2446
01:26:57,500 --> 01:26:59,659
hyping that as a possible future for cancer

2447
01:26:59,659 --> 01:27:00,960
and a lot of different things.

2448
01:27:01,395 --> 01:27:03,795
CDC is still adamantly act telling you to

2449
01:27:03,795 --> 01:27:05,554
take these things 6 months or older and

2450
01:27:05,554 --> 01:27:06,914
so on. And so I want your thoughts

2451
01:27:06,914 --> 01:27:08,835
on the way out. You recently shared an,

2452
01:27:08,994 --> 01:27:11,635
an article from Decensored News. Elon Musk partners

2453
01:27:11,635 --> 01:27:13,795
with Gates funded biotech company to produce m

2454
01:27:13,795 --> 01:27:15,255
r a mRNA microfactories.

2455
01:27:15,989 --> 01:27:17,750
TLAB, we've also written about this back in

2456
01:27:17,750 --> 01:27:18,649
October 2022.

2457
01:27:19,109 --> 01:27:20,869
And just your thoughts simply on, you know,

2458
01:27:20,869 --> 01:27:22,489
as you said, the kind of context

2459
01:27:22,869 --> 01:27:24,229
I I want you to say something on

2460
01:27:24,229 --> 01:27:26,229
the way out with Trump's administration. Go ahead.

2461
01:27:26,229 --> 01:27:26,729
Yeah.

2462
01:27:27,510 --> 01:27:29,189
Yeah. I I I think it's important to

2463
01:27:29,189 --> 01:27:30,090
realize that

2464
01:27:31,104 --> 01:27:32,005
just because

2465
01:27:32,545 --> 01:27:33,045
they

2466
01:27:33,505 --> 01:27:35,764
invest money in developing something

2467
01:27:36,465 --> 01:27:37,685
and get patents

2468
01:27:38,385 --> 01:27:40,864
and make industry to make it and then

2469
01:27:40,864 --> 01:27:43,310
distribute it, get government to say that all

2470
01:27:43,310 --> 01:27:45,150
your animals have to have this, and they

2471
01:27:45,150 --> 01:27:46,750
distribute it, and all of you have to

2472
01:27:46,750 --> 01:27:49,150
be injected. Just because they say all those

2473
01:27:49,150 --> 01:27:51,390
things and they do it does not mean

2474
01:27:51,390 --> 01:27:52,930
that the actual technology

2475
01:27:53,710 --> 01:27:55,730
that they have this cartoon describing

2476
01:27:56,510 --> 01:27:57,489
actually works.

2477
01:27:58,045 --> 01:28:00,125
It actually does what they say it does.

2478
01:28:00,125 --> 01:28:02,465
Doesn't mean that at all. All it means

2479
01:28:02,524 --> 01:28:04,684
is they're making a lot of money from

2480
01:28:04,684 --> 01:28:06,524
this. That's what it means. They're gonna be

2481
01:28:06,524 --> 01:28:08,844
selling this thing, whatever it is, whether it

2482
01:28:08,844 --> 01:28:10,385
does what they say or not.

2483
01:28:11,270 --> 01:28:13,350
Use it the public money is gonna be

2484
01:28:13,350 --> 01:28:16,149
purchasing it at an incredibly high price. So

2485
01:28:16,149 --> 01:28:18,229
it's gonna be a transfer of funds from

2486
01:28:18,229 --> 01:28:18,890
the public

2487
01:28:19,430 --> 01:28:20,489
to these mega

2488
01:28:20,949 --> 01:28:23,770
corporations that are controlled by the deep state

2489
01:28:24,105 --> 01:28:27,385
that in turn spend money overthrowing governments all

2490
01:28:27,385 --> 01:28:28,204
over the world

2491
01:28:28,585 --> 01:28:32,265
and and and surveilling us and developing social

2492
01:28:32,265 --> 01:28:34,265
media to control us and all these things

2493
01:28:34,265 --> 01:28:36,284
that these that these multibillionaires

2494
01:28:36,824 --> 01:28:38,204
do and and their corporations.

2495
01:28:38,960 --> 01:28:41,600
That's what it means. It means transfer of

2496
01:28:41,600 --> 01:28:42,100
funds

2497
01:28:42,479 --> 01:28:44,179
from the public, from everyone

2498
01:28:44,719 --> 01:28:46,880
to these entities that then in turn control

2499
01:28:46,880 --> 01:28:47,380
us

2500
01:28:47,840 --> 01:28:48,340
irrespective

2501
01:28:48,960 --> 01:28:49,539
of this

2502
01:28:50,079 --> 01:28:51,060
of the discussion

2503
01:28:51,760 --> 01:28:52,659
of the technology.

2504
01:28:53,244 --> 01:28:55,564
The technology could just be cartoons. It could

2505
01:28:55,564 --> 01:28:57,885
just just be bogus. And I think I

2506
01:28:57,885 --> 01:28:59,645
think that's what's happening a lot of the

2507
01:28:59,645 --> 01:29:00,145
time.

2508
01:29:00,524 --> 01:29:01,425
I don't believe

2509
01:29:02,045 --> 01:29:04,305
this a lot of these genomics

2510
01:29:04,765 --> 01:29:05,585
fairy tales.

2511
01:29:06,079 --> 01:29:08,000
Okay? And I don't believe that they can

2512
01:29:08,000 --> 01:29:09,840
do this. I I I don't I don't

2513
01:29:09,840 --> 01:29:10,340
think

2514
01:29:10,880 --> 01:29:11,619
they can,

2515
01:29:12,479 --> 01:29:15,519
have a virus that that makes cows fart

2516
01:29:15,519 --> 01:29:18,079
less. You know? There's just no no way

2517
01:29:18,079 --> 01:29:20,079
in my mind that that these things are

2518
01:29:20,079 --> 01:29:22,305
real. This is not about

2519
01:29:22,845 --> 01:29:24,305
whether or not it's real,

2520
01:29:25,005 --> 01:29:27,885
the the technology. And and and it's easy

2521
01:29:27,885 --> 01:29:29,805
for them to fund scientists to say that

2522
01:29:29,805 --> 01:29:30,545
it's real.

2523
01:29:30,845 --> 01:29:33,324
And it's easy for them for those results

2524
01:29:33,324 --> 01:29:34,765
to be published in the top journals. They

2525
01:29:34,765 --> 01:29:36,385
control everything. Okay?

2526
01:29:36,820 --> 01:29:38,820
They they they control all the editors, all

2527
01:29:38,820 --> 01:29:40,820
the journals. All the scientists are funded by

2528
01:29:40,820 --> 01:29:43,220
them. All the scientists that don't wanna play

2529
01:29:43,220 --> 01:29:43,720
ball,

2530
01:29:44,260 --> 01:29:46,039
can't publish and lose their careers.

2531
01:29:46,659 --> 01:29:49,699
They control everything. So they can make up

2532
01:29:49,699 --> 01:29:50,199
whatever

2533
01:29:50,965 --> 01:29:52,104
crap suits them,

2534
01:29:53,045 --> 01:29:55,385
make nice cartoons about how it works,

2535
01:29:56,164 --> 01:29:57,784
and then sell it to you

2536
01:29:58,404 --> 01:30:00,104
and impose it upon you.

2537
01:30:00,645 --> 01:30:03,864
And that is basically, that is a scam.

2538
01:30:04,244 --> 01:30:05,625
That is what I would call

2539
01:30:06,340 --> 01:30:09,300
a protection scam. It's protection money. It's you

2540
01:30:09,300 --> 01:30:11,460
you you you pay to be protected from

2541
01:30:11,460 --> 01:30:13,140
all these terrible things that could happen to

2542
01:30:13,140 --> 01:30:13,640
you.

2543
01:30:13,940 --> 01:30:17,320
So the the the the US regime

2544
01:30:18,045 --> 01:30:20,625
is running a lot of protection outfits.

2545
01:30:21,005 --> 01:30:23,905
1 is the sell the sale of,

2546
01:30:24,284 --> 01:30:26,545
weapons to its so called allies.

2547
01:30:27,005 --> 01:30:28,845
You have to pay enormous amounts of money

2548
01:30:28,845 --> 01:30:31,005
to get these weapons systems to protect you

2549
01:30:31,005 --> 01:30:31,505
against

2550
01:30:31,829 --> 01:30:35,270
those other people. Well, that's that's straight transfer.

2551
01:30:35,270 --> 01:30:36,810
That's protection money. Okay?

2552
01:30:37,349 --> 01:30:39,929
And the same is true of pharma. Pharma

2553
01:30:40,069 --> 01:30:40,969
is a protection

2554
01:30:41,590 --> 01:30:42,090
racket

2555
01:30:42,630 --> 01:30:43,130
industry.

2556
01:30:43,945 --> 01:30:45,945
They're going to protect you. You're not gonna

2557
01:30:45,945 --> 01:30:47,645
die from these horrible diseases.

2558
01:30:48,185 --> 01:30:50,104
And so the government has to fund all

2559
01:30:50,104 --> 01:30:50,604
this

2560
01:30:51,064 --> 01:30:52,045
garbage technology,

2561
01:30:53,305 --> 01:30:55,645
that they're going to impose on you. So

2562
01:30:55,864 --> 01:30:57,965
I think we have to see it.

2563
01:30:58,529 --> 01:30:59,670
Oh, we have to

2564
01:31:00,289 --> 01:31:01,429
not be blinded

2565
01:31:01,889 --> 01:31:04,529
by all the stories of the technology. And

2566
01:31:04,529 --> 01:31:06,550
and that's a beautiful trick that they play.

2567
01:31:06,770 --> 01:31:10,210
They get you to spend your intellectual energy

2568
01:31:10,210 --> 01:31:12,469
trying to understand what the cartoon is,

2569
01:31:13,125 --> 01:31:14,984
and then you describe it to others,

2570
01:31:15,524 --> 01:31:17,524
and you own it, and you're willing to

2571
01:31:17,524 --> 01:31:20,005
defend it. I I go to cocktail parties

2572
01:31:20,005 --> 01:31:22,965
sometimes, and people will argue with me about

2573
01:31:22,965 --> 01:31:24,505
how these vaccines work.

2574
01:31:25,020 --> 01:31:27,979
And they'll describe all the molecular mechanisms and

2575
01:31:27,979 --> 01:31:29,199
everything. Not realizing

2576
01:31:29,500 --> 01:31:31,899
that these are all cartoons that have not

2577
01:31:31,899 --> 01:31:34,159
been rigorously demonstrated scientifically.

2578
01:31:34,619 --> 01:31:36,880
Right. You know, this, this transfection

2579
01:31:37,340 --> 01:31:38,319
actually work.

2580
01:31:38,939 --> 01:31:40,079
Have you seen it?

2581
01:31:40,614 --> 01:31:41,975
You know, these are the questions you have

2582
01:31:41,975 --> 01:31:44,395
to ask. Does the the really?

2583
01:31:44,854 --> 01:31:47,574
Can can you reproduce a virus in a

2584
01:31:47,574 --> 01:31:49,515
body that will then spread to others?

2585
01:31:49,975 --> 01:31:52,795
Come on now. Let's let's try and establish

2586
01:31:52,935 --> 01:31:53,435
scientifically

2587
01:31:53,895 --> 01:31:56,369
using rigorous methods, whether that's real or not.

2588
01:31:56,530 --> 01:31:59,090
It's certainly a nice story. And once once

2589
01:31:59,090 --> 01:32:01,250
you get people used to learning it in

2590
01:32:01,250 --> 01:32:01,750
school,

2591
01:32:02,050 --> 01:32:04,050
learning it in the media, and then describing

2592
01:32:04,050 --> 01:32:04,789
it to others,

2593
01:32:05,250 --> 01:32:07,970
they invest themselves in it. They will defend

2594
01:32:07,970 --> 01:32:09,844
it, and it becomes real.

2595
01:32:10,304 --> 01:32:10,804
And

2596
01:32:11,184 --> 01:32:13,664
imagine if it was not real, in the

2597
01:32:13,664 --> 01:32:15,904
end result, if it's not real, then what

2598
01:32:15,904 --> 01:32:18,545
is what is happening here? Public money is

2599
01:32:18,545 --> 01:32:19,364
being transferred

2600
01:32:19,744 --> 01:32:21,344
to the deep state so that it can

2601
01:32:21,344 --> 01:32:23,364
control us better. That's what's happening.

2602
01:32:23,779 --> 01:32:25,159
Right. It's a protection racket.

2603
01:32:25,539 --> 01:32:27,539
So I think we have to we have

2604
01:32:27,539 --> 01:32:29,859
to use that kind of those we have

2605
01:32:29,859 --> 01:32:31,460
to put those kinds of glasses on every

2606
01:32:31,460 --> 01:32:33,140
once in a while and not be blinded

2607
01:32:33,140 --> 01:32:34,119
by all this

2608
01:32:34,819 --> 01:32:38,435
garbage talk of what I would call pseudoscience

2609
01:32:38,734 --> 01:32:40,034
in a lot of cases. Now

2610
01:32:40,654 --> 01:32:42,974
scientists who in who have published in this

2611
01:32:42,974 --> 01:32:45,314
area, who are invested in their careers,

2612
01:32:45,694 --> 01:32:47,954
they get very angry with me.

2613
01:32:48,734 --> 01:32:50,034
They they

2614
01:32:50,335 --> 01:32:52,800
they get they get completely pissed. But how

2615
01:32:52,800 --> 01:32:54,020
can you be so

2616
01:32:54,399 --> 01:32:56,479
thick headed. You know, there are thousands of

2617
01:32:56,479 --> 01:32:58,579
articles about this. And yeah.

2618
01:32:59,039 --> 01:32:59,539
But

2619
01:33:00,079 --> 01:33:02,420
more bias doesn't remove the bias.

2620
01:33:02,800 --> 01:33:05,300
Right. Right. If you if you're just confirming

2621
01:33:05,439 --> 01:33:07,280
what others have said and you're using the

2622
01:33:07,280 --> 01:33:10,155
same techniques to confirm it, you haven't gotten

2623
01:33:10,155 --> 01:33:11,675
to the heart of it. You haven't really

2624
01:33:11,675 --> 01:33:13,774
demonstrated what you what what you're talking about.

2625
01:33:14,074 --> 01:33:15,675
Right. And there and there's plenty of studies

2626
01:33:15,675 --> 01:33:17,195
these days that show I think of Asim

2627
01:33:17,195 --> 01:33:19,295
Maholter's one that pointed it out pretty publicly

2628
01:33:19,354 --> 01:33:22,060
early 20 22 ish about that show that

2629
01:33:22,060 --> 01:33:23,500
any get in any given moment, half of

2630
01:33:23,500 --> 01:33:25,420
the studies that are published are ultimately false

2631
01:33:25,420 --> 01:33:27,100
or any some number some metric like that.

2632
01:33:27,100 --> 01:33:28,859
I forget what the number is. There's no

2633
01:33:28,859 --> 01:33:29,359
doubt.

2634
01:33:29,899 --> 01:33:31,520
There's no doubt. In fact,

2635
01:33:32,300 --> 01:33:33,600
I would say that

2636
01:33:34,435 --> 01:33:34,935
99%

2637
01:33:35,715 --> 01:33:38,694
of medical trials nowadays have to be false.

2638
01:33:38,755 --> 01:33:41,975
They're completely funded and controlled by the industry.

2639
01:33:42,515 --> 01:33:45,154
Yeah. At which price? They buy the scientists

2640
01:33:45,154 --> 01:33:46,675
who write it in the in in the

2641
01:33:46,859 --> 01:33:49,179
for the journals. They buy the editors. They

2642
01:33:49,179 --> 01:33:51,659
buy the journals. They control the trial at

2643
01:33:51,659 --> 01:33:53,659
every step of the way. If the results

2644
01:33:53,659 --> 01:33:55,179
are not going in the direction they want,

2645
01:33:55,179 --> 01:33:57,100
they put an end to the trial or

2646
01:33:57,100 --> 01:33:58,159
they select

2647
01:33:58,460 --> 01:34:00,779
some of the some of the patients from

2648
01:34:00,779 --> 01:34:03,074
the trial that they're gonna study and let

2649
01:34:03,074 --> 01:34:06,215
go the others, they manipulate these trials from

2650
01:34:06,274 --> 01:34:07,654
A to Z.

2651
01:34:08,435 --> 01:34:11,654
In every detail, they have complete legal control.

2652
01:34:11,875 --> 01:34:13,255
The scientists who participate

2653
01:34:13,715 --> 01:34:15,975
to recruit patients, they all have to sign

2654
01:34:16,729 --> 01:34:17,229
contracts.

2655
01:34:18,090 --> 01:34:20,429
The patients themselves have to sign contracts.

2656
01:34:21,210 --> 01:34:21,949
This is

2657
01:34:22,250 --> 01:34:23,550
complete propaganda.

2658
01:34:24,250 --> 01:34:25,949
Signed medical trials

2659
01:34:26,250 --> 01:34:26,989
have become

2660
01:34:27,289 --> 01:34:28,189
complete propaganda

2661
01:34:28,810 --> 01:34:29,550
to sell

2662
01:34:30,010 --> 01:34:30,510
drugs.

2663
01:34:31,065 --> 01:34:33,465
That's what they are. So that means that

2664
01:34:33,465 --> 01:34:35,805
anytime you see a paper about this stuff,

2665
01:34:36,185 --> 01:34:38,025
even though it looks good and it sounds

2666
01:34:38,025 --> 01:34:39,704
good and it's double blinded and all of

2667
01:34:39,704 --> 01:34:41,085
this, it's necessarily

2668
01:34:41,545 --> 01:34:42,284
all garbage.

2669
01:34:43,159 --> 01:34:45,960
Interesting. I I discovered a fantastic book that

2670
01:34:45,960 --> 01:34:48,599
describes this in great detail recently. It's written

2671
01:34:48,599 --> 01:34:51,960
by, Peter Gotze. It's called Deadly Medicines and

2672
01:34:51,960 --> 01:34:53,020
Organized Crime.

2673
01:34:53,639 --> 01:34:55,819
I highly recommend it. It's an amazing

2674
01:34:56,234 --> 01:34:58,255
book that goes in I love the title.

2675
01:34:59,114 --> 01:35:01,994
Yeah. It goes into great detail about the

2676
01:35:01,994 --> 01:35:04,654
extent to which there is complete

2677
01:35:05,114 --> 01:35:05,614
capture

2678
01:35:06,395 --> 01:35:09,215
and control of the entire enterprise.

2679
01:35:10,539 --> 01:35:12,140
Well, so let let let's end with this

2680
01:35:12,140 --> 01:35:13,979
point then about, you know, the so right

2681
01:35:13,979 --> 01:35:15,260
now, the reason I asked that, and I'm

2682
01:35:15,500 --> 01:35:17,260
what you just highlighted is very important, is

2683
01:35:17,260 --> 01:35:18,619
there's a lot of people right now that

2684
01:35:18,619 --> 01:35:20,239
seem to think that the current administration

2685
01:35:20,619 --> 01:35:22,140
is gonna take it in a better direction,

2686
01:35:22,140 --> 01:35:23,465
that they're gonna save us from what we're

2687
01:35:23,465 --> 01:35:25,225
highlighting right now. So I want your thoughts

2688
01:35:25,225 --> 01:35:27,305
on that. You know, the reason I highlighted

2689
01:35:27,305 --> 01:35:29,005
that overlap there is that for me,

2690
01:35:29,625 --> 01:35:31,225
just in regard to the injection and the

2691
01:35:31,225 --> 01:35:34,024
mRNA technology, I'm very alarmed about the the

2692
01:35:34,024 --> 01:35:36,590
the how, like, embedded like a tick it

2693
01:35:36,590 --> 01:35:38,429
is in his administration right now. But then

2694
01:35:38,429 --> 01:35:40,510
the overlapping part that you highlighted, they also

2695
01:35:40,510 --> 01:35:42,109
seem to be very well, I guess, let's

2696
01:35:42,109 --> 01:35:43,389
put it this way, to be objective and

2697
01:35:43,389 --> 01:35:45,010
fair, at least in some directions,

2698
01:35:45,550 --> 01:35:47,310
more so leaning towards war. I would say

2699
01:35:47,310 --> 01:35:49,149
Iran is an obvious one. And so maybe

2700
01:35:49,149 --> 01:35:50,050
all these combined,

2701
01:35:50,375 --> 01:35:51,814
do you see this do you see this

2702
01:35:51,814 --> 01:35:53,654
getting better or worse with what we're discussing

2703
01:35:53,654 --> 01:35:55,114
today with the incoming administration?

2704
01:35:55,895 --> 01:35:57,755
Oh, there there is going to be,

2705
01:35:58,295 --> 01:35:59,515
complete continuity

2706
01:36:00,135 --> 01:36:01,675
in the deep state programs.

2707
01:36:02,390 --> 01:36:04,470
There's no doubt about that. It's it's gonna,

2708
01:36:04,470 --> 01:36:06,310
you know, it's gonna be arguments. It's gonna

2709
01:36:06,310 --> 01:36:08,970
be flare ups. It's gonna be, people opposing

2710
01:36:09,350 --> 01:36:09,930
each other,

2711
01:36:10,550 --> 01:36:13,670
and posturing and everything. But but the the

2712
01:36:13,670 --> 01:36:15,050
the empire, the regime,

2713
01:36:16,229 --> 01:36:17,885
it has the project

2714
01:36:18,585 --> 01:36:20,444
to destroy all competitors.

2715
01:36:21,465 --> 01:36:23,864
And it's a long term project that's been

2716
01:36:23,864 --> 01:36:25,804
spelled out in writing for decades.

2717
01:36:26,344 --> 01:36:28,045
And that that the plan to,

2718
01:36:28,505 --> 01:36:30,024
destroy the Middle East the way that it

2719
01:36:30,024 --> 01:36:32,184
has done and to eventually attack Iran has

2720
01:36:32,184 --> 01:36:33,689
been on the books for a long time.

2721
01:36:34,310 --> 01:36:34,810
And,

2722
01:36:36,069 --> 01:36:38,789
the same is true of how pharma fits

2723
01:36:38,789 --> 01:36:41,590
into this as a protection racket. There's no

2724
01:36:41,590 --> 01:36:43,050
way they're gonna give that up.

2725
01:36:43,430 --> 01:36:44,489
It's too important.

2726
01:36:44,869 --> 01:36:47,744
The the same goes for complete surveillance and

2727
01:36:47,744 --> 01:36:49,904
complete control of everything you do and everything

2728
01:36:49,904 --> 01:36:51,284
you can do and even your your

2729
01:36:52,064 --> 01:36:53,125
your your guns

2730
01:36:53,664 --> 01:36:56,805
and your bank accounts and everything. Your cars,

2731
01:36:57,104 --> 01:36:58,564
whether or not you can travel,

2732
01:36:58,980 --> 01:37:00,739
electric car that can turn off anytime, and

2733
01:37:00,739 --> 01:37:03,220
so on and so on. That project of

2734
01:37:03,220 --> 01:37:04,039
complete control

2735
01:37:04,820 --> 01:37:06,119
is gonna move forward

2736
01:37:06,579 --> 01:37:08,659
like like it used to the same way.

2737
01:37:08,659 --> 01:37:10,739
It's there's gonna be bare barely a blip

2738
01:37:10,739 --> 01:37:13,055
in the road. Okay? It's it's it's going

2739
01:37:13,055 --> 01:37:16,095
full steam ahead. They might prefer a different

2740
01:37:16,095 --> 01:37:16,595
technology.

2741
01:37:17,215 --> 01:37:19,135
They might choose to different in a slightly

2742
01:37:19,135 --> 01:37:19,954
different way

2743
01:37:20,335 --> 01:37:21,235
and so on,

2744
01:37:21,614 --> 01:37:22,515
you know, to,

2745
01:37:23,055 --> 01:37:23,854
to give some,

2746
01:37:24,649 --> 01:37:26,329
things to their buddies and that kind of

2747
01:37:26,329 --> 01:37:27,310
thing. But, overall,

2748
01:37:27,689 --> 01:37:30,429
we're moving full steam ahead in this project.

2749
01:37:30,969 --> 01:37:33,210
It's it's project deep state to control the

2750
01:37:33,210 --> 01:37:33,710
world.

2751
01:37:34,090 --> 01:37:35,229
That's what it is.

2752
01:37:35,770 --> 01:37:37,710
Yeah. No. I I I okay.

2753
01:37:38,175 --> 01:37:41,055
Yeah. Yeah. I mean, this congressional report is

2754
01:37:41,055 --> 01:37:43,935
is complete propaganda. They they basically say that

2755
01:37:43,935 --> 01:37:46,755
the vaccine saved millions of lives,

2756
01:37:47,295 --> 01:37:48,675
and that Warp Speed

2757
01:37:49,055 --> 01:37:50,755
was a fantastic success.

2758
01:37:51,569 --> 01:37:53,329
And, you know, you you can tell that

2759
01:37:53,329 --> 01:37:55,189
it's it's just complete propaganda.

2760
01:37:55,649 --> 01:37:57,829
The some of the MDs are happy because

2761
01:37:58,289 --> 01:37:59,829
they said that,

2762
01:38:00,929 --> 01:38:02,550
off label use of medication

2763
01:38:02,929 --> 01:38:04,310
should be up to the MDs,

2764
01:38:05,010 --> 01:38:06,789
and they see that as a great victory.

2765
01:38:07,145 --> 01:38:07,645
Well,

2766
01:38:09,225 --> 01:38:10,984
I don't think if that's the only victory

2767
01:38:10,984 --> 01:38:12,664
in there, that's not a very big victory

2768
01:38:12,664 --> 01:38:14,744
because you what you have to remember is

2769
01:38:14,744 --> 01:38:15,965
that it is pharma

2770
01:38:16,344 --> 01:38:19,064
that has pushed for off label use of

2771
01:38:19,064 --> 01:38:21,805
medications because they sell way more drugs

2772
01:38:22,119 --> 01:38:24,039
if you can convince a lot of MDs

2773
01:38:24,039 --> 01:38:24,699
to use

2774
01:38:25,079 --> 01:38:28,439
whatever poison they're selling off label. Okay? Well,

2775
01:38:28,439 --> 01:38:30,359
I don't And so there there's there's the

2776
01:38:30,359 --> 01:38:31,420
whole that whole

2777
01:38:32,199 --> 01:38:32,699
mindset

2778
01:38:33,319 --> 01:38:36,300
of the MD just does whatever he thinks

2779
01:38:36,994 --> 01:38:39,715
and uses off label drugs, which themselves were

2780
01:38:39,715 --> 01:38:42,274
not even the trials are invalid for the

2781
01:38:42,274 --> 01:38:44,514
primary use of those drugs. So you can

2782
01:38:44,514 --> 01:38:46,534
imagine that there's absolutely no

2783
01:38:47,074 --> 01:38:50,034
safety controls on off label use, and they

2784
01:38:50,034 --> 01:38:51,414
see that as a big victory.

2785
01:38:51,840 --> 01:38:52,340
Well,

2786
01:38:52,880 --> 01:38:56,800
I'm all for individual freedom, not medical freedom

2787
01:38:56,800 --> 01:38:59,119
of professionals that want to have the privilege

2788
01:38:59,119 --> 01:39:00,260
of doing this. Okay?

2789
01:39:00,640 --> 01:39:02,100
I'm for individuals

2790
01:39:02,479 --> 01:39:05,060
learning about their bodies, learning about health,

2791
01:39:05,439 --> 01:39:06,340
being critical,

2792
01:39:06,744 --> 01:39:07,805
thinking for themselves,

2793
01:39:08,265 --> 01:39:10,265
and not being dependent on people who are

2794
01:39:10,265 --> 01:39:11,784
gonna save them from the fact that they

2795
01:39:11,784 --> 01:39:14,104
got this terrible vaccine, and now they're feeling

2796
01:39:14,104 --> 01:39:16,024
sick. And I can tell you, most people

2797
01:39:16,024 --> 01:39:18,024
are feeling sick right now. It's because of

2798
01:39:18,024 --> 01:39:20,104
the trauma you were subjected to more than

2799
01:39:20,104 --> 01:39:20,925
anything else.

2800
01:39:21,550 --> 01:39:24,670
Yeah. I I Nobody's addressing nobody's addressing that

2801
01:39:24,670 --> 01:39:25,170
trauma.

2802
01:39:25,789 --> 01:39:26,689
Nobody nobody's,

2803
01:39:27,869 --> 01:39:30,289
saying that, okay. We we we need to

2804
01:39:30,829 --> 01:39:31,329
optimize

2805
01:39:31,789 --> 01:39:33,489
the treatment of trauma

2806
01:39:33,935 --> 01:39:36,494
and ensure and and and and strengthen our

2807
01:39:36,494 --> 01:39:38,255
institution and so on so it doesn't happen

2808
01:39:38,255 --> 01:39:41,715
again. Nobody's saying that. So this this congressional

2809
01:39:41,775 --> 01:39:44,595
report did not address the issues whatsoever.

2810
01:39:45,820 --> 01:39:47,579
Yeah. Which I I kind of sadly think

2811
01:39:47,579 --> 01:39:49,420
is part of this long term, you know,

2812
01:39:49,420 --> 01:39:51,420
pacification element that's happening right now. I just

2813
01:39:51,420 --> 01:39:53,260
hope people can listen to what you're saying

2814
01:39:53,260 --> 01:39:54,640
and see beyond the partisan

2815
01:39:55,020 --> 01:39:57,020
kind of veneer that seems to hide the

2816
01:39:57,020 --> 01:39:59,180
the the ongoing agenda. You know? So I

2817
01:39:59,180 --> 01:40:00,699
really thank you for joining me today. I

2818
01:40:00,699 --> 01:40:01,520
think this was

2819
01:40:01,875 --> 01:40:04,594
important for many different reasons. Important to hopefully

2820
01:40:04,594 --> 01:40:06,194
reach some people that still hadn't come to

2821
01:40:06,194 --> 01:40:08,215
terms with the reality of what this was,

2822
01:40:08,354 --> 01:40:10,034
and also people that are still trying to

2823
01:40:10,034 --> 01:40:12,675
rightly so discern what happened. Maybe you can

2824
01:40:12,675 --> 01:40:14,274
find some common ground in here and realize

2825
01:40:14,274 --> 01:40:15,810
that there is, you know, that we're all

2826
01:40:15,810 --> 01:40:17,489
the one all of us are being affected

2827
01:40:17,489 --> 01:40:18,929
by this and try see that we're all

2828
01:40:18,929 --> 01:40:20,449
trying to find our path to to solve

2829
01:40:20,449 --> 01:40:22,770
what's happening and and get beyond it. So

2830
01:40:22,770 --> 01:40:24,210
thank you. Thank you, Danny. I always enjoy

2831
01:40:24,210 --> 01:40:25,409
speaking with you. And hopefully, we can, you

2832
01:40:25,409 --> 01:40:27,250
know, touch base again when you're, newer It

2833
01:40:27,250 --> 01:40:28,310
was a great pleasure.

2834
01:40:29,024 --> 01:40:31,024
I I might make one final comment if

2835
01:40:31,024 --> 01:40:32,244
I may. Please. Please.

2836
01:40:32,784 --> 01:40:34,564
I would encourage people,

2837
01:40:35,505 --> 01:40:36,484
instead of,

2838
01:40:37,265 --> 01:40:38,324
looking for

2839
01:40:38,784 --> 01:40:41,344
easy ways of stating how they understand things,

2840
01:40:41,344 --> 01:40:43,265
which is really important. But in addition to

2841
01:40:43,265 --> 01:40:43,765
that,

2842
01:40:44,899 --> 01:40:48,020
go in and actually read. Try to actually

2843
01:40:48,020 --> 01:40:49,880
read some of some of our reports.

2844
01:40:50,819 --> 01:40:52,899
I mean, it's a little bit complex. There

2845
01:40:52,899 --> 01:40:54,819
are references. Sometimes you have to stop and

2846
01:40:54,819 --> 01:40:57,219
go read something else, come back, try to

2847
01:40:57,219 --> 01:40:58,520
understand what that meant,

2848
01:40:59,725 --> 01:41:01,645
compare with what you just read before and

2849
01:41:01,645 --> 01:41:02,944
so on. It's work.

2850
01:41:03,324 --> 01:41:05,425
But it's it's very intellectually,

2851
01:41:07,324 --> 01:41:09,404
satisfying to come to a point where you

2852
01:41:09,404 --> 01:41:10,064
you can

2853
01:41:10,444 --> 01:41:13,869
develop judgment about what's being expressed. Right. Right.

2854
01:41:13,869 --> 01:41:15,569
And I think that that's what's lacking

2855
01:41:16,109 --> 01:41:18,369
in our society is that people are

2856
01:41:18,750 --> 01:41:19,890
losing the ability

2857
01:41:20,430 --> 01:41:21,810
to analyze for themselves,

2858
01:41:22,189 --> 01:41:24,590
to think for themselves, and judgment, and so

2859
01:41:24,590 --> 01:41:26,689
on. And that's something that we had

2860
01:41:27,164 --> 01:41:28,304
in past decades

2861
01:41:28,844 --> 01:41:31,425
that really protected society in a big way.

2862
01:41:31,885 --> 01:41:34,364
You know? The activists would have learning groups,

2863
01:41:34,364 --> 01:41:37,164
and they would challenge themselves, and they would,

2864
01:41:37,564 --> 01:41:39,484
try to learn things. And and we're we're

2865
01:41:39,484 --> 01:41:42,590
just reducing it all to snippets on social

2866
01:41:42,590 --> 01:41:43,090
media.

2867
01:41:43,710 --> 01:41:45,149
And what I noticed in a lot of

2868
01:41:45,149 --> 01:41:47,069
the comments I see on social media, people

2869
01:41:47,069 --> 01:41:48,689
are not reading whatsoever.

2870
01:41:49,069 --> 01:41:51,149
They're not getting to the bottom of it.

2871
01:41:51,149 --> 01:41:52,369
They're not able to

2872
01:41:52,989 --> 01:41:54,750
see why it is they've come to believe

2873
01:41:54,750 --> 01:41:56,654
something and why they shouldn't believe it.

2874
01:41:57,614 --> 01:41:58,814
Well said. I think it was

2875
01:41:59,854 --> 01:42:01,774
go ahead. Yeah. I I I would plead

2876
01:42:01,774 --> 01:42:03,375
with people to do that. And if you're

2877
01:42:03,375 --> 01:42:04,895
already doing it, that's great. You have to

2878
01:42:04,895 --> 01:42:06,994
know you're in a minority, and you're

2879
01:42:07,295 --> 01:42:10,094
you're very lucky that you're already on that

2880
01:42:10,094 --> 01:42:11,670
track. But if you're

2881
01:42:11,970 --> 01:42:13,829
not, try it out. Try it out.

2882
01:42:14,609 --> 01:42:16,949
Absolutely. I mean, I it's such an important

2883
01:42:17,569 --> 01:42:18,930
note to take on the way out here,

2884
01:42:18,930 --> 01:42:20,850
guys. I mean, this is why I lean

2885
01:42:20,850 --> 01:42:22,850
into the longer form format. The shows we

2886
01:42:22,850 --> 01:42:25,329
do are in-depth conversations about you know, because

2887
01:42:25,329 --> 01:42:26,734
it's different than just being able to read

2888
01:42:26,734 --> 01:42:28,655
a headline and hear how you're supposed to

2889
01:42:28,655 --> 01:42:29,854
frame it is what is what Dave's point,

2890
01:42:29,854 --> 01:42:31,395
as opposed to just, you know,

2891
01:42:31,774 --> 01:42:34,814
regurgitating what you're told versus diving into it,

2892
01:42:34,814 --> 01:42:36,494
understanding it to the point to where you

2893
01:42:36,494 --> 01:42:38,335
can then articulate an opinion as opposed to

2894
01:42:38,335 --> 01:42:39,614
just repeat what you're told. And I think

2895
01:42:39,614 --> 01:42:42,409
that's monumentally important today. And you're right. Social

2896
01:42:42,409 --> 01:42:45,210
media, partisan narratives, it's it's an attempt to

2897
01:42:45,210 --> 01:42:46,970
stop you from seeing this stuff. So thank

2898
01:42:46,970 --> 01:42:48,489
you as always for your work, Denny. It's

2899
01:42:48,489 --> 01:42:51,050
absolutely profound. And we're again, let's let's connect

2900
01:42:51,050 --> 01:42:52,810
again when your new reports come out, follow-up

2901
01:42:52,810 --> 01:42:54,010
on this stuff again. So thank you for

2902
01:42:54,010 --> 01:42:56,385
being here. Sure. And And as always, everybody

2903
01:42:56,385 --> 01:42:58,625
out there questioning everything, come to your own

2904
01:42:58,625 --> 01:43:00,085
conclusions. Stay vigilant.

2905
01:43:00,625 --> 01:43:01,125
All

2906
01:43:01,664 --> 01:43:02,885
gene based vaccines,

2907
01:43:04,304 --> 01:43:05,684
independent of manufacturers,

2908
01:43:07,024 --> 01:43:08,885
produce the same result

2909
01:43:09,890 --> 01:43:10,869
in the vaccinees.

2910
01:43:12,210 --> 01:43:13,750
He has looked at 15

2911
01:43:14,770 --> 01:43:17,170
in the last 4 days. The number has

2912
01:43:17,170 --> 01:43:18,630
been increased to 70

2913
01:43:20,050 --> 01:43:22,625
individuals who died after vaccination.

2914
01:43:23,164 --> 01:43:25,585
These were people who died at home,

2915
01:43:25,965 --> 01:43:26,784
at work,

2916
01:43:27,164 --> 01:43:29,505
in the car, doing their sports,

2917
01:43:29,885 --> 01:43:31,824
etcetera, etcetera, etcetera.

2918
01:43:32,204 --> 01:43:34,225
There's no question now anymore

2919
01:43:35,190 --> 01:43:36,650
about what is going on

2920
01:43:37,110 --> 01:43:38,890
and the answer is

2921
01:43:39,590 --> 01:43:41,930
in the organs of these people.

2922
01:43:43,030 --> 01:43:43,930
In 90%,

2923
01:43:44,949 --> 01:43:45,770
he found

2924
01:43:46,789 --> 01:43:47,289
clear

2925
01:43:48,675 --> 01:43:50,534
evidence for autoimmune

2926
01:43:51,395 --> 01:43:52,135
self attack

2927
01:43:52,594 --> 01:43:53,895
by killer lymphocytes.