-
@ Why would I get fat?
2025-04-29 17:12:37
Marty Bent: "This Japanese paper sort of confirms independently the excess cancer mortality after mRNA lipid nanoparticle SARS-CoV-2 vaccination in Japan. This is observation until 2023. It seems like you did a deep dive on this and that's the main reason why I reached out to you. […]"
Kevin McKernan: "The Miki paper, it's a preprint still. […] A lot of this is statistical data that I'm sure others can recapitulate off of public databases. I've seen others make attempts at Japan see similar things. The Miki paper there showed that about 80% of their population took one of these mRNA vaccines. They're about 73% Pfizer versus Moderna but almost exclusively mRNA. 13% of the population took seven, but it's really enriched for the elderly. As I mentioned earlier, 44% over the age of 65 there have seven vaccines in them.
[…]
"Now covid occurred in 2020. They didn't have a tremendous amount of excess mortality during covid. It was when the vaccines rolled out that their excess mortality now dwarfs the [excess mortality seen after the 2011] tsunami. […]
"if you look at the numbers in this paper, […] you add them up, talking 25,000 sort of right as the vaccine rolled out in 2021, then 115,000 excess deaths and it gets up to 112,000. You add up all of this and this is bigger than Hiroshima. […]
"Now the cancer side of this is a little harder to see and the paper goes into this. The problem with looking for cancer is it's sort of a secondary effect […] where you you don't see cancer unless you survive the first assault. The people who are comorbid and weak and got vaccinated and died. Unless you survive that, then you might fall into this cancer bucket. […] What's really interesting about the cancer data is the types of cancers completely switched. […] That's a sign of a new toxin, which really supports there may be some causality here.
[…]
"The types of cancer they were seeing pre-jab were lung, colorectal, stomach and liver. Post-jab this all switched to ovarian, prostate, leukemia, pancreatic and lip, oral & pharyngeal. They point out that these are more estrogen receptor-based types of cancers. That makes sense because there is literature out there showing spike protein having an impact on estrogen receptors. So there's some coherence to the argument as well. There's a mechanism that is plausible. That fills another tenet of Bradford Hill.
[…]
"An important one from Ed Dowd, he's been banging the table on, is that if you ask ChatGPT, 'OK, so there's new cancers that are emerging. What are the drug sales for those new cancers? Are they up or down?' It goes through the market data and pulls them out. OK yes, particular drugs that are used to treat leukemia are up 20%. […] You can dissect the pharmaceutical revenue streams based on the tumor profiles and see if they match that change. And they do. […] This is another data point that I think builds on the thesis.
"Then the third thing you can look at is their M&A activity, their mergers and acquisition activity. they're out buying leukemia companies. Pfizer dropped $2 billion on Trillium and $43 billion on Seagen, so they're on a M&A frenzy for cancer companies right now."
Marty Bent: "That is disgusting."
Kevin McKernan: "Isn't it? Yeah, it's this conveyor belt of crime. It's very 'manufacture the crisis and come and have the solution ready for it.' It's been going on longer than we know. Even the fact that like Fauci, it comes back to some of the same people. Right? Like Fauci is involved in laundering the money to the WHO to create a virus that chain reacts all of this madness to the vaccine, which they have a royalty stream for, to pharma contracts that then next thing you know they're buying cancer companies and coming out with cancer vaccines to treat the the mess they created with the mRNA vaccines. It's one large fiat grift."
npub1k8dxqxgnv2p6ymwkamfrx237qjct3zezsx2xevt6z6nzdgalff3qy94qte with npub1guh5grefa7vkay4ps6udxg8lrqxg2kgr3qh9n4gduxut64nfxq0q9y6hjy @ 11:08–12:50, 14:53–17:01, 18:45–19:20 & 31:43–33:48 https://youtu.be/Gv7KBkbNijg&t=668