In the @COVIDSelect document released last week there were embedded images containing previously unreleased emails.
One of them blows this whole thing open, and it's from #BatBumEddie Holmes.
"Pressure from on high".
WHO THE HELL IS THAT?
@COVIDSelect It's not possible that Eddie Holmes (affiliated with EcoHealth, Fudan university and the CCP) could have anybody "on high" outside of this group.
They were literally the high priests of virology.
Fauci, Rambaut, Andersen, Bedford, Farrar.
@COVIDSelect @AGHuff It doesn't matter of course. This single email tells you why @edwardcholmes refused multiple FOI requests to the University of Sydney and why he was instructed to retain his emails. He is the person running the show, on behalf of the "on high" priest.
Or priestess.
@COVIDSelect @AGHuff @edwardcholmes And when #BatBumEddie's cover story failed, his buddy #WuhanDom was brought in to continue the lie.
@COVIDSelect @AGHuff @edwardcholmes Whoever on the @COVIDSelect it was that made the PDF forgot that Acrobat only performs a virtual crop of embedded images.
So the full images remained in the document.
In the following tweets I will be posting all the uncovered images.
@CharlesRixey @COVIDSelect Not only did Holmes and Lipkin know that GOF research was going on, but they knew #ProximalOrigins was a lie to cover it up.
"We should add [Ian] as an author. Safety in numbers... he is involved in the GOF"
There are a lot of pharma agents celebrating on twitter recently because the now-conflicted @cochranecollab dropped their standards and published something on HPV vaccination they didn't understand.
To explain it you need to understand the difference between the two studies quoted.
The first (Bergman) analysed a bunch of real studies (including RCTs) and concluded that the effect on cancer couldn't be seen - despite nearly 20 years of follow up.
The second (Henschke) cherry picked a bunch of "real world data" studies and concluded that the vaccine prevented a gazillion cervical cancers, pretending that it analysed 132 million patient records. It did nothing of the sort. What it did was look at two studies, take out the bit where it showed that the vaccine increased the risk of cancer (Kjaer 2021, over 20s) - replicated in multiple country statistics, split them into three studies, ignore the other studies showing the opposite, and ignore the fact that none of this data is verifiable.
Notably, one of the major studies (Palmer 2024, which was found to be seriously flawed) has been excluded from the meta-analysis because it did not show a cancer benefit in the under 16 age group.
It is very difficult to "fix" a randomised controlled trial.
It is very easy to "fix" a meta-analysis of observational studies where the data is "not available".
There is a huge difference between "real" studies and "real world data" studies because the latter are cherry picked or even fully synthetic, and the authors don't have access to the data. They are produced by vested interests groups to sell a narrative.
This was the most corrupted review that Cochrane have ever performed and this time they shot themselves in the foot by contradicting their own reviews. cochranelibrary.com/cdsr/doi/10.10…
your childish insults drew my attention to your lab's quite incredible paper confirming that chronic activation of cGAS-STING, as happens with plasmid-contaminated vaccines, causes cancer.
Retraction Watch busted for collusion with Rolf Marschalek, who is not only part of BioNtech's Goethe university..
but - get this - their Corona fund was pump primed by the Quandt family - infamous for their role in Nazi Germany.
The dude keeps going, but betrays that this is a copycat to a bunch of accounts linked to one dubbed "Penguin" that only appeared when I pointed out the Joe Sansone scam that is being coordinated by Sasha Latypova to derail legal cases.
This is also strange.
The Quentin registry study shows a big jump in vaccination rate by age group but the Bernard study doesn't show the same.
This is more like what a synthetic data set might show based on assumed characteristics of the underlying data.
There are possible explanations for all of these anomalies, but this is the problem with secret registry data:
It's not credible when it conveniently matches a narrative and nobody is allowed to see it.
I'm going to explain why this chart is so important and why @jsm2334 is being disingenuous by ignoring it - whilst making points that undermine the "real world vaccine data" industry.
It's a Kaplan-Meier curve and it obliterates Jeffrey's argument.
Just to go over it... the lines show what proportion of subjects (children) ended up without chronic disease up to 10 years after being studied.
It's called a survival analysis because it's used for cancer survival.
If the red line was a cancer drug it would be a blockbuster
It shows that by the end of the 10 year follow-up, of those that they could still follow up (who stayed in the study) 57% (100-43%) of vaccinated kids had chronic disease (e.g. asthma) and 17% (100-83%) of unvaccinated kids did.