It was just VAERS data and news reports till the FDA put the warning on the bottle.
Meanwhile, CDC has a whole protocol of what to do if pericarditis or myocarditis develop after the 1st dose: wait till it calms down and give the second dose for peri, have a talk if myo.
And Pfizer seems to have violated their protocol or otherwise have done something iffy with the numbers for the children in their trial: facebook.com/11212376048719…
It’s quite funny that a few months ago you’d be torn apart by the evidence-based internet trolls for mentioning myocarditis because it was an anecdote. lol
So it looks like Pfizer only tested most organs for their vaccine proxy biodistribution up to 48h because it only lasted that long in the liver. But the liver had max concentrations at 8 hours whereas ovaries kept increasing up to the 48h mark.
I can see the argument that these only act from certain templates, but let’s not forget 1) we falsely believed this couldn’t be true & literally called it “the central dogma” for almost a century and 2) it’s commonly believed that some half of our genome was inserted by viruses.
Ok so Crick’s original stating of the dogma in 1957/58 applied the exclusion to protein—>nucleic acid but not to RNA—>DNA, whereas Watson’s 1965 formulation applied it to both, so Watson’s but not Crick’s version had been falsified by reverse transcription.
@whsource I’ve been saying this for many years, and it’s extremely clear on mechanistic considerations alone. Elevated glucose is only a problem in and of itself when it causes osmotic stress sufficient to induce a coma. That’s rare.
@whsource Dicarbonyls such as methylglyoxal are very strongly implicated in the causal pathway to diabetic complications, and insulin dramatically protects against them through causal pathways that are almost irrelevant to hyperglycemia.
@whsource Such that hyperglycemia should almost be regarded as an incidental correlate of insulin signaling deficiency, where it is the latter that causes diabetic complications.
Some back-of-the-envelope math meant only as a thought experiment.
Deaths in 2020 were up 17.6% in 2020, and 68.5% of this was attributed to COVID.
If 25% of COVID deaths are falsely attributed, as in Alameda County, the COVID share drops to 51.4%.
51.4% obviously would have sufficient margin of error to say that half of the excess deaths were COVID, and half were non-COVID.
The non-COVID deaths are at least potentially attributable to lockdown. Supply chains cut off, lack of normal doctor's visits, and things like this compromised medical care.
@coldxman and @wil_da_beast630 I'm listening to your excellent interview and wanted to add something about the call-back studies.
The first thing is that the Bertrand and Mullainathan paper revealed some remarkable "name privilege" within each race. For example, "Brad" got 2.4x as many callbacks as "Neil" and "Kristen" got 64% more than "Emily."