The "synthetic clinical trial data" theory suggested by @Jikkyleaks actually has a lot more going for it than people think
For one, it is PRETTY CLEAR that #pfizer is scared to do more clinical trials for its EUAs
Second, by definition, this synthetic data would be statistically consistent. In fact, I think that the entire purpose of synthetic data is to smooth out statistical data anomalies.
I mean, these companies practically BOAST about it. 🤣
It is also consistent with what @IamBrookJackson has said. Recruiting people for the clinical trial was very hard even though a LOT of money was being thrown at the problem.
Synthetic controls can paper over data like below 😂
Finally, it is very interesting that #pfizer waited till May 2022 to release the individual patient CRFs. By then, the booster had already been authorized.
But please don't mind me, I am just one of those nutty conspiracy theorists 😜
normalizing the concept of Vaccine-as-a-Service (VaaS).
It is quite possible that doctors worldwide have convinced themselves that all the push for mRNA vax is worthwhile because it is a "noble lie" which can help cure all the major diseases.
But remember that this is a perpetual revenue stream for the pharma companies, and I imagine it could be a trillion dollar market by end of the decade.
These are some huge incentives at play here.
So I don't expect Pharma to give up this fight too easily.
/3
His is a very unique story because he has treated more COVID patients than the total number of clinical trial participants that were in the original #pfizer vax trial (because he consults via telemedicine)