The Wealth Theory of Vaccine Efficacy Confounding Gets a Second Booster
The Vaccine Wars Part XLIX
Pun definitely intended.
After my last article, I received an email from Dr. Pierre Kory. He said he had a different theory to explain false vaccine efficacy (VE): not wealth, but hospital documentation shenanigans. Some of that is explained in a post he made a few weeks back, but this substantial post is not by any means all the evidence:
From his article,
In that conversation with Linda, I was also finally able to confirm a fraud that I had suspected was occurring within U.S hospitals regarding the accuracy (or willful inaccuracy) of the vaccination status listed in the medical record of a patient newly admitted to the hospital. It has long been my strong belief that this fraud drove the U.S data used to support some of the last remaining false narratives (i.e narratives #6 and $7 below) . Note these ever-shifting narratives were all directed at combatting vaccine hesitancy, which as some of you may know, was the primary military objective of the vaccinators.
While I'd heard of such shenanigans, and discussed them a bit in working groups, it's out of my line of sight, so it's a story for somebody else to develop (like…a doctor who worked on the frontlines in hospitals). Fortunately…Dr. Kory has been documenting eye witness reports side-by-side with the propaganda campaign that showers both hospital workers and the general public with the absurd impression that we ever entered an era of a pandemic of the unvaccinated.
But wait, there is nothing at all about our theories that is mutually exclusive. And, in fact, they bolster one another, synergistically. I'll explain.
The Grand Timeline of Corruption: Step 1 is Knowledge
It is likely that the CDC and Big Pharma have well understood wealth effects on vaccine efficacy for quite some time. This is their business, after all.
As Toby Rogers noted a few weeks ago, influenza vaccine efficacy already looks pretty crappy. You see, aggregated VE, just like any statistic produced from grouping demographics that differ by kind with respect to the functional risk variable(s), suffers from a Simpson's paradox, which has a one-way effect of making vaccines look more impressive than they otherwise are. From an ICAN letter to the VRBPAC:
The Grohskopf evidence presented to the FDA can be found here (h/t Toby).
Next, note that the sites involved in the study above overlap substantially (3 out of 7 sites) with the Vaccine Safety Datalink sites where I noted a clear indication of a statistical sieve confounding VE computations.
Do we have further evidence of a statistical sieve and resulting Simpson's paradox?
Yes. Yes, we do. In a study published by the CDC itself focusing on just one of the seven sites (Delahoy et al, 2021), the VE computed to a nice, round ZERO.
I have worked with many other statisticians and data analysts from other fields. These include a lot of bright people, some of whom become well adapted to seeking out the relevant confounders and Simpson's paradoxes in data. It would not simply be shocking, but damn near impossible, that the Simpson's paradoxes in historical VE data has gone unnoticed, and that would mean that the CDC, and hence their pals in Big Pharma, are quite aware of the effect.
The Grand Timeline of Corruption: Step 2 is Stage Managing the Production
It's not good enough to get a little VE out of a Simpson's paradox. If hospital data can be collected, and tells a different story, or if doctors or nurses see the true story with their own eyes, the jig is up. So, if my Zero VE Hypothesis is correct, and authorities knew it, they would need to organize a substantial illusion in the hospital systems.
Do we see evidence of substantial organization of a production?
Yes. Yes, we do.
I'm not sure what you call that, but I'll call it grooming. Aaaaaaaand, now they're all in it together. That's exactly what you'd need if you wanted to pull off what Pierre documents. Aside from the fact that not all hospital staff is even involved in COVID care, it would seem less strange to many who are that patients are suddenly be redirected in ways that organized too many patients unnecessarily under the care of too few nurses, specifically chosen because they were less trained.
But even all that would not be enough to get to a number like 95% efficacy (or the absurdly claimed 99% efficacy). The need to manipulate appearances is strong. So, some of it comes in the form of (1) fake vaccine cards (which anyone willing to have the conversation knows is rampant, but at a cost), and (2) counting lack of hospitalization documentation as lack of vaccination.
But even all that would not be enough to keep the game going forever. But don't worry, the statistical sieves at play have already mapped out the route for us. That's because, as Professor Norman Fenton has noted on numerous occasions, these sieves have a way of declining in effect over time.
Funny how the VE comes from deaths going up in the unvaccinated group without a decline in the vaccinated group…
So, the hospital charade need not be convincing of 95% efficacy for particularly long. After a little while, the authorities come out and declare "Waning efficacy!" (picture below stolen shamelessly from Dr. Kory). This serves as a great excuse to sell hundreds of billions of dollars worth of additional booster shots.
Voila! Now everything can be rolled into a giant ball of confusion with seventeen buckets representing time intervals before and after each dose and booster and with time for antibodies (electrolytes?) to work their magical magicness.
The Grand Timeline of Corruption: Step 3 is Censorship
I don't even have to explain this one. But I wanted to give it the briefest mention because although we have clear evidence of deviously organized propaganda during the plandemonium, what people should understand is the Big Picture altogether. This is how Dr. Kory's theory of faked VE perfectly fits with mine, and they make sense together not even just as two vectors of approach (which is one of the ways published scientific research often gets judged), but as complementary pieces of the same storyline. The county level data I'm using is independent of whether or not somebody's vaccination status gets misrecorded at the hospital.
I'm still setting up a demographically untangled analysis of U.S. County level data that should shed light on Simpson's paradox due to wealth effects. It won't completely unwind the effect because such an effect happens twice—first with aggregation within a county, and then when counties are aggregated into the national picture. And each one of these should add to VE (which the FDA and CDC should admit up front if they're honest, ahem). Hopefully I'll have that done sometime this weekend.
Addendum: The San Diego County data really opens a new angle on this story.