Thread by @ChrisMasterjohn

Explaining the "Hospitalization Paradox"

How a negative PCR test can serve as a marker for systemic inflammation and spike protein toxicity, creating a widely exploited statistical anomaly to make misleading claims about hospitalization.

chrismasterjohnphd.substack.com/p/explaining-t…

I have just written a very extensive piece on what I consider the absolute most important topic of our decade: the core anomaly in COVID data that is exploited worldwide to claim the vaccines are protecting against hospitalization among those who get COVID...

... yet which is at complete odds with the CDC data showing the majority of people hospitalized for COVID-like illness are vaccinated and that the vast majority of them test negative.

While the clinical fate of PCR-negative COVID-like illness is completely unclear, we cannot just ignore it.

Zooming out to capture it, the "Hospitalization Paradox" refers to the fact that the vaccines do not protect against total COVID-like illness at all. When the vaccines have high efficacy against a negative test, all they do is make ill people test negative.

In contexts where they have sub-par efficacy against a negative test — the Johnson and Johnson trial, after 3 months of being vaccinated with no booster, and in the face of increasingly vaccine-resistant variants like delta and omicron —

suddenly they appear to have efficacy against hospitalization, but only among vaccinated people who test positive. The vaccinated people who test negative, by contrast, wind up in the hospital with PCR-negative COVID-like illness.

In this very extensively documented article, I argue that this can be explained by the negative test, during the waning phase,

becoming a marker of vaccine-induced systemic inflammation and the persistence of spike protein in the body, contributing to acute and cumulative spike protein toxicity and possibly spike-induced autoimmunity.

Here it is on Substack:

chrismasterjohnphd.substack.com/p/explaining-t…

My entry into Substack is, I hope, a symbol of speaking out on these scientific topics in a calm, dispassionate, and helpful manner, serving as a public intellectual during these difficult times.

Hence, I have named my Substack, "The Analytical Calm in the Eye of the COVID Data Storm."

Please share, like, and comment on Substack. It will help the algorithm.

But most importantly, please read this article. This anomaly in the data is critical to understand, and we need to create a broad-based movement to discuss it and demand answers to it.