by Steve Kirsch, Steve Kirsch’s newsletter:

That’s the headline from an article by UCSF Professor of Epidemiology and Biostatistics and Medicine Vinay Prasad MD MPH, not some “misinformation spreader.” He’s right.

UCSF Professor of Epidemiology Vinay Prasad MD MPH just published an article entitled “COVID19 vaccines linked to myocarditis, pericarditis, ITP, Guillain Barre Syndrome, Bell’s Palsy, ADEM, PE, Febrile seizures & more.”

In the article, he points out two major reasons that the study of 99 million vaccinated people under-reported safety signals:

TRUTH LIVES on at https://sgtreport.tv/

1. Using electronic health records (EHR) will result in under-reporting of symptoms


2. The comparison rates were not age stratified

Prasad also says, “First, let us be clear, the benefit of COVID vaccination is small, uncertain or not present in several populations… absolute benefits to healthy people under 20, 30 or 40 were always minuscule— bordering on zero— and possibly not present. Available data lacks power to show a benefit in 20 year olds.”

He’s right about that too, but it’s even worse than he said. Much worse.

The study failed to recognize significant signals, and showed evidence that side effects were reduced by vaccination. How is that possible?!?

Professor Prasad should have said “the benefit is zero in all populations.”

I’m unaware of any population that can benefit from these shots. Someone show me. Please.

Secondly, the study appears to be incapable of finding a signal.

Let’s look at Bell’s Palsy for example.

The paper shows a mild signal: OE of 1.05 for Pfizer and 1.25 for Moderna.

But the signal in VAERS is off the charts: virtually every single case of Bell’s palsy ever reported in VAERS in the last 35 years is from the COVID vaccines.

If the mRNA COVID vaccines weren’t strongly causing Bell’s palsy at a higher rate than background, how can we explain this VAERS signal? Nobody wants to explain that.

I tried to engage Roger Seheult MD, founder of Medcram who produced a video on VAERS to explain data like this, but he blocked me.

The block was expected. That’s the way real scientists are supposed to respond to those who challenge their work: you block or ignore all challengers. You never respond because you don’t want to risk having someone make you look bad. It’s always better to leave bad information out there than to have to admit you made a mistake and have your reputation damaged!

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