Stanford Professor: Fauci's Credibility Is 'Entirely Shot'

NN ^ | 06-07-21 | Jay Greenberg

[McQ444]

One of America's leading medical experts has slammed Dr. Anthony Fauci in a scathing statement, declaring that the U.S. National Institute of Allergy and Infectious Diseases director's credibility is "entirely shot." Fauci has been facing mounting backlash after the recent release of his emails show him saying one thing in private and another in public.

[rktman]

Yeah but who’s more likely to be “cancelled”? This person or little mengele.

[Sacajaweau]

Fauci pulled the same sh** with AIDS....went for the vaccine...ignored ALL the therapeutics. And no one would dare call it a homosexual disease and BEHAVORIAL...despite that fact.

But here we are with COVID, totally BEHAVIORAL...touching, coughing, breathing.

Fauci has screwed up twice. AIDS should have been enough to dump him.

[brookwood]

Never has the term “pot calling the kettle black” been more appropriate. Bhattacharya, the “expert”, (pathological dissembler, liar with fake statistics about infection fatality rates) tried for 3 months in 2020 to claim that Covid was “just the flu”. 600 thousand deaths later, he says Fauci has no credibility??????

[P-Marlowe]

And you believe FauxChi.

[ProtectOurFreedom]

I don't understand why you are critical of Bhattacharya. His work on the fatality rate of COVID base on his early analysis of Santa Clara County residents infection and fatality rates was good work and proven later on in many studies. I don't recall him ever saying it was "just the flu." He was pointing out (correctly) that it wasn't the Black Plague and we should get on with our lives without the draconian lockdowns that caused orders of magnitude more problems than the disease itself did. He correctly pointed out that the disease is deadly for older people, especially those over 70, and NOT deadly for children.

Imprimis Magazine
A Sensible and Compassionate Anti-COVID Strategy
October 2020
Volume 49, Number 10
By Jay Bhattacharya

Seroprevalence is what I worked on in the early days of the epidemic. In April, I ran a series of studies, using antibody tests, to see how many people in California’s Santa Clara County, where I live, had been infected. At the time, there were about 1,000 COVID cases that had been identified in the county, but our antibody tests found that 50,000 people had been infected—i.e., there were 50 times more infections than identified cases. This was enormously important, because it meant that the fatality rate was not three percent, but closer to 0.2 percent; not three in 100, but two in 1,000.

When it came out, this Santa Clara study was controversial. But science is like that, and the way science tests controversial studies is to see if they can be replicated. And indeed, there are now 82 similar seroprevalence studies from around the world, and the median result of these 82 studies is a fatality rate of about 0.2 percent—exactly what we found in Santa Clara County.

...Whereas COVID is not deadly for children, for older people it is much more deadly than the seasonal flu. If you look at studies worldwide, the COVID fatality rate for people 70 and up is about four percent—four in 100 among those 70 and older, as opposed to two in 1,000 in the overall population. Here are the CDC data from today that confirm EXACTLY what Bhattacharya in March 2020...

[bgill]

How much is Fauxi getting to keep Gates out of the news?

[yefragetuwrabrumuy]

Dr. Anthony “Davros” Fauci

[1Old Pro]

Yet Fauci still is on his never ending media tour to spread lies and welcome the media support. Today he’s on Regis and Katy with Dr. Jill.

[chopperk]

Dr. Fauci is individually responsible for the deaths of thousands of Covid patients in this country. He could have supported HCQ and Ivermectin and saved millions of lives around the world, but his ties to Big Pharma clouded his judgement.

[DPMD]

It’s no secret that decades in elective office thoroughly corrupts, but this fauci shows that endless decades in government civil service corrupts just as absolutely.

[NWFree]

“ One of America’s leading medical experts has slammed Dr. Anthony Fauci in a scathing statement”

If he’s such an ‘expert’ why did it take him a year to cop a clue?!

We’ve know about dr foni for a LONG time.

[upchuck]

One of these days y’all at nnettle.com are gonna shock everyone by doing some original reporting instead of this copycat trash.

https://freerepublic.com/focus/f-news/3965357/posts

[Eagles6]

I know nothing about this guy, but seriously, there haven’t been 600,000 deaths from this.

[brookwood]

Can you divide 32,000 into 75 million? - get a calculator. The result is .43 percent. 32,000 people died in New York City of Covid. The population of New York City is 7.5 million. .43% of NYC died. Did everyone in NYC have Covid? of course not. So the minimum possible “infection fatality rate” is .43%. Using a more reasonable assumption about how many people in NYC had Covid (I know about 20 people in NYC and none of them had it), say 30 percent were infected - that gives an infection fatality rate of 1.2%.
There are 34 million diagnosed cases of Covid, and 600,000 dead in the US. That’s about 1.7%. Bhattacharya is a liar and and idiot and I just proved it. His phony study in Santa Clara study result was from an area which had practically no Covid, so false positives from the serology test gave him the garbage result he was looking for. Disgusting.

[brookwood]

You could look it up
www.worldometers.info/coronavirus

[ProtectOurFreedom]

“I just proved it”

In your fevered imagination.

[lurk]

Thanks for the eval, prof. Demonstrating that Stanford is only 14 months behind the curve.

[Eagles6]

I understand that's the "official" count but even the CDC was forced to admit that only 6% died solely from covid19.

There are huge economic incentives to label any and every death to be covid 19.

Has anyone noticed that on Jan 21 the official toll was about 225,000 and now it stands at 675,000?

That means that the overwhelming majority have died on Xiden's 4.5 month term and not on President Trump's one year time frame.