With Donald Trump's return to The White House imminent it seems the former president has some unfinished business to deal with. One of the signs is his appointment of Jay Bhattacharya to serve as the next director of the National Institutes of Health.
Before March of 2020, which was when the pandemic criis offficially began, Jay Bhattacharya was a internationally respected professor of medicine at Stanford University who had published more than 135 peer-reviewed papers. Then came the coronavirus. And everything changed.
Dr. Bhattacharya, along with Martin Kulldorff of Harvard University and Oxford University’s Sunetra Gupta, commited the heinous offence of challenging the official narrative about the thret posed by SARS-COV2 virus about how to fight the pandemic: Protect the most vulnerable (the elderly and those with comorbidities) by, among other practices, conducting frequent testing of nursing home staff and visitors that would keep Covid cases to a minimum. For everyone else, especially the young, they advised eliminating restrictions that were silly (shutting down sporting events), deeply harmful (closing schools), or economically disastrous (lockdowns).”
In October 2020 with COVID hysteria, pushed by scare stories in mainstream media, gthering momentum though in fact the worst of the 'pandemic' was over, Dr. Bhattacharya and his colleagues published their views in a statement known as the Great Barrington Declaration, named after the Massachusetts town where they had written it.
What followed can only be described as a campaign to discredit Bhattacharya’s professional reputation and assassinate his character.
Four days after the declaration was published, Francis Collins, then the head of the National Institutes of Health, wrote in an email to Anthony Fauci, then the director of the National Institute of Allergy and Infectious Diseases (NIAID), that the declaration seemed “to be getting a lot of attention” and that “there needs to be a quick and devastating published take down of its premises.” He described Bhattacharya and his two colleagues as “fringe epidemiologists.”
“Some of my colleagues at Stanford wrote me letters basically disowning me,” Bhattacharya would later recall. “It really got nasty.”
The legacy media piled on. The New York Times spoke to scientists who described Bhattacharya as, essentially, a crank. Anthony Fauci told the paper that the Great Barrington Declaration was “total nonsense,” while Rochelle Walensky, then an infectious disease expert at Harvard—and later the head of the Centers for Disease Control and Prevention (CDC) during the Biden administration—said, “I think it’s wrong, I think it’s unsafe, I think it invites people to act in ways that have the potential to do an enormous amount of harm.”Now, with Fauci discredited and the narrative exposed as a politically motivated hoax,Jay Bhattacharya can at last give his version of what really happened in 2020/21. He tells it like this:
‘It is an epidemic that’s hitting the United States and everyone’s worried about what the death rate is from it.
I did some research on the spread of the disease, but I’d been reading the literature on how deadly it was.
So the first reports for H1N1 were really high, 4%, 5% mortality. And I noticed in the literature, there were a whole series of serial prevalence studies, studies, essentially, of antibodies and what they was that for every case of H1N1, there were 50, 100 people that had it that they didn’t identify, the public health hadn’t identified.
So it is on the top of my mind when I saw the World Health Organization in 2020 say that we have a 3% mortality rate. They were very cagey about what they meant, but I knew what they meant. They meant that three out of 100 people that had been identified with COVID died from it. And they were looking at Chinese data, they were looking at Italian data. And the first thought I had was, well, maybe this is like H1… It’s a respiratory disease, respiratory virus. It spreads very, very easily, obviously. It seems likely that many more people have had it than had been identified.
So we did two (serial prevalence studies) actually. We did one in Los Angeles County and we did one in Santa Clara County, which is where Stanford is. We learned that in both LA County and Santa Clara County, there were 40 or 50 infections per case identified. 40 or 50 per case identified.
(Covid is) more deadly than H1N1. So instead of something like a 0.01, 0.02% infection fatality rate, the numbers we got were that it was 0.2%. So two out of 1,000 mortality rate (The World Health Organization said it was 3%).
So the mortality rate is important, but the key point is that the strategy used to control the disease. Up to that point, the strategy, the idea was that if we could find all of the cases of it, test enough, isolate the people that have it so they don’t pass the disease on, then we’ll suppress the disease down to zero.
It’s not a crazy idea. The problem is that if you have a situation in mid April, 2020, where 3, 4% of large Metro centers had evidence of the disease already, you know the disease is very, very infectious, that’s a strategy that cannot work.
The typical finding in these seroprevalence studies is that for people that are under the age of 70, there’s a 0.05% mortality risk. So 99.95% survival after infection for people under 70. For people over 70 it’s 5% mortality. So 95% mortality, 95% survival, a huge difference. It essentially changes smoothly with age. So roughly speaking, I’m 53, my infection fatality rate from these studies is something like 0.2%, 99.8% survival if I get infected.
Secretary of State for Health, Matt Hancock speaking, in the House of Commons, “The Great Barrington Declaration is underpinned by two central claims and both are emphatically false. First, it says that if enough people get COVID, we will reach herd immunity. That is not true. Many infectious diseases never reach herd immunity, such as measles, malaria, AIDS and flu, and with increasing evidence of re-infection,” he’s talking about COVID, “we should have no confidence that we would ever reach herd immunity to COVID, even if everyone caught it. The second central claim is that we can segregate the old and vulnerable on our way to herd immunity. That simply is not possible.”
(Hancock) doesnt understand what herd immunity means. Covid is a coronavirus. The other coronaviruses that are in common circulation in human populations produce colds. And they’re controlled by herd immunity. They’re not always increasing exponentially so that everyone gets it. What happens is they rise and fall with the season. Enough people get it and what herd immunity means is when one person has the infection, they spread it to one or fewer additional people.
it was clear in October of that year of 2020, and even more clear now that if you are infected, you actually gain substantial protection against re-infection. So there was a study that was just released actually recently, but verifies a whole long line of studies. At one year… This is out of Italy. At one year after infection, 0.3% are reinfected.’
Johnson, Hancock et al blew £500bn on a common cold coronavirus.
And Britain is spending £208m on an inquiry that cannot (or will not) even understand (admit) that simple fact.
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