Stanford Epidemiologist Studies COVID, Finds It’s Highly Treatable and RARELY a Deadly Disease

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Early last year, Stanford professor John Ioannidis stated that if we didn’t know a new virus called COVID existed, we might just “have casually noted that flu this season seems to be a bit worse than average.” Now Ioannidis has done research that perhaps vindicates that statement, finding that the coronavirus’ infection fatality rate (IFR) in most of the world is less than 0.20 percent — much like that of the flu.

What’s more, the professor concludes that protecting the vulnerable and early treatment could likely reduce that IFR further.

Dr. John Ioannidis has some sterling credentials. After his name at Stanford’s University’s website it states, “Professor of Medicine (Stanford Prevention Research), of Epidemiology and Population Health and by courtesy, of Statistics and of Biomedical Data Science.”

“To boil it down,” explains PJ Media, “he is a medical doctor trained in internal medicine and infectious diseases, specializing in epidemiology, and evaluating medical data to inform decisions.” And what he’s learned about COVID-19 IFRs “should end Covidstan Forever,” the site optimistically states.

Curious about actual China virus IFRs and extrapolating “from confirmed cases, he concluded that, around the world, more than half a billion people have probably been infected with COVID,” writes commentator Andrea Widburg.

“Using that metric, Dr. Ioannidis concluded that most locations around the world have an IFR that’s less than 0.20%,” she continued.

“However, as we’ve also learned, COVID does not attack all people equally,” Widburg further writes. “When Democrat governors, beginning with Cuomo, decimated their elderly by warehousing COVID-infected people in old-age homes, we saw that the elderly are the single largest vulnerable population. Dr. Ioannidis, therefore, decided to look at age-related survival rates, and he came up with survival numbers that, if more widely known, would bring this mad panic to an end.”

Widburg then presents the following survivability numbers, courtesy of PJ Media.

Age Median IFR Survival Rate Estimate
0-19 0.0027% 99.9973%
20-29 0.014% 99.9860%
30-39 0.031% 99.9690%
40-49 0.082% 99.9180%
50-59 0.27% 99.7300%
60-69 0.59% 99.4100%

None of this is surprising or revelatory. Note that the 0-19 survivability number above is almost precisely what the Centers for Disease Control (CDC) said it was last October: 99.997 percent. The other figures also more or less align with CDC 2020 findings.

Most Americans, however, would assume that the numbers are far higher, partially because of media and health-establishment misrepresentation. For example, the NIAID’s Dr. Anthony Fauci has said in the past that SARS-CoV-2 has a “mortality rate” of one percent, which itself had fallen from two or three percent.

But “mortality rate” is the wrong term. In fact, what Fauci was referencing wasn’t even the aforementioned infection fatality rate (IFR) — rather, it was the case fatality rate (CFR). This “is the total number of deaths divided by the total number of people that have the disease’s symptoms,” wrote Medium.com last year, explaining the difference. “In contrast, the IFR is the total number of deaths divided by the total number of people that carry the infection.” (And the “mortality rate” is the total number of deaths divided by the total number of people in the population.)

Fauci’s statement leads people to believe that if they contract the virus, they have a one in 100 chance of dying. This is untrue. In reality, most people’s chances vary between

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[…] skader og død og null kunnskap om langsiktige konsekvenser, mot et virus som er rundt 0,2% dødelig (medium influensa-nivå), når et mye billigere alternativ kan tilbys smittede, med nær […]

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[…] omfattende skader og død og null kunnskap om langsiktige konsekvenser? Mot et virus som er rundt 0,2% dødelig (medium influensa-nivå), når et mye billigere alternativ kan tilbys smittede, med nær 100% […]

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