By Jonathan Miltimore, Managing Editor of FEE.org.
"A new NPR report suggests the global response to COVID-19 may have been reached on a flawed premise.
Mounting evidence suggests the coronavirus is more common and less deadly than it first appeared.Many people will recall the fatality risk debate that took place prior to and in the early stages of the lockdowns. There was much discussion over how deadly the virus was and what the collective response to the virus should be.
The evidence comes from tests that detect antibodies to the coronavirus in a person's blood rather than the virus itself.
The tests are finding large numbers of people in the US who were infected but never became seriously ill. And when these mild infections are included in coronavirus statistics, the virus appears less dangerous.
"The current best estimates for the infection fatality risk are between 0.5% and 1%," says Caitlin Rivers, an epidemiologist at the Johns Hopkins Center for Health Security.
That's in contrast with death rates of 5% or more based on calculations that included only people who got sick enough to be diagnosed with tests that detect the presence of virus in a person's body.
Some voices exercised caution.
“The public is behaving as if this epidemic is the next Spanish flu, which is frankly understandable given that initial reports have staked COVID-19 mortality at about 2–3 percent, quite similar to the 1918 pandemic that killed tens of millions of people,” Jeremy Samuel Faust an emergency medicine physician and an instructor at Harvard Medical School, wrote in Slate. “Allow me to be the bearer of good news. These frightening numbers are unlikely to hold.”
Similarly, on March 5 vaccine expert Paul A. Offit, who holds the Maurice R. Hilleman Chair of Vaccinology at the University of Pennsylvania, told Factcheck.org that he believed that the World Health Organization’s 3.4 percent fatality rate figure was too high, suggesting it was well below 1 percent.
“We’re more the victim of fear than the virus,” Offit said, adding that the world was witnessing a “wild overreaction” to the disease.
Voices like those of Faust and Offit were quickly drowned out, however. The 24-hour news cycle fanned collective fear and outrage that more was not being done. Runs on toilet paper and masks ensued. Neil Ferguson, professor of mathematical biology at Imperial College London, predicted millions would die in the “best-case scenario.”"
"A May report from JP Morgan, as well as other evidence, suggests the lockdowns had little to no impact on the spread of COVID-19.
Marko Kolanovic, a physicist and strategist for JP Morgan, pointed out that a majority of nations saw declines in infection rates after the lockdowns were lifted.
“Unlike rigorous testing of new drugs, lockdowns were administered with little consideration that they might not only cause economic devastation but potentially more deaths than Covid-19 itself,” Kolanoviche said.
On the other hand, the Washington Post this week cited studies claiming the lockdown orders prevented hundreds of millions of COVID-19 infections and saved millions of lives.
These findings come with caveats, however. First, one of the studies was submitted on March 22—well before the vast majority of COVID cases had even occurred. The other study was conducted by researchers at the Imperial College of London, the same school from which Ferguson hailed. (He has since resigned after it was discovered that he broke the lockdown protocol he helped design by allowing his married lover to come to his home.)
Ferguson, who in 2005 said up to 200 million might die from bird flu (about 100 did), was asked by The New York Times in March what the best-case scenario was for the US during the COVID pandemic.
“About 1.1 million deaths,” he responded.
As of June 10, Ferguson is off by about a factor of ten. Why we should continue to listen to schools that have already proven to be so disastrously wrong is anyone’s guess. The “chicken little” story comes to mind."
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