Coronavirus ‘Could Be Up To Four Times LESS Deadly Than Feared’

COVID-19 might just be four times less mortal than once projected, especially from the now discredited Imperial College Loneon models, a new estimate says.
“A review of antibody surveillance research — which paint a much clearer picture of how many individuals have been infected — suggests the coronavirus has a mortality rate of 0.25 percent, meaning it kills you in every 400 people who get it,” The Daily Mail accounts.

Many coronavirus modelling, for instance, grim Imperial College London Factor which cautioned 500,000 Brits could perish with actions and convinced ministers to inflict a lockdown, are predicated on a death rate of about 1 percent. For comparison, seasonal influenza is estimated to kill approximately 0.1 percent of individuals.
The new estimate was based on statistics by 23 different testing studies carried out globally, which indicated the true mortality rate ranged from as low as 0.02 to as high as 0.78 percent.

The Imperial College London model from March revealed as many as 2.2 million Americans could die from COVID-19. But the model was off. And now experts say it was”totally unreliable”

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One computer information modeling pro said the Imperial model programming, performed by professor Neil Ferguson, is a”buggy mess which appears more like a bowl of angel hair pasta than the finely tuned piece of programming,” The Daily Telegraph reported.
“Within our industrial reality, we’d fire anybody for growing code like this and any company that depended upon it to create software for sale will probably go bankrupt,” David Richards, co-founder of British information technology firm WANdisco, told the Telegraph.
The model has been an integral part of recommendations from the White House Coronavirus Task Force and the Centers for Disease Control (CDC). Ferguson was also a scientific adviser to the British government, and he cautioned mid-March which 500,000 people might die from the pandemic. U.K. Prime Minister Boris Johnson reacted to the accounts by imposing a national lockdown.
Scientists from the University of Edinburgh say the findings from the model of Ferguson were impossible to reproduce employing the data. The group got different results when they employed machines, as well as different results.
“There appears to be a bug in the production or re-use of their network file. If we attempt two completely identical runs, only varying in the second should utilize the network file made by the first, the results are quite different,” the Edinburgh researchers wrote.

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