Nobel Prize Winner: Data Shows Lockdowns Were ‘Huge Mistake’

After careful study since January, a Nobel Prize-winning scientist believes the spread of the coronavirus follows a similar pattern, regardless of social-distancing practices.

“There is no doubt in my mind, that when we come to look back on this, the damage done by lockdown will exceed any saving of lives by a huge factor,” said Michael Levitt, professor of structural biology at the Stanford School of Medicine, in an interview with Freddie Sayers of the U.K. publication UnHerd.

The winner of the 2013 Nobel Prize for Chemistry for “the development of multiscale models for complex chemical systems,” he acknowledges he is not an epidemiologist. But Levitt argues that much of modern science is about statistics, and he is an expert in that field.

Sayers noted that when Levitt first spoke out in early February, he accurately predicted the number of cases and deaths in Hubei province, where the coronavirus originated, would top out at around 3,250 deaths.

Levitt has found in every area where the coronavirus breaks out, there is a similar mathematical pattern, regardless of government interventions. (Read more from “Nobel Prize Winner: Data Shows Lockdowns Were ‘Huge Mistake'” HERE)

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