Professor Michael Levitt, who teaches structural biology at the Stanford School of Medicine, won the 2013 Nobel Prize in Chemistry for "the development of multiscale models for complex chemical systems."
And according to Levitt, coronavirus data show that sweeping lockdown measures were an overreaction that may actually backfire.
Levitt has been analyzing the COVID-19 outbreak from a statistical perspective since January and has been remarkably accurate in his predications. The data show that the outbreak never actually grew exponentially, suggesting harsh lockdown measures, which have drastically impacted the world economy, were probably unnecessary.
Nobel Prize-winning scientist shares COVID-19 data showing strict lockdowns were an overreaction
And according to Levitt, coronavirus data show that sweeping lockdown measures were an overreaction that may actually backfire.
Levitt has been analyzing the COVID-19 outbreak from a statistical perspective since January and has been remarkably accurate in his predications. The data show that the outbreak never actually grew exponentially, suggesting harsh lockdown measures, which have drastically impacted the world economy, were probably unnecessary.
Nobel Prize-winning scientist shares COVID-19 data showing strict lockdowns were an overreaction