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Professor Michael Levitt, who won the 2013 Nobel Prize in Chemistry in 2013, says the lockdowns ordered by state governors were a complete overreaction to COVID-19 and may actually backfire.
Advertisement - story continues below
By now you’ve heard the term “herd immunity,” which means that many people are exposed to a virus, build antibodies, and then enjoy immunity. That’s how society continues to function, despite endless viruses popping up from time to time.
Levitt, who teaches structural biology at the Stanford School of Medicine, has been analyzing the COVID-19 outbreak from a statistical perspective ever since January, according to Unherd.com.
He says that despite all the predictions, the data show that the COVID-19 outbreak never actually grew exponentially, which means the draconian lockdown measures were most likely unnecessary.
00:06
00:54
TRENDING: MUST WATCH: Tearful Nurse Blows Whistle on New York Hospitals 'Murdering' COVID Patients With 'Complete Medical Mismanagement'
According to UnHerd:
His observation is a simple one: that in outbreak after outbreak of this disease, a similar mathematical pattern is observable regardless of government interventions. After around a two week exponential growth of cases (and, subsequently, deaths) some kind of break kicks in, and growth starts slowing down. The curve quickly becomes “sub-exponential”.
This may seem like a technical distinction, but its implications are profound. The ‘unmitigated’ scenarios modelled by (among others) Imperial College, and which tilted governments across the world into drastic action, relied on a presumption of continued exponential growth — that with a consistent R number of significantly above 1 and a consistent death rate, very quickly the majority of the population would be infected and huge numbers of deaths would be recorded. But Professor Levitt’s point is that that hasn’t actually happened anywhere, even in countries that have been relatively lax in their responses.
Like many others, Levitt told UnHerd that developing “herd immunity” would have been a far better strategy to fight COVID-19.
“I think the policy of herd immunity is the right policy. I think Britain was on exactly the right track before they were fed wrong numbers. And they made a huge mistake. I see the standout winners as Germany and Sweden. They didn’t practise too much lockdown and they got enough people sick to get some herd immunity,” Levitt said.
“I see the standout losers as countries like Austria, Australia and Israel that had very strict lockdown but didn’t have many cases,” he said. “They have damaged their economies, caused massive social damage, damaged the educational year of their children, but not obtained any herd immunity.
“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,” Levitt concluded.
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[–] rickki6 [S] 0 points 1 point 1 point (+1|-0) ago
Professor Michael Levitt, who won the 2013 Nobel Prize in Chemistry in 2013, says the lockdowns ordered by state governors were a complete overreaction to COVID-19 and may actually backfire.
Advertisement - story continues below
By now you’ve heard the term “herd immunity,” which means that many people are exposed to a virus, build antibodies, and then enjoy immunity. That’s how society continues to function, despite endless viruses popping up from time to time.
Levitt, who teaches structural biology at the Stanford School of Medicine, has been analyzing the COVID-19 outbreak from a statistical perspective ever since January, according to Unherd.com.
He says that despite all the predictions, the data show that the COVID-19 outbreak never actually grew exponentially, which means the draconian lockdown measures were most likely unnecessary.
00:06
00:54
TRENDING: MUST WATCH: Tearful Nurse Blows Whistle on New York Hospitals 'Murdering' COVID Patients With 'Complete Medical Mismanagement'
According to UnHerd:
His observation is a simple one: that in outbreak after outbreak of this disease, a similar mathematical pattern is observable regardless of government interventions. After around a two week exponential growth of cases (and, subsequently, deaths) some kind of break kicks in, and growth starts slowing down. The curve quickly becomes “sub-exponential”.
This may seem like a technical distinction, but its implications are profound. The ‘unmitigated’ scenarios modelled by (among others) Imperial College, and which tilted governments across the world into drastic action, relied on a presumption of continued exponential growth — that with a consistent R number of significantly above 1 and a consistent death rate, very quickly the majority of the population would be infected and huge numbers of deaths would be recorded. But Professor Levitt’s point is that that hasn’t actually happened anywhere, even in countries that have been relatively lax in their responses.
Like many others, Levitt told UnHerd that developing “herd immunity” would have been a far better strategy to fight COVID-19.
“I think the policy of herd immunity is the right policy. I think Britain was on exactly the right track before they were fed wrong numbers. And they made a huge mistake. I see the standout winners as Germany and Sweden. They didn’t practise too much lockdown and they got enough people sick to get some herd immunity,” Levitt said.
“I see the standout losers as countries like Austria, Australia and Israel that had very strict lockdown but didn’t have many cases,” he said. “They have damaged their economies, caused massive social damage, damaged the educational year of their children, but not obtained any herd immunity.
“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,” Levitt concluded.