Lockdown was a waste of time and could kill more than it saved, claims Nobel laureate scientist at Stanford University

The coronavirus lockdown could have caused more deaths than it saved, a Nobel laureate scientist has claimed.

Michael Levitt, a Stanford University professor who correctly predicted the initial scale of the pandemic, suggested the decision to keep people indoors was motivated by ‘panic’ rather than the best science.

Professor Levitt also said the modelling that caused the government to bring in the lockdown – carried out by Professor Neil Ferguson – over-estimated the death toll by ’10 or 12 times’.

His claims echo those in a JP Morgan report that said lockdowns failed to alter the course of the pandemic but have instead ‘destroyed millions of livelihoods’.

Author Marko Kolanovic, a trained physicist and a strategist for JP Morgan, said governments had been spooked by ‘flawed scientific papers’ into imposing lockdowns which were ‘inefficient or late’ and had little effect.

He said falling infection rates since lockdowns were lifted suggest that the virus ‘likely has its own dynamics’ which are ‘unrelated to often inconsistent lockdown measures’.

Denmark is among the countries which has seen its R rate continue to fall after schools and shopping malls re-opened, while Germany’s rate has mostly remained below 1.0 after the lockdown was eased.

This graph published in a JP Morgan report shows that many countries saw their infection rates fall rather than rise again when they ended their lockdowns - suggesting that the virus may have its own 'dynamics' which are 'unrelated' to the emergency measures

This graph published in a JP Morgan report shows that many countries saw their infection rates fall rather than rise again when they ended their lockdowns – suggesting that the virus may have its own ‘dynamics’ which are ‘unrelated’ to the emergency measures
A second graph shows a similar effect in the US, showing that many states saw a lower rate of transmission (R) after full-scale lockdowns were ended

A second graph shows a similar effect in the US, showing that many states saw a lower rate of transmission (R) after full-scale lockdowns were ended
Michael Levitt, a Stanford University professor who correctly predicted the initial scale of the pandemic, suggested the decision to keep people indoors was motivated by 'panic' rather than the best science

Michael Levitt, a Stanford University professor who correctly predicted the initial scale of the pandemic, suggested the decision to keep people indoors was motivated by ‘panic’ rather than the best science

Prof Levitt told The Telegraph: ‘I think lockdown saved no lives. I think it may have cost lives. It will have saved a few road accident lives, things like that, but social damage – domestic abuse, divorces, alcoholism – has been extreme.

‘And then you have those who were not treated for other conditions.’

Professor Levitt, who won the Nobel Prize for chemistry in 2013 for the ‘development of multiscale models for complex chemical systems’, has said for two months that most experts predictions about coronavirus are wrong.

He also believes that the Government should encourage Britons to wear masks and find other ways to continue working while socially distancing instead.

Prof Ferguson’s modelling, on the other hand, estimated up to 500,000 deaths would occur without social distancing measures.

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