SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.
Politics : Formerly About Advanced Micro Devices

 Public ReplyPrvt ReplyMark as Last ReadFilePrevious 10Next 10PreviousNext  
To: Winfastorlose who wrote (1226934)5/5/2020 2:12:30 AM
From: FJB1 Recommendation

Recommended By
Winfastorlose

  Read Replies (1) of 1579391
 
LOCKDOWN WILL CAUSE MANY MORE DEATHS THAN VIRUS ITSELF SAYS NOBEL PRIZE WINNER IN CHEMISTRY. BY WHAT FACTOR? 4X, 10X, 20X?
---------------------------------------------------
Nobel prize winning scientist Prof Michael Levitt: lockdown is a “huge mistake”



As he is careful to point out, Professor Michael Levitt is not an epidemiologist. He’s Professor of Structural Biology at the Stanford School of Medicine, and winner of the 2013 Nobel Prize for Chemistry for “the development of multiscale models for complex chemical systems.” With a purely statistical perspective, he has been playing close attention to the Covid-19 pandemic since January, when most of us were not even aware of it. He first spoke out in early February, when through analysing the numbers of cases and deaths in Hubei province he predicted with remarkable accuracy that the epidemic in that province would top out at around 3,250 deaths. In this interview with Freddie Sayers, Executive Editor of UnHerd, Professor Levitt explains why he thinks indiscriminate lockdown measures as “a huge mistake,” and advocates a “smart lockdown” policy, focused on more effective measures, focused on protecting elderly people. Read the full accompanying article here: youtube.com
Report TOU ViolationShare This Post
 Public ReplyPrvt ReplyMark as Last ReadFilePrevious 10Next 10PreviousNext