Ep80 The Latest DATA and EVIDENCE - Have our Lock-downs been Effective?
The latest data around mortality risk realities, and the evidence For/Against Lock-downs.
In both cases we review the official published data and studies from the past weeks.
Although no fringe material here - quite the opposite - you may still get a big surprise when you understand the actual numbers and science.
Dr. Jay Bhattacharya: His new MLB COVID-19 Study and the Dilemma of the Lockdown
Dr. Jay Bhattacharaya from Stanford Medicine makes his third appearance on Uncommon Knowledge in eight weeks, this time to discuss a new COVID-19 survey of Major League Baseball employees he co-authored. The survey tested more than 5,600 employees across all 26 Major League Baseball clubs across the country. The results are yet another data set showing how COVID-19 spreads across geographical and economic lines. Dr. Bhattacharya also discusses the very real health risks associated with a prolonged lockdown and answers some of the questions raised by his last survey of Santa Clara County.
NOT What You May Think! Viral Mortality Comparison 2018 vs 2020
Do you think you have the slightest grasp of current Coronavirus impacts across Europe? You may not, in spite of all the media you have consumed in past weeks. Here I lay out the numbers with brutal clarity and simplicity.
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.
