True Covid-19 death rates (not worse than the flu) -by 2 Stanford doctors

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True Covid-19 death rates (not worse than the flu) -by 2 Stanford doctors

-The Truth About Covid-19 Mortality Rates-Not much worse than the flu

 Dr. Michael Levitt* (Nobel prize winner in chemistry),

*Michael Levitt, FRS[13] (Hebrew: מיכאל לויט‎; born 9 May 1947) is an American-British-Israeli-South African[2] biophysicist and a professor of structural biology at Stanford University, a position he has held since 1987.[14][15] Levitt received the 2013 Nobel Prize in Chemistry,[16] together with Martin Karplus and Arieh Warshel, for “the development of multiscale models for complex chemical systems”

This interview is part of the “Facts From the Frontlines” episode of #TheTonyRobbinsPodcast, where Tony uncovers the truth about coronavirus with a 7-person panel of highly qualified researchers, an experienced epidemiologist, a Nobel Laureate, and M.D.s testing and treating patients on the frontlines. Together, they reveal the evidence-based research that has come to light in the last two months.

This is one of the most important interviews Tony has ever conducted. It reminds us to stand guard at the door of our mind, practice discernment when determining trustworthy sources, and think critically in order to stay flexible and maintain the ability to pivot in light of new information – especially when lives depend on it.

*COVID-19 Playlist*

Do You Fear COVID-19? Take the survey now! https://www.youtube.com/post/Ugw2ngqc…

00:00 – start
00:31 – Professor Levitt
00:19 – Journey against fear
03:18 – Not much worse than the flu
03:46 – Average person believe what we have been told
04:36 – Death rates is what’s important
06:06 – Epidemiologists don’t mind being wrong on the high side
07:02 – Decisions that were made were bases off morbidity rate of 3.5% – 4.5%
07:28 – Algorithm = Model = Guess
08:13 – We have new data but we haven’t changed what we’re doing
10:08 – 4 countries that did NOT shut down
10:58 – Herd immunity
14:03 – Who Coronavirus taking out?
15:32 – Being coded for COVID
16:54 – A race to try to maximize deaths
17:28 – Did social distancing save us?
18:41 – Update from Tony Robbins

 

BREAKING: Dr. John Ioannidis* announces the results of his serology or antibody study in Santa Clara, California. The study is attached below.  (Serology tests, also known as antibody tests)

“Our Santa Clara seroprevalence study is now out. It shows 50-85 times underestimated number of infections, therefore 50-85 times overestimated infection rate fatality. True infection rate fatality is in the ballpark of seasonal influenza.”

https://www.medrxiv.org/content/10.11…

*Dr. Ioannidis is Professor of Medicine and of Epidemiology and Population Health at Stanford University and Co-Director of the Meta-Research Innovation Center at Stanford (METRICS).

 

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