Archiv: Stanford University


24.05.2020 - 12:54 [ The Sun ]

Lockdown ‘panic virus’ among world leaders cost more lives than it saved, claims Nobel Prize scientist

„The problem with epidemiologists is that they feel their job is to frighten people into lockdown.

„So you say ‚there’s going to be a million deaths‘ and when there are only 25,000 you say ‚it’s good you listened to my advice‘.“

24.05.2020 - 12:45 [ France24 ]

The lock was a waste of time and could kill more than it saved, says Nobel laureate

Michael Levitt, a professor at Stanford University who correctly predicted the initial magnitude of the pandemic, suggested that the decision to keep people inside was motivated by “panic” rather than better science.

Professor Levitt also said that the modeling that led the government to impose the foreclosure – done by Professor Neil Ferguson – had overestimated the number of deaths by “10 or 12 times”.

10.05.2020 - 06:55 [ Stanford University School of Medicine, Stanford CA / Medrxiv.org ]

COVID-19 Antibody Seroprevalence in Santa Clara County, California

(11.04.2020)

A hundred deaths out of 48,000-81,000 infections corresponds to an infection fatality rate of 0.12-0.2%. If antibodies take longer than 3 days to appear, if the average duration from case identification to death is less than 3 weeks, or if the epidemic wave haspeaked and growth in deaths is less than 6% daily, then the infection fatality rate would be lower.

10.05.2020 - 06:49 [ Buzzfeed ]

Two Antibody Studies Say Coronavirus Infections Are More Common Than We Think. Scientists Are Mad.

(22.04.2020)

The two antibody surveys, led by researchers at Stanford University and the University of Southern California, are the largest conducted in the US to date.

07.05.2020 - 15:35 [ Stanford University School of Medicine, Stanford CA / Medrxiv.org ]

COVID-19 Antibody Seroprevalence in Santa Clara County, California

(11.04.2020)

A hundred deaths out of 48,000-81,000 infections corresponds to an infection fatality rate of 0.12-0.2%. If antibodies take longer than 3 days to appear, if the average duration from case identification to death is less than 3 weeks, or if the epidemic wave haspeaked and growth in deaths is less than 6% daily, then the infection fatality rate would be lower.

07.05.2020 - 15:34 [ the Hill ]

The data is in — stop the panic and end the total isolation

Five key facts are being ignored by those calling for continuing the near-total lockdown.

Fact 1: The overwhelming majority of people do not have any significant risk of dying from COVID-19.

The recent Stanford University antibody study now estimates that the fatality rate if infected is likely 0.1 to 0.2 percent, a risk far lower than previous World Health Organization estimates that were 20 to 30 times higher and that motivated isolation policies.