Tag Archives: Coronavirus statistics

An Egregious Statistical Horror Story, by George Gilder

The government officials accepted the statistical projections because it served their interest—more power. From George Gilder at aier.org:

With the latest reports of plummeting death rates from all causes, this crisis is over. The pandemic of doom erupted as a panic of pols and is now a comedy of Mash-minded med admins and stooges, covering their ifs ands and butts with ever more morbid and distorted statistics.

The crisis now will hit the politicians and political Doctor Faucis who gullibly accepted and trumpeted what statistician William Briggs calls “the most colossal and costly blown forecast of all time.”

An egregious statistical horror story of millions of projected deaths, suffused with incense and lugubrious accents from Imperial College of London to Harvard School of Public Health, prompted the pols to impose a vandalistic lockdown on the economy. It would have been an outrage even if the assumptions were not wildly astronomically wrong.

Flattening the curve was always a fool’s errand that widened the damage.

President Trump had better take notice. He will soon own this gigantic botch of policy and leadership. No one will notice that his opponents urged even more panicky blunders.

The latest figures on overall death rates from all causes show no increase at all. Deaths are lower than in 2019, 2018, 2017 and 2015, slightly higher than in 2016. Any upward bias is imparted by population growth.

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SARS-CoV-2 Mortality Is Distorted, by South Front

Bad numbers and bad projections have produced bad responses. From South Front at southfront.org:

SARS-CoV-2 Mortality Is Distorted

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SouthFront offers a scientific-based survey providing an in-depth look at the real death toll statistics and the spread of SARS-COV-2.

1. The research issued by the Bonn University Hospital

The research issued by the Bonn University Hospital and made by the group of scientists including Prof. Dr. Hendrik Streeck (Institute of Virology), Prof. Dr. Gunther Hartmann (Institute for Clinical Chemistry and Clinical Pharmacology, Spokesman for the Cluster of Excellence ImmunoSensation2), Prof. Dr. Martin Exner (Institute for Hygiene and Public Health), Prof. Dr. Matthias Schmid (Institute for Medical Biometry, Computer Science and Epidemiology).

In the framework of the research, all residents of Germany’s Gangelt were tested on the existence of SARS-CoV-2 infection and antibodies to SARS-CoV-2.

Gangelt is one of the most COVID-19-affected German municipalities. It is believed that the outbreak was caused by the carnival held on February 15, 2020. After the event, several people tested positive for SARS-CoV-2.

Preliminary result: the existing immunity was determined at about 14% (IgG against SARS-CoV2, method specificity>, 99%). About 2% of people had current SARS-CoV-2 infection detected by the method of polymerase chain reaction (PCR). The overal infection rate (the presence of a current infection or antibody in the body) was about 15%. The mortality (mortality rate), based on the total number of infected people in the Gangelt community, is approximately 0.37% based on the preliminary data of this study. The mortality rate based on the total population in the Gangelt is currently 0.06%.

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