Tyranny of the Modelers, by Robert W. Malone, MD, MS

Somebody can always cook up a justification for rulers ruling the ruled. From Robert W. Malone at rwmalonemd.substack.com:

Intersection of Utilitarianism, Geopolitics, Public Health and Hubris

 

There are so very many factors that have contributed to the clear and compelling reality that the public health response to the global SARS-CoV-2 outbreak has been one of the greatest failures in public policy in modern history. But chief among those has been the grossly overestimated modeling projections of likely disease and death due to the virus.

Those well versed in the world of computer software coding are intimately familiar with the problem of “Garbage in – Garbage out” (GIGO), which is short slang for the real world issue that the utility of any coded data set analysis is a function of the quality of the underlying data being analyzed and the assumptions engineered into the computer code. In retrospect, it is abundantly clear that the underlying data and assumptions which were used to develop the modeling which formed the basis for global public health policy decisions concerning the management of the outbreak were seriously flawed. These flawed analyses, which were promoted via a wide range of government policy analysis and media channels, almost universally wildly over-estimated the risks of the virus.

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