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Preprint . 2021
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Preprint . 2021
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THE OFFICIAL NUMBER OF COVID-19 DEATHS IS A MANY-FOLD OVERESTIMATION. The Math-logic Method to Measure the Real Number of Covid-19 Lethal Victims. The guideline analysis, the U.S. in 2020.

Authors: Damian Rafal;

THE OFFICIAL NUMBER OF COVID-19 DEATHS IS A MANY-FOLD OVERESTIMATION. The Math-logic Method to Measure the Real Number of Covid-19 Lethal Victims. The guideline analysis, the U.S. in 2020.

Abstract

BACKGROUND: What do the data presented in the CDC tables „Deaths involving coronavirus” mean? The one objective information is: „xxx thousands of people have died and being probably infected with Covid-19”.But how many of these people would for sure still live if not Covid-19? The aim of this paper is to present the math-logic method that makes possible to reveal the real number of lethal Covid-19 victims of in the U.S. METHODS: The ideas for solutions are original, mathematical – logical; there were used constructed by us estimators. The calculated data are usually slightly rounded, because the method presentation is the main aim of the article. FINDINGS: Under 10% of those reported as Covid-19 victims, in the US in 2020, died from Covid-19 complicity and all the rest would have died at the same or at a very close to identical time anyway (also without Covid-19) because their deaths resulted only from the normal age-structure of deaths in the United States, creating the average age of death in the given year. INTERPRETATION: The official number of Covid-19 victims is in a vast majority “the double counting” of those who would die whatsoever in the same time even without Covid-19. The ‘ex post’ analysis is necessary to discover the real number of deaths due to Covid-19. FUNDING: None.

Keywords

Covid-19, estimators, math-logic method

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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