[Video] Why are the CDC’s Grossly Contradictory Death Numbers Important to the US Election?

Why are the CDC’s Grossly Contradictory Death Numbers Important to the US Election?

A short video explaining WHY the contradictory pneumonia and influenza death numbers on the CDC web site and official documents are critically important to the US Presidential Election. The FluView web site claims six to ten percent of all deaths are pneumonia and influenza in a prominently displayed graphic. However, the Leading Causes of Death report claims about two percent of deaths are caused by pneumonia and influenza, less than one third of the percentages reported on the FluView web site.

Looking at the numbers behind the percentages. The CDC uses two grossly contradictory numbers of annual deaths from pneumonia and influenza: about 55,000 in the annual leading causes of the death report and about 188,000 in National Center for Health Statistics (NCHS) data used on the FluView web site to report the percentage of deaths each week due to pneumonia and influenza. These differ by a factor of OVER THREE. The larger FluView number is comparable to the current cumulative total COVID-19 deaths in the United States frequently cited by the media and compared to a smaller number of about 40,000 “flu deaths” which is similar to the smaller number of “pneumonia and influenza” deaths in the leading causes of death report.

The most recent raw data appears to still be accessible on the FluView Pneumonia and Influenza Mortality web page:

https://www.cdc.gov/flu/weekly/index.htm (see Pneumonia and Influenza Mortality Section)

FluView NCHS Raw Data File: https://www.cdc.gov/flu/weekly/weeklyarchives2019-2020/data/NCHSData34.csv

Leading Causes of Death Full Report: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_06-508.pdf

See Table C: Deaths and percentage of total deaths for the 10 leading causes of death: United States, 2016 and 2017 (Page 9 of PDF)

Line item 8 “Influenza and pneumonia” lists 55,672 deaths in 2017

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About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).