COVID-19 Data Collection, Comorbidity & Federal Law: A Historical Retrospective.

Abstract
According to the Centers for Disease Control and Prevention (CDC) on August 23, 2020,
“For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions
or causes in addition to COVID-19 , on average, there were 2.6 additional conditions or
causes per death.”[1] For a nation tormented by restrictive public health policies mandated for
healthy individuals and small businesses, this is the most important statistical revelation of
this crisis. This revelation significantly impacts the published fatalities count due to COVID-19.
More importantly, it exposes major problems with the process by which the CDC was able
to generate inaccurate data during a crisis. The CDC has advocated for social isolation,
social distancing, and personal protective equipment use as primary mitigation strategies in
response to the COVID-19 crisis, while simultaneously refusing to acknowledge the promise
of inexpensive pharmaceutical and natural treatments. These mitigation strategies were
promoted largely in response to projection model fatality forecasts that have proven to be
substantially inaccurate. Further investigation into the legality of the methods used to create
these strategies raised additional concerns and questions. Why would the CDC decide
against using a system of data collection & reporting they authored, and which has been
in use nationwide for 17 years without incident, in favor of an untested & unproven system
exclusively for COVID-19 without discussion and peer-review? Did the CDC’s decision to
abandon a known and proven effective system also breach several federal laws that ensure
data accuracy and integrity? Did the CDC knowingly alter rules for reporting cause of death in
the presence of comorbidity exclusively for COVID-19? If so, why?

The complete report is below.

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