A Critical Review of 2020 Official Data
April 12, 2021
A recent critical review of CDC USA Data on 2020 pandemic shows within the “official” covid-19 theory or paradigm there are numerous flaws and inconsistencies, and suggests most annual excess deaths are due to the physical consequences of lockdown-related mandates.
Article by James DeMeo
One of the primary missions and responsibilities of the scientific world is to make accurate observations, analyses and predictions, based upon rational logic and causality. When science strays from that mission, and promotes inaccurate theories for social application or government policy, the consequences can be disastrous. Modern medicine is not free from such risks, of promulgating public policy based upon flawed theories.
Such has been the case with the claims about a deadly virus SARS-CoV-2 causing covid-19 disease (SARS = Severe Acute Respiratory Syndrome). Even within the “official” covid-19 theory or paradigm, there are numerous flaws and inconsistencies. This is seen notably in how laboratory tests identify “cases” among predominantly asymptomatic people, with failed predictions on who will get sick and die, versus those who remain healthy and live.
We expect a true pandemic with so many “confirmed by laboratory testing” cases to predict and drive up the “confirmed deaths by Covid-19” in a manner far more substantial than is observed. There has been a general failure among all parties – medicine, science, media and government – to appreciate that fact.
Basic all-cause US death data for 2020, when reviewed in light of a claimed covid-19 pandemic, suggest most annual excess deaths are due to the physical consequences of lockdown-related mandates which create economic ruin and added emotional and somatic-pathological devastation within vulnerable populations.
The CDC’s data on Covid-19 lab-confirmed tests, cases and deaths were reviewed as plotted on the same ordinate vertical axis scale, indicating a high correlation between tests and cases, but no correlations or causality between either tests or cases to deaths. Covid-19 deaths among age-groups of high-risk elderly 65+ years and older, were found to be of nearly identical percentages as in all-cause deaths in the same age demographic. Daily death/case ratios failed to affirm any significant global growth or spread of an expected deadly viral pandemic.
Claimed covid-19 deaths followed a dominant seasonal wintertime pattern, peaking within the different winter months of the two hemispheres. These direct reviews of the official data exposed multiple contradictions to basic causality and logic, revealing observed pathology and deaths are primarily due to extreme lockdown measures undertaken to control a presumed viral pandemic, but not to any viral pandemic itself.
Problems in PCR/Antigen tests and electron-microscopy for specific identification of SARSCoV-2 were exposed, indicating the claimed covid-19 lab tests and clinical diagnoses are, at high numbers, inaccurately mis-attributing ordinary end-of-life diseases and conditions to a poorly-demonstrated virus. This is why labconfirmed cases among asymptomatic people who remain healthy have soared to dramatically high numbers, while lab-confirmed deaths have not.
All-cause death data suggest respiratory disorders such as influenza or pneumonia are being inappropriately reclassified as covid-19. Soaring “case” numbers reflect herd immunity only, while increased death numbers are due to comorbidities made worse in vulnerable populations by forced lockdowns and economic ruin.