Data Shows COVID-19 Restrictions Were Ineffective and Based on Wrong Assumptions: Data Analyst

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Severe measures imposed on society in response to the COVID-19 pandemic were based on wrong assumptions and, as it turned out later, were ineffective in stopping the spread of the coronavirus, said Justin Hart, chief data analyst and founder of

During the early phase of the COVID-19 pandemic, especially after Dr. Anthony Fauci estimated a high COVID-19 mortality rate in his testimony before Congress, Hart was looking at the pandemic statistics and did not find the data as alarming as it was officially presented.

Fauci, director of the National Institute of Allergy and Infectious Diseases, said in a congressional hearing in March 2020 that the estimated mortality rate of COVID-19 would be “around 1 percent, which means it is 10 times more lethal than the seasonal flu.”

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