Secret Letter To CDC: Top Epidemiologist Suggests Agency Misrepresented Scientific Data To Support Mask Narrative, by Megan Redshaw

It looks like we might be headed into another episode of “Were All Going to Die If We Don’t Do What They Tell Us To Do.” Remember, no matter what they tell us, it’s always about totalitarian control, never about health. From Megan Redshaw at The Epoch Times via zerohedge.com:

Documents recently obtained from the National Institutes of Health suggest public health officials used inaccurate information and misrepresented medical research to advance their policy objective that masks prevent severe COVID-19 and virus transmission—despite opposing scientific evidence received from experts.

The Centers for Disease Control and Prevention (CDC) headquarters in Atlanta, Ga., in a file image. (Tami Chappell via Reuters)

In a recently obtained letter (pdf) sent in November 2021 to the Centers for Disease Control and Prevention (CDC), top epidemiologist Michael Osterholm, director of the Center for Infectious Disease Research and Policy at the University of Minnesota, and seven colleagues informed the agency it was promoting flawed data and excluding data that did not reinforce their narrative.

The letter warned the agency that misrepresenting data on trusted websites such as the CDC and the COVID-19 Real-Time Learning Network—jointly created by the CDC and Infectious Diseases Society of America (IDSA)—would “damage the credibility of science,” endanger public trust by “misrepresenting the evidence,” and give the public “false expectations” masking would protect them from the SARS-CoV-2 virus that causes COVID-19.

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2 responses to “Secret Letter To CDC: Top Epidemiologist Suggests Agency Misrepresented Scientific Data To Support Mask Narrative, by Megan Redshaw

  1. Breaking-Fully vaccinated individuals can remove their second mask while driving along as long as they put a Biden bumper sticker on their solar powered Trabant.

    By order of Esteemed Party Member Comrade Commissar Fauci, CDC, NIH, CPUSA, CCP.

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