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Here’s One Good Reason Americans Don’t “Trust the Science”

Kelley Krohnert is a Georgia mom, photographer, and technical writer who gained a global reputation over the last three years as a meticulous compiler and evaluator of COVID data, frequently correcting credentialed experts and being proven correct.

So her new paper with a group of University of California, San Francisco researchers is a must-read for Congress as they address CDC accountability and reform:

Results: We documented 25 instances when the CDC reported statistical or numerical errors. Twenty (80%) of these instances exaggerated the severity of the COVID-19 situation, 3 (12%) instances simultaneously exaggerated and downplayed the severity of the situation, one error was neutral, and one error exaggerated COVID-19 vaccine risks. The CDC was notified about the errors in 16 (64%) instances, and later corrected the errors, at least partially, in 13 (52%) instances.

Conclusion: A basic prerequisite for making informed policy decisions is accurate and reliable statistics, even during times of uncertainty. Our investigation revealed 25 instances of numerical or statistical errors made by the CDC. Our investigation suggests 1) the need for greater diligence in data collection and reporting, and 2) that the federal entity responsible for reporting health statistics should be firewalled from the entity setting policy due to concerns of real or perceived systematic bias in errors.

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