Senator Asks CDC To Clear Up Conflicting Statements On Vaccine Safety Research
Authored by Zachary Stieber via The Epoch Times (emphasis ours),
A U.S. senator is asking the Centers for Disease Control and Prevention (CDC) to clear up conflicting statements on whether a specific method of COVID-19 vaccine safety research is being conducted.
Sen. Ron Johnson (R-Wis.) asked CDC Director Rochelle Walensky for details after The Epoch Times reported that Dr. John Su, a CDC doctor, claimed that the CDC has been performing Proportional Reporting Ratio analyses on data from the Vaccine Adverse Event Reporting System since February 2021.
That conflicted with the CDC telling the nonprofit Children’s Health Defense that it not only did not conduct the analyses but that the method “is outside of th[e] agency’s purview.”
“CDC’s assertion and Dr. Su’s statement cannot both be true,” Johnson told Walensky in a new letter, released on July 26 and dated July 25.
“The American people deserve the truth and you have not been providing it. That is why I, together with millions of Americans, have completely lost faith in the CDC and other federal health agencies. It is time to start regaining their confidence and your agency’s integrity by coming clean, being transparent, and telling the truth,” Johnson wrote.
He asked for Walensky to immediately respond to a letter he sent before requesting information on the CDC’s vaccine safety research. He also requested she confirm whether Dr. Su’s statement is true and if it is, why the CDC claimed it had not conducted the analyses.
And if Dr. Su’s statement is accurate, Johnson wants all of the Proportional Reporting Ratio analyses that the CDC has performed since February 2021.
Finally, Johnson asked for Dr. Su to be made available for an interview with his office concerning the data examinations.
The CDC and Walensky did not immediately respond to requests for comment.
The CDC said in an operating procedures document dated Jan. 29, 2021, that it “will perform” Proportional Reporting Ratio (PRR), a type of data mining analysis that compares the counts of adverse event reports following vaccination with one vaccine to those that have been reported after receipt of another vaccine or vaccines.
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Fri, 07/29/2022 – 21:00