U.S. drug regulators are refusing to provide key analyses of a COVID-19 vaccine safety database, claiming that the factual findings cannot be separated by internal discussions protected by law.
The Epoch Times asked the Food and Drug Administration (FDA) in July for all analyses performed by the agency for the COVID-19 vaccines using a method called Empirical Bayesian data mining, which involves comparing the adverse events recorded after a specific COVID-19 vaccine with those recorded after vaccination with non-COVID-19 vaccines.
In a recent response, the FDA records office told The Epoch Times that it would not provide any of the analyses, even in redacted form.
The agency cited an exemption to the Freedom of Information Act that lets the government withhold inter-agency and intra-agency memorandums and letters “that would not be available by law to a party other than an agency in litigation with the agency.”
The agency also pointed to the Code of Federal Regulations, which says that “all communications within the Executive Branch of the Federal government which are in written form or which are subsequently reduced to writing may be withheld from public disclosure except that factual information which is reasonably segregable in accordance with the rule established in § 20.22 is available for public disclosure.”
‘Unacceptable’
Kim Witczak, co-founder of Woodymatters, a nonprofit that advocates for a stronger FDA and drug safety system, said the agency’s refusal to provide the analyses was not acceptable.“The secrecy is unacceptable for an agency that said it is transparent with the public about vaccine safety,” Witczak, who sits on one of the FDA’s outside advisory panels, told The Epoch Times.
“What’s the point of having VAERS if you’re not releasing it to the public?” she added.
“If this data is available, shame on you for not making it known to the public,” Witczak said. “It’s as if they don’t trust the people to make their own best decision for what’s good for them and their families.”
CDC
The Centers for Disease Control and Prevention (CDC), according to the documents outlining operating procedures, was going to perform a different type of data mining analyses, called Proportional Reporting Ratio (PRR) mining.The CDC has also refused, so far, to provide the results for those analyses.
It has also twice provided false information when responding to questions.
Roger Andoh, a records officer, gave the initial response, citing the CDC’s Immunization and Safety Office. Dr. John Su, a CDC official, gave the second response. It remains unclear with whom the information originated.
Data Mining Reports
The Empirical Bayesian (EB) is focused on identifying disproportional numbers of adverse events, CDC scientist Dr. Tom Shimabukuro said in January 2021. It identifies “with a high degree of confidence, adverse event-vaccine pairs reported at least twice as frequently as expected for a COVID-19 vaccine compared to the VAERS database,” he said, or a comparison between the incidence of a specific event such as kidney disease after COVID-19 vaccine compared to the incidence of the same event after all other U.S.-licensed vaccines.The FDA and CDC have provided periodic updates on the EB data mining effort.
“Importantly, there were no Empirical Bayesian data mining alerts detected for any adverse event COVID-19 vaccine pairs as of the last data mining run that the FDA performed on February 18th,” Shimabukuro told members of the FDA’s vaccine advisory panel on Feb. 26, 2021.