America’s Frontline Doctors (AFLDS) Chief Science Officer Dr. Michael Yeadon yesterday said there is “clear evidence of fraud” in the Pfizer study that purports to claim 95% efficacy in their COVID-19 “vaccine”.
Yeadon was commenting on an article appearing in The Lancet and critiquing a documentary that scrutinized a Pfizer efficacy study, calling the distinction raised therein between relative risk reduction and absolute risk reduction “accurate”.
The Lancet article, entitled COVID-19 vaccine efficacy and effectiveness—the elephant (not) in the room, says that although attention has focused on vaccine efficacy and comparing the reduction of the number of symptomatic cases, “fully understanding the efficacy and effectiveness of vaccines is less straightforward than it might seem. Depending on how the effect size is expressed, a quite different picture might emerge.”
The article continues: “Vaccine efficacy is generally reported as a relative risk reduction (RRR). It uses the relative risk (RR)—ie, the ratio of attack rates with and without a vaccine—which is expressed as 1–RR. Ranking by reported efficacy gives relative risk reductions of 95% for the Pfizer–BioNTech, 94% for the Moderna–NIH, 91% for the Gamaleya, 67% for the J&J, and 67% for the AstraZeneca–Oxford vaccines.
“However, RRR should be seen against the background risk of being infected and becoming ill with COVID-19, which varies between populations and over time. Although the RRR considers only participants who could benefit from the vaccine, the absolute risk reduction (ARR), which is the difference between attack rates with and without a vaccine, considers the whole population. ARRs tend to be ignored because they give a much less impressive effect size than RRRs: 1·3% for the AstraZeneca–Oxford, 1·2% for the Moderna–NIH, 1·2% for the J&J, 0·93% for the Gamaleya, and 0·84% for the Pfizer–BioNTech vaccines.”
“Pfizer reported that its vaccine showed a 95% efficacy,” explained the documentary, entitled COVID Shot or Not? “That sounds like it protects you 95% of the time. But that’s not actually what that number means.
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