Antivaxxers fooled by P-Hacking and apples to oranges comparisons.

A number of antivaxxers, including Dr Jordan B Peterson and Toby Young, are claiming that a non-peer reviewed preprint co-authored by BMJ editor, Peter Doshi, shows that vaccines cause more harm than good. The preprint doesn’t show that. In fact, it doesn’t really show anything at all. In this video, Dr Susan Oliver, assisted by Cindy the dog, go back to the science to reveal that the authors use P-Hacking combined with apples to oranges comparisons to fool people into thinking a significant effect has occurred when it really hasn't.

If you would like more details about issues with this paper as well as Peter Doshi's history of spreading medical misinformation, please see the following:

Peter Doshi vs. COVID-19 vaccines, the latest round
https://respectfulinsolence.com/2022/06/29/peter-doshi-vs-covid-19-vaccines-the-latest-round/

Studies show that the benefits of COVID-19 vaccines outweigh their risks; preprint claiming to show otherwise is flawed
https://healthfeedback.org/claimreview/studies-benefits-of-covid-19-vaccines-outweigh-risks-preprint-flawed-daily-sceptic/?fs=e&s=cl

Professor Norman Fenton has now weighed in with a so-called debunking of my video. Please see the following rebuttal of his claims:

Norman Fenton: “It’s not p-hacking if you don’t use p-values.”
https://respectfulinsolence.com/2022/07/01/norman-fenton-its-not-p-hacking-if-you-dont-use-p-values/

Buy me a coffee https://www.buymeacoffee.com/SusanAndJulie

Links to data:

The Extent and Consequences of P-Hacking in Science
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002106

Serious Adverse Events of Special Interest Following mRNA Vaccination in Randomized Trials (Preprint)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4125239

Global impact of the first year of COVID-19 vaccination: a mathematical modelling study
https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(22)00320-6/fulltext