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Mathew Crawford's avatar

I just noticed open in one of my other browsers that Norman Fenton, Martin Neil, and Scott McLachlan published about Simpson's paradox in the UK data. Good statisticians usually make this kind of correction in population data. It's not too uncommon.

https://www.normanfenton.com/post/paradoxes-in-the-reporting-of-covid19-vaccine-effectiveness

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Doeg's avatar

The source data should NOT have been merged on age axis "due to low incidence". It should have been the time axis. Due to cautionary principle I'm forced to I suspect they are hiding et harm done to the younger ages in the massive group 10-59. Due to higher mortality at older ages, even a small benefit to ages 50-59 can hide most of large harm done in the younger age groups.

In any case, there is data from Sweden where the 14-day deaths post 2nd dose is higher (3939) than the average 14 day death rate for whole nation (~3000).

(Thanks TB)

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