Hi Bartram, thanks for your analysis of the ONS data.
I note that the ONS explain how they calculate ASMR: "(ASMRs) allow for comparison of mortality rates of populations with different age structures, as the population is standardised in five-year age groups to a standard population".
Why then, if they have the data in 5-year age groups do they aggregate 10-59 into a single age group? This enables many to claim Simpsons Paradox (i.e. you can't deduce anything) for that age group.
If it was worth the ink/bits, perhaps a FOI would enable access to the original data?
Thanks for the link. It is all too often this way with the covid data -- in this case, you can get hold of deaths by age group and deaths by vaccination status, but not by age and vaccination status...
Hi Bartram, thanks for your analysis of the ONS data.
I note that the ONS explain how they calculate ASMR: "(ASMRs) allow for comparison of mortality rates of populations with different age structures, as the population is standardised in five-year age groups to a standard population".
Why then, if they have the data in 5-year age groups do they aggregate 10-59 into a single age group? This enables many to claim Simpsons Paradox (i.e. you can't deduce anything) for that age group.
If it was worth the ink/bits, perhaps a FOI would enable access to the original data?
I had a look at the relationship between UK teen vaccinations and excess mortality. You're right about the various data sets not being comparably segmented. https://truthsleuth.substack.com/p/are-the-vaccines-killing-uk-teens
Thanks for the link. It is all too often this way with the covid data -- in this case, you can get hold of deaths by age group and deaths by vaccination status, but not by age and vaccination status...
Interesting that the UKHSA release death rates per 100,000 for different age groups for Covid-related deaths though...
Thank you for your work.