The forth chart from the top "ages 10-59"
https://www.covid-datascience.com/post/what-do-uk-data-say-a...
This site is very pro vaccine, but even here they have to do a lot of hand waving to try and explain it away. And Suddenly everything is fuzzy, they can't quite put the two together. Which is almost funny considering these same people were touting the effectiveness of the vaccine on cherry picked statistical data with utmost certainty.
APPENDIX 1. LIST OF ADVERSE EVENTS OF SPECIAL INTEREST from the pfizers own study.
http://supremelaw.org/authors/pfizer/1290.adverse.events.htm
Here's another one, young person, story from today.
https://www.cbc.ca/news/canada/kitchener-waterloo/ayr-centen...
[Edit] Corrected the link https://www.covid-datascience.com/post/what-do-uk-data-say-a...
Can you think of any confounding issues among those samples when split only by vaccination status?
Like maybe the median age or percent with AARP memberships?
"In the UK, ages 1-59 year olds are dying at almost eight time the rate if they don't have any baby tooth left and don't absurdly love dinosaurs".
The fact that people have to actually write the whole data analysis down is mind boggling, because it's so trivial to understand the reason.
Still, this is the conclusion : "Thus, the results we see in the actual UK all-cause deaths for fully vaccinated and unvaccinated is not unexpected, and can be fully explained by the Simpson's paradox artifact since the observed ratio of vaccinated:unvaccinated all cause death rates, 1.82x in week 30, is less than the expected background ratio of 2.41x based on their disparate age distributions."
That's not "a lot of hand waving to try and explain it away". They do a very methodical and sensible mathematical analysis of the data at hand, including the initial data point, to explain a very simple thing : people tend to die older overall, and older dying people tend to vaccinate more.
A large number of Canadian doctors also died suddenly and unexpectedly.
I’ve sadly witnessed it happen before.