The key figure from the paper - your risk of death from COVID-19 goes up exponentially by age: 1 in 50,000 at age 20 1 in 1,500 at age 40 1 in 130 at age 60 1 in 12 at age 80pic.twitter.com/u15ODdbBzu
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The key figure from the paper - your risk of death from COVID-19 goes up exponentially by age: 1 in 50,000 at age 20 1 in 1,500 at age 40 1 in 130 at age 60 1 in 12 at age 80pic.twitter.com/u15ODdbBzu
The other big thing we found was that the age breakdown of places almost entirely explained (~90%) the observed variance in population IFRpic.twitter.com/5knmGqgnad
In other words, the population IFR of a place largely boils down to who gets infected. In Northern Italy, lots of old people got COVID-19, so the IFR was much higher than in Iceland, where it was mostly younger people!
„In contrast, our findings are markedly different from those of another review of population IFR that includes samples that did not satisfy our inclusion criteria [152].“
Best sentence in your paper. 
[152] should actually have referenced himself with his (rightly) famous "Why Most Published Research Findings Are False" :-)
great paper. with regards to nursing homes: is the reference to appendix P correct. there is no discussion of NHs in appx P? the nursing home topic is something we have looked into deeply and came to similar conclusions like the literature you cited https://twitter.com/CoronaReduit/status/1336322824152104960 …pic.twitter.com/xxFy55k8RK
That's to do with excess deaths. We did not exclude deaths that occurred in nursing homes, whereas some other studies did and found lower IFRs in the older population
Congratulations. Very helpful publication.
So important.
Thx 
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