If this is true, social distancing wouldn't help us much but disallowing gatherings of people in badly ventilated areas would.
https://www.nytimes.com/2020/06/02/opinion/coronavirus-super...
https://medicalxpress.com/news/2020-06-coronavirus-importanc...
Which would be a good argument for variolation.
That is, deliberately infect yourself with a very small virus dose. Small enough that you don't get seriously ill, but big enough that you get immunity.
This is also why we see young healthy medical personnel die from the disease, 1) their immune system is degraded from harsh working conditions 2) the viral loads are many multiples higher from basically getting coughed in the face all day long
That doesn't mean it's a bad idea.
However, the good thing about blood type is that it should be reasonably easy/quick to do a followup where you examine a lot more patients, or even just randomly selected individuals, to see if it really holds up. As a type O person myself, I am hopeful.
as a matter of fact artificially raising the cutoff to make the results sound more convincing is a form a p-hacking
it is exactly the opposite of how p-values work. a smaller p-value does not make a result more reliable, it makes no sense whatsoever to reject a 10^-7 but trust in 10^-8
the misuse of p-values in the world is rampant - the only people that don't misuse them are those that do not use them ;-)
"The most commonly accepted threshold is p < 5 × 10−8, which is based on performing a Bonferroni correction for all the independent common SNPs across the human genome"
Any what do you mean by "opposite of how p-values work"?
Obviously if P(data or more extreme|null hypothesis) = 10^-8 it's significantly less likely to see the data if the null hypothesis was true, than if P(data or more extreme| null hypothesis) = 10^-7.
[0] https://www.nejm.org/doi/full/10.1056/NEJMoa2020283?query=fe... "Genomewide Association Study of Severe Covid-19 with Respiratory Failure"
That said, finding associations with ACE2 and blood type regions are not totally insane!