> You're off by a factor of 100. It's .01%.
> For who? Someone who uses opioids? Maybe, on average, again you're off by a factor of 100 or more.
No, lol, it's not. Those are averages across the US population. Your lifetime odds in the US of dying in an automotive accident is 1:103 [1].
I should have said accidental poisoning which is 1:64 [2] but half of that is actually opioids (1:96) so you're still more likely to die of an opioid overdose than being a party to a car accident. Most people don't set out to get hooked on Oxy, they get hurt or undergo surgery, are prescribed them, and that's that.
There's 40,000 deaths per year related to car accidents, which if you multiply out by the average lifetime (78.69 years) is right around 3.2 million, or 1%.
This is fair to compare against COVID because due to its extremely limited propensity for mutation, the COVID mortality rate does represent what approximates lifetime risk. (i.e. unlike the flu, you won't get it again).
> South Korea is probably the best current testbed here...
I argue the best testbed is the German study I cited where they actually tested... everyone. CFR is not mortality rate, its about an order of magnitude higher, again, I cited my data. And in my intuitive explanation that you're not factoring out adverse selection risk of only very sick people going to the hospital in the first place.
> Normalized by population, Sweden has seen more deaths and more infections than California.
Because everyone in California is inside. I'm sure they've seen an order of magnitude more flu deaths too because nothing spreads when you're inside. They're probably seeing infinitely more car accident deaths, too. Life's risky, and you're not comparing honestly.
[1] https://www.iii.org/fact-statistic/facts-statistics-mortalit...