It might also be interesting to measure the cost of the pandemic in terms of economic harm, how much the GDP dropped, how much production was lost, how many stores closed, etc.
It might also be interesting to measure the cost of the pandemic in terms of economic harm, how much the GDP dropped, how much production was lost, how many stores closed, etc.
On way of contextualizing it that doesn't equate lives with economic output is to divide by life expectancy: if life expectancy is 70 years then 50 million years lost ~= 0.7 million human lives that never happened, or 0.7 million healthy newborns that died preventable deaths.
> From a purely utilitarian perspective, the worst age to die is 20-22,
that's easily adjustable: if 95% of newborns become healthy 20 yr olds, then just multiply the number of newborns by 0.95. The harder part is estimating total number of years lost, but it doesn't sound particularly out of the ordinary for a research problem in statistics/epidemiology.
Which "costs" more, 100k 20-year-olds dying today, or 100k babies dying today? The 20-year-olds have already had a lot of time, money, and opportunity poured into them, while the babies have not.
“oh, those slaves in [country] only cost me 0.03$/year, no big deal.”
Consider the average human worker. In their life, they will output around 10.5 human years worth of work. 50 million years represents the total output of about 4.76 million human lives.
So if you delete the production of 3 million people due to COVID deaths plus all the time spent in lockdowns, 50 million human years lost sounds about right, but probably could be higher. I'd say it's probably about 80 million human years lost.
We could count "years of productive work lost", but that feels like a very cynical way to look at it.