In considering lives lost due to the corona virus, it would be worthwhile to calculate a Loss of Expected Lifetime (LEL) whereby the number of deaths is multiplied by a factor equal to (E - D)/E, where E is life expectancy at birth, D is mean age at death. Due to the great age of most of those killed by the virus, this would reduce the headline number concerning the impact of the virus by a factor of perhaps ten or twenty.
Furthermore, one might adjust LEL by an age-dependent life quality index (LQI), with a value of 1 at birth and 0.01 at age 100. This would likely deflate the headline loss numbers by a further factor of ten or thereabouts.
Overall, such calculations would reduce the apparent devastation of, say, one million Covid-19 deaths to something like 10,000 LQI-adjusted LELs, which not only seems less appalling, but is more accurately reflective of the human cost.
Related:
Piers Robinson: Is the Corona Virus a new 9/11, a new deep event?
Luis Miguel: How to Fight Coronavirus (Without Causing a Global Depression)
Gateway Pundit: EU Total Deaths Per Week for All 24 Reporting Countries Combined is LOWER than the Normal Weekly Rate in EVERY Age Group
John P. Ioannidis: A fiasco in the making? As the coronavirus pandemic takes hold, we are making decisions without reliable data
James Corbett: The Greatest Depression
Showing posts with label life quality index. Show all posts
Showing posts with label life quality index. Show all posts
Monday, March 30, 2020
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