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Interesting, thank you!

Tessellation by M. C. Escher

Here's an example paper estimating the number of years of life expectancy lost is ~10 years.


Note that in the UK for example the average age of COVID deaths is around 80 with many of those from care homes where their life expectancy is particularly low. This statistic makes the figure of ~10 years of life expectancy lost fairly plausible.

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If lockdown reduces the quality of life of the population by 10% (conservative estimate IMHO), then each month of lockdown for a country with a population of 60M corresponds to 60M * 0.1 = 6M months = 500k QALYs lost. The average number of life expectancy years lost for a death by COVID is estimated to be ~10 years so 50k COVID deaths ~= 500k QALYs lost. This means that in a population of 60M you need to expect to be saving 50k COVID deaths every single month of lockdown just to break even and this is using a conservative estimate of the reduction in quali... (read more)

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This seems to be only counting the direct QALYs lost from deaths, but not the grief and general disruption that the dead people's loved ones suffer? Nor the lowered quality of life to people who survive, but suffer long-term damage.
  Where did this number come from? The life expectancy of a 65 years old man is 19 years. Source: Life Expectancy Calculator [] Now, you must consider that Peru managed to reduce their death rate to ~0.1% with a lockdown. The situation is terrible but it could have been worse -- if they didn't act. So: your analysis is minimizing the cost of a death and failing to take into account the reduction in the number of deaths thanks to the lockdown.