Comment by sokoloff

2 years ago

I’d be pretty surprised if that increase averaged more than 15 seconds per person per day and shocked if the increase was more than 3 minutes on average.

5 comments

sokoloff

Qem 2 years ago

  Python 3.11.6 (main, Oct  3 2023, 00:00:00) [GCC 13.2.1 20230728 (Red Hat 13.2.1-1)] on linux
  Type "help", "copyright", "credits" or "license()" for more information.
  >>> population_base = [100_000_000, 1_000_000_000, 8_000_000_000]
  >>> for population in population_base:
  ...     print('15s/day for',population, 'people equals:', round((15*population)/3600), 'man-hours/day')
  ... 
  ...     
  15s/day for 100000000 people equals: 416667 man-hours/day
  15s/day for 1000000000 people equals: 4166667 man-hours/day
  15s/day for 8000000000 people equals: 33333333 man-hours/day

sokoloff 2 years ago

Now compare that to the total productivity loss (using whatever marginal efficiency deflator you think is reasonable).
If you're trying to get shorter workdays, go for that.
If you're trying to get more open source labor, go for that.
Arguing that the best way to target the second is via the first seems tenuous at best.
Kim_Bruning 2 years ago

I guess that means I'm not the only person to use a repl for calculations. Neat!
(Though this has evolved a bit for me, in order of tidiness/laziness : repl -> jupyter -> GPT+ data analysis)