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Warl0k3@lemmy.world ⁨3⁩ ⁨days⁩ ago

Then why don’t we use any Indian names for the very many famines in India due to British occupation?

Do you mean dramatized names like the Great Bengal Famine? The Bengali name is “Chiẏāttōrēr mônbôntôr (lit. 'Famine of ‘76’)”, which is pretty vague given how many famines have happened in the world. Probably it merits the fancier name because it was the first one under british rule. Or did you perhaps mean the Skull Famine, which you know, not very dramatic at all.

Demographic extrapolations and comparative economics.

Hi! I’m a data scientist specializing in public health data modeling and I’m sorry, that was a little mean of me to bait you like that, it’s a trick question: proving lives saved is the classic example of bad statistics and proving negatives. The assumptions required to make a definite statement about lives saved in a historical event are easy to make, but are necessarily so restrictive that they render any conclusions valueless unless you have definite conditions within a narrow time scope (like in a vaccine rollout or cholera outbreak). That’s why meaningless phrases like “Demographic extrapolations and comparative economics” are such an easy thing to parrot - you’re just saying “and then we do statistics, QED” without having to engage with the actual difficult part (the math).

Does comparative economics correlate to deaths? Sure! It correlates to just about everything you could ever want! The most famous example is the hemline index, which has spurred over a century of debate as to the actual causal connections (and if the theory itself even has merit). But proving that causal link to lives saved? Now that’s a damn tricky problem, and some really promising methodology has only recently arisen from the management of ventilator shortages during covid in the US (and it’s still being developed!) I highly recommend looking into it, it’s a fascinating field of research right now.

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