I am genuinely concerned that this will bleed into ML science and we may find ourselves collectively pursuing a rabbit hole of bad science in a vain attempt to reconcile empirical data with ideology.
I am genuinely concerned that this will bleed into ML science and we may find ourselves collectively pursuing a rabbit hole of bad science in a vain attempt to reconcile empirical data with ideology.
"More than 3,000 mainstream biologists were dismissed or imprisoned, and numerous scientists were executed in the campaign to suppress scientific opponents."
Wow, so what sort of rationale can we make of this? Is the logic, "Stalin supports bunk science theory", "other scientists critique said theory", "therefore they indirectly critique Stalin and reduce his legitimacy/credibility"? Something like that? Are politicians expected to grasp every scientific thing they must evaluate accurately? Why wouldn't they accept and admit 'yah maybe we got this one wrong, sorry honest mistake' than to go out and murder folks. That seems widely overreactive.
But I think it went something like this. Marx was "scientific" - Marx had created a "science" of economics and sociology, and it was the official truth of the USSR. If some crank could show that his crackpot theory of agriculture was the logical consequence of Marxism's established truth, then it too had to be the official truth of the USSR. The science was settled; all that was left was for everyone to fall in line and implement it. Anyone who opposed that was both unscientific and unpatriotic.
Except the science was objectively wrong, and implementing it resulted in disaster.
This is fundamentally unscientific and will lead to stagnation at best, regression at worst, and progress only in the unlikely case. At some point we will have to reconcile the fact that the same mathematical and scientific techniques which we correctly apply to other sets of data produce unacceptable results any time models are conditioned on demographic data.
What then?