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The example that springs to mind immediately is that autistic behaviors are white-coded. This hurts black autistic people and white autistic people in different ways. Inaccuracy always has consequences. Therefore the answer to "scientific racism" has to be scientific anti-racism
That we can't even frame race through the lens of science without immense social baggage destroying the conversation is long term bad for anti-racism. A valid criticism would be that the questions that get asked are about black antisociality rather than non-black antisociality.
This would further be a critique of the naive bayesianism of some rationalists which admits sense experience as nascent evidence to be enhanced by science rather than as ground for neutral hypotheses that science alone can investigate. "Pattern recognition" isn't proto-science.
The idea of proto-science as anything but food for thought; as dictating what hypotheses should be investigated and not just creating hypotheses to be tested; falls apart when massive utilities are at stake because expected value considerations drown equity considerations.
We could likely use expected value considerations to determine the order in which scientific hypotheses are considered and if done honestly this would go a long way towards alleviating social biases in the sciences.
This would have to be done recursively somehow though because each question of expected value depends on frequency assessments of adverse behavior as well as subjective reports of impact. Prediction markets might work if wealth differences didn't exist.
You could weight money invested in a given prediction by percent of total utility, taking in mind the diminishing utility of money and other such things, and it would probably provide a good rough approximation. Better than pure prediction markets.
But yeah, some sort of weighted prediction market where people bet on which hypothesis would have the most social utility if corroborated. And it works recursively, by also allowing betting on each prior, and then collapsing once all priors are weighted. Anyone else have ideas?
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