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Culture War Roundup for the week of September 18, 2023

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I will charitably assume that you understand discrimination here quite broadly, and mainly as things on the quantitative side, like multidimensional demographic profiling in mortgage approvals, rather than a recipe for an explicit caste society. Most arguments against this line of thought are invalid (rejecting the premise) or non-consequentialist and «principled» to the point of absurdity (statistically reliable proxies in uncertainty are bad! Uncertain gut feelings/laughably gameable metrics are good!).

I think the main problem with the utilitarian approach is simply that the society we have cannot be trusted with the full power of Reverend Bayes. That's okay, in my view: it'll recalibrate under the pressure of truth and retain its good sides while reducing bad ones. But, as it stands, Nick Land said it best:

Consider John Derbyshire’s essay in infamy The Talk: Nonblack Version, focusing initially on its relentless obnoxiousness, and attentive to the negative correlation between sociability and objective reason. As Derbyshire notes elsewhere, people are generally incapable of differentiating themselves from group identities, or properly applying statistical generalizations about groups to individual cases, including their own. A rationally indefensible, but socially inevitable, reification of group profiles is psychologically normal – even ‘human’ – with the result that noisy, non-specific, statistical information is erroneously accepted as a contribution to self-understanding, even when specific information is available.

From the perspective of socially autistic, low-EQ, rational analysis, this is simply mistaken. If an individual has certain characteristics, the fact of belonging to a group that has similar or dissimilar average characteristics is of no relevance whatsoever. Direct and determinate information about the individual is not to any degree enriched by indirect and indeterminate (probabilistic) information about the groups to which the individual belongs. If an individual’s test results are known, for instance, no additional insight is provided by statistical inferences about the test results that might have been expected based on group profiling. An Ashkenazi Jewish moron is no less moronic because he is an Ashkenazi Jew. Elderly Chinese nuns are unlikely to be murderers, but a murderer who happens to be an elderly Chinese nun is neither more nor less murderous than one who is not. This is all extremely obvious, to obnoxious people.

To normal people, however, it is not obvious at all. In part this is because rational intelligence is scarce and abnormal among humans, and in part because social ‘intelligence’ works with what everyone else is thinking, which is to say, with irrational groupish sentiment, meager information, prejudices, stereotypes, and heuristics. Since (almost) everybody else is taking short-cuts, or ‘economizing’ on reason, it is only rational to react defensively to generalizations that are likely to be reified or inappropriately applied — over-riding or substituting for specific perceptions. Anybody who anticipates being pre-defined through a group identity has an expanded ego-investment in that group and the way it is perceived. A generic assessment, however objectively arrived at, will immediately become personal, under (even quite remotely) normal conditions.

Obnoxious reason can stubbornly insist that anything average cannot be about you, but the message will not be generally received. Human social ‘intelligence’ is not built that way. Even supposedly sophisticated commentators blunder repeatedly into the most jarring exhibitions of basic statistical incomprehension without the slightest embarrassment, because embarrassment was designed for something else (and for almost exactly the opposite). The failure to understand stereotypes in their scientific, or probabilistic application, is a functional prerequisite of sociability, since the sole alternative to idiocy in this respect is obnoxiousness.

As it stands, so it goes.

  1. Does this suggest that if such an obnoxious rational person does have the statistical sophistication to draw such distinctions and make decisions in secret, then it's okay? That is, stereotypes are bad in general if widespread because normies will abuse them, but the actual rational analysis is fine if used in an isolated and secret way that normies don't find out about?

  2. What defines "obnoxious" here? Is rationalism itself defined as obnoxious because it cares about pedantic details that normies don't? Or is it merely the social obliviousness of nerdy rationalists who oversimplify everything and miss the forest for the trees, such that a more sophisticated rational intelligence that understands and compensates for normies would not be obnoxious?

I think this racist is better than the last, but the next racist will be the really good one. That will be our lucky racist. He will grant us three wishes.

There's another problem as well. Finding out specific information about someone is not free.

It may be that if a group has a 20% greater chance of committing a robbery in the future, it's cheaper to just exclude all of the group than to specifically examine each one. This is especially so when the undesirable trait is something like "will do X in the future"--it's pretty hard to measure that before it happens.

Thanks for pointing this out. Land here articulates very well something I've been trying to understand for quite a while.

A more simplified way to put it in my view, would be to say that statistical analysis and the scientific method more generally are best used as limited tools. Unfortunately these tools were so mind-bogglingly, world-shatteringly powerful our ancestors couldn't help but violently wrench the entirety of human society to serve the tools, and make them more effective. Now we can't even use the tools properly, because the masses of society don't understand that these methods aren't the exact same thing as divine messengers serving up Truth from the heavens.

And so the wheel turns. At least soon we'll have artificial intelligence to turn the wheel for us.