+Realistic worldbuilding is a difficult art: unable to model what someone else would do except by the ["empathic inference"](https://www.lesswrong.com/posts/9fpWoXpNv83BAHJdc/the-comedy-of-behaviorism) of imagining oneself in that position, authors tend to embarrass themselves writing [alleged aliens or AIs that _just happen_ act like humans](https://www.lesswrong.com/posts/Zkzzjg3h7hW5Z36hK/humans-in-funny-suits), or allegedly foreign cultures that _just happen_ to share all of the idiosyncratic taboos of the author's own culture. The manifestations of this can be very subtle, even to authors who know about the trap.
+
+[TODO: minimal Planecrash summary]
+
+[TODO: Keltham's proposal]
+
+... and that's where my suspension of disbelief in Keltham as
+
+The entire idea of "The government can't discriminate by race or sex" as a _principle_ (as contrasted to most laws happening to not refer to race or sex because they happen to not be relevant to that specific law) is a specific form of Earth-craziness that only makes sense as a reaction to other Earth-craziness. It's not something you would ever spontaneously invent or think was a good idea if you _actually_ came a 140 IQ Society that thoroughly educated everyone in probability theory as normative reasoning. Let me explain the principles first, and then dissect the example of military conscription (possibly _the worst_ possible example the authors could have gone with).
+
+The issue is that probability theory doesn't have any built-in concept of "protected classes." On pain of paradox, Bayesians _must_ condition on all available information. If groups differ in decision-relevant traits, _of course_ you should treat members of those groups differently! What we call "discrimination" in America on Earth is actually just Bayesian reasoning; P(H|E) = P(E|H)P(H)/P(E) doesn't _stop being true_ when H happens to be "I should hire this candidate" and E happens to be "The candidate is a halfling". Furthermore, there's no reason for the law to behave differently in this respect than a private individual: is Governance supposed to be _less_ Bayesian _because it's Governance_?!
+
+(As an aside, it's actually kind of _hilarious_ how far Yudkowsky's "rationalist" movement has succeeded at winning status and mindshare in a Society whose [_de facto_ state religion](https://slatestarcodex.com/2019/07/08/gay-rites-are-civil-rites/) is [founded on eliminating "discrimination."](https://richardhanania.substack.com/p/woke-institutions-is-just-civil-rights) Did—did anyone besides me "get the joke"? I would have expected _Yudkowsky_ to get the joke, but I guess not??)
+
+Of course, as Keltham correctly points out, if you have more specific information about an individual that [screens off](https://www.lesswrong.com/posts/5yFRd3cjLpm3Nd6Di/argument-screens-off-authority) information from their demographic category, then you should use the more specific information: once you measure someone's height, the fact that men are taller than women with an effect size of 1.7 standard deviations is no longer relevant to the question of that person's height. In very many situations, if there's a cost associated with acquiring more specific individuating information that renders information from demographic group-membership irrelevant, you should pay that cost in order to get the more specific information and therefore make better decisions.
+
+But crucially, getting individuating information is an [instrumental rather than a terminal value](https://www.lesswrong.com/posts/n5ucT5ZbPdhfGNLtP/terminal-values-and-instrumental-values); you should do it _when and because_ it improves your decisions, not because of some alleged principle that you're _not allowed to notice_ someone's race or sex. If there's a _cost_ associated with taking individual measurements, and the cost exceeds the amount you would save by making better decisions, then you shouldn't take the measurements. If your measurements have _error_, then your estimate of the true value of the trait being measured [regresses to the group mean](https://en.wikipedia.org/wiki/Regression_toward_the_mean) to some quantitative exent; again, this just falls out of _ordinary_ Bayesian reasoning, which continues to work even when some of the hypotheses are about groups of people.
+
+If this still seems counterintuitive, it may help to consider that from the standpoint of Just Doing Bayesian Decision Theory, the distinction between "information from demographic group membership" and "information from individual measurements" isn't fundamental.
+
+"Sex" and "race" aren't
+
+https://www.lesswrong.com/posts/vhp2sW6iBhNJwqcwP/blood-is-thicker-than-water
+
+* "sex" and "wisdom" are both abstract categories that it would suck if the category mispredicted you; there's no principled difference
+* The specific military example
+
+----
+
+[TODO— make intro much shorter; minimal amount of words/info to set up the context for my complaint