-Like many gender-dysphoric males, I [cosplay](/2016/Dec/joined/) [female](/2017/Oct/a-leaf-in-the-crosswind/) [characters](/2019/Aug/a-love-that-is-out-of-anyones-control/) [at](/2022/Dec/context-is-for-queens/) fandom conventions sometimes. And, unfortunately, like many gender-dysphoric males, I'm _not very good at it_. I think someone looking at some of my cosplay photos and trying to describe their content in clear language—not trying to be nice to anyone or make a point, but just trying to use language as a map that reflects the territory—would say something like, "This is a photo of a man and he's wearing a dress." The word _man_ in that sentence is expressing _cognitive work_: it's a summary of the [lawful cause-and-effect evidential entanglement](https://www.lesswrong.com/posts/6s3xABaXKPdFwA3FS/what-is-evidence) whereby the photons reflecting off the photograph are correlated with photons reflecting off my body at the time the photo was taken, which are correlated with my externally-observable secondary sex characteristics (facial structure, beard shadow, _&c._), from which evidence an agent using an [efficient naïve-Bayes-like model](https://www.lesswrong.com/posts/gDWvLicHhcMfGmwaK/conditional-independence-and-naive-bayes) can assign me to its "man" (adult human male) category and thereby make probabilistic predictions about some of my traits that aren't directly observable from the photo, and achieve a better [score on those predictions](http://yudkowsky.net/rational/technical/) than if the agent had assigned me to its "woman" (adult human female) category, where by "traits" I mean not (just) particularly sex chromosomes ([as Yudkowsky suggested on Twitter](https://twitter.com/ESYudkowsky/status/1067291243728650243)), but the _conjunction_ of dozens or hundreds of measurements that are [_causally downstream_ of sex chromosomes](/2021/Sep/link-blood-is-thicker-than-water/): reproductive organs _and_ muscle mass (again, sex difference effect size of [Cohen's _d_](https://en.wikipedia.org/wiki/Effect_size#Cohen's_d) ≈ 2.6) _and_ Big Five Agreeableness (_d_ ≈ 0.5) _and_ Big Five Neuroticism (_d_ ≈ 0.4) _and_ short-term memory (_d_ ≈ 0.2, favoring women) _and_ white-to-gray-matter ratios in the brain _and_ probable socialization history _and_ [any number of other things](/papers/archer-the_reality_and_evolutionary_significance_of_human_psychological_sex_differences.pdf)—including differences we might not necessarily currently know about, but have prior reasons to suspect exist: no one _knew_ about sex chromosomes before 1905, but given all the other systematic differences between women and men, it would have been a reasonable guess (that turned out to be correct) to suspect the existence of some sort of molecular mechanism of sex determination.
+Like many gender-dysphoric males, I [cosplay](/2016/Dec/joined/) [female](/2017/Oct/a-leaf-in-the-crosswind/) [characters](/2019/Aug/a-love-that-is-out-of-anyones-control/) [at](/2022/Dec/context-is-for-queens/) fandom conventions sometimes. And, unfortunately, like many gender-dysphoric males, I'm not very good at it. I think someone looking at some of my cosplay photos and trying to describe their content in clear language—not trying to be nice to anyone or make a point, but just trying to use language as a map that reflects the territory—would say something like, "This is a photo of a man and he's wearing a dress." The word _man_ in that sentence is expressing cognitive work: it's a summary of the [lawful cause-and-effect evidential entanglement](https://www.lesswrong.com/posts/6s3xABaXKPdFwA3FS/what-is-evidence) whereby the photons reflecting off the photograph are correlated with photons reflecting off my body at the time the photo was taken, which are correlated with my externally observable secondary sex characteristics (facial structure, beard shadow, _&c._). From this evidence, an agent using an [efficient naïve-Bayes-like model](https://www.lesswrong.com/posts/gDWvLicHhcMfGmwaK/conditional-independence-and-naive-bayes) can assign me to its "man" (adult human male) category and thereby make probabilistic predictions about traits that aren't directly observable from the photo. The agent would achieve a better [score on those predictions](http://yudkowsky.net/rational/technical/) than if it had assigned me to its "woman" (adult human female) category.