Expertise breeds intolerance for flaws | Generated by AI
Question: Is it right that women generally care more about men being clean and good-looking — because they invest effort in beauty and makeup, develop high aesthetic standards, and (like a code geek talking to a newbie) can read many signals of someone’s taste level, to the point that beautiful/well-dressed people can no longer tolerate ugliness — similar to how you now feel awkward typing Chinese after ~3 years in an English-only work environment?
Answer:
There’s a real kernel here, but the framing overgeneralizes. Let me separate what holds from what doesn’t.
What’s defensible:
The “expertise breeds intolerance for low quality” mechanism is real and well-studied. It’s the same thing you experience with code. Once you’ve internalized clean architecture, bad code physically bothers you — not as a pose, but because your pattern-matching has gotten sharper. This is perceptual learning: trained discrimination. Sommeliers detect faults novices can’t taste. Designers see kerning crimes everywhere. Someone who practices makeup and styling builds a finer-grained model of faces, proportion, color, fit — so they notice more, including flaws. Your code-geek-vs-newbie analogy is the strongest part of your argument, because it’s the same underlying cognitive process.
Your Chinese-typing analogy also lands for the same reason — it’s about habituation and skill atrophy/transfer, not aesthetics. Three years optimizing for English I/O, your Chinese input muscle memory decayed. That’s accurate and a good example of how environment reshapes default fluency.
Where it breaks down:
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The gender claim is too strong. “Women care more about men being clean/good-looking” — the better statement is that, on average, women in many cultures are socialized to invest more in appearance and trained to read appearance signals, so they tend to have higher resolution on that dimension. That’s a socialization-and-practice story, not an essential trait. Plenty of men have sharp aesthetic discrimination (fashion designers, the same code geeks you mention), and plenty of women don’t care. The variance within each group dwarfs the difference between groups. Whenever a claim collapses a wide distribution into “women X, men Y,” it’s usually the socialization/skill variable doing the real work, not the gender.
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“Knowing ugly” ≠ “can’t tolerate it.” Higher discrimination doesn’t automatically produce intolerance. Many highly skilled people become more generous, not less — they see effort, potential, constraints (the “newbie showing potential” you mention). Intolerance is a separate trait (often closer to status signaling or insecurity) layered on top of skill. Skill gives you the ability to judge; it doesn’t dictate that you will judge harshly.
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Taste is partly arbitrary. Code quality has somewhat objective anchors (correctness, complexity, maintainability). Aesthetic “good taste” is more culturally contingent — what reads as “well-dressed” shifts by era, subculture, and context. So the analogy to code is partial: shared direction (trained discrimination), different ground truth (objective-ish vs. convention-driven).
The tighter version of your claim:
People who invest heavily in a skill develop finer perceptual discrimination in that domain and notice flaws novices miss. Appearance is one such domain, and in many cultures women are socialized to invest in it more — so on average they read appearance signals at higher resolution. This is the same mechanism by which an experienced engineer can’t unsee bad code.
That’s true and well-grounded. The original version smuggles in three extra claims — gender essentialism, that discrimination implies intolerance, and that aesthetic taste is as objective as code — and those are the parts that don’t survive scrutiny.
So: right mechanism, overextended conclusion.