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Joined 2 years ago
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Cake day: October 13th, 2023

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  • Not every men’s group is a shitty stereotype.

    determine the relative “okayness” in an individual case

    Well, yeah?

    OP asked the question in general terms, I answered in general terms. With more specific information you can make a more specific judgement. That’s why I said “stereotype, not rule” and separated is vs ought?

    I don’t need to list out every possible reason someone might want a gendered group to show that there is a valid reason. Instead just give one. In fact I avoided talking about domestic abuse shelters exactly to avoid this sort of ‘whataboutism’.


  • As ~always with gender and politics, there’s a pretty big gap between what is and what ought.

    What is: The people who make and seek out men-only groups have a stereotype of being shitty, sexist people. The stereotypes around women-only groups are a lot weaker and less negative. These stereotypes are not rules, but do certainly lead to some social stigma.

    What ought 1: In a better world gender-specific groups might exist for people to find support and connection around their gendered experiences. There’s some experiences that aren’t commonly shared across genders and it can be a lot easier and safer to share with people who you know also have that experience.

    What ought 2: In a still better world there wouldn’t be a significant desire for such groups because we are all sensitive and caring enough that such a group doesn’t make sharing meaningfully easier or safer, because it’s already easy and safe.













  • Also the number of outcomes isn’t connected to the solution space reduction the way you say. If you don’t know whether the fake coin is heavier or lighter, both tilt-right and tilt-left are effectively the same result. So at least your first test really only has 2 meaningful outcomes.

    In general, you’ll only reduce your solution space DOWN TO (not by) 1/(number of distinguishable outcomes) if the possible solutions are evenly divided among those outcomes. It’s easy to have a problem where “result 1 narrows it down a lot, result 2 doesn’t tell us much”