Cris_Citrus (he/him <3)

I like art and being nice to people on the internet. At least most of the time. My previous account was Cris_Color before changing instances

Queer, gender-messy twink. Into crafts. Learning how to care for plants. Nerdy about fish and aquariums.

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Joined 8 months ago
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Cake day: February 26th, 2026

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  • People love to see a woman put in her place. If you watch courtroom footage videos you’ll see a similar pattern- like 50-75% of reccomended and highly watched videos are just “this woman sucks, watch her get put in her place”

    And the other videos aren’t “man gets put in his place”, they’re other groups someone might have issues with or that might be high profile and significant- cops, lawyers, judges, landlords, tennants. Bonus points if you’re also a woman. But if you’re a woman it doesn’t matter what group you’re in, you can be cast as the villain.

    By the law of large numbers, there will always be more examples of women as the villains, and even if videos casting men as villains get posted, theres a way in which the algorithm will surface those that validate peoples resentment towards women. And over time, that impacts what kinds of things get posted in the first place, because the ones where women get put in their place do well.

    And theres a way the fact that its always women who are the villain in the eyes of the algorithmically warps your perception of people. If you scroll through that reddit feed for an hour it’d be unsurprising to walk away thinking women might be shithead instigators of violence, but it would be hard for that to more severely misrepresent violence women are involved in. Now imagine how being on reddit for years and years and just getting exposed to those innocuously on r/all effects you.

    The algorithm picks what’s engaging to people, and people are DEEPLY engaged by seeing a woman put in her place. If you learn to recognize the pattern you can see how algorithms warp our understanding of the world offline












  • In all, scientists found that those who had turned to vaping after quitting traditional cigarettes developed lung cancer at a rate about 56 percent higher than those who quit entirely. Alarmingly, incidents of lung cancer death among vape users nearly doubled, with a lung cancer-specific death rate 91 percent higher than non-vape users.

    Of course, there’s an important group that falls outside the bounds of the study: anyone who got hooked on vaping without trying cigarettes first. It’d be fascinating to learn more about their fates, but the implication of the study — that vaping is turbocharging the chances of cancer among former smokers — is almost certainly cause for alarm.