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March 6-10. 
Thread on Ask Old People: How do you guys feel about the new generation's idea that gender is malleable?
Most of the comments are agreeing that gender has always been varied and complex, it's just now becoming mainstream and politicized. I think the current looseness and complexity in gender is not an aberration -- it's been a long time coming. The dominant gender roles that we've been living under -- even if you include stereotypical gay men and lesbians -- are much simpler than the full range of human feeling and expression. Meanwhile, the whole subject of gender has been sucked into the engines of polarization, and not just in the world of politics. A key paragraph:
I also had kids in the 2000s-2010s and was really frustrated with the shopping choices. If you had a girl, everything had to be PINK! Even car seats for crying out loud. Things that should never ever be gender specific suddenly were. Cups and plates--can't kids even take a drink without being gender-conscious? I couldn't find plain pajamas for my kids. It was pink and purple princess and unicorns for girls, or red and blue sports and cars for boys. I actively searched for something that was just blank or stripes or something, but no. Everything had to be printed with words like "mommy's little princess" or else be covered in soccer balls. Suddenly girls can't like dinosaurs or planets. Boys can't wear any color that approaches pastel. I think that division drove a lot of backlash. I'm a girl who likes science and math. I must be part boy!
Calling gender a spectrum doesn't go far enough, because a spectrum is only one dimension, and both poles have been locked down by marketing and Hollywood. I don't want to be anywhere on a spectrum from sports cars to unicorns, or from Marilyn Monroe to Burt Reynolds.
As for where this is going, surely the way we think about gender now will not be the way we think about it in 50 years. My optimistic guess is that chromosomes will mainly be used for medical purposes, and the line between men's and women's sports will be drawn by testosterone testing. And then there will be clusters of common gender categories, not that different from the ones we have now, but more people comfortably outside them.
Matt comments: "Phenomenologically, I can't find any 'masculinity' in pure consciousness. Where should I look? What should I look for?"
If masculinity and femininity are real, but they're not in pure consciousness, nor reliably in DNA, then they must be real on a level between those things. This is what transgender people actually report: even though my chromosomes say one thing, I feel like another thing on a deeper level. We've been talking about this level for thousands of years, from Plato's allegory of the cave to Jung's collective unconscious.
Personally, over the last few years I've been really enjoying exploring my feminine side. I'm writing female protagonists in fiction and playing female avatars in video games. But I don't identify as trans because I feel comfortable in a male body. Even if I'd been born female, and if I had a magic sex changing power, I would still be male for going out in public, because testosterone is a cheat code, and I don't want to be creeped on.
I don't see anyone saying, "I'm the spirit of one gender in the body of another, and I like it." So I'll continue to say that I'm a cis male who's ambitious about developing my anima.
March 10. Three links about work-life balance. The Perks Workers Want Also Make Them More Productive. Specifically, working from home, working fewer hours, and paid leave.
A Reddit thread about why Americans want to move to Germany
And Gabriel sends this tweet from NEETWorldOrder:
It must be nice to live in one of those European countries that peaked 400 years ago. It's like playing the game after you've already finished it. There's no money to be made and nothing to do anymore except sit around and find high quality ingredients for dinner.
March 13. Samsung "space zoom" moon shots are fake, and here is the proof. Specifically, Samsung smart phone cameras are using neural networks, trained on images of the moon, to fill in details in moon photos, that are not there in the raw photographs. This is a dangerous precedent, of photos being stealthily enhanced to show what's supposed to be there, potentially veering off from what's actually being seen.