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Trans timeline. Eye contact 

@danirabbit the subjective perception of the magnitude of change is a very interesting phenomena.

I look at these photos of you, and the changes seem tremendous—no subtlety at all. When people I’ve known for a long time first see me post-transition: “I wouldn’t have known anything changed if you hadn’t told me.” When I show new friends photos of old me, they can hardly believe it’s the same person.

Familiarity plays a big role, I think. And you look beautiful!

Of course, these are all social graph problems at heart. Path—my all time favorite social network—was all ablut tiny communities of besties and/or families; LinkedIn is self-selecting professional relationships (effectively instance-based); Facebook and Instagram are basically just the whole of humanity, a few of which you’ve favorited; Google Plus (as well as I remember it), was very forward about allowing you to create different “circles,” but we all balked at the overhead of it all.

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@Terra@chaosfem.tw saw a bumper sticker on Friday that got a giggle out of me: “Behind every good woman is herself.”

So, obviously, just don’t do large instances at all, right? But then we’re back to the discoverability, administrative, and operational problems. (All of which can be pitched as features, if you look at them from the right angle).

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Also, caching is a _thing_, if you want to grow a large instance.

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But instances are administrative and technical obstacles, and discoverability is not good. There’s a potentially a lot of duplication of effort across instances, some of which reflects community values, some of which are probably shared by all users. (e.g., community content moderation versus global security)

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Right now, instances are the closest corollary to communities. Ideally, your instance is populated by people who are similar enough to you in enough ways that your conversations are rewarding, and your federated timeline more relevant than not.

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Been doing some light reading on mastodon this weekend. Unconnected, ill-informed thoughts follow.

nicole boosted

I think this lady is somehow… hot? and this lady is somehow… me!?

if I had known this was waiting on the other side of transitioning…

if you wanna be a girl you can just be a girl 🩷

Trans timeline. Eye contact 

@danirabbit You’re riding the express train to super cute! 💖

@danirabbit Ugh. The hoops through which we must jump. :/

Which place was this so that it can be avoided?

There are exciting days at work and then there are _exciting_ days at work. This was one of the latter. After running on 12 happy pistons for 12 happy hours, I’m kicking back with a small tub of ice cream and a little greedy dog.

selfies / hrt changes 

@seraphucked HRT 🧚‍♀️ doing it’s thing!

@Terra@chaosfem.tw It’s gonna be a whole lot more once you add up all the years all the people who read your post are going to spend letting their minds tease at it. 📈

@Terra@chaosfem.tw Been thinking about this one pretty much nonstop since you shared it. 🙇‍♀️

It’s a lifelong art project, being a bad Japanese student. I’m really good at it.

Back in California, where the food isn’t quite as sumptuous, but there’s a little dō who jumps for joy when she sees me.

I may or may not have basically danced all the way from the bar back to my airbnb last night while listening to Future Nostalgia. I blame the sport peppers in my Vesper.

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myna.social

Basic models of flocking behavior are controlled by three simple rules: 1) separation: avoid crowding neighbours (short range repulsion); 2) alignment: steer towards average heading of neighbors; 3) cohesion: steer towards average position of neighbors (long range attraction). With these three simple rules, the flock moves in an extremely realistic way.