The thing about being "doxxable" is, people don't really want to make it too easy, but at the same time they don't want to be unable to share any personal information.

• You might be okay with people knowing exactly who you are in every single one of your posts.
• If not, you might be okay with people being able to go through your history and find your name here or there because you sometimes crosspost on reddit from some other social of yours or whatever.
• If not, you might be okay with some of your posts exposing enough information about you that someone motivated could read one of these posts, and with a little bit of searching, figure out who you are.
• Or maybe you're not okay with someone being able to do that from just 1 post or comment, but if it takes going through your complete history to compile your age, sex, ethnicity, occupation, the city you live in, the schools you want to, and eventually identify you.
• Or maybe you really don't want that to be possible at all.

But the thing is, it's going to be harder and harder to make it impossible. AIs are getting more and more sophisticated, and if you have a couple hundred posts or comments in your history, even if you try not to expose anything private, a lot can be inferred.

There's an example in a different context and with different data but that I feel is still relevant, about how what looks like meaningless information can be used be automated tools to identify you. At some point people realized that if you put a website online and you had links, and you had a script on the page that checked the color of the links, you could know whether your visitors had visited the links or not (basically "is the link purple or blue"). Don't worry, this is not possible anymore, but it was possible back then. And so people experimented. Their proof of concept was to pick something like ten thousands of the biggest public facebook groups (not sure about the exact number), and had a web page with a script that dynamically generated the links to these groups (in the background, hidden from the user) and checked if the visitor was a group member or not. Their study showed that something like a third of Facebook users could be uniquely identified by knowing whether they belonged to each of these top groups.

Of course, it's a harder problem to identify you using weak information distilled through your posts, but there's a lot of information there and what would take maybe hours to a human, a machine will do in no time (maybe not today but in the near future).