If you don't allow for proper treatment like social transitioning and puberty blockers, they can't be themselves and therefore they can't exist.
Next to this there's also risk of those kids committing suicide because they can't get proper treatment, which is only getting worse with all the anti-trans laws. See https://www.nature.com/articles/s41562-024-01979-5.epdf
> As far as I can tell, you linked to abstracts for a paywalled academic papers.
Just scroll down, no paywall.
> The point is about the objective fact of what the kids want. Your moral judgement of what should be done as a result, is irrelevant to that.
This has nothing to do with my moral judgment. If a kid gets diagnosed with gender-dysphoria, they should get proper treatment. Social transition in combination with puberty blockers are the known effective treatment.
Not sure about the US, but here gender-dysphoria in children has to be diagnosed by a team of professionals that aren't allowed to steer them in any way.
You can either force a trans kid to develop the wrong kind of secondary sex characteristics. With all trauma and painful corrective procedures that will follow later in life, or you can let them take a pill a day which will halt it until they're old enough to make that decision. That really doesn't seem difficult to me.
> Also, the link you're responding to isn't a "study", but rather a position document from the NHS
I know but it's still based on the cass report, which claims to be a study.
And this is the major problem. People will blindly trust the output of AI because it appears to be amazing, this is how mistakes slip in. It might not be a big deal with the app you're working on, but in a banking app or medical equipment this can have a huge impact.
For example this morning even, I was working together with a coworker and he used ChatGPT to ask for some examples. Unfortunately they didn't work, after reading the actual documentation it turned out that the structure had to be slightly different.
This is the impression I get from everything that has been generated with "AI", on the face it looks great, but as soon as you start going into detail it's not right or just plainly wrong. The generated code had six fingers. They might be able to improve this eventually but I don't think it will ever be fixed because of the nature of LLMs.
Because events are related to users and they both are related to timezones and events can be related to each other. MongoDB is really good for storing big blobs of data you want to retrieve quickly, with some basic search and index, but it's awful at relations between data.
Height is based on genetics, not puberty (again, see the paper I linked)
Vocal changes aren't affected at all, they will change as soon as an Testosterone based puberty is started. This is why trans man have low voices too.