good for them for having such a large sample size. i admit i’m confused though, the results are an increase “by 7–72%.”? i wonder what is up with this huge range. how can we have confidence in this?
i wish the abstract explained what types of anti-trans laws were passed, cause of course different laws end up having different effects. that could explain the uncertainty in the results range. in this case we’re concerned with how a lack of gender affirming care would directly influence systematic suicide rates, so I’m still looking out for more evidence on that topic.






thanks for the graphics, I wasn’t accessing the study. i’m familiar with confidence intervals and p values but this is great for anyone who isn’t.
the first year’s plot looks within range, but the 72% point is a major change! something definitely happened with 13-24 year olds that year, but especially 13-17 year olds.
I see a definite occurrence that the suicide rates increased after those laws. and i’m wondering how we can be sure that it was because of the laws and not something else that happened around the same time?
i think that a reliable study reasonably isolates out other possible factors.