Here's another more detailed take-down. I particularly liked this part.
Turban and colleagues used publicly available survey data (self-reported from anonymous high school students in 16 states) which was gathered as part of a CDC biennial survey on risk behavior among high schoolers.
So, Turban didn’t conduct his own “research” or “design a study” per se. He took some publicly available data, which asked a few questions that were of interest to him. He told readers what the answers to those questions were, and then… he made some huge leaps.
The author of the study didn't ask any questions of anyone. He simply tapped into an anonymous survey. He then cherry-picked the data shamelessly, in particular by choosing to compare two sets of data only two years apart and extrapolate short-term trends in that time as if they were certain to reflect long-term trends.
The claim that has received the widest attention is that there are not more natal-born girls identifying as transgender than natal-born boys. This is self-evident nonsense, as can be shown multiple times by referring to the published data from gender clinics showing an increase in presentations from both sexes, but in particular an enormous increase in girls - as much as 400x in some countries.
So how did he do this? He simply took the anonymous respondents' word for it as to whether they were male or female, and assumed that they had answered with their biological sex.
Yes, really. He decided that girls who identify as boys wouldn't tick the "male" box on the survey form (or that boys who identify as girls wouldn't tick the "female" box). Some might, but you can bet your bottom dollar many wouldn't, and we have no way to know how the split went in the anonymous survey he was using.
Here's another takedown published today, with a particularly interesting observation.
Another indication comes from the distribution of height, given that natal females are shorter on average than natal males. Predicting height separately for each sex, OLS regression (adjusting for age and race) reveals that transgender respondents who identified as male were on average 2.5cm shorter than non-transgender male respondents (95% CI: 1.3...3.8cm, total n= 87,568). (There was no discernible height difference between transgender respondents who identified as female and non-transgender female respondents.)This height difference is evidence that some of the transgender respondents who identified themselves as male were natal females.
If the original author was correct in his assumption that the young people answering the anonymous survey always reported their biological sex, then this is a very remarkable population in which the average male height is an inch
shorter than the average female height.
How do these things get past peer review in the first place?