Extended 4tran Survey (2025.2)
Page 5 - Sexuality
Sexuality
Label
Current Attraction
Since sexuality labels can be confusing and imprecise, I added a section to rate from 0 to 10 your attraction towards men and/or women.
It's interesting how straight men are more likely to put values around 0 and 10, while with women its a bit more spread out. Women are less straight than men...many such cases...
With bisexuality, men are perfectly even between being into men and women, while with women, they're a but more into women than men.
With gays/lesbians its pretty even between the men and the women they're in to (obviously flipped).
With asexuals, its interesting how both genders (especially the women) are a bit more into women than they are into men.
Pretransition Attraction
Interestingly, the distributions for pretransition attraction are pretty similar to current attraction.
You would expect bi people to be into the "expected" gender they are supposed to be into pretransition, but that only seems to apply to the women (raised male and therefore expected to be into women). The bi men on the other hand were also more into women than men pretransition (raised female and therefore expected to be into men). Not sure why thats the case since I'm a straight woman but maybe someone could explain it a bit better.
Attraction Change
Change boxplots are pretty interesting to me, we take the difference between current attraction and pretransition attraction of each respondent and then make a boxplot out of those differences.
Straights had inverses of each other (as expected). Bi people is a bit different though, men generally increased their attraction equally towards men and women. Women, on the other hand, increased their attraction more towards men but actually lost some attraction towards women. Gays/lesbians are also interesting as its a general inverse of each other (like with straights), but men gained significantly more attraction towards other men than women did towards other women.
Asexual people didnt really change much and are mostly full of outliers, not sure why. Maybe small sample size? idk.