I’ve done the fetish/taboo chart a few times before, but I think this might be the happy medium. Last time I put in ~300 fetishes, and they were absolute percentage interest (like, a binary thing - were people into it at least a little bit or not at all?), presented on a log scale. This got a bit complicated, so I decided to make a simpler version.
For this one, I did factor analysis on my original Big Kink Survey to find out the most predictive items to include. This might look a bit weird - for example I have "brother/sister” and “mother/daughter” incest on this graph, but not “father/son” - this is because the former two made it onto more of a factor analisussy spectrum than the latter.
After picking the most predictive items from factor analysis, I then eyeballed it personally and selected a few more that I thought should also be included (like financial domination, for example). And iirc Tailcalled was like “you seem to be weak in items around romance/gentle/sweet stuff”, so I made sure to add in a few more of those.
Though absolutely not perfect, I think this collection of fetishes might be the best-collected list of fetishes that I’m aware exists. Of course you can get a vast list - I have one of 800 or so - but if you wanna narrow it down into a chunk of ~120, which I have here, this is a really good landscape of ‘core fetishes’ from which most other fetish subcategories are associated with, distributed roughly evenly across gender, popularity, and tabooness.
This chart shows average reported interest - so I asked people to rate how erotic they found things on a 0 (not at all) to 5 (extremely) spectrum, and simply took the average score. Same with taboo ratings.
I collected fewer taboo ratings (~1300) to interest ratings (~30,000), because with the taboo survey I was asking people to rate how taboo does your culture view this interest, and I figure we all share culture quite a bit more than we share kinks, and answers converged pretty fast. With kinks, you need a higher sample to really get a good sense of the less prevalent fetishes, so I went harder on that.
I got kink-survey participants partially from posting the survey on social media, but also by linking it in my Big Kink Survey. The Big Kink Survey has a life of its own now, great SEO, it’s linked in a lot of places, still getting a lot of traffic, which means the audience that comes from there is way more normal-internet distributed than people who follow me. I now occasionally link other surveys I’m trying to get participants for, from the Big Kink Survey, to capture some of that more organic audience.
Though in general, I would consider my data in this particular set to be more trustworthy when it comes to comparisons between fetishes as opposed to absolute prevalence of fetishes.
Participants were around 60% male, 40% female, which is much better than my normal personal audience of around 15% female.
In general, I find a kink gap between men and women regardless of survey source; buying test takers from Positly, or from the tiktok influx in my Big Kink Survey, or my own audience. My own audience seems to have a larger gap between men and women, but generally just accentuates a gap that already exists.
I didn’t do any reweighting for anything besides biological sex, which I weighted equally for both taboo and interest scales. This sample skews pretty white and western and young (though in my data last I remember, it seems age and ethnicity doesn’t impact fetishes very much anyway, though location does).
I did do a lot of data scrubbing too, where I deleted some inconsistent response sets, people who answered too many questions too fast, overall averages too outside the norm, etc.
I added some items late (like necrophilia and feedism), so they got a much lower sample size, but I checked confidence intervals and they were small enough that it didn’t seem to matter.
Overall, in this collection of fetishes, the correlation between tabooness and popularity is r=-0.75.
Raw data will be available on my website soon!
You can find the actual surveys I used here - taboo, and kink
One thing that might be worth breaking out is sex differences vs sexual orientation differences. For instance, feet are a male-skewed interest, but at least in my data when I broke it out by sexual orientation, straight men and lesbian women scored higher than gay men and straight women respectively. So feet might be a gynephilic interest, more than a male interest per se.
This is incredible. Some of your best work. There's so many themes and groupings that can be seen here, and very easily too. Nice job!
PS it would be great to have an interactive version of this where one can filter the results based on various criteria! Maybe v4.0? 👉🏻👈🏻