Gay Men’s Hands Tell Us About Their Erotic Role
Thirteen years ago, I wrote an essay on how scientists had been frustrated using the 2D:4D digit ratio to demonstrate that gays and transsexuals had anomalous pre-natal exposure to androgens. They had gotten very confusing, contradictory results. I’ve been following the research hoping that some headway would be made. Well, maybe we have.
First was the confusion of not segregating and analyzing transsexual subjects data based on etiology / sexual orientation. We may now have found a similar issue with looking at gay men. There is strong evidence that there is an etiological difference between subsets of androphilic males that has correlates with preferred erotic role, specifically, preferring receptive anal sex vs. everything else.
There have also had some scientists questioning whether the 2D:4D is really about androgen exposure at all. Some data suggests that the differences within, but not across the sexes, may be due to other factors such as stress induced cortisol exposure, etc. But for our purposes, that does not matter. What matters is that when we see data that differentiates between populations and correlates with other markers for those populations, we have something interesting to note and explore. Such is the case with the Swift-Gallant paper on 2D:4D difference between tops and bottoms.
“A growing body of work indicates that anal sex role (ASR) preferences may serve as a proxy for subgroups of gay men who differ in development and gender conformity. Thus, in the present study we asked whether gay men with different ASR preferences may differ in 2D:4D. We hypothesized that gay men with a Bottom ASR (receptive), who tend to be more gender nonconforming (GNC), would have a higher (more female-typical) average digit ratio than ASR Tops (insertive), who tend to be more gender conforming. We predicted that gay men with a Versatile ASR preference (i.e., preference for insertive and receptive) would be intermediate between these two groups in both GNC and 2D:4D.”
The data they gathered is remarkable. The statistical difference between the tops and bottoms was d=0.63 for their right hands. Compare this to the difference between control men and women (from another study) at d=0.76. Thus the difference is nearly as large as that between men and women. This is a dramatic result!
They found that versatiles, those that both top and bottom were intermediate between the two. There are two hypotheses that would explain this. One is that this is a dimensional trait that smoothly varies between tops and bottoms. The other is that this is in fact, taxonic, and those that self-labeled as “versatile” were in fact an admixture of the taxonomically distinct tops and bottoms. The data presented does not allow us to determine this.
I’m predicting that the later hypothesis is correct, based on the fact that earlier work supported that, especially since the obligate bottoms appear to be the only subset of androphilic males who exhibit the Fraternal Birth Order Effect.
Further Reading:
2010 Essay on 2D:4D frustrations
Essay on Etiological Differences between Tops & Bottoms
Essay on Socio-Economic Status effecting 2D:4D differences
Essay on 2D:4D study that supports transsexual taxonomy.
References:
Swift-Gallant, A., Di Rita, V., Major, C.A. et al. Differences in digit ratios between gay men who prefer receptive versus insertive sex roles indicate a role for prenatal androgen. Sci Rep 11, 8102 (2021). https://doi.org/10.1038/s41598-021-87338-0
2D:4D Evidence Supports Transexual Taxonomy
A new paper provided both new direct evidence and a meta-analysis of measurements of 2D:4D finger ratios in transsexuals, both FtM and MTF. Such measurements are interesting because it is known to be influenced by testosterone levels in utero and thus an indirect measure of testosterone exposure that might influence brain sexual dimorphism.
What is doubly exciting about this paper is that the authors fully comprehend the overwhelming evidence for the two type taxonomy and of the (mild) scientific controversy regarding sexual orientation vs. age of onset as the best clinical markers for the two taxons. The study is open access so I highly recommend following the link to it and reading it for yourself. The study is also interesting because of where it was conducted; Iran.
Iran is a Muslim country which while being extremely homophobic, both culturally and legally, treats transsexuals fairly well, at least legally and medically. Make no mistake, culturally, it is far from truly accepting. Further, Iran is considered a “Collectivist Society” according to the Hofstede Individualism vs. Collectivism Index. Lawrence has shown that this index highly correlates with the percentage of non-androphilic (and thus likely autogynephilic / late onset) transwomen transitioning in a given culture. Thus, we would expect that there were fewer such transwomen in the study and the reported data bear this out.
Let’s look at the new data they provide:
Table 1
Means (and SD) for 2D:4D in the left and right hand for transmen, transwomen, control women, and control men
Transmen |
Control women |
Transwomen |
Control men |
|
---|---|---|---|---|
Left 2D:4D |
0.991 (0.034) |
0.991 (0.032) |
0.981 (0.033) |
0.974 (0.029) |
n = 104 |
n = 53 |
n = 88 |
n = 56 |
|
Right 2D:4D |
0.981 (0.030) |
0.983 (0.033) |
0.972 (0.029) |
0.959 (0.033) |
n = 104 |
n = 53 |
n = 89 |
n = 56 |
Table 2
Means (and SD) for 2D:4D in transsexuals’ left and right hand as a function of early or late onset of gender dysphoria
Transwomen |
Transmen |
|||
---|---|---|---|---|
Early onset |
Late onset |
Early onset |
Late onset |
|
Left 2D:4D |
0.982 (0.034) |
0.975 (0.022) |
0.988 (0.033) |
1.009 (0.031) |
n = 80 |
n = 8 |
n = 92 |
n = 12 |
|
Right 2D:4D |
0.973 (0.029) |
0.963 (0.026) |
0.977 (0.028) |
1.007 (0.027) |
n = 81 |
n = 8 |
n = 92 |
n = 12 |
Before the analysis of transfolk, it would be a good idea to scale the effect by looking at the effect size between the controls. The difference between control women and men is d= 0.56 for the left hand and d= 0.76 for the right. This is only a moderate effect size.
Although the number of late onset is small, and thus must be viewed with caution, the analysis is still very interesting and would seem to confirm (agree) with the two type hypothesis. Consider that the two MTF types have a small but distinct difference of d= 0.24 for the left hand and d= 0.22 for the right. When we compare early onset type to the male controls we get d= 0.25 and d= 0.45 for the right. When we compare early onset to female controls we get d= -0.27 for the left and d= -0.32 on the right. This shows that early onset transwomen are roughly halfway between the controls, and if anything a bit closer to the female controls.
But even more intriguing, and the reason for trusting this interpretation is that when we compare the late onset population to the male controls we see that it exactly agrees with the hypothesis that the late onset type is essentially like the majority heterosexual male population and not at all feminized, with effect sizes that are, statistically speaking, non-existent at d= 0.04 and d= 0.12 for the left and right hands respectively.
This shows that early onset MTF type has notably hypomasculine (feminized) hands while the late onset MTF type does not, and thus in agreement with other data that supports the two type MTF taxonomy.
But what about the FtM transmen? Here we see an even more intriguing set of data.
The two FtM types have a moderate to substantial, very notable, difference of d= -0.66 for the left hand and d = -1.07 for the right, indicating that early onset transmen are far more masculine than late onset. When we compare the early onset FtM to female controls we find effect sizes of d= -0.09 for the left hand and d= -0.20 for the right indicating a non-existent to small masculinization signal.
However when we compare the late onset FtM to female controls we see a very different pattern with effect sizes of d= 0.57 for the left and d= 0.80 for the right. The positive sign indicates that late onset transmen have a more feminine 2D:4D ratio than control women (!!). And the effect size difference between early and late onset transmen is far greater than the difference between control men and women (!!!).
This, if replicated, is very big news. It would support the notion that transmen also exhibit two taxons as has long been suspected, one that is masculinized in both behavior, sexual orientation, and very mildly in appearance, the other that is very feminine, androphilic, and autoandrophilic, the mirror image of late onset transwomen.
Further Reading:
Essay on Cultural Difference in Percentage of HSTS vs. AGP Transwomen
Reference:
Sadr, M., Khorashad, B.S., Talaei, A. et al. “2D:4D Suggests a Role of Prenatal Testosterone in Gender Dysphoria” Archives of Sexual Behavior (2020)
https://doi.org/10.1007/s10508-020-01630-0
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