The Information Hypothesis of Dysphoria

One idea I’ve been playing with is the notion that the amount of dysphoria a person has depends on their understanding of gender and sex. I’m mostly considering this in the case of A*P trans people, and I don’t know how well it applies to HSTSs. According to this idea, once an A*P person learns something about sexual dimorphism, they will start feeling dysphoric about it.

It applies remarkably well to my own experiences. I’ve frequently experienced huge jumps in my knowledge about these kinds of things, which has also lead to similar jumps in my dysphoria on exactly what I’ve learned more about.

It also helps to explain lots of other observations. For example, dysphoria seems to irreversibly increase over time. This makes sense if people understand sex and gender better as their life goes on, and the irreversibility of the process makes sense since it is hard to unlearn information. Many also seem to report an increase in dysphoria as when they encounter trans issues; either through a trans partner, or through trans friends, or in some other way. Again, this makes a lot of sense under the information hypothesis.

An interesting prediction of this is that A*P cis people who have had heterosexual relationships will have a better understanding of sex and gender, and should therefore experience more dysphoria. This contradicts the predictions of the competition theory, which states that people with more intense A*P (and who’re therefore more dysphoric) will be less interested in relationships. My initial measurements seem to confirm my prediction over the competition hypothesis, but there’s more work to be done here.

It would be interesting to map out some more predictions and find ways of measuring it. An obvious next step would be to measure A*P people’s understanding of sexual dimorphism and see if it correlates with dysphoria. (Obviously, correlation is not causation, but if the correlation isn’t there, it’s unlikely that we also have the causal relationship.) I have some trouble figuring out how to make a good test of this, especially one that can fit in a survey.

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