A Monster Who Loves Creatures

When the majority of violence and sexual assaults committed against trans people is directed at trans women, that is not transphobia—it is trans-misogyny.

I think it is important to understand that for many trans women, Whipping Girl is formative. It is hard to overstate how important of a work it is to how trans femme people as a whole understand and view the world. With that in mind.

That quote is predicated on a false assumption. The best current data is that violence is directed across trans gender identities fairly equally. That is, trans men and non binary people suffer about as much violence as trans women. However, up until recently almost all studies of violence against trans people have been focused on trans women. Trans men and nonbinary people have been critically under represented and violence against them critically unreported. And yet many trans women continue to assume that trans women are the most targeted gender identity, largely because of an over reliance on a twenty year old manifesto that made a very strong claim based on bad data (which was the best data available at the time).

This is not a Julia Serano hit piece. I think Whipping Girl is fine. But I also think that Whipping Girl is not perfect. There are ideas and statements I personally disagree with. There are ideas and statements in there that are objectively wrong, like the above quote. And there is a least one statement I simply find indefensible.

While trans people on the female-to-male (FTM) spectrum face discrimination for breaking gender norms (i.e., oppositional sexism), their expressions of maleness or masculinity themselves are not targeted for ridicule—to do so would require one to question masculinity itself.

This statement does not line up with what I have observed. I have observed trans men's masculinity being ridiculed, though not in the same way as trans women's femininity is ridiculed. She is wrong. I think this is an ignorant statement made by a trans woman motivated to overlook discrimination because she was pushing a particular narrative and therefore failed to recognize discrimination as it is experienced by another group, assuming that because it is not like the discrimination she experiences it does not exist. I believe this statement is indefensible. It was ignorant then, it is ignorant now.

Again, this is not a hit piece. I don't think she is a bad person, I don't think we need to throw out all of Whipping Girl. Lots of people make mistakes like this, it is an occupational hazard of making these kind of strong theories and statements.

But how many trans women take this statement as gospel and build their understanding of trans masculinity around Julia Serano's dismissive, factually incorrect, and at times even ignorant statements?

And this is Julia Serano's Whipping Girl. One of the most respected trans feminine texts there is. If we should be able to trust any text, it is Whipping Girl.

And that's the point. It is dangerous to view these sorts of texts as objective sources of information. And it's not just trans women and whipping girl, I am just most familiar with texts relating to trans women because I am one.

The queer community has a problem where we view authority figures in the movement as sources of objectively correct information. And when you do this eventually some authority figure you respect is going to say something that's ignorant and wrong and you will adopt that incorrect idea.

So the hrc bases a lot of their claims on identified homicide numbers. Which, of course, introduces massive selective bias. Using a pool of 372 identified trans victims of homicide, the hrc claims that 83% of trans victims of homicide were women.

The problem being that identified victims are not the same as all victims. Especially when you are comparing a known highly visible demographic to demographics known for low visibility.

The discrepancy in those claims is subtle to those who are not trained in data analysis, but it is such a basic and major error as to call into question the ability of the HRC to do effective data analysis at all. It's classic survivorship bias, I'm sure you've seen the story of the WW2 planes with bullet holes, it's that sort of thing.

And it is true that all sources agree that trans women (especially black trans women) are far more often identified. We have more names of murdered trans women than other demographics. You might be forgiven thinking this means trans women suffer the most violence.

But competent data analysis paints a different picture.

Lets look at "Global Burden of Violence Against Transgender and Gender-Diverse Adults: A Systematic Review and Meta-Analysis".

The first thing you will notice is that this source spends a huge amount of time going into exact methodology, what data was used, the source, what data was not used and why, and how and why it was analyzed in the way it was. This is what competent data analysis looks like. Lets pull some critical quotes from the source:

"Disproportionate violence burdens are experienced by transgender and gender-diverse people who are multiply marginalized.13 For example, transphobia, racism, and classism intersect to compound violence exposure for transgender women of color.14,15 According to the Trans Murder Monitoring project, 94% of the 321 identified transgender and gender-diverse people who were murdered in 2023 were transgender women or transgender feminine people, and the majority were Black, women of color, and engaged in sex work.16 Such disparities suggest the importance of considering intersecting identities in violence research and intervention strategies.13"

You will notice they acknowledge the data on identified victims is almost entirely trans women. What they do not do is suggest that this means trans women are the primary victims of anti trans violence, instead drawing the conclusion that intersecting identities are a key factor. This is important because of the results of the actual data of properly conducted data gathering. Here is their conclusion about violence across trans gender identities: "Our meta-analyses did not show significantly different levels of violence globally among transgender women, transgender men, and nonbinary adults."

"While we would have included homicide, we identified no studies that reported its prevalence." The first part is pretty plain. There is not a statistically significant difference in violence levels between trans identities, according to the data that was collected in a scientific manner.

However, homicide data has been completely neglected to be collected in a scientific manner (likely due to the difficulty of doing so). Instead reports are anecdotal - that is, we identify trans homicide victims after the fact, which means it is entirely based on demographic visibility. The source does suggest that it seems likely that black trans women in particular are disproportional victims of homicide, but no real conclusion can be drawn without further studies.

Given that general violence against trans people seems fairly flat across identity, and that intersectional factors seem to play a critical part in violence against trans people, I would suggest that anecdotally gathered evidence is the source of the discrepancy. Between a demographic known for hyper visibility (trans women), and demographics known for being practically invisible (other trans identities), it draws a very obvious picture of why the anecdotal evidence looks the way it does.

As a side note and purely my own opinion, I think there is a tendency for white trans women to claim the violence experienced by trans women of color, especially black trans women, and report it as general violence against trans women. But the data suggests that race (and class, which are often intertwined) play such a massive role in violence against trans women that I feel it is honestly kind of racist how the trans women community so often glosses over it, if it is even discussed at all. The simple fact is that a white trans woman like myself is much, much less likely to experience violence than a black trans woman, and that is a key part of the discussion.

Getting back to data, there is one more important piece I want to highlight. Specifically, how data has been gathered, and on who.

"Of the 94 studies, nearly all (90 studies [96%]) included transgender women, whereas 49% (46 studies) included transgender men, and 37% (35 studies) included nonbinary adults"

This is a massive discrepancy in visibility. It seems almost laughable that a study would include trans women specifically but not bother with trans men, a staggering display of systematic bias against trans men, and yet it appears that half of available studies that passed the minimum bar of quality to be included in the meta analysis did just that. And nonbinary people have it even worse. It is no wonder that violence against trans demographics other than trans women is less well understood and under reported in anecdotal analysis. Even the people actively looking for violence against trans people are heavily biasing their studies towards discovering violence against trans women.

I could go on for a long, long time breaking down this one meta analysis, but I think you get the point, and in particular how important proper data analysis is. The simple fact of the matter is many "reputable" sources are clearly not conducting proper data analysis when breaking down anti trans violence by demographic and making wildly incorrect claims because of it.

I have one more source I will be brief with. "Gender Identity Disparities in Criminal Victimization: National Crime Victimization Survey, 2017–2018". The critical quote for our purpose:

"Transgender women and men had higher rates of violent victimization (86.1 and 107.5 per 1000 persons, respectively) than did cisgender women (23.7 per 1000 persons; OR = 3.88; 90% CI = 0, 8.55) and cisgender men (19.8 per 1000 persons; OR = 5.98, 90% CI = 2.09, 9.87), but there were no differences between transgender men and women (Δ = 21.4; SE = 68.7; P = .76)."

You will note that the raw data shows higher violence against trans men, but with proper data analysis it is revealed to not be statistically significant. This is something you have to be careful of, there are tools experts use for data analysis that reveal that obvious conclusions from raw numbers are not always correct.

There are more sources out there, but I am not going to bother tracking them down. It was not hard to find these sources, these two major sources I found through simple internet searches on the first page (duck duck go, in my case). I don't know why you had problems, for me it was as simple as searching for something like "trans violence by gender identity" and looking for actual studies that talk about methodology.

I am a raccoon biologist and one of the few people in the state allowed to take in captive bred raccoons that had been possessed illegally. The raccoon in the photos is Moonshine, but she is currently at the animal sanctuary where I work as I had been quarantining multiple new intakes from an abuse case. I still have two males (Rum Tum Tugger and Electra) left in my home enclosure as we are getting them neutered and then hopefully sending them to an AZA accredited zoo.

After sifting through hundreds of photos... I have realized that every time Simon takes a photo in the SM-13, he's pulling up a frame to a stop motion animation.

And it can be played back as video.

So, I took each black box photo and compiled them together. You can now watch Simon's entire journey from the SM-13's camera like found footage.

You can also gain access to Simon's amazing photography portfolio from my master reference project, as well as the video for yourself.

Please, have a watch. It's terrifying. I feel like a C.O.I. lab tech delving into something I really shouldn't, and it's a blast!

Got a little Compy available for $220~

This Sino is still around as well.

Hang On Tight

11x17 inches. acrylic, graphite, colored pencil, and oil pastel on paper.