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@elsaxmerida
How convenient it is to attach small, useful objects to your clothes at waist level
So I have a point to make, but I think it is going to take a bit of a journey to get there. Lets start with a quote from Whipping Girl (Julia Serano).
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.
You have to be critical of your sources. Especially sources that speak to you on an emotional level.
Do you know where someone could find the best current data about violence against trans people? Because every time I try to look, I find data that says trans women are significantly more at risk of violence than trans men.
I am not trying to kick the hornets nest here, but if you’re telling people to question their sources and then making a big claim without any links to data… people are going to question where you got that.
So let's start with a critically flawed, if well meaning, source, to demonstrate why you have to be careful and the type of misinformation that is extremely easy to happen. The human rights campaign is one of the first sources people are going to come up against here. They also horribly mangle the data in ways that are, frankly, shocking. I'm pretty sure that they didn't have anyone qualified to do statistical analysis look over their claims. Maybe not even anyone with basic training.
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.
This is a skill people really need to develop, but its not something I know how to teach. I personally think the queer community on tumblr is very over reliant on being spoon fed sources, and on top of that is really terrible at evaluating sources. I think it is genuinely quite likely that most trans people go straight to the HRC page, see their big bold graphics proclaiming that 83% of trans homicide victims are trans women, and don't even consider that it could be bad information.
So the thing is boobs really do be jiggling. If having breasts has taught me anything it is that the ladies frolic. I don't even have that large of boobs but every time I go down some stairs all I can think about is that stupid quote about boobing breastily down the stairs or whatever it is because God Damn.
But anime and video game boob jiggling is like. The most uncanny valley shit I've ever seen nine times out of ten. You would think people this horny about tits would have actually looked at some but I guess not.
What we really need is some pervert to compile the ultimate visual guide to boob bouncing physics that's just like 500 hours of meticulously organized videos of breasts of different size and shape and under different fabrics bouncing around from a wide variety of physical movements so horny game devs can finally get it right and I don't have to be creeped out by women who appear to have surgically implanted softballs in their chest under skin made of rubber bands.
Some terf just reblogged this with (paraphrasing) "of course you are trans" in an obviously derogatory way on this post and I blocked them without thinking, but now I am fascinated by the implications. Is this person saying only evil trans women would care about shitty boob physics? Do rad fems now think it is misogynistic to criticize bad bouncing anime titty animations?
I kinda wish I would have asked for clarification before blocking them.
The crossover between TERF and hates lesbian sexuality is bigger than the crossover between TERF and lesbian.
(x)
art books on the internet archive for you
morpho books
figure drawing for all it's worth (+ creative illustration)
framed ink
will eisner comics and sequential art
will eisner graphic storytelling and visual narrative
understanding comics (+ making comics)
folder of various animation production art
burne hogarth drawing dynamic hands
perspective for comic book artists
michael mattesi force drawing
the animator's survival kit
color and light james gurney
be free
This has been my main argument against "AI" from the very beginning.
OpenAI scraped the entire web. All of which had been a labor of love from humans. Wikipedia is the backbone of a lot of LLMs, and that was volunteer human labor. They stole it and now they're selling it back to us.
And worse, they're trying to destroy the free sources that they stole from. It's destruction of human knowledge on an unprecedented scale. The burning of the library of Alexandria has nothing on this.
My first contrapuntal poem and my first Dragon Age fanwork. So, very new turf for me, quite exciting!
Inspired by the scene in the DA2 quest Dissent in which Anders/Justice (almost) murder Ella. AO3 link here.
the thing is that for all its supposed faults, i would take this brand of 90s utopian globalism over whatever the fuck we’ve been doing for the last 10 years in a heartbeat
I think they should have been in Inquisition and also married
I made a Room Building tutorial! Lemme know if it helps! 🧡
Tip me here| Commission info here!
most underrated meme format in the world are the spiderman trilogy overly long responses one. It makes me lose my mind every single time.
I'd probably find more in my phone if i tried but this is the most iconic one and probably the patient 0
For anyone wondering, the PhD student's name is Myra Cheng.
Here's a link to an article about the study from the Stanford Report: link.
Across three preregistered studies, participants interacting with sycophantic AI became more convinced of their own rightness and less willing to repair relationships. Yet at the same time, participants rated sycophantic AI models as higher quality, more trustworthy, and more desirable for future use, which may explain why this behavior has persisted despite its harmful impacts.
Myra Cheng et al. "Sycophantic AI decreases prosocial intentions and promotes dependence." Science 391, eaec8352 (2026).
i do think lobbying for data centres over climate goals should be considered a crime against humanity btw
huge fan of the depth of a good purple but another area that draws me is definitely around aquamarine/turquoise/seafoam. you can not go wrong once the green starts getting just a tinge more blue. a gal could certainly do worse than to pull over there and stay a while
something earth shattering going on here
this is why one of my favorite all-time paintings is Ship in Stormy Seas by Ivan Aivazovsky... he was really onto something there
a close up to just... light shining through those waves, makes me feel faint with exhilaration every time
THERE IS A BOAT BY IVAN AIVAZOVSKY!!
Ivan Aivazovsky could paint glowing water. One of the GOATs for sure.
Best friends who yearn for adventure!
[Image Description: A Digital drawing of Belle and Jasmine. Belle is wearing a yellow dress, and straw hat, and Jasmine i wearing a purple, two piece shirt and skirt outfit. They are walking through town, holding hand and talking. End ID]
chains that bind
the binding au