https://nitter.click/SwipeWright/status/2102498903568658907
The Boston Globe has just published a shockingly sober article about the nonexistent genocide supposedly targeting the transgender community.
In it, they cite a report I coauthored showing that the murder rate is actually lower for trans-identifying people than the general population. Our report was responding to the HRC’s annual reports pushing the narrative that there is an ongoing “Epidemic of Violence” against the transgender community.
The reporter says he “offered the Human Rights Campaign’s key researcher, the transgender woman Charleigh Flohr, or anyone else with the organization an opportunity to rebut the Manhattan Institute finding, but they didn’t reply to me.”
That’s unsurprising because the HRC is engaging in fundraising propaganda. They don’t care about the truth, only promoting the narrative.
Our report presenting the actual data is irrefutable. That’s why they have nothing to say in response.
You can read our report summary in @CityJournal here:
🔗 https://www.city-journal.org/article/human-rights-campaign-transgender-murders-white-supremacy
Or explore our comprehensive report here:
🔗 https://dont-shoot-the-data.github.io/TCLEAR/
Read the Boston Globe article here:
genocide is a state-sanctioned elimination of an identity moreso than a murder count
Genocide isn’t only accomplished through murder.
AI analysis
Verdict: Mostly misleading. The tweet contains a real but narrowly framed statistical result, then overstates what that result proves and presents disputed interpretations as settled fact.
Claim-by-claim
-
“The Boston Globe published” the piece and cited the report: True. The linked item appears to be a guest opinion piece by David Mastio, not a reported news investigation. It cited the Manhattan Institute researchers’ data and reported that HRC had not responded at the time. The Globe itself said the piece represented the guest author’s views.
-
“The genocide supposedly targeting the transgender community is nonexistent”: Misleading. The post conflates several different claims. HRC and similar organizations generally describe an “epidemic of violence” or heightened vulnerability; that is not the same as alleging a legally defined genocide. The legal and academic use of “trans genocide” is contested, while documented violence, discrimination, and policy disputes are separate questions.
-
“The murder rate is lower for trans-identifying people than for the general population”: Partly supported, but overstated. A 2017 peer-reviewed study estimated that the overall homicide rate for transgender people was probably lower than for cisgender people, while also finding that young Black and Latina transfeminine people likely had higher homicide rates than comparable cisgender women.
The Manhattan Institute figure—about 3.66 versus 25.8 homicides per 100,000—is not a direct official measurement. It is calculated from a limited victim list, an estimated transgender-population denominator, and the assumption that no transgender homicides were missed. Researchers have specifically warned that death certificates, police records, and national homicide systems generally do not reliably identify transgender status, creating a substantial undercount problem.
-
“Therefore the epidemic narrative has no basis in reality”: Unsupported. A lower overall homicide rate does not disprove elevated risk in particular subgroups or forms of violence. The available research reports substantially higher rates of nonfatal violent victimization among transgender people—86.2 per 1,000 compared with 21.7 per 1,000 for cisgender people in the cited 2017–18 survey. Other tracking projects also document dozens of transgender and gender-expansive homicides annually, while acknowledging that the data are incomplete.
-
“Most killings are not hate crimes and intimate-partner violence is the leading identified circumstance”: Plausible within the report’s coding, but not definitive. The report examined 304 cases from 2015–24 and classified only 3.3% as confirmed hate crimes, with intimate-partner violence the leading identified circumstance. That is a useful finding about the cases the authors could verify. But “not confirmed as a hate crime” is not equivalent to “not motivated partly by anti-trans bias,” especially when official systems often fail to record gender identity and motive.
-
“The racial composition of suspects disproves white supremacy as a cause”: False or seriously misleading. The report says 65.1% of identified suspects were Black and 18% were white. That may challenge a simple claim that most killings are committed by white supremacists, but suspect race alone cannot establish motive, rule out anti-trans bias, or measure the role of structural racism. It also excludes unsolved cases and cases without known suspect information.
-
“The report is irrefutable”: False. It is a retrospective analysis built from advocacy-group lists and publicly available case records, not a complete national homicide registry. Its conclusions depend on victim identification, case inclusion, population estimates, classifications of motive, and assumptions about undercounting. The underlying question is difficult precisely because national crime and death databases generally do not consistently record transgender identity.
-
“HRC’s failure to respond shows it has nothing to say”: Unsupported argument from silence. The Globe reportedly offered HRC an opportunity to respond, and the organization did not reply before publication. That does not demonstrate that the report is correct or that HRC has no substantive rebuttal. The tweet turns non-response into evidence, which is not logically justified.
Bottom line: The strongest defensible version is: A retrospective analysis of HRC-listed cases, using one set of population estimates, produces a lower estimated overall transgender homicide rate than the general population and finds that many verified killings were not officially classified as hate crimes. The tweet goes much further—declaring the data “irrefutable,” dismissing all “epidemic” claims, and treating suspect race and HRC’s non-response as proof. Those broader conclusions are not established by the evidence.
AI analysis
If you can’t be bothered to think and write for yourself, you’re an idiot for thinking anyone would give a shit about anything that you pasted below that line.
at least you’re honest about your idiocy though
Why do you have such strong opinions on this?
it negatively impacts my life and the lives of countless others
How so? This particular instance causes that harm, or the concept in general?
general more, this to a lesser extent
are people really going to a community called critical analysis to be told what to think by a robot? get lost and short circuit
they appear to slop all over themselves a lot… I’m preemptly blocking their account. thx
Why do you think it’s bad?
Why do you think it’s good?
I haven’t asserted it’s good. The other poster has a strong opinion that it’s bad, I’m wondering why.
Burden shift. Defend your sloppage or piss off.
That’s not how the burden shift argument works. Making demands to defend oneself creates the burden.
Anyways, why not? You seem to think there’s a reason not to.
Aight, fair point, but if you can’t understand the irony of posting Ai slop on “critical analysis” I genuinely can’t help you. Surely you know that LLMs don’t actually analyze anything, right? It’s a glorified predictive text keyboard.
Because AI lacks the ability to think critically, and thus cannot analyze anything. The text above is the result of hundreds of weighted dice rolls, if you so will.
AI takes your prompt, then asks “What is the most likely continuation to this text?”, then generates one word, then takes your prompt plus the word it generated, and asks the same question. Until it eventually generates a “finishing token” that tells it to stop generating. It’s similar to what the middle button of autocorrect does, except with a lot more context and training.
This is not critical thinking, this is the generation of a piece of text that is statistically very likely to be a response to the prompt.
NOTE: “statistically very likely to be a response” is not the same as “a correct response”. It might be correct, it might be completely wrong. The only thing that’s for sure is that it is a text that probably responds to the prompt
Can humans actually think critically? Or are we just pattern matching, using trillions of dice rolls as our neurons zap each other?
If a model could predict a human’s output throughout their entire life, how could it not be considered at least as smart as the human?
you are equating the complexity of the neurons in a human brain to the complexity of neurons in an LLM, even though both are at vastly different orders of magnitude. Furthermore, the mechanisms by which the brain creates its results are different. LLMs and the human brain cannot be equated in that way. It’s like saying humans can’t think more critically or complexly than a slug (no offense)
-


