Off-Topic "Scientific" Studies regarding Transpeople

You're looking for logical consistency in a group that is opposed to logical consistency.

"Dysphoria", "trauma", and "transphobia" just mean "I'm a victim, therefore I'm morally in the right".
Oh trust me I know there's no logic with trannies, but I'd like to hear their argument as to how pregnancy simultaneously has nothing to do with gender, but atst TIMs need womb transplants because giving birth to a baby would be so gender affirming to them. It just would be funny to see their cognitive dissonance arguments to that.
 
How does this tell us anything about the efficacy of 'gender-affirmation surgery' if we're comparing trannies to normal people and not pre-op trannies? All I'm able to get from this is that trannies rope more than normal people, unless the claim is that having an operation reduces suicide rates to baseline level.

If we're comparing Cohort A with Cohort C, why is tubal litigation or vasectonomy considered a decent enough proxy for transness to use? There are way more surgically sterilized people than there are trans.
They chose vasectomy or tubal ligation because: they're elective surgeries that remove fertility and they are usually given to patients in a similar age range (adults but not seniors, not children). It's a really clever way to demonstrate that the surgically-induced loss of fertility is not the cause of the suicide risk. If they hadn't done that specific comparison, Erin Reed and Alex Caraballo would have been bitching about it not being done.
 
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At this point all I can say is "lmao". My empathy for these people has been stretched to the breaking point.

Even their own brains, at the deepest level, know whats up.
As far as I know no Kiwi Farmer has offed themselves. This place is pretty healthy now that I think about it.

I'm starting to think this may be the only sane place left on the internet
 
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Pelvic Floor Dysfunction in Transgender Men on Gender-affirming Hormone Therapy: A Descriptive Cross-sectional Study​

Abstract | Full PDF withheld for copyright reasons, excerpts below.

Materials and Methods
To participate in the study, volunteers had to be transgender men, over 18 years old, and currently undergoing testosterone GAHT. Those with neurological disease, prior urogynecological surgery, active urinary tract infection, or who lacked internet access were not able to participate in the study.

Results
A total of 102 volunteers were evaluated for eligibility, out of which 68 were included... Among the participants, 25% were from São Paulo, followed by 14.7% from Minas Gerais and 13.2% from Pernambuco. ... The participants had a mean age of 28 years (standard deviation = 5.86). Their family income was on average 2.6 times the minimum wage, with a range of 0 to 18 times. Most of the participants were not students (70.6%), were single (69.1%), white (58.8%), religious (63.2%), and either employed or self-employed (76.5%). Their average BMI was 26.5 kg/m2, which classified them as overweight (25 to 29.9 kg/m2) [20]. The mean duration of hormone therapy was 2.57 years (standard deviation = 2.18 years), with the period ranging from 3 days to 11 years.

Pelvic Floor Dysfunction
The highest frequency of symptoms was associated with urinary function, reported by 86.7% of participants. Bowel symptoms were reported by 73.5% of participants, whereas sexual dysfunction symptoms were reported by 52.9%. Only 4 out of the 68 volunteers (5.88%) did not experience any of the evaluated symptoms.

Most participants reported symptoms related to bladder storage (69.1%), whereas 16 (23.5%) participants had symp- toms of UI, with MUI being the most common type (11.7%). Only 9 of the 16 volunteers completed both the ICIQ-UI SF and ISI questionnaires (Table 3), with results indicating a moderate impact of UI on quality of life. The mean score for the ICIQ-UI SF was 8.88 (3.6). In addition, all nine participants reported urine leakage when coughing or sneezing, characterizing SUI. In the ISI questionnaire, UI severity was classified as moderate, with a mean score of 4 (1.3).

Table 2 Symptoms of pelvic floor dysfunction in transgender men.
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Table 3 Results of the International Consultation on Incontinence Questionnaire - Urinary Incontinence Short Form (ICIQ-UI SF) and Incontinence Severity Index (ISI) questionnaires of transgender men who showed urinary incontinence symptoms.
table3.png
 
Interesting article regarding differences between male and female brains - Archive link

While not being expressly about trannies, they have a very notable find:
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As you can see, there wasn’t a continuum: the female fingerprints of brain activity were quite different from the male fingerprints of resting brain activity, with no overlap. These findings strongly suggest that what’s going on in a woman’s brain at rest is significantly different from what’s going on in a man’s brain at rest.
So this lays to rest the "intersex" bullshit. Men are men and women are women. I bet if they scanned tranny brains they would match their sex.
 
There's a reason a large number of trannies are into diapers. It becomes a big part of their life and they try to pretend like they're actually into it instead of being embarrassed by the side effects.
I can't be bothered finding my original post but I still have the screen shot.
"A transgirl with her diaper is like an angle without her wings"
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There's a reason a large number of trannies are into diapers. It becomes a big part of their life and they try to pretend like they're actually into it instead of being embarrassed by the side effects.
Because of course these people have to fetishize their medical ailments in order to properly take care of themselves.
 
Interesting article regarding differences between male and female brains - Archive link

While not being expressly about trannies, they have a very notable find:
View attachment 6027534

So this lays to rest the "intersex" bullshit. Men are men and women are women. I bet if they scanned tranny brains they would match their sex.
Every time I see a brain study even when it has nothing do with trans brains I ask myself how do people take genders like non binary, genderfluid, etc seriously? I have not seen even in pro trans brains studies proof of "non binary brains" existing or how exactly their brains work. Almost like its all BS, but imagine a TRA trying to explain how a genderfluid person's brain works? Do their brains magically go from male to female on certain days, and then turn non binary on other days? It would be funny to see how much nonsense a TRA would claim to prove it.
 
UK review on gender medicine 'largely ignored' in the US, finds journalist

lol, there's a fucking shock

The newly released Cass Review on transgender care for young people has been pivotal in the UK, where the prescription of puberty "blocking" drugs outside research protocols has now ceased.


But in the United States, where the treatment-intensive, "gender-affirming" model of care is the norm, the impact of Cass's four-year investigation and final report has been largely ignored, finds journalist Jennifer Block in The BMJ today.

The review concluded that the evidence on use of puberty blockers and hormones for children and teens experiencing gender-related distress is wholly inadequate and called for a more holistic approach to care.

It also found that links between the evidence and medical guidance are often unclear, and largely informed by the World Professional Association for Transgender Health and Endocrine Society guidelines, which themselves lack scientific rigor.

"This approach may explain why there has been an apparent consensus on key areas of practice despite the evidence being poor," wrote Cass.

Yet the American Academy of Pediatrics (AAP) and Endocrine Society have stood by their guidelines, while the American Psychological Association, American Psychiatric Association, and American College of Obstetricians and Gynecologists have remained largely silent about Cass.

"Unfortunately, Cass does not seem to be penetrating the public consciousness," says Zhenya Abbruzzese, cofounder of the Society for Evidence-Based Gender Medicine (SEGM), a group of researchers and clinicians that has pushed for systematic reviews and an evidence-based approach.


Oregon pediatrician and SEGM member Julia Mason adds, "Parents and their children are being misled in clinics all over the country. There is no evidence that giving puberty blockers followed by hormones and surgery is lifesaving care and there is mounting evidence that the harms outweigh the advantages."

Not everyone has joined the consensus, notes Block. Scot Glasberg, past president of the American Society of Plastic Surgeons, now president of the Plastic Surgery Foundation, told The BMJ that the organization will issue "trustworthy, high quality" guidelines, but "like Dr. Cass, we've found that the literature is of low quality and low value to dictate surgical care ... We are trying to be very measured and not get into the difficulty that some of the other organizations have gotten into."

Similarly, The Wall Street Journal editors said the review "shows wisdom and humility on treatment of young people, in contrast to the ideological conformity in U.S. medical associations," while The Washington Postand Boston Globe ran opinions that amplified Cass to argue for a more precautionary path forward. But many outlets, including STAT News, CNN, and Scientific American, which have run many articles favorable to the affirmative model, have so far ignored Cass.

So far, outspoken thought leaders have not reconciled their statements with the growing list of systematic reviews that stand in contradiction, adds Block.

Yale pediatrician Meredithe McNamara has called puberty blockers "one of the most compassionate things that a parent can consent to for a transgender child," and in testimony to the US Congress, warned that when gender-affirming care "is interrupted or restricted, suicide, depression, anxiety, disordered eating, and poor quality of life follow."

Alejandra Caraballo, a Harvard Law School instructor with more than 160,000 X followers, also tweeted in advance of the report's release last month that it had "disregarded nearly all studies," a claim that Cass called "misinformation."

But Erica Anderson, a clinical psychologist and former president of USPATH, says the Cass report is going to "stand the test of time."

"I'm already hearing from the boards of directors and trustees of some hospital systems who are starting to get nervous about what they've permitted. So I think that's going to accelerate change within American health care."

In the face of criticism, Cass has been unwavering: "It wouldn't be too much of a problem if people were saying 'This is clinical consensus and we're not sure.' But what some organizations are doing is doubling down on saying the evidence is good," she told The New York Times. "And I think that's where you're misleading the public."

I would draw the reader's attention to this in particular:
"I'm already hearing from the boards of directors and trustees of some hospital systems who are starting to get nervous about what they've permitted. So I think that's going to accelerate change within American health care."

In the face of criticism, Cass has been unwavering: "It wouldn't be too much of a problem if people were saying 'This is clinical consensus and we're not sure.' But what some organizations are doing is doubling down on saying the evidence is good," she told The New York Times. "And I think that's where you're misleading the public."



Ain't group think and a culture of fear a bitch?
 
Interesting article regarding differences between male and female brains - Archive link

While not being expressly about trannies, they have a very notable find:
View attachment 6027534

So this lays to rest the "intersex" bullshit. Men are men and women are women. I bet if they scanned tranny brains they would match their sex.

I read the article, but I don't understand what they actually DID to the brains to get these findings. The scientific paper page is archived here but I really need a medfag to translate what it means. The abstract reads:

Sex plays a crucial role in human brain development, aging, and the manifestation of psychiatric and neurological disorders. However, our understanding of sex differences in human functional brain organization and their behavioral consequences has been hindered by inconsistent findings and a lack of replication. Here, we address these challenges using a spatiotemporal deep neural network (stDNN) model to uncover latent functional brain dynamics that distinguish male and female brains. Our stDNN model accurately differentiated male and female brains, demonstrating consistently high cross-validation accuracy (>90%), replicability, and generalizability across multisession data from the same individuals and three independent cohorts (N ~ 1,500 young adults aged 20 to 35). Explainable AI (XAI) analysis revealed that brain features associated with the default mode network, striatum, and limbic network consistently exhibited significant sex differences (effect sizes > 1.5) across sessions and independent cohorts. Furthermore, XAI-derived brain features accurately predicted sex-specific cognitive profiles, a finding that was also independently replicated. Our results demonstrate that sex differences in functional brain dynamics are not only highly replicable and generalizable but also behaviorally relevant, challenging the notion of a continuum in male-female brain organization. Our findings underscore the crucial role of sex as a biological determinant in human brain organization, have significant implications for developing personalized sex-specific biomarkers in psychiatric and neurological disorders, and provide innovative AI-based computational tools for future research.
 
read the article, but I don't understand what they actually DID to the brains to get these findings. The scientific paper page is archived here but I really need a medfag to translate what it means. The abstract reads:
The article is paywalled, but as far as I can tell, they did fMRI on a large number of people and gathered "connectivity profiles", basically it analyzes how the brain is organized and what parts are activated when you're not doing anything. This gave them a huge data set which it fed into an AI, and the AI sorted it into male and female populations. The model is also apparently predictive; you can give it a new data point and it will correctly sort that data into male or female based on how the algorithm treats it.
 
I read the article, but I don't understand what they actually DID to the brains to get these findings. The scientific paper page is archived here but I really need a medfag to translate what it means. The abstract reads:
The article is paywalled, but as far as I can tell, they did fMRI on a large number of people and gathered "connectivity profiles", basically it analyzes how the brain is organized and what parts are activated when you're not doing anything. This gave them a huge data set which it fed into an AI, and the AI sorted it into male and female populations. The model is also apparently predictive; you can give it a new data point and it will correctly sort that data into male or female based on how the algorithm treats it.
Yes. They used large datatsets of MRI data.

"Our stDNN model was trained on a large sample (N ~ 1,000) of rsfMRI data from the Human Connectome Project (HCP) (39). We then assessed the replicability of our predictive models on multiple HCP sessions without additional training. Furthermore, we evaluated the generalizability of the stDNN model to two independent age- matched cohorts from the Nathan Kline Institute–Rockland Sample (NKI- RS) (40) and Max Planck Institute (MPI) Leipzig (41), again without additional training. Our study focuses on young adults ages 20 to 35 y, precluding the use of developmental (e.g., ABCD) and aging (e.g., UK BioBank) cohorts (SI Appendix, Table S1)."
 
The scientific paper page is archived here but I really need a medfag to translate what it means. The abstract reads:
The paper is paywalled and I cannot get hold of it. In principle though, I don't trust that the classification by AI reflects a real difference. There are too many layers of abstraction in the AI's neural network and it is impossible to cross check; bias simply cannot be caught.

Here is another paper (free full text) that uses fMRI and machine learning to classify brains according to sex-gender.
 
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The paper is paywalled and I cannot get hold of it.

I found a link to the pdf on Reddit of all places. I hate being helped out by those faggots.
 

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I found a link to the pdf on Reddit of all places. I hate being helped out by those faggots.
I'll have to dig through it when I have time, but from a quick check of the discussion it looks like they haven't fallen into the "a dog is defined by the absence of snow" problem that DNN studies tend to suffer. Neural Nets are vulnerable to spoofing because they make decisions based on unintuitive features, like a specific texture and colour defining something as a cat, or a visible label carrying undue weight compared to other datapoints; unless you know what it's actually weighting for its decisions, you can't easily validate its output.

It looks like their model reveals the features it used to reach its decision, which allows for validation of the outputs vs known inputs. I wouldn't trust it to make decisions by itself, but it could work as a rapid classifier for subsequent human validation.
 
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