i highly recommend finding yourself a clingy (healthy) lovey dovey partner who's always super excited about you. life is too short to spend it with someone who acts like showing love is a chore.
Sade Olutola

Kiana Khansmith
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Love Begins
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PUT YOUR BEARD IN MY MOUTH
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he wasn't even looking at me and he found me

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if i look back, i am lost
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Not today Justin

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@tailcheysa
i highly recommend finding yourself a clingy (healthy) lovey dovey partner who's always super excited about you. life is too short to spend it with someone who acts like showing love is a chore.
i highly recommend finding yourself a clingy (healthy) lovey dovey partner who's always super excited about you. life is too short to spend it with someone who acts like showing love is a chore.
i highly recommend finding yourself a clingy (healthy) lovey dovey partner who's always super excited about you. life is too short to spend it with someone who acts like showing love is a chore.
realizing that the online sphere and especially tumblr is NOT a good sample for ‘what everyone thinks’ is so, so, so good for your mental health and moral OCD. i swear to god. realizing that you don’t have to live your actual life like you’re being hunted for sport because the average tumblr user will hunt you for sport for wording something slightly weird or engaging in the wrong stuff or whatever is so incredible. like no you’re actually not fucked up and evil for not donating or for watching that one indie cartoon or questioning a post that everybody is agreeing with. that’s just tumblrs georg making you feel that way
Truncated text of tweet from MrPitBull, Mar 11, 2026:
She kept finding women in laboratory photographs from the 1800s. Then she read the published papers—and every single woman had vanished. Someone had erased them from history.
Yale University, 1969.
Margaret Rossiter was a graduate student studying the history of science. She was one of very few women in her program.
Every Friday afternoon, students and faculty gathered for beers and informal conversation. One week, Margaret asked a simple question: "Were there ever any women scientists?"
The faculty answered firmly: No.
Someone mentioned Marie Curie. The group dismissed it—her husband Pierre really deserved the credit.
Margaret didn't argue. But she also didn't believe them.
So she started looking.
She found a reference book called "American Men of Science"—essentially a Who's Who of scientific achievement. Despite the title, she was shocked to discover it contained entries about women. Botanists trained at Wellesley. Geologists from Vermont.
There were names. There were credentials. There were careers.
The professors had been wrong.
But Margaret's discovery was just the beginning. Because as she dug deeper into archives across the country, she found something far more disturbing.
Photograph after photograph showed women standing at laboratory benches, working with equipment, listed on research teams.
But when she read the published papers, the award citations, the official histories—those same women had disappeared. Their names were missing. Their contributions erased.
It wasn't random. It was systematic.
Women who designed experiments watched male colleagues publish results without giving them credit. Women whose discoveries were assigned to supervisors. Women listed in acknowledgments instead of as authors. Women passed over for awards that went to male collaborators who contributed far less.
Margaret realized she was witnessing a pattern that stretched across centuries.
Women had always been present in science. The record had simply pushed them aside.
She needed a name for what she was documenting.
In the early 1990s, she found it in the work of Matilda Joslyn Gage—a 19th-century suffragist who had written about this exact phenomenon in 1870.
In 1993, Margaret published a paper formally naming it: The Matilda Effect.
The term captured something that had been hidden in plain sight for generations. Once you knew the term, you saw it everywhere.
Her dissertation became a lifelong mission.
For more than 30 years, Margaret researched and wrote her landmark three-volume series: Women Scientists in America. She examined letters, institutional policies, individual careers. She gathered undeniable evidence that women in science had been consistently under-credited and structurally excluded.
Her work faced resistance. Many dismissed women's history as political rather than academic. Others insisted she was exaggerating.
Margaret didn't argue emotionally. She presented data. Documented cases. Patterns repeated across decades and institutions.
Eventually, the evidence became undeniable.
Her research helped restore recognition to scientists who had been erased:
Rosalind Franklin, whose X-ray work revealed DNA's structure—credit went to Watson and Crick.
Lise Meitner, who explained nuclear fission—omitted from the Nobel Prize.
Nettie Stevens, who discovered sex chromosomes—received little credit.
Cecilia Payne-Gaposchkin, who discovered stars are made of hydrogen—initially dismissed.
And countless others whose names had nearly vanished.
Margaret changed the narrative. Science was no longer just the story of solitary male geniuses. It became a story of collaboration that included women who had been written out.
The Matilda Effect became standard terminology. Scholars used it to examine how credit is assigned, how authors are listed, who receives awards, who gets left out.
This is an important concept, but the piece is written by AI.
There are a number of tells, but this is an excellent example to talk about em-dashes, which people often either take as permanent AI tells or run the other way and say "humans use em-dashes and that's why AI does, too! they're not tells!" Both are kind of right and both are kind of wrong.
What you'll see if you look closely at this text is that it ONLY uses em-dashes. Every time it needs to put in some kind of break or set off some text, it goes for the em-dash. There are no phrases in parentheses. There are commas, but only in places where the absolute rule is to use a comma (like in a series, for instance). There is one colon, again placed where the absolute rule is to use at (at the top of a list). Whenever there's an option, where a human writer would be actively making a choice about what punctuation to use, the AI defaults to an em-dash.
On top of that, look at the content. The AI bot people are obsessed with feminism, ironically. I suspect it's because very basic feminist narratives about women pushing back against barriers or doing something heroic are popular and gets shared widely. So, first of all, you should be on your guard when you see a "what this woman did CHANGED HISTORY!" kind of piece. (I wonder if the twitter/tumblr trend of BUCKLE UP history posts has affected the AI ...) And then you should check out the specific claims.
She kept finding women in laboratory photographs from the 1800s. Then she read the published papers—and every single woman had vanished. Someone had erased them from history.
I can't find this anywhere else. The paper "The Matthew Matilda Effect in Science" doesn't talk about photos! The Wikipedia page doesn't talk about photos! This Smithsonian article doesn't talk about photos! Her piece on her career in Writing and Revising the Disciplines (2002) (good read) DOES mention photos, in that she got the Mount Holyoke archivist to send her a few from the 1880s showing women doing scientific work as a nice illustration that "epitomized" what she was already aware of.
Rossiter started with textual primary sources that documented women as named individuals contributing to scientific discoveries. The idea of her being confused by photos is a hallucination.
Despite the title, she was shocked to discover it contained entries about women. Botanists trained at Wellesley. Geologists from Vermont.
There's definitely something to be said about the framing of this bit as shocking!!! but since I'm talking about facts and sources, it's clear to me that the AI recognized the botany-Wellesley connection from the paper but could not parse that the reference was to a female botanist who taught at Wellesley. There is also nothing in the paper about Vermont geologists, so I have no idea where the AI got that; I would suspect it's another hallucination attempting to create a pattern from the first reference.
But Margaret's discovery was just the beginning. Because as she dug deeper into archives across the country, she found something far more disturbing. Photograph after photograph showed women standing at laboratory benches, working with equipment, listed on research teams. But when she read the published papers, the award citations, the official histories—those same women had disappeared. Their names were missing. Their contributions erased.
Again, back to the mysterious photographs. But the rest of this text is an issue as well: what Rossiter describes in the paper is not a complete absence of these women in any official documentation, but that these women were amply documented and known to be working within the scientific community and yet did not receive public credit or awards. It's not a complete smothering out, but a sort of complacent back-burnering, which is too nuanced for the AI to be able to handle when told to "write a post about the Matilda effect that will get engagement on social media". She didn't prove that discoveries attributed to male authorship actually had women involved and only she knew their names: she collected many stories that people already knew of overlooked/underplayed female scientists and put them together to say, "This is a pattern and we should have a name for it." Some of her examples were even recent enough (1970s-80s) that she was able to point to a feminist backlash.
And again ironically, the AI itself engages in the Matilda Effect by presenting this whole thing as utter silence -> Rossiter gets curious -> the case is blown open. Rossiter actually refers to the work of other female historians and social scientists! In fact, she started this line of research after noticing the female biographies in American Men of Science when her housemate, Cynthia Thompson, recommended that she keep track of them.
Her research helped restore recognition to scientists who had been erased: Rosalind Franklin, whose X-ray work revealed DNA's structure—credit went to Watson and Crick. Lise Meitner, who explained nuclear fission—omitted from the Nobel Prize. Nettie Stevens, who discovered sex chromosomes—received little credit. Cecilia Payne-Gaposchkin, who discovered stars are made of hydrogen—initially dismissed. And countless others whose names had nearly vanished.
Rossiter did not claim to be rediscovering these women. She refers to Franklin and Meitner as having been famously denied credit, in fact! Meitner specifically is "one of the best-known examples of the phenomenon". Stevens she uses as one in the list of examples in the paper, and Payne-Gaposchkin actually just gets a reference at the end that's doesn't even tell you the specific field of scientific study. (To be fair, there may be more about them in her other publications.) This was not about Badass Historian of Science Tells the Establishment What's What. Everybody knew about the concept of female scientists being publicly ignored as collaborators by 1993 — and women's history as a field had been around for 15-20 years. She was not working in a vacuum where nobody else thought that it was important to study these topics until she forced them to see the light.
Please, please, everyone, be on the lookout for bad feminist history written by AI. If you're not with me on the tells and hallucinations here, then at least be on the lookout for bad "feminist" history regardless of the source. If it sounds like it's sensationalizing, it probably is.
it seems like insult to injury on the photographic point to note that the photo from this tweet is not in fact Margaret Rossiter (picture of her below):
but a different missing scientist that doesn't appear in the text of the tweets, Dr. Jocelyn Bell Burnell.
also, I think it's fascinating (read: typical, disappointing) that not a single one of the scientists mentioned in the LLM content wasn't white. Like say, Marie Maynard Daly, who did pioneering work in heart disease and cigarette smoking:
Jewel Plumber Cobb, one of the first to study what would later be termed "precision medicine" or how different people respond differently to chemotherapy in oncology:
or Chien-Shiung Wu, experimental physicist and Manhattan Project contributor.
and lest anyone think I had to dig hard for this information somewhere obscure, all three of these examples are from a single article in Smithsonian magazine, on the first page of results in DuckDuckGo (non-AI version). Literally less than a minute to find.
I don't mean to shame people using LLMs because they don't trust their own abilities. But if you're out there doing that I want you to know there is nothing about them smarter or better than YOU and YOUR BRAIN because LLMs can't question themselves. They're very large magic 8 balls that can't generate new content, only thoughts someone else has already had. So if people out there are making obvious mistakes based on bias and you use LLM trained with that (read: all of it other than a few very carefully curated and proprietary models not the ones easily there for consumer use) you ARE going to repeat those mistakes. There's no way to stop it.
I'm surprised I was able to get this far into the 2020's without needing to ask for mutual aid but here we are 💔
Local dentist saw a shadow on an x-ray for an unrelated visit and found bacteria eating away at my tooth and skull thats been happening for years. It hasn't been spotted until now because I wasn't showing any of the associated symptoms.
I need multiple surgeries to get the remains of the front tooth broken into pieces and removed, the bacteria scrubbed off, a bone graft applied to my skull, an implant installed and of course a new crown manufactured and screwed in.
They urged me to do it as soon as possible or else it will get worse.
If u could please donate / share ill be endlessly grateful ❤️
Hey all, you might know me by my work online :) I'll get straigh… Lilith Walther needs your support for Help Lilith with her sever
we're for real gonna be telling stories about this man for centuries
yall I feel like I'm floating right now
reblog this coco for your followers to rest up and get well
hello fata morgana community
are you still alive
many people have asked me what "yuribait" is. the answer is this image:
Be yourself so ppl looking for u can find u
more than anything i want a world where a trans girl realizing she is a trans girl faces zero fear from that realization and subsequent coming out. Where she can say "Oh sweet, I can just be a girl? Sign me up!", no worrying if shes girl enough, no worrying if society will accept her, no worrying if she'll be an attractive girl as she transitions, no worrying at all in any way shape or form.
I kept forgetting my nighttime antidepressant so I set an alarm where the sound was a recording of me saying "HEY. TAKE YOUR FUCKING PILL" because I thought it would be funny. It was funny about three times, and then it started making me mad and I'd dismiss it right away to make it stop. So I handed my phone to my partner, who made another recording sweetly saying "Okay Shira, it's time to take your medication" and now I don't get mad anymore and I take my pill. The "compassion over punishment" camp has gotta get something wrong one of these days
I reeeeaaalllyy don't like how widespread gender realism is in supposedly feminist circles on this website. You are one step away from becoming a radfem.
"Woman" is a socially constructed category and "women" have nothing intrinsic in common, other than viewing themselves as whatever "woman" is defined as in their society, or being judged by the standards of whatever "woman" is defined as in their society. Gender is as "real" of a category as race or neurotype, which is to say, it's not objectively real at all. It's an artificial category created on the basis of perceived shared traits among certain people. The people came first, they were grouped into their artificial category later. There are no intrinsic differences between men or women or nonbinary or multigender people.
Do you actually believe gender is a social construct or are you just mindlessly repeating the phrase because it sounds cool
Watching the queer way of interacting with gender go from "Gender is a social construct that can be fun to play with but at heart is a dangerous toy because it has been used for generations to oppress and divide people." To "Everyone has a perfect crystal of true gender which you must deeply introspect to discover, and you can be wrong about its nature." Has been a disaster.
As a trans person this view I feel is deeply harmful and wrong. I do believe gender is a real and not socially constructed concept. I feel no one “gave” me my gender and people telling me my gender is a construct is insulting to who I am and how hard I worked to discover myself. Not everyone has the same experience as I do but to say as an objective that gender is made up is extremely presumptuous and rude. In my personal spiritual beliefs I feel every person’s soul comes with its own relationship to gender that isn’t given by society. Do not try to tell me my religion and my relationship with myself are made up. That’s not your place. Believe your beliefs and let others believe theirs. It harms no one.
Gender is undeniably a social construct. Your spiritual beliefs are also a social construct. Both was created and shaped by society and people's understanding of it changes constantly. A medieval Catholic's religious beliefs and experience of church were completely different from a modern Catholic's.
Children aren't born having a full understanding of gender or religion — they have to be indoctrinated into it. It might be inherent to people to seek out some kind of gender expression or spiritual belief, but the way we do it is not innate. We aren't born knowing that skirts are for girls and big trucks are for boys.
Money is also a social construct. That doesn't mean it isn't real or that it doesn't matter. It's just that people made it up and assigned meaning to it. We have no choice but to participate in it, so money is still important and meaningful to pretty much everyone in society because it defines our experiences of existing as humans right now. Still a social construct though, and has very recently changed from being exclusively bills & metal coins in your wallet/under your mattress to numbers in an app. Children have to learn how to interact with money and most people are pretty bad at it and it cases a lot of problems. The same could be said for gender.
The example that got my (really quite Catholic) mother to understand social constructs as both important and made up was days of the week.
There is no law of nature that proves it is Wednesday. Days are real - the Earth rotates, the sun rises and sets, that’s physics. Deciding to build our entire westernised lives around 1/4 of the moon’s orbit is made up. There is no law of physics that links this moment in the lunar procession to ‘Wednesday’.
And yet it really is Wednesday. Mum, you need to go to work and later your choir who practice on Wednesdays will be pissed if you skip practice because ‘Wednesday is a social construct’.
It’s also completely valid to have a favourite day of the week - Sunday for my mum since she goes to church, doesn’t work and avoids domestic chores on Sunday. And all those feelings about Sundays are completely valid in the absence of any law of nature which proves ‘it’s Sunday’.
And all those feelings about your gender…