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i wish we could all agree on a secondary location but unfortunately when tumblr is over we will be dispersing into our own directions like dandelion seeds

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Truncated text of tweet from MrPitBull, Mar 11, 2026:
She kept finding women in laboratory photographs from the 1800s. Then she read the published papersâand 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 itâher 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"âessentially 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 historiesâthose 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 Gageâa 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 structureâcredit went to Watson and Crick.
Lise Meitner, who explained nuclear fissionâomitted from the Nobel Prize.
Nettie Stevens, who discovered sex chromosomesâreceived little credit.
Cecilia Payne-Gaposchkin, who discovered stars are made of hydrogenâinitially 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 papersâand 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 historiesâthose 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 structureâcredit went to Watson and Crick. Lise Meitner, who explained nuclear fissionâomitted from the Nobel Prize. Nettie Stevens, who discovered sex chromosomesâreceived little credit. Cecilia Payne-Gaposchkin, who discovered stars are made of hydrogenâinitially 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 â 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.
QUIZ TIME!! Take this quiz, then come back and answer the poll!
100 Different 'Pokemon' will be shown to you. Choose if you think they are FAKE or REAL. Goal is to get a high score so you can brag to ever
What Was Your Score?
0%-20%
20%-40%
40%-50%
50%-60%
60%-70%
70%-80%
80%-99%
100%! (You're one smart cookie!)
our idiotic ancestors used to believe stuff that's not true but luckily we've now figured out all the true things to believe in
Oh also you do have to read real books. Like you have to read the books. You canât just read fanfic, those are not books. You can if you just want to write fanfic, but if you want to write books, you kinda gotta read books. No, posts do not count.

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How it feels when someone prevs you
let's all have a fun time looking up new words when we encounter them to see what they mean before incorporating them into our vocabularies
goth/nerd/prep/jock alignment chart but with dropout cast
but there's 2 versions because, to quote Zac in Ratfish...
why do they all feel like fuckin' Beardsley?
snakes really make you appreciate how gross mammals really are. squamates are very dry and clean
a bird is a kind of reptile that has learned to be yucky.
Green + yellow + orange is a highly underrated colour combo
Look at her don't you love her

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Itâs not because of illegal immigrants that inflation has reached its highest peak since the 1980âs.
Itâs not because of trans people taking a piss that gas prices are through the roof.
Itâs not because of people on SNAP benefits that you canât afford housing or health insurance.
Stop blaming marginalized groups when large corporations are to blame. They are intentionally shifting the blame to keep us fighting amongst ourselves so we never look up and see them pulling at our strings like a puppet master. Itâs time to hold them accountable.
me: yeah, so one of your most famous works is actually just that commission of a woman that you kept. Honestly, it's less of the piece itself that lead to its fame and more the mystery surrounding it, so I was hoping you could clear that up the decayed corpse of Leonardo Da Vinci that I resurrected: Hai detto che hanno chiamato una tartaruga che combatte il crimine con il mio nome?
Hang on let me translate something real quick
Yeah this is funny
âoh no, my audience has begun to guess the big twists of my story and are accurately predicting what will happen!â
incorrect response: write the rest of the story to be as twisty, shocking and counter to expectations as possible, regardless of whether this is a logical or satisfying way for the plot to go
correct response:
can someone elaborate on the âmake hoaxâ and âpost angry tweet about âleakââ part. iâm stupid and donât understand things
sure!
(youâre not stupid. I posted this thinking it would amuse a handful of mutuals who all knew the context and that would be about it, so I didnât think about providing any other explanation. I had no idea it would spread this far.)
Iâll start from the very beginning just to be thorough. so this is Alex Hirsch, creator and head writer of Gravity Falls, a show which had a big focus on mystery, conspiracies, codes and ciphers, etc. the whole plot is kicked off by one of the main characters finding a mysterious old journal in the woods, which detailed all kinds of weird and supernatural things, but then ended abruptly with the author saying they had to hide the journal because they were being watched. the central driving mystery of the show, therefore, was the question of who wrote the journal and what happened to them.
now, the thing about Gravity Falls is that, while it must be said that the writers werenât always quite as sure of their plans as we tend to like to think they are, it is very much a fair play mystery, with legitimate clues to what was going on. but the writers were caught off guard by how quickly the show attracted a dedicated audience, including a lot of people outside the primary presumed demographic, who started solving the clues faster than expected. so some of the fans were able to correctly guess who the author was before it was revealed in the show, and the theory started spreading. this put the writers in something of a panic, because this was THE mystery that the whole story revolved around, with ž of the show building up to the dramatic reveal in the middle of season 2. they wanted it to be a mystery that could be figured out, sure, but they werenât prepared for people to solve it so far in advance of when it was planned to be revealed, which would have really taken away from the big moment. they werenât going to change the main story itself, but having been caught unaware by how much attention the fans were paying, they wanted to up the ante and make the mystery more complex to solve going forwardâbut first they needed to buy some time and throw the fandom off the scent for a little longer.
hence, Alexâs plan as described above. they whipped up a fake shot that appears to give away the identity of the author as being another character in the show, put it on a screen in the studio as if it was a real animation frame, took a picture of it, and âleakedâ it online. it was initially decided to be a hoax (albeit, I think, presumed to be a hoax originating from outside the production team), until Alex posted this tweet:
âŚbefore quickly deleting it (though not so quickly that it didnât get seen, of course).
it worked well enough to distract most people for a while, and wasnât revealed as a hoax until a year later, when an episode aired that definitively proved that the supposed screenshot could never have happened, at which point Alex owned up to the whole thing as seen in the tweet above. by then the episode with the real reveal wasnât far off, and while people did still work it out ahead of time, it was more of an âOH MY GOD I KNEW IT!â moment than a âbooooooring, weâve known that for agesâ moment, which of course was what the writers wanted all along.
personally I find this a fascinating approach to dealing with the problem of spoilers, because it doesnât affect the story itself at all; if you watch Gravity Falls todayâor if you were watching it when it aired without any significant contact with the fandomâyouâd never know about it. ultimately, the problem the writers were facing wasnât that some people might guess the answer to the mysteryâthey never wanted to make it completely impossible to predictâso much as it was that they hadnât designed the story to stand up to so many people working on the puzzle together, which resulted in a sort of total output of puzzle-solving ability that far outstripped the capability of any one solo human being. so their solution is something thatâs very much targeted toward delaying that group problem-solving, without actually affecting the experience of any individual person watching the show.
plus, itâs very in keeping with the overall tone of the show.
and now you know!
if your audience guesses the ending of your story
donât:
change the ending
do:
gaslight them
many women are excited to get old and weird, but i have great news that it's fully possible to become weird now, before you get old. just imagine the heights of weirdness you will be able to reach in fifty years if you get started now. that's what I think
Starting off my challenge to make 1 zine every week until march, itâs some of my favourite baby birds!
Iâm doing this challenge to try to kick my habit of overthinking and never starting stuff, though I will admit Iâm posting this now on my self-appointed deadline day because I spent the whole week overthinking, gotta start somewhere I guess. Once I forced myself to just sit down and just start drawing it only took me an hour which makes me feel a bit silly

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I love this. work smarber not Harbor
the way the sydney pours into everyone and is able to help them grow đ¤ growing stronger and brighter and having faith in others as well as ultimately herself đ¤ her being bathed in that lighting
sydney adamu is the sun