
#extradirty


@theartofmadeline
KIROKAZE
sheepfilms

祝日 / Permanent Vacation
he wasn't even looking at me and he found me
almost home
Cosimo Galluzzi
styofa doing anything
art blog(derogatory)
ojovivo
h
RMH

roma★
Lint Roller? I Barely Know Her
occasionally subtle
Stranger Things
noise dept.

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@vamptoast

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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 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.
*looking in the mirror* You are not morrissey. You are a friendly, charming, driven young woman. Not morrissey. Do not think, "I am morrissey"

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Not enough people talking about how well broccoli holds a sauce
SEX MONEY DRUGS CHAINS ON MY CHEST THAT VINTAGE CELINE DIAMOND GRILLS CHAMPAGNE BOTTLES SWAGGER I BLEED I WANT SEX MONEY BITCHES AND THE STICKIEST WEEEED
Source
Slavery…
by beetlemoses
There's actually one more part!
every sword raised against Megan Thee Stallion shall fail

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pure poetry
THIS IS IMPORTANT!!!!
KOSA IS MOVING FORWARD IN THE HOUSE!
It's part of a package called the KIDS Act, filled with digital ID and age verification and censorship!
MAKE THOSE PHONES RING!! CALL YOUR HOUSE REPRESENTATIVES ALL WEEK
202-224-3121 i HIGHLY encourage everyone to read the bills in the KIDS Act, because you will be doing more than 95% of people who read and introduce these bills
All of the bad internet bills. One website.
Crucially, this is being led by a lot of Democrats. This is not just Republicans sneaking bullshit in while they have the power to simply not listen to anyone; your democratic representatives will continue to co-sponsor and speak in support of this unless they know you, their voters, do not want them to.
blue raspberry is fucked up cause it doesn't make sense but then u taste it and it Does taste like if a raspberry was blue
unrestrained summer fun

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“you couldn’t make this movie today” not because of cancel culture but because big studios aren’t willing to take risks on cool fun new ideas instead of adaptation number 7,000
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).