Hanna Parikka 🇫🇮 🔬🐭

Tiedoksi @HNohynek @Fimea @THLorg @STM_Uutiset @Laakariliitto @Lastenlaakarit @suomengynekologiyhdistys SGY (poistunut X:stä) @katiloliitto @sannigrahn @PetteriOrpo @KaisaJuuso @yleuutiset Jos kiinnostaa. Ammattietiikan puolesta pitäisi kiinnostaa. Piti, jo vuosia sitten. lighthousedeclaration.org/roundtables/fe…

ChatGPT diagnosed 40 million people with a disease that was invented as a joke. Not a real disease. Not a misunderstood disease. A completely fictional condition with a fake name, fake papers, and fake statistics. And it told patients to see a specialist. The disease is called Bixonimania. A Swedish researcher at the University of Gothenburg invented it in 2024 to answer one question: what happens when you plant obviously fake medical information on the internet and watch AI absorb it? She deliberately chose the name bixonimania because it sounded ridiculous — bixon is a nonsense word, and mania is a psychiatric term that no legitimate eye condition would ever use. She uploaded two papers to a preprint server. Both were obviously fraudulent. AI-generated images of patients with dark circles gave the fake research a veneer of plausibility. Then she waited. She did not have to wait long. By April 13, 2024, Microsoft Bing's Copilot was declaring that bixonimania was an intriguing and relatively rare condition. On the same day, Google's Gemini was informing users that bixonimania was caused by excessive blue light exposure and advising them to visit an ophthalmologist. Later that month, Perplexity AI outlined its prevalence, one in 90,000 individuals were affected and OpenAI's ChatGPT was telling users whether their symptoms matched the fictional illness. One in 90,000. A precise statistic. For a disease that does not exist. Every red flag was visible. The name was absurd. The papers were crude. The condition made no scientific sense. None of the AI systems flagged any of it. They read the fake papers. They absorbed the fake statistics. They presented both to patients with clinical authority and zero hesitation. Then it got worse. Three researchers at the Maharishi Markandeshwar Institute of Medical Sciences and Research in India published a paper in Cureus, a peer-reviewed journal owned by Springer Nature, the parent publisher of Nature itself that cited the bixonimania preprints as legitimate sources. A real peer-reviewed paper. In a Springer Nature journal. Citing a fictional disease as established medical fact. Passing editorial review. Entering the permanent scientific record. It was only retracted after the hoax became public. Nature published a full investigation of the experiment. Alex Ruani, a health-misinformation researcher at University College London, called it a masterclass in how misinformation operates. Here is the scale of what this means. More than 40 million people turn to ChatGPT every day for health information, according to OpenAI's own analysis. ECRI, a US patient-safety nonprofit has named chatbot misuse the number-one health technology hazard of 2026. ECRI's report found that chatbots have suggested incorrect diagnoses, recommended unnecessary testing, promoted substandard medical supplies, and even invented nonexistent anatomy when responding to medical questions. Number one. Out of every health technology hazard that exists in 2026. An April 2026 study published in BMJ Open found that nearly half of the answers provided by leading AI chatbots to common health questions contain misleading or problematic information. Nearly half. Of all health answers. From the tools 40 million people use every day. Here is the line from the researcher that cuts through everything. The Bixonimania case is striking precisely because it was engineered to be so obviously fake. The real question it raises is: what is passing through the same systems that is not nearly so easy to spot? The experiment used a ridiculous name. Fraudulent papers. Visible red flags at every level. It was designed to be caught. It was not caught. The AI that told patients about Bixonimania is the same AI they asked about their chest pain, their medication, their child's symptoms, and their cancer screening schedule. 40 million people. Every day. And nobody is telling them that nearly half of what comes back may be wrong. Source: Osmanovic Thunström · University of Gothenburg · Nature · April 2026 · Link in the (comments)

The institutions spent years gaslighting people about "rare and mild" side effects while papers like this were quietly documenting the exact molecular mechanism for why those side effects aren't rare at all. They're predictable pharmacology! onlinelibrary.wiley.com/doi/epdf/10.10…

Malignant narcissist are scared of their victims. They’re scared because they know if their victim speaks up, their false public image will be ruined. So they preemptively and systematically smear campaign their victims to make sure nobody believes them if they ever do speak up.

Ebolaa pukkovaa; ja kaksi viikkoa sitten: 'Fauciin yhteydessä oleva virologi on FBI:n tutkinnan kohteena vaarallisten taudinaiheuttajien salakuljetuksesta Yhdysvaltoihin' Joitain nostoja tuosta artikkelista - lähinnä WHO:n harrastustoiminnan kontekstissa 🧵 x.com/SecondRayer/st…

6 years late to the party. She could have run the sequence through amylogram like many of us did in 2020 but instead she waits until Nature tells her what to fear 6 years later. The same spike in the mandated liability free injection is also amyloidogenic..,, Ooopsie. @Fynnderella1 @KevinMcCairnPhD

“Venäläistä propagandaa” – kunnes USA myönsi biolaboratoriot Oheismatskua & meikäläisen tekstittämää materiaalia alla - 🧵 x.com/verkkosanomat/…

When a snake is dying, it is driven by powerful involuntary reflexes. Even after fatal injury, its nerves and venom glands may remain active for hours, causing unpredictable reflex strikes and venom injection.

Kollega @AriMiettinen3'stä on tehty pakkohoitolähete. @FazerGroup'n arvostelusta joutuu pakkohoitoon? Täytyy tehdä asialle jotain. @OssiTiihonen @Aki_Nummelin @MikaVauhkala @HuuhtanenPanu @sll_aaltonen @AnnOrtega_ @VVElomaa @BlackAcesss @YellowHideaway @PontynenVille @olssi

Why is the mainstream media still silent? Those who approved the COVID shot ignored safety signals and lied to the American public. @CBS, @ABC, @NBCNews, @MSNOWNews, @PBS, @CNN — time to start giving this major scandal the attention it deserves!!!

Antti Säippä @SecondRayer on kirjoittanut hantailusta perusteellisen artikkelin: anttisaippa.substack.com/p/hantavirusta…

👆 substacktools.com/sharex/txK4uN7j

'The Hanta-story? - Tracking different aspects' Fresh from my workshop (link below)😏

Hantavirus- tarinaa penkomassa Tärkeimpiä nostoja eilen julkaisemastani artikkelista - 🧵

It looks like it’s the @nytimes that is “resurrecting COVID Misinformation.”They still haven’t figured out that WE WERE RIGHT and they were the purveyors of misinformation. You cannot detest the media enough! @mdbreathe

@BasedMikeLee Over 500 new billionaires were made during COVID while everyone else was bankrupted. The entire psyop was an extortion plan. We will not have it again.

The bombardment of hantavirus news has NOTHING to do with the fact that the final talks for the WHO’s pandemic treaty are stuck because there is no agreement on the "Pathogen Access and Benefit-Sharing (PABS) system", which means the treaty cannot come into effect. NOTHING!!!

🚨 EVERYONE IS WATCHING THE HANTAVIRUS SCARE BUT MISSED THE REAL SCANDAL🚨 They just blew their own cover 💥 They just proved they knew all about the *vaccine* dangers before COVID‼️ The U.S. Army/NIAID biodefense world had already tested a genetic-instruction hantavirus vaccine in humans. Enrollment: Feb. 19, 2019 – Nov. 4, 2019 Developed by USAMRIID / Fort Detrick. Supported by NIAID / NIH + the Military Infectious Disease Program. Manufactured/supported by Aldevron. Delivered by PharmaJet needle-free injection. This one did NOT even use lipid nanoparticles, which cause even more damage, to help it enter our cells. And even without LNPs: ⚠️98% had local adverse events. ⚠️65% had systemic adverse events. ⚠️15% of vaccine recipients had related Grade 3 symptoms. It is now crystal clear that long BEFORE COVID, federal biodefense actors already had human data showing genetic-instruction vaccine platforms were highly reactogenic and dangerous❗️ That matters legally⚖️👨🏻‍⚖️ Under EUA law, recipients were REQUIRED to be informed of the significant known and POTENTIAL risks and “the extent to which such benefits and risks are unknown.” 21 U.S.C. § 360bbb-3(e)(1)(A)(ii). FDA labeling rules also require warnings when there is reasonable evidence of a clinically significant hazard causation does not have to be definitively proven first. 21 C.F.R. § 201.57(c)(6)(i). **They have yet to update their labels for what we already know currently: Spikevax, RSV mNEXSPIKE… And informed-consent regulations REQUIRE disclosure of reasonably FORESEEABLE RISKS or discomforts. 21 C.F.R. § 50.25. So if federal actors already knew genetic vaccine platforms could produce widespread reactions, and they failed to disclose that platform history and unknowns before pushing COVID mRNA products, that is not just an oversight….not just an oopsie. That is a direct informed-consent and EUA disclosure failure. 🔹They knew the platform family carried risks. 🔹They withheld the platform history. 🔹They sold it as routine. That is the violation.🆘 Your move DOJ

And very easy to grasp 🙏👇😏