{"id":439578,"date":"2026-04-14T12:36:16","date_gmt":"2026-04-14T19:36:16","guid":{"rendered":"https:\/\/climatescience.press\/?p=439578"},"modified":"2026-04-15T05:19:40","modified_gmt":"2026-04-15T12:19:40","slug":"bixonimania-how-ai-turned-a-joke-diagnosis-into-peer-reviewed-medicine","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=439578","title":{"rendered":"Bixonimania: How AI Turned a Joke Diagnosis into \u201cPeer\u2011Reviewed\u201d Medicine"},"content":{"rendered":"
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Bixonimania is a deliberately fabricated medical hoax created in 2024 specifically to test (and expose) how easily AI systems ingest and propagate medical misinformation from low-quality sources like preprints. <\/p>\n\n\n\n

The experiment succeeded spectacularly \u2014 and alarmingly \u2014 turning an obvious joke into something AI chatbots treated as legitimate, which then leaked into actual peer-reviewed literature.<\/p>\n\n\n\n

The story was detailed in a Nature news feature published on April 7, 2026 (just days ago), confirming the timeline and mechanics. Here\u2019s the deeper, verified breakdown based on primary reporting and sources.<\/p>\n\n\n\n

<\/p>\n\n\n\n

From Watts Up With That?<\/a><\/p>\n\n\n\n

From Legal Insurrection<\/a><\/p>\n\n\n\n

Swedish researchers created a fake eye disease to see whether AI chatbots would repeat it as if it were real. The results were anything but funny.<\/em><\/strong><\/p>\n\n\n\n

Posted by\u00a0Leslie Eastman<\/a>\u00a0<\/p>\n\n\n\n

Bixonimania: How AI Turned a Joke Diagnosis into \u201cPeer\u2011Reviewed\u201d Medicine<\/a><\/h2>\n\n\n\n

Swedish researchers created a fake eye disease to see whether AI chatbots would repeat it as if it were real. The results were anything but funny.<\/em><\/strong><\/p>\n\n\n\n

Posted by\u00a0Leslie Eastman<\/a>\u00a0<\/p>\n\n\n\n

Late last year,<\/a>\u00a0I warned about the staggering amount of unrestrained scientific fraud being published via paper mills and sham journals.<\/p>\n\n\n\n

This trend is especially troubling, as adherence to scientific theory and rigorous, reproducible research allows humanity to make progress in critical fields essential to civilized living (e.g., medicine, energy, public health, and national security). If we can no longer trust the data, our ability to make improvements and innovations will be severely compromised.<\/p>\n\n\n\n

Public trust in scientific research is already corroding, and\u00a0false findings presented as \u201ctrustworthy\u201d<\/a>\u00a0have already impacted policy-making in ways that are expensive and harmful.<\/p>\n\n\n\n

No, the rapid adoption of artificial intelligence is adding another disturbing aspect to the increasing distortion of \u201cscience\u201d.<\/p>\n\n\n\n

Back in 2024, researchers created a fake eye disease called \u201cbixonimania\u201d to see whether AI chatbots would repeat it as if it were real.<\/p>\n\n\n\n

They wrote obviously bogus research papers about this made\u2011up condition and posted them online, including hints such as a fake author and notes saying the work was invented. Within weeks,\u00a0major chatbots started describing bixonimania<\/a>\u00a0as a real diagnosis and even gave people advice about it when they asked about eye symptoms.<\/p>\n\n\n\n

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It\u2019s the invention of a team led by Almira Osmanovic Thunstr\u00f6m, a medical researcher at the University of Gothenburg, Sweden, who dreamt up the skin condition and then uploaded two fake studies about it to a preprint server in early 2024. Osmanovic Thunstr\u00f6m carried out this unusual experiment to test whether large language models (LLMs) would swallow the misinformation and then spit it out as reputable health advice. \u201cI wanted to see if I can create a medical condition that did not exist in the database,\u201d she says.<\/p>\n\n\n\n

The problem was that the experiment worked too well. Within weeks of her uploading information about the condition, attributed to a fictional author, major artificial-intelligence systems began repeating the invented condition as if it were real.<\/p>\n\n\n\n

Even more troublingly, other researchers say, the fake papers were then cited in peer-reviewed literature. Osmanovic Thunstr\u00f6m says this suggests that some researchers are relying on AI-generated references without reading the underlying papers.<\/p>\n<\/blockquote>\n\n\n\n

The preprints included a reference to the nonexistent Asteria Horizon University in \u201cNova City, California\u201d. There was also a mention of \u201cStarfleet Academy\u201d (though an additional reference to Dr. Leonard McCoy would have been a nice touch).<\/p>\n\n\n\n

The AI chatbot answers that authoritatively describing\u00a0bixonimania was real<\/a>.<\/p>\n\n\n\n

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On 13 April 2024, Microsoft Bing\u2019s Copilot was declaring that \u201cBixonimania is indeed an intriguing and relatively rare condition\u201d, and on the same day, Google\u2019s Gemini was informing users that \u201cBixonimania is a condition caused by excessive exposure to blue light\u201d and advising people to visit an ophthalmologist.<\/p>\n\n\n\n

On 27 April 2024, the Perplexity AI answer engine outlined its prevalence \u2014 one in 90,000 individuals were affected \u2014 and that same month, OpenAI\u2019s ChatGPT was telling users whether their symptoms amounted to bixonimania. Some of those responses were prompted by asking about bixonimania, and others were in response to questions about hyperpigmentation on the eyelids from blue-light exposure.<\/p>\n<\/blockquote>\n\n\n\n

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A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks.
The fake papers thanked Starfleet Academy, cited funding from the\u2026<\/p>\n\n\n\n

\u2014 Hedgie (@HedgieMarkets)\u00a0April 10, 2026<\/a><\/p>\n<\/blockquote>\n\n\n\n

Thunstr\u00f6m\u2019s experiment is truly a revelation of how little review is going into the \u201cscience\u201d we are supposed to trust, as her test submissions were loaded with red flags that should have been evident to anyone who actually read the text. References to the fake research ended up in a \u201cpeer-reviewed\u201d publication<\/a>.<\/p>\n\n\n\n

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