







This is crazy! The data from the study show patterns that make it nearly impossible for it to be legit. But we can learn a lot from the tone of the comments. "We have concerns about [x], please clarify." Out in the wild, this would be THESE IDIOTS FAKED THEIR STUDY!!
Health Nerd
This is one of the most remarkable academic debacles I've ever seen. A large RCT got published in BMJ. There are currently 44 Pubpeer comments, mostly about the data, including...well. Read for yourself. pubpeer.com/publications/C08779C45DB6E407…
Nov 11, 2025 at 2:33 PM
Research ethics: 3 ways to blow the whistle
Reporting suspicions of scientific fraud is rarely easy, but some paths are more effective than others.

Fakebook: Using Data Science to Spot Fake News
Capturing our Attention
What are the harms of misinformation? It’s widely believed that it causes false belief, including false beliefs in quite bizarre claims. I argue that this threat is greatly exaggerated: while plaus...

Fakebook: Using Data Science to Spot Fake News
As fake news permeates throughout social media outlets (like Facebook), it's more important than ever to identify what is fact vs. fiction. This is especially true in the age of COVID where the spread of misinformation can impact the spread of the virus. Data scientists are emerging on the front lines of this fight, using programs to help them identify fake news sources. Led by Dr. Teon Brooks, Josh Modeste, and Steven Azeka from the Gotham Data Clinic (fka CiELabs), this workshop will explore the “life cycle” of scientific research and how scientists come to consensus about how we interpret data. We’ll examine what to look for in credible news sources, and the consequences of leaning on not-so-trusty pseudoscientific sources. Then you’ll put that knowledge to work by developing a rubric for identifying fake news. No experience necessary! https://www.eventbrite.com/e/fakebook-using-data-science-to-spot-fake-news-tickets-137833492687
LLMs believe false statements even after explicit warnings that they're false
Fine-tuning tests show "bias... toward confidently representing the claims as true."

Is AI Flooding Medical Journals With 'Meaningless' Research?
'It's not fraudulent, and it's not really slop,' one expert says

Cas (Stephen Casper) on Twitter / X
It is hard to overstate how disappointing I think this new paper from Oxford, OpenAI, Anthropic, and Google (et al) is. I can't take it seriously as academic work, just as propaganda. It also has some very bad scholarship and questionable adherence to research ethics. Having… pic.twitter.com/Z5fBx360ya— Cas (Stephen Casper) (@StephenLCasper) May 13, 2026

A Delphi survey on attitudes to serious research misconduct: Exploring convergence vs. polarization of views of research “sleuths” and research integrity experts
Research fraud is often seen as a rare event, but evidence from self-report surveys indicates that fabrication and falsification of data are common enough to be a problem. This study assessed attit...

Have people stopped trusting science? The data tell a surprising story
Some say there’s a global crisis of trust — but research reveals where the real problems lie.

Nature is expanding Registered Reports to all the fields in which we publish
Registered Reports improve the credibility of scientific claims by rewarding big questions, sound methods and solid analyses. They need to become a standard tool in research.

So maybe now we can agree that having an unchecked research integrity militia who unfortunately has the ear of the press and increasingly that of the the publishers, but who fiercely rejects any… | Ioana A. Cristea
So maybe now we can agree that having an unchecked research integrity militia who unfortunately has the ear of the press and increasingly that of the the publishers, but who fiercely rejects any minimal ethics or code of conduct, is a (growing) problem? Also, that 1. problems have to be investigated before deciding they are are legitimate and serious; 2. this investigation is not social media, blogs and the press; 3. this investigation should not be on the front page of journals and Retraction Watch; 4. there are degrees of seriousness and some things can just be corrected or are simply not very consequential (no, it's not a house of bricks where we have to check every brick, that's a dumb analogy), so being absolutely hysterical and overdramatic about any lie, inaccuracy or mistake is purposeful at worse and should be ignored at best and 5. it is not only unnecessary, but harmful, to also go into other, non-academic things the person did or does to complete "investigations" that you (press, sleuth, blogger, etc) do not have the tools and information to do completely and accurately (this fixation would be called harassment in the before times). Others will justly write about what the institutions did or did not do, but what I want to say is that we really should end it with the blank credit we give to any and all allegations that come from the establish research integrity truth fighters.
Don't Just Fact-Check Misinformation. First, Understand The Value It Holds. A Conversation w Researchers Michael Simeone & Kristy Roschke
Podcast Episode · Why Should I Trust You? · June 25 · 1h 7m
I am disappointed by the fact that so many seem tempted to share a "nonrigorous", unserious attempt at quantifying fraud in science because it passes some silly vibe check ("I asked others and they agree"). So in the name of good science, we're ready to produce bad science as a rhetorical tool.