An award-winning Harvard Business School professor and researcher spent years exploring the reasons people lie and cheat. A trio of behavioral scientists examining a handful of her academic papers concluded her own findings were drawn from falsified data.
“Once you see the pattern across many different papers, it becomes like a one in quadrillion chance that there’s some benign explanation,” said Simmons, a professor at the Wharton School of the University of Pennsylvania and a member of the trio who report their work on a blog called Data Colada.
Simmons and his two colleagues are among a growing number of scientists in various fields around the world who moonlight as data detectives, sifting through studies published in scholarly journals for evidence of fraud.
At least 5,500 faulty papers were retracted in 2022, compared with 119 in 2002, according to Retraction Watch, a website that keeps a tally. The jump largely reflects the investigative work of the Data Colada scientists and many other academic volunteers, said Dr. Ivan Oransky, the site’s co-founder. Their discoveries have led to embarrassing retractions, upended careers and retaliatory lawsuits.
Neuroscientist Marc Tessier-Lavigne stepped down last month as president of Stanford University, following years of criticism about data in his published studies. Posts on PubPeer, a website where scientists dissect published studies, triggered scrutiny by the Stanford Daily. A university investigation followed, and three studies he co-wrote were retracted.