0 Members and 1 Guest are viewing this topic.
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.It was a routine takedown for the three scientists—Joe Simmons, Leif Nelson and Uri Simonsohn—who have gained academic renown for debunking published studies built on faulty or fraudulent data. They use tips, number crunching and gut instincts to uncover deception. Over the past decade, they have come to their own finding: Numbers don’t lie but people do.“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.
