I was always taught by my parents and coaches to always be a good sport. While winning was important, what was even more so was how a player or team won. And if you ever happened to be on the losing side of things, acting with grace, humility, and respect was part of good sportsmanship too. Unfortunately, not everyone places as high of a premium on good sportsmanship. There are many athletes and coaches who subscribe to a "win at all costs" philosophy. Apparently former professional tennis player Andy Roddick isn't that kind of athlete.
When Andy Roddick retired from professional tennis in 2015, he had an overall professional record of 615-213 with 32 career titles (including the 2003 U.S. Open) and a former number one ranking to his list of accomplishments. However, I will always be most impressed by what Roddick did in the 2005 Italian Championship. He was the top seed in the tournament, but he was defeated in the quarterfinals by Fernando Verdasco in three sets (6-7, 7-6, 6-4). During the second set, Roddick was leading 5-3 with triple match point. In other words, he would have three chances to win the point and move on to the next round. The line judge called Verdasco's serve out, which would have given Roddick the match win. Roddick, however, insisted that the ball was in, forcing the umpire to reverse the call, giving the point to Verdasco (see a video clip here). Verdasco would go on to win the game, the set, and the match. Notably, Verdasco would lose in the next round.
Unfortunately, as I stated, not everyone in Roddick's shoes would have insisted that the ball was in. His sportsmanship ultimately cost him the match (and likely a lot of money as a result). It's tempting to ask whether Roddick could have been accused of cheating if he hadn't argued for the correct call. It would have been tempting to just look the other way and ignore the fact that the referee had made the wrong call. But he didn't. He was 100% honest in that situation, which is both admirable and honorable.
Unfortunately, a lot of individuals not only look the other way, but they also outright cheat. Even the so-called experts that study cheating have been accused of being dishonest. For example, the Harvard psychologist Marc Hauser once wrote an article entitled "Costs of Deception: Cheaters Are Punished in Rhesus Monkeys", but he later resigned from his position when the U.S. Office of Research Integrity concluded that he had falsified and manipulated the data to better support his conclusions (see the Scientific American article, "Why we cheat" by Ferric Fang and Arturo Casadevall). More recently, two investigators who have studied and published on cheating and dishonesty, Dan Ariely and Francesca Gino, have been accused of fabricating some of their data (see "They Studied Dishonesty. Was Their Work a Lie?" by Gideon Lewis-Kraus published in The New Yorker magazine).
Unfortunately, cheating, defined by Fang and Casadevall as acting dishonestly to gain an advantage, is far more common than perhaps realized. I finished a book last year by the physician and scientist Csaba Szabo entitled Unreliable: Bias, Fraud, and the Reproducibility Crisis in Biomedical Research. The overall gist of the book can be summarized with one simple statement. As many as 90% of published biomedical studies may be irreproducible (see also the paper published in 2005 by John Ioannidis in the journal PLos Medicine, "Why most published research findings are false"). In other words, if another scientist tried to replicate the results of a previously published study by following the exact methods that were reported by the original scientists who first published the study, it's almost certain that he or she would not be able to do so! Dr. Szabo suggests that there are three likely explanations. The original scientists publishing the study made an honest mistake, used questionable statistical methods to analyze their data, or outright fabricated their results.
Given the cuts in research funding at the federal level, the pool of grant dollars available to fund academic research is getting smaller, even while the number of researchers who are competing for those dollars is increasing. Academic fraud and dishonesty is likely to become even more commonplace. Moreover, with the advent of artificial intelligence tools, such as ChatGPT, cheating even outside the research world is becoming more prevalent (see James Walsh's article in New York magazine, "Who wouldn't cheat?").
I have always enjoyed reading Dan Ariely's research and lay publications, and I have posted about his findings several times in the past. His research on dishonesty is very interesting, but unfortunately I don't think it would be right to discuss his research, given some of the accusations that have come out in recent years. In his book, The (Honest) Truth About Dishonesty, he suggests that almost everyone cheats. And while he does not deny that the data in some of his research was fabricated, he denies personally doing so and stated that he unknowingly used and published falsified data.
Dr. Szabo offered a few recommendations on how to address academic fraud and research dishonesty. First, he stated that we should have stricter oversight and mandate that data is open and available to all. Given the level of competition in academic research, that could be a tall order. Second, he suggested that we should institute more transparent peer review. Peer review is the process by which a scientist's peers review a submitted manuscript for scientific accuracy prior to the manuscript becoming published. Unfortunately, even peer review has been called into question as of late (see the article published in The Wall Street Journal by Kevin McCaffree and Colin Wright). Third, Dr. Szabo suggests that we shift funding from individuals to institutions, so that these same institutions can provide better oversight and have less of an incentive for dishonesty. Finally, he suggests that we criminalize serious and deliberate fraud. All of these are reasonable recommendations, but they will likely be difficult to implement.
So back to my original question, "Why do we cheat?" I guess I can't answer that question fully, at least right now. Dr. Christian Hart summarized what he calls a tripartite theory of dishonesty for Psychology Today. Basically, cheating, lying, and dishonest behavior occurs as a function of (1) the expected utility (i.e. benefit) of lying is marginally high, (2) the expected external disutility risk of lying (the probability and consequences of being detected) is low, and (3) the expected internal disutility of lying (guilt, regret, shame, effort) is low. It seems, therefore, that we can decrease the incidence of cheating, lying, or behaving dishonestly by decreasing the rewards associated with the behavior and by increasing the chance of catching someone lying or cheating. I'm not sure we can significantly alter the internal regret, shame, or guilt from lying. I do know that the more we reward honest behavior, individuals will act more honestly in the future. Many of Dr. Hart's recommendations fit with those suggested by Dr. Szabo. At the end of the day, it seems prudent to follow Scott Alexander's advice, when he said, "All good is hard. All evil is easy. Dying, losing, cheating, and mediocrity is easy. Stay away from easy."



