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Source: Edvard Munch, Melancholy, 1894 / Public Domain
I am fascinated by people who can paint or draw well and have even studied the art-making process scientifically. Every time I have tried to learn how to make art myself has been a total failure. I feel like it gets worse and worse, yet I keep trying to “fail better.” But what if the problem is that I have unrealistic expectations about how my past failures can lead to future success?
A new study from researchers at the business schools of Northwestern, Cornell, Columbia and Yale Universities suggests we systematically overestimate the likelihood of others to learn from their mistakes and failures. The results are sobering but if we are ever to actually profit from past failures, it would be good to heed them.
The researchers, led by Lauren Eskreis-Winkler of Kellogg School of Management at Northwestern, asked cohorts of people to rate the likelihood that someone who fails an important task will subsequently succeed at it. They asked questions like: “Consider lawyers who take the bar. Of those who do not pass initially, what percent of lawyers do you think will eventually pass? Guess a percent between 0 and 100.” They then calculated the difference between people’s guesses and actual rates of bar exam success from other studies.
People’s predictions were not very good. For the question above, where the real rate of success after failure is 35%, people on average guessed the rate was 58%. There were similar results for questions involving teacher and nurse licensing exams.
However, when the prior failure was omitted from the question, in a second study, their responses came much closer to the actual figures. They asked questions like: “Consider teachers who take the teacher licensing exam and score 219 points (out of 300). What percent of these teachers do you think will hunker down, increase their studying, and score above 219 on a re-test?” In this case, there is no mention of failure. People on average guessed the answer was 57% which is quite close to the true rate of 58%. A second group of participants were asked the same question but also prompted that “219 is a failing grade on the teacher licensing exam.” This group guessed a much higher success rate of 70%. This suggests that we have special expectations about success after failure when the failure is made more salient.
The researchers also found evidence that this is not simply a matter of people being too optimistic overall. In another study, people were assigned to either learn a task involving deciphering hieroglyphics (these participants were called “experiencers”), or to be told about a participant’s success or failure as they do the same task (“predictors”). The researchers found that “predictors who viewed the exact situation experiencers found themselves in nonetheless believed that experiencers who initially failed would be more likely to subsequently succeed than experiencers actually were. This success overestimate occurred following initial failure, but not initial success.”
One might expect that if people know the true rate of success after failure, they might be less inclined to support programs like addiction treatment, where success rates are depressingly low (91% of people who enter recovery from opioid addiction relapse in the following year). Reassuringly, this is not the case. In another study, the authors found that people are actually more likely to express support for taxpayer-funded programs to help people with addiction when they are told the true relapse rate, compared to when this information is withheld (58% vs. 49%).
Of course, in some sense it doesn’t matter how much you believe other people will succeed after failure. All that matters is whether you believe you will succeed after failure enough to keep trying. This is likely down to your own motivations and drives, as well as the rewards and costs of trying again.
As someone who remains in awe of artists and what they can create, I will certainly keep trying to learn how to draw and paint. And I will do so in the full knowledge that I will probably fail.
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