Think Again: The Power of Knowing What You Don't Know Page 12

Later, I sat down with Danny for lunch and asked him about his reaction. It looked a lot to me like the joy of being wrong—his eyes twinkled as if he was having fun. He said that in his eighty-five years, no one had pointed that out before, but yes, he genuinely enjoys discovering that he was wrong, because it means he is now less wrong than before.

I knew the feeling. In college, what first attracted me to social science was reading studies that clashed with my expectations; I couldn’t wait to tell my roommates about all the assumptions I’d been rethinking. In my first independent research project, I tested some predictions of my own, and more than a dozen of my hypotheses turned out to be false.* It was a major lesson in intellectual humility, but I wasn’t devastated. I felt an immediate rush of excitement. Discovering I was wrong felt joyful because it meant I’d learned something. As Danny told me, “Being wrong is the only way I feel sure I’ve learned anything.”

Danny isn’t interested in preaching, prosecuting, or politicking. He’s a scientist devoted to the truth. When I asked him how he stays in that mode, he said he refuses to let his beliefs become part of his identity. “I change my mind at a speed that drives my collaborators crazy,” he explained. “My attachment to my ideas is provisional. There’s no unconditional love for them.”

Attachment. That’s what keeps us from recognizing when our opinions are off the mark and rethinking them. To unlock the joy of being wrong, we need to detach. I’ve learned that two kinds of detachment are especially useful: detaching your present from your past and detaching your opinions from your identity.

Let’s start with detaching your present from your past. In psychology, one way of measuring the similarity between the person you are right now and your former self is to ask: which pair of circles best describes how you see yourself?

In the moment, separating your past self from your current self can be unsettling. Even positive changes can lead to negative emotions; evolving your identity can leave you feeling derailed and disconnected. Over time, though, rethinking who you are appears to become mentally healthy—as long as you can tell a coherent story about how you got from past to present you. In one study, when people felt detached from their past selves, they became less depressed over the course of the year. When you feel as if your life is changing direction, and you’re in the process of shifting who you are, it’s easier to walk away from foolish beliefs you once held.

My past self was Mr. Facts—I was too fixated on knowing. Now I’m more interested in finding out what I don’t know. As Bridgewater founder Ray Dalio told me, “If you don’t look back at yourself and think, ‘Wow, how stupid I was a year ago,’ then you must not have learned much in the last year.”

The second kind of detachment is separating your opinions from your identity. I’m guessing you wouldn’t want to see a doctor whose identity is Professional Lobotomist, send your kids to a teacher whose identity is Corporal Punisher, or live in a town where the police chief’s identity is Stop-and-Frisker. Once upon a time, all of these practices were seen as reasonable and effective.

Most of us are accustomed to defining ourselves in terms of our beliefs, ideas, and ideologies. This can become a problem when it prevents us from changing our minds as the world changes and knowledge evolves. Our opinions can become so sacred that we grow hostile to the mere thought of being wrong, and the totalitarian ego leaps in to silence counterarguments, squash contrary evidence, and close the door on learning.

Who you are should be a question of what you value, not what you believe. Values are your core principles in life—they might be excellence and generosity, freedom and fairness, or security and integrity. Basing your identity on these kinds of principles enables you to remain open-minded about the best ways to advance them. You want the doctor whose identity is protecting health, the teacher whose identity is helping students learn, and the police chief whose identity is promoting safety and justice. When they define themselves by values rather than opinions, they buy themselves the flexibility to update their practices in light of new evidence.


THE YODA EFFECT: “YOU MUST UNLEARN WHAT YOU HAVE LEARNED”

On my quest to find people who enjoy discovering they were wrong, a trusted colleague told me I had to meet Jean-Pierre Beugoms. He’s in his late forties, and he’s the sort of person who’s honest to a fault; he tells the truth even if it hurts. When his son was a toddler, they were watching a space documentary together, and Jean-Pierre casually mentioned that the sun would one day turn into a red giant and engulf the Earth. His son was not amused. Between tears, he cried, “But I love this planet!” Jean-Pierre felt so terrible that he decided to bite his tongue instead of mentioning threats that could prevent the Earth from even lasting that long.

Back in the 1990s, Jean-Pierre had a hobby of collecting the predictions that pundits made on the news and scoring his own forecasts against them. Eventually he started competing in forecasting tournaments—international contests hosted by Good Judgment, where people try to predict the future. It’s a daunting task; there’s an old saying that historians can’t even predict the past. A typical tournament draws thousands of entrants from around the world to anticipate big political, economic, and technological events. The questions are time-bound, with measurable, specific results. Will the current president of Iran still be in office in six months? Which soccer team will win the next World Cup? In the following year, will an individual or a company face criminal charges for an accident involving a self-driving vehicle?

Participants don’t just answer yes or no; they have to give their odds. It’s a systematic way of testing whether they know what they don’t know. They get scored months later on accuracy and calibration—earning points not just for giving the right answer, but also for having the right level of conviction. The best forecasters have confidence in their predictions that come true and doubt in their predictions that prove false.

On November 18, 2015, Jean-Pierre registered a prediction that stunned his opponents. A day earlier, a new question had popped up in an open forecasting tournament: in July 2016, who would win the U.S. Republican presidential primary? The options were Jeb Bush, Ben Carson, Ted Cruz, Carly Fiorina, Marco Rubio, Donald Trump, and none of the above. With eight months to go before the Republican National Convention, Trump was largely seen as a joke. His odds of becoming the Republican nominee were only 6 percent according to Nate Silver, the celebrated statistician behind the website FiveThirtyEight. When Jean-Pierre peered into his crystal ball, though, he decided Trump had a 68 percent chance of winning.

Jean-Pierre didn’t just excel in predicting the results of American events. His Brexit forecasts hovered in the 50 percent range when most of his competitors thought the referendum had little chance of passing. He successfully predicted that the incumbent would lose a presidential election in Senegal, even though the base rates of reelection were extremely high and other forecasters were expecting a decisive win. And he had, in fact, pegged Trump as the favorite long before pundits and pollsters even considered him a viable contender. “It’s striking,” Jean-Pierre wrote early on, back in 2015, that so many forecasters are “still in denial about his chances.”

Based on his performance, Jean-Pierre might be the world’s best election forecaster. His advantage: he thinks like a scientist. He’s passionately dispassionate. At various points in his life, Jean-Pierre has changed his political ideologies and religious beliefs.* He doesn’t come from a polling or statistics background; he’s a military historian, which means he has no stake in the way things have always been done in forecasting. The statisticians were attached to their views about how to aggregate polls. Jean-Pierre paid more attention to factors that were hard to measure and overlooked. For Trump, those included “Mastery at manipulating the media; Name recognition; and A winning issue (i.e., immigration and ‘the wall’).”

Even if forecasting isn’t your hobby, there’s a lot to be learned from studying how forecasters like Jean-Pierre form their opinions. My colleague Phil Tetlock finds that forecasting skill is less a matter of what we know than of how we think. When he and his collaborators studied a host of factors that predict excellence in forecasting, grit and ambition didn’t rise to the top. Neither did intelligence, which came in second. There was another factor that had roughly triple the predictive power of brainpower.

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