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The Overconfidence Effect

Why you systematically overestimate your knowledge and abilities

My favorite musician, Johann Sebastian Bach, was anything but a one-hit wonder. He composed numerous works. How many there were I will reveal at the end of this blog post. But for now, here’s a small assignment: How many concertos do you think Bach composed? Choose a range, for example, between one hundred and five hundred, so that your estimate is at least 98 percent correct and only 2 percent off. [1] Write it on a piece of paper before you read on. Please do the same with these two questions: How many member states does OPEC (Organization of the Petroleum Exporting Countries) have? How long is the Nile river? Of course, you could choose your range from zero to infinity, but that would defeat the purpose of this little exercise. Just pick a large enough range for your to feel comfortable.

How much confidence should we have in our own knowledge? Psychologists Howard Raiffa and Marc Alpert, wondering the same thing, have interviewed hundreds of people in this way. Sometimes they have asked participants to estimate the total egg production in the United States or the number of physicians and surgeons listed in the Yellow Pages of the phone directory for Boston or the number of foreign automobiles imported into the United States, or even the toll collections of the Panama Canal in millions of dollars. Subjects could choose any range they liked, with the aim of being no more than 2 percent off. The results were amazing. In the final tally, instead of just 2 percent of the respondents being wrong, 40 percent proved incorrect. The researchers dubbed this amazing phenomenon the overconfidence effect.

The overconfidence effect also applies to forecasts, such as stock market performance over a year or your firm’s profits over three years. We systematically overestimate our knowledge and our ability to predict—on a massive scale. The overconfidence effect does not deal with whether single estimates are correct or not. Rather, it measures the difference between what people really know and what they think they know (see The Black Swan, Taleb). What’s surprising is this: Experts suffer even more from the overconfidence effect than laypeople do. If asked to forecast oil prices in five years’ time, an economics professor will be as wide of the mark as a zookeeper will. However, the professor will offer his forecast with certitude.

The overconfidence effect does not stop at economics: In surveys, 84 percent of Frenchmen estimate that they are above-average lovers (Taleb). Without the overconfidence effect, that figure should be exactly 50 percent—after all, the statistical “median” means 50 percent should rank higher and 50 percent should rank lower. In another survey, 93 percent of the U.S. students estimated to be “above average” drivers. And 68 percent of the faculty at the University of Nebraska rated themselves in the top 25 percent for teaching ability. Entrepreneurs and those wishing to marry also deem themselves to be different: They believe they can beat the odds. In fact, entrepreneurial activity would be a lot lower if the overconfidence effect did not exist. For example, every restaurateur hopes to establish the next Michelin-starred restaurant, even though statistics show that most close their doors after just three years. The return on investment in the restaurant business lies chronically below zero.

What makes the overconfidence effect so prevalent and its effect so confounding is that it is not driven by incentives; it is raw and innate. And it’s not counterbalanced by the opposite effect, “underconfidence,” which doesn’t exist. No surprise to some readers: the overconfidence effect is more pronounced in men—women tend not to overestimate their knowledge and abilities as much. Even more troubling: Optimists are not the only victims of the overconfidence effect. Even self-proclaimed pessimists overrate themselves—just less extremely.

In conclusion: Be aware that you tend to overestimate your knowledge. Be skeptical of predictions, especially if they come from so-called experts. And with all plans, favor the pessimistic scenario. This way, you have a chance of judging the situation somewhat realistically.

Back to the questions from the beginning: Johann Sebastian Bach composed 1,127 works that survived to this day. He may have composed considerably more, but they are lost. OPEC has 12 member states. The Nile river is 4132 miles long.

[1]: Alpert, Marc; Howard Raiffa (1982). "A progress report on the training of probability assessors". In Daniel Kahneman, Paul Slovic, Amos Tversky. Judgment under uncertainty: Heuristics and biases. Cambridge University Press. pp. 294–305. ISBN 978-0-521-28414-1.

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