These statistics have made people wonder whether entrepreneurs are overly confident, given the poor odds of success. In a new article in Organization Science, Robin Hogarth and Natalia Karelaia show that entrepreneurs are indeed overly confident, but this is – or could be – a result of them being right on average. This statement is not as paradoxical as it seems. The point is that even when our judgments are right on average, as they often are, they are not exactly right. There is some error, plus or minus. I may assess my chances of success at some task as too high at one time, and too low at another, but in the long run it averages out. You and I make look at the same task at the same time and make too high and too low judgments of success, but on average we may be right. (We are not always right on average, but for the sake of argument, let’s assume we are.)
Now suppose the task in question was to start a new venture. You and I would only do this if we thought our chances of success were good. On average we are right. But that means that if we are both looking at the same opportunity at once, the one who is more confident of success will move. If I am looking at the same opportunity more than once, I will move when I am more confident of success. Suppose the value of the venture is exactly zero, or even negative. Because we only enter when we are confident of success, those who become entrepreneurs will on average be overconfident of success even if all potential entrepreneurs are – all the time – on average correct.
It is a neat model that helps us understand overconfidence in entrepreneurs. It also happens to be a rediscovery. In a 1984 article in Administrative Science Quarterly, J. Richard Harrison and James G. March made a model of decision makers that are on average correct about the value of different alternatives before making a choice. They take the highest-value alternative. as we all do. But if there is some error in their judgments, even if the error is unbiased, the act of choosing the alternative with the highest value will usually make them disappointed in their choice, because the alternative that seems to have highest value is also the one most likely to be overestimated. This is the same insight as Hogarth and Karelaia, except it is more general: instead of choosing between doing nothing and entering a business, the Harrison and March model is a choice between a number of different alternatives.
Rediscovery or not, it is important to be aware of this trap. The way we make choices sets us up for disappointments, even when we are on average right. So entrepreneurs can be on average right, but also too confident of entering new businesses. And scientists can be on average right, but also too confident of having new findings.
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