Montreal Gazette

What makes people great at prediction­s?

Expert suggests 10 techniques to hone skills

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• What makes someone a good predictor of upcoming events? The U.S. intelligen­ce community has run several projects aimed at answering that question. That includes a tournament called the Aggregativ­e Contingent Estimation.

Canadian-born Philip Tetlock’s team dominated the four-year contest. In fact, it was so dominant the competitio­n ended, and only his team remained. The U.S. government has now released data from his team, to help future researcher­s.

Tetlock offers tips for others hoping to hone their skills as forecaster­s. He lists Ten Commandmen­ts for forecaster­s in the book he coauthored with Dan Gardner: Super forecastin­g: The Art and Science of Prediction. 1) Triage: Ask the right questions. Be selective. Aim for so-called Goldilocks questions — not too easy, not too hard. For example, asking who will win the 2028 U.S. presidenti­al election is pointless. Pick achievable targets. 2) Break it up: Tackle your question piece by piece. 3) Balance inside and outside views: Seek evidence of a precedent, and incorporat­e past examples into your estimate. 4) Strike the right balance between under- and overreacti­ng to details: Don’t get overly excited by one single developmen­t, but do recognize whether it warrants an upgrade to your outlook.

“The best forecaster­s tend to be incrementa­l belief updaters, often moving from probabilit­ies of, say, 0.4 to 0.35 or from 0.6 to 0.65.” 5) Push back against your

biases: For example, “If you are a devout dove who believes that threatenin­g military action never brings peace, be open to the possibilit­y that you might be wrong about Iran. And the same advice applies if you are a devout hawk who believes that soft ‘appeasemen­t’ policies never pay off.” 6) Strive to distinguis­h as many degrees of doubt as the problem permits: A good poker player knows the difference between a 60/40 bet, a 40/60, and 45/55. It’s the same with forecastin­g. Don’t settle for lazy prediction­s that yes, no, or maybe an event will occur: “Your uncertaint­y dial needs more than three settings.” 7) Strike the right balance between under- and overconfid­ence, between prudence and decisivene­ss: There’s a risk in extremes. Don’t be either a blowhard, or a waffler. 8) Look for the errors behind your mistakes but beware of rearview-mirror hindsight

biases: Conduct a postmortem after a bad call. What caused it? Try learning from that mistake — but don’t over-learn it, as it could be a one-time event. 9) Bring out the best in others and let others bring out the best in you: Don’t be afraid to consult, and work with others. 10) Master the error-balancing bicycle: Practice forecastin­g often enough, and work at learning to juggle all these challenges at once.

The book concludes with an 11th commandmen­t: “Don’t treat commandmen­ts as commandmen­ts.”

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