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Why Expert Predictions So Often Fail

118 10
23.02.2026

True expertise is about judgment under constraints, not predicting uncertain futures.

Prediction strips away the context and evidence that expert judgment depends on.

As problems move beyond familiar patterns, expert forecasts drift toward chance.

A while back, I came across an article titled “Trust the Experts? It’s a Bad Bet,” and at first glance it seemed to echo a familiar claim: that expertise itself has become less trustworthy[1]. But reading past the headline revealed a much narrower and very different argument. The real target wasn’t expertise in general; it was expert prediction. In essence, the claim was that experts are often poor forecasters of the future, and trusting their predictions is usually a losing proposition.

On that point, the author is largely right. Trusting expert predictions often is a bad idea. But it's not because true expertise itself is hollow or overrated. It’s because what makes someone a legitimate expert is rarely their ability to function as an oracle.

That's an important distinction. Judging expertise by its ability to predict uncertain futures almost guarantees disappointment—and it sets up a false dichotomy in the process: either we defer to expert authority, or we decide expertise itself is overrated. Neither position is especially useful.

The more interesting question isn’t whether we should “trust experts” in some broad, abstract sense. It’s what we should expect true expertise to actually deliver—and where its limits lie. Experts aren’t hired to see the future. They’re hired to help us make sense of the present: to diagnose problems we already face, interpret evidence we already have, and weigh tradeoffs under real constraints. When we confound that kind of judgment with prophecy, we end up misunderstanding both the........

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