Expert explains why the “experts” are always wrong

As Rush Limbaugh often notes, the experts are surprised every time new unemployment stats come out. How expert can they be if they’re surprised by the numbers month after month after month?

The New York Times explains the inexplicable:

This is the problem Dan Gardner tackles in “Future Babble: Why Expert Predictions Are Next to Worthless, and You Can Do Better.” Gardner, a Canadian journalist and author of “The Science of Fear,” takes as his starting point the work of Philip Tetlock, a professor at the University of Pennsylvania. Beginning in the 1980s, Tetlock examined 27,451 forecasts by 284 academics, pundits and other prognosticators. The study was complex, but the conclusion can be summarized simply: the experts bombed. Not only were they worse than statistical models, they could barely eke out a tie with the proverbial dart-throwing chimps.

And that is, of course, why all predictions at IHateTheMedia.com are always made by dart-throwing chimps.

The most generous conclusion Tetlock could draw was that some experts were less awful than others. Isaiah Berlin once quoted the Greek poet Archilochus to distinguish between two types of thinkers: “The fox knows many things, but the hedgehog knows one big thing.” Berlin admired both ways of thinking, but Tetlock borrowed the metaphor to account for why some experts fared better. The least accurate forecasters, he found, were hedgehogs: “thinkers who ‘know one big thing,’ aggressively extend the explanatory reach of that one big thing into new domains” and “display bristly impatience with those who ‘do not get it,’ ” he wrote. Better experts “look like foxes: thinkers who know many small things,” “are skeptical of grand schemes” and are “diffident about their own forecasting prowess.”

There you have it – Al Gore explained in twenty-five words or less:

Being an expert on the internet doesn’t make you an expert on global warming.

Source: New York Times