The Forecast Calls For Accuracy

In an excerpt from his forthcoming book, Nate Silver gives high praise to meteorologists:

Perhaps the most impressive gains have been in hurricane forecasting.

Just 25 years ago, when the National Hurricane Center tried to predict where a hurricane would hit three days in advance of landfall, it missed by an average of 350 miles. If Hurricane Isaac, which made its unpredictable path through the Gulf of Mexico last month, had occurred in the late 1980s, the center might have projected landfall anywhere from Houston to Tallahassee, canceling untold thousands of business deals, flights and picnics in between — and damaging its reputation when the hurricane zeroed in hundreds of miles away. Now the average miss is only about 100 miles.

Why are weather forecasters succeeding when other predictors fail? It’s because long ago they came to accept the imperfections in their knowledge. That helped them understand that even the most sophisticated computers, combing through seemingly limitless data, are painfully ill equipped to predict something as dynamic as weather all by themselves. So as fields like economics began relying more on Big Data, meteorologists recognized that data on its own isn’t enough.

Kelly Conaboy comments on the above video:

Sometimes the idea you pitch to your boss at the news station is just the perfect idea, and everyone is so proud of you, because they were a little iffy on it when you described it to them but now, seeing it come to fruition like this, they can totally see where you were coming from and how they were just being a little close-minded, but now they see that they were so wrong and you were so right and you are very in tune with what The People What and you seem to enjoy your job as a weatherman and refuse to just rest on your laurels, which is admirable and enviable, really, and we’re all just so proud of you. You really did it. Some people just talk about doing it, but you really did it.