The Signal and the Noise: Why So Many Predictions Fail—but Some Don’t
Nate Silver
NEW YORK TIMES BESTSELLER • The groundbreaking exploration of probability and uncertainty that explains how to make better predictions in a world drowning in data, from the nation’s foremost political forecaster One of The Wall Street Journal’s Ten Best Works of Nonfiction of the Year “Could turn out to be one of the more momentous books of the decade.”—The New York Times Book Review Most predictions fail, often at great cost to society, because experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. Drawing on his own groundbreaking work in sports and politics, Nate Silver examines the world of prediction, investigating how to seek truth from data. In The Signal and the Noise, Silver visits innovative forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He discovers that what the most accurate ones have in common is a superior command of probability—as well as a healthy dose of humility.
Award History
1 wins · 2 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Phi Beta Kappa Book Awards: Phi Beta Kappa Award in Science | 2013 | Winner | Official source |
| Los Angeles Times Book Prize for Science and TechnologyMajor | 2012 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
Predictions often fail because people confuse confidence with accuracy; improving understanding of uncertainty—and practicing humility about predictions—leads to better future planning.
Model confidence 78%
04 Reading orientation
35 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 72%.