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The Signal and the Noise : Why So Many Predictions Fail-But Some Don't
by Nate Silver


Overview - "Nate Silver's The Signal and the Noise is The Soul of a New Machine for the 21st century." Rachel Maddow, author of Drift
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair s breadth, and became a national sensation as a blogger all by the time he was thirty.
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More About The Signal and the Noise by Nate Silver
 
 
 
Overview
"Nate Silver'sThe Signal and the Noiseis The Soul of a New Machine for the 21st century." Rachel Maddow, author ofDrift
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair s breadth, and became a national sensation as a blogger all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election.Silver is the founder and editor in chief of FiveThirtyEight.com.
Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both 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.
In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary and dangerous science.
Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.
With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver s insights are an essential read."

 
Details
  • ISBN-13: 9781594204111
  • ISBN-10: 159420411X
  • Publisher: Penguin Press
  • Publish Date: September 2012
  • Page Count: 534


Related Categories

Books > Mathematics > Probability & Statistics - General
Books > Social Science > Future Studies
Books > Business & Economics > Forecasting

 
Publishers Weekly Reviews

Publishers Weekly® Reviews

  • Reviewed in: Publishers Weekly, page .
  • Review Date: 2012-12-24
  • Reviewer: Staff

Despite the fact that there is more information about everything from finance to professional sports available than ever before, predictions "may be more prone to failure" in this "era of Big Data." Balancing technical detail and thoughtful analysis with fluid prose, statistician Silver (FiveThirtyEight ) picks apart the many ways in which predictions in various fields have been flawed, while suggesting approaches that could improve the practice. The catastrophic miscalculations on the part of financial lending agencies that led to the recession of 2008 arose for the same types of reasons that caused baseball scouts to undervalue Boston Red Sox all-star player Dustin Pedroia or feed into a political pundit's flawed forecast: overconfidence in models based on oversimplified principles and unrealistic initial assumptions. Though there is no simple solution, a Bayesian methodology, in which prior beliefs are taken into account and initial assumptions constantly revised, would lead to more accurate predictive models. Effective prediction requires, according to Silver, "the serenity to accept the things we cannot predict, the courage to predict the things we can, and the wisdom to know the difference." Agent: Sydelle Kramer, The Susan Rabiner Literary Agency. (Oct.)

 
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