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Nate Silver - The Signal and the Noise [96] Unabridged

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Nate Silver - The Signal and the Noise: Why Most Predictions Fail-But Some Dont

Unabridged, 96 kbps, Read by Mike Chamberlain

http://www.barnesandnoble.com/w/the-signal-and-the-noise-nate-silver/1111307421?ean=9781594204111

Overview
Nate Silvers 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 hairs breadth, and became a national sensation as a bloggerall by the time he was thirty. The New York Times now publishes FiveThirtyEight.com, where Silver is one of the nations most influential political forecasters.

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 goodor 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 rudimentaryand dangerousscience.

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 Silvers insights are an essential read.

Kirkus Reviews
An anointed wunderkind explains his own success as a prognosticator and explains why so many self-anointed experts are often wrong about winners in politics, sports and other realms. New York Times blogger Silver initially gained attention by developing a computer-based system meant to predict performances of Major League baseball players. Eventually, the author turned his talents to nonsports topics, including trying to figure out who would win the U.S. presidency during 2008. In 49 of 50 states, Silver correctly chose the presidential vote winner. In the 35 races for the U.S. Senate, he called every one accurately. In the 2012 election, he accurately called the presidential vote in all 50 states. Silver emphasizes that predictions are ultimately a human endeavor and that computers are programmed by humans. Meteorologists, for example, predict the weather incorrectly more than anybody would like. They have, however, used computer-based data analysis to improve accuracy. In the financial sphere, economists and other professional predictors failed to grasp the coming recession in 2008 despite sophisticated computer modeling. However, Silver writes, nobody saw it coming is an unacceptable excuse. The financial collapse was foreseeable with the proper underlying assumptions about economic behavior programmed into the computers. Too many underlying assumptions were misguided. Even more significant, 9/11 could have been predicted as well. Intelligence-agency analysts, however, could not grasp that religious zealots would plot their own deaths in order to kill Americans. No amount of computerized information can rectify a blind spot of that nature, Silver writes. Predicting the future performance of baseball players with well-documented pasts is more conducive to predictive accuracy than trying to understand previously anonymous fanatics. Some of the sections of the book are best understood by readers with mathematical reasoning skills, but the author is mostly accessible and enlightening.

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