The Signal and the Noise
Why So Many Predictions Fail - but Some Don't
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Narrado por:
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Mike Chamberlain
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De:
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Nate Silver
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.
With everything from the global economy to the fight against disease hanging on the quality of our predictions, Nate Silver’s insights are an essential read.
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Great book - boring narrator
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A very entertaining intro for those of us who aren't techno-current. Lots of different fields of enquiry used for examples. Enough of the author's personality to keep it lively.
Fun for all --
FASCINATING
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Would you recommend this audiobook to a friend? If so, why?
This book does a good job giving insight into the difference between noise and signal and the value of being able to tell the differenceLoved it
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Any additional comments?
I enjoyed this book, but I'm a bit of a numbers junkie myself. Silver does a great job of explaining complicated subjects in plain English--good enough to make best-seller lists. He explains predictions for politics, weather, baseball, poker, economics including the stock market, earthquakes, global climate change, and terrorism. He ties this together with Bayesian statistics. He describes this in terms that anyone can apply. Along the way he explains over fitting and under fitting of models. He describes the advantages of models based on physical principles. I enjoyed the way he used betting terms (hedgehog and fox) to describe political pundits. I would make this book required reading for a statistics class. It won't thrill everyone, but anyone who is curious about predictions will enjoy it.Numbers junkie explains addiction in plain English
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interesting but too long
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