The Signal and the Noise Pdf free download

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Author(s): Nate SilverDownload  

Publish: Published September 27th 2012 by Penguin (first published 2012)

ISBN: ISBN 159420411X (ISBN13: 9781594204111)

Description: 

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. The New York Times now publishes FiveThirtyEight.com, where Silver is one of the nation’s 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 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.

Some Reviews: 36,754 ratings 2,716 reviews in Goodreads.com

Moira Burke

Moira Burke rated it      
It’s rare for a pop sci book to make me feel like I’ve become a better scientist for having read it. Computational social scientist friends: this book’s for you. Like Duncan Watts’s “Everything is Obvious,” Nate Silver’s book covers science communication and perception; in this case, Silver focuses on challenges scientists face making forecasts and biases among audiences interpreting the results. He covers the economy, hurricanes, earthquakes, terrorist attacks, baseball, chess, and climate change, noting the specific conditions that make that kind of forecasting problem different from others. It’s compelling like Michael Lewis’s books without lionizing individual characters, but still interesting and occasionally funny. His example walkthrough of Bayes’s Theorem is whether your spouse is cheating on you, conditional on you finding a pair of unknown underwear at home. It’s an example you’re unlikely to forget how to re-calculate. Silver also covers Tetlock’s categorization of scientists as “foxes” or “hedgehogs;” the former gather data from lots of sources and understand the uncertainty in their forecasts, while the latter make clear, rigid, oversimplified predictions and are more likely to be invited on TV.Selected quotes:
“Overfitting: The most important scientific problem you’ve never heard of” 

“Big, bold, hedgehog-like predictions are more likely to get you on television.”

“Harry Truman famously demanded a ‘one-handed economist,’ frustrated that the foxes in his administration couldn’t give him an unqualified answer.”

“Terrorist organizations are fundamentally weak and unstable: as is supposedly true of new restaurants, 90 percent of them fail within the first year.”

Angela

Angela rated it      
I loved this book for the same reason that I loved The Predictioneer’s Game: Using the Logic of Brazen Self-Interest to See and Shape the Future and Data, A Love Story: How I Gamed Online Dating to Meet My Match. All of them lie at the intersection of math/statistics/data/modeling and psychology/sociology. While I still think Nate Silver is brilliant, after reading this book I have a better understanding of just how terrible at modeling and predicting so many other people are (& I’m talking about people who are paid for making predictions) & why it’s so easy for him to look that much more brilliant by comparison.What it’s really about is the use & abuse of statistics & data–what sorts of things can be predicted (short and/or long term) and which kind of can’t, the most common mistakes people make when they try to use data to make predictions, and how living in the age of “big data” actually puts us more at risk for bad predictions. 

The great tragedy of this book is that the people who are most likely to read it are probably the people who already have a pretty decent understanding of data/statistics, and the people who have a less-good understanding of those things are probably the people who would most benefit from reading it.

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