The Signal and the Noise: Why So Many Predictions Fail-but Some Don't Hardcover – Sep 27 2012
Frequently Bought Together
Customers Who Bought This Item Also Bought
No Kindle device required. Download one of the Free Kindle apps to start reading Kindle books on your smartphone, tablet, and computer.
Getting the download link through email is temporarily not available. Please check back later.
To get the free app, enter your mobile phone number.
One of Wall Street Journal's Best Ten Works of Nonfiction in 2012
“Mr. Silver, just 34, is an expert at finding signal in noise… Lively prose — from energetic to outraged… illustrates his dos and don’ts through a series of interesting essays that examine how predictions are made in fields including chess, baseball, weather forecasting, earthquake analysis and politics… [the] chapter on global warming is one of the most objective and honest analyses I’ve seen… even the noise makes for a good read.”
—New York Times
“Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be one of the more momentous books of the decade.”
—New York Times Book Review
"A serious treatise about the craft of prediction—without academic mathematics—cheerily aimed at lay readers. Silver's coverage is polymathic, ranging from poker and earthquakes to climate change and terrorism."
—New York Review of Books
"Mr. Silver's breezy style makes even the most difficult statistical material accessible. What is more, his arguments and examples are painstakingly researched..."
—Wall Street Journal
"Nate Silver is the Kurt Cobain of statistics... His ambitious new book, The Signal and the Noise, is a practical handbook and a philosophical manifesto in one, following the theme of prediction through a series of case studies ranging from hurricane tracking to professional poker to counterterrorism. It will be a supremely valuable resource for anyone who wants to make good guesses about the future, or who wants to assess the guesses made by others. In other words, everyone."
—The Boston Globe
"Silver delivers an improbably breezy read on what is essentially a primer on making predictions."
“The Signal and the Noise is many things — an introduction to the Bayesian theory of probability, a meditation on luck and character, a commentary on poker's insights into life — but it's most important function is its most basic and absolutely necessary one right now: a guide to detecting and avoiding bullshit dressed up as data…What is most refreshing… is its humility. Sometimes we have to deal with not knowing, and we need somebody to tell us that.”
“[An] entertaining popularization of a subject that scares many people off… Silver’s journey from consulting to baseball analytics to professional poker to political prognosticating is very much that of a restless and curious mind. And this, more than number-crunching, is where real forecasting prowess comes from.”
“Nate Silver serves as a sort of Zen master to American election-watchers… In the spirit of Nassim Nicholas Taleb’s widely read “The Black Swan”, Mr. Silver asserts that humans are overconfident in their predictive abilities, that they struggle to think in probabilistic terms and build models that do not allow for uncertainty.”
"Silver explores our attempts at forecasting stocks, storms, sports, and anything else not set in stone."
"The Signal and the Noise is essential reading in the era of Big Data that touches every business, every sports event, and every policymaker."
“Laser sharp. Surprisingly, statistics in Silver’s hands is not without some fun.”
“A substantial, wide-ranging, and potentially important gauntlet of probabilistic thinking based on actual data thrown at the feet of a culture determined to sweep away silly liberal notions like ‘facts.’”
—The Village Voice
“Silver shines a light on 600 years of human intelligence-gathering—from the advent of the printing press all the way through the Industrial Revolution and up to the current day—and he finds that it's been an inspiring climb. We've learned so much, and we still have so much left to learn.”
“Nate Silver’s The Signal and the Noise is The Soul of a New Machine for the 21st century (a century we thought we’d be a lot better at predicting than we actually are). Our political discourse is already better informed and more data-driven because of Nate’s influence. But here he shows us what he has always been able to see in the numbers—the heart and the ethical imperative of getting the quantitative questions right. A wonderful read—totally engrossing.”
—Rachel Maddow, author of Drift
“Yogi Berra was right: ‘forecasting is hard, especially about the future.’ In this important book, Nate Silver explains why the performance of experts varies from prescient to useless and why we must plan for the unexpected. Must reading for anyone who cares about what might happen next.”
—Richard Thaler, co-author of Nudge
“Making predictions in the era of ‘big data’ is not what you might imagine. Nate Silver's refreshing and original book provides unpredictably illuminating insights differentiating objective and subjective realities in forecasting our future. He reminds us that the human element is still essential in predicting advances in science, technology and even politics... if we were only wise enough to learn from our mistakes.”
—Governor Jon Huntsman
“Here's a prediction: after you read The Signal and the Noise, you'll have much more insight into why some models work well—and also why many don't. You'll learn to pay more attention to weather forecasts for the coming week—and none at all for weather forecasts beyond that. Nate Silver takes a complex, difficult subject and makes it fun, interesting, and relevant.”
—Peter Orszag, former director of the Office of Management and Budget
“Projection, prediction, assumption, trepidation, anticipation, expectation, estimation… we wouldn’t have 80 words like this in the English language if it wasn’t central to our lives. We tend not to take prediction seriously because, on some level, we know that we don’t know. Silver shows us how this inevitable part of life goes awry when projected on a grand scale into the murky worlds of politics, science and economics. Dancing through chess, sports, snowstorms, global warming and the McLaughlin Group, he makes a serious and systematic effort to show us how to clean the noise off the signal.”
—Bill James, author of The Bill James Baseball Abstracts
About the Author
Nate Silver is the founder and editor in chief of FiveThirtyEight.com.See all Product Description
What Other Items Do Customers Buy After Viewing This Item?
Top Customer Reviews
Making decisions based on an assessment of future outcomes is a natural and inescapable part of the human condition. Indeed, as Nate Silver points out, "prediction is indispensable to our lives. Every time we choose a route to work, decide whether to go on a second date, or set money aside for a rainy day, we are making a forecast about how the future will proceed--and how our plans will affect the odds for a favorable outcome" (loc. 285). And over and above these private decisions, prognosticating does, of course, bleed over into the public realm; as indeed whole industries from weather forecasting, to sports betting, to financial investing are built on the premise that predictions of future outcomes are not only possible, but can be made reliable. As Silver points out, though, there is a wide discrepancy across industries and also between individuals regarding just how accurate these predictions are. In his new book `The Signal and the Noise: Why So Many Predictions Fail--but Some Don't' Silver attempts to get to the bottom of all of this prediction-making to uncover what separates the accurate from the misguided.
In doing so, the author first takes us on a journey through financial crashes, political elections, baseball games, weather reports, earthquakes, disease epidemics, sports bets, chess matches, poker tables, and the good ol' American economy, as we explore what goes into a well-made prediction and its opposite.Read more ›
The book makes a compelling case for why we all need to learn more about statistics in order to better understand the world, and it also helps you learn at least the basics of what you need to know.
The first half explains why we often make enormous mistakes in our reasoning because we see patterns which aren't there - the apparent signal which is really an accident of the noise (there is no man in the moon - we just interpret random craters and flood plains that way). It makes a convincing case why we need to read on.
Once he has got us to understand how we make so many errors, he introduces us to the way out: Bayesian statistics.
I had tried before to get the idea behind Bayesian statistics but until I read this, I was not doing so well because I don't have the spare time to learn another whole branch of mathematics. By using many real world examples from sports and gambling, he leads us step-by-step, without equations, to understanding the basic principles and gave me the ability to see where I might be going wrong. You might need some more books before you can work the math yourself to come up with the kind of outstanding bets Nate Silver has made, as he tells us how he was able to beat the odds at betting on baseball thorough the use of statistical reasoning, but at least you'll know where you and others are going wrong and have some idea on how to start on better answers.
The title of this review is based on my sad realisation that the kind of people who want the simple answers that Silver demonstrates are not there are not the kind of people who read this type of book where better answers are to be found.Read more ›
Interviewing leading lights in diverse fields, the book romps from climate to earthquakes to terrorism to markets. He draws from his own card-counting all-nighters in the early days of online poker to both chaos and complexity theory to illustrate the lessons. All good. The limited 3 stars given here is only from the point of view of a trader. This one area gets quickie sound bytes. It makes a few valid points about the strength of the prediction of the Efficient Market Hypothesis. The near impossibility of "beating the market" over the long term - the tangle of noise in the short term. As if hedging his bets, he alludes parenthetically that passing "inefficiencies" ARE likely being profitably exploited. He gestures an especially dismissive sneer toward "chartists", quips more confidently about index funds, and hurries on to change the subject.
Our loss. While there are authors who HAVE contributed with more depth/balance to probabilistic approaches to market theory and trading, so much more can be done in this area. Markets surely form one of the historically richest examples of noise versus signal. Of the roles of luck and skill, the interaction of myth and fact. The caldron of complexity that makes up a market and causes "agreed" prices to endlessly ebb and flow.Read more ›
Most recent customer reviews
Cette lecture m'a été suggérée par le site www.solutionfinance.net Et j'avoue ne pas avoir été déçu. Read morePublished 18 months ago by Jean-Francois Mercure
I get bored after I read a few chapters. I force myself to finish the rest chapters, and now I don't remember a thing from this book.Published 24 months ago by Amazon Customer
Using facts and figures to predict an election, pick a baseball team, play poker or bet on basketball, you should read this book.Published on July 24 2014 by Nan
Look for similar items by category
- Books > Business & Investing > Management & Leadership > Planning & Forecasting
- Books > Business & Investing > Popular Economics
- Books > Politics & Social Sciences > Politics
- Books > Politics & Social Sciences > Social Sciences > Sociology
- Books > Politics & Social Sciences > Social Sciences > Statistics
- Books > Professional & Technical > Business Management > Management & Leadership > Planning & Forecasting
- Books > Professional & Technical > Professional Science > Mathematics > Applied
- Books > Science & Math > Mathematics > Applied > Probability & Statistics
- Books > Science & Math > Technology > Futurology