"It's the economy, stupid," as Democratic strategist James Carville would say. After many years of study, Ray C. Fair has found that the state of the economy has a dominant influence on national elections. Just in time for the 2012 presidential election, this new edition of his classic text, Predicting Presidential Elections and Other Things, provides us with a look into the likely future of our nation's political landscape—but Fair doesn't stop there. Fair puts other national issues under the microscope as well—including congressional elections, Federal Reserve behavior, and inflation. In addition he covers topics well beyond today's headlines, as the book takes on questions of more direct, personal interest such as wine quality, predicting football games, and aging effects in baseball. Which of your friends is most likely to have an extramarital affair? How important is class attendance for academic performance in college? How fast can you expect to run a race or perform some physical task at age 55, given your time at age 30? Read Predicting Presidential Elections and Other Things and find out! As Fair works his way through an incredibly broad range of questions and topics, he teaches and delights. The discussion that underlies each chapter topic moves from formulating theories about real world phenomena to lessons on how to analyze data, test theories, and make predictions. At the end of this book, readers will walk away with more than mere predictions. They will have learned a new approach to thinking about many age-old concerns in public and private life, and will have a myriad of fun facts to share.

Describes a method for analyzing the forces that influence election results and predicting the outcome of elections for the president of the United States

In presidential elections, do voters cast their ballots for the candidates whose platform and positions best match their own? Or is the race for president of the United States come down largely to who runs the most effective campaign? It’s a question those who study elections have been considering for years with no clear resolution. In The Timeline of Presidential Elections, Robert S. Erikson and Christopher Wlezien reveal for the first time how both factors come into play. Erikson and Wlezien have amassed data from close to two thousand national polls covering every presidential election from 1952 to 2008, allowing them to see how outcomes take shape over the course of an election year. Polls from the beginning of the year, they show, have virtually no predictive power. By mid-April, when the candidates have been identified and matched in pollsters’ trial heats, preferences have come into focus—and predicted the winner in eleven of the fifteen elections. But a similar process of forming favorites takes place in the last six months, during which voters’ intentions change only gradually, with particular events—including presidential debates—rarely resulting in dramatic change. Ultimately, Erikson and Wlezien show that it is through campaigns that voters are made aware of—or not made aware of—fundamental factors like candidates’ policy positions that determine which ticket will get their votes. In other words, fundamentals matter, but only because of campaigns. Timely and compelling, this book will force us to rethink our assumptions about presidential elections.

Combining statistical analysis with well-written narrative history, this re-evaluation of the 1928 presidential election gives a vivid portrait of the candidates and the campaign. Lichtman has based his study primarily on a statistical analysis of data from that election and the presidential elections from 1916 to 1940 for all the 2,058 counties outside the former Confederate South. Not relying exclusively on the results of his quantitative analysis, however, Lichtman has also made an exhaustive survey of previous scholarship and contemporary accounts of the 1928 election. He discusses and challenges previous interpretations, especially the ethnocultural and pluralist interpretations and the application of critical election theory to the election. In disputing this theory, which claims that 1928 was a realigning election in which the coalitions were formed that dominated future elections, Lichtman determines that 1928 was an aberration with little impact on later political patterns.

Reporting data and predicting trends through the 2008 campaign, this classroom-tested volume offers again James E. Campbell's "theory of the predictable campaign," incorporating the fundamental conditions that systematically affect the presidential vote: political competition, presidential incumbency, and election-year economic conditions. Campbell's cogent thinking and clear style present students with a readable survey of presidential elections and political scientists' ways of studying them. The American Campaign also shows how and why journalists have mistakenly assigned a pattern of unpredictability and critical significance to the vagaries of individual campaigns. This excellent election-year text provides:a summary and assessment of each of the serious predictive models of presidential election outcomes;a historical summary of many of America's important presidential elections;a significant new contribution to the understanding of presidential campaigns and how they matter.

"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a

“The novel that foreshadowed Donald Trump’s authoritarian appeal.”—Salon It Can’t Happen Here is the only one of Sinclair Lewis’s later novels to match the power of Main Street, Babbitt, and Arrowsmith. A cautionary tale about the fragility of democracy, it is an alarming, eerily timeless look at how fascism could take hold in America. Written during the Great Depression, when the country was largely oblivious to Hitler’s aggression, it juxtaposes sharp political satire with the chillingly realistic rise of a president who becomes a dictator to save the nation from welfare cheats, sex, crime, and a liberal press. Called “a message to thinking Americans” by the Springfield Republican when it was published in 1935, It Can’t Happen Here is a shockingly prescient novel that remains as fresh and contemporary as today’s news. Includes an Introduction by Michael Meyer and an Afterword by Gary Scharnhorst