Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. 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.

    In this explosive book, Bryan Caplan argues that the primary function of education is not to enhance students' skill but to certify their intelligence, work ethic, and conformity—in other words, to signal the qualities of a good employee. Learn why students hunt for easy As and casually forget most of what they learn after the final exam, why decades of growing access to education have not resulted in better jobs for the average worker but instead in runaway credential inflation, how employers reward workers for costly schooling they rarely if ever use, and why cutting education spending is the best remedy.Caplan draws on the latest social science to show how the labor market values grades over knowledge, and why the more education your rivals have, the more you need to impress employers. He explains why graduation is our society's top conformity signal, and why even the most useless degrees can certify employability. He advocates two major policy responses. The first is educational austerity. Government needs to sharply cut education funding to curb this wasteful rat race. The second is more vocational education, because practical skills are more socially valuable than teaching students how to outshine their peers.Romantic notions about education being "good for the soul" must yield to careful research and common sense — The Case against Education points the way.

    In Denialism, New Yorker staff writer Michael Specter reveals that Americans have come to mistrust institutions and especially the institution of science more today than ever before. For centuries, the general view had been that science is neither good nor bad—that it merely supplies information and that new information is always beneficial. Now, science is viewed as a political constituency that isn’t always in our best interest. We live in a world where the leaders of African nations prefer to let their citizens starve to death rather than import genetically modified grains. Childhood vaccines have proven to be the most effective public health measure in history, yet people march on Washington to protest their use. In the United States a growing series of studies show that dietary supplements and “natural” cures have almost no value, and often cause harm. We still spend billions of dollars on them. In hundreds of the best universities in the world, laboratories are anonymous, unmarked, and surrounded by platoons of security guards—such is the opposition to any research that includes experiments with animals. And pharmaceutical companies that just forty years ago were perhaps the most visible symbol of our remarkable advance against disease have increasingly been seen as callous corporations propelled solely by avarice and greed. As Michael Specter sees it, this amounts to a war against progress. The issues may be complex but the choices are not: Are we going to continue to embrace new technologies, along with acknowledging their limitations and threats, or are we ready to slink back into an era of magical thinking? In Denialism, Specter makes an argument for a new Enlightenment, the revival of an approach to the physical world that was stunningly effective for hundreds of years: What can be understood and reliably repeated by experiment is what nature regarded as true. Now, at the time of mankind’s greatest scientific advances—and our greatest need for them—that deal must be renewed.

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.

    This has always been the case, no matter how often that certainty has failed. Though no generation believes there’s nothing left to learn, every generation unconsciously assumes that what has already been defined and accepted is (probably) pretty close to how reality will be viewed in perpetuity. And then, of course, time passes. Ideas shift. Opinions invert. What once seemed reasonable eventually becomes absurd, replaced by modern perspectives that feel even more irrefutable and secure—until, of course, they don’t.But What If We’re Wrong? visualizes the contemporary world as it will appear to those who'll perceive it as the distant past. Chuck Klosterman asks questions that are profound in their simplicity: How certain are we about our understanding of gravity? How certain are we about our understanding of time? What will be the defining memory of rock music, five hundred years from today? How seriously should we view the content of our dreams? How seriously should we view the content of television? Are all sports destined for extinction? Is it possible that the greatest artist of our era is currently unknown (or—weirder still—widely known, but entirely disrespected)? Is it possible that we “overrate” democracy? And perhaps most disturbing, is it possible that we’ve reached the end of knowledge?Kinetically slingshotting through a broad spectrum of objective and subjective problems, But What If We’re Wrong? is built on interviews with a variety of creative thinkers—George Saunders, David Byrne, Jonathan Lethem, Kathryn Schulz, Neil deGrasse Tyson, Brian Greene, Junot Díaz, Amanda Petrusich, Ryan Adams, Nick Bostrom, Dan Carlin, and Richard Linklater, among others—interwoven with the type of high-wire humor and nontraditional analysis only Klosterman would dare to attempt. It’s a seemingly impossible achievement: a book about the things we cannot know, explained as if we did. It’s about how we live now, once “now” has become “then.”

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    Luce argues that we are on a menacing trajectory brought about by ignorance of what it took to build the West, arrogance towards society's economic losers, and complacency about our system's durability--attitudes that have been emerging since the fall of the Berlin Wall. We cannot move forward without a clear diagnosis of what has gone wrong. Unless the West can rekindle an economy that produces gains for the majority of its people, its political liberties may be doomed. The West's faith in history teaches us to take democracy for granted. Reality tells us something troublingly different.Combining on-the-ground reporting with intelligent synthesis of the literature and economic analysis, Luce offers a detailed projection of the consequences of the Trump administration, the rise of European populism, and a forward-thinking analysis of what those who believe in enlightenment values must do to defend them from the multiple onslaughts they face in the coming years.

    Armed with surprising data and endlessly fascinating examples, Adam Alter addresses the subtle but substantial ways in which outside forces influence us--such as color’s influence on mood, our bias in favor of names with which we identify, and how sunny days can induce optimism as well as aggression. Drunk Tank Pink proves that the truth behind our feelings and actions goes much deeper than the choices we take for granted every day.

    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

    Then came SuperFreakonomics, a documentary film, an award-winning podcast, and more.Now, with Think Like a Freak, Steven D. Levitt and Stephen J. Dubner have written their most revolutionary book yet. With their trademark blend of captivating storytelling and unconventional analysis, they take us inside their thought process and teach us all to think a bit more productively, more creatively, more rationally—to think, that is, like a Freak.Levitt and Dubner offer a blueprint for an entirely new way to solve problems, whether your interest lies in minor lifehacks or major global reforms. As always, no topic is off-limits. They range from business to philanthropy to sports to politics, all with the goal of retraining your brain. Along the way, you’ll learn the secrets of a Japanese hot-dog-eating champion, the reason an Australian doctor swallowed a batch of dangerous bacteria, and why Nigerian e-mail scammers make a point of saying they’re from Nigeria.Some of the steps toward thinking like a Freak:First, put away your moral compass—because it’s hard to see a problem clearly if you’ve already decided what to do about it.Learn to say “I don’t know”—for until you can admit what you don’t yet know, it’s virtually impossible to learn what you need to.Think like a child—because you’ll come up with better ideas and ask better questions.Take a master class in incentives—because for better or worse, incentives rule our world.Learn to persuade people who don’t want to be persuaded—because being right is rarely enough to carry the day.Learn to appreciate the upside of quitting—because you can’t solve tomorrow’s problem if you aren’t willing to abandon today’s dud.Levitt and Dubner plainly see the world like no one else. Now you can too. Never before have such iconoclastic thinkers been so revealing—and so much fun to read.

    Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

    The other books in the series are The Black Swan, Antifragile,and The Bed of Procrustes.

    In the wake of the Fail Decade, Americans have historically low levels of trust in their institutions; the social contract between ordinary citizens and elites lies in tatters.How did we get here? With Twilight of the Elites, Christopher Hayes offers a radically novel answer. Since the 1960s, as the meritocracy elevated a more diverse group of men and women into power, they learned to embrace the accelerating inequality that had placed them near the very top. Their ascension heightened social distance and spawned a new American elite--one more prone to failure and corruption than any that came before it.Mixing deft political analysis, timely social commentary, and deep historical understanding, Twilight of the Elites describes how the society we have come to inhabit – utterly forgiving at the top and relentlessly punitive at the bottom – produces leaders who are out of touch with the people they have been trusted to govern. Hayes argues that the public's failure to trust the federal government, corporate America, and the media has led to a crisis of authority that threatens to engulf not just our politics but our day-to-day lives.Upending well-worn ideological and partisan categories, Hayes entirely reorients our perspective on our times. Twilight of the Elites is the defining work of social criticism for the post-bailout age.