With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

    With the completion of their life's work they look back and ask what history has to say about the nature, the conduct and the prospects of man, seeking in the great lives, the great ideas, the great events of the past for the meaning of man's long journey through war, conquest and creation - and for the great themes that can help us to understand our own era.To the Durants, history is "not merely a warning reminder of man's follies and crimes, but also an encouraging remembrance of generative souls ... a spacious country of the mind wherein a thousand saints, statesman, inventors, scientists, poets, artists, musicians, lovers, and philosophers still live and speak, teach and carve and sing..."Designed to accompany the ten-volume set of "The Story of Civilization, The Lessons of History" is, in its own right, a profound and original work of history and philosophy.

    It is readable enough for people with no prior knowledge of economics. Yet the empirical evidence with which it backs up its analysis spans the globe and challenges beliefs across the ideological spectrum.The point of Discrimination and Disparities is not to recommend some particular policy "fix" at the end, but to clarify why so many policy fixes have turned out to be counterproductive, and to expose some seemingly invincible fallacies behind many counterproductive policies.The final chapter deals with social visions and their human consequences.

    By talking through a hundred or so items, Mike Berners-Lee sets out to give us a carbon instinct for the footprint of literally anything we do, buy and think about. He helps us pick our battles by laying out the orders of magnitude. The book ranges from the everyday (foods, books, plastic bags, bikes, flights, baths...) and the global (deforestation, data centres, rice production, the World Cup, volcanoes, ...) Be warned, some of the things you thought you knew about green living may be about to be turned on their head. Never preachy but packed full of information and always entertaining.

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    Written not from a post-crisis perspective – but from a preventative point of view – this book traces the development of financial derivatives from bonds to credit default swaps, and shows how mathematical formulas went beyond pricing to expand their use to the point where they dwarfed the real economy. You'll learn how the deadly allure of their ice-cold beauty has misled generations of economists and investors, and how continued reliance on these formulas can either assist future economic development, or send the global economy into the financial equivalent of a cardiac arrest. Rather than rehash tales of post-crisis fallout, this book focuses on preventing the next one. By exploring the heart of the shadow economy, you'll be better prepared to ride the rough waves of finance into the turbulent future. Delve into one of the world's least-understood but highest-impact industries Understand the key principles of quantitative finance and the evolution of the field Learn what quantitative finance has become, and how it affects us all Discover how the industry's next steps dictate the economy's future How do you create a quadrillion dollars out of nothing, blow it away and leave a hole so large that even years of "quantitative easing" can't fill it – and then go back to doing the same thing? Even amidst global recovery, the financial system still has the potential to seize up at any moment. The Money Formula explores the how and why of financial disaster, what must happen to prevent the next one.

    And yet, we are the safest and healthiest humans in history. Irrational fear seems to be taking over, often with tragic results. For example, in the months after 9/11, when people decided to drive instead of fly—believing they were avoiding risk—road deaths rose by more than 1,500. In this fascinating, lucid, and thoroughly entertaining examination of how humans process risk, journalist Dan Gardner had the exclusive cooperation of Paul Slovic, the world renowned risk-science pioneer, as he reveals how our hunter gatherer brains struggle to make sense of a world utterly unlike the one that made them. Filled with illuminating real world examples, interviews with experts, and fast-paced, lean storytelling, The Science of Fear shows why it is truer than ever that the worst thing we have to fear is fear itself.

    These are the very same behaviors that typify good soldiering and foster a sense of belonging among troops, whether they’re fighting on the front lines or engaged in non-combat activities away from the action. Drawing from history, psychology, and anthropology, bestselling author Sebastian Junger shows us just how at odds the structure of modern society is with our tribal instincts, arguing that the difficulties many veterans face upon returning home from war do not stem entirely from the trauma they’ve suffered, but also from the individualist societies they must reintegrate into.A 2011 study by the Canadian Forces and Statistics Canada reveals that 78 percent of military suicides from 1972 to the end of 2006 involved veterans. Though these numbers present an implicit call to action, the government is only just taking steps now to address the problems veterans face when they return home. But can the government ever truly eliminate the challenges faced by returning veterans? Or is the problem deeper, woven into the very fabric of our modern existence? Perhaps our circumstances are not so bleak, and simply understanding that beneath our modern guises we all belong to one tribe or another would help us face not just the problems of our nation but of our individual lives as well.Well-researched and compellingly written, this timely look at how veterans react to coming home will reconceive our approach to veteran’s affairs and help us to repair our current social dynamic.

    While this has had the positive effect of equalizing access to knowledge, it also has lowered the bar on what depth of knowledge is required to consider oneself an "expert." A cult of anti-expertise sentiment has coincided with anti-intellectualism, resulting in massively viral yet poorly informed debates ranging from the anti-vaccination movement to attacks on GMOs. This surge in intellectual egalitarianism has altered the landscape of debates-all voices are equal, and "fact" is a subjective term. Browsing WebMD puts one on equal footing with doctors, and Wikipedia allows all to be foreign policy experts, scientists, and more. As Tom Nichols shows in The Death of Expertise, there are a number of reasons why this has occurred-ranging from easy access to Internet search engines to a customer satisfaction model within higher education. The product of these interrelated trends, Nichols argues, is a pervasive distrust of expertise among the public coinciding with an unfounded belief among non-experts that their opinions should have equal standing with those of the experts. The experts are not always right, of course, and Nichols discusses expert failure. The crucial point is that bad decisions by experts can and have been effectively challenged by other well-informed experts. The issue now is that the democratization of information dissemination has created an army of ill-informed citizens who denounce expertise.When challenged, non-experts resort to the false argument that the experts are often wrong. Though it may be true, but the solution is not to jettison expertise as an ideal; it is to improve our expertise. Nichols is certainly not opposed to information democratization, but rather the enlightenment people believe they achieve after superficial internet research. He shows in vivid detail the ways in which this impulse is coursing through our culture and body politic, but the larger goal is to explain the benefits that expertise and rigorous learning regimes bestow upon all societies.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    Babies were plentiful, workers outnumbered retirees, and people aspiring towards the middle class yearned to own homes and cars. Companies didn't need to see any further than Europe and the United States to do well. Printed money was legal tender for all debts, public and private. We grew up learning how to "play the game," and we expected the rules to remain the same as we took our first job, started a family, saw our children grow up, and went into retirement with our finances secure.That world—and those rules—are over.By 2030, a new reality will take hold, and before you know it:- There will be more grandparents than grandchildren- The middle-class in Asia and Sub-Saharan Africa will outnumber the US and Europe combined- The global economy will be driven by the non-Western consumer for the first time in modern history- There will be more global wealth owned by women than men- There will be more robots than workers- There will be more computers than human brains- There will be more currencies than countriesAll these trends, currently underway, will converge in the year 2030 and change everything you know about culture, the economy, and the world.According to Mauro F. Guillen, the only way to truly understand the global transformations underway—and their impacts—is to think laterally. That is, using “peripheral vision,” or approaching problems creatively and from unorthodox points of view. Rather than focusing on a single trend—climate-change or the rise of illiberal regimes, for example—Guillen encourages us to consider the dynamic inter-play between a range of forces that will converge on a single tipping point—2030—that will be, for better or worse, the point of no return.2030 is both a remarkable guide to the coming changes and an exercise in the power of “lateral thinking,” thereby revolutionizing the way you think about cataclysmic change and its consequences.

    Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.In AI Superpowers, Kai-Fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not.  But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    Many of our wisest policy-makers, activists, scientists, and philosophers agree that the only problem with empathy is that we don’t have enough of it.Nothing could be farther from the truth, argues Yale researcher Paul Bloom. In AGAINST EMPATHY, Bloom reveals empathy to be one of the leading motivators of inequality and immorality in society. Far from helping us to improve the lives of others, empathy is a capricious and irrational emotion that appeals to our narrow prejudices. It muddles our judgment and, ironically, often leads to cruelty. We are at our best when we are smart enough not to rely on it, but to draw instead upon a more distanced compassion.Basing his argument on groundbreaking scientific findings, Bloom makes the case that some of the worst decisions made by individuals and nations—who to give money to, when to go to war, how to respond to climate change, and who to imprison—are too often motivated by honest, yet misplaced, emotions. With precision and wit, he demonstrates how empathy distorts our judgment in every aspect of our lives, from philanthropy and charity to the justice system; from medical care and education to parenting and marriage. Without empathy, Bloom insists, our decisions would be clearer, fairer, and—yes—ultimately more moral.Brilliantly argued, urgent and humane, AGAINST EMPATHY shows us that, when it comes to both major policy decisions and the choices we make in our everyday lives, limiting our impulse toward empathy is often the most compassionate choice we can make.

    Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.