Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure anything better, to gain that insight, to make progress, and to succeed." -Peter Tippett, PhD, M.D. Chief Technology Officer at CyberTrust and inventor of the first antivirus software "Doug Hubbard has provided an easy-to-read, demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions. We encourage our clients to try his powerful, practical techniques." -Peter Schay EVP and COO of The Advisory Council "As a reader you soon realize that actually everything can be measured while learning how to measure only what matters. This book cuts through conventional cliches and business rhetoric and offers practical steps to using measurements as a tool for better decision making. Hubbard bridges the gaps to make college statistics relevant and valuable for business decisions." -Ray Gilbert EVP Lucent "This book is remarkable in its range of measurement applications and its clarity of style. A must-read for every professional who has ever exclaimed, 'Sure, that concept is important, but can we measure it?'" -Dr. Jack Stenner Cofounder and CEO of MetraMetrics, Inc.

    This is one of the biggest debates in economics and the value or futility of investment management and financial regulation hang on the outcome. In this groundbreaking book, Andrew Lo cuts through this debate with a new framework, the Adaptive Markets Hypothesis, in which rationality and irrationality coexist.Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency isn't wrong but merely incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo's new paradigm explains how financial evolution shapes behavior and markets at the speed of thought--a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation.A fascinating intellectual journey filled with compelling stories, Adaptive Markets starts with the origins of market efficiency and its failures, turns to the foundations of investor behavior, and concludes with practical implications--including how hedge funds have become the Galapagos Islands of finance, what really happened in the 2008 meltdown, and how we might avoid future crises.An ambitious new answer to fundamental questions in economics, Adaptive Markets is essential reading for anyone who wants to know how markets really work.

    In a series of startling experiments, Canadian scientist Dr. John Coates identified a feedback loop between testosterone and success that dramatically lowers the fear of risk in men, especially young men; he has vividly dubbed the moment when traders transform into exuberant high flyers "the hour between dog and wolf." Similarly, intense failure leads to a rise in levels of cortisol, which dramatically lowers the appetite for risk. His book expands on his seminal research to offer lessons from the exploding new field studying the biology of risk. Coates's conclusions shed light on all types of high-pressure decision-making, from the sports field to the battlefield, and leaves us with a powerful recognition: to handle risk isn't a matter of mind over body, it's a matter of mind and body working together. We all have it in us to be transformed from dog to wolf; the only question is whether we can understand the causes and the consequences.

    This is our culture’s image of the perfect self. We see this person everywhere: in advertising, in the press, all over social media. We’re told that to be this person you just have to follow your dreams, that our potential is limitless, that we are the source of our own success. But this model of the perfect self can be extremely dangerous. People are suffering under the torture of this impossible fantasy. Unprecedented social pressure is leading to increases in depression and suicide. Where does this ideal come from? Why is it so powerful? Is there any way to break its spell? To answer these questions, Selfie by Will Storr takes us from the shores of Ancient Greece, through the Christian Middle Ages, to the self-esteem evangelists of 1980s California, the rise of narcissism and the selfie generation, and right up to the era of hyper-individualistic neoliberalism in which we live now. It tells the extraordinary story of the person we all know so intimately – our self.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    If you’ve ever sought a job or hired someone, applied to college or guided your child into a good kindergarten, asked someone out on a date or been asked out, you’ve participated in a kind of market. Most of the study of economics deals with commodity markets, where the price of a good connects sellers and buyers. But what about other kinds of “goods,” like a spot in the Yale freshman class or a position at Google? This is the territory of matching markets, where “sellers” and “buyers” must choose each other, and price isn’t the only factor determining who gets what.Alvin E. Roth is one of the world’s leading experts on matching markets. He has even designed several of them, including the exchange that places medical students in residencies and the system that increases the number of kidney transplants by better matching donors to patients. In Who Gets What — And Why, Roth reveals the matching markets hidden around us and shows how to recognize a good match and make smarter, more confident decisions.

    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

    A rich tapestry of anecdotes, object lessons, parodies, insights, and predictions, The Cluetrain Manifesto illustrates how the Internet has radically reframed the seemingly immutable laws of business--and what business needs to know to weather the seismic aftershocks.

    Everyone who wants to make the world a better place becomes possessed by a grand idea.But what does it take to turn your idea into action?  Whether you are an entrepreneur, intrapreneur, or not-for-profit crusader, there’s no shortage of advice available on issues such as writing a business plan, recruiting, raising capital, and branding. In fact, there are so many books, articles, and Web sites that many startups get bogged down to the point of paralysis. Or else they focus on the wrong priorities and go broke before they discover their mistakes. In The Art of the Start, Guy Kawasaki brings two decades of experience as one of business’s most original and irreverent strategists to offer the essential guide for anyone starting anything, from a multinational corporation to a church group. At Apple in the 1980s, he helped lead one of the great companies of the century, turning ordinary consumers into evangelists. As founder and CEO of Garage Technology Ventures, a venture capital firm, he has field-tested his ideas with dozens of newly hatched companies. And as the author of bestselling business books and articles, he has advised thousands of people who are making their startup dreams real. From raising money to hiring the right people, from defining your positioning to creating a brand, from creating buzz to buzzing the competition, from managing a board to fostering a community, this book will guide you through an adventure that’s more art than science—the art of the start.

    

    We don't do a chemical analysis on food we eat.Trust and cooperation are the first problems we had to solve before we could become a social species. In the 21st century, they have become the most important problems we need to solve — again. Our global society has become so large and complex that our traditional trust mechanisms no longer work.Bruce Schneier, world-renowned for his level-headed thinking on security and technology, tackles this complex subject head-on. Society can't function without trust, and yet must function even when people are untrustworthy.Liars and Outliers reaches across academic disciplines to develop an understanding of trust, cooperation, and social stability. From the subtle social cues we use to recognize trustworthy people to the laws that punish the noncompliant, from the way our brains reward our honesty to the bank vaults that keep out the dishonest, keeping people cooperative is a delicate balance of rewards and punishments. It's a series of evolutionary tricks, social pressures, legal mechanisms, and physical barriers.In the absence of personal relationships, we have no choice but to substitute security for trust, compliance for trustworthiness. This progression has enabled society to scale to unprecedented complexity, but has also permitted massive global failures.At the same time, too much cooperation is bad. Without some level of rule-breaking, innovation and social progress become impossible. Society stagnates.Today's problems require new thinking, and Liars and Outliers provides that. It is essential that we learn to think clearly about trust. Our future depends on it.

    It proposes enlightening similarities between, for instance, maneuvering in limited war and in a traffic jam; deterring the Russians and one's own children; the modern strategy of terror and the ancient institution of hostages.

    Late fees were ubiquitous, video-streaming unheard was of, and widespread DVD adoption seemed about as imminent as flying cars. Indeed, these were the widely accepted laws of the land in 1997, when Marc Randolph had an idea. It was a simple thought—leveraging the internet to rent movies—and was just one of many more and far worse proposals, like personalized baseball bats and a shampoo delivery service, that Randolph would pitch to his business partner, Reed Hastings, on their commute to work each morning.But Hastings was intrigued, and the pair—with Hastings as the primary investor and Randolph as the CEO—founded a company. Now with over 150 million subscribers, Netflix's triumph feels inevitable, but the twenty first century's most disruptive start up began with few believers and calamity at every turn. From having to pitch his own mother on being an early investor, to the motel conference room that served as a first office, to server crashes on launch day, to the now-infamous meeting when Netflix brass pitched Blockbuster to acquire them, Marc Randolph's transformational journey exemplifies how anyone with grit, gut instincts, and determination can change the world—even with an idea that many think will never work.What emerges, though, isn't just the inside story of one of the world's most iconic companies. Full of counter-intuitive concepts and written in binge-worthy prose, it answers some of our most fundamental questions about taking that leap of faith in business or in life: How do you begin? How do you weather disappointment and failure? How do you deal with success? What even is success?From idea generation to team building to knowing when it's time to let go, That Will Never Work is not only the ultimate follow-your-dreams parable, but also one of the most dramatic and insightful entrepreneurial stories of our time.

    But it is also much more, having become a fundamental influence on modern “libertarian” economics of the type espoused by Ron Paul and others.Considered among the leading economic thinkers of the “Austrian School,” which includes Carl Menger, Ludwig von Mises, Friedrich (F.A.) Hayek, and others, Henry Hazlitt (1894-1993), was a libertarian philosopher, an economist, and a journalist. He was the founding vice-president of the Foundation for Economic Education and an early editor of The Freeman magazine, an influential libertarian publication.  Hazlitt wrote Economics in One Lesson, his seminal work, in 1946. Concise and instructive, it is also deceptively prescient and far-reaching in its efforts to dissemble economic fallacies that are so prevalent they have almost become a new orthodoxy.Many current economic commentators across the political spectrum have credited Hazlitt with foreseeing the collapse of the global economy which occurred more than 50 years after the initial publication of Economics in One Lesson. Hazlitt’s focus on non-governmental solutions, strong — and strongly reasoned — anti-deficit position, and general emphasis on free markets, economic liberty of individuals, and the dangers of government intervention make Economics in One Lesson, every bit as relevant and valuable today as it has been since publication.

    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.