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.

    It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler s second pillar, information measurement, challenges the importance of big data by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is likelihood, the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of experimental design for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the residual the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily.The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician."

    From creating brand value to fine-tuning customer service, the folks running cartels have been attentive students of the strategy and tactics used by corporations such as Walmart, McDonald's, and Coca-Cola.     And what can government learn to combat this scourge? By analyzing the cartels as companies, law enforcers might better understand how they work—and stop throwing away 100 billion a year in a futile effort to win the “war” against this global, highly organized business.     Your intrepid guide to the most exotic and brutal industry on earth is Tom Wainwright. Picking his way through Andean cocaine fields, Central American prisons, Colorado pot shops, and the online drug dens of the Dark Web, Wainwright provides a fresh, innovative look into the drug trade and its 250 million customers.     The cast of characters includes “Bin Laden,” the Bolivian coca guide; “Old Lin,” the Salvadoran gang leader; “Starboy,” the millionaire New Zealand pill maker; and a cozy Mexican grandmother who cooks blueberry pancakes while plotting murder. Along with presidents, cops, and teenage hitmen, they explain such matters as the business purpose for head-to-toe tattoos, how gangs decide whether to compete or collude, and why cartels care a surprising amount about corporate social responsibility.More than just an investigation of how drug cartels do business, Narconomics is also a blueprint for how to defeat them.

    With its unique combination of Japanese-style comics called manga and serious educational content, the EduManga format is already a hit in Japan.In The Manga Guide to Statistics, our heroine Rui is determined to learn about statistics to impress the dreamy Mr. Igarashi and begs her father for a tutor. Soon she's spending her Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics: topics like data categorization, averages, graphing, and standard deviation.After all her studying, Rui is confident in her knowledge of statistics, including complex concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her?Reluctant statistics students of all ages will enjoy learning along with Rui in this charming, easy-to-read guide, which uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices. Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice.This EduManga book is a translation from a bestselling series in Japan, co-published with Ohmsha, Ltd. of Tokyo, Japan.

    Friedman, the Pulitzer Prize-winning foreign affairs columnist for The New York Times, offers an engrossing look at the new international system that is transforming world affairs today. Globalization has replaced the Cold War system with the integration of capital, technology, and information across national borders—uniting Brazilian peasants, Indonesian entrepreneurs, Chinese villagers, and Silicon Valley technocrats in a single global village. You cannot understand the morning news, know where to invest your money, or think about the future unless you understand this new system, which is profoundly influencing virtually every country in the world today. Friedman tells you what this electronic global economy is all about and what it will take to live within it.With vivid stories drawn from his extensive travels, he dramatizes the conflict of “the Lexus and the olive tree”—the tension between the globalization system and the ancient forces of culture, geography, tradition, and community. He also details the powerful backlash that globalization produces among those who feel brutalized by it, and he spells out what we all need to do to keep the Lexus and the olive tree in balance. For this new paperback edition, Friedman has substantially expanded and updated his provocative analysis, making it essential reading for all who care about how the world works now.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Reich, and now he reveals the cycles of power and influence that have perpetuated a new American oligarchy, a shrinking middle class, and the greatest income inequality and wealth disparity in eighty years. He makes clear how centrally problematic our veneration of the "free market" is, and how it has masked the power of the moneyed interests to tilt the market to their benefit. He exposes the falsehoods that have been bolstered by the corruption of our democracy by big corporations and the revolving door between Washington and Wall Street-- that all workers are paid what they're "worth," a higher minimum wage equals fewer jobs, corporations must serve shareholders before employees. Ever the pragmatist, Reich sees hope for reversing our slide toward inequality and diminished opportunity by shoring up the countervailing power of everyone else. Here is a revelatory indictment of our economic status quo and an empowering call to civic action.

    For nearly five centuries the methods and practices of book publishing remained largely unchanged, but at the dawn of the twenty-first century the industry finds itself faced with perhaps the greatest challenges since Gutenberg. A combination of economic pressures and technological change is forcing publishers to alter their practices and think hard about the future of the books in the digital age.In this book - the first major study of trade publishing for more than 30 years - Thompson situates the current challenges facing the industry in an historical context, analysing the transformation of trade publishing in the United States and Britain since the 1960s. He gives a detailed account of how the world of trade publishing really works, dissecting the roles of publishers, agents and booksellers and showing how their practices are shaped by a field that has a distinctive structure and dynamic. This new paperback edition has been thoroughly revised and updated to take account of the most recent developments, including the dramatic increase in ebook sales and its implications for the publishing industry and its future.

    In-depth explorations of the derivative, the differentiation and integration of the powers of x, and theorems on differentiation and antidifferentiation lead to a definition of the chain rule and examinations of trigonometric functions, logarithmic and exponential functions, techniques of integration, polar coordinates, much more. Clear-cut explanations, numerous drills, illustrative examples. 1967 edition. Solution guide available upon request.

    From randomized clinical trials in medical research, to statistical models of risk in banking and hedge fund industries, to the statistical tools used to probe vast astronomical databases, the field of statistics has become centrally important to how we understand our world. But the discipline underlying all these is not the dull statistics of the popular imagination. Long gone are the days of manual arithmetic manipulation. Nowadays statistics is a dynamic discipline, revolutionized by the computer, which uses advanced software tools to probe numerical data, seeking structures, patterns, and relationships. This Very Short Introduction sets the study of statistics in context, describing its history and giving examples of its impact, summarizes methods of gathering and evaluating data, and explains the role played by the science of chance, of probability, in statistical methods. The book also explores deep philosophical issues of induction--how we use statistics to discern the true nature of reality from the limited observations we necessarily must make.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    Each time, the experts have chimed, "this time is different"--claiming that the old rules of valuation no longer apply and that the new situation bears little similarity to past disasters. With this breakthrough study, leading economists Carmen Reinhart and Kenneth Rogoff definitively prove them wrong. Covering sixty-six countries across five continents, This Time Is Different presents a comprehensive look at the varieties of financial crises, and guides us through eight astonishing centuries of government defaults, banking panics, and inflationary spikes--from medieval currency debasements to today's subprime catastrophe. Carmen Reinhart and Kenneth Rogoff, leading economists whose work has been influential in the policy debate concerning the current financial crisis, provocatively argue that financial combustions are universal rites of passage for emerging and established market nations. The authors draw important lessons from history to show us how much--or how little--we have learned. Using clear, sharp analysis and comprehensive data, Reinhart and Rogoff document that financial fallouts occur in clusters and strike with surprisingly consistent frequency, duration, and ferocity. They examine the patterns of currency crashes, high and hyperinflation, and government defaults on international and domestic debts--as well as the cycles in housing and equity prices, capital flows, unemployment, and government revenues around these crises. While countries do weather their financial storms, Reinhart and Rogoff prove that short memories make it all too easy for crises to recur. An important book that will affect policy discussions for a long time to come, This Time Is Different exposes centuries of financial missteps.

    In his most widely appealing book yet, one of today's leading authors of popular anthropology looks at the intriguing history and peculiar nature of money, tracing our relationship with it from the time when primitive men exchanged cowrie shells to the imminent arrival of the all-purpose electronic cash card.

    None of these factors is either definitive or destiny. Otherwise, how to explain why Botswana has become one of the fastest growing countries in the world, while other African nations, such as Zimbabwe, the Congo, and Sierra Leone, are mired in poverty and violence? Daron Acemoglu and James Robinson conclusively show that it is man-made political and economic institutions that underlie economic success (or lack of it). Korea, to take just one of their fascinating examples, is a remarkably homogeneous nation, yet the people of North Korea are among the poorest on earth while their brothers and sisters in South Korea are among the richest. The south forged a society that created incentives, rewarded innovation, and allowed everyone to participate in economic opportunities. The economic success thus spurred was sustained because the government became accountable and responsive to citizens and the great mass of people. Sadly, the people of the north have endured decades of famine, political repression, and very different economic institutions—with no end in sight. The differences between the Koreas is due to the politics that created these completely different institutional trajectories. Based on fifteen years of original research Acemoglu and Robinson marshall extraordinary historical evidence from the Roman Empire, the Mayan city-states, medieval Venice, the Soviet Union, Latin America, England, Europe, the United States, and Africa to build a new theory of political economy with great relevance for the big questions of today, including:    - China has built an authoritarian growth machine. Will it continue to grow at such high speed and overwhelm the West?    - Are America’s best days behind it? Are we moving from a virtuous circle in which efforts by elites to aggrandize power are resisted to a vicious one that enriches and empowers a small minority?    - What is the most effective way to help move billions of people from the rut of poverty to prosperity? More philanthropy from the wealthy nations of the West? Or learning the hard-won lessons of Acemoglu and Robinson’s breakthrough ideas on the interplay between inclusive political and economic institutions? Why Nations Fail will change the way you look at—and understand—the world.