Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    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.

    His plenary address, 'Specters of Marx', delivered in two parts, forms the basis of this book. Hotly debated when it was first published, a rapidly changing world and world politics have scarcely dented the relevance of this book.

    What Are Universities For? offers a spirited and compelling argument for completely rethinking the way we see our universities, and why we need them.Stefan Collini challenges the common claim that universities need to show that they help to make money in order to justify getting more money. Instead, he argues that we must reflect on the different types of institution and the distinctive roles they play. In particular we must recognize that attempting to extend human understanding, which is at the heart of disciplined intellectual enquiry, can never be wholly harnessed to immediate social purposes - particularly in the case of the humanities, which both attract and puzzle many people and are therefore the most difficult subjects to justify.At a time when the future of higher education lies in the balance, What Are Universities For? offers all of us a better, deeper and more enlightened understanding of why universities matter, to everyone.

    Why do skeptical and relativistic arguments have such power in the contemporary intellectual world? Why do they have that power in the humanities but not in the sciences? Why has a significant portion of the political Left - the same Left that traditionally promoted reason, science, equality for all, and optimism - now switched to themes of anti-reason, anti-science, double standards, and cynicism? Explaining Postmodernism is intellectual history with a polemical twist, providing fresh insights into the debates underlying the furor over political correctness, multiculturalism, and the future of liberal democracy.

    In this unparalleled book, Marshall Berman takes account of the social changes that swept millions of people into the capitalist world and the impact of modernism on art, literature and architecture. This new edition contains an updated preface addressing the critical role the onset of modernism played in popular democratic upheavals in the late 1920s.

    This suggestion, coming from the pulpit, platform and press, has hypnotized the minds of men and proves to be one of the strongest pillars of exploitation. The history of the family dates from 1861, the year of the publication of Bachofen's Mutterrecht (maternal law) Engles makes the following propositions: 1. That in the beginning people lived in unrestricted sexual intercourse, which he dubs, not very felicitously, hetaerism. 2. That such an intercourse excludes any absolutely certain means of determining parentage; that consequently descent could only be traced by the female line in compliance with maternal law; and that this was universally practiced by all the nations of antiquity. 3. That consequently women as mothers, being the only well known parents of younger generations, received a high tribute of respect and deference, amounting to a complete women's rule (gynaicocracy), according to Bachofen's idea. 4. That the transition to monogamy, reserving a certain woman exclusively to one man, implied the violation of the primeval religious law (i.e., practically a violation of the customary right of all other men to the same woman), which violation had to be atoned for its permission purchased by the surrender of the women to the public for a limited time.

    Out of Control chronicles the dawn of a new era in which the machines and systems that drive our economy are so complex and autonomous as to be indistinguishable from living things.

    In A Generation of Sociopaths, Gibney examines the disastrous policies of the most powerful generation in modern history, showing how the Boomers ruthlessly enriched themselves at the expense of future generations.Acting without empathy, prudence, or respect for facts--acting, in other words, as sociopaths--the Boomers turned American dynamism into stagnation, inequality, and bipartisan fiasco. The Boomers have set a time bomb for the 2030s, when damage to Social Security, public finances, and the environment will become catastrophic and possibly irreversible--and when, not coincidentally, Boomers will be dying off. Gibney argues that younger generations have a fleeting window to hold the Boomers accountable and begin restoring America.

     For decades, technology encouraged people to squander their time and intellect as passive consumers. Today, tech has finally caught up with human potential. In Cognitive Surplus, Internet guru Clay Shirky forecasts the thrilling changes we will all enjoy as new digital technology puts our untapped resources of talent and goodwill to use at last. Since we Americans were suburbanized and educated by the postwar boom, we've had a surfeit of intellect, energy, and time-what Shirky calls a cognitive surplus. But this abundance had little impact on the common good because television consumed the lion's share of it-and we consume TV passively, in isolation from one another. Now, for the first time, people are embracing new media that allow us to pool our efforts at vanishingly low cost. The results of this aggregated effort range from mind expanding-reference tools like Wikipedia-to lifesaving-such as Ushahidi.com, which has allowed Kenyans to sidestep government censorship and report on acts of violence in real time. Shirky argues persuasively that this cognitive surplus-rather than being some strange new departure from normal behavior-actually returns our society to forms of collaboration that were natural to us up through the early twentieth century. He also charts the vast effects that our cognitive surplus- aided by new technologies-will have on twenty-first-century society, and how we can best exploit those effects. Shirky envisions an era of lower creative quality on average but greater innovation, an increase in transparency in all areas of society, and a dramatic rise in productivity that will transform our civilization. The potential impact of cognitive surplus is enormous. As Shirky points out, Wikipedia was built out of roughly 1 percent of the man-hours that Americans spend watching TV every year. Wikipedia and other current products of cognitive surplus are only the iceberg's tip. Shirky shows how society and our daily lives will be improved dramatically as we learn to exploit our goodwill and free time like never before.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    This reissue of a classic will reintroduce readers to Lévi-Strauss’s understanding of man and society in terms of individuals—kinship, social organization, religion, mythology, and art.

    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 second edition, newly introduced by Marcuse scholar Douglas Kellner, presents Marcuse's best-selling work to another generation of readers in the context of contemporary events.

    What is it, exactly, that transforms mere wealth into an asset that automatically creates more wealth? The Code of Capital explains how capital is created behind closed doors in the offices of private attorneys, and why this little-known fact is one of the biggest reasons for the widening wealth gap between the holders of capital and everybody else.In this revealing book, Katharina Pistor argues that the law selectively "codes" certain assets, endowing them with the capacity to protect and produce private wealth. With the right legal coding, any object, claim, or idea can be turned into capital-and lawyers are the keepers of the code. Pistor describes how they pick and choose among different legal systems and legal devices for the ones that best serve their clients' needs, and how techniques that were first perfected centuries ago to code landholdings as capital are being used today to code stocks, bonds, ideas, and even expectations-assets that exist only in law.A powerful new way of thinking about one of the most pernicious problems of our time, The Code of Capital explores the different ways that debt, complex financial products, and other assets are coded to give financial advantage to their holders. This provocative book paints a troubling portrait of the pervasive global nature of the code, the people who shape it, and the governments that enforce it.