How To Lie With Statistics

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Do you want more free book summaries like this? Download our app for free at https://www.QuickRead.com/App and get access to hundreds of free book and audiobook summaries. Learn to identify how companies use statistics to deceive and manipulate the public. Today our news is bombarded with statistical information. We are given averages, percentages, and more, and are simply expected to trust these numbers without question. H.G. Wells understood the importance of understanding this information by stating, “Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.” Unfortunately, many in society don’t have a strong sense of statistical thinking, and writers take advantage of this by using the necessary vocabulary and numbers to dupe their readers. At first glance, numbers seem credible and trustworthy, but if you take a deeper look, you might find that there is more than meets the eye. Throughout How to Lie With Statistics, Darrell Huff shares the tricks writers use in statistics to their advantage. As you read, you’ll learn when it is statistically safest to drive, how to create the best sample in a study, and why counting all the beans is simply too hard.

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Winner of the Mavis Gallant Prize for Non-Fiction Winner of the 2017 National Business Book Award Shortlisted for the 2016/2017 Donner Prize From the bestselling author of The Organized Mind, the must-have book about how to analyze who and what to trust in the age of information overload. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, distortions and outright lies from reliable information? In A Field Guide to Lies, neuroscientist Daniel Levitin outlines the many pitfalls of the information age and provides the means to spot and avoid them. Levitin groups his field guide into two categories--statistical infomation and faulty arguments--ultimately showing how science is the bedrock of critical thinking. It is easy to lie with stats and graphs as few people "take the time to look under the hood and see how they work." And, just because there's a number on something, doesn't mean that the number was arrived at properly. Logic can help to evaluate whether or not a chain of reasoning is valid. And "infoliteracy" teaches us that not all sources of information are equal, and that biases can distort data. Faced with a world too eager to flood us with information, the best response is to be prepared. A Field Guide to Lies helps us avoid learning a lot of things that aren't true.

We’ve been told, again and again, that life is unfair. But what if we’re wrong simply to resign ourselves to this situation? What if we have the power—and more, the duty—to change society for the better? We do. And our very nature inclines us to do so. That’s the provocative argument Peter Corning makes in The Fair Society. Drawing on the evidence from our evolutionary history and the emergent science of human nature, Corning shows that we have an innate sense of fairness. While these impulses can easily be subverted by greed and demagoguery, they can also be harnessed for good. Corning brings together the latest findings from the behavioral and biological sciences to help us understand how to move beyond the Madoffs and Enrons in our midst in order to lay the foundation for a new social contract—a Biosocial Contract built on a deep understanding of human nature and a commitment to fairness. He then proposes a sweeping set of economic and political reforms based on three principles of fairness—equality, equity, and reciprocity—that together could transform our society and our world. At this crisis point for capitalism, Corning reveals that the proper response to bank bailouts and financial chicanery isn’t to get mad—it’s to get fair.

Originally published to wide acclaim, this lively, cleverly illustrated essay on the use and abuse of maps teaches us how to evaluate maps critically and promotes a healthy skepticism about these easy-to-manipulate models of reality. Monmonier shows that, despite their immense value, maps lie. In fact, they must. The second edition is updated with the addition of two new chapters, 10 color plates, and a new foreword by renowned geographer H. J. de Blij. One new chapter examines the role of national interest and cultural values in national mapping organizations, including the United States Geological Survey, while the other explores the new breed of multimedia, computer-based maps. To show how maps distort, Monmonier introduces basic principles of mapmaking, gives entertaining examples of the misuse of maps in situations from zoning disputes to census reports, and covers all the typical kinds of distortions from deliberate oversimplifications to the misleading use of color. "Professor Monmonier himself knows how to gain our attention; it is not in fact the lies in maps but their truth, if always approximate and incomplete, that he wants us to admire and use, even to draw for ourselves on the facile screen. His is an artful and funny book, which like any good map, packs plenty in little space."—Scientific American "A useful guide to a subject most people probably take too much for granted. It shows how map makers translate abstract data into eye-catching cartograms, as they are called. It combats cartographic illiteracy. It fights cartophobia. It may even teach you to find your way. For that alone, it seems worthwhile."—Christopher Lehmann-Haupt, The New York Times ". . . witty examination of how and why maps lie. [The book] conveys an important message about how statistics of any kind can be manipulated. But it also communicates much of the challenge, aesthetic appeal, and sheer fun of maps. Even those who hated geography in grammar school might well find a new enthusiasm for the subject after reading Monmonier's lively and surprising book."—Wilson Library Bulletin "A reading of this book will leave you much better defended against cheap atlases, shoddy journalism, unscrupulous advertisers, predatory special-interest groups, and others who may use or abuse maps at your expense."—John Van Pelt, Christian Science Monitor "Monmonier meets his goal admirably. . . . [His] book should be put on every map user's 'must read' list. It is informative and readable . . . a big step forward in helping us to understand how maps can mislead their readers."—Jeffrey S. Murray, Canadian Geographic