Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers.

In this sequel to the acclaimed Damned Lies and Statistics, which the Boston Globe said "deserves a place next to the dictionary on every school, media, and home-office desk," Joel Best continues his straightforward, lively, and humorous account of how statistics are produced, used, and misused by everyone from researchers to journalists. Underlining the importance of critical thinking in all matters numerical, Best illustrates his points with examples of good and bad statistics about such contemporary concerns as school shootings, fatal hospital errors, bullying, teen suicides, deaths at the World Trade Center, college ratings, the risks of divorce, racial profiling, and fatalities caused by falling coconuts. More Damned Lies and Statistics encourages all of us to think in a more sophisticated and skeptical manner about how statistics are used to promote causes, create fear, and advance particular points of view. Best identifies different sorts of numbers that shape how we think about public issues: missing numbers are relevant but overlooked; confusing numbers bewilder when they should inform; scary numbers play to our fears about the present and the future; authoritative numbers demand respect they don’t deserve; magical numbers promise unrealistic, simple solutions to complex problems; and contentious numbers become the focus of data duels and stat wars. The author's use of pertinent, socially important examples documents the life-altering consequences of understanding or misunderstanding statistical information. He demystifies statistical measures by explaining in straightforward prose how decisions are made about what to count and what not to count, what assumptions get made, and which figures are brought to our attention. Best identifies different sorts of numbers that shape how we think about public issues. Entertaining, enlightening, and very timely, this book offers a basis for critical thinking about the numbers we encounter and a reminder that when it comes to the news, people count—in more ways than one.

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.

Revised and updated edition that analyses how the Office of National Drug Control Policy employs statistics to misleadingly claim the War on Drugs is a success. First published in 2007, Lies, Damned Lies, and Drug War Statistics critically analyzed claims made by the Office of National Drug Control Policy (ONDCP), the White House agency of accountability in the nation’s drug war since 1989, as found in the six editions of the annual National Drug Control Strategy between 2000 and 2005. In this revised and updated second edition of their critically acclaimed work, Matthew B. Robinson and Renee G. Scherlen examine seven more recent editions (2006–2012) to once again determine if ONDCP accurately and honestly presents information or intentionally distorts evidence to justify continuing the drug war. They uncover the many ways in which ONDCP manipulates statistics and visually presents that information to the public. Their analysis demonstrates a drug war that consistently fails to reduce drug use, drug fatalities, or illnesses associated with drug use; fails to provide treatment for drug-dependent users; and drives up the prices of drugs. They conclude with policy recommendations for reforming ONDCP’s use of statistics, as well as how the nation fights the war on drugs. Praise for the First Edition “Lies, Damned Lies, and Drug War Statistics is surprisingly easy to read, and Robinson and Scherlen have done a huge favor not only to critics of current drug policy by compiling this damning critique of ONDCP claims, but also to anyone interested in how data is compiled, presented, and misused by bureaucrats attempting to guard their domains. It should be required reading for members of Congress.” — Drug War Chronicle Book Review “The authors have performed a valuable service to our democracy with their meticulous analysis of the White House ONDCP public statements and reports. They have pulled the sheet off what appears to be an official policy of deception using clever and sometimes clumsy attempts at statistical manipulation. This document, at last, gives us a map of the truth.” — Mike Gray, author of Drug Crazy: How We Got into This Mess and How We Can Get Out “Robinson and Scherlen make a valuable contribution to documenting how ONDCP fails to live up to basic standards of accountability and consistency.” — Ethan Nadelmann, Executive Director, Drug Policy Alliance

“Comprehensive, readable, and replete with current, useful examples, this book provides a much-needed explanation of how to be a critical consumer of the scientific claims we encounter in our everyday lives.” —April Cordero Maskiewicz, Department of Biology, Point Loma Nazarene University “Seethaler’s book helps the reader look inside the workings of science and gain a deeper understanding of the pathway that is followed by a scientific finding—from its beginnings in a research lab to its appearance on the nightly news.” —Jim Slotta, Ontario Institute for Studies in Education, University of Toronto “How I wish science was taught this way! Seethaler builds skills for critical thinking and evaluation. The book is rich with examples that not only illustrate her points beautifully, they also make it very interesting and fun to read.” —Julia R. Brown, Director, Targacept, Inc. Don’t Get Hoodwinked! Make Sense of Health and Science News...and Make Smarter Decisions! Every day, there’s a new scientific or health controversy. And every day, it seems as if there’s a new study that contradicts what you heard yesterday. What’s really going on? Who’s telling the truth? Who’s faking it? What do scientists actually know–and what don’t they know? This book will help you cut through the confusion and make sense of it all–even if you’ve never taken a science class! Leading science educator and journalist Dr. Sherry Seethaler reveals how science and health research really work...how to put scientific claims in context and understand the real tradeoffs involved...tell quality research from junk science...discover when someone’s deliberately trying to fool you...and find more information you can trust! Nobody knows what new controversy will erupt tomorrow. But one thing’s for certain: With this book, you’ll know how to figure out the real deal–and make smarter decisions for yourself and your family! Watch the news, and you’ll be overwhelmed by snippets of badly presented science: information that’s incomplete, confusing, contradictory, out-of-context, wrong, or flat-out dishonest. Defend yourself! Dr. Sherry Seethaler gives you a powerful arsenal of tools for making sense of science. You’ll learn how to think more sensibly about everything from mad cow disease to global warming—and how to make better science-related decisions in both your personal life and as a citizen. You’ll begin by understanding how science really works and progresses, and why scientists sometimes disagree. Seethaler helps you assess the possible biases of those who make scientific claims in the media, and place scientific issues in appropriate context, so you can intelligently assess tradeoffs. You’ll learn how to determine whether a new study is really meaningful; uncover the difference between cause and coincidence; figure out which statistics mean something, and which don’t. Seethaler reveals the tricks self-interested players use to mislead and confuse you, and points you to sources of information you can actually rely upon. Her many examples range from genetic engineering of crops to drug treatments for depression...but the techniques she teaches you will be invaluable in understanding any scientific controversy, in any area of science or health. ^ Potions, plots, and personalities: How science progresses, and why scientists sometimes disagree ^ Is it “cause” or merely coincidence? How to tell compelling evidence from a “good story” ^ There are always tradeoffs: How to put science and health claims in context, and understand their real implications ^ All the tricks experts use to fool you, exposed! How to recognize lies, “truthiness,” or pseudo-expertise

An intro to statistics.

This edition updates benchmarks, includes a new chapter on rhetoric, updated a few examples, and thoroughly updated the bibliography.

Tukufu Zuberi offers a concise account of the historical connections between the development of the idea of race and the birth of social statistics. Zuberi describes the ways race-differentiated data is misinterpreted in the social sciences and asks searching questions about the ways racial statistics are used. He argues that statistical analysis can and must be deracialized, and that this deracialization is essential to the goal of achieving social justice for all.

We've been told, again and again, that life is unfair. But what if we're wrong simply to resign ourselves to this situation? Drawing on the evidence from our evolutionary history and the emergent science of human nature, this title shows that we have an innate sense of fairness.