Does a young person commit suicide every thirteen minutes in the United States? Are four million women really battered to death by their husbands or boyfriends each year? Is methamphetamine our number one drug problem today? Alarming statistics bombard our daily lives, appearing in the news, on the Web, seemingly everywhere. But all too often, even the most respected publications present numbers that are miscalculated, misinterpreted, hyped, or simply misleading.
This new edition contains revised benchmark statistics, updated resources, and a new section on the rhetorical uses of statistics, complete with new problems to be spotted and new examples illustrating those problems. Joel Best’s best seller exposes questionable uses of statistics and guides the reader toward becoming a more critical, savvy consumer of news, information, and data.
Entertaining, informative, and concise, Stat-Spotting takes a commonsense approach to understanding data and doesn't require advanced math or statistics.
PREFACE TO THE 2013 EDITION
PART 1. GETTING STARTED
A. SPOTTING QUESTIONABLE NUMBERS
B.1 Statistical Benchmarks
B.2 Severity and Frequency
PART 2. VARIETIES OF DUBIOUS DATA
C.1 The Slippery Decimal Point
C.2 Botched Translations
C.3 Misleading Graphs
C.4 Careless Calculations
D. SOURCES: WHO COUNTED–AND WHY?
D.1 Big Round Numbers
D.3 Shocking Claims
D.4 Naming the Problem
E. DEFINITIONS: WHAT DID THEY COUNT?
E.1 Broad Definitions
E.2 Expanding Definitions
E.3 Changing Definitions
E.4 The Uncounted
F. MEASUREMENTS: HOW DID THEY COUNT?
F.1 Creating Measures
F.2 Odd Units of Analysis
F.3 Loaded Questions
F.4 Raising the Bar
F.5 Technical Measures
G. PACKAGING: WHAT ARE THEY TELLING US?
G.1 Impressive Formats
G.2 Misleading Samples
G.3 Convenient Time Frames
G.4 Peculiar Percentages
G.5 Selective Comparisons
G.6 Statistical Milestones
H. RHETORIC: WHAT DO THEY WANT US TO THINK?
H.1 Using Short-Term Turnover to Measure Long-Term Problems
H.2 Sudden Turns for the Worse
H.3 Designating Myths
H.4 Rhetorical Flourishes
I. DEBATES: WHAT IF THEY DISAGREE?
I.1 Causality Debates
I.2 Equality Debates
I.3 Policy Debates
PART 3. STAT-SPOTTING ON YOUR OWN
J. SUMMARY: COMMON SIGNS OF DUBIOUS DATA
K. BETTER DATA: SOME CHARACTERISTICS
L. AFTERWORD: IF YOU HAD NO IDEA THINGS WERE THAT BAD, THEY PROBABLY AREN’T
M. SUGGESTIONS FOR THOSE WHO WANT TO CONTINUE STAT-SPOTTING
Joel Best is Professor of Sociology and Criminal Justice at the University of Delaware. Among his many books are Flavor of the Month: Why Smart People Fall for Fads, More Damned Lies and Statistics: How Numbers Confuse Public Issues, and Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists, all from UC Press.
“The author’s skillful analyses and explanations presented in clear and concise prose make Stat-Spotting an ideal guide for anyone who reads a newspaper, watches television, or surfs the Web. In short, everyone.”—Joe Swingle Numeracy
“Offers an eye-opening field guide to identifying problematic data and concludes by calling for better statistics.”—Nacada Journal
"If you ever scan the newspaper, watch the TV news, or surf the blogs, you should read this charming book. If you're a journalist, read it twice."—James M. Jasper
"As we now swim in information, much of it bogus or biased, spotting dubious data is super important. In Stat-Spotting
, Joel Best plays off the format of field guides to give readers good, common sense ways not only to sense bad data but to understand what's wrong. Broken up into short independent sections much like field guides to various flora or fauna, the book is easy and enjoyable to read. Easy, enjoyable, and valuable. I will recommend it to my students, and to others, as a resource for critical consumers of numbers."—Bernard Madison, University of Arkansas
"The purpose of Stat-Spotting
is to help readers become more critical consumers of statistical claims. It is an important work addressing a significant problem in contemporary society: thoughtlessness about numerical claims. Best's work here provides a direct, accessible guide to critical readings of statistics."—Neil Lutsky, Carleton College