Stat-spotting : a field guide to identifying dubious data
著者
書誌事項
Stat-spotting : a field guide to identifying dubious data
University of California Press, c2008
- : cloth
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注記
Includes bibliographical references (p. 119-129) and index
内容説明・目次
内容説明
Are four million women really battered to death by their husbands or boyfriends each year? Does a young person commit suicide every thirteen minutes in the United States? 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. Following on the heels of his highly acclaimed "Damned Lies and Statistics" and "More Damned Lies and Statistics", Joel Best now offers this practical field guide to help everyone identify questionable statistics.Entertaining, informative, and concise, "Stat-Spotting" is essential reading for people who want to be more savvy and critical consumers of news and information. "Stat-Spotting" features pertinent examples from today's news, including the number of deaths reported in Iraq, the threat of secondhand smoke, the increase in the number of overweight Americans, and many more, and a commonsense approach that doesn't require advanced math or statistics.
目次
PART 1 GETTING STARTED A. Spotting Questionable Numbers B. Background B.1 Statistical Benchmarks B.2 Severity and Frequency PART 2 VARIETIES OF DUBIOUS DATA C. Blunders 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.2 Hyperbole 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 G.7. Averages G.8 Epidemics G.9 Correlations G.10 Discoveries H. Debates: What If They Disagree? H.1 Causality Debates H.2 Equality Debates H.3 Policy Debates PART 3 STAT-SPOTTING ON YOUR OWN I. Summary: Common Signs of Dubious Data J. Better Data: Some Characteristics K. Afterword: If You Had No Idea Things Were That Bad, They Probably Aren't L. Suggestions for Those Who Want to Continue Stat-Spotting Acknowledgments Notes
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