Stat-Spotting: A Field Guide to Identifying Dubious Data (Hardcover)

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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