From the Book - Regular Print
pt. 1. Getting started --
A. Spotting questionable numbers --
B.1. Statistical benchmarks --
B.2. Severity and frequency --
pt. 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.4. Naming the problem --
E. Definitions : what did they count? --
E.1. Broad definitions --
E.2. Expanding definitions --
E.3. Changing definitions --
F. Measurements : how did they count? --
F.1. Creating measures --
F.2. Odd units of analysis --
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. Debates : what if they disagree? --
H.1. Causality debates --
pt. 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 --
From the eBook - Updated and expandedition.
part 2. Varieties of dubious data
part 3. Stat-spotting on your own.
