An original account of willful ignorance and how this
principle relates to modern probability and statistical
methods
Through a series of colorful stories about great thinkers and
the problems they chose to solve, the author traces the historical
evolution of probability and explains how statistical methods have
helped to propel scientific research. However, the past success of
statistics has depended on vast, deliberate simplifications
amounting to willful ignorance, and this very success now threatens
future advances in medicine, the social sciences, and other fields.
Limitations of existing methods result in frequent reversals of
scientific findings and recommendations, to the consternation of
both scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertainty
exposes the fallacy of regarding probability as the full measure of
our uncertainty. The book explains how statistical methodology,
though enormously productive and influential over the past century,
is approaching a crisis. The deep and troubling divide between
qualitative and quantitative modes of research, and between
research and practice, are reflections of this underlying problem.
The author outlines a path toward the re-engineering of data
analysis to help close these gaps and accelerate scientific
discovery.
Willful Ignorance: The Mismeasure of Uncertainty presents
essential information and novel ideas that should be of interest to
anyone concerned about the future of scientific research. The book
is especially pertinent for professionals in statistics and related
fields, including practicing and research clinicians, biomedical
and social science researchers, business leaders, and
policy-makers.
Tabela de Conteúdo
PREFACE xi
ACKNOWLEDGMENTS xv
1 THE OPPOSITE OF CERTAINTY 1
Two Dead Ends 2
Analytical Engines 4
What is Probability? 6
Uncertainty 9
Willful Ignorance 12
Toward a New Science 15
2 A QUIET REVOLUTION 19
Thinking the Unthinkable 21
Inventing Probability 24
Statistics 27
The Taming of Chance 31
The Ignorance Fallacy 34
The Dilemma of Science 35
3 A MATTER OF CHANCE 41
Origins 43
Probability 44
The Famous Correspondence 56
What Did Not Happen Next 60
Against The Odds 64
4 HARDLY TOUCHED UPON 71
The Mathematics of Chance 73
Empirical Frequencies 82
A Quantum of Certainty 100
5 A MATHEMATICIAN OF BASEL 114
Publication at Last 116
The Art of Conjecturing 117
A Tragic Ending 142
6 A DEFECT OF CHARACTER 147
Man Without a Country 150
A Fraction of Chances 165
7 CLASSICAL PROBABILITY 171
Revolutionary Reverends 173
From Chances to Probability 194
8 BABEL 213
The Great Unraveling 216
Probability as a Relative Frequency 219
Probability as a Logical Relationship 228
Probability as a Subjective Assessment 239
Probability as a Propensity 247
9 PROBABILITY AND REALITY 253
The Razor’s Edge 255
What Fisher Knew 257
What Reference Class? 262
A Postulate of Ignorance 270
Laplace’s Error 279
10 THE DECISION FACTORY 283
Beyond Moral Certainty 284
Decisions, Decisions 298
Machine-Made Knowledge 309
11 THE LOTTERY IN SCIENCE 312
Scientific Progress 313
Fooled by Causality 319
Statistics for Humans: Bias or Ambiguity? 331
Regression toward the Mean 339
12 TRUST, BUT VERIFY 346
A New Problem 347
Trust, … 354
…But Verify 357
The Future 363
Mindful Ignorance 368
APPENDIX: THE PASCAL-FERMAT
CORRESPONDENCE OF 1654 373
NOTES 387
BIBLIOGRAPHY 415
INDEX 429
Sobre o autor
Herbert I. Weisberg, Ph D, is Founder of Causalytics, LLC, which develops innovative technology for predictive analytics for both medical research and business applications. He was previously President of Correlation Research Inc., a consulting firm specializing in the application of statistics to various business and legal issues. A Fellow of the American Statistical Association, Dr. Weisberg has published numerous articles and two previous books related to applied statistics.
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