Weisberg Willful Ignorance

The Mismeasure of Uncertainty
1. Auflage 2014
ISBN: 978-1-118-59379-0
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 464 Seiten, E-Book

An original account of willful ignorance and how thisprinciple relates to modern probability and statisticalmethods
Through a series of colorful stories about great thinkers andthe problems they chose to solve, the author traces the historicalevolution of probability and explains how statistical methods havehelped to propel scientific research. However, the past success ofstatistics has depended on vast, deliberate simplificationsamounting to willful ignorance, and this very success now threatensfuture advances in medicine, the social sciences, and other fields.Limitations of existing methods result in frequent reversals ofscientific findings and recommendations, to the consternation ofboth scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertaintyexposes the fallacy of regarding probability as the full measure ofour 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 betweenqualitative and quantitative modes of research, and betweenresearch and practice, are reflections of this underlying problem.The author outlines a path toward the re-engineering of dataanalysis to help close these gaps and accelerate scientificdiscovery.
Willful Ignorance: The Mismeasure of Uncertainty presentsessential information and novel ideas that should be of interest toanyone concerned about the future of scientific research. The bookis especially pertinent for professionals in statistics and relatedfields, including practicing and research clinicians, biomedicaland social science researchers, business leaders, andpolicy-makers.

Autoren/Hrsg.

Weisberg, Herbert I.

Inhaltsverzeichnis

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
AgainstThe 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

Über Autor(innen)

Herbert I. Weisberg, PhD, 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.