Radical Uncertainty: Decision-Making Beyond the Numbers
Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty.

“An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review

Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless.

The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.

1132016091
Radical Uncertainty: Decision-Making Beyond the Numbers
Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty.

“An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review

Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless.

The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.

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Radical Uncertainty: Decision-Making Beyond the Numbers

Radical Uncertainty: Decision-Making Beyond the Numbers

Radical Uncertainty: Decision-Making Beyond the Numbers

Radical Uncertainty: Decision-Making Beyond the Numbers

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Overview

Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty.

“An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review

Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless.

The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.


Product Details

ISBN-13: 9780393541984
Publisher: Norton, W. W. & Company, Inc.
Publication date: 09/07/2021
Pages: 572
Sales rank: 197,351
Product dimensions: 5.40(w) x 7.70(h) x 1.50(d)

About the Author

John Kay is an economist and Fellow of St. John’s College, University of Oxford.

Mervyn King, former governor of the Bank of England, teaches at New York University and the London School of Economics.

Table of Contents

Acknowledgements xiii

Preface to the Paperback Edition xv

Preface xxxiii

Part I Introduction: The Nature of Uncertainty

1 The Unknowable Future 3

2 Puzzles and Mysteries 18

3 Radical Uncertainty is Everywhere 35

Part II The Lure of Probabilities

4 Thinking with Probabilities 53

5 A Forgotten Dispute 69

6 Ambiguity and Vagueness 85

7 Probability and Optimisation 106

Part III Making Sense of Uncertainty

8 Rationality in a Large World 133

9 Evolution and Decision-Making 154

10 The Narrative Paradigm 178

11 Uncertainty, Probability and the Law 196

12 Good and Bad Narratives 215

13 Telling Stories Through Numbers 232

14 Telling Stories Through Models 248

15 Rationality and Communication 262

16 Challenging Narratives 278

Part IV Economics and Uncertainty

17 The World of Finance 303

18 Radical Uncertainty, Insurance and Investment 322

19 (Mis)Understanding Macroeconomics 338

20 The Use and Misuse of Models 358

Part V Living with Uncertainty

21 Practical Knowledge 381

22 Adapting to Radical Uncertainty 402

23 Embracing Uncertainty 418

Appendix: Axioms of Choice under Uncertainty 435

Notes 445

Bibliography 471

Further Reading 511

Index 514

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