

emeritus hoogleraar psychologie, Princeton University, hoogleraar Public Affairs, Woodrow Wilson School of Public and International Affairs
Meer over de auteursNoise
A Flaw in Human Judgment
Samenvatting
From the multi-million copy bestselling author of Thinking Fast and Slow Daniel Kahneman, the co-author of the million-copy bestseller Nudge Cass Sunstein, and the eminent professor and writer on strategic thinking Olivier Sibony, a new book about how to make better decisions. We make thousands of decisions every day, from minute choices we don't even know we're making up to great, agonising deliberations. But when every decision we make is life-changing, the way we reach them matters.
And for every decision, there is noise. This book teaches us how to understand all the extraneous factors that impact and bias our decision-making - and how to combat them and improve our thinking. Filled with new science, fascinating case studies and revealing practical examples, the skills this book teaches can be readily used by private or public institutions, by schools, hospitals, businesses, judges and in our everyday lives.
Trefwoorden
besluitvorming noise ruis psychologie oordeelsvorming gedragskunde bias cognitieve bias beslissingskwaliteit beslissingshygiëne denkfouten gedragseconomie oordeelsvariatie voorspellingen keuzeprocessen rechtspraak persoonlijke effectiviteit beslisprotocollen rationele besluitvorming personeelsselectie voorspellende oordelen besliskunde gezondheidszorg beslissystemen organisatie risicoanalyse beoordelingssystemen beslissingsfouten algoritmes organisatiekunde
Trefwoorden
Specificaties
Over Olivier Sibony
Over Cass Sunstein
Inhoudsopgave
Part 1: Finding Noise
Part 2: Your Mind Is a Measuring Instrument
Part 3: Moise in Predictive Judgments
Part 4: How Noise Happens
Part 5: Improving Judgments
Part 6: Optimal Noise
Review and Conclusion: Taking Moise Seriously
Epilogue: A Less Noisy World
Appendix A: How to Conduct a Noise Audit
Appendix B: A Checklist for a Decision Observer
Appendix C: Correcting Predictions
Acknowledgments
Notes
Index
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