02277nam a2200385 i 4500001001900000003000600019005001700025008004100042015001900083016001800102020003800120020003400158035002100192035002600213035001800239040003800257050001000295100004200305245009500347250002300442264003800465300006300503500003200566500003900598504005100637505036200688520058801050650002501638650001901663700004301682700003701725942000801762952010601770999001501876990231986950107026UkOxU20250516111859.0211222r20222021enka     b    001|0 eng|d  aGBC2382982bnb7 a0205085522Uk  a9780008309039qpaperbackcĐ10.99  z9780008534448qexport edition  a(UkOxU)023198695  a(UkOxU)023198695BIB01  a(Uk)020508552  aStDuBDSbengerdacStDuBDSdUkOxU  aBF441  aKahneman, Danield1934-2024,eauthor.10aNoise b: a flaw in human judgement c/ Daniel Kahneman, Olivier Sibony, Cass R. Sunstein.  aPaperback edition. 1aLondon :bWilliam Collins,c2022.  axi, 452 pages :billustrations (black and white) ;c20 cm.  aOriginally published: 2021.  aPaperback edition published: 2022.  aIncludes bibliographical references and index.  aTwo Kinds of Error — 
Finding Noise —
Your Mind Is a Measuring Instrument —
Noise in Predictive Judgments —
How Noise Happens —
Improving Judgments —
Optimal Noise —
Review and Conclusion — Taking Noise Seriously
Epilogue — A Less Noisy World
How to Conduct a Noise Audit —
A Checklist for a Decision Observer —
Correcting Predictions.  aFrom the world-leaders in strategic thinking and the multi-million copy bestselling authors of Thinking Fast and Slow and Nudge, the next big book to change the way you think.

We like to think we make decisions based on good reasoning – and that our doctors, judges, politicians, economic forecasters and employers do too. In this groundbreaking book, three world-leading behavioural scientists come together to assess the last great fault in our collective decision-making: noise.

We all make bad judgements more than we think. Noise shows us what we can do to make better ones. 0aDecision making9339 0aJudgment96854  aSibony, Olivierd1967-eauthor.924933  aSunstein, Cass Reauthor.922068  2lcc  00102lcc4070aTBSbTBSd2025-03-19l1oBF441 KAHpB05936r2025-06-25s2025-03-28t1w2025-03-19y1  c4546d4546