Amazon cover image
Image from Amazon.com

Noise : a flaw in human judgment / Daniel Kahneman, Olivier Sibony and Cass R. Sunstein

By: Material type: TextTextPublication details: London William Collins 2021Description: 454 pISBN:
  • 9780008309008
Subject(s): DDC classification:
  • 153.83 KAH-D
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 100 General Stack (For lending) 153.83 KAH-D (Browse shelf(Opens below)) Available 43550
Total holds: 0

Imagine that two doctors in the same city give different diagnoses to identical patients – or that two judges in the same court give different sentences to people who have committed matching crimes. Now imagine that the same doctor and the same judge make different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday, or they haven’t yet had lunch. These are examples of noise: variability in judgements that should be identical.

In Noise, Daniel Kahneman, Olivier Sibony and Cass R. Sunstein show how noise produces errors in many fields, including in medicine, law, public health, economic forecasting, forensic science, child protection, creative strategy, performance review and hiring. And although noise can be found wherever people are making judgements and decisions, individuals and organizations alike commonly ignore its impact, at great cost.

Packed with new ideas, and drawing on the same kind of sharp analysis and breadth of case study that made Thinking, Fast and Slow and Nudges international bestsellers, Noise explains how and why humans are so susceptible to noise and bias in decision-making. We all make bad judgements more than we think. With a few simple remedies, this groundbreaking book explores what we can do to make better ones.

There are no comments on this title.

to post a comment.
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

© 2024 BITS-Library, BITS-Hyderabad, India.