KEY LESSONS FROM Noise
Daniel Kahneman, Olivier Sibony, and Cass Sunstein explore why humans make inconsistent judgments in professional fields like medicine and law. They define "noise" as unwanted variability in decisions that should be identical. The book provides "decision hygiene" techniques to reduce errors and improve accuracy.
Lesson One
Noise vs. Bias: While bias is a systematic error in one direction, noise is the random, scattered inconsistency that is often harder to detect.
Lesson Two
The Power of Algorithms: Even simple mathematical formulas often outperform human "gut feeling" because they are perfectly consistent and noise-free.
Lesson Three
Decision Hygiene: Improve choices by using structured sequences, such as breaking a problem into independent parts before making a final judgment.
Lesson Four
The Group Effect: Discussion often amplifies noise; use independent, anonymous voting to get a true aggregate of expert opinions.