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Talk1 h 5 min

Colloquium by Prof. Daniel Kahneman

Daniel Kahneman · CERN

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About

Daniel Kahneman (renowned psychologist, bestselling author and winner of the 2002 Nobel Prize in Economics) will give a colloquium in the form of an interview on his latest book "Noise: A Flaw in Human Judgement", written with Olivier Sibony and Cass Sunstein.

In this book, the authors show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgement, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions.

"Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgements that should be identical."

If you would like to suggest one (or more) question(s) to Prof Kahneman, please do so by using this form:

https://ep-seminar-questions.web.cern.ch/Kahneman

Colloquium by Prof. Daniel Kahneman: https://cern.zoom.us/j/67477659815?pwd=V0R5eVJkRjNMODhzTnFKd3ljcHJBdz09.

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The talk

  1. Colloquium by Prof. Daniel Kahneman 2022-02-03 · 1 h 5 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN Colloquium
Speaker
Daniel Kahneman
Year
2022
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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