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Professor Olivier Sibony on Why we all make Mistakes and how to avoid them.

Professor Olivier Sibony on Why we all make Mistakes and how to avoid them.

FromThe Human Risk Podcast


Professor Olivier Sibony on Why we all make Mistakes and how to avoid them.

FromThe Human Risk Podcast

ratings:
Length:
61 minutes
Released:
Sep 1, 2020
Format:
Podcast episode

Description

Why do even the smartest and most savvy business people make mistakes? It's not because they're stupid. Instead, it's because of the way our brains work. That's what Professor Olivier Sibony, my guest on this episode, explores in his latest book "You're About To Make A Terrible Mistake". In that book, he highlights how cognitive biases that underpin our thinking, can lead us to make terrible mistakes. Using fascinating case studies, he explores how we can fall into what he calls decision-making traps and how we can mitigate those. Not by re-programming ourselves, but rather by using collective thinking.In our discussion, we explore the ideas in his book, and we look ahead to his next book 'Noise' which he's writing with Daniel Kahneman and Cass Sunstein.For more on Olivier see his website: https://www.hec.edu/en/faculty-research/faculty-directory/faculty-member/sibony-olivierYou'll find details of his book here in English: https://oliviersibony.com/books/youre-about-to-make-a-terrible-mistake/For articles, presentations and videos, see here: https://oliviersibony.com/articles-presentations/
Released:
Sep 1, 2020
Format:
Podcast episode

Titles in the series (100)

People are often described as the largest asset in most organisations. They are also the biggest single cause of risk. This podcast explores the topic of 'human risk', or "the risk of people doing things they shouldn't or not doing things they should", and examines how behavioural science can help us mitigate it. It also looks at 'human reward', or "how to get the most out of people". When we manage human risk, we often stifle human reward. Equally, when we unleash human reward, we often inadvertently increase human risk.