Olivier Sibony

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Olivier Sibony



Olivier Sibony is a professor, author and advisor specializing in the quality of strategic thinking and the design of decision processes.

Olivier is Professor of Strategy at HEC Paris. He is also an Associate Fellow of Saïd Business School in Oxford University, and has taught at London Business School, Ecole Polytechnique, ENA, IE Madrid, and other institutions. Previously, he spent 25 years with McKinsey & Company in France and in the U.S., where he was a Senior Partner. There, he was, at various times, a leader of the Global Strategy Practice and of the Consumer Goods & Retail Sector.

Olivier’s latest book, Noise: A Flaw in Human Judgment, co-authored with Daniel Kahneman and Cass R. Sunstein, has appeared on multiple bestseller lists world
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Average rating: 3.7 · 17,821 ratings · 1,859 reviews · 20 distinct worksSimilar authors
Noise: A Flaw in Human Judg...

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3.67 avg rating — 16,387 ratings — published 2021
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You're About to Make a Terr...

4.05 avg rating — 711 ratings — published 2019 — 4 editions
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Vous allez redécouvrir le m...

3.81 avg rating — 32 ratings5 editions
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La diversité n'est pas ce q...

4.11 avg rating — 9 ratings
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Stai per commettere un terr...

it was ok 2.00 avg rating — 1 rating
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Réapprendre à décider: Et s...

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Storing: 9 denkfouten bij h...

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Gynécologie - Obstétrique

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La diversité n'est pas ce q...

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Gynécologie - Obstétrique

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Quotes by Olivier Sibony  (?)
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“A wise leader, therefore, does not see herself as someone who simply makes sound decisions; because she realizes she can never, on her own, be an optimal decision maker, she views herself as a decision architect in charge of designing her organization’s decision-making processes.”
Olivier Sibony, You're About to Make a Terrible Mistake: How Biases Distort Decision-Making and What You Can Do to Fight Them

“In theory, the scientific method should guard against the risk of confirmation bias. If, for example, we are testing a new drug, our experiment should not aim to confirm the hypothesis that the treatment works. Instead, we should test the “null hypothesis” that the drug has no effect. When the results allow for rejecting this null hypothesis with sufficient probability, the alternative hypothesis—that the drug has an effect—is plausible, and the conclusion of the study is positive. On paper, the process of scientific discovery goes against our natural instincts: it seeks to disprove an initial hypothesis.”
Olivier Sibony, You're About to Make a Terrible Mistake: How Biases Distort Decision-Making and What You Can Do to Fight Them



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