Jules van Binsbergen
speaker
478 appearances
6 recordings
1 series
first heard Jun 2026
last heard 13 Aug
Jules van Binsbergen’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 6 in all, peaking in Jul 2026 with 3.
Appearances
Welcome to our summer series, where we are highlighting past episodes.
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We selected these episodes because the topics we discuss are still as relevant today as they were when we first aired them.
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Thank you for growing with us year after year.
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Now please enjoy this episode of All Else Equal, Making Better Business Decisions.
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Welcome to the Lauder Institute at the University of Pennsylvania.
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I'm Jules Van Binsbergen, Director of the Institute and a finance professor at the Wharton School.
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Welcome back, everybody.
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Today we're going to talk about a topic that I think is really important for corporate decision making, or more generally, for human decision making.
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And it relates very much to what in statistics is called Bayesian updating and the way in which humans in the decision making are able to do that properly under various circumstances.
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So maybe, Jonathan, first we should spend some time.
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I'm intuitively explaining what Bayesian updating is all about.
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No, I completely agree with you, Jonathan.
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And I think that there's some very famous examples, even game show examples, where the optimal thing to do according to Beijing updating is so counterintuitive.
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So Bayesian updating is really hard.
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I think a lot of people find probabilities in general quite hard to deal with, right?
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That is one of the hardest things of decision
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No, I and Jonathan actually, I think one of the solutions that we need to think about when you are dealing with a decision maker like this is to actually turn the question around.
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Meaning, if people really believe that, you should ask them the question: give me an example of a piece of information that if I was able to give it to you, it would make you change your mind.
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Rather than trying to give
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Give them a lot of pieces of information to convince them that they're wrong about it.
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