The Easiest Problem Everyone Gets Wrong

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Shared March 9, 2020

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We know how difficult the Monty Hall Problem is for so many people even after they’re shown all the math behind the best possible strategy. It’s basic probability, but it’s deceptive -- and it all started with the Bertrand’s Box Paradox.

In this video, I go back to the origins of a probability problem that continues to plague humanity. And it all started in 1889 when French mathematician Joseph Bertrand published his “Calcul des probabilités,” which included a simple scenario involving gold and silver coins.

70 years later, recreational math columnist Martin Gardner unveiled The Three Prisoners Problem involving the pardoning of one of three prisoners scheduled to be executed. The mathematical concept was the same as Bertrand’s Box, but The Three Prisoners continued to be a probability paradox that haunted everyone from the readers of Scientific American to professional mathematicians.

But the Monty Hall Problem is really what made this mathematical illusion explode. By the 1990s, there was an all-out argument about whether all of these problems -- Bertrand’s Box, Three Prisoners, and Monty Hall -- were paradoxes or simple 50/50 coin flips. It’s time to go back to the beginning… and show why there’s something even more important than solving this math problem.

*** SOURCES ***

Krauss and Wang, “The Psychology of the Monty Hall Problem: Discovering Psychological Mechanisms for Solving a Tenacious Brain Teaser”: https://www.researchgate.net/publicat...

“Why Humans Fail in Solving the Monty Hall Dilemma: A Systematic Review”: https://www.ncbi.nlm.nih.gov/pmc/arti...

Joseph Bertrand’s “Calcul des Probabilités”: https://archive.org/download/calculde...

Dan MacKinnon (mathrecreation), “Monty Hall and The Three Prisoners”: http://www.mathrecreation.com/2009/03...

Dan Jacob Wallace, “Bertrand’s Box Paradox (With and Without Bayes’ Theorem): https://www.untrammeledmind.com/2018/...

Eugene P. Northrop, “Riddles in Mathematics”: https://archive.org/details/RiddlesIn...

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