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Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner episode artwork

EPISODE · Sep 10, 2024 · 1H 24M

Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

from Data Science Decoded · host Mike E

In this special episode, Daniel Aronovich joins forces with the 632 nm podcast. In this timeless paper Wigner reflects on how mathematical concepts, often developed independently of any concern for the physical world, turn out to be remarkably effective in describing natural phenomena. This effectiveness is "unreasonable" because there is no clear reason why abstract mathematical constructs should align so well with the laws governing the universe. Full paper is at our website: https://datasciencedecodedpodcast.com/episode-9-the-unreasonable-effectiveness-of-mathematics-in-natural-sciences-eugene-wigner-1960

What this episode covers

In this special episode, Daniel Aronovich joins forces with the 632 nm podcast. In this timeless paper Wigner reflects on how mathematical concepts, often developed independently of any concern for the physical world, turn out to be remarkably effective in describing natural phenomena. This effectiveness is "unreasonable" because there is no clear reason why abstract mathematical constructs should align so well with the laws governing the universe. Full paper is at our website: https://datasciencedecodedpodcast.com/episode-9-the-unreasonable-effectiveness-of-mathematics-in-natural-sciences-eugene-wigner-1960

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Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

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This episode is 1 hour and 24 minutes long.

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This episode was published on September 10, 2024.

What is this episode about?

In this special episode, Daniel Aronovich joins forces with the 632 nm podcast. In this timeless paper Wigner reflects on how mathematical concepts, often developed independently of any concern for the physical world, turn out to be remarkably...

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