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Matjaž Leonardis - Science, Identity and Probability

Matjaž Leonardis has co-written a paper with David Deutsch about the Popper-Miller Theorem. In this episode, we talk about that as well as the dangers of the scientific identity, the nature of scientific progress, and advice for young people who want to be polymaths.   Episode Website: https://www.dwarkeshpatel.com/p/matjaz-leonardis Apple Podcasts: https://apple.co/3AyRz5Z Spotify: https://spoti.fi/3PZ5R5D Follow Matjaž's excellent Twitter: https://twitter.com/MatjazLeonardis Follow My Twitter: https://twitter.com/dwarkesh_sp

Dwarkesh PatelhostMatjaž Leonardisguest
Aug 21, 202034mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Matjaž Leonardis Challenges Scientific Identity, Bayesian Induction, and Learning Myths

  1. Dwarkesh Patel interviews Matjaž Leonardis about the nature of science, arguing that overidentifying with the label 'scientist' and with a singular 'scientific method' can be counterproductive to genuine inquiry.
  2. Leonardis discusses the Popper–Miller theorem and his paper with David Deutsch, which critiques the idea that Bayesian probabilistic updating provides genuine inductive support for theories.
  3. They explore Popper’s focus on explanatory, content-rich theories versus merely probable ones, touching on the conjunction fallacy and the psychological need for regularity.
  4. Finally, Leonardis offers unconventional advice on becoming a polymath, emphasizing unlearning rigid study structures, following curiosity, and connecting with real problem-solvers rather than obsessing over formal curricula.

IDEAS WORTH REMEMBERING

5 ideas

Overidentifying as a 'scientist' can hinder genuine problem-solving.

Leonardis argues that constantly asking whether one is 'doing science' or following the 'scientific method' can create self-consciousness that interferes with simply pursuing problems wherever their logic leads.

Scientific activity need not be unified under a single method or identity.

Universities can support many distinct inquiries (helium, star formation, etc.) without requiring a shared, reified category called 'science'; insisting on such unity invites unhelpful policing of who is 'really' a scientist.

Bayesian updating does not straightforwardly provide inductive support for theories.

The Popper–Miller theorem, as explained by Leonardis, shows that increases in a theory’s probability given evidence need not represent evidence-driven inductive support; the supposedly 'inductive' part of a theory’s content can even lose probability.

People seek explanatory, content-rich theories more than merely probable ones.

Drawing on Popper and the conjunction fallacy (the Linda example), Leonardis notes that humans often prefer theories that explain more—even if they are formally less probable—suggesting that 'believability' diverges from mathematical probability.

Narratives about the Enlightenment and methods of progress are less clear-cut than often claimed.

Leonardis is agnostic about whether a specific methodological shift caused modern scientific progress, noting alternative explanations like economic change and the deep difficulty of assigning causal credit to 'the Enlightenment' or 'reason'.

WORDS WORTH SAVING

5 quotes

People were able to do science before [the word 'scientist'], quite well.

— Matjaž Leonardis

There is this idea that there is a specific method that one ought to use, rather than just where the logic of the problem itself leads you.

— Matjaž Leonardis

It is very unclear if one is ever using a method, because thoughts are constantly arising in the mind… it often feels like a stretch to say they arise as a result of a method.

— Matjaž Leonardis

What people actually want, what they believe in, what they seek, are not tautology-like contentless but likely theories, but incredibly informative, explanatory and therefore less likely theories.

— Matjaž Leonardis

Polymath is not something you learn to be, it’s something you unlearn to be.

— Matjaž Leonardis

Critique of the 'scientist' identity and unified concept of scienceRole and limits of the 'scientific method' and Enlightenment narrativesPopper–Miller theorem and Bayesian probability as inductive supportExplanatory theories versus highly probable but content-poor theoriesConjunction fallacy, probability, and 'believability'Psychological need for regularity and its role in theory formationPractical advice on polymathy, learning, and finding meaningful problems

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