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by Sunhold
1104 days ago
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More than 80% of college students get the following question wrong.[1] I'd say this is an example of naive pattern matching with no real reasoning. Linda is 31 years old, single, outspoken, and very bright. She majored in philosophy. As a student, she was deeply concerned with issues of discrimination and social justice, and also participated in anti-nuclear demonstrations. Which is more probable? a) Linda is a bank teller.
b) Linda is a bank teller and is active in the feminist movement. [1] https://en.wikipedia.org/wiki/Conjunction_fallacy |
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a) Hank has written us a human interest problem b) Hank has written us a human interest and a probability problem.
I don't think people are simply wrong about the Linda problem, I think they're imprecise about which question they're answering, and more or less think they're answering a question about what chances that Linda is a feminist vs what are the chances she's a bank teller not only using the givens+relevant priors about people but also their priors about what kind of question they're answering. It isn't "no real reasoning", it's just not high resolution enough to be technically correct by the standards of a constructed probability problem.
You can argue LLMs are also not quite high resolution enough and I'd accept that. In my mind the question is what it would take to get some kind of ML software to a place where if you trained it on enough probability problems it would be able to evaluate the Hank problem above, including the issue of whether (a) and (b) are actually independent. ;)