I've been really enjoying the Naturalistic Decision Making podcasts over at anchor.fm/ndmpodcast
For those who don't know, NDM is a branch of judgment and decision making that *embraces* the power of heuristics, and looks for ways to strengthen it.
Conversation
It's a bit more than that, of course.
For instance, it focuses on decision making in the real world, as opposed to those in the lab (which the cognitive biases tradition tends to favour). And unlike more mainstream approaches, it doesn't attempt to fight cognitive biases.
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And it turns up in all sorts of interesting places. Nasdaq, for instance, uses NDM techniques to tease out how expert compliance officers are able to detect rogue trading on their platform, and then uses those insights to design better interfaces for all their officers.
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I should probably do a longer thread/essay at some point. NDM is full of practical ideas to try in one's life/career, and it doesn't seem to enjoy as much fame as the more famous cognitive biases tradition.
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Yes, have a look at Gary Klein and Gerd Gigerenzer's work in the space. GG's 'Risky Savvy' is a superb book.
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I'm quite familiar with Klein! (Though not Gigerenzer, and I wonder if he identifies with the broader NDM community).
What I really like about the podcast is that each episode is an interview with a different researcher, and you get to hear about their research.
(Added 'Risky Savvy' immediately to my toread, fwiw. I only know of Gigerenzer in terms of his longstanding feud with Kahneman+Tversky, and in terms of fast and frugal trees, but not much else. Thank you for the recommendation!)
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No worries! I think with the Replication Crisis, and other follow-up studies, Gigerenzer's "thesis" is coming out stronger; and intellectual feuds are the best feuds - high quality scientific debates benefit everyone!
His work in increasing Risk Literacy is also very underrated
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Gigerenzer is great. The fast-and-frugal approach is kind of a compromise between NDM and H&B. Guided by experts, we can attempt to formalize the conditions in which a heuristic is most effective.
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