This April 2020 paper by Palomaki et al on the game of poker as a domain of expertise is great: it synthesises all that is known about expertise and uses it as a lens to look at poker.
Conversation
It also confirms something I've long suspected: that for all the talk about explicit decision analysis in poker training, when it comes to *actually playing poker* — expert players use trained intuition to perform under pressure.
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What interest me about this topic is that poker is a beautiful blend of two kinds of decision making ability — the intuitive recognition primed model that underpins so much of expertise, and the cognitive bias avoidance type of thinking we see in good finance and forecasting.
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(Yes, Annie Duke has a fantastic book using poker as an analogy for good decision making, but she takes the conventional view that our brains are evolved for high regularity environments and we must look for ways to get around that. Whereas the RPD model leans in on heuristics.)
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I’m still trying to find a middle ground for my own use. Probably an essay for another day.