Putting Mental Models to Practice Part 5: Skill Extraction
Last week we covered a model for expertise called recognition-primed decision making. This week, we talk about how to use that model to build expertise of your own.
Last week we covered a model for expertise called recognition-primed decision making. This week, we talk about how to use that model to build expertise of your own.
Experts make decisions in ways that are very, very different from conventional decision science models. This makes expertise a lot more important to good decision making than you might think.
Instrumental rationality is the sort of thinking that allows you to achieve your goals. We take a closer look at what decision science says is the 'best' way to pursue this purpose.
Ken Kocienda's book is about how Apple builds software in the time of Steve Jobs. Highly recommended, especially if you're a software engineer.
Greg Wilson's Teaching Tech Together is ostensibly about teaching computer programming, but contains a wonderfully written section on how humans learn.
Charles Duhigg's 2012 book on habit introduces a bunch of valuable ideas from the academic literature of habit creation, but is ultimately not very useful to the practitioner.
Amy Hoy's guide to shipping side projects, books, businesses and software — basically, any product you'd like to launch.
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Any discussion of putting mental models to practice must begin with a discussion of the study of rationality. Here we look at what the research tells us about good judgment and decision making.
Charlie Munger's Elementary Worldly Wisdom prescribes learning mental models from many different fields in order to develop better thinking. In this series, we develop a framework for actually putting that to practice.
Introducing the perceptual exposure playlist — a first attempt at putting perceptual learning to practice.