Everything I know about learning in novel, ill-structured domains, summarised in one piece.

If your incentive set leads to differentiated behaviour, why don't more competitors copy it? Because it's hard to copy, that's why. Here are two reasons how.

The second part of a three part piece on incentives. It turns out that if you've grokked the primary incentives of an industry, you can do one other thing: identify aberrations, and use that as a guide to dig further.

What an understanding of incentives can do for you, through the lens of one industry that we're all familiar with.

Good news: we have a neat, universal milestone on the journey to mastery. What that looks like, and how to use it.

In countries with weak institutions, how things should work is often different from how things actually work. A reminder of what that feels like at the ground level.

Mentor relationships can be absolutely wonderful over the arc of a career. This is a simple way to think about finding and keeping good mentors.

How to hunt for useful expertise research, emotional regulation work, or better learning techniques, straight from the primary literature.

Cognitive Flexibility Theory: the caveats. Also: a look at kind vs wicked learning domains, and what this tells us about building expertise in messy, real world domains.

What happens if cases are more important than principles in your domain? Some non-obvious implications.