What We Actually Learn From Experience #podcast #StanfordGSB

So there's an enormous amount of data in the world. There's facts coming up at us from left and right. And so the theorist's role is to make sense of that data, make sense of those facts and put some structure on our understanding of the world. And the idea is that by putting this structure on these facts, we can not only understand the world a little better, right, but we can make predictions and suggestions about how we can make the world work better. The theorists make uh the invisible visible and then once we can see it clearly we can start to sort of >> extract actionable insights from

Most of us believe we learn from experience. But what do we actually learn, and how do we use it? Steven Callander, professor of political economy at Stanford Graduate School of Business, has spent years building a mathematical framework to answer this question. His research on correlated learning shows that the outcomes of different choices are connected — and that understanding those connections can transform how we search for the right job, the right market, or the right strategy. The math behind it may change how you think about every decision you make.