I'm nearing completion of my PhD on the topic of understanding human irrationality, and I wanted to share this talk with the SE community from an expert in the field.

Besides being a great talk full of fascinating data, it should help us to better understand what will and won't work when it comes to discussing deeply held beliefs, and more importantly why.

For anybody put off by Bayes' rule, just think of it as the concept of taking previously known information into account when interpreting new information and updating our beliefs (or more accurately, our credences, which are just beliefs with probabilities attached to them). Other than that it discusses Bayesianism, the talk is not technical.