Thinking About Thinking

Neuroscience research also teaches us that our emotional brains needn’t always operate beneath our radar. Richard Peterson, a psychiatrist who applies behavioral economics theory in his investment consulting business, advises clients to cultivate emotional self-awareness, notice their moods as they happen, and reflect on how their moods may... See more

This is why the people who score well on intelligence tests and win lots of chess games are no happier than the people who flunk the tests and lose at chess: well-defined and poorly defined problems require completely different problem-solving skills. Life ain’t chess! Nobody agrees on the rules, the pieces do whatever they want, and the board... See more

Falk Lieder, Ming Hsu, and Tom Griffiths showed that the ‘rational’ solution to this computational constraint is to over-sample extreme outcomes. That is, you should apply something like the availability heuristic by calling those more extreme (easily accessible) outcomes to mind. The result is a biased estimate, but one that is optimal given the... See more

But that’s physics, and physics deals with the natural. Engineering, on the other hand, is a science of the artificial , and it would be downright strange to insist that engineering artifacts have no purpose or telos.

Everyone belongs to a tribe and underestimates how influential that tribe is on their thinking. There is little correlation between climate change denial and scientific literacy. But there is a strong correlation between climate change denial and political affiliation. That’s an extreme example, but everyone has views persuaded by identity over... See more

learning how to think really means learning how to exercise some control over how and what you think. It means being conscious and aware enough to choose what you pay attention to and to choose how you construct meaning from experience. Because if you cannot exercise this kind of choice in adult life, you will be totally hosed. Think of the old... See more

The first is a weakened focus on the concept of bias. The point of decision-making is not to minimize bias. It is to minimize error, of which bias is one component. In some environments, a biased decision-making tool will deliver the lowest error. For example, statisticians and computer scientists often use a class of procedures called... See more