This episode is based on a paper written by Mehta et al and describes a cognitive bias called the illusion of explanatory depth (IoED), where people believe they understand how things work more thoroughly than they actually do. The first article discusses the IoED in the context of healthcare education, specifically arguing that educators should encourage students to use Large Language Models (LLMs) to complete assignments while simultaneously employing iterative prompting to expose the limitations of these AI tools and promote deeper understanding. The second article explores the IoED regarding how people understand bicycles, finding that even experienced cyclists have a surprisingly superficial understanding of the mechanics involved. The third article examines whether explaining one phenomenon can reduce someone's perceived understanding of a completely different phenomenon, finding that this effect does indeed occur. Finally, the fourth article explores the collective representation of knowledge, arguing that individuals rely heavily on the expertise of others to form their understanding of the world and that this reliance can lead to a misapprehension of one's own knowledge. Hosted on Acast. See acast.com/privacy for more information.

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