Illusions of Understanding in the Sciences
Summary
Open-access essay argues that scientific understanding is inherently partial and contextual, using linear regression and famous paradoxes (Simpson’s, Lord’s, Stein’s) to show how predictive success does not equal deep causal understanding. It also discusses how expertise, communication, and AI tools influence trust in scientific conclusions.