A researcher at the Inkhaven Residency is reviewing a seven-year-old paper on preference learning. The work examines how rationality assumptions fail when users do not know their own preferences. This critique analyzes the Assistive Multi-Armed Bandit framework. It offers practitioners a cautionary look at the flaws in early behavioral inference models.