A new arXiv paper defines a "good explanation" by combining counterfactual reasoning with the interlocutor's prior beliefs. The authors argue that LLM outputs are uniquely difficult to explain under this rigorous standard. This research challenges current interpretability methods. Practitioners must now account for user psychology to ensure AI transparency actually improves trust.