Statistical Regression to the Mean

The phenomenon in which a model, when learning from broadly distributed data, tends to produce outputs that gravitate toward the center or typical patterns of the training data distribution rather than optimal exemplars. In the software engineering context, it explains why LLMs generate average-quality code that runs but is poorly designed.