Shalizi tells us how to separate the wheat from the chaff, how to compensate for overfitting and prevent models from memorizing noise. He introduces techniques from data mining and machine learning to economics — this is new economic thinking."
Shalizi's work involves providing methods for distinguishing valuable insights from misleading ones, addressing the issue of overfitting in models, and preventing models from simply memorizing random noise. He introduces data mining and machine learning techniques into economics, which leads to a new approach to economic theory.