In recent years, the proliferation of data-driven analysis has reshaped the epistemological foundations of economics. Vast computational capacity and algorithmic learning promise to turn uncertainty into calculable probability, and complexity into manageable prediction. Yet, the triumph of data often conceals a deeper conceptual poverty. As economics has increasingly become an empirical technocracy, it risks losing sight of what makes social inquiry meaningful: context, purpo