Macroeconomic statistics simultaneously shape and try to capture the political economy we study. Their biases mold social and political dynamics; they also infect academic and policy analysis. Political economy can both benefit from and advance an understanding of economic statistics as political artefacts. To help unlock that potential, this article builds on scholarship dispersed across disciplines and highlights three points. First, a binary debate that either acclaims or vilifies economic data is misdirected. Indispensable for public policy, quantification is neither good nor bad per se; the question is what its specific ramifications are. Second, macroeconomic statistics have been built around an ideal of white male factory work for wages. The further economic activity is removed from that image, the more statistics misrepresent or ignore it, with systematic biases as a result. Third, the real-world impact of statistics always depends on how they are understood, used, and subverted. It hinges on statistical practices, not just on abstract measurement approaches. As political economists we are political agents when we define, and reproduce, our object of study. We face both an analytical and a normative imperative to work with and towards statistics that do justice to the world and the people in it.