Alain Desrosières presents statistical reasoning as a historical and political practice through which societies transform dispersed lives into organised facts. Statistics gives collective existence a measurable form: populations become averages, correlations, samples, classifications, encodings, models, and administrative categories. Its power lies in producing large numbers that appear objective while depending on institutions, conventions, instruments, and state interests. The contents of The Politics of Large Numbers show this intellectual architecture clearly: Desrosières moves from “Arguing from Social Facts” to chapters on averages, correlations, state statistics, representative sampling, classification, encoding, modelling, and adjustment. This sequence reveals statistics as a mode of constructing reality rather than merely recording it. A specific case emerges in the relation between statistics and the state, treated comparatively through France, Great Britain, Germany, and the United States. In this frame, the state uses numerical categories to see society, administer populations, justify decisions, and stabilise public arguments. Statistical objects such as unemployment rates, social classes, averages, and samples become political entities because they organise what can be debated, funded, regulated, or ignored. Desrosières’s decisive contribution lies in showing that numbers acquire authority through social agreements that make them usable as facts. Statistical reasoning therefore operates as a governmental language: it converts plurality into calculable order and turns political judgement into apparently technical evidence.