Quantification without Anchoring

Since the late nineteenth century, quantitative methods have increasingly shaped the human and social sciences. What began as a set of technical instruments for describing social phenomena gradually evolved into a dominant epistemic style, redefining not only how analysis is conducted but also what is taken to be analytically legitimate. This article examines a largely unarticulated methodological sequence underlying this transformation: the transition from magnitude to quantity, from quantity to number, and from number to digit. Drawing on the history of scientific abstraction, the paper argues that this sequence functions productively in the exact sciences because logical operations are continuously constrained by experimental calibration and material resistance. In the social sciences, however, similar constraints are often weakened or absent. As a result, analytical operations—particularly classification and aggregation—are prone to ontological inflation, where symbolic representations acquire explanatory authority independent of the phenomena they purport to describe. The article does not critique quantitative methods as such. Instead, it diagnoses a methodological drift produced by the unexamined interchangeability of magnitude, quantity, number, and digit. Through examples drawn from economics, political theory, and sociological measurement, it is argued that many empirical paradoxes attributed to “social complexity” are better understood as consequences of insufficient coordination between quantitative techniques and classical logical constraints. The paper concludes by outlining minimal methodological conditions under which quantification can remain analytically powerful without becoming semantically self-referential. ________________________________________