image: The authors shift each Natural Geographic Area’s (NGA) time series with respect to a single anchor time, so that all 23 NGAs can be visualized at once. The first principle component, denoted by SPC1 is a component with almost equal contributions from all nine complexity characteristics.
Credit: Tobias Wand and Daniel Hoyer
Are cultural evolution rates similar across human societies? The emerging field of Cliodynamics uses mathematical models to study history. Tobias Wand and colleagues used a data-driven approach to estimate the rates of cultural evolution in 23 geographic areas, using data from Seshat: Global History Databank, which records nine “complexity characteristics” for 370 polities over 10,000 years, ending in the nineteenth century. The complexity characteristics are polity population; extent of polity territory; the size of the largest urban center; hierarchical complexity; the presence of professional soldiers, officers, priests, bureaucrats, and judges; the variety of observable structures; characteristics of writing and recordkeeping; variety of types of texts; and monetary system. The authors focused on 23 Natural Geographic Areas (NGAs) and restricted their analysis to the central part of each NGA’s timeline so that they could focus on periods of steady, uninterrupted growth rather than moments of invasion or civilization-ending crisis. A universal logistic growth model was fitted to a variable combining all nine complexity characteristics. On average, it takes societies that develop in isolation about 2,500 years to reach high levels of social complexity, according to the authors. Full development of complexity was spread out over multiple cultural or institutional phases in every NGA. According to the authors, the data suggest that there are common pathways in human social evolution across cultures.
Journal
PNAS Nexus
Article Title
The characteristic time scale of cultural evolution
Article Publication Date
6-Feb-2024