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Area of Science:

  • * Social complexity and historical sociology.
  • * Comparative history and anthropology.

Background:

  • * Societies historically increased administrative layers and information management with population and territorial growth.
  • * Such increases in complexity are not inevitable, suggesting underlying developmental thresholds and patterns.

Purpose of the Study:

  • * To investigate the developmental trajectories of hundreds of polities across continents and millennia using the Seshat database.
  • * To identify thresholds and patterns in sociopolitical development, particularly the interplay between scale and information processing.

Main Methods:

  • * Analysis of the Seshat database, a comprehensive dataset on historical societies.
  • * Quantitative investigation of sociopolitical development across diverse polities over extended periods.

Main Results:

  • * Sociopolitical development follows a phased pattern: scale growth, then information processing improvements, then further scale growth.
  • * Defined a Scale Threshold and an Information Threshold, critical for understanding societal development.
  • * Societies diverge below the Information Threshold but reconverge beyond it.

Conclusions:

  • * The phased growth model explains evolutionary divergence between Old and New World polities.
  • * The Information Threshold provides a mechanism to understand social collapses potentially unrelated to external factors.