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#1073 David Wolpert: History as a Stochastic Process

The Dissenter

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Decoding Historical Dynamics

This chapter explores methodologies for studying history, focusing on deep history and the Seshat data set that reveals consistent patterns in societal development. It introduces a stochastic process framework that simplifies historical data analysis, contrasting empirical approaches with traditional storytelling. The discussion centers on sociopolitical complexity and predictive modeling, highlighting the relationship between societal size, computational capabilities, and evolutionary thresholds.

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