Causation, Not Correlation, in Interpretive Political Science

Using David Easton’s theory of the political system as my interpretive framework, I will offer a non-mechanistic theory of how human political behavior can be “caused.” I will argue that, for Interpretive Political Science, reasons can be causes of political behavior. Indeed, respect for the subject matter – human political behavior – requires this causal theory. After all, people are not machines. “Reasons” will be understood as units of meaning in the minds of people. I will offer examples of such causal relations in the operations of two political systems, China and Peru.