Evaluating the Reliability of Interpretation in the Production of Knowledge within History and the Human Sciences

This essay investigates the extent to which interpretation serves as a reliable tool for producing knowledge, specifically within History and the Human Sciences.

Utilizing historiographical analysis of the Japanese surrender and the Khmer Rouge, alongside psychological case studies on anchoring bias and election modeling, the author examines how disciplinary norms and sampling methodologies influence reliability. The argument concludes that reliability is conditional and relative to disciplinary standards. While History utilizes triangulation to mitigate incomplete evidence, the Human Sciences face challenges from "WEIRD" sampling and the distinction between useful and valid models. The essay offers a sophisticated evaluation of how methodological limitations and audience perception impact the stability of knowledge claims.