To what extent is interpretation a reliable tool in the production of knowledge?

This essay explores the extent to which interpretation serves as a reliable tool in knowledge production, focusing on History and the Natural Sciences.

Through a comparative analysis, the author argues that interpretation's reliability is contingent upon the methodologies used to justify it. In History, the essay examines how diverse perspectives and extensive evidence can mitigate bias, using Cold War historiography as a counter-example of unreliable interpretation. In the Natural Sciences, the discussion centers on the necessity of replicable evidence and predictive power, illustrated by Collision Theory and the discovery of DNA's structure.

The work is characterized by its nuanced evaluation of how bias and incomplete data impact the credibility of knowledge claims across different disciplines.