Accordingly, Hypothesis defines trust as a function of effective, transparent mechanisms that lead to a meaningful relationship with verifiable information, and by extension, truth. These two concepts: trust and truth, are foundational to Hypothesis’ success. A Hypothesis community member must first trust that the system offers an honest, equitable means by which they can evaluate the world. They must also trust that our algorithms' quantification of the work they do to build a greater understanding of the world is a truly accurate representation of their knowledge.