Why Counting Sources Tells You Little About What Is Actually True

A widely shared essay argues that modern information ecosystems create a misleading illusion of consensus, where a single original source can spawn hundreds of derivative articles that all appear independent. The author illustrates this with a 2012 presidential interview that remains well-documented in text yet is nearly impossible to view in its original form. This gap between a source's disappearance and the survival of its derivatives produces what the writer calls a 'filled memory hole' — the record looks intact, but the ability to verify it is quietly lost. The core argument is that document count is a poor measure of evidentiary independence, since many citations may trace back to one wire report or organizational statement. Generative AI is identified as sharpening the problem by collapsing derivative sources into a single confident answer, hiding the genealogy behind apparent consensus.