Epistemic Capture

Epistemic capture is the colonization of a community's credibility-generating infrastructure by interests that prevent the infrastructure from functioning as an error-correction mechanism. Unlike mere bias — which distorts individual judgment — epistemic capture operates at the systemic level: it rewires the epistemic infrastructure itself so that the signals that should indicate failure are reinterpreted as signals of success, and the institutions that should adjudicate claims are repurposed to validate predetermined conclusions.

The phenomenon appears across domains. In pharmaceutical research, industry-funded trials can capture regulatory review by setting the evidentiary standards that determine approval. In academic publishing, citation cartels can capture journal metrics by cross-citing within a closed network, inflating impact factors without producing genuine scholarly value. In digital media, platform algorithms can capture public attention by optimizing for engagement metrics that systematically amplify sensational claims over accurate ones. In each case, the infrastructure still appears to function — trials are conducted, papers are published, content is ranked — but its output is no longer correlated with epistemic quality.

Epistemic capture is difficult to detect from within because the captured system continues to produce the surface features of legitimacy. The journals still exist. The degrees are still granted. The press releases still claim breakthroughs. What has changed is the mapping between these surface features and the underlying reality they are supposed to track. Detecting capture requires external audit: independent replication, adversarial review, and cross-institutional comparison — exactly the mechanisms that captured systems tend to dismantle first.