Humanity contains enormous distributed intelligence — eight billion minds observing, reasoning, and producing knowledge across every domain and culture. Current AI systems are poor at extracting it. Social media demonstrated that participation is not wisdom and engagement is not truth. The crowd, aggregated without verification, produces noise that compounds into ideology. This paper argues that the challenge is structural. The crowd supplies hypotheses. Verification supplies weight. Reality supplies adjudication. The paper further argues that genuine global intelligence requires multi-epistemic processing — drawing on fundamentally different knowledge-structuring traditions rather than treating one as universal. It develops this argument through Western empiricism, Chinese cognitive philosophy, and Indian logical epistemology, showing that each provides verification capabilities the others lack — while acknowledging that these three traditions are a first probe, not a final answer, and that the framework's incompleteness is structurally consistent with the scientific method's own refusal to declare inquiry closed. The verification substrate described in The Verification Substrate is the mechanism by which distributed human intelligence becomes trustworthy intelligence at civilisational scale. ---