Dynamic-Complex Demarcation Theory of Science

A synthesis of dynamic and complex approaches: the boundary between science and non‑science is not only historically fluid but also emerges from complex, self‑organizing processes within research communities. Scientific status arises from the interplay of many factors (methods, institutions, networks) that evolve unpredictably. Pseudoscience lacks this dynamic complexity; it remains shallow, linear, and unchanging. This theory is particularly useful for fields that shift rapidly, such as AI research or molecular biology, where traditional criteria lag behind.

Dynamic-Complex Demarcation Theory of Science Example: “Dynamic‑complex demarcation theory explained how CRISPR research stayed scientific despite early failures—its community exhibited adaptive learning and emergent standards, unlike fixed pseudoscientific protocols.”

Dynamic-Complex Demarcation Theory of Science by Dumu The Void April 28, 2026