We present a universal formula for computational complexity based on two fundamental sources: structural barrier (γ) and residual entropy (Hᵣes). The formula Λₛtruct = n - γₑff - Hᵣes unifies previously disparate results including cascade inversions, bounded treewidth problems, 2-SAT, and random oracle complexity. We show that all components are computable in polynomial time from the problem description, providing a practical framework for complexity estimation. The formula explains why cryptographic constructions are hard (high γ), why random search is hard (high Hᵣes), and why structured problems like 2-SAT are easy (both low). We verify the formula against all known complexity results and discuss implications for the P vs NP problem. Key Result: L = 2^γₑff + Hᵣes, where complexity arises from exactly two sources: structural barrier and residual entropy.
Aliaksei Naboko (Mon,) studied this question.