Invisible Phenomena — Structural Inference and Dynamics of Complex Systems Author: Lauret Wilson John SterkingIndependent Researcher — Nonlinear Complex Systems and Crowd PsychodynamicsCrowd-Based Dynamics (CBD)ORCID: 0009-0004-7889-6641 This three-part research corpus develops a unified approach to the study of invisible phenomena in complex systems: causal structures that are not directly observable, but whose existence and properties may be inferred and reconstructed throu

This corpus presents a unified structural framework for understanding financial systems as complex adaptive collective systems governed by endogenous accumulation, collective memory, mimetic propagation, saturation, conditional reversibility, and progressive loss of governability. Rather than proposing predictive market models or investment strategies, it develops a rigorous structural interpretation of market regimes, transition dynamics, and systemic instability. The public