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This paper introduces a unifying geometric framework that models complex systems through conical and funneling structures. By applying this model across quantum mechanics, cosmology, biology, and information theory, we reveal that cones and funnels serve as functional, predictive, and organizing principles in natural systems. The framework demonstrates that compression, collapse, and convergence often follow a shared conical geometry. From black holes and protein folding to the collapse of quantum wave functions, this model offers a simplified and scalable structure for understanding how complexity condenses and flows. This paper aims to stimulate theoretical discussion and cross-domain investigation by reframing complexity through a geometric lens.