High-effort proof strategies stop producing proportional results because effort does not expand the evaluative capacity of attention-constrained systems. Regardless of production quality, quantity, or presentation refinement, proof signals remain subject to the same finite attention surface.
As effort increases, proof signals often become more frequent, more detailed, or more prominent within the same interface. However, these enhancements increase density rather than evaluative bandwidth. Systems respond by aggregating signals and reducing marginal discrimination between them.
Under sustained conditions of high proof density, additional effort contributes to compression rather than differentiation. The system maintains throughput by treating multiple proof signals as equivalent clusters, limiting the impact of incremental improvements.
This response reflects structural constraints in attention allocation rather than deficiencies in execution, credibility, or intent.