Structural Biases in Online Evaluation and Creative Survival

This project proposes a structural framework for understanding why creators systematically misinterpret online evaluation signals. It integrates cognitive psychology, audience-layer modeling, statistical bias analysis, and cultural-evolutionary theory to explain how negative feedback becomes overrepresented while genuine support remains under-recognized. The work introduces a three-layer audience structure (core, adjacent, external), clarifies the cost and reliability of different evaluative signals, and identifies genre-specific saturation thresholds that redefine what counts as sufficient support in creative ecosystems. An appendix highlights the role of supportive audiences in positive cultural diffusion, emphasizing that high-cost acts of endorsement carry greater significance than low-cost criticism. The framework provides creators with a foundation for healthier self-evaluation and long-term creative development.