The Optimization Trap: Optimization and System Behavior (Reality Drift Working Paper Series, 2025)

This paper examines the concept of the Optimization Trap, a descriptive term used to characterize conditions in which efforts to improve measurable performance begin to interfere with the underlying functions systems are intended to support. Rather than focusing on representation or audience effects, the concept addresses situations in which outputs remain internally coherent while their correspondence to real-world conditions or purposes gradually weakens.The analysis situates the Optimization Trap within broader discussions of metric optimization, efficiency trade-offs, and organizational system behavior, drawing on examples such as loyalty programs that become difficult to interpret, staffing models that reduce operational resilience, and content systems that prioritize engagement signals over relational continuity.Presented as an exploratory working paper, the document offers a conceptual lens for examining how optimization practices influence system fidelity, perception, and meaning in complex mediated environments, without asserting normative judgments about efficiency, intent, or technological design.