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.该论文首先探讨了优化陷阱（Optimization Trap）这一描述性概念，该概念用于刻画一类场景：为提升可量化绩效所付出的努力，反而开始干扰系统原本旨在实现的底层功能。该概念并未聚焦于表征或受众效应，而是针对此类情形：系统输出虽仍保持内部一致性，但其与现实世界情境或目标的契合度却逐渐衰减。本分析将优化陷阱置于指标优化、效率权衡与组织系统行为的更广讨论框架内，并援引三类实例：变得难以解读的会员忠诚度计划、削弱运营韧性的人员配置模型，以及优先考量参与度信号而非关系持续性的内容系统。本文作为一篇探索性工作论文，旨在提供一种概念视角，用于探究复杂中介化环境中，优化实践如何影响系统保真度、感知与意义建构，且未就效率、意图或技术设计作出规范性评判。