Campbell’s Law

Campbell’s Law is the metric-corruption principle used in 139. 为什么伟大不能被计划：有志者事竟成，吗？: when a quantitative indicator becomes important enough for decision-making, people and institutions will tend to optimize, game, or corrupt it, weakening the indicator’s relationship to the underlying purpose.

The episode uses it to extend Objective Deception from algorithms and personal choices into organizations and public policy. GDP targets, bounties, prohibition enforcement, fossil-piece rewards, executive bonuses, school testing, and research funding can all become cases where the measurable proxy reshapes behavior. The source does not argue that measurement is always wrong; it argues that major social and scientific decisions become fragile when leaders mistake proxy control for reality control.

Key Claims

• A metric becomes more vulnerable as stakes around the metric rise.
• Indicator pressure can create corruption, short-termism, gaming, and purpose displacement.
• Quantification can be necessary for fairness in some contexts, but necessary measurement should not be romanticized as neutral or complete.
• The more complex the system, the more dangerous it is to treat one metric as the whole map.
• Research policy needs room for non-targeted exploration because short-term economic metrics can starve future possibility space.

Connections

• Objective Deception - general search-space failure behind false target confidence.
• Data-Driven Product Culture - adjacent organization pattern where metrics are powerful but bounded.
• Business Fluent Design - design/product work should understand KPI without becoming captive to KPI.
• AI Investment Metrics and Ecommerce Surface Metrics Risk - existing metric-risk pages where visible indicators can mislead.
• Non-Consensus Innovation - metric-heavy organizations may struggle when new categories lack stable benchmarks.
• Scientific Self-Correction - measurement must remain open to correction rather than become an untouchable proxy.