Incentive Distortion: Reward vs Value
Misaligned incentives cause systems to optimise for metrics instead of meaning. When rewards outpace real value, performance looks strong but purpose erodes.
When Fear of AI Becomes the Real Risk
Fear of generative AI is often framed as caution. In reality, hesitation entrenches dysfunction — leaving teams buried in duplication and burnout.
The True Cost of Compliance: A Hidden Productivity Tax
Rules that once protected progress now drain it. This essay exposes the hidden productivity tax of outdated compliance — and why rewriting the rulebook is the only way to restore clarity.
Probabilistic Models — Mapping Uncertainty into Insight
Probabilistic Models apply probability theory to quantify uncertainty, turning incomplete data into forecasts that guide risk management, decision-making, and future planning.
Proxy Metrics: Stand-ins for Success vs Substitutes for Reality
Proxy metrics are substitute measures adopted when true outcomes are hard to track. Once they become targets, they often distort behaviour and drift into dysfunction.
Continuous Improvement: The Discipline of Incremental Change
Continuous Improvement, using Kaizen and the PDCA cycle, builds progress through small, disciplined steps — embedding change as a habit rather than a disruption.
Single-Loop Learning: Error Correction Within Stable Assumptions
Detects and corrects errors without questioning underlying rules — effective when assumptions are valid and context stable.
Decision Fatigue: The Hidden Cost of Constant Compliance
Decision Fatigue is the hidden cost of repetitive compliance and micro-decisions. Each reset drains stamina, especially for ADHD users, leading to errors, slower performance, and systemic distrust.
Goodhart’s Law: When Metrics Become Targets
Goodhart’s Law shows how targets distort the very systems they aim to improve. When institutions chase numbers, they optimise appearances rather than outcomes, leaving users trapped in cycles of dysfunctional incentives.