Goodhart's Law: When a Measure Becomes a Target
Goodhart's Law explained through its origin in monetary policy, Strathern's famous phrasing, the four flavors of Goodhart, surrogation, reward hacking, and how to defend against it.
June 2026
The Spacing Effect: Why Cramming Fails and Spaced Practice Wins
The spacing effect explained through Ebbinghaus's original work, the Cepeda meta-analysis, and Bjork's desirable difficulties, with a practical guide to spaced study.
Productivity Evidence Map: What the Research Actually Supports
Common productivity claims rated by how strong the research behind them really is. Robust principles - the cost of task-switching, specific goals, and if-then plans - separated from popular-but-unproven tactics like the 'optimal' Pomodoro ratio or the single 'best' system, with what to actually do about it.
Cognitive Bias Evidence Map: Robust vs. Failed-to-Replicate Biases
An evidence map of well-known cognitive biases rated by how well they replicate - separating robust findings (anchoring, framing, confirmation bias) from contested ones (ego depletion, social priming).
Learning Science Evidence Map: What the Research Actually Shows
A sourced evidence map of core learning-science findings: each technique rated by evidence strength and effect type, with every claim linked to a named peer-reviewed study.
AI for Knowledge Work: Practical Workflows, Prompts, and Limits
A practical hub for using AI in real knowledge work - research, writing, analysis, and learning - without losing quality or trust. Concrete workflows, prompting principles, and a non-negotiable verification step.
Better Decisions Under Uncertainty: A Practical Guide and Toolkit
A practical guide to decision-making under uncertainty: the core cognitive biases, probabilistic thinking, premortems, a decision journal template, and a bias checklist you can apply immediately.