Scientific Definition
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Plain-English Definition
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Feynman Explanation
Skip the teach step and you'll relearn the same lesson next year.
Core Principle
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Mechanisms
Pending editorial review.
Three-stage cycle: learn by seeing, learn by doing, learn by teaching — looped continuously.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Skip the teach step and you'll relearn the same lesson next year.
Examples
- Eben Pagan's documented decade of compounding through Learn-Do-Teach.
- Embed in onboarding: every new hire learns, applies, then teaches the next cohort.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Audit your weekly time: are all three present? If not, restructure.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Audit your weekly time: are all three present? If not, restructure.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
Single-loop fixes errors; double-loop questions the assumptions producing them.
Single-loop fixes the action. Double-loop questions the goal or model that produced it.
Single-loop: fix the action. Double-loop: question the governing assumption behind it. Chris Argyris.
Map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior.
Observe, Orient, Decide, Act — faster than your competitor.
Systems that gain from disorder.
Approach motivation — pursuit of rewards and goals.
Avoidance motivation — sensitivity to punishment, uncertainty, and threat.
A system with many interacting parts that learn and adapt.
Many interacting parts producing emergent behavior nobody designed.
System 1 is fast, automatic, intuitive; System 2 is slow, effortful, deliberate.
Interdependent network of actors evolving together.