Learning Science7 min
The Meta Learner Method: Map, Practice, Test, Adapt
A four-stage method for turning a vague learning ambition into a tested cycle of diagnosis, deliberate practice, evidence, and revision.
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Methods
Durable ways to learn.
Canonical, evidence-led methods for remembering, practising, explaining, and transferring knowledge.
20 published
Methods library
Every page has one canonical home and remains connected to its primary learning domain.
Learning Science7 min
Active Recall: What It Is, Why It Works, and How to Use It
Active recall strengthens accessible memory by making you retrieve before checking. Learn how to design prompts, feedback, and transfer tests.
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Learning Science6 min
Spaced Repetition: A Practical Evidence-Based Guide
Space retrieval over time to make memory more durable, while avoiding overloaded decks, context-free cards, and false precision about schedules.
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Learning Science6 min
Interleaving vs Blocked Practice
Blocked practice repeats one problem type; interleaving mixes related types. Learn when each helps and how to avoid random, premature mixing.
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Learning Science6 min
Deliberate Practice, Feedback, and the Path to Expertise
Deliberate practice targets a specific performance gap with focused attempts, informative feedback, repetition, and recovery.
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Thinking & Decisions6 min
Systems Thinking: Feedback Loops and Second-Order Effects
See behavior as the result of relationships, stocks, flows, delays, and feedback—not isolated events—and design safer interventions.
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Learning Science5 min
Self-Explanation Protocol: Explain, Expose, Repair
Turn an explanation into a diagnostic learning instrument by committing a model, exposing its gaps, repairing them from evidence, and testing transfer.
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Learning Science5 min
The Retrieval-to-Transfer Protocol: From Recall to Real-World Performance
Progress from accurate recall through variation, selection, and distant performance so that memory practice earns a bounded claim about transfer.
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Thinking & Decisions5 min
The Pre-Mortem Method: Surface Failure Before Commitment
Imagine a committed plan has failed, generate independent causes, convert them into evidence and controls, and define stop conditions before launch.
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Thinking & Decisions5 min
The Decision Journal Method: Calibrate Judgment Over Time
Record the decision state before outcomes arrive, then score predictions, separate process from luck, and update recurring judgment patterns.
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Work & Career5 min
Double-Loop Learning: Fix the Rule, Not Only the Error
Correct immediate performance, then test the governing assumption, metric, incentive, or policy that keeps reproducing the same class of error.
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Work & Career5 min
The OODA Loop for Knowledge Work: Observe, Orient, Decide, Act
Use OODA as a learning cycle for changing environments by separating signals, orientation, decision, action, feedback, and tempo from mere speed.
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Thinking & Decisions5 min
The Steelman–Red-Team Protocol: Improve an Argument Before Rejecting It
Reconstruct the strongest supportable argument, secure fidelity, then test its premises, evidence, alternatives, and reversal conditions adversarially.
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Thinking & Decisions5 min
The Ladder of Inference: Slow Down Fast Conclusions
Trace a conclusion back through selected data, meaning, assumptions, and beliefs, then seek missing observations and test a rival interpretation.
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Thinking & Decisions5 min
The Five Whys, With Evidence: Root-Cause Analysis Without Storytelling
Branch each why into evidence-backed causal hypotheses, test interventions, and stop before a neat single-root story replaces a complex system.
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Work & Career5 min
The After-Action Review: Turn Projects Into Institutional Learning
Compare intent with evidence, reconstruct why results diverged, preserve successes and negative findings, and assign a tested change to the next cycle.
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Thinking & Decisions5 min
The Hypothesis Ledger: Track Beliefs, Evidence, and Revisions
Keep hypotheses append-only, define rival predictions before searching, and update confidence from dated evidence without rewriting intellectual history.
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Learning Science5 min
The Transfer Test: Prove a Skill Works Outside Practice
Define transfer distance before practice, remove unavailable supports, test method selection in a changed context, and report the exact boundary passed.
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Learning Science5 min
The Error Taxonomy Method: Learn From Patterns, Not Anecdotes
Define observable error classes, code representative cases with reliability, quantify patterns, route interventions, and retest the taxonomy on new work.
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AI Skills5 min
The Scaffolding-Fade Protocol: Use AI Support, Then Remove It
Define the unsupported target, log every aid, fade one support at a time from performance evidence, restore help when needed, and test unaided transfer.
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