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How to ThinkIn the Age of AI
Principlev1PR-494

When auxiliary hypotheses are adjusted after prediction…

When auxiliary hypotheses are adjusted after prediction failure, require the adjustment to generate new testable predictions rather than merely explain away the original failure.

Why This Is a Principle

Derives from Hindsight Bias and Calibration Necessity (memory reconstruction and hindsight bias) and Belief Perseverance Against Contradictory Evidence (belief perseverance). This principle operationalizes Lakatos's distinction between progressive and degenerating research programmes at the personal level. It's prescriptive (tells you what to demand from schema revisions), derived (builds on cognitive biases), and actionable.