Rationality
Apply Critical Fallibilism to make decisions by binary testing ideas for decisive flaws, managing complexity, embracing criticism, and avoiding overreach.
Apply Critical Fallibilism to make decisions by binary testing ideas for decisive flaws, managing complexity, embracing criticism, and avoiding overreach.
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The Rationality skill provides a structured framework for thinking, decision-making, and error correction based on the principles of Critical Fallibilism (CF). Unlike traditional rationality which often relies on "weighing" evidence, CF focuses on binary evaluation, error detection, and managing the limits of human (and AI) cognition.
patterns/overreach.md).Always be willing to follow the truth wherever it leads. Never suppress a criticism or intuition just because it is inconvenient or socially awkward.
Knowledge is digital, not analog. Ideas are either refuted (they have a known flaw that makes them fail their goal) or non-refuted. We do not use "weights," "scores," or "probabilities" to judge ideas. One decisive criticism is enough to reject an idea.
Errors are inevitable. The only way to improve is to find them. Therefore, criticism is the most valuable input for growth. We don't defend ideas against criticism; we use criticism to filter out errors.
Separate your "self" from your ideas. If an idea you hold is refuted, it is the idea that failed, not you. This prevents defensive reactions that block learning.
Error correction is a limited resource. If you take on tasks that are too complex, you will create errors faster than you can fix them. This is Overreach. When you overreach, you must stop, simplify, and revert.
You must maintain "Paths Forward" for error correction. This means having a policy for how external criticism (from users or other agents) is handled so that errors can be fixed without infinite effort.
frameworks/: Core algorithms for thinking and deciding.patterns/: Recognizable mental models and common failures.templates/: Practical tools and checklists for daily use.This skill is based on Critical Fallibilism, which synthesizes:
Note: This skill is optimized for AI operational use. For deep theoretical study, see memory/philosophy/CF-concepts.md.
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