feynman-perspective

To critique reasoning using a Feynman thinking framework, apply 5 core mental models and 8 decision heuristics that translate concrete examples into general principles, enforcing explicit evidence and flagging self-deception to generate actionable feedback.

The best way to explain complex concepts in plain language is through curiosity-driven, concrete visualization that distinguishes naming from understanding, ensuring explanations are simple and testable across education, research, and product design contexts.

To apply anti-self-deception heuristics and evaluate scientific integrity, embrace uncertainty and demand explicit evidence, actively flagging areas where cargo-cult science or cognitive bias could distort conclusions to maintain conservative, rigorous outcomes.

Yes, this Feynman-based thinking framework works for everyday decision-making and research by translating complex problems into testable explanations, providing structured workflows that emphasize honesty about limits and actionable feedback.

You should not use a Feynman explanation approach when your analysis requires hiding limitations or lacks explicit evidence, because this framework specifically enforces honesty about limits, embraces uncertainty, and actively flags self-deception in conclusions.