Applications
Evaluate theories by explanation, not just prediction. When someone claims authority for an idea, ask "what mechanism makes this work?" If they can't explain beyond surface correlation, the theory lacks foundation. Explanatory theories survive encounters with new contexts better than predictive models.
Distinguish between sustaining innovations that improve existing paradigms and paradigm-shifting discoveries that change fundamental understanding. Steam engines improved existing industries; automobiles invented new paradigms. Both predict outcomes, but only paradigm shifts expand explanatory reach.
Seek theories with reach—applicability beyond original domain. Newton's laws apply to planets, projectiles, and molecules. Thermodynamic principles govern engines, information systems, and organizations. When explanation generalizes, it reveals something fundamental about reality rather than accidental correlation.
Build understanding from the ground up rather than relying on prediction alone. Machine learning that predicts without explaining fails when contexts shift. Explanatory knowledge enables adaptation. This is why first-principles thinking beats reasoning by analogy—understanding foundations lets you construct novel solutions.