Overview
Validate decisions via follow-up metrics (fit, regret, and consistency) and iterate.
Why validation matters (zh-aligned)
Without validation, methods cannot improve (A3) and claims cannot be falsified. Validation turns theory into measurable practice.[^1]
Validation protocol (template)
- Pre-register needs and criteria (M1/M2 artifacts).
- Define a time window (7 days / 30 days).
- Measure:
- regret score,
- need-consistency,
- fit score stability,
- switching/return behavior (when applicable). - Write a short post-mortem: what signals misled you?
- Update your heuristics or weights for next time.
References
- Popper, K. R. (1959). The Logic of Scientific Discovery. Routledge. (Original work published 1935)[source]
- Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.[source]