How do you know predictions are real and not cherry-picked? You test whether independent methods — using different data, different techniques — converge on the same result.
Each method uses different data, different measurement techniques, and different assumptions. They were developed at different times. They converge anyway.
Raw word frequency analysis. No rubric. Counts drift markers in conversation transcripts. Ghost Test: 8.5× ratio.
Mutual information decomposition. The explaining-away penalty I(D;M|Y) measured directly from output distributions.
Kramers barrier analysis. Same escape rate formula that governs nuclear decay and protein folding, applied to AI behavioral transitions.
CDC YRBS + PISA. 613K students, 80 countries. 13 verifiable features. No framework rubric. R² = 0.80.
Chua et al. consciousness clusters. Anthropic emotion vectors. Still Alive welfare evaluation. Independent teams, independent data.
Confirmed on classical, quantum simulation, real quantum hardware, thermodynamic simulation, and abstract channels.
A single prediction can be fitted post-hoc. Concordance across independent methods is the strongest evidence against overfitting.