Hindsight Contamination Rate
Share of observations in a historical evaluation that were not actually available at the claimed cutoff.
The Lab’s projects are organized around five recurring research programmes. Measurement economics connects them: release timing, vintages, definitions, methodology changes, physical evidence and uncertainty are treated as part of the empirical object rather than metadata added at the end.
Reconstruct the information set that actually existed at a historical date, preserve official vintages, quantify revisions and evaluate forecasts without revised-data leakage.
Share of observations in a historical evaluation that were not actually available at the claimed cutoff.
Empirical first-to-later revision distributions and ranking uncertainty instead of treating first estimates as final.
Use physical and high-frequency signals as independent noisy measurements of latent activity, then study disagreement with official first releases rather than automatically calling one side wrong.
Build source-bounded observable firm panels and probabilistic activity states to study hiring, technology adoption, procurement and survival without pretending public evidence equals a census.
Map procurement, SOEs, sovereign capital and industrial-policy interventions, then use dated policy and contract shocks to ask causal questions where the identification supports them.
What did an indicator mean when it was released, how has the measurement system changed, and which economic claims survive those changes?
Test whether rankings, thresholds, trends and public claims remain true across statistical vintages and methodology regimes.
Every material empirical conclusion should survive at least one deliberately hostile but defensible specification before publication.