Concept-to-data mapping

- X (Trust density): capacity_factor = mean(L, E, K).
- Y (Fulfillment proxy): effective repair R = repair_avg × capacity_factor.
- Z (Debt proxy): rupture_probability = 1 − R/V (monotonic with contradiction debt).
Interpretation: Higher X,Y with lower Z indicates a stable basin; lower X/Y with higher Z indicates rupture valleys.

Mode & layers

Pluralist Authoritarian Collapsed

Metric transforms & smoothing

If residuals shrink under transforms, divergence is likely measurement-driven; if they persist, that invites theory refinement.

Case filters & toggles

Toggle any country-year; filters apply to the list and the plot.

Add a custom case

Enter CD inputs; we compute \(R_\text{eff} = \text{repair\_avg}\cdot \text{capacity\_factor}\), \(R/V\), and map to (X,Y,Z).
Defaults: X=capacity_factor, Y=R (effective repair), Z=1 − R/V.