Unified catalog frontier

Rank interventions by marginal $/QALY

This page now calls the live Python engine. No baked-in threshold. It returns an ordered frontier, per-item harm/benefit probabilities, transport multipliers, and evidence notes.

What this replaces

No more precomputed 10-intervention toy set

No more hidden threshold in the portfolio logic

Live Monte Carlo over the full catalog

Sleep burden can feed directly into ranking

Age

Sex

Height (cm)

Weight (kg)

Activity level

Sleep hours/night

Current smokerHas diabetes

Has hypertension

Uses the unified Python catalog with `5,000` Monte Carlo draws.

No completed run yet.

Experimental live analysis. Results come from the unified Python catalog, not the old precomputed TS profiles. The page now ranks interventions by marginal cost-effectiveness and shows evidence notes instead of hiding a default threshold.