voidly

BangladeshBD

climbing (+15.3pp)

30-day day-by-day shutdown-risk trajectory. Each point is a per-horizon XGBoost prediction (h=1..30) with a 90% conformal band derived from absolute LOCO residuals. Peak risk highlighted.

Peak day
54.6%
d16 · 2026-06-07
Floor day
19.5%
d1 · 2026-05-23
30-day delta
+15.3pp
d30 vs d1 probability

30-day trajectory with 90% conformal band

model trajectory_v1
0%25%50%75%100%d1d7d14d21d30peak d16 55%
mean P(shutdown by day)90% conformal bandpeak day

Drivers (SHAP top 3 from the 7-day model — same features feed all horizons)

day 119.5%
2026-05-23
  • block_rate_roll14_mean-0.019
  • recent_shutdown+0.016
  • gdelt_unrest_30d-0.011
day 734.8%
2026-05-29
  • block_rate_roll14_mean-0.019
  • recent_shutdown+0.016
  • gdelt_unrest_30d-0.011
day 1441.5%
2026-06-05
  • block_rate_roll14_mean-0.019
  • recent_shutdown+0.016
  • gdelt_unrest_30d-0.011
day 3034.7%
2026-06-21
  • block_rate_roll14_mean-0.019
  • recent_shutdown+0.016
  • gdelt_unrest_30d-0.011

Honest caveats

  • Per-horizon XGBoost stacked into a trajectory — not a true joint distribution.
  • Conformal bands are absolute-residual q90 from LOCO predictions on 18 eval countries.
  • Long horizons (h>=14d) have wider effective uncertainty than the conformal q90 suggests; the same lag features feed all horizons.
  • Bands floor at [0,1]; probabilities below 0.05 are at the model's noise floor.
  • SHAP attribution above is from the 7-day point model. The trajectory uses 30 separate per-horizon XGBoost models that share the same feature set; we have not yet computed per-horizon SHAP.

Sample horizons

DayDateP(shutdown)90% interval
d12026-05-2319.5%[0%, 63%]
d72026-05-2934.8%[0%, 99%]
d142026-06-0541.5%[0%, 100%]
d302026-06-2134.7%[0%, 100%]
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