voidly
IN · per-country backtest

India forecast vs reality

Every Voidly Sentinel shutdown-risk forecast for India, plotted against what actually happened. 28 (predicted, observed) pairs from the rolling 30-day evaluation window.

Updated every 30 min · CC BY 4.0 · Raw JSON · Current forecast →

Forecasts evaluated
28
since Apr 17
Accuracy @ 0.5
32.1%
9/28 correct
Brier score
0.913
lower is better
Observed positive rate
100%
mean predicted 4%

Forecast time series

Blue line: forecast probability. Green ✓ markers: forecast was right. Red ✗ markers: forecast was wrong. Dashed line at 0.5 is the binary decision threshold.

0.000.250.500.751.00threshold 0.50Apr 17May 14

Y axis: forecast probability · Faint tick: distance to observed outcome (0 or 1)

All 28 predictions (newest first)

Eval dateForecastPred ≥ 0.5?Observed?Correct?
May 146.1%shutdown
May 134.4%shutdown
May 124.6%shutdown
May 112.8%shutdown
May 104.0%shutdown
May 94.6%shutdown
May 84.3%shutdown
May 75.9%shutdown
May 65.3%shutdown
May 53.3%shutdown
May 44.3%shutdown
May 34.1%shutdown
May 21.9%shutdown
May 12.7%shutdown
Apr 304.2%shutdown
Apr 292.4%shutdown
Apr 285.4%shutdown
Apr 274.1%shutdown
Apr 264.4%shutdown
Apr 255.3%shutdown
Apr 244.2%shutdown
Apr 237.5%shutdown
Apr 226.6%shutdown
Apr 216.2%shutdown
Apr 203.0%shutdown
Apr 194.2%shutdown
Apr 183.9%shutdown
Apr 175.6%shutdown

How to read this

  • Each row is one historical forecast. We made the prediction at eval_date, then waited the 7-day horizon, then graded against the observed outcome.
  • Forecast % is the calibrated probability we published that day. Post-recalibration (2026-05-20) these now match actual observed rates much better — see the refit finding.
  • Pred ≥ 0.5 shows the binary alert decision. Note we usually fire alerts at a lower threshold (see /v1/sentinel/global_heatmap for the live cutoff) — the 0.5 column here is for backtest scoring consistency with the global confusion matrix.
  • Correct = both (pred ≥ 0.5) and (observed) agree.

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