voidly
PH · per-country backtest

Philippines forecast vs reality

Every Voidly Sentinel shutdown-risk forecast for Philippines, plotted against what actually happened. 57 (predicted, observed) pairs from the rolling 30-day evaluation window.

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

Forecasts evaluated
57
since Apr 17
Accuracy @ 0.5
43.9%
25/57 correct
Brier score
0.446
lower is better
Observed positive rate
51%
mean predicted 8%

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 17Jun 8

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

All 57 predictions (newest first)

Eval dateForecastPred ≥ 0.5?Observed?Correct?
Jun 86.1%no event
Jun 75.2%no event
Jun 62.9%no event
Jun 52.9%no event
Jun 45.3%no event
Jun 33.7%no event
Jun 24.6%no event
Jun 14.6%shutdown
May 314.0%shutdown
May 3069.0%shutdown
May 304.4%shutdown
May 294.3%shutdown
May 2840.0%shutdown
May 283.6%shutdown
May 2740.0%shutdown
May 273.8%shutdown
May 263.5%shutdown
May 254.8%no event
May 244.9%no event
May 2340.0%no event
May 233.8%no event
May 224.8%no event
May 2170.3%no event
May 203.6%no event
May 195.0%no event
May 185.5%no event
May 174.1%no event
May 163.1%no event
May 154.6%no event
May 144.1%no event
May 134.4%shutdown
May 123.9%shutdown
May 114.0%shutdown
May 103.7%shutdown
May 94.4%shutdown
May 84.3%shutdown
May 73.5%no event
May 63.3%no event
May 54.6%no event
May 44.2%no event
May 34.5%no event
May 24.7%shutdown
May 13.9%shutdown
Apr 303.0%shutdown
Apr 293.3%shutdown
Apr 283.9%shutdown
Apr 274.1%shutdown
Apr 264.4%shutdown
Apr 255.1%shutdown
Apr 245.5%shutdown
Apr 234.2%no event
Apr 225.1%no event
Apr 211.9%no event
Apr 204.4%shutdown
Apr 194.7%shutdown
Apr 183.8%shutdown
Apr 173.7%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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