Updated model puts JFK departure delay risk 6–9 PM Friday at 64%
- Current state
- Resolved: closed without a new report (The forecast window has started; measured delays are reported separately as observed items.)
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- Updates
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Tailodds reports what the FAA publishes, what we measure and what our model forecasts. It doesn’t control airport operations or change bookings; check with your airline about your trip.
Updates oldest first
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Initial Forecast
Model forecasts 55% delay risk for JFK departures 6–9 PM Friday
Tailodds’ model gives the 92 departures scheduled from JFK 6–9 PM Friday an average 55% chance of leaving 15+ minutes late. With calm weather the same flights would average 26%. From the 7:00 PM EST forecast (model famA-fc-v3). This is a forecast, not a report of delays.
Evidence for this update
Target JFK departures 6–9 PM 2026-11-06 (15+ min late) Probability (calibrated, mean per flight) 55% over 92 flights Forecast cycle · horizon Thu Nov 5, 7:00 PM EST · 21.5 h ahead Model version famA-fc-v3 Source event time Ingested Published here (2026-11-06 01:28 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
Escalation Forecast
Model raises JFK departure delay risk 6–9 PM Friday to 58%
What changed: 55% → 58% since the 7:00 PM EST forecast (same model, same window)
Tailodds’ model gives the 97 departures scheduled from JFK 6–9 PM Friday an average 58% chance of leaving 15+ minutes late. With calm weather the same flights would average 26%. From the 9:00 PM EST forecast (model famA-fc-v3). This is a forecast, not a report of delays.
Evidence for this update
Target JFK departures 6–9 PM 2026-11-06 (15+ min late) Probability (calibrated, mean per flight) 58% over 97 flights Forecast cycle · horizon Thu Nov 5, 9:00 PM EST · 20.0 h ahead Model version famA-fc-v3 Source event time Ingested Published here (2026-11-06 02:57 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
De-escalation Forecast
Model lowers JFK departure delay risk 6–9 PM Friday to 55%
What changed: 58% → 55% since the 9:00 PM EST forecast (same model, same window)
Tailodds’ model gives the 97 departures scheduled from JFK 6–9 PM Friday an average 55% chance of leaving 15+ minutes late. With calm weather the same flights would average 26%. From the 12:00 AM EST forecast (model famA-fc-v3). This is a forecast, not a report of delays.
Evidence for this update
Target JFK departures 6–9 PM 2026-11-06 (15+ min late) Probability (calibrated, mean per flight) 55% over 97 flights Forecast cycle · horizon Fri Nov 6, 12:00 AM EST · 17.1 h ahead Model version famA-fc-v3 Source event time Ingested Published here (2026-11-06 05:56 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
Escalation Forecast
Updated model puts JFK departure delay risk 6–9 PM Friday at 64%
What changed: 55% → 64% since the 12:00 AM EST forecast (model changed)
Tailodds’ model gives the 97 departures scheduled from JFK 6–9 PM Friday an average 64% chance of leaving 15+ minutes late. With calm weather the same flights would average 26%. From the 7:00 AM EST forecast (model famA-fc-v3+famB-sd-v4i). The model changed since the previous item (from famA-fc-v3), so some or all of this change comes from the new model rather than new information. This is a forecast, not a report of delays.
Evidence for this update
Target JFK departures 6–9 PM 2026-11-06 (15+ min late) Probability (calibrated, mean per flight) 64% over 97 flights Forecast cycle · horizon Fri Nov 6, 7:00 AM EST · 9.1 h ahead Model version famA-fc-v3+famB-sd-v4i (changed since the previous update) Source event time Ingested Published here (2026-11-06 13:56 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful?
Closed Fri Nov 6, 6:00 PM EST: The forecast window has started; measured delays are reported separately as observed items.