Model lowers expected cancellations to about 12 among Seattle departures 9 PM–midnight Friday
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- Resolved: closed without a new report (The forecast window has started; measured delays are reported separately as observed items.)
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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 expects about 6 cancellations among Seattle departures 9 PM–midnight Friday
Adding up each flight’s cancellation probability, Tailodds’ model expects about 6 of the 62 departures scheduled 9 PM–midnight Friday to be cancelled (10%). With calm weather it would expect about 1. From the 4:00 PM PST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target SEA departures 9 PM–midnight 2026-11-13 (cancelled) Expected cancellations ~6.0 over 62 flights Forecast cycle · horizon Fri Nov 13, 4:00 PM PST · 3.5 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-14 01:27 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 expected cancellations to about 10 among Seattle departures 9 PM–midnight Friday
What changed: about 6 → 10 expected cancellations since the 4:00 PM PST forecast
Adding up each flight’s cancellation probability, Tailodds’ model expects about 10 of the 61 departures scheduled 9 PM–midnight Friday to be cancelled (16%). With calm weather it would expect about 1. From the 6:00 PM PST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target SEA departures 9 PM–midnight 2026-11-13 (cancelled) Expected cancellations ~10.0 over 61 flights Forecast cycle · horizon Fri Nov 13, 6:00 PM PST · 2.0 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-14 02:57 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 expected cancellations to about 23 among Seattle departures 9 PM–midnight Friday
What changed: about 10 → 23 expected cancellations since the 6:00 PM PST forecast
Adding up each flight’s cancellation probability, Tailodds’ model expects about 23 of the 61 departures scheduled 9 PM–midnight Friday to be cancelled (38%). With calm weather it would expect about 1. From the 7:00 PM PST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target SEA departures 9 PM–midnight 2026-11-13 (cancelled) Expected cancellations ~23.2 over 61 flights Forecast cycle · horizon Fri Nov 13, 7:00 PM PST · 1.1 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-14 03:56 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 expected cancellations to about 12 among Seattle departures 9 PM–midnight Friday
What changed: about 23 → 12 expected cancellations since the 7:00 PM PST forecast
Adding up each flight’s cancellation probability, Tailodds’ model expects about 12 of the 61 departures scheduled 9 PM–midnight Friday to be cancelled (20%). With calm weather it would expect about 1. From the 8:00 PM PST forecast (model famB-sd-v4i). This is a forecast, not a report of cancellations.
Evidence for this update
Target SEA departures 9 PM–midnight 2026-11-13 (cancelled) Expected cancellations ~12.2 over 61 flights Forecast cycle · horizon Fri Nov 13, 8:00 PM PST · 0.0 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-14 04:57 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful?
Closed Fri Nov 13, 9:01 PM PST: The forecast window has started; measured delays are reported separately as observed items.