tailodds FORECAST
Partly stale · checked FAA NAS status 222 h staleForecast cycle 66 minLightning 222 h staleWeather observations no data staleFAA surface data 4 minFAA flight data 5 min

FAA NAS status is stale (222 h old). No FAA restriction can start or end on the wire until it is fresh again.

Lightning is stale (222 h old). Lightning items are paused; thunderstorm items still come from official observations.

Weather observations is stale. Weather items are paused until it is fresh again; missing observations never end a weather event.

Forecast Significant Resolved Delay FLL departures

Model lowers Fort Lauderdale departure delay risk noon–3 PM Tuesday to 53%

Current state
Resolved: closed without a new report (The forecast window has started; measured delays are reported separately as observed items.)
Started
Latest activity
Updates
3
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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

  1. Initial Forecast

    Model forecasts 42% delay risk for Fort Lauderdale departures noon–3 PM Tuesday

    Tailodds’ model gives the 60 departures scheduled from Fort Lauderdale noon–3 PM Tuesday an average 42% chance of leaving 15+ minutes late. With calm weather the same flights would average 24%. From the 1:00 AM EST forecast (model famA-fc-v3+famB-sd-v4i). This is a forecast, not a report of delays.

    Evidence for this update
    TargetFLL departures noon–3 PM 2026-11-03 (15+ min late)
    Probability (calibrated, mean per flight)42% over 60 flights
    Forecast cycle · horizonTue Nov 3, 1:00 AM EST · 9.5 h ahead
    Model versionfamA-fc-v3+famB-sd-v4i
    Source event time
    Ingested
    Published here (2026-11-03 07:27 UTC)
    SourcesTailodds forecast
    Provenanceforecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1
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  2. Escalation Forecast

    Updated model puts Fort Lauderdale departure delay risk noon–3 PM Tuesday at 69%

    What changed: 42% → 69% since the 1:00 AM EST forecast (model changed)

    Tailodds’ model gives the 60 departures scheduled from Fort Lauderdale noon–3 PM Tuesday an average 69% chance of leaving 15+ minutes late. With calm weather the same flights would average 25%. From the 4:00 AM EST forecast (model famB-sd-v4i). The model changed since the previous item (from famA-fc-v3+famB-sd-v4i), 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
    TargetFLL departures noon–3 PM 2026-11-03 (15+ min late)
    Probability (calibrated, mean per flight)69% over 60 flights
    Forecast cycle · horizonTue Nov 3, 4:00 AM EST · 6.7 h ahead
    Model versionfamB-sd-v4i (changed since the previous update)
    Source event time
    Ingested
    Published here (2026-11-03 10:21 UTC)
    SourcesTailodds forecast
    Provenanceforecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1
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  3. De-escalation Forecast

    Model lowers Fort Lauderdale departure delay risk noon–3 PM Tuesday to 53%

    What changed: 69% → 53% since the 4:00 AM EST forecast (same model, same window)

    Tailodds’ model gives the 60 departures scheduled from Fort Lauderdale noon–3 PM Tuesday an average 53% chance of leaving 15+ minutes late. With calm weather the same flights would average 25%. From the 5:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.

    Evidence for this update
    TargetFLL departures noon–3 PM 2026-11-03 (15+ min late)
    Probability (calibrated, mean per flight)53% over 60 flights
    Forecast cycle · horizonTue Nov 3, 5:00 AM EST · 6.0 h ahead
    Model versionfamB-sd-v4i
    Source event time
    Ingested
    Published here (2026-11-03 10:58 UTC)
    SourcesTailodds forecast
    Provenanceforecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1
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Closed Tue Nov 3, 12:01 PM EST: The forecast window has started; measured delays are reported separately as observed items.