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Indicative · based on ADS-B integrity (NIC) data

All events

Beirut FIR (OLBB)

Integrity drop2026-10-15 11:00Z – 12:00Z · 2 h

Scale
Small
Observation sufficiency
Medium
Aircraft affected
8
In this FIR, last 30 days
No ranking

6 events; not enough events to rank

Low navigation integrity (NIC) in adjacent cells. It does not say what caused it.

Opens the event's day; you choose departure and arrival.

Evidence

Strongest moment (UTC)
12:00 · cell 852d849bfffffffOpen the strongest moment on the map
Aircraft affected that hour
4 / 12 aircraft
Scale basis
8 affected aircraft → Small event
Observation-sufficiency basis
21 aircraft observed, 8 affected.
Aircraft observed in hot hours
21 aircraft (38% affected)
FIR
Beirut FIR (OLBB)
Technical details
Hot cell-hours
4(hour, cell) pairs that make up the event
Cells
3
Data source
adsb.lol (ODbL)
Algorithm version
1.6.0

Hour by hour: before, event, after

Hourly view of the event day: the event hours plus a few hours before and after. Values are the hourly share of affected aircraft across the whole published region network, not of the event's own cells; do not read them as the event's size or cause.

08:00Z Before: 3.4%09:00Z Before: 4.3%10:00Z Before: 4.9%11:00Z Event: 2.2%12:00Z Event: 3.4%13:00Z After: 3.4%14:00Z After: 3.1%15:00Z After: 2.8%08091215▮ Event
Hour (UTC) · 2026-10-15highest 4.9%

Before → Event → After. ○ no data: no aircraft were observed that hour; this does not mean zero interference.

Hourly values (whole region network)
Hour (UTC)PhaseAircraft observedAircraft affectedShare
08:00Before1320453.4%
09:00Before1384594.3%
10:00Before1387684.9%
11:00Event1419312.2%
12:00Event1373463.4%
13:00After1357463.4%
14:00After1415443.1%
15:00After1379392.8%

Indicative · based on ADS-B integrity (NIC) data

What we do not know about this event

  • Cause: jamming, spoofing or a fault in the aircraft's avionics cannot be told apart from this data alone.
  • Coverage: the data comes from a single source (adsb.lol); aircraft where there are no receivers are not seen.
  • Share: the affected-aircraft count is not a share of all aircraft in the region; it covers only aircraft observed in the event's hot cell-hours.
  • Reality: this is an indicator; the event has not been verified by an independent source.

Among this FIR's events in the last 30 days

No ranking is shown: Beirut FIR (OLBB) has 6 comparable events in the last 30 days, which is not enough to rank.

How is it calculated?

An event crossing midnight is stored as two records. The count 6 can therefore be higher than the real number of events, and a split event can look smaller than it was; the rank can shift accordingly.

FIR-wide daily share (secondary context; not the event ranking)

Daily share of aircraft affected (affected / observed) for Beirut FIR (OLBB), over the whole FIR. A large but local event in a wide FIR may barely move this share, so it is not used to judge the event's size.

2026-09-21: 10.5%2026-09-22: 24.9%2026-09-23: 21.7%2026-09-24: 20.3%2026-09-25: 18.4%2026-09-26: 10.6%2026-09-27: 23.3%2026-09-28: 14.8%2026-09-29: 17.7%2026-09-30: 14.8%2026-10-01: 16.6%2026-10-02: 25.3%2026-10-03: 22.4%2026-10-04: 12.6%2026-10-05: 7.1%2026-10-06: 16.5%2026-10-07: 11.4%2026-10-08: 9.7%2026-10-09: 20.6%2026-10-10: 19.5%2026-10-11: 22.5%2026-10-12: 15%2026-10-13: 9.8%2026-10-14: 11.1%2026-10-15: 20%2026-10-16: 29.7%2026-10-17: 29.9%2026-10-18: 15.5%2026-10-19: 10.2%2026-10-20: 7.6%
2026-09-21▮ Event day: 2026-10-15 · 20%2026-10-20

highest 29.9%

Gap: no data for the FIR that day (not zero). Marker: too few aircraft observed that day; no ratio computed.

Daily share of aircraft affected
DayShareAircraft observedEvents
2026-09-2110.5%5611
2026-09-2224.9%3291
2026-09-2321.7%4231
2026-09-2420.3%4001
2026-09-2518.4%4412
2026-09-2610.6%4441
2026-09-2723.3%3171
2026-09-2814.8%4940
2026-09-2917.7%4231
2026-09-3014.8%3791
2026-10-0116.6%4390
2026-10-0225.3%3640
2026-10-0322.4%3711
2026-10-0412.6%4351
2026-10-057.1%4640
2026-10-0616.5%3750
2026-10-0711.4%5271
2026-10-089.7%4420
2026-10-0920.6%3210
2026-10-1019.5%2310
2026-10-1122.5%3460
2026-10-1215%3870
2026-10-139.8%4990
2026-10-1411.1%4150
2026-10-1520%4351
2026-10-1629.7%3230
2026-10-1729.9%3081
2026-10-1815.5%4651
2026-10-1910.2%4801
2026-10-207.6%2510

Secondary: 17 integrity drop event records in this FIR over the last 30 days. An event crossing midnight counts as two records, so the count is not an exact measure.

Data note: on some earlier days unfiltered records from faulty devices may be included, so shares on those days may be slightly high.

Longer history in this region

Integrity drop events with medium or high observation sufficiency for Beirut FIR (OLBB), year by year (from the days in the archive).

YearEventsDays with eventsObservation level
202355 / 318%43 · Moderate
2024297203 / 366%65 · Moderate
202522 / 361%82 · Strong
20261816 / 283%86 · Strong

The observation level is that year's observed aircraft-hours as a share of today's level. As the adsb.lol receiver network grew, observation grew; event counts in low-level years cannot be compared with today's. An event is one cluster of adjacent cell-hours: several unconnected clusters on the same day count as separate events and midnight splits an event in two, so the event count is not a number of separate incidents. This is not a trend or risk claim.

Method and limits
What is this event?
An event is a region of low navigation integrity (NIC) seen in adjacent cells over consecutive hours. It does not say what caused it (jamming, spoofing or a fault).
What does “aircraft affected” mean?
The number of distinct aircraft that reported low NIC in the event's hot cell-hours. It is not a count of all aircraft in the region. Observed aircraft are only those seen in the event's hot cell-hours, not all aircraft in the region. The share should therefore not be read as “the share of aircraft in the area”.
What does observation sufficiency say?
Observation sufficiency comes from the number of aircraft observed and the uncertainty interval of the affected share; it shows how solid the data is. It does not say what caused the event or whether it is real. A reasonable sample. “High” needs more aircraft and a narrow interval.

Indicative · based on ADS-B integrity (NIC) data · Contains information from adsb.lol contributors (ODbL 1.0) · Manzlytics GNSS