NTSB finding section · Personnel issues › Psychological

Cases
109
In the probable cause
79 (72%)
Fatal cases
56
NTSB code
020210

NTSB has coded findings and defining events since 2008. Earlier cases used its older occurrence and cause codes, so they aren’t counted here.

When and where

In green, cases where NTSB made it part of the probable cause; in gray, a factor or other finding. Findings are coded with the final report, often a year or more after the event, so the latest years are incomplete.

Cases per year

2008In the probable causeFactor only2026
Cases with Personality/attitude per year: 109 cases
20085
20098
20102
20117
20127
201310
20145
20156
201610
201713
20187
20197
20203
20218
20223
20233
20242
20253
Query with SQL
duckdb -csv -c "SELECT year(c.\"eventDate\") AS year, count(DISTINCT f.case_mkey) AS cases,
    count(DISTINCT f.case_mkey) FILTER (WHERE f.\"inProbableCause\") AS in_probable_cause
  FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' f JOIN 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c ON c.\"mKey\" = f.case_mkey
  WHERE starts_with(f.\"findingCode\", '020210') AND c.\"eventDate\" >= DATE '2000-01-01'
  GROUP BY 1
  ORDER BY 1"

Prints the counts as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

Subsections · 6

Query with SQL
duckdb -csv -c "SELECT left(f.\"findingCode\", 8) AS code, max(f.\"tier4Name\") AS name,
    count(DISTINCT f.case_mkey) AS cases,
    count(DISTINCT f.case_mkey) FILTER (WHERE f.\"inProbableCause\") AS in_probable_cause
  FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' f
  WHERE starts_with(f.\"findingCode\", '020210') AND f.\"findingCode\" GLOB '[0-9][0-9]*'
  GROUP BY 1
  ORDER BY cases DESC, code"

Prints the counts as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

In the same cases

Query with SQL
duckdb -csv -c "WITH matched AS (SELECT DISTINCT case_mkey, aircrafts_position FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' WHERE starts_with(\"findingCode\", '020210'))
  SELECT * FROM (
  SELECT 'Defining event' AS kind, e.\"tier2Number\" AS code, max(e.\"eventTier2Name\") AS name, count(DISTINCT f.case_mkey) AS cases
  FROM matched f JOIN 'https://openairdocs.org/data/latest/ntsb_events.parquet' e ON e.case_mkey = f.case_mkey AND e.aircrafts_position = f.aircrafts_position AND e.\"isDefiningEvent\"
  WHERE e.\"tier2Number\" <> ''
  GROUP BY ALL
  UNION ALL
  SELECT 'Aircraft model', a.aircraft_model_code, any_value(concat_ws(' ', m.manufacturer, m.model)), count(DISTINCT f.case_mkey)
  FROM matched f JOIN 'https://openairdocs.org/data/latest/ntsb_aircrafts.parquet' a ON a.case_mkey = f.case_mkey AND a.position = f.aircrafts_position
  LEFT JOIN 'https://openairdocs.org/data/latest/faa_aircraft_model.parquet' m ON m.code = a.aircraft_model_code
  WHERE a.aircraft_model_code IS NOT NULL
  GROUP BY ALL
  UNION ALL
  SELECT 'Other finding', left(g.\"findingCode\", 8), max(g.\"tier4Name\"), count(DISTINCT g.case_mkey)
  FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' g
  WHERE g.case_mkey IN (SELECT case_mkey FROM matched) AND NOT starts_with(g.\"findingCode\", '020210') AND g.\"findingCode\" GLOB '[0-9][0-9]*'
  GROUP BY ALL
  )
  QUALIFY row_number() OVER (PARTITION BY kind ORDER BY cases DESC) <= 10
  ORDER BY kind, cases DESC"

Prints the counts as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

Newest cases · 109

NTSB ANC25LA083Accident · No injuriesClass 4 · LimitedFinal reportAviat A-1B · Chisana, AKThe pilot’s failure to maintain clearance from terrain while maneuvering at low altitude.Aug 2, 2025 · N900HY · Substantial damageNTSB ANC25LA064Accident · No injuriesClass 4 · LimitedFinal reportRobinson Helicopter R44 II · Palmer, AKThe pilot’s diverted attention during takeoff in flat light conditions, which resulted in a loss of visual reference with terrain.Jun 30, 2025 · N531AT · Substantial damageNTSB ERA25LA251Accident · Minor injuriesClass 4 · LimitedFinal reportPiper PA-22-135 · Elberta, ALPilot’s decision to take off from a wet and unmaintained field that was unsuitable for airplane operations, resulting in a loss of control and subsequent nose over. Contributing was the pilot’s self-induced pressure to complete the flight.Jun 27, 2025 · N3228B · Substantial damageNTSB CEN25LA049Accident · Serious injuriesClass 4 · LimitedFinal reportPiper PA-28-140 · Camdenton, MOThe pilot’s poor flight planning which resulted in a loss of engine power due to fuel exhaustion.Nov 24, 2024 · N6575W · Substantial damageNTSB WPR24FA124Accident · 1 fatalClass 3 · FieldFinal reportGulfstream 695A · San Bernardino, CAThe pilot’s continued use of the airplane’s autopilot after flight into moderate to severe icing conditions, which resulted in an exceedance of the airplane’s critical angle of attack and an aerodynamic stall.Apr 14, 2024 · N965BC · DestroyedNTSB WPR24FA040Accident · 3 fatalClass 3 · FieldFinal reportPiper PA-28-180 · Mertzon, TXThe non-instrument-rated pilot’s continued visual flight into night instrument meteorological conditions, which resulted in spatial disorientation and subsequent loss of control. Contributing to the accident was the pilot’s overconfidence.Nov 26, 2023 · N7763W · DestroyedNTSB CEN23FA190Accident · 1 fatalClass 3 · FieldFinal reportBeech E-90 · Winslow, ARThe pilot’s poor preflight decision to depart into known instrument meteorological conditions (IMC) without a functional autopilot system, which resulted in spatial disorientation and his failure to maintain aircraft control while flying in IMC during the…May 17, 2023 · N522MJ · DestroyedNTSB CEN23LA186Accident · Serious injuriesClass 4 · LimitedFinal reportBeech F33A · Tahlequah, OKThe pilot’s failure to remove the wheel chocks before engine start which resulted in the inadvertent contact with the propeller while the engine was running.May 6, 2023 · N2294L · Minor damageNTSB CEN23LA091Accident · No injuriesClass 4 · LimitedFinal reportCessna 150G · Pocahantas, IAThe pilot’s landing flare which resulted in a bounced landing and the nose landing gear collapsing. Contributing to the accident was the airplane's encounter with adverse weather conditions which led to structural icing that affected flight characteristics…Dec 20, 2022 · N2930J · Substantial damageNTSB ERA23FA048Accident · 1 fatalClass 3 · FieldFinal reportBeech A36 · Harlan, KYThe pilot’s visual flight rules flight into instrument meteorological conditions during an approach to land at an airport in mountainous terrain, which resulted in controlled flight into terrain. Contributing to the accident was the pilot’s hazardous…Nov 3, 2022 · N84R · Destroyed
See all 109 cases
Query with SQL
duckdb -csv -c "SELECT c.\"ntsbNumber\", c.\"eventDate\", c.\"eventType\", c.\"eventCity\", c.\"eventStateOrRegion\", a.n_number, a.\"aircraftMake\", a.\"aircraftModel\", c.\"highestInjuryLevel\", c.\"totalFatal\", c.\"completionStatus\", c.report_url
  FROM 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c LEFT JOIN 'https://openairdocs.org/data/latest/ntsb_aircrafts.parquet' a ON a.case_mkey = c.\"mKey\" AND a.position = 1
  WHERE c.\"mKey\" IN (SELECT f.case_mkey FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' f WHERE starts_with(f.\"findingCode\", '020210'))
  ORDER BY c.\"eventDate\" DESC, c.\"ntsbNumber\" DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.