When the Cockpit Looks Right and Still Goes Wrong

By Captain Bassani | ATPL B-727/DC-10/B-767 | Former Senior Aviation Accident Inspector - SIA PT | Speaker | Author | https://www.personalflyer.com.br | captbassani@gmail.com - Jun/2026

After more than three decades around cockpits, I’ve learned that the most dangerous moments are not always when the airplane “looks wrong”. Sometimes the real threat appears when everything looks perfectly right: stable flight path, plausible modes, clean ECAM/EICAS, aligned PFDs, and yet the aircraft is quietly drifting away from what we actually intend it to do.

Human factors researchers refer to this as Cognitively Coherent Misalignment (CCM): an internally consistent cockpit picture that supports an externally wrong outcome. In plain language, our mental model, built from instruments, modes and experience, is coherent, disciplined and wrong. And as pilots, we act with competence and conviction on that model, not on reality.

Inside the cockpit: when the brain “closes the case”

Picture a quiet night in cruise. The automation is doing exactly what it “should”, the FMA shows nothing surprising, the flight is on rails. In that environment, the brain does what it’s wired to do: it hunts for coherence. When several cues reinforce the same story, any weak signal that doesn’t fit the narrative tends to be ignored.

I still remember one of those nights. Everything was stable, chatter calm, black sky outside. At some point I noticed a small change in speed and energy trend that didn’t quite match what I was expecting. No alarms, nothing dramatic, just a vague sense that the story on the panel was a bit too neat. A few seconds of deeper cross‑check with the PM, a subtle automation adjustment, and the situation came back exactly where we wanted it. From the cabin’s point of view, nothing happened. From the cockpit’s point of view, it was a reminder of how easily the brain can relax into a coherent narrative, even when it has quietly started to drift.

In many modern accidents, the same dynamic exists, only amplified by startle, surprise, fatigue, time pressure and much higher cognitive load.

A real example: when the story doesn’t break in time

The Air France 447 accident is a painful example of how automation, “reasonable” indications and mental models can combine against the crew. In night cruise over the Atlantic, pitot tubes iced up, the autopilot and autothrust disconnected, protections degraded and the aircraft reverted to Alternate Law. What followed was a long struggle with inconsistent airspeed information, changing flight‑control laws, repetitive stall warnings and a vertical profile that never matched the mental picture in the crew’s heads.

For minutes, the aircraft remained in a fully developed aerodynamic stall while the crew, under intense stress and startle, did not fully recognise the condition. The investigation pointed to a mix of factors: limited understanding of system behaviour in failure modes, loss of situational awareness, degraded CRM under stress and flight‑deck feedback that did not make the true energy state intuitively obvious. In CCM terms, the cockpit provided a narrative that was “plausible enough” to delay recognition of the critical divergence, and once startle and overload kicked in, rebuilding the mental model became dramatically harder.

Beyond the maneuver: training the mental model

Recent thinking, from “my next book, Beyond the Maneuver,” and from dedicated startle-and-surprise research, converges on a simple idea: it is not enough to train the correct maneuver; we must train the brain to abandon a compelling story and accept that something does not fit.

Regulators and industry are already moving in that direction

EASA’s Startle Effect Management work shows how startle and surprise can trigger everything from distraction to freezing, over‑controlling and rushed decisions, and calls for training that measures not only the maneuver but also time to reaction and recovery of situational awareness.

Airbus talks explicitly about resilience training to help crews overcome startle and temporary loss of SA and to respond in a controlled, not impulsive, way when reality contradicts the mental model.

Mode‑confusion and automation studies underline that it is not enough to prove that the system “works”; we must ask how quickly the pilot detects the divergence between what the automation is doing and what they think it is doing.

In other words, modern training has to go beyond “push, roll, power, stabilise”. It has to teach pilots to recognise the moment when the cockpit is too coherent with a wrong story – and to use cognitive tools and CRM to challenge that story in time.

Why cognitively coherent misalignment matters to us

Cognitively coherent misalignment gives a name to something most of us have felt: that phase where all the instruments seem to “agree” on a reading of the situation… until we realise that our vertical profile, energy or track have drifted much further than we thought.

Research from NASA Ames, MIT, Embry‑Riddle and others shows that in highly integrated systems with correlated outputs, coherent errors are more dangerous than obvious ones, because they do not generate immediate cognitive dissonance. Under workload, the brain privileges consistency: if five cues tell the same story, the sixth has to shout very loudly to be believed.

For design and operations, that has clear implications

Flight‑deck interfaces must make the right signal dominant under load – through layout, salience, dynamics and cognitively independent redundancy, not just technical redundancy.

Training should expose crews to scenarios where “everything looks right, until the critical point”, and then measure how long we take to question our own mental model.

CRM and the Pilot Monitoring role need to be used deliberately as divergence detectors, with clear language to say “something here doesn’t add up”, even when the panel looks perfect.

Written from the cockpit

I’m not writing this from a lab or a ATO office. I’m writing as someone who has spent thousands of hours on both sides of the cockpit, who has made mistakes, corrected others, and watched excellent colleagues fighting through long nights, clever automation and very human moments of startle in phases of flight where “nothing was supposed to happen”.

As a captain and accident investigator, I worry less today about the obvious mistake and more about the coherent mistake: the one where the crew works hard, together, professionally, but all in the service of a mental model that the cockpit never forced them to question.

If we can bring concepts like startle, mental models, cognitively coherent misalignment and cognitive resilience into training, into system design and into our cockpit culture, we move one step closer to avoiding a future where a “correct” cockpit presentation continues to lead us to the wrong outcomes.

Safe flights

Captain Luiz BASSANI

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References

EASA. Startle Effect Management (EASA_REP_RESEA_2015_3).

BEA. Final Report: Accident on 1 June 2009 to Airbus A330-203, Air France AF447.

Silva, S. S., & Hansman, R. J. Divergence Between Flight Crew Mental Model and Aircraft System State in Auto-Throttle Mode Confusion Accident and Incident Cases.

NASA Langley. Methodology for Mode Awareness.

EASA. CRM Training Implementation.

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