Michael Rejent has been controlling air traffic at Newark for nearly thirty years, managing organized chaos — radar screens updating every two seconds, six departing jets requesting clearance simultaneously, pilots calling in with engine problems on the apron.
Controllers are treated as puzzle-solvers operating in real time, managing sequences and contingencies with practiced ease. Rejent is good at this, and in a specific and measurable way, he is becoming worse at it.
The transition from old radar systems to modern ones happened gradually across U. S. towers in the late 1990s and early 2000s. Older equipment refreshed every ten seconds. Controllers developed a distinctive cognitive rhythm — scanning the full scope every eight to ten seconds, anchoring themselves with a quick verbal loop, then looking away. The brain wires itself to expect information on a ten-second cycle. Attention becomes periodic.
Modern radar updates every two seconds. What happens to Rejent's nervous system when the update rate doubles is not an abstraction. His trained attentional rhythm, built across three decades into something automatic, is now mistimed to the data arriving in front of him. The information he expects to be stable for eight seconds has already shifted twice. The verbal loop he runs to anchor his mental model contradicts the screen before he finishes saying it. His experience becomes a liability.
This is not a failure of intelligence or effort. What happens when the environment changes faster than the nervous system can recalibrate. Rejent knows his systems better than someone fresh from training, yet he cannot trust his own reflexes anymore. Newly trained controllers, working without the ten-second expectation baked into their neurology, adapt faster to modern systems because they have nothing to unlearn.
Any craft that demands sustained focus under load rewards experience until the system shifts beneath it. A radiologist trained on one imaging technology faces the same problem when a new one arrives. A trader whose pattern recognition was calibrated to markets of one volatility profile struggles when market structure changes. You become expert at the world as it was, then the world updates and your expertise becomes the very thing slowing you down. The solution is not to retrain or replace the experienced person.