Which of the following can cause misperception of information?

• A. Unreliable data
• B. Cognitive biases
• C. All answers are correct
• D. Sensor noise

Answer: (C)

Misperception of information happens when what you interpret doesn’t match the actual situation because the inputs you rely on are flawed, biased, or noisy. Unreliable data can come from stale, corrupted, or conflicting telemetry or sensor readings, which leads you to draw conclusions that don’t reflect reality—like thinking you’re at a different location or altitude than you actually are. Cognitive biases creep in as you interpret data, causing you to favor initial readings, seek out information that confirms your expectations, or ignore signals that don’t fit your mental model. This kind of bias can distort your situational awareness and push you toward decisions that aren’t aligned with the real state of the flight. Sensor noise adds random fluctuations to readings, making displays jittery or showing trends that aren’t truly present, which can delay reaction or cause you to overreact to normal variability.

Because each of these factors can independently distort perception, all of the above can cause misperception of information. To counter this, cross-check data from multiple sources, apply sensor fusion and filtering, ensure regular calibration, and stay aware of biases so you don’t overfit to a single data stream.