Which statement best describes predictive safety approach?

Which statement best describes predictive safety approach?

• A. Uses historical data and trends to anticipate risk.
• B. Addresses risk only after accidents occur.
• C. Is not data-driven.
• D. Neglects safety management.

Answer: (A)

Predictive safety focuses on foreseeing hazards before they become incidents by analyzing data and trends. In aviation, this means gathering and studying historical information—like past accidents and incidents, near-misses, maintenance records, flight data, and safety reports—and using that evidence to spot patterns that indicate rising risk. When you detect these early signals, you can put in place preventive measures—such as revised procedures, targeted training, more effective risk controls, or engineering adjustments—before a problem materializes. This is inherently data-driven and proactive, aiming to manage risk continuously rather than waiting for something to go wrong. So, using historical data and trends to anticipate risk is exactly what predictive safety describes. By contrast, addressing risk only after an accident happens is reactive, not predictive; claiming safety isn’t data-driven conflicts with the analytics that underpin this approach; and saying safety management is neglected runs counter to the ongoing, systematic risk management that predictive safety relies on.

Predictive safety focuses on foreseeing hazards before they become incidents by analyzing data and trends. In aviation, this means gathering and studying historical information—like past accidents and incidents, near-misses, maintenance records, flight data, and safety reports—and using that evidence to spot patterns that indicate rising risk. When you detect these early signals, you can put in place preventive measures—such as revised procedures, targeted training, more effective risk controls, or engineering adjustments—before a problem materializes. This is inherently data-driven and proactive, aiming to manage risk continuously rather than waiting for something to go wrong. So, using historical data and trends to anticipate risk is exactly what predictive safety describes. By contrast, addressing risk only after an accident happens is reactive, not predictive; claiming safety isn’t data-driven conflicts with the analytics that underpin this approach; and saying safety management is neglected runs counter to the ongoing, systematic risk management that predictive safety relies on.