An insurer uses claim statistics to calculate that the probability of a disabling injury in a certain occupational class is 1 in 100, while an individual worker perceives the risk as much higher because a coworker was recently injured. These two perspectives best illustrate:

Why A is correct

Objective risk is the measurable, statistical variation in losses determined through the law of large numbers — the insurer's 1-in-100 figure. Subjective risk is the personal, emotional perception of uncertainty, which may differ greatly from the statistical reality — the worker's heightened fear. Insurers rely on objective risk to set premiums; recognizing the difference between objective and subjective risk helps explain why individuals often buy or avoid coverage in ways that diverge from actuarial predictions.

Why the other options are wrong

• B) Pure and speculative risk classify the nature of the exposure (loss only versus gain or loss), not the accuracy of measurement or perception.
• C) Moral and morale hazards are conditions that increase the chance of loss, not different ways of perceiving or measuring risk.
• D) Peril is the cause of loss and hazard is a condition increasing its likelihood; neither describes statistical measurement versus personal perception.

Memory hook

Objective = the spreadsheet's odds. Subjective = the gut feeling that whispers 'maybe me.'