Assess risk and benefit on separate scales before comparing

Estimate risk and benefit independently — don’t let the same feeling drive both.

Why it works

When affect is globally positive, people rate benefits as high and risks as low simultaneously — the single feeling drives both ratings from the same source. Forcing independent assessments breaks this coupling because it requires different evidence for each dimension. If your risk estimate and benefit estimate are both driven by the same initial feeling, you’ll notice the problem when you can’t point to separate evidence for each.

How to do it

1. Make two separate lists: one for "reasons this could go wrong" and one for "reasons this could go right."
2. Rate each list’s evidence quality independently (not “how do I feel about this overall”).
3. Look for cases where one list is much stronger than the other — affect often inflates both uniformly even when the evidence diverges.
4. Make the comparison only after both independent assessments are done.

Evidence

Slovic, Finucane, Peters and MacGregor (2002) found that providing information that improved the affect associated with a technology raised its perceived benefit and lowered its perceived risk simultaneously — both driven by the single affect signal. (observational)

Independent assessment reduces but doesn’t eliminate affect contamination; extreme affect (fear or enthusiasm) can re-colonize separate lists through motivated reasoning.

Sources

• Slovic, Finucane, Peters & MacGregor (2002), The affect heuristic, in Heuristics and Biases: The Psychology of Intuitive Judgment (Gilovich, Griffin & Kahneman, eds.)

Common mistake

Making two lists but populating them simultaneously — the independence is lost if the same emotional state is writing both lists at once.