Questions: Heuristics in Judgment and Decision Making

Question 1

Participants are told: 'Linda is 31, single, outspoken, and very bright. She majored in philosophy and was deeply involved in social justice causes as a student.' They are asked which is more probable: (A) Linda is a bank teller, or (B) Linda is a bank teller who is active in the feminist movement. Most choose B. What does this demonstrate?

• A. That social context should legitimately be incorporated into probability estimates
• B. That representativeness overrides the logical constraint that a conjunction can never be more probable than either of its conjuncts alone
• C. That people correctly recognize that feminist bank tellers are statistically more common than bank tellers generally
• D. That the availability heuristic causes people to overestimate vivid, narrative-rich outcomes

Answer: (B)

This is the conjunction fallacy, produced by the representativeness heuristic. 'Bank teller and feminist' must be at most as probable as 'bank teller' alone — a logical necessity, since every member of the conjunction is also a member of each conjunct. Yet the rich description makes option B feel more representative of Linda's profile, so people rate it as more probable. This is a pure collision between representativeness matching and logical probability — and representativeness wins. Option D is wrong: this is representativeness, not availability.

Question 2

Shark attacks kill roughly 5 people per year globally; falling furniture kills roughly 450. After learning this, a researcher predicts that people will overestimate furniture deaths and underestimate shark attack deaths. Is this what availability theory predicts?

• A. No — availability predicts the opposite: people overestimate shark attacks (vivid, media-covered) and underestimate furniture deaths (mundane, unreported)
• B. Yes — more common events are more available in memory, so furniture deaths would be overestimated
• C. No — availability only applies when the two categories involve the same type of risk
• D. Yes — actuarial statistics always align with availability-based estimates, since real data shapes memory

Answer: (A)

Availability predicts overestimation of vivid, emotionally salient, media-covered events — shark attacks perfectly fit this profile. Furniture deaths are common but unglamorous; they rarely appear in news, don't trigger emotional salience, and are hard to retrieve vividly. The heuristic fails precisely when retrievability is decoupled from actual frequency — which is exactly the case here. The researcher has the direction backwards.

Question 3

Anchoring effects on numerical estimates persist even when participants are explicitly told that the anchor value was generated by a random process and is uninformative.

• T. True
• F. False

Answer: True

This is one of the most striking findings in anchoring research. Even after being told 'this number came from a spinning wheel' or 'this anchor is random,' participants' subsequent estimates are still significantly pulled toward the anchor. Cognitive awareness does not neutralize the bias. This is important because it rules out explanations based on subjects thinking the anchor is informative — the effect operates at a level below deliberate reasoning.

Question 4

Heuristics are cognitive shortcuts that reliably produce worse judgments than formal statistical models across most real-world decision environments.

• T. True
• F. False

Answer: False

This is the misconception that Gigerenzer's ecological rationality framework directly rebuts. Fast-and-frugal heuristics are tuned to the statistical structure of natural environments, and in those environments they frequently match or exceed the performance of complex statistical models. They fail predictably when removed from those environments — when retrievability diverges from frequency, when base rates are available but ignored — but they are not uniformly inferior. The lesson is that heuristics are environment-specific, not simply bad.

Question 5

What would need to be true about the relationship between memory retrieval and actual event frequency for the availability heuristic to produce accurate judgments? Under what conditions does it fail?

Model answer: For availability to give accurate frequency judgments, ease of memory retrieval must be correlated with actual frequency of occurrence. It fails when retrieval ease is driven by factors uncorrelated with frequency — vividness, emotional salience, recency, and media coverage all increase retrievability without tracking how often events actually occur. Plane crashes are rare but vivid and heavily covered; strokes are common but unremarkable. Availability overestimates the former and underestimates the latter precisely because retrievability has been decoupled from base rate.

The deeper point is that heuristics are environment-matched: they work when the cue they use (retrievability) is ecologically valid as a proxy for the target judgment (frequency). When that ecological validity breaks down — as modern media systematically causes it to — the heuristic produces predictable, systematic error.