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ambiguity_aversion
The preference for known risks over unknown risks. People prefer options where the probability of outcomes is known (risk) over options where the probability is unknown (ambiguity), even when the ambiguous option might offer better expected outcomes.
An investor chooses a bond yielding 3% over a stock that could yield 0-10% with an unknown probability distribution, even though the expected return of the stock might be higher.
A hiring manager chooses a familiar but mediocre candidate over an unconventional applicant with an unusual background, even though data suggests non-traditional hires often outperform — the known quantity feels safer.
During a health scare, a patient opts for a standard treatment with a clearly stated 30% success rate over a newer experimental therapy whose outcomes are still being studied, even when early data looks more promising.
Binary (yes/no) questions an LLM must answer to identify this aspect:
Is a decision being made under uncertainty?
Type: binaryIs an option with known probabilities preferred over an option with unknown probabilities, even when the expected value could be higher?
Type: binaryIs the preference driven by discomfort with missing information rather than rational calculation?
Type: binaryThe preference for known risks over unknown risks. People prefer options where the probability of outcomes is known (risk) over options where the probability is unknown (ambiguity), even when the ambiguous option might offer better expected outcomes.
Unknown unknowns feel more threatening than known risks. The inability to calculate probabilities triggers a fear response that overrides rational expected-value calculations.
Distinguish between situations where ambiguity aversion is protective and where it leads to suboptimal decisions. Gather more information to convert ambiguity into quantifiable risk when possible.
Investment decisions, medical treatment choices, career changes, and technology adoption.
Use these tools to detect, analyze, or train this aspect.