Lecture 11 Flashcards
Risk assessment, perception, attitudes
risk assessment: academic/intellectual field of
identifying, characterizing, and quantifying risks
risk perception: intuitive risk judgments
risk attitudes: preferences that influence willingness to take risks
Revealed risk perceptions vs. constructed risk perceptions
Whether risk attitudes are consistent/stable over time. However it seems like risk perception is constructed as dependent on emotions, situation, relative, dimensions of risk, domain specificity
Dread risk
The amount of fear/emotion a risk provokes: global, catastrophic, fatal, high risk for future generations, not easily reduced, involuntary, no escape
Unknown risk
Something that is not well understood like global warning: effect delated, new risk, risks unknown to science
Factor analysis
How we can figure out which characteristics of risk relate to dread and which to unknown. This can help us analyze constructs that are difficult to measure directly - create questions that measure dread for example.
Relativity of risk perception
Numerical estimation of risk is not absolute but rather depends on comparisons. Ranking is more consistent than numbers
Finite resources for worrying
Finite pool of worry - Limited mental resources -> limited capacity for worry. If we are concerned about terrorism our overall level of concern doesn’t increase because some other worry leaves pool.
Emotion and risk
If we don’t have time, or if emotion is strong, we use System 1 (quick, intuitive, automatic) to act
Affect heuristic
We perceive risks to be negatively correlated with benefits. So for outcomes we like, we rate the ratio of benefits to risk higher. Dread and fear accentuate risk; anger makes it seem lower - but why?
Probability neglect
All-or-none mentality - if we really like or hate an outcome, it doesn’t matter if the chance is small. We neglect the probability
Optimism bias
We act like rare, good events are more likely to occur than (equally) rare, bad events
Denominator neglect
We ignore denominators and focus on numerators when calculating probabilities
Insensitivity to numbers
Saving 98% of 150 lives garners more support than saving 150 lives because 150 is good but vague - 98% seems more certain. Proportion more important than number
Contingent valuation
Difficult to assess value of things that can’t be assigned price such as lives and environmental damage; resources that have no market; things that can’t be sold for moral reasons. Contingent valuation assigns values to these things via looking at willingness to pay to reduce risk/damage and willingness to accept additional risk/damage
Embedding effect
people are willing to spend same amount to save one lake as to save 100 lakes