Lecture 11 Flashcards

1
Q

Risk assessment, perception, attitudes

A

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

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2
Q

Revealed risk perceptions vs. constructed risk perceptions

A

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

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3
Q

Dread risk

A

The amount of fear/emotion a risk provokes: global, catastrophic, fatal, high risk for future generations, not easily reduced, involuntary, no escape

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4
Q

Unknown risk

A

Something that is not well understood like global warning: effect delated, new risk, risks unknown to science

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5
Q

Factor analysis

A

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.

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6
Q

Relativity of risk perception

A

Numerical estimation of risk is not absolute but rather depends on comparisons. Ranking is more consistent than numbers

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7
Q

Finite resources for worrying

A

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.

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8
Q

Emotion and risk

A

If we don’t have time, or if emotion is strong, we use System 1 (quick, intuitive, automatic) to act

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9
Q

Affect heuristic

A

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?

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10
Q

Probability neglect

A

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

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11
Q

Optimism bias

A

We act like rare, good events are more likely to occur than (equally) rare, bad events

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12
Q

Denominator neglect

A

We ignore denominators and focus on numerators when calculating probabilities

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13
Q

Insensitivity to numbers

A

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

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14
Q

Contingent valuation

A

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

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15
Q

Embedding effect

A

people are willing to spend same amount to save one lake as to save 100 lakes

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16
Q

Outrage effect

A

“prices” provided are greater for human-caused damage than for equal amount of natural damage (punishing the wrongdoer)