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Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Assessing – and Communicating – the Risks of Terrorism
Baruch FischhoffCarnegie Mellon University
April 12, 2002
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
with help from:
Liz Casman, Matt Dombroski, Sara Eggers, Dalia Patino Echeverri, Paul Fischbeck, Roxana Gonzalez, Umit Guvenc, Jennifer Lerner, ClairePalmgren, Deborah Small, Conrad Steenkamp
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Overview
• Psychology of risk (publics, experts)
• Risk analysis and communication
• Special challenges of terror
• A worked example: bioterrorism
• Special topics (crises, false alarms, second guessing, priority setting)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Psychology of Risk - Publics(as Actors and Audiences)
• Current beliefs are the basis for future understanding (numeracy, literacy)
• People have limited cognitive capacity
• People use robust, imperfect heuristics
• Some concepts are inherently difficult
• Emotions can both confound and support the understanding of risk
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Some Concepts Are Inherently Difficult
• Very low probabilities
• Cumulative risk (from repeated exposure)
• Verbal quantifiers (e.g., “likely” threat)
• Experientially unfamiliar events
• Value uncertainty (what do I really want?)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Emotions Confound and Support Understanding
• Can mobilize, guide, and paralyze• Can both affect and reflect beliefs• Include:
– fear (direct, indirect effects of terrorism)– frustration (with self, authorities)– mourning– solidarity– reflection (about self, society)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Psychology of Risk - Experts
• Face analogous challenges of understanding• Must create public trust - demonstrating
competence and honesty – Realistic assessment of own competence– A clear, consistent public role – Rapid progress on the communication learning
curve– Insight into own intuitive psychology of public
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Risk Analysis
• Identify valued outcomes
• Identify contributing processes
• Identify relevant experts
• Elicit experts’ beliefs, uncertainties, controversies, omissions
• Independent peer review
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Routine testing water
type
routine testing type
treatment levels
treatment options
index variables for tables
Routine Testing Results
Utility Awareness
Health Department Awareness
Media Coverage
Consumer Awareness for Public Systems
Tap Test
Medical Awareness
Trigger Event
Well Test
Consumer Awareness for Private Wells
Utility Communique
Utility Treatment
Options
Consumption of Well Water
Consumption of Treated Water
Averting Behavior for
Public Systems
Averting Behavior for Private Wells
Special Studies
Joint Task Force
Health EffectsContamination of Drinking Water
Info Sources
Miscellaneous Announcement
-
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Units: Averting_behaviorDefinition: if consumer_awareness =0 then 0elseif consumer_awareness =1 then 1 else if info_sources > 0 then 2else 2
Inputs: Consumer_a…Consumer Awareness for Public Systems
Info_sources Info Sources
Outputs: Consumptio…Consumption of Treated WaterDecisionTitle: Averting Behavior for Public SystemsDescription: Do consumers do something to avoid any possible risk of cryptosporidial infection?
Correct averting behavior includes boiling drinking water and switching to safe water sources. Washing dishes, tooth brushing, and rinsing vegetables are not presently considered high risk behaviors for immunocompetent people in developed countries. Showering is not risky. Only filters with an absolute (not nominal) pore size ≤ 1 micron can effectively remove oocysts. (MMWR, 1995) Use of other types of filters do not constitute correct averting behavior.
reference:MMWR 1995. Assessing the public health threat associated with waterborne cryptosporidiosis: report of a workshop. Rep. 44(RR-6):1-19.
0 = no action or inappropriate action (eg charcoal filter)1 = avoid most tap water2 = boil drinking water or use clean bottled water
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Waterborne CryptosporidiumSome Analytical Results
• Misplaced priorities
-- pointless “boil water” notices
• Missed priorities– crypto screening technology– routine water substitution for
immunocompromised– broad definition of immunocompromised
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Risk Communication
• Identify common knowledge – What goes without saying?
• Identify critical gaps – What’s worth knowing?– Quantitative information (how big is the risk?)– Qualitative information (what determines the risk?)
• Find a story line (creating coherent mental model)• Evaluate success
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Challenges of Terrorism
• Require broadly shared mental models for coordinated action
• Events threaten validity of experience (and statistics)
• Require theory to augment statistics– Unfamiliar topics (people, places, pathogens)– Unfamiliar interactions (experts without
working relations)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Challenges of Terrorism
• Mixed motives of domestic actors– working problem– preserving status– shaping society
• Mixed emotions of audience– want facts– want reassurance– want to blame– want solidarity
Department of Social & Decision SciencesDepartment of Engineering & Public PolicyAnger Prime
Department of Social & Decision SciencesDepartment of Engineering & Public Policy Fear Prime
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
0.25
0.30
0.35
0.40
0.45
0.50
0.55
Anger Fear
Emotion Condition
Male Female
0.25
0.30
0.35
0.40
0.45
0.50
0.55
Anger Fear
Emotion Condition
Male Female
Emotion & Gender Effects on Terror Risk Judgments
(mid-November 2001; n=973)
Probabilities for OtherProbabilities for Self
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
What is the Risk of Anthrax?
• A standard representation of disease risk– chance of exposure– chance of sensitivity – chance of detection – chance of treatment
• Multiplicative structure of risk– everything needs to go wrong– defense in depth
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
A common structure for bioterrorism risk
pexposure
psensitivity
pdiagnosis
ptreatment
No risk
No risk
Risk
Risk
Risk
Not exposed
ExposedNot
Sensitive
Sensitive
Not Detected
Detected Treated
Not Treated
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
What determines probability of exposure?
Riskpsensitivity
pdiagnosis
ptreatment
No risk
Risk
Risk
Pexposure
No risk
Not exposed
Exposed
Probability of attack
Terroristresources
Progress of war
Politicalevents
Disruption Our perceivedvulnerability
Vaccines
Detectioncapability
Treatmentcapability
Terrorists’ delivery method
Prob. of interception
Intelligence
Surveillance
Coordination
Prob. ofavoidance
Communication
Training
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
What determines probability of sensitivity?
No risk
No risk
pdiagnosis
ptreatment
Risk
Risk
Risk
psensitivity
StrainDose
Exposureroute
Vaccinationstatus
Health status of recipient
Not sensitive
sensitive
Exposed
Pexposure
Probability of attack
Terroristresources
Progress of war
Politicalevents
Disruption Our perceivedvulnerability
Vaccines
Detectioncapability
Treatmentcapability
Terrorists’ delivery method
Prob. of interception
Intelligence
Surveillance
Coordination
Prob. ofavoidance
Communication
Training
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
What determines probability of diagnosis?
Risk
No risk No risk
ptreatment
psensitivity
Strain
Dose
ExposureRoute
Vaccine statusHealth status of recipient
pdiagnosis
Scientificunderstanding
Communicationof sci. und.
Diagnosiscapability
Concurrent conditions
Concurrentevents
Not detected
detected
Pexposure
Probability of attack
Terroristresources
Our perceivedvulnerability
Terrorists’ delivery method
Prob. of interception
Prob. ofavoidance
Risk
Risk
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
What determines probability of treatment?
No riskNo risk
Risk
pdiagnosis
Scientificunderstanding
Communicationof sci. und.
DetectionCapability
ConcurrentConditions
ConcurrentEvents
Risk
Risk
ptreatment
Scientificunderstanding
Communicationof sci. und.
Treatmentcapability
Populationheterogeneity
treated
Not treated
Pexposure
Probability of attack
Terroristresources
Our perceivedvulnerability
Terrorists’ delivery method
Prob. of interception
Prob. ofavoidance
psensitivity
Strain
Dose
ExposureRoute
Vaccine statusHealth status of recipient
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Using the Model
• What is the risk of anthrax now? (after some event or with new information)
• What is the risk of smallpox? (changes in model, parameters)
• What matters everywhere? – probability of attack
– response capability (monitoring, coordination…)
– other valued consequences
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Topics
• Real-time communication
• False alarms
• Second-guessing leaders, officials
• Second-guessing the public
• Priority setting
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Four Priorities from a National Poll(mid-November 2001; n=973)
Provide Americans with honest, accurate information about the situation, even if the information worries people. (anger 0)
Invest in general capabilities, like stronger public health, more than specific solutions, like smallpox vaccination. (anger -)
Deport foreigners in the US who lack visas. (anger +)
Strengthen ties with countries in the Moslem world. (anger -)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Conclusions
Effective risk analysis and communication require:
• Quantitative estimates of risk, including the attendant uncertainties
• Explicit representation of processes shaping risks• Suitably diverse expertise• Integration of analysis and communication
- solve their problem- secure their trust
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Sources• Casman, E., Fischhoff, B., Palmgren, C., Small, M., & Wu, F. (2000). Integrated risk
model of a drinking waterborne Cryptosporidiosis outbreak. Risk Analysis, 20, 493-509.
• Fischhoff, B. (1992). Giving advice: Decision theory perspectives on sexual assault. American Psychologist, 47, 577-588.
• Fischhoff, B. (1995). Risk perception and communication unplugged: Twenty years of process. Risk Analysis, 15, 137-145.
• Fischhoff, B. (1998). Communicate unto others... Reliability Engineering and System Safety , 59, 63-72.
• Fischhoff, B. (1999). What do patients want? Help in making effective choices. Effective Clinical Practice, 2(3), 198-200.
• Fischhoff, B. (2000). Scientific management of science? Policy Sciences, 33, 73-87.
• Fischhoff, B., Bostrom, A., & Quadrel, M.J. (in press). Risk perception and communication. In R. Detels, J. McEwen, R. Beaglehole & H. Tanaka (Eds.), Oxford textbook of public health London: Oxford University Press
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Sources (cont.)
• Henrion, M. & Fischhoff, B. (1986). Assessing uncertainty in physical constants. American Journal of Physics, 54, 791-798.
• Lerner, J. S., & Keltner, D. (2001). Fear, anger, and risk. Journal of Personality & Social Psychology, 81(1), 146-159.
• Morgan, M.G., Fischhoff, B., Bostrom, A., & Atman, C. (2001). Risk communication: The mental models approach. New York: Cambridge University Press.
• National Research Council. (1996), Understanding risk. Washington, DC: Author.
• OECD. (2002). Guidance document on risk communication for chemical risk management. Draft, 6 March.
• Performance and Innovation Unit. (2002). Risk and uncertainty. London: Parliament.
• Slovic, P. (Ed.). (2001). The perception of risk. London: Earthscan.
• Mostly available from: [email protected]
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Appendices
Psychology of the PublicPsychology of the ExpertsRisk Communication ProcessSpecial TopicsCryptosporidium risk assessmentAdditional survey results
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Psychology of Risk - Publics(as Actors and Audiences)
• Current beliefs are the basis for future understanding
• People have limited cognitive capacity
• People use robust, imperfect heuristics
• Some concepts are inherently difficult
• Emotions can both confound and support the understanding of risk
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Current Beliefs Are the Basisfor Future Understanding
• General literacy– Language, science, civics, cultures, statistics…
• Specific literacy– Radon, electromagnetic fields, climate change, driving,
breast cancer, mammography, breast implants, HIV/AIDS, other STDs, childhood immunizations, anthrax vaccine, nuclear energy sources in space, Lyme disease, agricultural biotechnology, dietary supplements, sexual assault…
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
People Have Limited Cognitive Capacity
• Illiteracy ≠ Stupidity• Channel limits (72 chunks)• Chunking capacity increases with coherent
mental model• Learning depends on feedback (prompt,
unambiguous)• Metacognition matters (need appropriate
feelings of confidence, self-efficacy)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
People Use Robust, Imperfect Heuristics
• Plausible, practical rules of thumb• Simplify problems/provide approximate
answers - but can produce biases• Example: Availability
Familiarity indicates frequency+: uses our natural tracking ability-: insensitive to omissions (non-events,
reporting biases)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Some Concepts Are Inherently Difficult
• Very low probabilities
• Cumulative risk (from repeated exposure)
• Verbal quantifiers (e.g., “likely” threat)
• Experientially unfamiliar events
• Value uncertainty (what do I really want?)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Emotions Confound and Support Understanding
• Can mobilize, guide, and paralyze• Can both affect and reflect beliefs• Include:
– fear (direct, indirect effects of terrorism)– frustration (with self, authorities)– mourning– solidarity– reflection (about self, society)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Psychology of Risk - Experts
• Face analogous challenges of understanding• Must create public trust - demonstrating
competence and honesty – Realistic assessment of own competence– A clear, consistent public role – Rapid progress on the communication learning
curve– Insight into own intuitive psychology of public
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Realistic Assessment of Competence
• Domain of expertise
• Pedigree of knowledge– Theoretical base– Uncertainty– Controversy
• Coordination with other domains
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
A Clear, Consistent Public Role
• Informing: just the facts
• Cheer-leading: just the spin
• Persuading: some facts plus spin
• Shared decision making
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Rapid Progress on the Communication Learning Curve
• All we have to do is:– Get it right
– Report what we’re doing
– Explain what we’re doing
– Show comparable (and seemingly acceptable) risks
– Consider the acceptability of risks (in light of benefits)
– Treat the public nice
– Make the public partners
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Insight into Own Intuitive Psychology of the Public
• Limited (and often biased) opportunities to observe the public
• Interpretative biases (e.g., fundamental attribution error)
• Possible ego involvement– professional arrogance– defending expert status– defensiveness
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Risk Communication Process
• Identify common knowledge – What goes without saying?– open-ended interviews, allowing expression of beliefs,
values, and formulations– surveys, for frequency estimation
• Identify critical gaps – What’s worth knowing?– quantitative information (how big is the risk?)– qualitative information (what produces and controls the
risk?)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Risk Communication (cont.)
• Find a story line (coherent representation)– anticipate constructive process of learning and
memory– facilitate integration of facts (and uncertainties)
• Evaluate success– elicit feedback– await feedback
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Topics (I)Real-time Communication
• Risk analysis protocol– integrated assessment– coordinating task force
• Risk communication protocol– pre-tested message structure– topical modules (e.g., exposure, detection)– common format (e.g., risk levels, uncertainties)
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Topics (II)False Alarms
• Avoid disruption
• Avoid perception of cover-up
• Maintain consistent alarm standards
• Explain process
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Topics (III)Second-Guessing Leaders
• Judge the quality of their choice, not its outcome
• Avoid hindsight bias– what did they know?– what could they reasonably have known?– how clear was the signal?
• Consider their entire decision– could they have acted on their knowledge? – was leadership possible?
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Topics (IV)Second-Guessing the Public
• What problem are they solving (options, values, beliefs)?
• How good is our evidence?– sample size, representativeness– interpretability of actions
• Distinguish ignorance and stupidity.– how defensible are their misunderstandings?– how good was our communication?
• Were the conditions for trust maintained?
Department of Social & Decision SciencesDepartment of Engineering & Public Policy
Special Topics (V)Priority Setting
• Present full range of outcomes• Offer numbers, not verbal quantifiers• Avoid potential certainty effects --preferring
“sure” solutions to narrow problems to probable solutions to broad problems
• Link public opinion and public policy