Most Strongly SupportedDiff: Easy
Logic Breakdown
Passage Summary: News reports focus heavily on rare dangers while ignoring common ones unless they're weird; because people judge danger by what's on the news, their sense of risk is likely distorted.
Reasoning: Media outlets only report common threats when they are unusual, but they report rare threats universally. People judge risk based on how often they see threats in the media.
Analysis: This stimulus sets up a relationship between media behavior and human psychology. If the media over-represents rare events and under-represents common ones, and people base their risk assessments on media frequency, a logical inference is that people's risk assessments will be inaccurate. Specifically, look for an answer that suggests people will perceive rare threats as more common than they actually are, or common threats as less frequent than they are. It’s a classic look at how 'availability bias' is fueled by news cycles.
Reasoning: Media outlets only report common threats when they are unusual, but they report rare threats universally. People judge risk based on how often they see threats in the media.
Analysis: This stimulus sets up a relationship between media behavior and human psychology. If the media over-represents rare events and under-represents common ones, and people base their risk assessments on media frequency, a logical inference is that people's risk assessments will be inaccurate. Specifically, look for an answer that suggests people will perceive rare threats as more common than they actually are, or common threats as less frequent than they are. It’s a classic look at how 'availability bias' is fueled by news cycles.
Passage Stimulus
Passage Redacted
Unlock Full Passage16.If the statements above are true, which one of the following is most strongly supported on the basis of them?
Correct Answer
C
C follows directly: those relying on news will be exposed to frequent stories about rare threats and less frequent ones about common threats, so they will tend to overestimate uncommon risks relative to common risks.
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