Search the courses, subjects, tracks, games and features, or jump straight to a page.
Learn it your way
A short class with Sarah and her students. The other ways are under More.
Sign up free to listen. Transcripts are free to read.
Today we'll discuss how the information about casualty figures influences our perception of risk. Can anyone tell me why we tend to believe reports of high casualties more than those with lower figures?
I think it's because high casualty numbers create a more vivid picture of danger.
Exactly! When we hear about a disaster that has claimed many lives, it's more impactful, which leads to increased belief in the associated risk. Let's remember this with the acronym 'HIPS'—High Impact, Perceived Severity.
So, if casualties are low, people might not think it's that serious?
Right! Someone could perceive a drought as less risky because it happens frequently and has lower immediate consequences. But what about events like earthquakes?
Those are rare but can have catastrophic results, so they seem riskier.
Good job! This highlights how probability and consequences play into our perceptions of risk. Let’s move on.
Next, let's talk about the various factors that affect how individuals perceive and accept risks. Can you think of some things that might influence our personal assessment of risk?
Maybe how familiar we are with a certain disaster?
Great point! Familiarity can lead to desensitization, meaning repeated experiences might lower perceived risk. How about personal control?
If I feel I have control over the situation, I might think it's less risky.
Exactly! When people feel they can control a risk, they tend to view it as less severe. Remember the phrase 'Control Equals Confidence'.
And what about if we blame someone for the risk?
Blame can amplify perceived risk and lead to increased fear. If we think a disaster is the responsibility of someone else's actions, we tend to see it as a greater threat.
That makes sense! It feels unfair if we think someone else is profiting from our risk.
Perfect summary! Let's reflect on how these factors work together.
Now, let's discuss how the media plays a role in shaping our perceptions of risk. Why do you think some disasters receive more media attention than others?
Maybe the severity of the disaster?
That's part of it! Media often focuses on disasters with high casualties or technology-related risks, which leads to greater public engagement. Can you recall an example?
I remember Chernobyl was heavily covered, while the Tangshan earthquake got less attention, despite many more casualties.
Spot on! This is a clear example of media bias affecting public understanding. It's crucial to remember the phrase 'Report and Reinforce' here – as media reports can reinforce fears or beliefs.
So, it’s about perception rather than actual risk sometimes?
Exactly! It's essential to see that media portrayal can sometimes distort our understanding of risk versus reality.
Higher casualty numbers increase perceived risk.
High probability, low consequence events are perceived as less risky than low probability, high consequence events.
Familiarity, personal control, and blame impact how risks are perceived and accepted.
The portrayal of risks in media affects public understanding and perception.
Perceived unfairness and the potential for blame amplify perceptions of risk.
Casualties high, we feel the dread, / Automatic fears pop in our head.
Imagine a village that faced severe drought every year; they learned to cope and did not fear it much. But when an earthquake struck far away with devastating consequences, they panicked despite it being rare.
Remember 'FCPB' to recall Familiarity, Control, Probability, and Blame.
Use 'HIPS' to remember High Impact, Perceived Severity for understanding how casualties influence belief.
Term
What is 'casualty'?
Click to flip
Term
What does 'risk acceptance' refer to?
Click to flip
Term
Define 'probability'.
Click to flip
An instance of someone being killed or injured in a disaster.
The willingness to accept potential negative outcomes in light of perceived benefits.
The likelihood of an event occurring, often expressed as a percentage.
The outcome or effect resulting from an event or action, which can vary in severity.
The state of being familiar or aware of something, affecting how risks are assessed.
The perception of having influence or authority over risk situations.
The tendency of media to report more on certain types of news, influencing public perception.
This section explores how perceptions of risk and casualty influence people's belief in danger and their acceptance of risks associated with disasters.
The section discusses how the perception of risk is affected by the casualty information conveyed, the importance of the messenger, and the context of the risk. It highlights various factors that influence risk acceptance, including probability, consequence, familiarity, personal control, and blame towards those causing the risk.
This section delves into the interplay between casualty belief and risk acceptance, emphasizing how individuals evaluate risks based on various perceptions and experiences.
Understanding these dynamics is crucial for effective communication about risks and disasters, emphasizing the need for responsible messaging and public understanding of risk.