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A short class with Sarah and her students. The other ways are under More.
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Today, we are going to discuss the concept of risk. Risk refers to the probability of a negative event occurring over a specific period. How do you think risk is evaluated, Student_1?
I think risk is just about how likely something bad can happen.
That's right! But it's more nuanced. We actually have two types of risk: objective risk, which is based on scientific data, and perceived risk, how people feel about it. Student_2, can you think of an example of perceived risk?
Maybe how people feel about flying in airplanes versus driving cars?
Exactly! Many people perceive flying as riskier than driving, even if statistics show it's safer. This is a great segue into our next discussion on the British Royal Society's white paper on risk.
Now let’s talk about how we evaluate risks. We often rely on data to quantify risks, which can involve thinking about potential costs and losses. Can someone give me a numerical example related to a risk?
If a flood causes $50 million in damage, that’s a way to quantify the risk associated with flooding.
Great example, Student_3! This helps in making informed decisions about disaster management. Now, how do you think this data influences public perception of risk? Student_4?
I think people might not trust the numbers if they don’t have personal experiences or belief in the data sources.
Exactly, the gap between data-driven conclusions and public perception is a key challenge in risk management.
Let’s apply what we've discussed. For example, smoking is known to increase risk for lung cancer. Student_1, can you explain how perceived risk plays a role in someone’s decision to smoke?
People might think they are invincible or not at risk.
Right! They might believe they can handle it, even though the objective risk is high. Similarly, Student_2, what about using seat belts?
Some may think that not wearing them is fine if they are good drivers.
Correct! Perceptions of safety can thwart the science which shows the benefits of seatbelt use. Bridging this gap is crucial.
Objective risk is scientifically measured, while perceived risk is based on personal beliefs.
Accurate data is essential for precise risk estimation.
The importance of bridging the gap between expert assessments and public perceptions in disaster risk management.
Flying is statistically safer than driving, yet many perceive it as riskier due to fear.
Individuals may choose to smoke despite knowledge of its associated risks, reflecting a gap between perceived and actual risk.
People might not wear seat belts because they believe that good driving compensates for the lack of safety.
When you take a risk, don’t let fear whisk; look at the data, it’ll make you a wiz.
Imagine a castle where the brave knights fight dragons, but the villagers fear the knights more than the dragons. In reality, the dragons pose less danger; similarly, perceived risk can mislead us about true dangers.
RISK: Reliable Information Shows Knowledge - a way to remember that good data helps assess risks correctly.
RAPID: Risk Assessment Promotes Informed Decisions - indicating the purpose of risk assessment.
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What are the two types of risk?
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What is objective risk based on?
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What does perceived risk rely on?
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Why is data important in risk assessment?
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A risk measured through scientific data and regulations, representing the factual likelihood of an adverse event occurring.
The risk that individuals believe exists based on their personal opinions and experiences, which may not align with scientific data.
The likelihood of a specific adverse event occurring within a set timeframe.
Quantitative information used to assess risks and formulate decisions regarding risk management.
This section explores the concepts of objective and perceived risk, highlighting the disparities between scientific assessments and public perceptions.
This section examines the nature of risk, differentiating between objective risk (scientifically measured) and perceived risk (public perceptions). The relevance of expert opinions and the importance of data in risk management are discussed, along with examples illustrating how people's perceptions of risk may not align with scientific findings.
In this section, we delve into the definition and understanding of risk, which generally refers to the probability of a specific adverse event occurring within a predetermined time frame. The British Royal Society's published white paper on risk assessment in the early 1980s underscores the complexity of risk understanding, as it emphasized a forum for debate rather than a conclusive consensus among experts or scientists.
Two types of risk are identified: objective risk, which is based on scientific estimations and rules, and perceived risk, which reflects how laypeople anticipate future events driven by personal beliefs rather than facts. Furthermore, determining risk typically involves numerical measures that quantify potential economic losses or impacts, like the expected costs of natural disasters.
Data plays a crucial role in refining risk estimates, yet the disparity between scientifically established objective risks and the subjective perceptions held by the public presents a significant challenge in disaster risk management. This section stresses the necessity to bridge this gap by educating individuals on scientifically accurate risk, using relatable examples, such as smoking or seatbelt usage, to highlight the contrast between perceived risks and actual dangers.