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A short class with Sarah and her students. The other ways are under More.
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Today, we’re discussing risk. Can anyone tell me what risk is?
Isn't risk just the chance of something bad happening?
Exactly, but risk can be more complex! We have 'objective risk', which is grounded in data, and 'perceived risk', influenced by individual beliefs.
So, is objective risk the one we can measure scientifically?
Yes! Objective risk involves quantitative analyses while perceived risk is often subjective.
Why do you think data is important in estimating risks?
I guess more data helps make better predictions?
Exactly! The more data we gather, the more refined our estimations become.
And if we don’t have data, does that mean our risk assessment could be wrong?
Yes, without data, our assumptions may lack accuracy. So, data is crucial!
Why is it important to bridge scientific truths and public perception of risks?
Because what people believe can affect how they respond to risks!
Right! Let’s take smoking as an example. Scientifically, it’s risky, but perceived risks may vary.
So, helping people understand the science behind risks can help them make better decisions?
Absolutely! Communication is key to effective risk management.
In risk there's two sides, one that's quite clear, the other we fear, data helps steer.
Once there were two friends, one trusted data, the other relied on what he heard. When a flood warning came, the data-driven friend prepared, while the believer in perceptions ignored the signs. Guess who stayed safe?
RAP: Risk Assessment Process - R for Risk types (Objective and Perceived), A for Analyzing data, P for Public perceptions.
DPR: Data, Perception, Risk - The three elements that guide effective risk management.
Term
Objective Risk
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Term
Perceived Risk
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This section explores the concept of risk, distinguishing between objective and perceived risks, and the importance of data in risk estimation.
The section highlights the evolution of risk assessment discussions initiated by the British Royal Society, examines the difference between objective and perceived risks, and stresses the role of data in refining risk estimation processes. It also advocates reducing the gap between scientific understanding and public perception of risks.
The chapter emphasizes the complex nature of risk assessment, detailing its evolution since the British Royal Society's white papers on risk assessment in 1982 and 1983, which invited contributions from esteemed professionals without conveying a definitive credibility regarding the expressed concerns. Two main types of risk are discussed: objective risk, grounded in scientific data and methodologies, and perceived risk, which reflects individual opinions and societal beliefs. The probability of adverse events, expressed in quantitative terms, plays a crucial role in risk estimation processes. The necessity for comprehensive data is highlighted, as it significantly enhances the precision of these estimations. However, the chapter advises against allowing subjective perceptions of risk to skew disaster risk management, advocating for clearer scientific communication to bridge the knowledge gap.