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Today, we will explore the notion of risk from two perspectives: objective risk, which is based on scientific measurements, and perceived risk, how individuals believe risk affects them. Who can define objective risk?
Objective risk is like the actual likelihood of something harmful happening, based on facts and data.
Excellent! Now, how about perceived risk? What does that mean?
Perceived risk is more about how people feel about risks; it's subjective and can sometimes be misleading.
Exactly! Remember, 'O' for Objective is 'O' for data-driven, and 'P' for Perceived is 'P' for public opinion. How do you think we can bridge the gap between these two?
Maybe by educating people more on scientific facts and not just their beliefs?
That's a strong point! We need to focus on effective communication.
Let's talk about how we measure risk. Why does data matter in risk assessment?
Without data, we wouldn't have accurate information on potential damages or fatalities.
Correct! Data helps us quantify risk numerically. Can anyone give an example of how risk is expressed numerically?
Like saying a flood might cause a $5 billion loss or that an earthquake could lead to x number of deaths.
Great example! Thus, risk management relies heavily on solid data—how can we communicate this importance better?
By showing real-life consequences of ignoring data in past disasters?
Absolutely! Storytelling can be a powerful way to convey these messages.
Let's now explore public perception's impact on risk management. Why is it essential to consider how people perceive risk?
If people believe a risk is low, they might not take necessary precautions, which could lead to greater issues.
Exactly! Which is why we need to reduce that gap. What's a good strategy to inform the public?
Using clear messaging that explains why smoking or not wearing a seatbelt is risky.
Nice! Remember, effective communication can alter perceived risk. What happens if we fail to do this?
People might keep making risky choices and face avoidable harm.
Exactly! So, awareness is key. Educators and health officials must work together.
Now let’s address why people might ignore scientific data when making personal decisions about risk. What influences their choices?
Maybe emotional factors or social influences, like wanting to fit in when smoking?
Exactly right! The social context often sways personal decision-making about risk. Can emotions override logic?
Definitely! People often feel invincible or underestimate risks.
Correct! Let’s remember 'E' for Emotion can block 'D' for Data. Finding the balance is crucial for informed decisions.
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
This section explains the concepts of objective risk (scientifically measured) versus perceived risk (public perception), highlights the importance of data in risk assessment, and emphasizes the need for effective communication between scientists and the public to bridge the gap in understanding.
This section delves into the complexities surrounding the concepts of risk as perceived by the public versus how it's characterized in scientific terms. In 1982, the Royal Society in Britain published a White Paper on risk assessment, which was revised the following year. Notably, the paper expressed that the views presented are solely those of the authors, indicating a lack of consensus within the scientific community regarding risk.
Two main types of risk are outlined: Objective Risk, which is based on experimental and scientific evidence, and Perceived Risk, which details how individuals interpret and foresee potential dangers based on personal beliefs and experiences.
Risk is fundamentally about the probability of a negative event occurring within a specified time frame and its anticipated consequences. The magnitude of risk is typically quantified in numerical terms, whether it be estimated financial losses from natural disasters or potential lives lost due to hazardous behaviors such as smoking or driving without seatbelts. To enhance risk assessment methods, extensive data collection is critical, yet a disconnect exists since the subjective nature of perceived risk often influences disaster management strategies.
To effectively reduce misunderstandings about risk, communicators are encouraged to clarify scientific truths and raise public awareness concerning reality versus misconception. While individuals might perceive certain high-risk behaviors (e.g., smoking or not wearing a seatbelt) as insignificant, scientifically, these behaviors carry significant risk implications. The section emphasizes the need to bridge these gaps for more informed public decision-making.
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Here is a very important data, then what is risk? Why people are not believing risk? there is a Britain Royal Society; they publish a White book on risk assessment in 1982 and in 1983, it was revised again.
This chunk introduces the concept of risk and questions why people often do not believe in scientific assessments of risk. It mentions the British Royal Society's publication of a significant document on risk assessment, which illustrates an organized effort to understand and communicate risks scientifically.
Think of this as a health campaign about smoking. Even with clear scientific data showing that smoking causes cancer, some people still choose to smoke. This reflects a disconnect between expert knowledge and personal belief.
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They actually asking many famous acknowledged internationally acclaimed professors, scientists to estimate and tell them what is risky, to talk about a risky but very funny thing is that when these society is publishing this white paper, they are saying then you know disclaimer they are not saying that this report is not a report of the society, the views expressed are those of the authors alone.
The British Royal Society sought assessments from renowned experts to outline risks. However, they included a disclaimer in their publication indicating that the views presented were solely those of the authors and not a collective view of the Society itself. This reveals a cautious approach to risk communication.
Imagine a group of doctors writing a health advisory on the effects of diet, but adding a note that the advice is only personal opinions. It could make readers question the validity of the information.
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Experts and scientists are called and but disagreement continued about risk. So, actual risk we as scientists saying that we there is actually an actual risk, what is that? So, we are saying that there are 2 kind of risk; one is objective risk that is scientific risk; another one is the perceived risk.
This part distinguishes between two kinds of risk: 'objective risk' which is based on scientific evidence, and 'perceived risk' which reflects how individuals interpret risks based on personal experience or societal influence. This gap in understanding contributes to confusion about what constitutes true risk.
Consider a roller coaster. The objective risk based on safety records shows it's statistically safe, but some people perceive it as dangerous due to their fear of heights. This difference in perception can lead to disagreement about the ride's safety.
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Risk in general, we know the probability of a particular adverse event to occur during a particular period of time. So there is a probability question in a particular time question, and it would challenge the existing situation, and so it is a consequence and is the event probability.
This chunk teaches that risk is fundamentally about the likelihood of negative events occurring in a specific timeframe. Understanding this can help contextualize risks and their potential consequences, emphasizing the need for systematic analysis of risks.
Think of it like weather forecasting. If a weather report says there is a 70% chance of rain tomorrow, it means that statistically, it is likely to rain, but there is still a chance it won't, illustrating how we think about risk in terms of probabilities.
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So, determinant of risk; how we determine a risk? Generally, we determine any kind of risk by numerical measures, like expressed in chance of that much cost in dollar or in rupees, loss is expected to due to a flood, a loss of productivity has been lost, that much of amount due to earthquake so, these always we express in numerical figure; 5 billion, 20 billion, 200 billion, or, 50 people died, 100 people died like that.
In this section, we learn that risks are often quantified in financial terms or loss of life, which can provide clarity in decision-making and prioritization. These numerical figures help to present the severity of risks in a way that is tangible and understandable.
It's similar to car insurance; when accidents happen, losses are measured in dollars. Understanding how much money is involved helps people grasp the concept of risk and make informed choices.
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So, probability and magnitude often adverse event. Now, risk estimation progress; if we want to progress more if you want to refine our estimation, one thing is very clear that we need data, without data we cannot do it so, more data where you have, the more fine-tuned, more cutting-edge estimations we can make.
This chunk emphasizes that accurate risk estimation relies heavily on data. Without substantial data collection, our understanding of risks cannot advance. The more data we have, the more precise our risk analysis can become.
Consider scientists tracking the spread of a disease. The more cases they analyze, the better they can understand the outbreak and develop effective containment strategies. Data is critical for making informed decisions in public health.
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So, but they are making it very simple, the scientists are saying that you need data but remember that risk perception that is subjective risk, what laypeople think. Please do not incorporate that element in disaster risk management, is it really so?
Here, we explore the challenge of incorporating public perception into risk management. Scientists caution against letting subjective views influence disaster response strategies as these can skew the understanding of actual risks.
Imagine if emergency services were to only operate based on people's fears instead of hard data. For instance, if a community fears a flood but no data supports that, directing resources based solely on those fears could lead to mismanaged responses.
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Let us look, reducing the gap; they are saying that it is very important for the risk manager that what scientifically true, and what people think we should reduce that gap, we should tell people that what is scientifically true and why it is true, what they think is not right.
This part of the text discusses the essential task of risk managers in bridging the gap between expert scientific knowledge and public perception. Communicating scientific truth effectively involves explaining the evidence behind risks and addressing misconceptions.
Think of a teacher explaining math to students who struggle with certain concepts. The teacher uses relatable examples and thorough explanations to help students understand and change their misconceptions.
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For example here, if you are smoking you are at risk, you believe or not you may be doing it because you want to be macho, or your body needs nicotine, but once you were smoking you are at risk that is very clear. Or maybe if you want to be a flamboyant hero like this guy you are at risk, if you are doing it at high or any place, you are at risk, you believe it or not, is simply up to your perceptions, but scientifically we can tell that this is your problem.
This portion illustrates how personal choices, like smoking, often conflict with scientific understanding of risk. Even if an individual does not perceive smoking as risky, scientific evidence clearly shows its dangers, highlighting the gap between perception and objective reality.
Consider skydiving. Some might view it as an exciting challenge without considering the risks involved, while experts see it as inherently dangerous, demonstrating how differing perspectives can lead to contrasting views on risk.
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Now the question, is it a fun or danger? Scaring? Whose is it fun for the young people, also for the old people, is it danger for the young people or for the old people. So, young kids and old seniors, so the probability; the person’s perceptions of the probability; fun or danger, which one?
This concluding part reflects on how different age groups perceive risk differently. It poses questions about whether activities are viewed as fun or dangerous based on individual perspectives, emphasizing the subjective nature of risk perception in various demographics.
Think about riding a bicycle. For a child, it's thrilling and fun, but for an elderly person, it might evoke fears of falling. The same activity can present different perceived risks based on age and context.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Objective Risk: Refers to risks that are scientifically measured and quantified.
Perceived Risk: The subjectively interpreted risks based on individual opinions and experiences.
Risk Assessment: A method for determining the potential impacts of risks in various situations.
Risk Communication: The exchange of information about risks to ensure public understanding.
See how the concepts apply in real-world scenarios to understand their practical implications.
The financial loss anticipated from a major flood is quantified at $5 billion, showcasing the objective risk.
Many teenagers perceive driving without a seatbelt as fun, undermining the objective risk associated with serious injuries.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
Objective is data, perceived can differ, one’s facts and one’s a sliver.
Imagine a town where the people think floods are unlikely. The town planner must convince them of the actual flood risks using data.
DOPP: Data for Objective, People's opinions for Perceived.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Objective Risk
Definition:
A scientifically measured risk based on data and evidence.
Term: Perceived Risk
Definition:
The risk that individuals believe exists based on their perceptions and experiences.
Term: Risk Assessment
Definition:
The process of evaluating potential risks that may be involved in a projected activity or undertaking.
Term: Quantitative Risk
Definition:
Risk that is expressed in numerical terms, such as financial loss or fatalities.
Term: Risk Management
Definition:
The identification, assessment, and prioritization of risks, followed by coordinated efforts to minimize, monitor, and control the probability of unfortunate events.