2.1. Smoking and Risk

Here is a very important data, then what is risk? Why people are not believing risk? ... it is a forum of debate.

This chunk opens by questioning the concept of risk and why it is sometimes dismissed by people. It references a publication by the Britain Royal Society concerning risk assessment, highlighting the society's disclaimer that their report does not represent the collective views of the authors. The emphasis here is on the complexity and subjectivity of defining risk, as it is often a point of debate among experts, which raises questions about the reliability of these assessments.

Imagine a group of scientists trying to measure the risk of a new medicine. Each scientist might have different opinions based on their experiences and research. This diversity of views means that there isn't always a clear answer about what constitutes 'risky', making it similar to a debate where no one idea is universally accepted.

Experts and scientists are called and but disagreement continued about risk. ... the common people, they perceive about the anticipate about the future event that is perceived risk.

This section introduces two types of risk: objective risk and perceived risk. Objective risk refers to scientifically measured risk, grounded in data and scientific laws, while perceived risk encompasses the beliefs and feelings of laypeople about potential future events. This distinction is important because what science defines as risk may differ significantly from public perception.

Think about driving a car without a seatbelt. Statistically, the risk of serious injury increases significantly without a seatbelt (objective risk), yet some people may feel perfectly safe while driving this way (perceived risk). This divergence illustrates how individuals can perceive risk differently based on their experiences or beliefs.

Now, risk in general, we know the probability of a particular adverse event to occur during a particular period of time. ... expressed in numerical figure; 5 billion, 20 billion, 200 billion, or, 50 people died, 100 people died like that.

In this chunk, the definition of risk is clarified as the probability of an adverse event occurring within a defined timeframe. The discussion emphasizes that risk determination often relies on numerical expressions, such as the financial cost associated with disasters or the number of casualties in tragic events. Understanding this helps in quantifying risk and making informed decisions.

Consider the risk of flooding in a region that has previously experienced heavy rains. If experts estimate that there's a 20% chance of flooding based on past data, they might express the potential costs in monetary terms (e.g., $5 million in damages). This provides a clear picture of risk, making it easier to understand and manage.

So, probability and magnitude often adverse event. ... more fine-tuned, more cutting-edge estimations we can make.

This section emphasizes the critical role of data in refining risk estimations. Without adequate data, making accurate assessments becomes difficult. More comprehensive data allows scientists to provide better-informed estimations, leading to improved disaster risk management strategies. However, it's important to reconcile scientific data with public perceptions to effectively communicate risk.

Imagine a weather forecasting team predicting a hurricane. If they have access to extensive historical weather data, satellite images, and predictive algorithms, they can estimate the likelihood and potential impact of the hurricane more accurately. Conversely, if they have limited data, their predictions would be less reliable, potentially leading to unpreparedness.

For example here, if you are smoking you are at risk, you believe or not ... which one?

The importance of bridging the gap between scientific understanding of risk and public perception is highlighted here. The example discusses smoking, which is scientifically linked to health risks. Despite this, many smokers may not accept or understand the level of risk associated with their habit. Risk managers must communicate effectively to align public perception with scientific facts.

Consider a young person who smokes cigarettes. They might see smoking as a symbol of coming of age and rebel against authority. However, the scientific community understands that smoking significantly increases the risk of lung cancer and other health issues. To bridge this gap, public health campaigns could use relatable messaging and testimonials to effectively communicate the dangers of smoking.

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