1.5. Risk Estimation Process

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. They actually asking many famous acknowledged internationally acclaimed professors, scientists to estimate and tell them what is risky...

This chunk introduces the concept of risk and discusses why there may be skepticism about it. The text mentions a publication by the Britain Royal Society that gathered expert opinions on risk assessment, emphasizing that even highly regarded professionals have conflicting views and that the report itself does not represent a unified stance on risk. This creates a foundation for understanding the complexity and varied interpretations of risk.

Think of a group of expert chefs trying to decide on the spiciness level for a new dish. Each chef has different preferences and beliefs about what constitutes 'too spicy,' which leads to differing opinions on how it should be made. Similarly, experts in risk assessment may see things differently based on their own experiences and knowledge.

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.

Here, the text distinguishes between two types of risk: objective risk and perceived risk. Objective risk is based on scientific calculations and data, while perceived risk is based on individual interpretations and beliefs about threats. Understanding these distinctions is crucial for accurately assessing risk and communicating it effectively to the public.

Consider a rollercoaster. An engineer calculates the risks of mechanical failure (objective risk) based on data and safety tests. However, a person might believe the ride is too dangerous simply because they are afraid of heights (perceived risk). This shows that perceptions can differ greatly from scientific assessments.

Now, risk in general, we know the probability of a particular adverse event to occur during a particular period of time...

This chunk elaborates on the definition of risk, highlighting that it involves the probability of an undesirable event occurring within a certain timeframe. This definition frames how we understand risks in various contexts, impact assessment, and decision-making.

Think about the risk of rain on a picnic day. The probability of rain (e.g., 30% chance) informs your decision—if the chance is high, you might decide to postpone the picnic. This decision reflects understanding and reacting to the risk.

So, determinant of risk; how we determine a risk? Generally, we determine any kind of risk by numerical measures...

In this segment, the focus is on numerical measures used to quantify risk. These numerical values might represent potential economic costs resulting from disasters, fatalities in accidents, or other measurable impacts. This quantification helps in making informed decisions about risk management.

Imagine a city evaluating the risk of flooding, finding that the financial loss from a major flood could amount to $100 million. This numerical figure helps justify spending on flood prevention infrastructure. Without quantification, it might be difficult to prioritize such spending.

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...

This part emphasizes that accurate risk estimation relies heavily on data. The more data available, the more precise and useful the risk estimations become. It also warns against including subjective perceptions in formal risk management, which could lead to ineffective strategies.

Consider a student preparing for an exam. To estimate how likely they are to pass, they need data like previous grades, study hours, and test scores. Without sufficient data, their estimation could be misleading, affecting their study strategy.

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...

This section addresses the gap between scientific risk assessments and public perception. It highlights the necessity for risk managers to communicate scientific findings clearly, to help align public understanding with expert risk evaluations.

Think of health warnings on cigarette boxes. Scientists determine that smoking is dangerous based on extensive research, but some individuals may downplay this risk. Clear communication from health officials is crucial to bridge that perception gap.

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...

Finally, this chunk illustrates the subjective nature of perceived risk using smoking as an example. It points out that individual motivations and cultural perceptions can influence one’s assessment of risk. Here, the concept of enjoyment versus danger is explored.

Think about thrill-seekers who love bungee jumping. They might perceive it as fun, despite it carrying significant risk. Their perception shapes their behavior and choices, illustrating how fun can sometimes overshadow danger.

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