1.1. Background and Historical Context

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 section introduces the Royal Society's involvement in risk assessment by publishing a White book in the early 1980s. The book aimed to gather insights from highly recognized professionals to define what constitutes risk. The mention of a revised edition indicates the evolving nature of understanding risk over time.

Imagine a group of renowned chefs coming together to write a cookbook on healthy eating. Just like these chefs, the Royal Society gathered experts to define what risk means, but they faced challenges in making everyone agree on their definition.

So, I am not taking the responsibility here; society is telling, no collective view about risk, so it is not about to tell you that this is what is risk, a forum of debate. What happened, why after calling so many international researchers, professors, they are saying that this is what we are not going to take the responsibility. So, this is a disclaimer, why it is so?

The Royal Society clarified that the White book does not represent a unified stance on risk. Instead, it serves as an invitation for discussion. This disclaimer underscores the complexity of risk as a concept where even expert opinions may vary widely.

Think of it like a town hall meeting where various community members discuss how to improve safety in their neighborhood. While everyone shares their opinions, the meeting organizers emphasize that these are personal views, and not an official policy. This encourages open discussion but also shows that no single viewpoint is declared the truth.

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.

Discussions around risk often lead to differing opinions. Scientists categorize risk into two types: objective risk, which is based on scientific data, and perceived risk, which is based on personal opinions and feelings. This distinction is critical as it highlights the gap between measurable risk and what individuals believe.

Consider a roller coaster. The objective risk (like the chances of accidents) can be calculated using data and statistics, while perceived risk depends on individual feelings—some people may think it's thrilling, while others may find it terrifying. Both perspectives are valid but stem from different sources.

Now, 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.

Risk is fundamentally defined by the likelihood that an adverse event occurs within a specific timeframe. It encompasses two essential elements: time and probability, which together help assess potential consequences and challenges posed by risks.

Think of planning an outdoor event. You consider the likelihood of rain (probability) during the event's timeframe, and if it rains, it could impact the overall success of your event (consequence). Evaluating these factors is crucial to making informed decisions.

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.

Risk is typically quantified using numerical measures, expressing potential costs or losses in financial terms or human impact (like lives lost). These statistics are vital for understanding the severity and significance of different risks.

Imagine you are insuring your home against flooding. The insurance company assesses risk based on how much it might cost to repair damages, such as potential losses worth millions of dollars, or even the number of homes that could be affected. Numbers help everyone understand and prepare for worst-case scenarios.

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.

Data is crucial for refining risk estimates. More comprehensive datasets enable researchers to create more accurate and precise assessments, leading to better understanding and handling of risks.

Consider weather forecasting. Meteorologists rely on vast amounts of data from satellites and ground stations to predict weather accurately. The more data they have, the better they can warn communities about severe weather, ensuring that precautionary measures are taken.

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.

It is essential for risk managers to bridge the gap between scientific knowledge and public perception. Clear communication about the scientific truths of risks helps manage public fear and misinformation.

Think of vaccines. Scientific studies show their safety and benefits, but public perception may be influenced by myths. Health professionals work to educate people on facts to ensure community safety, bridging the gap between what is true and what people believe.

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.

This chunk highlights how personal perceptions can influence behavior. Despite knowing that smoking poses health risks, individuals may continue due to social pressure or dependency on nicotine, illustrating the discrepancy between perceived and actual risk.

Imagine a teenager who smokes to fit in with friends, disregarding the health warnings. Even if they know smoking is harmful, their desire to be accepted makes them overlook the real risks involved.

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.

This chunk raises the question of how different age groups perceive risk and danger. What may be fun for younger people might be seen as dangerous by older individuals, showing that risk perception varies significantly across demographics.

Consider extreme sports like skateboarding. Young adults see skateboarding as a thrilling challenge, while older generations might view it as reckless and dangerous. This difference in perception can shape attitudes towards activities and their associated risks.

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