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Risk is the potential of losing something of value, weighed against the potential to gain something of value. Values (such as physical health, social status, emotional well being or financial wealth) can be gained or lost when taking risk resulting from a given action, activity and/or inaction, foreseen or unforeseen. Risk can also be defined as the intentional interaction with uncertainty. Risk perception is the subjective judgment people make about the severity of a risk, and may vary person to person. Any human endeavor carries some risk, but some are much riskier than others.
Risk can be defined in a variety of ways. However we define risk (uncountable) as a characteristic of reality or risks as threatening agents, the essential feature here is uncertainty. Without uncertainty there is no risk, only clear danger. Let us then see some of the most common definitions.
The ISO 31000 (2009) / ISO Guide 73:2002 definition of risk is the 'effect of uncertainty on objectives'. In this definition, uncertainties include events (which may or may not happen) and uncertainties caused by ambiguity or a lack of information. It also includes both negative and positive impacts on objectives. Many definitions of risk exist in common usage, however this definition was developed by an international committee representing over 30 countries and is based on the input of several thousand subject matter experts.
Very different approaches to risk management are taken in different fields, e.g. "Risk is the unwanted subset of a set of uncertain outcomes" (Cornelius Keating).
The Oxford English Dictionary cites the earliest use of the word in English (in the spelling of risque) as from 1621, and the spelling as risk from 1655. It defines risk as:
(Exposure to) the possibility of loss, injury, or other adverse or unwelcome circumstance; a chance or situation involving such a possibility.
For the sociologist Niklas Luhmann the term 'risk' is a neologism that appeared with the transition from traditional to modern society. "In the Middle Ages the term risicum was used in highly specific contexts, above all sea trade and its ensuing legal problems of loss and damage." In the vernacular languages of the 16th century the words rischio and riezgo were used. This was introduced to continental Europe, through interaction with Middle Eastern and North African Arab traders. In the English language the term risk appeared only in the 17th century, and "seems to be imported from continental Europe." When the terminology of risk took ground, it replaced the older notion that thought "in terms of good and bad fortune." Niklas Luhmann (1996) seeks to explain this transition: "Perhaps, this was simply a loss of plausibility of the old rhetorics of Fortuna as an allegorical figure of religious content and of prudentia as a (noble) virtue in the emerging commercial society." In other words, risk is when you take a chance at something which can either turn out better for you or could result in a negative outcome.
Scenario analysis matured during Cold War confrontations between major powers, notably the United States and the Soviet Union. It became widespread in insurance circles in the 1970s when major oil tanker disasters. The scientific approach to risk entered finance in the 1960s with the advent of the capital asset pricing model and became increasingly important in the 1980s when financial derivatives proliferated. It reached general professions in the 1990s when the power of personal computing allowed for widespread data collection and number crunching. Governments are using it, for example, to set standards for environmental regulation, e.g. decision trees as practiced by the United States Environmental Protection Agency.
modernisation has brought with it new kinds of risks. These are more abstract and disembodied risks than previously known, risks “layered over” older forms of risk. Rather than just dangerous events, these generally invisible and complex risks include patterned processes of increased danger such as background radiation, ozone depletion and global warming...
Risk is ubiquitous in all areas of life and risk management is something that we all must do, whether we are managing a major organization or simply crossing the road. When describing risk however, it is convenient to consider that risk practitioners operate in some specific practice areas.
Economic risks can be manifested in lower incomes or higher expenditures than expected. The causes can be many, for instance, the hike in the price for raw materials, the lapsing of deadlines for construction of a new operating facility, disruptions in a production process, emergence of a serious competitor on the market, the loss of key personnel, the change of a political regime, or natural disasters.
Risks in personal health may be reduced by primary prevention actions that decrease early causes of illness or by secondary prevention actions after a person has clearly measured clinical signs or symptoms recognized as risk factors. Tertiary prevention reduces the negative impact of an already established disease by restoring function and reducing disease-related complications. Ethical medical practice requires careful discussion of risk factors with individual patients to obtain informed consent for secondary and tertiary prevention efforts, whereas public health efforts in primary prevention require education of the entire population at risk. In each case, careful communication about risk factors, likely outcomes and certainty must distinguish between causal events that must be decreased and associated events that may be merely consequences rather than causes.
Health, safety, and environment (HSE) are separate practice areas; however, they are often linked. The reason for this is typically to do with organizational management structures; however, there are strong links among these disciplines. One of the strongest links between these is that a single risk event may have impacts in all three areas, albeit over differing timescales. For example, the uncontrolled release of radiation or a toxic chemical may have immediate short-term safety consequences, more protracted health impacts, and much longer-term environmental impacts. Events such as Chernobyl, for example, caused immediate deaths, and in the longer term, deaths from cancers, and left a lasting environmental impact leading to birth defects, impacts on wildlife, etc.
Over time, a form of risk analysis called environmental risk analysis has developed. Environmental risk analysis is a field of study that attempts to understand events and activities that bring risk to human health or the environment.
Information technology risk, or IT risk, IT-related risk, is a risk related to information technology. This relatively new term due to an increasing awareness that information security is simply one facet of a multitude of risks that are relevant to IT and the real world processes it supports.
The increasing dependencies of modern society on information and computers networks (both in private and public sectors, including military) has led to a new terms like IT risk and Cyberwarfare.
Information security means protecting information and information systems from unauthorized access, use, disclosure, disruption, modification, perusal, inspection, recording or destruction. Information security grew out of practices and procedures of computer security.
Information security has grown to information assurance (IA) i.e. is the practice of managing risks related to the use, processing, storage, and transmission of information or data and the systems and processes used for those purposes.
While focused dominantly on information in digital form, the full range of IA encompasses not only digital but also analog or physical form.
Information assurance is interdisciplinary and draws from multiple fields, including accounting, fraud examination, forensic science, management science, systems engineering, security engineering, and criminology, in addition to computer science.
So, IT risk is narrowly focused on computer security, while information security extends on risks related to other forms of information (paper, microfilm). Information assurance risks include the ones related to the consistency of the business information stored in IT systems and the one stored on other means and the relevant business consequences.
Insurance is a risk treatment option which involves risk sharing. It can be considered as a form of contingent capital and is akin to purchasing an Option (finance) in which the buyer pays a small premium to be protected from a potential large loss.
Insurance Risk is often taken by insurance companies, who then bear a pool of risks including market risk, credit risk, operational risk, interest rate risk, mortality risk, longevity risks, etc.
Means of assessing risk vary widely between professions. Indeed, they may define these professions; for example, a doctor manages medical risk, while a civil engineer manages risk of structural failure. A professional code of ethics is usually focused on risk assessment and mitigation (by the professional on behalf of client, public, society or life in general).
In the workplace, incidental and inherent risks exist. Incidental risks are those that occur naturally in the business but are not part of the core of the business. Inherent risks have a negative effect on the operating profit of the business.
The experience of many people who rely on human services for support is that 'risk' is often used as a reason to prevent them from gaining further independence or fully accessing the community, and that these services are often unnecessarily risk averse. "People's autonomy used to be compromised by institution walls, now it's too often our risk management practices" John O'Brien. Michael Fischer and Ewan Ferlie (2013) find that contradictions between formal risk controls and the role of subjective factors in human services (such as the role of emotions and ideology) can undermine service values, so producing tensions and even intractable and 'heated' conflict.
A high reliability organization (HRO) is an organization that has succeeded in avoiding catastrophes in an environment where normal accidents can be expected due to risk factors and complexity. Most studies of HROs involve areas such as nuclear aircraft carriers, air traffic control, aerospace and nuclear power stations. Organizations such as these share in common the ability to consistently operate safely in complex, interconnected environments where a single failure in one component could lead to catastrophe. Essentially, they are organizations which appear to operate 'in spite' of an enormous range of risks.
Some of these industries manage risk in a highly quantified and enumerated way. These include the nuclear power and aircraft industries, where the possible failure of a complex series of engineered systems could result in highly undesirable outcomes. The usual measure of risk for a class of events is then: R = probability of the event × the severity of the consequence.
The total risk is then the sum of the individual class-risks; see below.
In the nuclear industry, consequence is often measured in terms of off-site radiological release, and this is often banded into five or six decade-wide bands.[clarification needed]
The risks are evaluated using fault tree/event tree techniques (see safety engineering). Where these risks are low, they are normally considered to be "broadly acceptable". A higher level of risk (typically up to 10 to 100 times what is considered broadly acceptable) has to be justified against the costs of reducing it further and the possible benefits that make it tolerable—these risks are described as "Tolerable if ALARP". Risks beyond this level are classified as "intolerable".
The level of risk deemed broadly acceptable has been considered by regulatory bodies in various countries—an early attempt by UK government regulator and academic F. R. Farmer used the example of hill-walking and similar activities, which have definable risks that people appear to find acceptable. This resulted in the so-called Farmer Curve of acceptable probability of an event versus its consequence.
The technique as a whole is usually referred to as probabilistic risk assessment (PRA) (or probabilistic safety assessment, PSA). See WASH-1400 for an example of this approach.
In finance, risk is the chance that the return achieved on an investment will be different from that expected, and also takes into account the size of the difference. This includes the possibility of losing some or all of the original investment. In a view advocated by Damodaran, risk includes not only "downside risk" but also "upside risk" (returns that exceed expectations). Some regard the standard deviation of the historical returns or average returns of a specific investment as providing some historical measure of risk; see modern portfolio theory. Financial risk may be market-dependent, determined by numerous market factors, or operational, resulting from fraudulent behavior (e.g. Bernard Madoff). Recent studies suggest that endocrine levels may play a role in risk-taking in financial decision-making.
A fundamental idea in finance is the relationship between risk and return (see modern portfolio theory). The greater the potential return one might seek, the greater the risk that one generally assumes. A free market reflects this principle in the pricing of an instrument: strong demand for a safer instrument drives its price higher (and its return correspondingly lower) while weak demand for a riskier instrument drives its price lower (and its potential return thereby higher). For example, a US Treasury bond is considered to be one of the safest investments. In comparison to an investment or speculative grade corporate bond, US Treasury notes and bonds yield lower rates of return. The reason for this is that a corporation is more likely to default on debt than the U.S. government. Because the risk of investing in a corporate bond is higher, investors are offered a correspondingly higher rate of return.
A popular risk measurement is value-at-risk (VaR). There are different types of VaR: long term VaR, marginal VaR, factor VaR and shock VaR. The latter is used in measuring risk during the extreme market stress conditions.
In finance, risk has no single definition. In particular, it is not always obvious if financial instruments are "hedging" (purchasing/selling a financial instrument specifically to reduce or cancel out the risk in another investment) or "speculation" (increasing measurable risk and exposing the investor to catastrophic loss in pursuit of very high windfalls that increase expected value). Some people may be "risk seeking", i.e. their utility function's second derivative is positive. Such an individual willingly pays a premium to assume risk (e.g. buys a lottery ticket). In financial markets, one may need to measure credit risk, information timing and source risk, probability model risk, and legal risk if there are regulatory or civil actions taken as a result of "investor's regret". Knowing one's risk appetite in conjunction with one's financial well-being are important.
Security risk management involves protection of assets from harm caused by deliberate acts. A more detailed definition is: "A security risk is any event that could result in the compromise of organizational assets i.e. the unauthorized use, loss, damage, disclosure or modification of organizational assets for the profit, personal interest or political interests of individuals, groups or other entities constitutes a compromise of the asset, and includes the risk of harm to people. Compromise of organizational assets may adversely affect the enterprise, its business units and their clients. As such, consideration of security risk is a vital component of risk management." 
The following sections from ISO/IEC Guide 73:2002 are related with risk
One of the growing areas of focus in risk management is the field of human factors where behavioral and organizational psychology underpin our understanding of risk based decision making. This field considers questions such as "how do we make risk based decisions?", "why are we irrationally more scared of sharks and terrorists than we are of motor vehicles and medications?"
Framing is a fundamental problem with all forms of risk assessment. In particular, because of bounded rationality (our brains get overloaded, so we take mental shortcuts), the risk of extreme events is discounted because the probability is too low to evaluate intuitively. As an example, one of the leading causes of death is road accidents caused by drunk driving – partly because any given driver frames the problem by largely or totally ignoring the risk of a serious or fatal accident.
For instance, an extremely disturbing event (an attack by hijacking, or moral hazards) may be ignored in analysis despite the fact it has occurred and has a nonzero probability. Or, an event that everyone agrees is inevitable may be ruled out of analysis due to greed or an unwillingness to admit that it is believed to be inevitable. These human tendencies for error and wishful thinking often affect even the most rigorous applications of the scientific method and are a major concern of the philosophy of science.
All decision-making under uncertainty must consider cognitive bias, cultural bias, and notational bias: No group of people assessing risk is immune to "groupthink": acceptance of obviously wrong answers simply because it is socially painful to disagree, where there are conflicts of interest.
Framing involves other information that affects the outcome of a risky decision. The right prefrontal cortex has been shown to take a more global perspective while greater left prefrontal activity relates to local or focal processing
From the Theory of Leaky Modules McElroy and Seta proposed that they could predictably alter the framing effect by the selective manipulation of regional prefrontal activity with finger tapping or monaural listening. The result was as expected. Rightward tapping or listening had the effect of narrowing attention such that the frame was ignored. This is a practical way of manipulating regional cortical activation to affect risky decisions, especially because directed tapping or listening is easily done.
Since risk assessment and management is essential in security management, both are tightly related. Security assessment methodologies like CRAMM contain risk assessment modules as an important part of the first steps of the methodology. On the other hand, risk assessment methodologies like Mehari evolved to become security assessment methodologies. An ISO standard on risk management (Principles and guidelines on implementation) was published under code ISO 31000 on 13 November 2009.
As risk carries so many different meanings there are many formal methods used to assess or to "measure" risk. Some of the quantitative definitions of risk are well-grounded in statistics theory and lead naturally to statistical estimates, but some are more subjective. For example in many cases a critical factor is human decision making.
Even when statistical estimates are available, in many cases risk is associated with rare failures of some kind, and data may be sparse. Often, the probability of a negative event is estimated by using the frequency of past similar events or by event tree methods, but probabilities for rare failures may be difficult to estimate if an event tree cannot be formulated. This makes risk assessment difficult in hazardous industries, for example nuclear energy, where the frequency of failures is rare and harmful consequences of failure are numerous and severe.
Statistical methods may also require the use of a cost function, which in turn may require the calculation of the cost of loss of a human life. This is a difficult problem. One approach is to ask what people are willing to pay to insure against death or radiological release (e.g. GBq of radio-iodine), but as the answers depend very strongly on the circumstances it is not clear that this approach is effective.
In statistics, the notion of risk is often modeled as the expected value of an undesirable outcome. This combines the probabilities of various possible events and some assessment of the corresponding harm into a single value. See also Expected utility. The simplest case is a binary possibility of Accident or No accident. The associated formula for calculating risk is then:
For example, if performing activity X has a probability of 0.01 of suffering an accident of A, with a loss of 1000, then total risk is a loss of 10, the product of 0.01 and 1000.
Situations are sometimes more complex than the simple binary possibility case. In a situation with several possible accidents, total risk is the sum of the risks for each different accident, provided that the outcomes are comparable:
For example, if performing activity X has a probability of 0.01 of suffering an accident of A, with a loss of 1000, and a probability of 0.000001 of suffering an accident of type B, with a loss of 2,000,000, then total loss expectancy is 12, which is equal to a loss of 10 from an accident of type A and 2 from an accident of type B.
One of the first major uses of this concept was for the planning of the Delta Works in 1953, a flood protection program in the Netherlands, with the aid of the mathematician David van Dantzig. The kind of risk analysis pioneered there has become common today in fields like nuclear power, aerospace and the chemical industry.
People may rely on their fear and hesitation to keep them out of the most profoundly unknown circumstances. Fear is a response to perceived danger. Risk could be said to be the way we collectively measure and share this "true fear"—a fusion of rational doubt, irrational fear, and a set of unquantified biases from our own experience.
The field of behavioral finance focuses on human risk-aversion, asymmetric regret, and other ways that human financial behavior varies from what analysts call "rational". Risk in that case is the degree of uncertainty associated with a return on an asset. Recognizing and respecting the irrational influences on human decision making may do much to reduce disasters caused by naive risk assessments that presume rationality but in fact merely fuse many shared biases.
While fear is a fleeting emotion ascribed to a particular object, anxiety is a trait of fear that lasts longer and is not attributed to a specific stimulus. Studies show a link between anxious behavior and risk, the chance that an outcome will have an unfavorable result. Joseph Forgas introduced valence based research where emotions are grouped as either positive or negative (Lerner and Keltner, 2000). Positive emotions, such as happiness, are believed to have more optimistic risk assessments and negative emotions, such as anger, have pessimistic risk assessments. As an emotion with a negative valence, fear, and therefore anxiety, has long been associated with negative risk perceptions. Under the more recent appraisal tendency framework of Jennifer Lerner et al., which refutes Forgas’ notion of valence and promotes the idea that specific emotions have distinctive influences on judgments, fear is still related to pessimistic expectations.
Psychologists have demonstrated that increases in anxiety and increases in risk perception are related and people who are habituated to anxiety experience this awareness of risk more intensely than normal individuals. In decision-making, anxiety promotes the use of biases and quick thinking to evaluate risk. This is referred to as affect-as-information according to Clore, 1983. However, the accuracy of these risk perceptions when making choices is not known.
Experimental studies show that brief surges in anxiety are correlated with surges in general risk perception. Anxiety exists when the presence of threat is perceived (Maner and Schmidt, 2006). As risk perception increases, it stays related to the particular source impacting the mood change as opposed to spreading to unrelated risk factors. This increased awareness of a threat is overemphasized in people who are conditioned to anxiety. For example, anxious individuals who are predisposed to generating reasons for negative results tend to exhibit pessimism. Also, findings suggest that the perception of a lack of control and a lower inclination to participate in risky decision-making (across various behavioral circumstances) is associated with individuals experiencing relatively high levels of trait anxiety. In the previous instance, there is supporting clinical research that links emotional evaluation (of control), the anxiety that is felt and the option of risk avoidance.
There are various views presented that anxious emotions cause people to access involuntary responses and judgments when making decisions that involve risk. Joshua A. Hemmerich et al. probes deeper into anxiety and its impact on choices by exploring “risk-as-feelings” which are quick, automatic, and natural reactions to danger that are based on emotions. This notion is supported by an experiment that engages physicians in a simulated perilous surgical procedure. It was demonstrated that the anxiety about patient outcomes was related to previous regret and worry and ultimately caused the physicians to be led by their feelings over any information or guidelines provided during the mock surgery. Additionally, their emotional levels, adjusted along with the simulated patient status, suggest that anxiety and a respective decision is specific to the type of bad outcome. Similarly, another view of anxiety and decision-making is dispositional anxiety where emotional states, or moods, are cognitive and provide information about future pitfalls and rewards (Maner and Schmidt, 2006). When experiencing anxiety, individuals draw from personal judgments referred to as pessimistic outcome appraisals. These emotions promote biases for risk avoidance and promote risk tolerance in decision-making.
It is common for people to dread some risks but not others: They tend to be very afraid of epidemic diseases, nuclear power plant failures, and plane accidents but are relatively unconcerned about some highly frequent and deadly events, such as traffic crashes, household accidents, and medical errors. One key distinction of dreadful risks seems to be their potential for catastrophic consequences, threatening to kill a large number of people within a short period of time. For example, immediately after the September 11 attacks, many Americans were afraid to fly and took their car instead, a decision that led to a significant increase in the number of fatal crashes in the time period following the 9/11 event compared with the same time period before the attacks.
Different hypotheses have been proposed to explain why people fear dread risks. First, the psychometric paradigm  suggests that high lack of control, high catastrophic potential, and severe consequences account for the increased risk perception and anxiety associated with dread risks. Second, because people estimate the frequency of a risk by recalling instances of its occurrence from their social circle or the media, they may overvalue relatively rare but dramatic risks because of their overpresence and undervalue frequent, less dramatic risks. Third, according to the preparedness hypothesis, people are prone to fear events that have been particularly threatening to survival in human evolutionary history. Given that in most of human evolutionary history people lived in relatively small groups, rarely exceeding 100 people, a dread risk, which kills many people at once, could potentially wipe out one’s whole group. Indeed research found  that people’s fear peaks for risks killing around 100 people but does not increase if larger groups are killed. Fourth, fearing dread risks can be an ecologically rational strategy. Besides killing a large number of people at a single point in time, dread risks reduce the number of children and young adults who would have potentially produced offspring. Accordingly, people are more concerned about risks killing younger, and hence more fertile, groups.
It remains unclear if higher levels of risk perception in anxious individuals results in decreased “judgmental accuracy” (Joseph I. Constans, 2001). There is a chance that “judgmental accuracy” is correlated to heightened anxiety. However, Constans conducted a study where anxiety (and worry) in college student’s estimation of their performance on an upcoming exam showed errors in their risk assessments. Moreover, it is noted that with high levels of anxiety that are not attributed to anything in particular, the probability and degree of suffering associated with a negative experience is misjudged.
Where AR is audit risk, IR is inherent risk, CR is control risk and DR is detection risk.
In his seminal work Risk, Uncertainty, and Profit, Frank Knight (1921) established the distinction between risk and uncertainty.
... Uncertainty must be taken in a sense radically distinct from the familiar notion of Risk, from which it has never been properly separated. The term "risk," as loosely used in everyday speech and in economic discussion, really covers two things which, functionally at least, in their causal relations to the phenomena of economic organization, are categorically different. ... The essential fact is that "risk" means in some cases a quantity susceptible of measurement, while at other times it is something distinctly not of this character; and there are far-reaching and crucial differences in the bearings of the phenomenon depending on which of the two is really present and operating. ... It will appear that a measurable uncertainty, or "risk" proper, as we shall use the term, is so far different from an unmeasurable one that it is not in effect an uncertainty at all. We ... accordingly restrict the term "uncertainty" to cases of the non-quantitive type.:
Thus, Knightian uncertainty is immeasurable, not possible to calculate, while in the Knightian sense risk is measurable.
In this sense, one may have uncertainty without risk but not risk without uncertainty. We can be uncertain about the winner of a contest, but unless we have some personal stake in it, we have no risk. If we bet money on the outcome of the contest, then we have a risk. In both cases there are more than one outcome. The measure of uncertainty refers only to the probabilities assigned to outcomes, while the measure of risk requires both probabilities for outcomes and losses quantified for outcomes.
The terms attitude, appetite and tolerance are often used similarly to describe an organization's or individual's attitude towards risk taking. Risk averse, risk neutral and risk seeking are examples of the terms that may be used to describe a risk attitude. Risk tolerance looks at acceptable/unacceptable deviations from what is expected. Risk appetite looks at how much risk one is willing to accept. There can still be deviations that are within a risk appetite. For example, recent research finds that insured individuals are significantly likely to divest from risky asset holdings in response to a decline in health, controlling for variables such as income, age, and out-of-pocket medical expenses.
Gambling is a risk-increasing investment, wherein money on hand is risked for a possible large return, but with the possibility of losing it all. Purchasing a lottery ticket is a very risky investment with a high chance of no return and a small chance of a very high return. In contrast, putting money in a bank at a defined rate of interest is a risk-averse action that gives a guaranteed return of a small gain and precludes other investments with possibly higher gain. The possibility of getting no return on an investment is also known as the Rate of Ruin.
Hubbard also argues that defining risk as the product of impact and probability presumes (probably incorrectly) that the decision makers are risk neutral. Only for a risk neutral person is the "certain monetary equivalent" exactly equal to the probability of the loss times the amount of the loss. For example, a risk neutral person would consider 20% chance of winning $1 million exactly equal to $200,000 (or a 20% chance of losing $1 million to be exactly equal to losing $200,000). However, most decision makers are not actually risk neutral and would not consider these equivalent choices. This gave rise to Prospect theory and Cumulative prospect theory. Hubbard proposes instead that risk is a kind of "vector quantity" that does not collapse the probability and magnitude of a risk by presuming anything about the risk tolerance of the decision maker. Risks are simply described as a set or function of possible loss amounts each associated with specific probabilities. How this array is collapsed into a single value cannot be done until the risk tolerance of the decision maker is quantified.
Risk can be both negative and positive, but it tends to be the negative side that people focus on. This is because some things can be dangerous, such as putting their own or someone else’s life at risk. Risks concern people as they think that they will have a negative effect on their future.
This is a list of books about risk issues.
|Acceptable risk||Baruch Fischhoff, Sarah Lichtenstein, Paul Slovic, Steven L. Derby, and Ralph Keeney||1984|
|Against the Gods: The Remarkable Story of Risk||Peter L. Bernstein||1996|
|At risk: Natural hazards, people's vulnerability and disasters||Piers Blaikie, Terry Cannon, Ian Davis, and Ben Wisner||1994|
|Building Safer Communities. Risk Governance, Spatial Planning and Responses to Natural Hazards||Urbano Fra Paleo||2009|
|Dangerous earth: An introduction to geologic hazards||Barbara W. Murck, Brian J. Skinner, Stephen C. Porter||1998|
|Disasters and democracy||Rutherford H. Platt||1999|
|Earth shock: Hurricanes, volcanoes, earthquakes, tornadoes and other forces of nature||W. Andrew Robinson||1993|
|Human System Response to Disaster: An Inventory of Sociological Findings||Thomas E. Drabek||1986|
|Judgment under uncertainty: heuristics and biases||Daniel Kahneman, Paul Slovic, and Amos Tversky||1982|
|Mapping vulnerability: disasters, development, and people||Greg Bankoff, Georg Frerks, and Dorothea Hilhorst||2004|
|Man and Society in Calamity: The Effects of War, Revolution, Famine, Pestilence upon Human Mind, Behavior, Social Organization and Cultural Life||Pitirim Sorokin||1942|
|Mitigation of hazardous comets and asteroids||Michael J.S. Belton, Thomas H. Morgan, Nalin H. Samarasinha, Donald K. Yeomans||2005|
|Natural disaster hotspots: a global risk analysis||Maxx Dilley||2005|
|Natural hazard mitigation: Recasting disaster policy and planning||David Godschalk, Timothy Beatley, Philip Berke, David Brower, and Edward J. Kaiser||1999|
|Natural hazards: Earth’s processes as hazards, disasters, and catastrophes||Edward A. Keller, and Robert H. Blodgett||2006|
|Normal accidents. Living with high-risk technologies||Charles Perrow||1984|
|Paying the price: The status and role of insurance against natural disasters in the United States||Howard Kunreuther, and Richard J. Roth||1998|
|Planning for earthquakes: Risks, politics, and policy||Philip R. Berke, and Timothy Beatley||1992|
|Reduction and predictability of natural disasters||John B. Rundle, William Klein, Don L. Turcotte||1996|
|Regions of risk: A geographical introduction to disasters||Kenneth Hewitt||1997|
|Risk analysis: a quantitative guide||David Vose||2008|
|Risk and culture: An essay on the selection of technical and environmental dangers||Mary Douglas, and Aaron Wildavsky||1982|
|Socially Responsible Engineering: Justice in Risk Management (ISBN 978-0-471-78707-5)||Daniel A. Vallero, and P. Aarne Vesilind||2006|
|Swimming with Crocodiles: The Culture of Extreme Drinking||Marjana Martinic and Fiona Measham (eds.)||2008|
|The Challenger Launch Decision: Risky Technology, Culture and Deviance at NASA||Diane Vaughan||1997|
|The environment as hazard||Ian Burton, Robert Kates, and Gilbert F. White||1978|
|The social amplification of risk||Nick Pidgeon, Roger E. Kasperson, and Paul Slovic||2003|
|What is a disaster? New answers to old questions||Ronald W. Perry, and Enrico Quarantelli||2005|
|Floods: From Risk to Opportunity (IAHS Red Book Series)||Ali Chavoshian, and Kuniyoshi Takeuchi||2013|
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