Risk Analysis - A Subjective Process

by Felix Redmill
 


The Role of Subjectivity

The process of risk analysis involves subjective judgment at every stage. It is not an exact or objective process but a tool for arriving at approximate risk values so as to inform decision-making. Like all tools, it should be used within its limitations and with an understanding of its assumptions. It should not be considered an end in itself, and its results should not provide the only basis for making decisions.

Judgment is required not only in carrying out risk analysis but also in using its results - which it would be wrong to portray as definitive. But even approximate estimates can be of considerable value, as long as we recognize that the numbers are likely to be crude - and having to focus on the risks is rewarded by a greater understanding of them.
 

"Comparing risks against benefits is hugely subjective, for a benefit to one person is anathema to another, just as an intolerable risk to one may be quite acceptable to  another."


Certain risks - for example, those posed by genetically modified organisms - carry huge uncertainty, such that numeric values for probabilities and even for consequences are mostly speculative. In such cases, attempts to carry out quantitative hazard analysis are at best optimistic, and they can be misleading because numbers are often mistaken for accuracy. But the majority of risks subjected to analysis are concerned with the operation of equipment, the hazards involved in processes, and the safety of products. These, in most cases, are better understood. This does not mean that they don't carry uncertainty or that they are immune to subjectivity, but their analyses, whether quantitative or qualitative, are, in the main, effective in leading to risk reduction. Evidence for this exists in the vast number of industrial plants in operation, and products on the market, that the public does not perceive as risk issues. However subjective it may be, risk analysis is a valuable tool, and modern safety standards demand that it be carried out. Indeed, U.K. law requires most businesses to produce documented risk analyses. But it could be improved.

The subjectivity identified above is a vulnerability, but it is also one of the principal strengths of the process. Identifying and analyzing hazards and making decisions about risks demand human thought and human investigation. If the process were automated, it would not benefit from the human ability to probe and to take the situation as it is, rather than as some programmer previously generalized it as being. But human delving means that something is always likely to be missed and some things may be misjudged. Thus, it is important for risk analysts to understand and allow for the subjective influences on the process. These should be addressed in training and in planning and managing the risk-analysis processes.

 

About the Author

Felix Redmill is a consultant in risk management, project management and quality improvement, and the author and/or editor of many articles and books on risk and other technical subjects. He holds degrees in Electrical Engineering (London) and Computation (Manchester), is a Fellow of the Institution of Electrical Engineers and the British Computer Society, and is a Member of the Institute of Quality Assurance. He spent more than 20 years in industry, as engineer and manager, in both communications and system development, before starting his consulting business.

Felix has been the Coordinator of the Safety-critical Systems Club (U.K.) since its inauguration in 1991. He has been a visiting lecturer at various universities, served as chairman and member of various professional committees, and been a long-standing member of the European Workshop on Industrial Computer Systems. He is a frequently invited speaker to professional groups, and was the Awards Banquet speaker at the 18th International System Safety Conference in Orlando, Florida.

Acknowledgments

This paper was first published by the Institution of Electrical Engineers in its Journal of Engineering Management, Vol. 12, No. 2, April 2002.

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