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The Words of Risk Analysis: SRA 311 Lecture 2

Thursday, August 28th, 2008

Today I gave a lecture to my risk management class at Penn State (SRA 311, Risk Management: Assessment and Mitigation) focused on the words of risk analysis (lecture 2 of 31).  As anyone who provides services to any type of client knows, one of the first things you have to do on day one is ensure a common understanding of key words and phrases.  This was part one of my lecture, that is, explaining that people don’t necessarily assign the same meanings to certain words as others, even if they are in the same field.  The remaining parts focused on two words in particular – “security” and “risk” – and sought to explain what “risk” is and how it fits into security activities.  This lecture was fun for me to deliver, but in hindsight, it was probably a bit too densely packed with ideas for students with less background knowledge.  All in all, I think it went ok.

Class Summary

As a backdrop for discussion, I had my students read two articles.  The first article was entitled “Same Words, Different Meanings: The Need for Uniformity of Language and Lexicon in Security Analysis and Management” by Andrew Harter (a good friend of mine) published by the Critical Infrastructure Protection Program of the George Mason University School of Law in the monograph entitled Critical Infrastructure Protection: Elements of Risk (prepared by Liz Jackson, another good friend of mine).  Basically, this article is a call to action in the security analysis and risk management community for establishing a common lexicon through voluntary consensus standards.  For those unfamiliar with this issue, Mr. Harter’s article addresses the question “why is a common lexicon needed?” and “what can be done to make progress toward this goal?”   Though one might argue that alternative viewpoints (e.g., a common lexicon is not needed) were not addressed in this article (which is a “hit” on fairness), the point surely rings true to anyone who plays the security risk analysis game.  Imagine how difficult it is to communicate on risk matters when your definition of risk (e.g., potential for harm) doesn’t match well with mine (e.g, loss following an event).  I’ve experienced hours of time wasted due to a simple misinterpretation of language, and nothing is worse than arguing semantics when other more important issues have yet to be resolved.

Some might argue that definitions don’t matter so much.  After all, risk analysis is a decision support activity, and really all that matters is whether we have empowered the decision maker with “decision advantage.” [I borrow this phrase from the Jennifer Sims at Georgetown University as it is applicable to ALL areas where analysis is done, risk and intelligence in particular].  Accordingly, one might accept the definition of risk as “whatever is appropriate for the decision maker at the time.”  But as the author of my second paper, Giovanni Manunta, might argue, while such a vague definition might be useful in the client-analyst context, it is not helpful if one desires to treat risk as a science and methodically study all the different subtopics that fall under the heading of risk analysis (see the very first text block on the Society for Risk Analysis homepage for their definition of what “risk analysis” entails).  A common understanding of the various “words of risk analysis” is needed in order to speak sensibly about the subject within the community of educators, scholars, and practitioners.  (as an aside, see Professor Kristan Wheaton’s blog for an interesting and related discussion entitled “What is Intelligence?“)

The second paper discussed in my class was entitled “What is Security?” by Dr. Giovanni Manunta and published in the Security Journal, Volume 12, Issue 3, pp. 57-66 (http://dx.doi.org/10.1057/palgrave.sj.8340030).  I chose this paper for three reasons.  First, for me it was a great read and why not share with my students papers I find worthwhile.  In fact, many of Dr. Manunta’s monographs are really worth spending some time reading and absorbing if you are in the security profession.  Second, this paper is a nice complement to the first in that it goes into great depth as to why a commonly accepted conceptual definition for security is needed.  Third, this paper actually does a good job of describing the conceptual underpinnings of security by explaining in detail the three required elements of a security context – namely, a Protector (the entity that desires security), a Threat (the entity that challenges the protector’s security), and an Asset (the object of conflict).  The general formula for security, S, is then S=f(P,T,A)Si, where the Si outside of the parenthesis is a variable that accounts for the situational factors underlying the relationship between P, T, and A.  If any one of P, T, or A are absent in a given situation, you do not have a security context, and as such it makes no sense to speak about managing risks.

At this point I finished discussing (as socratically as I could in the time I had available) the two articles.  Throughout I attempted to elicit from students answers to questions centered on Elder and Paul’s Eight Elements of Thought and Intellectual Standards to encourage critical analysis of who the people writing such articles are, their purpose for writing, points of view, concepts, assumptions, etc.  However, I tried not to stretch this discussion out too long given that I already had my students complete a written assignment that systematically addresses the eight elements and intellectual standards.

The next portion of this lecture centered on how risk management fits within the world of security.  Borrowing from Manunta’s Diogenes Paper No. 1 (ISBN: 0-9501575-4-6), I sought to leverage assumed prerequisite knowledge of Venn Diagrams and Set Theory to explain the concepts of Security and Not Security, where Not Security includes Total Insecurity and all degrees between.  The degrees in-between represents a fuzzy-boundary between security and not security, that is, if one accepts that the state of security is actually a fuzzy set.  The Venn diagram I used is shown below, though in class I actually drew it on a Tablet PC.

The point I stressed is as follows: in a security context, a Protector has finite resources to make progress toward an unbounded objective.  This is where risk management comes in – risk management is used to maximize the efficiency of these resources by applying them in such a way that maximizes our progress toward a state of security.  The balance of risk between what we want to achieve and what we can achieve is known as the residual risk.  Ultimately, given the options available to us to reduce risk in light of available resources, we want to minimize the residual risk.  But as Manunta points out in “What is Security?,” security involves risk management, but managing risk doesn’t necessarily guarantee security.  That is, risk management and security are not the same thing.

I ended the lecture with a light hearted game of “Risk Mad Libs.”  First, I offered a generic definition of risk intended to guide us through our thinking in the rest of the course.  The definition is as follows:

Risk: The uncertainty around future events

We discussed what was meant by the word “uncertainty” in this definition, and examined the different types of uncertainty that we often encounter in risk analysis.  This includes the variability associated with one or another event occurring among a set of mutually exclusive (distinct) and collectively exhaustive (complete) alternatives, the incertitude associated with whether elements in our set are relevant or whether our set of alternative events is complete, and the inherent vagueness in what any particular element of the set really means.  Unfortunately, my extemporaneous nature kept me from explaining the remaining two words – “future” and “events,” but if I could go back in time I would stress that risk has to do with the uncertainty in what will happen and not what has already happened, where the future “events” can be described as a situational description (“mom will get sick”) or in terms of some measures (“1 morbidity” and “$10,000 in medical fees”).

Now that we had a definition of risk to work with, I asked students to break into groups and fill in the blank:

____________________ Risk

where the blank can represent practically any word.  My specific instructions were to select one “serious” word and one “silly” word, fill in the blank with each in turn, and in doing so characterize the nature of what is meant by the resulting phrase (i.e., who would care, what are some causes of concern and what are outcomes of concern).  I started with the serious word “information” to form the phrase “information risk.”  Then I moved onto the word “political” followed by the silly word “dog.”  For each we identified someone who might be considered a stakeholder in such a field (e.g., “dog owner” for “dog”), and brainstormed what events could occur (“dog runs away”) and the spectrum of ensuing outcomes (“dog gets hit by car,” “dog bites pedestrian,” “dog comes home”).  In the remaining 2 minutes of class following the exercise, we had some cool responses, including “computer mouse risk,” “environmental risk,” “body odor risk,” etc.   The basic idea here was to enable students to reason out what is meant when you see a phrase such as “financial risk,” and after this lecture I am confident the students can do this.

Next Up

The next lecture stands to be a fun one – the topic is “The Role of the Risk Analyst and Decision Advantage.”  This lecture is the second of 3 “Philosophy of Risk” analysis lectures; after these, we will be way more applied in the classroom setting (something I am sure the students would appreciate).

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