The Thinking, The Math, The Coding
About this workshop
One of the primary reasons given for not attempting to perform a State of the Art Quantitative Risk Assessment is that they are hard to do. No doubt, a State of the Art Quantitative Risk Assessment for a problem that deserves it does require some thinking, and as a result will require some math, and because every risk problem is unique, some unique coding. None of these is beyond anyone who should be working in the field, and we will in this session dispel those reasons for not performing a State of the Art Quantitative Risk Assessment. Plus, one advancement that we will discuss eliminates the source of many decision-making pitfalls, the application of decision maker values in the thinking, math, and code far too early in the process. This early application of decision maker values almost always happens due to using guesses. This advancement allows optimally objective, guess-free, quantitative risk assessments, to which the decision maker can then properly apply their values and make truly optimal decisions. (Sneak peak: we will also show how a State of the Art Quantitative Risk Assessment can be quicker, faster and much, much cheaper than a qualitative risk assessment.)
Topics covered by this workshop
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