βFACETS is an acronym presented by Ian McCammon to describe a set of 6 heuristic traps that were common in his study of recreational accidents.β
Tag: Risk
π Two Scenario Threat Modeling
A trap that many people fall into when trying to threat modeling or risk planning is a fear of being incomplete that leads them to not even try. People think, “there are so many possible things that could go wrong, so many potential risks. It’s going to be such a huge effort to enumerate all possible scenarios, and I don’t have time, so I guess I can’t do threat modeling.” That is, threat modeling seems so big, so hairy, that people believe it’s too complex to tackle.
This just isn’t true! Some planning is always better than no planning. In fact, you can get a surprising amount of value out of a very simple and fast technique: imagine a couple of scenarios – just two! – and game out what you could do to mitigate them.
π Comfort Scores: A risk mitigation tool for pre-trip briefings
π What if We Thought About Risk Decisions Differently?
π Potential causes of accidents in outdoor pursuits (the Meyer/Williamson matrix)
π Decision making matrix for alpine climbing (#)
Great example of a simple risk framework in action.
π Thinking About Risk: Sidebar #4: Quantitative Risk Revisited
π Thinking About Risk: Sidebar #3: Two Flavors of Medium Risk
π Thinking About Risk: Sidebar #2: The Swiss Cheese Model
π Thinking About Risk: Sidebar #1: "Exposure"
π Thinking About Risk: Mitigation
π Thinking About Risk: An introduction to thinking about risk
π Hierarchy of Controls | NIOSH | CDC (#)
Interesting framework for thinking about risk mitigation. Designed for workplace protection, but could be applied to lots of different risk scenarios. Compare with Magoo’s Five Factors, there are some similarities here.