Just updated my post on Decision Theory and the Risk Matrix with some material on the semiotics of colour and the advantages, as well as disadvantages, that it’s use in constructing a risk matrix brings.
Archives For colour semiotics
Why the risk matrix?
For new systems we generally do not have statistical data on accidents, and high consequence events are, we hope, quite rare leaving us with a paucity of information. So we usually end up basing any risk assessment upon low base rate data, and having to fall back upon some form of subjective (and qualitative) method of risk assessment.
Risk matrices were developed to guide such qualitative risk assessments and decision making, and the form of these matrices is based on a mix of decision and classical risk theory. The matrix is widely described in safety and risk literature and has become one of the less questioned staples of risk management.
Despite this there are plenty of poorly constructed and ill thought out risk matrices out there, in both the literature and standards, and many users remain unaware of the degree of epistemic uncertainty that the use of a risk matrix introduces. So this post attempts to establish some basic principles of construction as an aid to improving the state of practice and understanding.