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“Many man-made systems, including ICT systems, have positive feedback loops that cause certain local events to propagate and create extreme global behaviors. The extreme behaviors, especially unplanned downtime, become more common than stakeholders can accept. These outliers are modeled by probability distributions with thick tails. Unfortunately, classical methods for risk analysis based on predictions of future events tend to underestimate or ignore extreme global behaviors in complex adaptive ICT systems, even though these events may very well dominate the overall risk to stakeholders.” — Kjell Jorgen Hole
Many man-made systems, including ICT systems, have positive feedback loops that cause certain local events to propagate and create extreme global behaviors. The extreme behaviors, especially unplanned downtime, become more common than stakeholders can accept. These outliers are modeled by probability distributions with thick tails. Unfortunately, classical methods for risk analysis based on predictions of future events tend to underestimate or ignore extreme global behaviors in complex adaptive ICT systems, even though these events may very well dominate the overall risk to stakeholders.