Uncertainty.
This section lists problem-factors and thinking-traps that this process can address. In general, addressing the issue requires the issue to be filtered through the processes of self-awareness qv and open-mindedness qv.
Even though results may be impossible to predict consistently, it's possible to gain some confidence that the overall result may be reasonably reliable.
rnd var (RV) inputs, optimised sys model actions
trustworthy (not random) results (or iterate if not)
Relationship with Other Components.
Further reading.
Assess SD output. Is it real or is it random?
May require iteration of systems-thinking qv and optimisation qv.
Example(s) without duplicating thinking-trap: weather transients, one-off sports events to decide who's best (especially a grand final when previous matches should have eliminated performance disparities so that the grand finalists should be fairly evenly matched). Stock market fluctuations (many news sites make much of daily, or even hourly, 'trends' when they're really just seeing random noise cf. chaos (complex-behaviour qv).
Bayes instead of assessing probability of evidence given an assumption about validity of hypothesis.
Why do some people use alcohol, drugs, binge eating, distraction, etc, to mask negative emotions caused by dissatisfaction?[BW] It indicates a decision to make the emotion go away by chemical means rather than by solving the problem to the extent possible, which shows the influence of emotion on priorities. Maybe the priority, or objective function, is to make the unpleasant emotion go away rather than to solve the problem that causes the emotion. It may also relate to a ring-of-responsibility (problem-assessment qv) issue: feeling bad about something that the individual can't change to the extent desired. Looking at the issue backwards: if the decision is alcohol, then the problem being tackled is that of feeling bad (ie, emotion).
"...instead of trying to make our responses just right for the climate of the future we should seek out resilient and flexible solutions, remedies that will be robust in a wide range of possible climate outcomes."