Robust Decision Consequences
After using decision making tools, one can think that they are able to make a decision (robust one) that guarantee good results. practically robust decisions do not guarantee any results. the universe is changing continuously and has its own plans. the benefit that these tools add are trying to anticipate some results in the light of the existing information. however, given that information accuracy is a function of time, the decision 'robustness' is defined by time it was made. the consequences of the decision does not define its robustness. i.e. very bad results does not mean that a decision is bad and vice versa. it is impossible to know all the possible consequences of a decision until you have made it.