1.Important General Principle: The information delivered by a feedback loop can only affect future behavior: it can't deliver the information, and so can't have an impact fast enough to correct behavior that drove the current feedback.
2.Every balancing feedback loop has its breakdown point.
3.Complex behaviors of systems often arise as the relative strengths of feedback loops shift, causing first one loop and then another to dominate behavior.
4.Shifting dominance refers to the change in dominance between inflows and outflows.
5.Model utility depends not on whether its driving scenarios are realistic but on whether it responds with a realistic pattern of behavior.
1.Questions for testing the value of a model
1. are the driving factors likely to unfold this way?
2. If they did would the system react this way?
3. What is driving the driving factors?2.Systems with similar feedback structures produce similar dynamic behaviors
3.A delay in a balancing feedback loop makes a system likely to oscillate.
4.Any physical, growing system is going to run into some kind of constraint sooner or later.
5.A quantity growing exponentially toward a constraint or limit reaches that limit in a surprisingly short time.
1. How does one identify out of a system what are the reinforcing, feedback and balancing loops? Guesswork?
2. How is one able to predict future patterns if the variables are always changing?
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