Our actions are based on our beliefs and the results of those actions are the basis for our beliefs. The difficulty we create for ourselves is that we make assumptions as to how to interpret the results we select based on our beliefs. As a result we are often operating on a flawed perspective of reality.
While all things are related for a particular situation all things are not relevant. We need to develop a simplified model of reality which depicts those interactions which are responsible for the patterns of behavior and current situation. We want the simplest model which enables the requisite understanding. This is no easy task though.
OK, we have a problem. Yet, do we really know what the problem is? More often than not we look at the symptoms, consider them the problem and attempt to fix them. This actually dooms us to failure because they're only symptoms.
This model introduces the S/O and +/- notation for depicting the relations that might exist between two elements along with why the +/- notation is preferred.
The issue of increasing private and government debt to banks is a major
concern after the financial crisis of 2008 (see Figure at link given below). In order to
understand why our society and government is increasingly indebted to banks we
need to understand how our current money system works and why we need a
continuous infusion of new money in a growing economy. “Why We Are Increasingly
Indebted To Banks?” investigates the reasons behind this and suggest a possible
solution.
Relative Control is one of the four generic archetypes developed by Eric Wolstenholme and maps to the Balancing Loop with Delay, Indecision, Limits to Results, Drifting Goals and Escalation Systems Archetypes.
This is a template which one might use as a basis for creating Insight Maker Relationship models. Links have default style of the blue ones in the diagram. The easiest way to get the red dashed links is to CTRL+d to duplicate them and then connect where appropriate.
The model construction process is actually a balancing loop which endeavors to employ an abstract version of real events to form a model which produces conclusions and behavior which mimic the real events.