In a system, an action always has a reaction. These interactions are categorized as feedback loops, which determine whether a system stays stable or spirals out of control.
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Reinforcing Loops (Positive Feedback): These amplify change. A small action leads to more of the same action, creating exponential growth or a "death spiral." (e.g., The Butterfly Effect in a viral trend or a bank run).
Balancing Loops (Negative Feedback): These seek stability or equilibrium. When a system moves too far in one direction, a balancing loop pulls it back. (e.g., A thermostat or the way your body regulates temperature).
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The Iceberg Model
Systems thinkers use the Iceberg Model to understand why things happen:
Events (The Tip): What we see (e.g., a machine breaks down).
Patterns: What has been happening over time (e.g., the machine breaks every month).
Structures: How the parts are organized (e.g., the maintenance schedule is flawed).
Mental Models: The beliefs and values that keep the system in place (e.g., "We only fix things when they're broken to save money").
Systems Thinking is a holistic approach to analysis that focuses on how a system's constituent parts interrelate and how systems work over time and within the context of larger systems.
Researcher Note:
Identify Leverage Points: Don't try to fix the "Event." Look for the small change that can produce a big, lasting shift in the "Structure." This is often counter-intuitive.
Identify Leverage Points: Don't try to fix the "Event." Look for the small change that can produce a big, lasting shift in the "Structure." This is often counter-intuitive.