What are Causal loops Causal loops are elements in a language call system thinking. There are two types of causal loops, balancing loops and reinforcing loops. I already wrote about the benefit of using those two loops for your organization. Figure A Casual loops are models that represent reality, but like any other models, they
Reveal how delays in causal loops can help you Read More »
We all used scientific methods to resolve daily issues that are based on analytical thinking. If you want to resolve a complex problem, break it to smaller pieces to gain simplicity, resolve the simple parts, and then you can resolve the complex issue. It wasn’t a long time ago when we (as humans) discovered non-deterministic sciences
Principle: Don’t simplify complexity, embrace and use it. Read More »
Most of us are following the analytical approach when we face complex problems. “Analytical approach” is the use of an appropriate process to break a problem down into the smaller pieces necessary to solve it. Each piece becomes a smaller and easier problem to solve (http://www.thwink.org/sustain/articles/000_AnalyticalApproach/index.htm). While this method might be beneficial for specific scenarios,
Simplifying system’s problems increase the system complexity Read More »
Our deterministic approach (bad or good, right or wrong, heaven or hell, etc.) drive most of us to be deterministic even when we are evaluating future options. There is a reason why most of us wired to think in a deterministic way. Deterministic is simple and more comfortable than taking the non-deterministic approach. In the non-deterministic approach,
The benefit of a non-deterministic approach Read More »