Site icon The Next Us

It’s (not) complicated

We all understand simple mechanical systems like pulleys.

Complex systems, like rain forests, however, work differently.

They exhibit unique characteristics, including modularity, homeostasis, self-organization, resilience, emergence, non-linearity, inter-dependence with other complex systems, and collapse.

In work and life, we encounter complex systems every day. They include:


One sure-fire way to make big mistakes is to expect complex systems to behave like simple ones. You’ll notice people doing this all the time. E.g., “My investments are down right now, but you know, the pendulum always swings back.” These simple system metaphors can warp our understanding of what’s really going on.

Complex systems aren’t necessarily complicated, however.

First of all, they all obey similar principles. We may not be able to grasp the underlying algorithms perfectly, but we know what kinds of phenomena to expect.

Secondly, they can all be examined at the level of dynamic complexity or detail complexity. Dynamic complexity focuses on the key variables that matter. It merits more attention. Detail complexity either distracts us with minutiae or gives us valuable data to test whether our current algorithms are correct.

Many of the experts I admire and feature on The Next Us website understand complexity very well. Examples:

In my own strategy consulting and individual coaching work, here are some insights related to complexity that tend to recur:

Exit mobile version