Non-Linearity

Our ability to solve more complex problems and think strategically is often impossible if we don’t grasp non-linearity in systemic relationships between causes and their effects. While we can usually see linear relationships without any problem, our minds persistently fail to grasp non-linearity.

In linear systems, actions have proportional effects, meaning we can easily see that if a little of some action does a little good, then slightly more of it will do slightly more good, and a lot of it will do a lot of good. In non-linear systems, on the other hand, an input produces disproportional output. 

One example of non-linearity is curvilinear relationship: a small dose has a small effect, a slightly larger dose has an enormously large effect, and an even larger dose has no effect at all or a negative effect. Or the effect could be synergistic; for instance, a pesticide X may have a very low potency (e.g. 1 on 100-point scale) and a pesticide Y may also have similarly low potency, but together combined they may become hundred times more potent effect than each of them by itself.