The concept of Ecological Variability is a module I use to have a point of reference.
Variability is very important. Things that don’t change eventually solidify or die down. At the same time, too much variability can be too much sometimes.
And this is not even a preference that you might have. It all comes down to ecology. Self-sustained dynamics that will evolve and develop will survive. Those who don’t adapt or insist in a rigid kind of way will gradually run out of resources.
So in the end, it’s good for the environment if the dynamics of this variability is ecological. Species can co-exist, organisms can develop and grow, people can think of creative stuff and science instead of impeding crises and wars.
This is how it translates into politics, everyday life, movement, and anything else. Interchangeble cycles are good. If they have variability — even better. Sometimes it is also important to go for a repetition (to get through or to regenerate) or to disrupt everything (break the rules, first-order principles, develop it again from zero again or just destroy and wait).
Ecological variability is a framework to maintain beneficial dynamics and to know when to let go and then when to also hang on to something. It’s like thinking: if you’re too focused on a certain idea, like the AI that is going to arrive and take over or that cops can break in any moment, then you give in a recurrent thought that shapes your mind and body through neuroplasticity. Instead, thinking of good things will generally lead to more interesting results. But always too good is too boring, so an occasional stream of bad news is also welcome at times.
It is implemented in InfraNodus AI text analysis tool to stimulate variability in thinking and reading.
It is also implemented in EightOS practice where we explore natural fractal patterns of movement and interaction that are the most adaptive to the environment.