“Complexity” and “chaos” are commonly used words that have both everyday and technical meanings. In their technical incarnations, both complexity theory and chaos theory deal in part with cases in which it’s difficult to predict what’s going to happen next.
For chaos theory, think “butterfly effect.” Tiny changes in the initial conditions of a system can have (under certain circumstances) immense effects down the line.
For complexity theory, think “network.” A free, viral YouTube video can have a profound effect on the public’s perception of a company in spite of the company’s multimillion dollar advertising budget.
Even if your system is complex (and not all systems are), that doesn’t mean you can determine in advance which YouTube video will go viral, andĀ even if your system is chaotic (and not all systems are), that doesn’t mean you can tell which huge effect the butterfly will have down the line.
When the system you are in is complex or chaotic, you’ve got to get over the idea that you’re going for mastery. Mastery, predictability, and control just don’t stack up in complex or chaotic systems the way they do in other contexts.
Instead, cultivate fluid response and resilience.
Leave a Reply
You must be logged in to post a comment.