The butterfly effect: A small change, like a butterfly flapping its wings, can lead to massive, unpredictable outcomes, like a hurricane, due to complex systems. [Image: Grok (xAI)]

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Unraveling chaos

As scientists began to investigate irregularities rather than dismiss them, they laid the groundwork for chaos theory—a discipline that explores unpredictability in complex systems. James Gleick observed, “Chaos starts where classical science stops” (Gleick, 1987, p. 5). This science examines how systems evolve, asserting that because change is universal, its principles apply across physical, natural, and social domains (Strogatz, 2015).

Chaos theory focuses on dynamic systems that don't follow a linear, predictable path. In simpler terms, it studies how complexity drives continuous change and how tiny variations can lead to dramatic outcomes. Though rooted in advanced mathematics, its insights are not beyond reach and are relevant to business, change leadership, social science, and human development. 

For example, chaos theory suggests that a minor shift in one part of a system—like a rumor in a community—can ripple outward, altering the whole. Yet, it also raises a question: Can it truly predict such shifts, or does it only explain them after the fact? In short, chaos theory clarifies that nothing can be predicted. It can only be explained--especially when people are involved.