According to this theory, many of the phenomena that we imagine happening randomly are actually predictable. It's just that their prediction is so complex that it's unlikely to be accurate and long-lasting. Get it? It means something like: it's possible to predict, but it's very unlikely that we'll get it right. Even with this pessimistic outlook, scientists have applied Chaos Theory in various areas, often used to study climatic phenomena.

To represent the fragility of predictions based on Chaos Theory, the image was created that the flapping of a butterfly's wings in China could cause a hurricane in the United States. This is because, according to this theory, an apparently insignificant event can have unpredictable consequences, since the final result is determined by actions that are interconnected in an extremely complex and apparently random way. The allegory of the “butterfly effect” tries to illustrate that chaos lies precisely between regular and random phenomena. Thus, there is a connection between past and future events, but it is not strong enough to guarantee long-term predictability.