Systems with multiple interacting variables are intrinsically complex, nonlinear, and unpredictable, challenging the idea that more data and manipulation can lead to better control or foresight. Rather than pursuing prediction, science should focus on enhancing understanding within specific contexts and locations. Global solutions often fail because they overlook the unique intricacies of local systems. Repeating the same approaches while expecting different outcomes is a form of madness; thus, genuine engagement with the complexities of each situation is necessary for meaningful progress.

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