Chaos

Chaos is often mistaken for randomness, but chaos theory tells us something else. Chaotic systems follow rules but are unpredictable. Small, seamingly random, decisions redirect the entire image. Seamingly random because all these small decisions do have their own origin and base. Order exists, but it is unstable, always shifting. Tiny variations can lead to vastly different outcomes. 

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The system is not disordered, it is sensitive.

 

The drawing follows its own logic. It cannot be fully planned in advance. Control doesn’t disappear; it spreads out from a multitude of fast made decisions.​

Rather than aiming for clarity or resolution, the proces accepts instability as a condition. Forms emerge, dissolve, reappear. Nothing settles. Balance is only temporary or never really achieved.

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Chaos is not something to overcome. It is the space where things happen.

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(digital drawings on iPad, 2025)

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