Controlling is not regulating. Control assumes a fixed target, a model that knows the response of the system, and an ability to impose corrections. Regulation assumes a dynamics, margins, and an ability to absorb without breaking.
The machine paradigm
Control logic comes from mechanics: input, output, feedback, correction. It works for machines. It breaks when applied to living systems.
Why control breaks the living
The living is adaptive. It responds to control attempts by reconfiguring. Imposed stability produces hidden fragility. Optimized performance consumes margins. Controlled systems become dependent on the controller.
Co-evolution instead of mastery
The alternative is not abandonment but accompaniment. Creating conditions favorable to adaptation rather than imposing trajectories. Maintaining margins rather than maximizing outputs.
Science as misuse
Science describes. It does not prescribe. Using scientific knowledge to control rather than understand transforms a tool of lucidity into an instrument of fragility.