The tragedy is that systemic failures are rarely corrected by arguments.

They’re corrected by consequences.

Stochastic systems don’t collapse in labs or demos.

They collapse when pushed to extremes — scale, coupling, time, and reality.

History is consistent on this point:

Unsafe bridges aren’t abandoned until they fall

Bad risk models aren’t rejected until markets burn

Flawed weapons aren’t banned until casualties force the issue

Stochastic AI follows the same pattern.

When determinism is abandoned, failure doesn’t arrive as a single event.

It arrives as diffuse, deniable harm — error by error, decision by decision, system by system.

Leaders call this “innovation.”

Engineers call it “acceptable risk.”

Victims experience it as reality.

Those who relinquish determinism don’t escape causality.

They just learn from deterministic consequences instead of deterministic design.

Probability does not negotiate.

Averages do not protect.

And systems that cannot prove correctness eventually prove their failure in the real world.

This isn’t pessimism.

It’s the oldest engineering lesson we keep relearning the hard way.

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#SystemsEngineering #Determinism #Risk #Verification #EngineeringEthics #EndOfStochasticEra