We want our systems predictable—even when our work, teams, and users aren’t. These deterministic tendencies shape how we design, debug, and survive complexity.
Why engineers gravitate toward determinism
- control, trust, cognitive load
Where determinism is real vs imagined
- pure functinos vs distributed systems
The tradeoff: determinism vs throughput
- correctness vs speed
Biases created by deterministic thinking
- “shouldn’t this be simple?” fallacies
Learning to design with uncertainty
- patterns for partial determinism
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