I like this article. Randomness in system design is one of the most practical ways to handle the messiness of real world inputs, and I think random forests nail this by using randomness to produce useful outputs to various inputs without overfitting and adapt to the unexpected. Yeah, you can always engineer a system that explicitly handles every possible situation, but the important question is “how long/costly will that process be?”. Deterministic systems aren’t good on that front, and when edge cases hit, sometimes those rigid models crack. Controlled randomness (load balancing, feature selection, etc.) makes systems more flexible and resilient. You don’t get stuck in the same predictable ruts, and that’s exactly why randomness works where pure determinism fails