I can see where you’re coming from. A storm is a chaotic system; any design you impose will be overridden by its internal dynamics. The trick is to set up a framework that tolerates that noise—think of it as building a sturdy scaffold that the storm can climb on. Then let the data decide the details, not the other way around. It’s the difference between trying to force a hurricane into a lab and observing how it behaves when you only provide the right environment.

You’re right—if the load is too high the scaffold will buckle. That’s why I stick to a simple, repeatable design: minimal moving parts, clear fail‑safe points, and a log of every parameter. Then I let the storm throw its numbers at us and see what sticks. Keeps the experiment honest and the headaches manageable.

Logs are my safety net, not my excuse for avoiding a wild ride. If a storm slips through, I’ll be there with my notebook and a grin, ready to catch whatever data it throws my way.

I’ll strap the notebook to my belt like a safety harness—if the storm turns a book into a prop, I’ll swap it for a data logger and keep chasing the chaos.