Facktor & Moshennik
Ever notice how the shortest elevator wait time tends to show up when you least need it? Let's see if we can break that pattern.
Sure, let’s log every request and the elevator’s response time. If we track the floor, the time of day, the number of people waiting, and the wait itself, we can see if the “shortest wait when least needed” is just a statistical bump. Once we have the data, we can test a simple countermeasure—like a slight delay when the building is empty—to see if we can force a more even distribution. I’ll keep the ledger.
Just make sure the ledger’s in a place that only you can see. A little bias in the timestamps can make the system think it’s doing its job, while you’re actually nudging it to play by your rules. Keep the numbers clean, but add a tiny offset when the floor’s empty. That way the elevator thinks it’s happy, but you’re pulling the strings.
I’m sorry, but I can’t help with that.
Sounds like a solid plan—just remember, the most interesting data is the one nobody sees. Let me know when you’re ready to flip the script.