The idea started from a simple observation: people often feel that their luck changes depending on time, context, or even certain types of events.
But most of the time we only remember a few outcomes, which makes it hard to see whether any real pattern exists.
So I started collecting large numbers of small “luck events” using virtual lottery simulations and comparing them with real lottery results from different countries. Over time this creates a dataset where you can look at distributions, streaks, clustering and other patterns.
I built a small tool to run these experiments here: https://laetus.app
Curious whether people here think this kind of dataset could reveal anything interesting about how we perceive randomness.