This itself is interesting enough.
I've been on the inside of a few risk management systems, with hundreds of signals feeding into a scoring product.
Invariably, and justifiably from the data, there is a "Florida rule", which affects the user's final risk score by a few percent.
This is mostly old-school deterministic stuff with manual weighting, tweaked over years of time by people far away from (and with no particular opinions about) Florida. The newer mystery box AI stuff, trained on many years of data, also shows the same bias!
I'm sure there's a story in this data.