Adultery was picked because it is a very common behavior which is nonetheless viewed very poorly by society. It's the kind of thing which historically gets politicians into trouble. Being named as an adulterer is a realistic thing for a politician to fear, as it could ruin their life - the way getting labelled a terrorist or a pedophile or similar will be a reasonable thing for a citizen to fear when systems are debuted that use the same technology to label people with a likelihood score. That is why adultery was picked. If you wanted to do by pay-for-play where would you get your training data set? Where are the people who have actually lost their office because of that? The others are the same. We have a long history of politicians getting busted for adultery, so we can have a good training dataset. And the results will be garbage and useless. That's the whole and entire point. Once you have an automated system built, it doesn't matter whether its conclusions have any merit. It will hand out judgements, no one will be able to explain what basis they actually have, but investigations will be targetted and reputations will be destroyed.
My intent isn't even to accomplish any of that reputation destruction, it is simply to show Congress the ill use such systems can and will be put to.
Likewise having a spiff 18 months ago at burning man or glasto isn't really a huge risk to security if its not a crime - would also help with recruitment for TLA's
Why not instead look at real crimes like pay-for-play, fraud, sexual assault, etc.?