you can smuggle your semantic logic in string caveats, embedding vectors, and all the complicated ML you want, but data distributions will always be far more ridiculous than you can be clever
so:
• be clear about what you need to know
• be clear that a plain reading of your data is enough to know
and you're ready to make reliable decisions! that's System One for you
