Actually, some of us are! Singing lessons include a study of how you breathe. A lot of us do it wrong.

Mr. Bezos' Suffering Machine will turn human misery into clothes for you and bring them to your door, you know.

Doin' my bit by hiding behind my door and opening it to a pitch black hallway as the little moppets are just about to knock.

This is actually one of my favorite formulations of the second law of thermodynamics.

I believe that what you are calling 'polynominal' might be more widely known as 'multinomial', that is, a nominal variable with lots of categories as seen in a multinomial logistic regression.

The distinction then makes sense: your standard logistic regression is modelling the probability of seeing the two values of a binary variable at different values of a continuous variable, while the multinomial logistic regression generalises this to a nominal variable with multiple values.

The reason a search engine would get confused (I ended up going via a dictionary) is that as you may or may not know polynomial without the N is a word for a sort of equation (and indeed, one that makes sense to see in a statistical context).

I could be wrong, but I do not think this term 'polynomiNal' is a common one, and in my own work as an industrial data scientist I tend to call your 'binominal' variables 'binary', and 'polynominal' simply 'nominal'.

There is always the possibility that I missed something.