signal out of it so the first kind of invariance that we can rely on is something called marginal matching so there's some math here but then the brief idea is really like if I want to translate one distribution from one distribution to another after the translations the distribution should still look like each other and more precisely what it means is that there was some fundamentally unknown coupling there's some fundamentally unknown relationship between these two random variables a and B that we are trying to