Mm - hmm.
but again we have these wonderful statistical mechanisms for quantifying that a that variability , and you know , doing something reasonable with it.
Mm - hmm.
So , um , uh , It - it 's same , you know , argument that 's gone both ways about uh , you know , we have these data driven filters , in LDA , and on the other hand , if it 's data driven it means it 's driven by things that have lots of variability , and that are necessarily  not necessarily gonna be the same in training and test , so , in some ways it 's good to have data driven things , and in some ways it 's bad to have data driven things. So ,