>>It is incredibly easy to find statistically significant correlations given just a few (more than 7) different views of the data. In general these ml models ar

>>It is incredibly easy to find statistically significant correlations given just a few (more than 7) different views of the data. In general these ml models are not working with less than hundreds or thousands. I would be interested in seeing examples. So far in this thread the arguments were along the lines of: "but then the algorithms punishes poor neighborhood instead of race" but you shouldn't have address in the data either as (I hope) nobody is ok on punishing people for living in bad neighborhood. We should only include data we would like to see in the explanation of the sentencing. "You are not getting parole because you live in a poor neighborhood" is unfair while most people would be ok with: "You are not getting parole because you willingly associated with people who committed crime".