How to Deal With Misprints and Bad Data

There's a few different kind of main ways to deal with it. I think one way Is basically kind of ignoring outliers and this is a common tactic in Statistics, which is just a predefined before you've looked at your data. And then there's another way which is called Windsorizing which is similar except that instead of getting rid of outliers You just set them to be the maximum threshold that you could you know feasibly observe. The chance that you know enough of them have misprints at the same time to really damage my portfolio is very low so this idea of Accepting that bad things can happen and then adjusting the structure of your portfolio or strategy Based on that acceptance is is