If you take the average introductory statistics textbook it tells you thinks that are true for normally distributed data.

If you are faced with a real world problem that doesn't follow the normal distribution and try to apply statistical techniques proven to work for normal distributed data you are getting mistakes.

Being good at statistical modelling means that you have an idea of what assumptions you can make about a certain data set and the kind of errors you will get when your assumptions don't match reality.