Before revision:  Conversely , if a candidate model does not generalise, then either it includes non-causes of the target variable  or the underlying variables are wrongly defined .
After revision:  Conversely , if a candidate model does not generalise, then either it includes non-causes of the target variable or the underlying variables do not represent the correct granularity of the problem .