You are defining an arbitrary boundary and making a false dichotomy. Do you understand what I'm saying?
Stop putting them in the same category. This is useless and nondescriptive. Here's what I mean by that : if you were to build a machine learning classifier with a decision tree algorithm, what do you think some of the most important differentiators would be?
Tell me which party tends to acknowledge scientific evidence more often.
A fool sets impossible standards and moans that everyone falls short.
Accept reality. Choose from the better options. There is no perfect except in mathematics (and maybe some physics we don't know yet)
Stop putting them in the same category. This is useless and nondescriptive. Here's what I mean by that : if you were to build a machine learning classifier with a decision tree algorithm, what do you think some of the most important differentiators would be?
Tell me which party tends to acknowledge scientific evidence more often.
A fool sets impossible standards and moans that everyone falls short.
Accept reality. Choose from the better options. There is no perfect except in mathematics (and maybe some physics we don't know yet)