Overconfidence in flawed human intuition is equally if not more dangerous. Math and algorithms done correctly are unbiased, unlike humans. Economics, unlike much of machine learning and computer science, is often based on very loose base assumptions. Hence the flaws.

Science and math have varying levels of rigor depending on the domain. On the other hand, not using them has a consistent outcome: guessing and ignorance.