There is a lot of confirmation bias in the industry around estimates. If an estimate is ever wrong, it's never taken as evidence that estimation in general is a flawed practice. The failure is always attributed elsewhere, usually to a lack of effort or focus. But if an estimate happens to prove true (even broken clocks are correct twice a day), everyone pats themselves on the back and says, "look how predictable we are. We are so good at estimation."