And yet they struggle with the abstract concept. They'll wonder why the candidate with a projected 20% chance of winning won. They won't know what to do with the information of a 70% chance of rain tomorrow. "Either it will rain or it won't, which is it!" Perhaps it's the frequentist approach that comes more natural than the Bayesian approach, who knows.

This isn't my original thought, by the way. Someone wrote more about it here: https://towardsdatascience.com/humans-are-bad-at-probability...