I would argue the opposite is true. It takes a long time to beat the Bayesian thinking out of students when presenting them with a confidence interval: https://link.springer.com/article/10.3758/s13423-013-0572-3

The exact opposite is true. Virtually everyone’s intuition is aligned with the Bayesian model. That intuition has to be hammered out of people in their stats classes because for decades frequentist approaches were computationally more feasible, even if they don’t align with how most humans interpret probability.