The Paradox of Deeper Learning: The Unlearning Curve

Heads-up: This is nothing to do with "deep learning" in the machine-learning sense.

It's mostly about the need to "unlearn" things that you learned about a topic while on the path to understanding it, because some of the things you learned may have been simplifications or generalizations, that ultimately end up confounding a true understanding.

The period of unlearning will allow you to grasp deeper / more fundamental / truthier concepts, but it can be hard to do.

I think the deeper troughs must be where a lot people rage quit Mathematics in K-12?