10/ But how do you now implement these concepts and figure out which ones work best in your situation?
How do you know what’s effective and what’s not?
One solution to this dilemma is double-loop learning.
11/ We can think of double-loop learning as learning based on Bayesian updating — the modification of goals, rules, or ideas in response to new evidence and experience.
@FarnamStreet has a great primer on this in their article below.
12/ And the most frustrating part: even after spending a huge amount of time, you might need a fresh pair of eyes to start seeing what is in front of you, and what exactly you need to unlearn before learning further.
13/ In fact, G.K. Chesterton has managed to put it beautifully, “The things we see every day are the things we never see at all.”
Thanks for reading!
And all the very best in your endeavor to build expertise!