Learn
see memory, invest, durability, fossilization
see learning techniques active recall, spaced repetition, interleaving
--- https://youtu.be/5eW6Eagr9XA
resource learn how to study smart by Marty Lobdell --- https://youtu.be/IlU-zDU6aQ0
resource Guessing the Teacher's Password, on the distinction between passwords and explanations --- https://www.readthesequences.com/Guessing-The-Teachers-Password
learning requires repeated attempts and deliberate practice in a high-validity environment, which means: --- 6854a88e-e810-8008-a280-e93598dd7b91
- cues reliably correlate with outcomes
- consistent statistical regularities exist
- feedback is accurate and timely
example it shouldn't be so surprising people can measure bolts by eye because it checks all the boxes of a highly learnable skill
sometimes you can conjure up learning out of thin air just by giving yourself access to timely feedback
example read your grocery receipts right before putting groceries away (an example of habit stacking) to get better at predicting where your money is going
example read writeups after participating in a CTF to identify inefficiencies in your solutions
an easy one to forget is you get good at what you practice, so practice what you're trying to get good at
example if you want to get good at flashing bouldering problems, practice flashing bouldering problems. you could give yourself one attempt per problem per session, or you could create a culture where your friends tell eachother not what problems they've sent, but how many attempts it took them
be wary of "experts" in low-validity fields---arguably, it's a contradiction in terms, because low-validity environments are not conducing to the development of expertise
example political scientist Philip Tetlock picked 284 people who make their living commenting or offering advice on political or economic trends. this included journalists, foreign policy specialists, economists and intelligence analysts. over two decades he peppered them with questions [...] and by the end of the study Tetlock had quantified 82361 predictions. these experts, most of whom had post-graduate degrees, performed worse [...] than random chance. --- https://youtu.be/5eW6Eagr9XA?t=319
note admission officers and recruitment specialists don't get timely feedback on their decisions, so they kinda suck. but why not just give them timely feedback? say, every few applicants, silently give them a "dummy" applicant that previously worked at the company or studied at the university, and after they make their decision, reveal the historical performance of the dummy applicant to serve as feedback