![]() You can see how people have found ways to blast through large numbers of words by using things like Anki or Memrise.īut it would be a waste to limit our understanding of what Anki or spaced repetition can do to just learning vocabulary lists. And yes, it is great for learning vocabulary in an efficient manner. The first use case or scenario in which many encounter spaced repetition software or uses is language learning. We also need better examples and models of people who use it in a variety of domains of their life. For a general audience, we probably need a better term to help people understand what you can do with Spaced Repetition. It's only descriptive after the fact, once someone has explained to you about Ebbinghaus and his experiments learning sheets of random numbers during the 1870s. Maybe Spaced Repetition isn't the best word. This is an observation that this, for him, is a skill he is enjoying learning, and one that gives him a great sense of that satisfaction that comes from doing a rewarding activity at just the right level of difficulty. Time / Flow - DHH talks about driving racing cars and how time really flies when he does this.Systems Improvement - this isn’t explored that deeply in the part I listened, but it was a good reminder that there is a way of thinking about improvement that sees improving the system as the way to improve the skill.Learn What You Need - DHH talks about learning to code as a way of solving a particular problem, and about learning only just enough rather than diving into that learning as a pure pursuit needing you to learn everything.He talks about how finding the thing in the topic / skill / domain that interests him is often a case of just keeping burrowing down until you find it. There are various metaphors often used for curiosity, but in the podcast DHH talks about the need to ‘dig / scratch below the surface’. ![]()
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