One of my obsessions is to learn how to learn. I constantly experiment with new ways of learning more efficiently and expanding my capacity to learn, understand, and memorize.
One of the practices I’ve found most helpful for learning is – to quote my high school physics teacher Bill Dunbar – to know “where I’ve been, where I’m am, and where I’m going.” In other words, it is incredibly helpful to put any learning experience in the context of what I’ve previously learned by reusing and building upon this previous learning in my current learning, and in the context of what I seek to learn by giving current learning some motivation or direction based on this envisioned destination of future learning. Another way to say this is that I translate and simplify everything I learn into my own language, whether that language is a mathematical language (e.g. I picture my theory about relative happiness as an absolute happiness curve minus its moving average over time), an athletic one (e.g. I view most traits, including my own productivity, as capable of being trained through a planned schedule of concentrated rituals that are designed in the same stress-recovery mindset as weightlifting and interval training), a Bayesian one, or a photographic one. As mentioned in Moonwalking with Einstein, this helps with memory due to the chunking phenomenon – by building each piece of new knowledge in terms of a few chunks or concepts that I have already packaged into a few words or images (e.g. one already packaged chunk is my image of the graph for quantities that are relative over time in the happiness example above, and another chunk is my conception of the word “training,” which encodes my experience with training in sports as a set of highly focused stress-recovery rituals), I can more easily remember and draw connections between different parts of my learning. And isn’t that was learning is – just remembering new information and synthesizing and connecting it with what I already know?
A big part of this translation is taking what I learn during class lectures, talks, reading, or interesting conversations with friends and chunking a lot of information into a few big ideas. Taking notes to articulate what I just learned right after coming out of lecture is a good way to do this, but I’ve yet to chunk as well and as often as I’d like (it takes time) in addition to taking notes just to record my learning in general. To ritualize chunking and (as an auxiliary benefit) spark some conversation regarding what I’m learning, I will begin to open source my notes from all of my learning experiences and chunk the interesting thoughts on this blog from this point onward.
You can find my (raw) open notes here, which include class notes from this semester at Harvard as well as various talks that I’ve attended and found interesting.