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### #todo
- [ ] Andy Matuschak on "Are memory systems really necessary?"
- 1. Naturalistic environments often don’t reliably or clearly surface conceptual gaps. And if you have a nuanced conceptual understanding at the moment, the naturalistic environment often won’t reinforce all aspects of it, even though those aspects may in fact be useful later.
- 2. Memory systems can help you more rapidly “bootstrap” yourself to the point where you can use that material naturalistically.
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### Goal
- Design a system that improves long-term memory and “makes memory a choice rather than a haphazard event” ([Michael Nielsen](http://augmentingcognition.com/ltm.html)).
### Benefits
- **Memory**: Efficiently improve long-term memory.
- **Understanding**: Reveal knowledge gaps and incentivize understanding of a topic.
- **Creativity and problem-solving**: Increase fluency and speed in associating and combining ideas, increase the ability to intuit patterns.
### Background
- **[[The forgetting curve refers to the empirical finding that the probability of correctly recalling an item declines roughly exponentially with time unless the information is reinforced|Forgetting curve]]**: The probability of correctly recalling an item declines roughly exponentially with time unless the information is reinforced.
- **[[Retrieval practice involves drawing ideas from memory rather than looking up the answer|Retrieval practice]]**: When you attempt to actively recall some knowledge from memory, you tend to reinforce those memories.
- Retrieval practice is best on intellectual, highly factual, verbal domains, but may still work in many low-level domains.
- Types of questions, in descending order of preference: 1. Free recall, 2. Short answers, 3. Multiple-choice, 4. Cloze deletion, 5. Recognition.
- **Exponential backoff**: Revisit each piece of information at exponentially increasing intervals. This slows the decay of memory and gradually consolidates it.
### Design principles
- **Optimize for emotional commitment**: Develop a strong positive emotional connection to the review sessions. Select material that is immediately relevant.
- **Optimize for long-term goals**: Memorize things that serve you in the long term.
- **Do not memorize without comprehension**: It’s far more useful to actually understand a topic. It also helps you select the right material to remember.
- **Start with the big picture**: Build a picture of the whole topic first before breaking it down into simple items to memorize.
- **Build on the basics**: Memory of the basics is often the largest barrier to understanding, and comparatively cheap to remember.
- **Avoid overfitting**: Don’t remember irrelevant information or random noise. Identify exactly what you want to know and be as precise about it as possible.
- **10-minute rule**: Select material that seems worth investing 10 minutes of your time in the future to memorize.
- **Don’t reinforce wrong beliefs**: Add the source to whatever claim you want to remember. Don’t take it at face value.
- **Use software that manages the review schedule**: E.g., [Anki](https://apps.ankiweb.net/). Keep it simple and use a small set of features – for instance, simple “question and answer” cards.
- Anki keyboard shortcuts:
- Cmd + N: Change note type
- Cmd + Enter: Add card to deck
- Cmd + Shift + C: Insert cloze
- **Write good prompts**: Design prompts that, when used in aggregate, force you to use your memory as much as possible and fully “know” the material.
- **Focused** on one detail at a time (atomic).
- **Precise** about what they’re asking for, permitting exactly one answer.
- **Consistent** in the answers they produce and memories they retrieve.
- Inconsistent activations tend to erode your memory.
- **Tractable** so you can answer them correctly almost always.
- **Effortful** so you actually have to retrieve the answer from memory.
- Desirable difficulties lead to stronger memories.
- **Add cards iteratively**: When reading a paper, capture the core claims, questions, and ideas in 5-10 cards. Come back later and add more cards if needed.
- **See it as a virtuoso skill, to be developed**: Building a great spaced repetition memory system takes time and practice, and yields substantial benefits.
%%### Andy Matuschak's examples
- **Attributes and tendencies**: What makes X an X? What’s always, sometimes, and never true of X?
- How is X usually made?
- **Similarities and differences**: What relates and distinguishes X from other adjacent concepts?
- How is X different from Y?
- **Parts and wholes**: What are some examples of X? Are there important “sub-concepts”? Is X part of some broader category?
- Name at least 3 examples of X
- **Causes and effects**: What does X do? What causes it to do that? What doesn’t it do? When is it used?
- Why do people use X instead of Y to do Z?
- **Significance and implications**: Why does X matter? What does it suggest? Make it personally meaningful.
- What explains why Y is often better than Z?
- **Procedures**: What are the important verbs, and when should you move between them? What are the key adjectives, adverbs, subjects, objects?
- When preparing X, what should you do after doing Y?%%
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Type: #permanent
Topics: [[Learning (Index)]], [[Knowledge management]]
Links:
- [Spaced Repetition for Efficient Learning – Gwern](https://www.gwern.net/Spaced-repetition)
- [Augmenting Long-term Memory – Michael Nielsen](http://augmentingcognition.com/ltm.html)
- [Twenty Rules of Formulating Knowledge – Piotr Wozniak](https://www.supermemo.com/en/archives1990-2015/articles/20rules)
- [How to Write Good Prompts – Andy Matuschak](https://andymatuschak.org/prompts/)
- [Rules for Designing Precise Anki Cards – Soren Bjornstad](https://controlaltbackspace.org/memory/designing-precise-cards/)
- [Anki Essentials – Alex Vermeer](https://foggymountainpass.com/anki-essentials/)
- [Spaced Repetition – LessWrong](https://www.lesswrong.com/tag/spaced-repetition)