- Jun 2022
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Local file Local file
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When a few of his friends became interested in thetopic, he took eight minutes to progressively summarize the bestexcerpts before sharing the summarized article with them. The timethat he had spent reading and understanding a complex subject paidoff in time savings for his friends, while also giving them a newinterest to connect over.
To test one's own understanding of a topic one has read about and studied, it can be useful to discuss it or describe one's understanding to friends or colleagues in conversations. This will help you discover where the holes are based on the person's understanding and comprehension of what you've said. Can you fill in all the holes where they have questions? Are their questions your new questions which have exposed holes that need to be filled in your understanding or in the space itself.
I do this regularly in conversations with people. It makes the topics of conversation more varied and interesting and helps out your thinking at the same time. In particular I've been doing this method in Dan Allosso's book club. It's almost like trying on a new idea the way one might try on a piece of clothing to see how it fits or how one likes it for potential purchase. If an idea "fits" then continue refining it and add it to your knowledge base. These conversations also help to better link ideas in my thought space to those of what we're reading. (I wonder if others are doing these same patterns, Dan seems to, but I don't have as good a grasp on this with other participants).
Link to :<br /> - Ahren's idea of writing to expose understanding<br /> - Feynman technique<br /> - Socratic method (this is sort of side or tangential method to this) <- define this better/refine
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- May 2021
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This approach also splits email development for modern email clients and older clients in two. You can use Safari/Chrome to test and develop modern techniques for WebKit-supported clients while using Firefox for your baseline experience for older clients like Outlook.
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- May 2020
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psyarxiv.com psyarxiv.com
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Padilla, L., Kay, M., & Hullman, J. (2020). Uncertainty Visualization [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ebd6r
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- Apr 2020
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en.wikipedia.org en.wikipedia.org