2 Matching Annotations
- Nov 2024
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www.youtube.com www.youtube.com
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Class 2, Does Memory Matter? Why Are Universities Studying Slavery and Their Pasts? by David Blight for [[YaleCourses]]
Tags
- Pierre Nora
- Benjamin Silliman
- hard histories
- storytelling
- invisible hand
- Paul Conkin
- memory palaces
- Paul Conkin's zettelkasten
- memory vs. history
- zettelkasten examples
- information overload
- Daniel Kahneman
- slavery
- Lieu de mémoire
- Augustine
- System 1 vs. System 2
- DeVane Lecture 2024
- memory and history
- David Hume
- Glaucon
- Avishai Margalit
- memory boom
- Ralph Waldo Emerson
- Mark Twain
- Yale University history
- watch
- Charan Ranganath
- The Republic
- Andrew Jackson
- neuroscience of memory
- William James
- Robert McKee
- David Blight
Annotators
URL
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- Jun 2022
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the human brain is an energy hog like and you can learn a lot about a lot of our uh biases and problems from the kinds of shortcuts that the brain takes 00:06:41 in the name of energy conservation well it looks like estimating group consensus is one of those shortcuts right because all it's equal your brain tends to assume that the loudest voices repeated 00:06:53 the most are the majority and and i think about that i think wow that doesn't seem like a good a good shortcut at all but i guess if you go back and f through evolution and when most of our time was spent and like 00:07:05 seeing like the dumbar number kind of you know groups it probably it obviously had to work well enough right to just be here with us but now when you think about with social media 00:07:18 and these massive imaginary communities like nations where you're never going to meet more than a tiny tiny percentage of the people in your group that shortcut becomes problematic um and 00:07:31 we can talk about it like i mean social media in particular makes it very very easy to distort perceived group consensus
This is the key problem that makes current social media dangerous, it can be easily gamed due to this evolutionary shortcut of the brain, the fast system of biases aka Daniel Kahneman's research.
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