There’s an effect where faced with a high-dim reality, you make more progress by removing dimensions from models than by adding them. 2x2s are a good example. Another is indented thread UIs —> unindented streams. Conversations are high-d. Going from 1-2 = false sense of clarity.
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Search is another example. When information gets rich enough discard fo,der and tag hierarchies. Just search.
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Wait, what? The goal of projection is to lose information that you think is noise, and concentrate the signal into a more legible, lower-D image. (The image is also denser, thus more intuitive than the often quite sparse source.)
Thanks. Twitter will use this to make your timeline better. UndoUndo
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