In my notes: "Sapir Whorf seems to be only weakly true for so-called 'human languages', but strongly true for many other representations (mathematics, many interfaces, music, PL, etc)". BTW, I don't much like the term "natural" language, tho I'll concede it has some utility
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It might simply be because we now have a largely unified global context, and all linguistic families are required to explore a similar semantic space. This does not apply to specialized semantic areas, which don't have linguistic expressions in natural languages.
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Is that really a fact or just a conversation starter? I was always wondering if it applies to programming languages.
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How would I possibly know? I am just some story generated in a probabilistic biological computer that generates functions that try to model the world.
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Are you familiar with the series of papers on the Piraha? It was a whole thing:https://twitter.com/shapkaa/status/982023915319906304?s=19 …
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Yes! After being very puzzled, I mostly chalked them up as outliers: they have only a couple hundred speakers, so the group might have become stuck in a local minimum.
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No. And Arrival is another good example of a very radical Sapir Whorf interpretation.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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why is it mostly wrong for natural languages? perhaps wrong for qualitative concepts but not quantitative? for example the ability to discern colors increasing with language's resolution of color names.
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I think the ability to discern colors depends mostly on types of color receptors and practice, with resolution of color names in a given group probably being confounded by practice. But I would expect color names to strongly influence category prototypes.
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"A language that doesn't affect the way you think about programming, is not worth knowing." – Alan Perlis
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Python was a language that I found to be very close to how I thought about programming. I found it very beneficial to my programming practice to be able to express my thoughts quite closely.
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