5/ But it's a good way to filter for people you can truly think well with, because they'll sense where you're going without explicit flags
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Replying to @vgr
6/ More sociopathically, it's a good way to filter out people who're stalled at say level n+1 or n+2 by their responses. A shibboleth effect
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Replying to @vgr
7/ More sociably, it is improvised dog-whistling to discover others who are also on same trail but also don't want to show their hand yet
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Replying to @vgr
8/ This is pure 20-20 hindsight. I defaulted into this mode of interaction, especially in public places like Twitter as a filter strategy
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Replying to @vgr
9/ I like to think of it as public-key steganography or something. It's better than walls, moats and explicit/visible filter strategies
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Replying to @vgr
10/ Allows you to have your public cake and eat your private one too. It's a big part of stream smarts I think, and I see many doing it
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Replying to @vgr
11/ Aside, this is the opposite of fake-it-till-you-make-it. Instead of embellishing reputation to gain learning opps, you tarnish it a bit
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Replying to @vgr
12/ Fake-it-after-you-make-it in a sense, to squeeze out fragility in learning
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Replying to @vgr
13/ In general, good to have your reputation in X lag your capabilities in X significantly. Allows you to under-promise and over-deliver
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Replying to @vgr
14/ (under-promise/over-deliver is basis of all indefinite length relationship mktng; over-promise/under-deliver is for finite, brand mktng)
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15/ There is similarity between this learning strategy and journalistic and interrogation methods, which is why it can seem hostile
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Replying to @vgr
16/ The diff is that this is non-zero-sum learning rather than entrapment tactic based on not letting on how much you already know
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Replying to @vgr
17/ Maybe call it "victimless interrogation" or "victimless journalistic digging"
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