Ad-supported models were one almost immune to this. Newspapers / TV stations basically can’t detect a difference between someone who uses the artifact once a week and someone who uses it 40h+ a week, and if they could, they’d be worth approximately the same amount of money.
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This changed with pageview based online advertising, because a hyperconsuming outlier generates many more ad impressions. The thing that really kicked this issue into the public spotlight, though, was recommendation engines which in optimizing for engagement made outliers.
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You might think that I’m using “hyperconsuming outlier” as a euphemism. I’m not. Some of the psychographs are morally odious or low-status (two things society often confuses, unfortunately). Some are neither; librarians, for example, index off the charts.
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I think the dislocation people feel about this is that, in a model where culture is sold, if you’re watching it, it is for you. In a model which optimized for the outlier, you’re relevant only to the extent you can be transformed into an outlier. What you’re watch is for them.
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An example that isn’t YouTube/Twitter or ad supported is the anime market, which has a *gigantic* worldwide following and also a small subculture of hyperconsuming outliers who dominate the economics of anime-related goods purchases. Their tastes often dictate the product.
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End of conversation
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I’m gonna be honest, I have very little idea what you said
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Optimizing content production with respect to page views is a classic case of “using a metric makes the metric useless”
Thanks. Twitter will use this to make your timeline better. UndoUndo
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