That depends on how you measure. The higher 50% see their incomes cut in half in your example, you are only playing games with boundaries.
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Replying to @foggyanabasis @St_Rev
But it is easy to distinguish these cases, and indeed the data is not showing the effects you are describing at all.
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Replying to @foggyanabasis
It's not a game with the boundary, it's a reliable effect of boundary definitions changing over time.
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Replying to @St_Rev
Dude goes from penniless college student to SV IPO millionaire. Goes from 30th percentile to 99th. Counts as a huge rise for the top 1%.
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Replying to @St_Rev
No, it counts as a huge increase for someone in the bottom 99%. Seriously, this is not hard.
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Replying to @foggyanabasis @St_Rev
You don't classify cohorts by end of period income when you study their income over a period. No serious econometrician does that.
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Replying to @foggyanabasis @St_Rev
It'd be like studying the death rate of a disease by putting end-of-period survivors in the denominator. That's not how its done.
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Replying to @foggyanabasis
I've seen it in the popular press with some frequency. I don't have examples to hand, though.
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Replying to @St_Rev
Tweet inspired by somewhat related (tho more complicated) report here: https://www.statista.com/statistics/241530/birth-rate-by-family-income-in-the-us/ … Ppl tend to have kids at beginning of career!
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This is coming straight out of census data. Lay people read that and see a "marching morons" scenario.
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. Banned in Sweden. SubGenius, Zhuangist, white-hat troll. Defrocked mathematician. Brain problems.