This is reflected in many ways: most obviously, the many mergers and acquisitions of publishers, giving increased economies of scale. This has the very unfortunate by-product of reducing competition.
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It also means that many (not all) of the people running scientific publishing are business people who specialize in managing operations (driving down operating costs while maintaining revenue), and in sales and marketing
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An example: IIRC Derk Haank, the CEO of Elsevier from 1998-2004 and of Springer, later Springer-Nature, from 2004 to 2017, did his PhD on economies of scale.
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Nothing intrinsically wrong with this. But we're at a time in history where the socially beneficial act isn't driving down operating costs while maintaining revenue. It's producing marvellous new tools, increasing access, etc. Current market structure isn't supporting this well
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Brokenness 3: The lack of growth models for the best new ideas. An example is the arXiv preprint server. It's one of humanity's great achievements of the past 30 years. Just in economic terms, over the long run it will generate trillions of dollars in social utility for humanity
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Replying to @michael_nielsen
Remember seeing this tweet a few months ago and it just popped back into my head. Pretty interested - how sure are you it’ll be trillions?
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Replying to @JacobTref
Sure? It depends on the exact meaning of the statement - one could formalize it in different ways. But in what seem the most reasonable interpretation it seems extremely likely.
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Replying to @michael_nielsen @JacobTref
Put the preprint server in 1800 and ask what effect it would have on the development of electromagnetism. It's quite plausible it speeds up the development of entire industries by many years. So just that one instance can plausibly be associated with ~ 10^9 dollars, IMO.
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Replying to @michael_nielsen @JacobTref
And, of course, EM is far from the only example one could use. The most likely rebuttal seems like an argument that the preprint server actually slows things down. Which is sorta fun to argue for.
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Replying to @michael_nielsen @JacobTref
I think I might back off "extremely likely" and just go for "likely".
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In specifics, I can't imagine a reasonable calculation in which the role of the preprint server for this paper https://arxiv.org/abs/quant-ph/9707021 … isn't many billions of dollars. My best model would place it much higher.
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Replying to @michael_nielsen @JacobTref
*Correction above, of course I meant 10^12 dollars. I was being lazy, and didn't want to type out trillion.
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Replying to @michael_nielsen
Gosh, great specific example. Am I reading right that the publication delay there was 5-6 years? Why was that?
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