Neijuan
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[1]: https://lucumr.pocoo.org/2026/9/7/astra-why/
[2]: https://news.ycombinator.com/item?id=49654229
The most famous study is on Javanese farming: https://en.wikipedia.org/wiki/Agricultural_Involution
In terms of software development, here's a blogpost from 2025, by a professor at Sussex Uni: https://stunlaw.blogspot.com/2025/07/involution-and-artifici...
There are also some studies in China on the concept but I'm less familiar with that literature.
I have been thinking of measuring it along these lines perhaps... https://www.gitclear.com/the_ai_code_quality_maintainability...
But they have a closed sourced software so I would have to find or create an open one in that case.
Happy to hear if you have any ideas on study design!
But if you feel like it's raining, it probably is.
It's hypothesising a phenomenon. I'm looking for a measure. The phenomenon is intuitively correct, but also suspiciously attractive. Sort of like the bullshit-job (or corrupt-bureaucrat) hypotheses, where every job or public official one doesn't like can be conveniently terms bullshit absent any rigour.