All the data you can eat

Petered out

Adam Oxford
Adam Oxford

Alessandro Angioi is, according to his bio, a quantum software engineer and data scientist with a PhD in Theoretical Physics. But has he been passed over for promotion recently? His reworking of a 2010 “proof” of the Peter Principle using Python and Mesa almost suggests that companies who promote at random could perform better than those who hamper their best employees by making them managers – but not quite.

Adam Oxford
  • Adam Oxford is a freelance journalist, media consultant and civic tech enthusiast. He also works closely with startups developing solutions to access to justice problems.

One Comment

  • Alessandro Angioi

    Hey! 🙂 Thanks for sharing my article. I did not know about Naked Data, but it looks very cool, I will start following it!

    Regarding my article, I quite like the fact that you wrote “proof” of the Peter principle between quotation marks: in my post (and in the original paper) humans are just represented by 2 numbers (+ their position)… of course that is really unrealistic! In general, everyone should be wary when a human appears in any kind of simulation.

    I just thought it could be a fun introduction to MESA, and a nice intro to one of the ideas in management I find most hilarious, second only to the Dilbert principle.

    Finally: no, I have not been passed over for promotion recently, but I guess it could be a legit source of inspiration for this article 😛

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