Skip to content
HomeVideosBooksBlogs
AllTop postsTopics
Podcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K
    B

    Berglas

    berglas.org · Personal blog · on HN since 2009

    Anthony Berglas's site hosts essays on why software projects fail and the risks of AI, plus a copy of Parkinson's Law.

    Visit blogHN submissions
    Business & StrategyManagementAI & Machine Learning
    What HN says

    HN commenters link it for the essay on why software project failure is important, and the Parkinson's Law PDF, recommending it as a short read on bureaucracy.

    Stats for nerds
    22HN people shared it
    9linked in comments
    322story points
    Dec 2024last shared
    2013people per year2024

    Top posts on HN

    1. 1
      Why It Is Important That Software Projects Fail (2008)
      11 people · 316 points · first shared 2009 · 72 comments on HN
    2. 2
      Parkinson's Law (1955) [pdf]
      7 people · 4 points · first shared 2015 · Discussion on HN
    3. 3
      Artificial Intelligence Will Kill Our Grandchildren (Singularity)
      4 people · 1 points · first shared 2015 · 1 comments on HN
    4. 4
      Why it is Important that Software Projects Fail
      1 person · 1 points · first shared 2011 · Discussion on HN
    5. 5
      Index
      1 person · first shared 2017

    What HN people wrote when they linked it

    • acdSep 2020

      I think that Parkinsons law applies to all form of administration tasks including doctors and hospitals.
      "Parkinson's law is the adage that "work expands so as to fill the time available for its completion".
      It is sometimes applied to the growth of bureaucracy in an organization."

      Parkinson noticed that the English ship fleet was decreasing in numbers but the number of administrators administrating the fleet was increasing. This rule can be generalized and said to adhere to all kind of public work. If we do not keep Parkinsons law in check doctors will spend more time at computers fulfilling rules administrators invented instead of doing real critical work helping sick patients. Our tax burden will also increase since the efficiency of the system goes down over time, more tax money needs to be allocated to serve the rules and laws the administrators have invented. Is critical that we limit the number of rules and laws administrators can invent so that we have efficient system that serves there original purpose.

      Parkinson's law is the adage that "work expands so as to fill the time available for its completion"

      Key take away passage from Parkinsons law:
      "The accompanying table is derived from Admiralty statistics for 1914 and 1928. The
      criticism voiced at the time centered on the comparison between the sharp fall in numbers
      of those available for fighting and the sharp rise in those available only for
      administration, the creation, it was said, of "a magnificent Navy on…

    • segfaultbuserrSep 2020

      No. I think he's serious. The same author also advocates that the manufacturing and distribution of high-performance processors should be outlawed and regulated as nuclear weapons in order to save humanity from a potential AI singularity [0]. Also, since the computing power we currently have may already be sufficient to run an AGI via distributed computing, destroying existing computers may be necessary. Finally, since he concluded that software projects don't really improve social productivity (in this article), that (high-performance) computers isn't a good idea to humanity in general, therefore, reverting back to the early 90s and asking everyone to use 10 MHz computers is an acceptable solution - you also solve the problem of software bloat simultaneously. In addition, he also suggested that patent trolls might actually be the saviors since they slow down the development of computing and AI.

      Later he extended these ideas to an entire book [1].

      The author's ideas are highly unconventional, but I won't say it's unreasonable or even uncommon in tech - Bill Joy's Why The Future Doesn't Need Us shares similar concerns, the author simply took a much stronger position.

      [0] https://berglas.org/Articles/AIKillGrandchildren/AIKillGrandchildren.html

      [1] http://computersthink.com/

    • TBuretteJul 2020

      C. Northcote Parkinson wrote about single reports in his 1995 Parkinson's law article published by The Economist[1]. That's the article that articulated in its first sentence the Parkinson's law we all know.

      In the article he explains that a worker that feels overworked prefers to have subordinates rather than a peer of his own level that would be a rival for promotion.

      A single subordinate is not ideal because the work would be divided between the two and the subordinate would assume an almost equal status in practice. With two subordinates each is kept in order by fear of the other's promotion and the new manager has the merit of being the only one to comprehend the work of the subordinates. This sets the stage for the two subordinates getting their own assistants. He explain how this new group of people make work for each other.

      [1] http://www.berglas.org/Articles/parkinsons_law.pdf

    • mushufasaJun 2019

      I think this is hilarious, but probably not going to continue to be true. Yes, a lot of software products fail, but automation is increasingly driving capital growth and replacing labor. The p2p gig economy does cut out a lot of bureaucracy, and AI advances... both of which were hard to predict in '08.

      The article he cited, Parkinson 1955 (originally in the Economist), on the relationship of british naval bureaucracy to work, is even more interesting imo! http://www.berglas.org/Articles/parkinsons_law.pdf . It hypothesizes a growth equation for bureaucracy where the only exogenous factor is the underlying population. I'd be curious whether more rigorous research says anything about bureaucratic growth, as we're stretching further towards an era where minimal % of the population has to do any 'blue collar' labor. Maybe in the field of institutional economics?

    • yosefkJun 2019

      Berglas actually wrote about AI as well (http://www.berglas.org/Articles/AIKillGrandchildren/AIKillGrandchildren.html), and suggested to legally limit chip frequency to 1 MHz to avoid AI proliferation, on the theory that from an evolutionary standpoint, rogue AI is inevitable. More recently (during the current deep learning bubble) he wrote a whole book about AI.

    • User23Nov 2019

      The pithy quote is just the opening sentence to the piece. The substance is far more interesting and describes a law about the growth of bureaucracies. I strongly recommend anyone interested to just read the whole thing, because it's only 5 pages.

      [1]https://www.berglas.org/Articles/parkinsons_law.pdf

      edit: Thanks. Fixed.

    Related

    LessWronglesswrong.com2.4k people

    The Best Textbooks on Every Subject

    LessWrong
    Publication · last shared 2026
    AI Alignment Forumalignmentforum.org97 people

    Gödel, Escher, Bach: an in-depth explainer

    AI Alignment Forum
    Publication · last shared 2026
    Ed Zitronwheresyoured.at363 people

    The man who killed Google Search?

    Ed Zitron
    Personal · last shared 2026
    Google Research Blogresearch.google584 people

    Google Titans architecture, helping AI have long-term memory

    Google Research Blog
    Company · last shared 2026
    Simon Willisonsimonwillison.net957 people

    How to succeed in MrBeast production (Leaked PDF)

    Simon Willison
    Personal · last shared 2026
    The Morning Paperblog.acolyer.org606 people

    Local-first software: you own your data, in spite of the cloud

    The Morning Paper
    Personal · last shared 2026
    Statistical Modeling, Causal Inference, and Social Sciencestatmodeling.stat.columbia.edu350 people

    Suspicious data pattern in recent Venezuelan election

    Statistical Modeling, Causal Inference, and Social Science
    Publication · last shared 2026
    Better Programmingbetterprogramming.pub319 people

    Three programmers got fired, including me, due to a single app crash

    Better Programming
    Publication · last shared 2025