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Phil Bull

Personal blog · philbull.wordpress.comscienceprogramming

Phil Bull writes Lumps 'n' Bumps, a personal blog at philbull.wordpress.com about science and programming. Since 2012, 3 different Hacker News readers have linked it 3 times, most often “Why we can ignore reviews of scientific code by commercial software developers”. The last post was in 2022, but the archive is still widely read.

Visit the blog
3mentions?
3HN people?
2012–2020first – last linked?
Links on Hacker News per year · peak 2 in 2020

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

Posts about the criticism of Neil Ferguson's Imperial College epidemic simulation code by software engineers. One commenter links it while arguing that code quality misses the real issue.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Random outbursts of theoretical cosmology

Most-linked posts?

  1. Why we can ignore reviews of scientific code by commercial software developers
    2 people · 2 mentions · first linked 2020-05-18

What Hacker News says?

  1. Whether the Imperial code is good or bad doesn't actually matter: you can derive the headline numbers analytically, without any simulation at all [1]. (The real problem with the worst case estimate is that it assumes people don't individually change their behavior in the face of a pandemic.) A better critique of the software engineering criticism is [2]. [1] https://twitter.com/trvrb/status/1258879531022082049 [2] h…

    Comment linking /2020/05/10/why-you-can-ignore-reviews-of-scientific-code-by-commercial-software-developers/

    on “To software engineers criticizing Neil Ferguson’s epidemics simulation code”
  2. Submitted Why we can ignore reviews of scientific code by commercial software developers as a story · 25 points

    HN discussion
  3. Submitted Getting codes in different languages to interact as a story · 2 points

    HN discussion

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