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Bo Waggoner

Personal blog · bowaggoner.com/blahgmathprogramming

Bo Waggoner writes The Tiger's Stripes, a personal blog at bowaggoner.com about math and programming. Since 2017, 4 different Hacker News readers have linked it 7 times, most often “Adversarial Binary Search (or, how to fleece Ballmer)”. The last post was in 2020, but the archive is still widely read.

Visit the blog
7mentions?
4HN people?
2017–2024first – last linked?
Links on Hacker News per year · peak 3 in 2017

Too few sampled comments (6) to say how often HN recommends it.?

Why HN links it

HN readers link Bo Waggoner's blog for theory-flavoured posts on game theory and binary search games, plus essays on computer science as a discipline and a short story about DNS resolvers.

Summarised by Claude from a sample of 6 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Adversarial Binary Search (or, how to fleece Ballmer)
    3 people · 3 mentions · first linked 2024-09-06

What Hacker News says?

  1. bowaggoner · 2021-10-04Recommends
    I enjoyed the comment. You might like my short story along the same lines from a few years ago: https://bowaggoner.com/writeups/robust.html

    Comment linking /writeups/robust.html

    on “Every device with FB app is now DDoSing recursive DNS resolvers”
  2. Submitted Adversarial Binary Search (or, how to fleece Ballmer) as a story · 5 points

    HN discussion
  3. There is a much wider generalization here which is studied under the name of "property elicitation" in computer science, machine learning, and statistics. The generic question is: Given a loss function, what "property" of the distribution minimizes average loss; and given a "property", characterize all such loss functions. For example, Bregman divergences are (essentially) all losses that "elicit" the mean of a dist…

    Comment linking /blog/series.html

    on “Modes, Medians and Means: A Unifying Perspective”
  4. I recently was researching bitcoin, blockchain, etc, and I found it surprisingly difficult to find good but relatively short resources! I synthesized what I found into some slides that you might find helpful[1]. Apologies if this seems like self-promoting my own slides -- and I should say I am not at all an expert here -- but I created them mainly because I had trouble finding a "primer", so maybe they can help othe…

    Comment linking /talks/2017/bitcoin-etc.pdf

    on “Ask HN: A good primer on cryptocurrencies?”
  5. bowaggoner · 2017-08-31Recommends
    CS as practiced today contains elements of math, engineering, and the sciences (though rarely at the same time). I have a bit on this you might find interesting: http://bowaggoner.com/whatiscomputerscience.html#medium

    Comment linking /whatiscomputerscience.html

    on “Blum: “The proof is wrong. I shall elaborate precisely what the mistake is.””
  6. A more extensive analysis of Nash equilibria including a numerical solution for the full game is presented in https://bowaggoner.com/blahg/2024/09-06-adversarial-binary-s...

    Comment linking /blahg/2024/09-06-adversarial-binary-search/

    on “The expected value of the game is positive regardless of Ballmer’s strategy”
  7. See also https://bowaggoner.com/blahg/2024/09-06-adversarial-binary-s... using the Multiplicative Weight Update algorithm ( https://www.jeremykun.com/2017/02/27/the-reasonable-effectiv... a recurring feature on HN) to compute an approximate Nash equilibrium up to n = 100.

    Comment linking /blahg/2024/09-06-adversarial-binary-search/

    on “Analysis of adversarial binary search game”

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