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Thinking Through the Party

Personal blog · blog.ebemunk.comdataprogramming

Thinking Through the Party is a personal blog at blog.ebemunk.com about data and programming. Since 2016, 6 different Hacker News readers have linked it 6 times, most often “Text Mining LOST”. It is still writing: the last post was on 2026-10-25, and you can follow it by feed.

Visit the blog
6mentions?
6HN people?
2016–2025first – last linked?
Links on Hacker News per year · peak 2 in 2018

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

Why HN links it

HN readers link this post on whether chess pawns promote to rooks or bishops in real games; the one comment cites the post's topic while pushing back on another commenter's claim about queen promotions.

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.

Most-linked posts?

  1. Text Mining LOST
    2 people · 2 mentions · first linked 2018-09-01
  2. One Century of Plane Crashes
    2 people · 2 mentions · first linked 2019-08-14

What Hacker News says?

  1. > There are lots of situations where a promotion to a queen would result in stalemate You disagree with their 'rare' then where is your analysis? You gave zero numbers or evidence, you're just saying stuff that pops into your head. This analysis is a 35 to 1 for queens, knights arethe most popular alternative but I don't believe they played out the opponent resigns which most people do before the promotion to queen…

    Comment linking /visual-look-at-2-million-chess-games-part-2/

    on “Is pawn promotion to rook or bishop something that is seen in play? (2012)”
  2. Submitted A Visual Look at 2M Chess Games as a story · 59 points

    HN discussion
  3. Submitted One Century of Plane Crashes as a story · 3 points

    HN discussion
  4. Submitted Text Mining LOST as a story · 2 points

    HN discussion
  5. Submitted Centrury of Plane Crashes as a story · 1 points

    HN discussion
  6. Submitted Text Mining LOST: the script visualized as a story · 1 points

    HN discussion

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