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THE VIDEO SHELF · statistics for programmers

John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014

John Rauser's Strata 2014 keynote argues that programmers can learn statistics quickly by simulating random processes and shuffling data. He explains p-values through resampling rather than formulas.

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Why HN readers recommended it

HN recommends it as an excellent programmer-friendly explanation of p-values and statistical thinking.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
O'Reilly
Topic
statistics for programmers
Format
talk
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
4
Recommendation years in dataset
2015–2025

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • This is an excellent talk I attended a while ago that explains it very well from a programmer's perspective: [VIDEO]

    TallGuyShort on Hacker News · 2015-11
    In Not Even Scientists Can Easily Explain P-values

  • I have a talk in which I argue that if you can program, you have a huge advantage in learning statistics because you can simulate random processes and tinker with them to get an intuitive sense of the statistics involved. At Data Driven NYC: [LINK] …

    jrauser on Hacker News · 2015-01
    In Twitter’s new R package for anomaly detection

  • >Being able to apply statistics is like having a secret superpower. I totally with this sentence. BUT If you ask for my opinion, merely knowing a list of statistical formulas is not very helpful. Most of the time, people don’t remember the underlying assumptions, so …

    armanboyaci on Hacker News · 2025-03
    In Statistical Formulas for Programmers (2013)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

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