HackerTube.dev

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

O'Reilly · 60.7K views · 2014-10-17 · 11:48

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

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.

On Hacker News

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

Recommended by 3 HN people across 3 months · HN mentions 2015–2025

Topics

Data science & statisticsProbability & game theory
Search by tags
p-valuessimulationresamplingdata sciencebootstrapping

What people said

TallGuyShort · 2015-11 · Strong recommendation

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

Read the original HN comment ↗
armanboyaci · 2025-03 · Recommendation

>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 there is a fair chance they will use them in inappropriate situations. I recommend watching these two YouTube videos. The presenters advocate using simulation/bootstrapping/shuffling methods instead of memorizing formulas. Jake Vanderplas - Statistics for Hackers [LINK] John Rauser - Statistics Without the Agonizing Pain [VIDEO]

Read the original HN comment ↗
jrauser · 2015-01 · Recommendation

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] Keynote at Strata+Hadoop World 2014: [VIDEO]

Read the original HN comment ↗

Sources

Video by O'Reilly, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Matches the configured criteria
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources