TallGuyShortNov 2015Strongly recommends
This is an excellent talk I attended a while ago that explains it very well from a programmer's perspective: ▶ this video
in “Not Even Scientists Can Easily Explain P-values” · View on HN
John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014
John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014 on HackerTube: recommended by 3 Hacker News commenters across 3 separate months, 2015–2025.
O'Reilly
Open on YouTubetalk · intro · evergreen
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.
Why Hacker News recommends it
HN recommends it as an excellent programmer-friendly explanation of p-values and statistical thinking.
- people recommended it
- 3
- separate months
- 3
- strong recommendations
- 1
- discussed on HN
- 2015–2025
“This is an excellent talk I attended a while ago that explains it very well from a programmer's perspective”
What HN commenters said
4 Hacker News comments link this video. Each one links back to its thread.
armanboyaciMar 2025Recommends
>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 ▶ this video
in “Statistical Formulas for Programmers (2013)” · View on HN
jrauserJan 2015Recommends
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: ▶ this video
in “Twitter’s new R package for anomaly detection” · View on HN
harveywiJun 2016Cites it
Similar in spirit to John Rauser's 2014 Strata Conference + Hadoop World keynote "Statistics Without the Agonizing Pain" ( ▶ this video ).
in “Statistics for Hackers [video]” · View on HN
Topics & tags
Data science & statisticsProbability & game theoryp-valuessimulationresamplingdata sciencebootstrapping