John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014
O'Reilly3 HN recommenders · 2015–2025
61K views · talk · evergreen · Uploaded 2014-10-17
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.
HN recommends it as an excellent programmer-friendly explanation of p-values and statistical thinking.
19:09A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
Enthought
58:51DON'T PANIC — Hans Rosling showing the facts about population
Gapminder Foundation
12:04Why Being Delusional is a Superpower
Veritasium
6:31Why Your Vote Doesn't Count
CGP Grey
12:22Is Most Published Research Wrong?
Veritasium
27:19Once you understand game theory, you understand the world.
Veritasium
4:27The Voting System That Should Replace Every Election
CGP Grey
19:10How not to be ignorant about the world | Hans and Ola Rosling
TED
4 comments from Hacker News
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]
This is an excellent talk I attended a while ago that explains it very well from a programmer's perspective: [VIDEO]
Similar in spirit to John Rauser's 2014 Strata Conference + Hadoop World keynote "Statistics Without the Agonizing Pain" ( [VIDEO] ).
>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]