HackerTube

THE VIDEO SHELF · bayesian reasoning

A visual guide to Bayesian thinking

Julia Galef uses pictures to explain Bayes' rule, then tells three personal stories showing how she applies it to improve her thinking.

Why HN readers recommended it

HN recommends it as a short, accessible intro to Bayesian reasoning and priors.

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

Video & recommendation details

Creator / channel
Julia Galef
Topic
bayesian reasoning
Format
talk
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
4
Recommendation years in dataset
2017–2021

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.

  • I wrote the present comment to 1) teach something about mathematics and probability 2) share enlightenment. In summary this comment should change your thinking about all subjects, forever. -------------- Program of study for this comment: 1. Read section 1 (approx. 1 hour.) Goal: improve your …

    mathzthrowaway6 on Hacker News · 2017-08
    In The Kolmogorov option
  • Note: as a throwaway I was unable to complete edits to this comment, therefore please upvote (and endorse) only this version. The first version should remain dead as a dupe. ----- In the spirit of the article we're discussing, I wrote the present comment to …

    mathzthrowaway6 on Hacker News · 2017-08
    In The Kolmogorov option
  • >You have two options, choose one: Your analysis is sensible. Where we should choose the most likely explanation, it might become sharper: - In case you're not familiar with it, one helpful tool is prior probability (Bayesian thinking). This video is short and accessible: [VIDEO] …

    thrwaway190220 on Hacker News · 2019-02
    In Google says Nest’s built-in mic not listed in specs was not meant to be secret

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