HackerTube.dev

Bayes theorem, the geometry of changing beliefs

3Blue1Brown · 6M views · 2019-12-22 · 15:11

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

3Blue1Brown presents Bayes' theorem through a geometric diagram, showing how evidence should update beliefs. It works through the Kahneman and Tversky style questions and base rates.

On Hacker News

HN people recommend it as the most intuitive introduction to Bayes' theorem and cite it in base-rate arguments.

Recommended by 2 HN people across 2 months · HN mentions 2022–2024

Topics

Search by tags

What people said

godelski · 2024-07 · Strong recommendation

Probably, but more likely a lack of knowledge and an overestimation of their knowledge. People are famously bad with statistics but people are also famously over confident in their understanding of numbers and data. I mean cloud servers really try to get some extra 9s on the end of their uptime. (People are also __terrible__ with rates of change. e.g. 90% increase as from last year). But I think an interesting one is the also literally the most common example that's in many stats textbooks, at least the ones that cover Bayesian stats. That being that if a test is 95% accurate, that it does not mean that that scoring positive on a test means that there's a 95% chance you have whatever the test is testing for. I think there's a great irony in the latter, as I find in the tech and engineering communities a lot of confidence, especially in understanding numbers yet very often make this mistake[0], and frequently want to establish meritocracies (advocating for standardized testing and leet code). But understanding the former should result in thinking the latter is ineffective.[1] -------------------------------- [0] I particularly like 3Blue1Brown's introduction to Bayes theorem as it includes the Kahneman and Tversky questions AND (most importantly) he discusses how when the questions are reframed that peoples accuracy can dramatically swing from overwhelmingly wrong to overwhelmingly correct. I like this because the hardest thing in doing statistics (and much of science) is actu

Read the original HN comment ↗
logshipper · 2022-01 · Recommendation

There's a very cool 3Blue1Brown video [0] that helps give you an intuitive feel for Bayes Theorem. [0] [VIDEO]

Read the original HN comment ↗
ernst_klim · 2024-04 · Reference

> This metric is also a proxy for living in a violent environment. Probably, probably not. The probabilities of witnessing someone being shot is extremely low in both environments. If amount of people who are living in violent environment is much lower, it may be that a person who witnessed someone being shot is more probable from a good environment. [LINK] [VIDEO]

Read the original HN comment ↗

Sources

Video by 3Blue1Brown, 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: Topic keywords do not match
  • 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