HackerTube.dev

Randomness is Random - Numberphile

Numberphile · 893.1K views · 2018-12-18 · 13:31

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

Numberphile with Simon Pampena on how humans misunderstand randomness, including coin-flip sequences, run lengths and the gambler's fallacy.

On Hacker News

Recommended as an accessible demonstration that people are bad at producing or judging random sequences.

Recommended by 4 HN people across 4 months · HN mentions 2019–2022

Topics

Search by tags

What people said

throwamon · 2022-02 · Recommendation

This may indirectly answer your question: [VIDEO] TLDW: We don't pick numbers at random. At all. We're so bad at it that you can make money off this fact.

Read the original HN comment ↗
wruza · 2019-09 · Recommendation

Oh, I remember good old fallout 1-2 when you have 42% hit chance but still miss 7 times in a row. There is also a good Numberphile video on what we think random really is (it is not) [VIDEO]

Read the original HN comment ↗
codesushi42 · 2019-06 · Recommendation

I would argue that the problem with frequentist statistics is that it aligns with humans' flawed intuition of how randomness works. People are inherently obsessed with finding patterns to support their hypotheses. The problem is that what we perceive as random and extremely unlikely events are in fact much more probable than what we estimate from using Gaussian methods. And the frequentist approach helps to create this distortion by ignoring black swans. Here's a great video demonstrating how people tend to misunderstand randomness: [VIDEO]

Read the original HN comment ↗

Sources

Video by Numberphile, 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