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THE VIDEO SHELF · game theory

Why do competitors open their stores next to one another? - Jac de Haan

A short animated TED-Ed lesson in which two competing ice cream vendors on a beach illustrate why rival shops cluster together. It introduces game theory and the Nash equilibrium through the Hotelling model.

Why HN readers recommended it

HN people use it as a clear, quick explanation of Nash equilibrium and why competitors cluster.

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

Video & recommendation details

Creator / channel
TED-Ed
Topic
game theory
Format
explainer
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
6
Recommendation years in dataset
2015–2025

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've only had a cursory introduction to Nash's work through brief flirtations with game theory, but this is the best explanation i've found so far on Nash's Equilibrium which i still remember vividly for highlighting why a "Socially Optimal Solution" is pretty rare in real …

    Litost on Hacker News · 2015-05
    In John and Alicia Nash, 1928,1933-2015
  • Setting up shop directly next to your competitor is the best choice, i.e., Nash equilibrium. That's why all the gas stations and coffee shops cluster up instead of spreading out. For example, on a beach, you should expect 2 ice cream vendors to cluster in …

    tantalor on Hacker News · 2016-05
    In A Renegade Muscles in on Mister Softee’s Turf
  • extrapolating a small sample size will probably produce unreliable results. also its possible that there are 3 sushi restaurants on the same street because of the Hotelling model of spatial location (good vid explaining that: [VIDEO] )

    asdf9240 on Hacker News · 2019-07
    In How is China able to provide enough food to feed over 1B people?

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

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