BBC - The Code - The Wisdom of the Crowd
timb61 HN recommender · recommended in 1 month, 2013–2016
explainer · general · evergreen · 2013–2016 on HN
Marcus du Sautoy of the BBC demonstrates the wisdom of the crowd, showing that averaging many guesses of jelly beans in a jar lands near the true count.
Used as a quick, convincing demonstration of crowd estimation when discussing aggregated judgment.
Up next
9 mo on HNWhy Being Delusional is a Superpower
Veritasium
9 HN recommender · 2020–2024
10 mo on HNWhy Your Vote Doesn't Count
CGP Grey
10 HN recommender · 2015–2025
8 mo on HNOnce you understand game theory, you understand the world.
Veritasium
10 HN recommender · 2023–2026
7 mo on HNThe Voting System That Should Replace Every Election
CGP Grey
7 HN recommender · 2012–2021
5 mo on HNgolden balls. the weirdest split or steal ever!
spinout3
5 HN recommender · 2012–2025
5 mo on HNHow lucky is too lucky?: The Minecraft Speedrunning Dream Controversy Explained
Stand-up Maths
5 HN recommender · 2021–2025
4 mo on HNAnimated Voting Methods
Unify The Vote
3 HN recommender · 2018–2022
4 mo on HNThe medical test paradox, and redesigning Bayes' rule
3Blue1Brown
4 HN recommender · 2020–2025
4 mo on HNIs AI Safety a Pascal's Mugging?
Robert Miles AI Safety
3 HN recommender · 2019–2026
4 mo on HNHow our voting system (and IRV) betrays your favourite candidate
The Center for Election Science
5 HN recommender · 2014–2023
3 mo on HN2. Behavioral Evolution
Stanford
3 HN recommender · 2016–2021
3 mo on HNWhy do competitors open their stores next to one another? - Jac de Haan
TED-Ed
3 HN recommender · 2015–2025
3 comments from Hacker News
This is brilliant and immediately reminded me of "wisdom of the crowd" ▶ this video (start at 2:00 if TLDW). Basically average crowd > individuals. 160 people guess # of jelly beans in a jar. Few are close, but averaging all the guesses leads to 4 away from actual. Would be fascinating if applied to this as well...
There are plenty of services that offer interview prep advice and numerous independent consulting services in feedback. These don't scale and not what I want to do. I'm doing more research and think there is something to "collective intelligence" or wisdom of the crowd. I'm not going to argue if a crowd is wise or not, but data show that the crowd gets it right within a fraction of the right answer. What I'm proposing is a type of feedback, but one that can scale globally. The crowd should be able to predict closely what a person is like to work with, or so I think. This addresses the extreme cases we've discussed on the thread here. I'm still researching this - can crowds predict with the same accuracy as it is at arriving at an already known answer like how many jelly beans are in a jar etc. Here is some examples of what I'm talking about: ▶ this video link link
While I agree with your critique about headline but "pessimistic" is wrong word as well. Question about wind and solar energy indicates that they are optimistic. People are simply wrong quite often. Here is "related" video about wisdom of crowd: ▶ this video I wonder if we could apply idea of "wisdom of crowd" to those quiz questions.