
Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations
Published October 8, 2019
At a glance
Views
7,633,577
Likes
200,464
Comments
7,331
Performance vs. channel
All-time outlier score
Engagement rate
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About
A curious pattern, approximations for pi, and prime distributions. Help fund future projects: https://www.patreon.com/3blue1brown An equally valuable form of support is to simply share some of the videos. Special thanks to these supporters: http://3b1b.co/spiral-thanks Based on this Math Stack Exchange post: https://m…
- Published
- October 8, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations is doing
It has 7.63M views in total. It ranks #1,099,027 among tracked YouTube videos by views.
Key facts about Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations
- Total views
- 7.63M
- Total likes
- 200K
- Total comments
- 7.33K
- Published
- October 8, 2019
- Global rank by views
- #1,099,027
Frequently asked questions
How many views does Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations have?
Why do prime numbers make these spirals? | Dirichlet’s theorem and pi approximations has 7,633,577 views, 200,464 likes and 7,331 comments, ranking #1,099,027 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
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