For anyone who doesn’t read the article, the biases shown in the thumbnail are not the final result. After doing a million runs, every digit had close to the same probability of appearing.
this post was submitted on 02 Jul 2024
22 points (100.0% liked)
Tech
412 readers
27 users here now
A community for high quality news and discussion around technological advancements and changes
Things that fit:
- New tech releases
- Major tech changes
- Major milestones for tech
- Major tech news such as data breaches, discontinuation
Things that don't fit
- Minor app updates
- Government legislation
- Company news
- Opinion pieces
founded 6 months ago
MODERATORS
Love it! He had an assumption, created a method of testing that assumption, tried it multiple times, was proven wrong and accepted it.
Now, if more people could operate this way...
Pretty cool to show that sample size matters a lot during testing...
Sample size = 10: "There's 20% 8! WTF, should be 10%"
Sample size = 10k+: "Oh wait nevermind"
I find it more interesting to count series of the same number, and some autocorrelation. But since there's a code sample I may try to plot that myself later