Hi, my name is Arthur. I'm an independent researcher from Kyiv.
I’ve developed an algorithm capable of detecting nonlinear and non-random patterns in binary sequences with high statistical significance.
After successful simulation testing (average return: +5.1%), the algorithm was manually tested on a real dataset of 7,800 binary outcomes collected from various live roulette streams, specifically to eliminate the influence of pseudo-random number generators.
Hi, my name is Arthur. I'm an independent researcher from Kyiv.
I’ve developed an algorithm capable of detecting nonlinear and non-random patterns in binary sequences with high statistical significance.
After successful simulation testing (average return: +5.1%), the algorithm was manually tested on a real dataset of 7,800 binary outcomes collected from various live roulette streams, specifically to eliminate the influence of pseudo-random number generators.
Key results:
- Total predictions: 3,256
- Correct predictions: 1,819
- Accuracy: 55.87%
- Deviation above random expectation: +392
- Average gain per prediction: +0.1203
- 95% confidence interval: [+0.1071, +0.1336]
- p-value < 0.00001 (statistically significant)
Breakdown across 52 blocks:
14, 16, 7, -9, 2, 23, 13, 5, 12, 11, 29, 9, 10, 3, -4, 16, -13, 13, 16, -2, -8, 3, 2, 15, 12, 6, 12, 16, -8, 6, 8, 16, 13, 9, -5, 14, 19, -3, 11, -1, 12, 8, 5, 17, -4, 15, 4, 3, 5, 4, 10, 6
The core question I’m raising is this:
If the result is not random — and there truly is a pattern — could something useful be extracted from it?