Share your experiences and thoughts when trying to improve accuracy in effecting a Random Number Generator (RNG) using METrainer or other programs.
I’ve been practising with METrainer over the past months, in this thread I would like to start presenting my progress with METrainer and am very interested in seeing other people’s progress.
Maybe we can share some tips with each other.
Wednesday 7-10-2020 - Saturday 10-10-2020 METrainer V1.0:
| Type | Settings | Mode | Total Rounds | Hit Rate | ME Level | P(HR) | Win HR | P(WinHR) |
|---|---|---|---|---|---|---|---|---|
| PCQNG | No settings | Affect | 107 | 0.5701 | 5.1 | 0.087 | - | |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 30 | 0.7667 | 7.4 | 0.00261 | 0.7073 | 0.00575 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect | 127 | 0.6220 | 9.4 | 0.00376 | 0.6098 | 0.10551 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 150 | 0.56 | 3.6 | 0.08245 | 0.5366 | 0.37761 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect | 23 | 0.7826 | 6.2 | 0.00531 | 0.6585 | 0.02979 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect | 50 | 0.72 | 9.6 | 0.0013 | 0.7317 | 0.00216 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect | 237 | 0.5907 | 8.3 (highest 12.2) | 0.00312 | 0.6585 | 0.02979 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect | 1000 | 0.4690 | 1.0 | 0.97685 | 0.3902 | 0.94136 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect Low | 114 | 0.3684 | 1.0 | 0.99825 | 0.4634 | 0.73365 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 136 | 0.5882 | 8.9 (total: 12.2) | 0.02409 | 0.7317 | 0.00216 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 100 | 0.51 | 1.1 | 0.46021 | 0.4634 | 0.73365 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 255 | 0.6 | 10.2 | 0.00084 | 0.5854 | 0.17444 |
| MED300K | No Settings | Affect | 100 | 0.6 | 5.4 (total 10.4) | 0.02844 | 0.6098 | 0.10551 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 500 | 0.492 | 1.0 (highest 12.2) | 0.65632 | 0.3902 | 0.94136 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 82 | 0.6220 | 5.8 (highest 10.4) | 0.01762 | 0.5122 | 0.5 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 200 | 0.5 | 1.0 | 0.52817 | 0.4634 | 0.73365 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 113 | 0.5487 | 2.5 | 0.17345 | 0.4390 | 0.82556 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 70 | 0.5571 | 2.3 | 0.20148 | 0.4634 | 0.73365 |
| MED300K | Hide Miss ball & mute miss sounds | Affect | 116 | 0.5571 | 2.7 | 0.15354 | 0.5122 | 0.5 |
| MED300K | Hide Miss ball & mute miss sounds | Predict | 112 | 0.6250 | 7.6 (total 9.7) | 0.0052 | 0.6585 | 0.02979 |
| PRNG | Hide Miss ball & mute miss sounds | Predict | 70 | 0.6 | 4.1 | 0.005980 | 0.5610 | 0.26635 |
| PCQNG | Hide Miss ball & mute miss sounds | Predict | 136 | 0.5809 | 4.8 | 0.03568 | 0.4878 | 0.62239 |
| PCQNG | Hide Miss ball & mute miss sounds | Predict | 190 | 0.5579 | 4.0 (highest 7.4) | 0.06371 | 0.5122 | 0.5 |
| PCQNG | Hide Miss ball & mute miss sounds | Predict | 60 | 0.55 | 1.9 | 0.25948 | 0.4878 | 0.62239 |
| PCQNG | Hide Miss ball & mute miss sounds | Predict | 85 | 0.6 | 4.6 | 0.04103 | 0.5366 | 0.37761 |
| PCQNG | Hide Miss ball & mute miss sounds | Affect | 65 | 0.6 | 3.9 (highest 8.5) | 0.06802 | 0.5366 | 0.37761 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 161 | 0.5342 | 2.2 | 0.21536 | 0.4146 | 0.89449 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 80 | 0.6125 | 5.1 (highest 6.5) | 0.02833 | 0.6341 | 0.05864 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 125 | 0.5760 | 4.2 (highest 10.4) | 0.05352 | 0.6341 | 0.05864 |
| PRNG | Hide Miss ball & mute miss sounds | Affect | 435 | 0.5218 | 2.4 (highest 10.4) | 0.19407 | 0.3415 | 0.98623 |
| MED300K | No Settings | Affect | 221 | 0.5339 | 2.5 | 0.17317 | 0.4878 | 0.62239 |
| MED300K | Hide Miss Ball & mute miss sounds | Affect | 146 | 0.5479 | 2.8 | 0.14097 | 0.4146 | 0.89449 |
| MED300K | Hide Miss Ball & mute miss sounds | Affect | 100 | 0.61 | 5.8 (highest 8.4) | 0.01760 | 0.5366 | 0.37761 |
Extra notes:
- My personal experience is that even though I’ve practiced affecting the RNG since March/April 2020, I don’t have an idea of what I’m actually doing other than just an idea of pushing pulling when affecting, clicking whenever needed for predict
- I only note down the end results of ones that I don’t forget and that are mostly a success, of course there’s a also some failures where I can’t get the ball to spin forward. So results are a bit biased towards good runs
- The settings Hide Miss ball & mute miss sounds feel like crutches and I’m hesitant on leaving them on. I’m almost unable to get an effect size to show up when these settings are in their normal state which is very frustrating.
- MED300K seems to be the hardest of the three locally. Jamal has pointed out that this might be because of latency, since I was playing for a couple of months on his computer remotely on another continent and I’m used to playing with the MED300k with this latency
- Somethimes I get really drowsy after a while and need to sleep for a minute or almost fall asleep
- Getting 8+ hits in a row is my new drug
- Its hard to believe but I have expierenced the effects in the daily life like the program said. I’ve gained intiution
- My goal is to become a good operator with a consistent hit rate of 90% to 100% on any RNG
Hi David, thanks for compiling and sharing your results.
The various options for feedback are intended to give the user more control of his or her personal experience to achieve the best results. There are no right or wrong or preferred settings for training/testing purposes.
You may ask Jamal to clear up the identity of the model number MED300K since that is not a type I sent him. I recently provided a complete list of Model numbers and their descriptions on this forum since I heard there was understandably some confusion.
Last year i made an experiment doing everyday training on psi-trainer using PCQNG as an entropy source. Sum of training data for month showed increase in deviation change rate in the second half of the training.
Peaks are calculated as a difference between accumulated deviation in current and previous batch of trials.