If lotteries weren't completely random

Reply #9

ArizonaDream — Thu, 24 Dec 2015 01:03:27 GMT

Here's an idea I had (and tried on a small scale.)

Once you have a Neural Net designed, run it on some true random data, like from random.org. In back and forward testing, the NN should perform in line with the game's calculated odds with truly random data. Now train the same NN on your lottery data and back/forward test. Does it perform the same, better or worse than it did on the known random data? If the performance differs, there's something non-random going on in that game.... [ More ]

Reply #8

Tialuvslotto — Wed, 23 Dec 2015 12:14:36 GMT

Welcome to the forum tdottolotto.

Personally, I do believe that randomness follows some law. However, I believe that the law is outside the realm of what humans can comprehend, either too simple, too complex, or too different from what we are expecting. Maybe your neural net can figure it out.

If you haven't done so already, I would recommend that you do a search for neural networks to see what members have proposed in the past. And, visit the Mathematics forum and read the current thread... [ More ]

Reply #7

ArizonaDream — Wed, 23 Dec 2015 12:08:42 GMT

I think that would be too easy to spot over time if they did so consistantly.

For the lotto games, what I sometimes wonder about, is an anti-jackpot bias that could be turned on and off. Turn it on to cause roll-overs and build interest in the game, then, once at the level they want, turn it off and let the game run normally. I think that would be very hard to spot, much less prove.

Reply #6

Ricklou — Wed, 23 Dec 2015 11:38:09 GMT

The winning numbers is not the best numbers BUT the least played numbers. Less numbers played means more profit for them and at the end of the day they run a business

Reply #5

Artist77 — Wed, 23 Dec 2015 01:34:31 GMT

Randomness is an interesting concept in many areas. People often dismiss modern abstract painting as being so simple a child could paint it. I used to do an exercise in class where I gave adult students 20-30 little plastic pieces/shapes and asked them to arrange them in a random abstract pattern. After about 30 seconds, they will look at their too quickly finished product and think...oops...I need to rearrange this...lol. Then they start to obsess over it.

Reply #4

BobP — Wed, 23 Dec 2015 00:05:14 GMT

Completely random, as random as humans can manage, random enough for a lottery, take your pick.

Neural networks need to work with numbers that represent something, are a measure of something, numbers that carry weight or value. If there is absolutely no difference between a five ball and a ten ball, there is nothing to work with. Find a way to give value to the numbers besides frequency, then maybe.

Back in the nineties there was a program called NeuroLotto that needed the original G... [ More ]

Reply #3

Luminus — Fri, 18 Dec 2015 03:26:56 GMT

It's completely random. You could test this very easily, using Excel, actually. Just play virtually and you can confirm if anyone's tampering with the results. After all, no one could know what lines you have on your computer, so they can't exclude them.

Reply #2

tdottlotto — Thu, 17 Dec 2015 20:12:19 GMT

I was thinking of the same thing too like they could choose numbers that played the least amount of times to maximize their profit but you're right that would be major corruption.

Reply #1

travelintrucker — Thu, 17 Dec 2015 20:00:17 GMT

This got me thinking about lotteries switching to RNGs to pick winning numbers. Is it really random? I wouldn't be surprised if they choose a set of numbers that isn't played in the current drawing. Of course, that is corruption.

If lotteries weren't completely random

tdottlotto — Thu, 17 Dec 2015 18:26:05 GMT

For entertaining purposes, let's assume for the moment that lotteries weren't completely random.

That they follow some sort of law.

Now for a pick 3? for the people who know about neural networks...what would be a good model to a neural network?

Right now i just got this simple of 30 inputs, 30 hidden units, 30 outputs.

I am training it as if i enter a draw as inputs, i train it to output the next draw.

30 inputs because if the result of a draw was for example 2-5-8, I would set a... [ More ]