Quote from: Betwrong on December 12, 2019, 10:11:47 AM

Quote from: deisik on December 11, 2019, 09:02:41 AM

Quote from: Betwrong on December 11, 2019, 08:14:53 AM

Quote from: deisik on December 10, 2019, 10:10:47 AM

For example, we can't understand what self-awareness and consciousness as one's mind and thoughts are because we simply don't have such an ability in us. Simply put, it is not so much for the lack of knowledge as for the lack of required capacity to process and interpret this knowledge. The same may be equally true for randomness (and probably a host of other phenomena). We are like ants trying to figure out things outside an anthill

So, is there a hope? I mean, currently, it is considered that with any truly random processes absolutely anything can happen next. If you just hit 99.99 on dice it doesn't mean you won't hit the same number again in the very next roll

You likely won't hit the same number again

But why? Is it because we are likely to not roll any two numbers in a row, or is there any other reason? What, in your opinion, makes the appearance of a certain number less likely? The fact that this number was just rolled? There are various ways of generating a random number: measuring the radioactive decay of an atom; measuring the atmospheric noise; measuring other processes which can create sufficient entropy needed to generate a random number. Can you imagine a process(among those used for RNG) where the appearance of a certain number becomes less likely for the reason of its recent appearance?

Its the poisson distribution Who works this way, and its supposed to model well occurance of natural phenomena either its shooting star or number of cars passing in a street. As long as there is a meaningfull "mean" of occurrence its supposed to fit, for gambling game like dice or coins its supposed to fit, not sure if there is a Real démonstration of why it so.

There are algorithm to generate poisson distribution from uniform RNG.

https://wiki.q-researchsoftware.com/wiki/How_to_Generate_Random_Numbers:_Poisson_Distribution

Which correspond to ideal distribution you want in a fair gambling game.