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**Main Roulette Board**

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**Re: Repeaters roulette systems**

**Excellent contribution**

on Oct 29, 06:48 PM 2019 to CoderJoe

I agree with most of what Steve has written about repeater systems in his link, but it isn't necessary to test for tens of thousands of spins.

Use the

For instance, I'll take a typical hot number system as the 'Hypothesis'. Suppose the system is that you look at the last 15 spins and if there are at least 2 repeats you bet on the repeat numbers for the next 15 spins, and then stop. You've had quite good success playing this system and want to know if you've just been lucky or whether there really is a dependence going on.

You need to set up a table like this :

In this example I made up the numbers to show a dependence. The conclusion is :

Whatever your system is, the NULL hypothesis is that it doesn't work. The ALTERNATIVE hypothesis is that it does. What you're hoping for is that the NULL hypothesis is rejected, because that would suggest there is some dependence between your trigger and the results.

You can do the test online :

https://mathcracker.com/chi-square-test-of-independence. Just think about what is going to be in your table, get the data to put into the table, and the program does the rest. Use a significance level of 0.05.

Or use Excel which I'm pretty sure has this test in it.

Use the

**Chi-Square test for independence**because all repeater and hot number systems assume that outcomes are dependent. If you're confused about what dependence and independence means, do the test. You don't need many spins, a couple of hundred is plenty, then if you get a positive result (I don't mean profit, I mean a significant result from the test), then do more tests and get more data, then repeat the test.For instance, I'll take a typical hot number system as the 'Hypothesis'. Suppose the system is that you look at the last 15 spins and if there are at least 2 repeats you bet on the repeat numbers for the next 15 spins, and then stop. You've had quite good success playing this system and want to know if you've just been lucky or whether there really is a dependence going on.

You need to set up a table like this :

In this example I made up the numbers to show a dependence. The conclusion is :

Whatever your system is, the NULL hypothesis is that it doesn't work. The ALTERNATIVE hypothesis is that it does. What you're hoping for is that the NULL hypothesis is rejected, because that would suggest there is some dependence between your trigger and the results.

You can do the test online :

https://mathcracker.com/chi-square-test-of-independence. Just think about what is going to be in your table, get the data to put into the table, and the program does the rest. Use a significance level of 0.05.

Or use Excel which I'm pretty sure has this test in it.