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3800 spins should be enough to spot a truly biased wheel.

Started by YakHairSandwich, February 05, 2011, 03:38:27 AM

0 Members and 3 Guests are viewing this topic.

YakHairSandwich

If I clock 3800 spins at a casino, that should, in theory be enough to find a biased wheel.

Each number should come up 100 times on average, and if I one number comes up 120 times or more, then I would consider that a good bet.   

Especially if the numbers on both sides of it or around it are coming up more than they should.

Anyone have any input to this idea?

I'm clocking one wheel right now that is within two miles from my house, so hopefully it ends up worth my time!

darrynf

im not an expert on bias wheels, to be honest i dont see why you have to do that many spins.

i keep an eye on sectors (to be honest i need to do more tests) and i think with 4 sectors you can find a bias wheel in 100 spins.

if a sector hits nearly 50% of the time out of 100 spins then i would think its bias.

i could be totally wrong but i really think my system will spot a bias wheel sooner.

I could tell you my system if you like, its up to you.
or give me 100 numbers from this table and i will show you if i think its bias, though my system dosent do it on numbers but sections, so you are always betting 9 or 10 numbers

I have cookies

1) Defect spotting is an option before collecting data - this way a person does not waste her or hes time collecting data with out any indication there is a potential for bias.

2) It exist a way to collect data and measuring them using a specific method to determine if you find a true bias or a random fluctuation - with out defect spotting.

No matter 1 or 2 so will 800 to 1000 indicate if you are or not wasting your time with a particular wheel.
And if you get a indication then you have to determine how strong the bias is and if its due to random fluctuation or not.
1 wheel in 100 will cut it to be valid regarding the COR but again you also have to verify is not due to fluctuation.


Cheers

darrynf

can you perhaps give some examples cookies ?

i think i know what you mean but im not sure, in one of my tests sectorA came up 50% out of 30 spins (might be higher out of 100 spins) but do you think its possible to tell a bias sector in 30 spins ?

or even in 100 spins ?

if a sector hits 50% of the time then it got to be bias in my opinoin but i could be wrong.

it dosent look so random with a percentage (though its still random).

any thoughts cookies

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darrynf

Quote from: I have cookies on February 17, 2011, 04:12:28 AM
The absolut minimum would be around 4500 to 5000.


couldnt you lower it down for sections and not numbers

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Quote
couldn't you lower it down for sections and not numbers

Sector is better then to pin point out numbers all over the wheel - does numbers need a stronger STD become valid - then if you deal with Sectors - that is to make a long story short ...

I have three folders on my computer - two is of limits to the public arena - but i have one folder where i pin point out some public posts that can help you in a way to give you some kind of inspiration towards opportunities.

I will take a look and see if i can find some free no limits material for you.

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Here is a hint to start with ...

You can go to Laurance Scotts open roulette forum and search for a particular post "weird dealer signature" i assume you try or want to find something similar towards that.

Then it comes towards other things how to measuring and get significant statistical values - i suggest you ask Laurance at hes forum to get some insight or use the search function.

One thing do if you would use a method that i mention above then its important to learn that you should use a frequency of attacks with local attractors - but for now i assume you are at a state where you want to learn basics first.

Good Luck


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Quote from: darrynf on February 17, 2011, 04:36:44 PM
maybe

Many believe in easy money and bias and VB is not easy - it takes time and skills - if you want to find a complete playing modell like a roulette system you should forget about bias and ballistics - because no one would post a public playing model or give away hard work - there is a reason why the AP keep it for them self and only pass over knowledge to does they know they can trust.

darrynf

thats true mate, i thought you didnt have to spend that much time to find bias wheels, i think i will keep to my original system that has won 15 sessions from 16 sessions.

its not one im willing to depart not because i came up with but because it cant really be taught, its a little random anyway cheers for that info cookies but i dont have that time to spend to look for a bias wheel.

toby

The best way to spot biased wheels is to check for standard deviations.

3SD on 3800 trials on a sector is a nice data. Better have 4sd.

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Quote from: toby on February 23, 2011, 09:53:32 AM
The best way to spot biased wheels is to check for standard deviations.

3SD on 3800 trials on a sector is a nice data. Better have 4sd.

That is not true and no wounder so many end up in a trap ( pseudo STD ) is what you can call that as you don't have a clue if its due to random fluctuation or actually is a bias.
Other name for it is ( false positive ) and means that some one has to verify if a 3 or 4 STD is a ( actually STD ).
That is the math and probability you deal with regarding bias ( if some one not use defect spotting ).

Kelly

It all depends. If you have visually spotted a bias and a 3 SD kicks out in that area, there are reason to believe that there could be something going on. But of course no one would just collect numbers if they hadn`t spotted a bias first.

Or would they.........?

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Quote from: Kelly on February 23, 2011, 01:36:12 PM
It all depends. If you have visually spotted a bias and a 3 SD kicks out in that area, there are reason to believe that there could be something going on. But of course no one would just collect numbers if they hadn`t spotted a bias first.

Or would they.........?

Yes you can collect data with out a visual defect spotting and verify if there is a bias and not a false positive.
But I assume its xxxxx and xxxxxxxx to tell - not me.


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