United States Member #59354 March 13, 2008 4379 Posts Offline

Posted: July 28, 2016, 10:57 am - IP Logged

Quote: Originally posted by adobea78 on July 16, 2016

Ideal>Total combo for P3 is 1000picks, hence the ratio is 1/1000. How do you interpret this from filter perspective? Is the ratio 1/1000 constant for each draw cycle with respect to what data size? Does the ratio 1/1000 assumes each pick will be drawn within 0 to 999 cycles? Can one assume, filtering previous 999 picks can get your next str hit? That's this sound logical?.

Consider a scenario where you know the start date of pick 3 draws of a State X, if current total draws is 999,can you with certainty wage the remaining pick? Can the ratio 1/1000 be written as First/1000?

Your comments before I continue.

In simulations I have found that it sometimes takes more than 3x before every combo shows at least once.

For larger number games it's even greater. It's impossible to calculate a exact number of drawings it takes

before every possible combo shows at least once. So for a pick-3 a good estimate would be at least 3000

but could be much higher. With this in mind some lines will have a much greater hit rate than the expected

United States Member #116344 September 8, 2011 4151 Posts Offline

Posted: July 28, 2016, 9:27 pm - IP Logged

Quote: Originally posted by RL-RANDOMLOGIC on July 28, 2016

In simulations I have found that it sometimes takes more than 3x before every combo shows at least once.

For larger number games it's even greater. It's impossible to calculate a exact number of drawings it takes

before every possible combo shows at least once. So for a pick-3 a good estimate would be at least 3000

but could be much higher. With this in mind some lines will have a much greater hit rate than the expected

1 in 1000.

RL

Is all about ' The State of POOL'. The prior picks does not tell you much about 1/1000, knowing the state of current pool does. With a every draw, the assumption of prior pool is 0123456789, eg, say my current draw is 123, the state of my current pool will be 8057916423, this will establish my prior pick of the ratio 1/1000.

Madison, WI United States Member #172977 February 11, 2016 515 Posts Offline

Posted: July 29, 2016, 1:21 pm - IP Logged

Quote: Originally posted by adobea78 on July 28, 2016

Is all about ' The State of POOL'. The prior picks does not tell you much about 1/1000, knowing the state of current pool does. With a every draw, the assumption of prior pool is 0123456789, eg, say my current draw is 123, the state of my current pool will be 8057916423, this will establish my prior pick of the ratio 1/1000.

Are you able to explain how you get to the "current pool" above, and how you use that order of digits to establish your pick ratio??

United States Member #116344 September 8, 2011 4151 Posts Offline

Posted: July 29, 2016, 2:56 pm - IP Logged

Quote: Originally posted by Wisconsin3054 on July 29, 2016

Are you able to explain how you get to the "current pool" above, and how you use that order of digits to establish your pick ratio??

Probability for any parameter is not ' edge in stone', before you flip a coin, the assumed ratio is 50/50. This ratio has not been tested, but is deemed a fact. The question is, does this ratio remains constant for 10, 20,30,40.....N flips? What's PRIOR ratio of say a tail before the next flip(note that assumed ratio is deemed to be constant for each unique flip)?. You can have two graphs of flips of similar distribution, but the ratios of H and T will change. P3 has assumed ratio(has not been tested) of 1/1000 for every draw, how is this ratio related to pool members 0123456789? Prior State of the POOL is the only option to keep the ratio 1/1000 constant. Analyzing 20,50,500, 1000 draws will not help much, unless your know the 'prior odd' of a parameter, this is not easy task in a random setting!

Lets illustrate the above with GA-3 (eve draws)

NB> every draw is unique, hence the STATE of digits of the pool(the size remains constant)

Observation>see the current states of just 3 draws for hits 296-219-973-479, lets take each state at time.

For the 10 digits, the assumed ratio is 1/10, so we assume every digit a lead from left to right for next predictions. 9437 can be in format 4C_{3} for 4 picks (hits 973-479) or 4C_{2 +remaining digits({9,4} {9,3} {9,7} {4,3} {4,7} {3,7}> front 97,47,37 as hits.}

United States Member #116344 September 8, 2011 4151 Posts Offline

Posted: July 29, 2016, 3:35 pm - IP Logged

Quote: Originally posted by adobea78 on July 29, 2016

Probability for any parameter is not ' edge in stone', before you flip a coin, the assumed ratio is 50/50. This ratio has not been tested, but is deemed a fact. The question is, does this ratio remains constant for 10, 20,30,40.....N flips? What's PRIOR ratio of say a tail before the next flip(note that assumed ratio is deemed to be constant for each unique flip)?. You can have two graphs of flips of similar distribution, but the ratios of H and T will change. P3 has assumed ratio(has not been tested) of 1/1000 for every draw, how is this ratio related to pool members 0123456789? Prior State of the POOL is the only option to keep the ratio 1/1000 constant. Analyzing 20,50,500, 1000 draws will not help much, unless your know the 'prior odd' of a parameter, this is not easy task in a random setting!

Lets illustrate the above with GA-3 (eve draws)

NB> every draw is unique, hence the STATE of digits of the pool(the size remains constant)

Observation>see the current states of just 3 draws for hits 296-219-973-479, lets take each state at time.

For the 10 digits, the assumed ratio is 1/10, so we assume every digit a lead from left to right for next predictions. 9437 can be in format 4C_{3} for 4 picks (hits 973-479) or 4C_{2 +remaining digits({9,4} {9,3} {9,7} {4,3} {4,7} {3,7}> front 97,47,37 as hits.}

observation> A triad of first four digits or 24 way quads get you a str hits > 0160-9328-9379-4937-0937-3921. Is about about current phase of the pool.Find a parameter to simulate the pool, good luck.

Madison, WI United States Member #172977 February 11, 2016 515 Posts Offline

Posted: July 29, 2016, 7:42 pm - IP Logged

Quote: Originally posted by Sunglasses on July 29, 2016

You don't play each draw. 1:1000 is the average of something.

But, effectively, there is a way to win average with a fair payout, playing every time.

I believe odds expression is 1:999, being 1 potential positive result against 999 potential negative results, with each result having the same chance of occurring.

You may not play every draw, but every draw you do play still has the same odds with one play, 1:999.

United States Member #116344 September 8, 2011 4151 Posts Offline

Posted: July 29, 2016, 8:08 pm - IP Logged

The ratio 1/1000 refers to discrete values, and is constant per each draw. Average of something refers to central tendency of a selected parameter. Now the parameter in question here is a 'triad'(discrete value) of statistical combinatorial of 10 digits where 3 is selected at a time. The assumption is every triad has chance of coming within 1 to 1000 draws--this is not always true, because 1/1000 is assumed prior ratio yet to be tested. The problem is, in analyzing a data, the prior ratio of parameter in question is hard to calculate.