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Integrity
Concerned about certain security, safety, and fairness issues with online poker? Sams Poker is sensitive to poker room integrity and takes every measure possible to ensure the highest level of security so that you can maximize your gaming experience with a true sense of comfort and trust.
We try to provide peace of mind by encouraging you to understand the issues associated with online gambling. And we always take the time to address your concerns and provide you with answers to any questions you may have.
Collusion
What is collusion?
Collusion is when two or more players on the same table work together as a team, unfairly knowing each other's cards, and betting with this knowledge in order to maximize their team's profits.
How do we keep track of it?
Collusion is easier to detect online using tools developed to review play history and suspicious activities over time. Sams Poker uses sophisticated algorithms to identify, track and uncover collusion, which although not foolproof, actually allows for more control over collusion that any real-world card room has.
Our analyses include:
Automatic tracking of betting patterns related to the strength of a player's hand.
Cross-correlating those results with other players at the same table to determine if they may be acting in concert with one another.
Hand history recap emails are instantly available for all players and will show the exact betting of each game and the final hands of all players who called on the river card.
Hand histories will obviously not display any cards of players that folded since that would violate the integrity of any poker game.
All reports of Collusion are investigated fully by management, with suspicious players being observed closely and shut down immediately there is proof of wrongdoing.
Collusion destroys the integrity of any poker game. Any players that attempt to collude will be banned from Sams Poker and their names will be placed on an industry-wide list to alert other casinos of their inappropriate behavior.
Shuffling
To guarantee the fairest in play, a shuffling algorithm is applied to ensure that a truly random deck is used. Our sort shuffle is based on using a random number generator that generates 2^32 different values pulled from a 4096-bit entropy pool. This is different to the Knuth shuffle used by some other systems, and it has some advantages.
Here is an example of how the shuffling algorithm works.
We assign a random value to each card, as follows:
Ace clubs = 289384521
2 clubs = 1543421228
3 clubs = 410684245
Jack spades = 306557875
Queen spades = 1382797013
King spades = 1886740576
Then we sort the cards by their unique index value. This results in an ordering like this:
Ace clubs = 289384521
Jack spades = 306557875
3 clubs = 410684245
Queen spades = 1382797013
2 clubs = 1543421228
King spades = 1886740576
Our method of shuffling eliminates the problem that a single pass Knuth shuffle has involving the modulo bias. It's possible to mitigate the effects of this by using a multi-pass Knuth shuffle, but there's no reason to do that when you can use a superior algorithm.
Some interesting numbers:
A deck of cards can have roughly 8x10^67 permutations. This number can be determined simply fairly easily. The first card dealt can be any one of 52 cards. The second card can be one of any of the remaining 51 cards. At this point there are 51x52 different permutations. The third card can be any of the remaining 50, so to find the number of possible shuffled decks you calculate 52x51x50x49 ... 3x2x1 which results in approximately 8x10^67 different combinations.
Given a true random data source, the initial permutation available using our shuffle method is (2^32)^52. This is roughly 8x10^500. Since we use a 4096-bit entropy pool, this means we are pulling our numbers from any one of 2^4096 different possibilities, which is significantly larger than the possible number of combinations we use. This means that there are 10^433 different ways that we can generate data to get any given random deck.
For comparison, it is 10^382 times more likely that one could randomly choose the same molecule of water from the ocean twice in a row than it is that we would ever generate the same set of values to create a shuffled deck from.
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