Explanation in simple language:
Computers don’t pick cards by themselves, it takes man-made software to pick the cards. Therefore the software can be altered by the software tech, to deliver the cards, he or she wants. The systems to pick cards is called RNG (Random Number Generator).

Plus more: To move the cards from the RNG to the tables, require more man-made software. By hacking or programming into the software the following simple open “if” “then” “else” statement would make the on duty staff tech in control of cards and wealth. Also with the ability to program, or hack, the event can be camouflaged within the computer’s logs so it cannot be discovered.

STATEMENT;
{
$input-from-computer-tech-on-duty = /enter table number;
$input_from_F10_key = /enter what card is required to complete your hand;
if $card from RNG equals $inputfromF10key;
then “sent to the table at $input-from-computer-tech-on-duty;”
else “delete and draw another card from the RNG”;
}
END;

Following, another prime example of card tampering. By playing on site, your IP address is submitted to the server. If any slight problems arise between player and site. The site can blackball the player and just deliver the lower end cards to the player. After not receiving playable cards to play, the player is soon eliminated because of the increasing blinds. Below is somewhat of an illustration of this happening.

Background of games played;
Between two players, playing 10 separate 90 player’s tournaments for money from the same IP address, which is recorded by the popular poker site.
Total number of single cards received as “pocket cards” from the server during the 20 games of the tournaments = 2236 single cards.
Following in rank, is the percentage of each individual card received.
2 = 229 times 10.27% of the total
7 = 192 times 8.58% of the total
8 = 184 times 8.24% of the total
Q = 180 times 8.07% of the total
T = 174 times 7.78% of the total
K = 168 times 7.51% of the total
5 = 167 times 7.46% of the total
6 = 166 times 7.42% of the total
A = 165 times 7.37% of the total
3 = 163 times 7.28% of the total
4 = 161 times 7.20% of the total
J = 146 times 6.52% of the total
9 = 141 times 6.30% of the total

The average percentage is 100%/13 cards (1 suit) = 7.69%

Question, if the RNG is as random as advertised, then why not a more even percentage?

It my opinion Queens where received at a higher rate than considered normal, but Queens don’t beat Kings and Aces. In fact this could be a trap. The higher cards (Aces, Kings) where delivered to the accomplices or BOT of the tech at a workstation.

The on duty staff tech sitting at his or her workstation, can download a BOT (poker playing robot software) from the Internet, enter it into an on site poker game. And by sitting at the workstation, using a hand held device like a Blackberry, controlling the BOT. The tech can supply the cards to BOT, the BOT plays the hand, making several times more money than his or her salary each day.

Another options; By downloading 700 BOTs from the Internet, one could setup 100 tables with 7 BOTs per table, with two seats open for alive cash poker playing customers. By using “Cold Decks” (http://en.wikipedia.org/wiki/Cold_deck) the two cash customers at each table, could be cleaned out in quick fashion.

As long as man-made software is used to make or deliver playing cards for poker games, there is a strong opportunity for workers within the site to change, hack or program the software to suit their own needs. This is done without public or company knowledge. Plus, this can also be done “out of sight.”

If an online poker player losses a poker pot or hand, will only consider having bad luck. And does not realize, the hand could have been manufactured back stage for the player. A perfect crime.

With the availability of OCR, (optical character recognition) which is the backbone for the BOTs. BOTs are becoming quite popular. There appears there is no real dangers , playing against BOTs. Some play real good and will even bluff. It would not be surprising to find in a 9 handed game, 7
are BOTs and 2 are real alive players.

The next step that is now in the making, software to be able to read your opponent’s pocket cards. The champion poker player today, is not from the old west saloon type days and a deck of Bee cards, but who can make the best software.

My question which I’m looking for an answer too. What are you doing or how are you protecting the poker public from these inevitable criminal activities within the online poker sites?
You can’t beat a real deck of cards and real players.

they have always been slow.

Also, and this was a tip a KAP Poker League Member told me…

click the ‘Show Registering’ tab in the tournament lobby. This will only refresh the registering tournaments and not every tournament in progress. This really seemed to speed up my bodog software.

That leads to my current problem with Bodog. Their software is the best IMO, but it really bogs down in a MAJOR way. My wifi just can’t handle it (I had few problems with the previous connection I used before I moved). I’m constantly being disconnected and have gaps in almost every single hand. I rarely play there these days because it’s too frustrating with my current set-up. I can surf the net and play f-tilt or p-stars with no problems while simultaneously struggling to play on bodog (I struggle even when I’m exclusively connected to Bodog). I’m not sure what the problem is, but it’s discouraging when I have a decent hand and have it auto-folded because I can’t respond in a timely manner.