Is The Card In Poker Online Are Mixed Everytime?
Contents
 1 Is poker easier online or in person?
 2 Are there bots in online poker?
 3 Do you shuffle cards every hand in poker?
 4 How many times is the perfect shuffle?
 5 Are poker decks shuffled?
 6 Is a poker deck shuffled after every hand?
 7 How many decks are shuffled a day?
How often is the deck shuffled in poker?
Download Article Download Article Texas Hold ‘em is a popular poker variation in which players seek to put together a winning hand using a pair of hole cards dealt prior to the start of the game and five community cards turned over in stages during each round of betting.
 1 Deal a single card to each player to determine who will deal first. The player with the highest card value gets the privilege of dealing the first round. Aces are high when determining dealer order, which means that ace cards have the greatest value of all the cards in the deck. Alternatively, spread out the cards facedown on the table and have each player draw one at random.
 You can also decide who will deal first by simply talking amongst yourselves if you’re playing a casual game with friends.
 The dealer is usually given a discshaped token called a “button,” which they leave out in front of them on the table. This just makes it easier for everyone to keep up with who the dealer is at any given time.
 Any large coin or colored chip from a different set than the one you’re currently betting with can serve as a makeshift dealer button for home games.
 2 Fan out the cards facedown on the tabletop. Set the deck down and run your hand along the top to spread the cards out in a smooth arc or winding Sshape. This will allow you and the other players to visually confirm that all of the cards are present and accounted for, and that there’s nothing unusual about any of them.
 There are 54 cards in a standard deck of playing cards (including 2 joker cards). Texas Hold ‘em is played using all 52 primary suit cards.
 Fanning the deck before you begin the game also gives you a chance to make sure that nothing is out of place. Every now and then, a card may be facing the wrong way, or a card from a different deck might have somehow found its way into the deck you’re playing with.
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 3 Shuffle the deck two or more times in a row. Many professional dealers favor the classic table riffle. Gather up the fanned cards and divide the stack into two roughly equal halves. Hold the halves close together against the tabletop with the bottom cards facing one another.
 If you prefer, you can also use another shuffling method, such as the overhand, weave, or Hindu shuffle. Go with whichever technique is most natural for you.
 Regardless of the shuffling technique you choose, plan on repeating it at least twice, one after the other. This will help ensure that each deal is as random as possible and therefore not “stacked against” any of the players.
 4 “Strip” the deck into thirds and shuffle again. Hold the deck in one hand and use your other hand to remove approximately one third of the cards from the upper part of the stack. Set these cards on the table facedown. Next, take the middle third and place it on top of the first section. Finally, set the bottom third on top of the stack to reassemble the deck.
 As the dealer, it’s crucial that you learn to shuffle the deck thoroughly in order to avoid accusations of bias or cheating. It’s not uncommon for professional poker dealers to shuffle as many as five or six times before dealing a single card.
 5 Cut the deck into two halves of equal size and shuffle one last time. Pick up the top half of the deck and set it down on a cut card alongside the bottom half. Then, place the former bottom half on top of the former top half before mixing them up again. You’re now ready to begin dealing.
 A “cut card” is a cardsized piece of plastic or cardboard of a solid color designed to keep the card at the bottom of the deck from being exposed. If you don’t have a designated cut card, use one of the joker cards.
 Stripping and cutting make each shuffle more effective by breaking the deck down into small sections and switching up their order.
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 1 Deal each player two cards face down. Starting with the player to your left, go around the table clockwise and slide one card to each person. Then, repeat the process so that each player has a total of two cards. You should be the last person to receive your final card.
 These two cards are known as the “hole” cards. You and the other players will keep them hidden until the showdown, matching them with five soontoberevealed community cards in an attempt to put together the winning hand.
Tip: In highstakes games like poker and its many variations, it’s customary to distribute the cards one at a time rather than giving each player all of their cards at once.
 2 Signal for the players to open the preflop betting, Betting always begins with the player to the left of the Big Blind. During the preflop betting, each player has the option of either “calling,” or matching the bet set by the Big Blind, “raising,” or upping the bet to double the amount of the Big Blind, or “folding,” or pushing their cards away to signal that they concede the hand.
 The two players sitting to the left of the dealer in a clockwise direction are known as the “Small Blind” and “Big Blind,” respectively. These players are obligated to make “blind” wagers to ensure that there’s money in the pot when the game begins. The Big Blind’s bet is typically twice the amount of that of the Small Blind.
 There are four separate stages of betting in Texas Hold ‘em. The preflop is the preliminary betting stage, and takes place before any of the community cards are revealed.
 3 Collect all of the cards folded during the opening bet. Whenever a player chooses to fold, they’ll push their hand toward the center of the table. After every player has made their move, take all of the forfeited cards and arrange them together in a stack, which is commonly referred to as the “muck pile.” Position the muck pile facedown near the center of the table underneath the hand you’re using to hold the deck.
 To avoid confusion, be sure to keep the muck pile away from the deck, the hole cards, or any other active cards on the table.
 Make sure you also move all of the chips wagered into a pile near the center of the table after each round of betting from this point on.
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 1 Place the first card in the deck facedown on the table to discourage cheating. Discarding the top card in this way is known as “burning.” This is done to make it impossible for less honest players to gain an unfair advantage by tracking premarked cards.
 Keep the burnt card close to the rest of the stack to make it clear that it’s not in play.
 Burning the top card in the deck only serves as a precautionary measure, and won’t affect the randomization of the cards.
 2 Turn over the three cards at the top of the deck to deal the “flop.” Deal each card one after the other in a straight line in the center of the table. The players now have their first full hand, made up of their two hole cards and the three community cards in the flop. At this point, the betting is no longer blind.
 Once you’ve dealt the flop, the next round of betting will begin. This round will only include the players who haven’t already folded, starting with the first active player to your left.
 Flop betting will continue until each player remaining has chosen to check (or pass their turn if no betting action has occurred yet), bet, raise, call, or fold.
 3 Flip a fourth card to reveal the “Turn” and initiate the next round of betting. The Turn is the name for the fourth community card put into play. Burn the first card in the stack as you did when dealing the flop, then situate the next card alongside the other three. Once again, players will have the choice to check, bet, raise, call, or fold.
 If every player folds except one, that player is automatically declared the winner and claims whatever is in the pot at this phase of the game.
Tip: Don’t forget to scoop up any cards that are folded during this round of betting and add them to the muck pile.
 4 Set down a fifth card to play the “River” and open the last round of betting. The River is the fifth and final community card. Burn the top card in the stack and place the River card face up on the table right beside the Turn card. Give the players time to review their hands and place their bets before continuing.
 Once you’ve turned over the River, players will have a total of seven cards (two holes cards plus the five community cards) with which to build their final hands.
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 1 Instruct the remaining players to reveal their cards for the Showdown. Traditionally, the last player to bet or raise during the final round is the first to put down their cards. After that, the Showdown proceeds around the table clockwise. If everyone chose to check in the final round, the player to your immediate left will automatically be designated as the first to show.
 During the Showdown, players also have the option of “mucking,” or surrendering their hand without turning their cards over. Players who muck aren’t eligible to win the pot.
 2 Announce the winning hand clearly. Hands follow the same basic value rankings in Texas Hold ’em as in most other popular versions of poker. Be sure to point out where the victorious player’s cards trump the other players’ so that there won’t be any doubt or confusion.
 Keep in mind that aces are both high and low in Texas Hold ’em, meaning they can be played before a 2 or after a King in a straight.
Tip: Leave the cards out in plain sight on the table so that everyone has plenty of time to see the winning hand for themselves.
 3 Push the pot to the player with the strongest hand. Now that the hand has ended, the victor is free to collect their winnings. After presenting the pot, turn your hands over to show that you haven’t secretly palmed any chips. This is a sign of good faith among amateur players, who typically place bets in addition to dealing.
 In the event of a tie, the pot should be “chopped,” or split evenly among the players with the highest hands.
 4 Pass the dealer button to the player on your left to begin the next hand. The player who was the Small Blind in the previous round will now serve as the new dealer. In this way, the roles of dealer, Small Blind, and Big Blind will continue to rotate around the table so that every player gets a turn.
 If at any point a player decides to withdraw from the game before their turn as dealer, the person to their left becomes the next dealer in line.
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Add New Question
 Question Who deals each round? The dealer chip is moved around the table clockwise, and the player with the dealer chip deals. If playing at a casino/tournament, you will have a designated dealer from the casino but will still have a dealer chip on the table so you know who needs to put down SB + BB.
 Question How do you determine a tie? An even tie usually splits a pot. If a straight is laid out on flop/turn/river, the high card determines the winner.
 Question What happens if a dealt card turns up? If a dealt card turns faceup, continue dealing around the table as if nothing has happened. When you have dealt the 2nd card to the person with the Dealer Button, make sure everyone on the table have seen the faceup card. This then becomes the first burn card, so deal the 2nd card to the person and place the faceup card on top of the deck (to make sure it’s the burn card next).
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 Remind the other players to keep their cards directly in front of them on the table. Otherwise, they might be mistaken for a folded hand and whisked away to the muck pile. If this happens, they can’t be put back into play, and the player is essentially ejected from the game.
 To minimize the time between games, consider playing with two separate decks. That way, the next dealer can be shuffling the second deck while the first is still in play. If you decide to use more than one deck, make sure the reserve deck has a differentcolored backing.
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Don’t allow players to hold, reposition, or otherwise handle their cards after the initial deal. Unscrupulous gamblers may take advantage of these sorts of opportunities to hide, switch, or mark cards.
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 Playing cards
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Article Summary X Texas Holdem is a variation of poker in which players try to put together a winning hand using 2 cards dealt to them at the beginning of each hand and the 5 community cards on the table. To start a hand, shuffle the cards and deal them out 1 at a time, starting with the person to your left, until all of the players have 2 cards.
 The players to the left of the dealer are the “Big Blind” and the “Little Blind,” respectively, and the betting begins with the Little Blind betting half of what the Big Blind bets.
 The betting then continues clockwise around the table, and each of the players can call, raise, or fold.
 The dealer then flips 3 cards on the table, known as the flop, and the betting starts again.
The hand continues with the dealer flipping a turn and then a river card, with betting taking place between each card. Once all of the cards have been dealt, the players reveal their cards to determine who wins the pot, or the chips that were bet that hand.
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Is online poker skill or luck?
Are the world’s most successful poker players products of hard work and skill? Or are the highestearning players in the history of the game simply the luckiest? The debate on whether poker is a game of skill or luck will probably persist for as long as poker exists.
 Like all gambling games, luck does play a major role in poker, especially in the short term.
 Poker is different than any other form of gambling, however.
 Unlike the other games on a casino floor, poker is a game of skill, and the world’s top pros make money because they’re the best players in the game.
Let’s take a look at what makes poker a game of skill:
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Is online poker actually random?
It doesn’t matter if the odds of getting a flush or straight are 10 times greater playing online opposed to playing real poker. But the odds of making every type of hand are exactly the same on every poker site. Millions of hands tested by numerous players confirm this.
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Is card shuffling random?
Theorem – You could simulate this in a short program, which we will do towards the end, but first we can solve for the number of riffles explicitly. Consider an ordered deck of cards. Without loss of generality, let’s say the suits are in the following order: ♠, ♣, ♥, ♦,
 So our ordered deck looks like this.
 The bottom suit is ♦, which means the bottom card of our deck is the King of Diamonds ( K♦ ).
 Now perform the following iteration: Place the top card of the deck randomly inside the deck This means taking the A♠ and placing it randomly somewhere in the deck.
 The top card then becomes 2♠,
If this procedure is repeated, eventually the top card will be placed at the very bottom of the deck, shifting the K♦ to the penultimate position. Since every riffled card has a 1 5 2 \frac chance of moving to any new position in the deck, that means, on average, after about 52 top card riffles, the top card will become the new bottom card.
 The top card is placed above the K♦, therefore its position does not change.
 The top card is placed underneath the K♦, therefore it rises one position closer to the top.
Once the K♦ moves up one position, upon subsequent riffles there are now two spots for the new top card to be placed underneath it. That means there is now a 1 5 2 + 1 5 2 = 2 5 2 \frac +\frac =\frac chance of a riffled card going underneath the K♦, Continuing this procedure, the original bottom card, the K♦, will eventually rise to the top of the deck and be riffled.
Once this happens, the deck is randomly shuffled: the order we’re left with is equally as likely as any other order. So, how many single card riffles does this take? Recall each time a card is placed underneath the K♦, our chances of placing another card increases by 1 5 2 \frac, We can calculate the number of riffles this would take.
∑ i = 1 5 2 5 2 i = 5 2 1 + 5 2 2 + 5 2 3 +, + 5 2 5 2 ≈ 2 3 6 \sum_ ^ \frac = \frac + \frac + \frac +, + \frac \approx 236 On average, 236 single card riffles will randomly shuffle a deck of cards.
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Is shuffling cards actually random?
In Shuffling Cards, 7 Is Winning Number (Published 1990)
Send any friend a story As a subscriber, you have 10 gift articles to give each month. Anyone can read what you share. Give this article Give this article Give this article
Credit. The New York Times Archives See the article in its original context from January 9, 1990, Section C, Page 1 TimesMachine is an exclusive benefit for home delivery and digital subscribers. This is a digitized version of an article from The Times’s print archive, before the start of online publication in 1996.
To preserve these articles as they originally appeared, The Times does not alter, edit or update them. Occasionally the digitization process introduces transcription errors or other problems; we are continuing to work to improve these archived versions. IT takes just seven ordinary, imperfect shuffles to mix a deck of cards thoroughly, researchers have found.
Fewer are not enough and more do not significantly improve the mixing. The mathematical proof, discovered after studies of results from elaborate computer calculations and careful observation of card games, confirms the intuition of many gamblers, bridge enthusiasts and casual players that most shuffling is inadequate.
The finding has implications for everyone who plays cards and everyone, from casino operators to magicians, who has a stake in knowing whether a shuffle is random. The mathematical problem was complicated because of the immense number of possible ways the cards in a deck can be arranged; any of 52 could be first in the deck, any of 51 could be second, 50 could be third and so on.
Multiplied out, the number of possible permutations, 52 factorial, or 52;51;50, etc. is 1063 or 10 with 62 zeros after it. No one expected that the shuffling problem would have a simple answer, said Dr. Dave Bayer, a mathematician and computer scientist at Columbia who is a coauthor of the recent discovery.
 Other problems in statistics, like analyzing speech patterns to identify speakers, might be amenable to similar approaches, he said.
 The new result ”definitely solves the problem,” said Dr.
 David Aldous, a statistician at the University of California at Berkeley.
 ”All their calculations are right.
 It’s a fascinating result.” Dr.
Persi Diaconis, a mathematician and statistician at Harvard University who is the other author of the discovery, said the methods used are already helping mathematicians analyze problems in abstract mathematics that have nothing to do with shuffling or with any known realworld phenomena.
 Dr. Diaconis, who is also a magician, has invented numerous card tricks and has been carefully watching casino dealers and casual card players shuffle for the past 20 years.
 The usual shuffling produces a card order that ”is far from random,” Dr.
 Diaconis said.
 ”Most people shuffle cards three or four times.
Five times is considered excessive.” The realization that most shuffled decks are not actually random allows gamblers to improve their odds of winning. ”There are people who go to casinos and make money on this,” Dr. Diaconis said. ”I know people who are out there doing that now.” How Casinos Do It In Las Vegas, cards are shuffled from four to seven times, at the discretion of the casino owners, said Richard Ingram, a Las Vegas enforcement agent for the state gambling control board.
 Dr. Diaconis said he almost never sees a dealer shuffle seven times.
 He said his research also shows that when dealers shuffle several decks at once, they need to shuffle more.
 Two decks should be shuffled nine times, he said, and six decks should be shuffled 12 times, which is unheard of in the casinos.
At Trump Plaza in Atlantic City, blackjack dealers shuffle eight decks twice at the beginning of each game, said Howard Dreitzer, who is senior vice president of casino operations. ”We’ve tested these shuffles and feel that they are random,” he said, adding that ”no one has ever complained.” Bridge players usually shuffle about four times, except in some tournaments when a computer randomly mixes the cards, said Edgar Kaplan, who is editor and publisher of Bridge World magazine.
 Asked whether he expected bridge players to change their shuffling habits, Mr.
 Aplan replied, ”There will be a few who will be affected and will doggedly shuffle seven times to the irritation of everyone else.” As for himself, Mr.
 Aplan said, ”I probably will move up from four to five” shuffles, a decision which, the research shows, will not appreciably improve the randomness of the shuffled cards.
Dr. Diaconis has found that many bridge players take advantage of the nonrandomness of seemingly shuffled cards. He said a bridge club in New York State once consulted him, as a magician, to find out whether several players were cheating. After watching play ”and doing a little thinking in between,” Dr.
Diaconis knew what was going on. These players had figured out that the cards were not being randomly shuffled, and that they could predict the distributions of cards by knowing what the deck looked like at the end of the previous hand. A Punishment of Sorts The players ”admitted to it readily,” Dr.
Diaconis said. ”But they didn’t think they were doing anything wrong. After all, they were just thinking.” The club asked those players not to play together for a year. When computers were introduced into tournament bridge about 18 years ago, some players were puzzled and others outraged by the random hands the computer dealt and complained that the computers were not working right.
 At about the same time, a bridge encyclopedia was published.
 The encyclopedia ”used a computer to figure out odds,” Dr.
 Diaconis said.
 ”For example, given that between my opponents there are seven hearts, what’s the chances that one has four hearts and the other has three? Some of these odds were at variance with expert play.
The experts had intuited – correctly – the actual ways the cards were shuffled. People thought the encyclopedia was wrong.” By saying that the deck is completely mixed after seven shuffles, Dr. Diaconis and Dr. Bayer mean that every arrangement of the 52 cards is equally likely or that any card is as likely to be in one place as in another.
 The cards do get more and more randomly mixed if a person keeps on shuffling more than seven times, but seven shuffles is a transition point, the first time that randomness is close.
 Additional shuffles do not appreciably alter things.
 Grist for Magicians Magicicans have long taken advantage of the nonrandomnesss of most card shuffling, Dr.
Diaconis said. In fact, he said, Charles T. Jordan, a magician, chicken farmer and professional contest entrant from Petaluma, Calif., made a fair amount of money around the turn of the century by selling a card trick exploiting the fact Dr. Diaconis said he first began to think about the shuffling problem 20 years ago after a visit to A.T.&T Bell Laboratories in Murray Hill, N.J.
Mathematicians there told him about the problem but said they had given up trying to solve it in 1955 because there were so many ways to arrange a deck. Dr. Diaconis began working with Dr. Jim Reeds at Bell Laboratories and showed that a deck is perfectly mixed if it is shuffled between 5 and 20 times.
Next, Dr. Diaconis worked with Dr. Aldous and showed that it takes 5 to 12 shuffles to perfectly mix a deck. But, said Dr. Diaconis, ”nobody in practice shuffles 12 times,” adding, ”We needed some new ideas.” In the meantime, he also worked on ”perfect shuffles,” those that exactly interlace the cards.
 Almost no one except a magician can do perfect shuffles every time. But Dr.
 Diaconis showed several years ago that if a person actually does perfect shuffles, the cards would never be thoroughly mixed.
 He derived a mathematical proof showing that if a deck is perfectly shuffled eight times, the cards will be in the same order as they were before the shuffling.
To find out how many ordinary shuffles were necessary to mix a deck, Dr. Diaconis and Dr. Bayer watched players shuffle. He also watched Las Vegas dealers to see how perfectly they would interlace the cards they shuffled. Observations During Poker Dr. Bayer said he seized every opportunity to get data.
”I asked everyone in my poker game, once they dropped out of a hand, to shuffle for me,” he said. Then the researchers did extensive simulations of shuffling on a computer. To get the proof, the researchers looked at a lot of shuffles, guessed that the answer is seven, and finally proved it by finding an abstract way to describe what happens when cards are shuffled.
”When you take an honest description of something realistic and try to write it out in mathematics, usually it’s a mess,” Dr. Diaconis said. ”We were lucky that the formula fit the real problem. That is just miraculous, somehow.” : In Shuffling Cards, 7 Is Winning Number (Published 1990)
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Is poker good for your brain?
Medical benefits of playing Poker – Reduces risk of Alzheimer’s disease Alzheimer’s is known to be a neurodegenerative disorder that has a genetic predisposition and no certain cure has been recognized as of now. However, it can be prevented with certain cognitive sports and poker is one of them.
Studies have shown that playing poker can actually reduce your chances of developing brainrelated diseases like Alzheimer’s by over 50 percent. Leads to rewiring the brain Poker acts like Pushups for our brain. It strengthens your brain and shields your nerve cells. Playing poker can help to rewire your brain and help to create myelin for a longer run.
When we perform any activity consistently, it leads to the creation of new neural pathways. The nerve fibers are surrounded by a myelin sheath. This protects and nourishes the nerve cell. The more often impulses are transmitted through this network, the thicker the myelin sheath becomes.
 This is called myelination.
 Hence, the more poker we play the more myelin our brains create.
 Poker also helps in controlling emotions and making quick decisions that increase cognitive capacity, hence improving your chances of keeping a healthy brain.
 There are many ways in which poker is useful for the brain.
In fact, it develops a host of skills in us. Mentioned below are the key ones:
While playing poker players tend to be totally engrossed in the game, trying hard to think about what moves the others are planning. This enhances their concentration, attention, problemsolving skills, etc. Playing online games like poker develops reading skills among players. Poker requires us to read and understand all its concepts, instructions, and find clues. In fact, some people even read blogs and books on poker. The reading skills that are developed in a person benefits them when they read so many things, such as reading helps in the development of the brain. During the game, players come across situations where they have to think and act quickly in a certain manner. Thus, it develops problemsolving and critical thinking skills in a person, which are useful for the brain. Playing poker is a stress buster for many. So it helps in keeping the brain relaxed. Poker also enhances our ability to read situations, and opponents, as the players need to determine the odds and probabilities in any situation if it’s a flopping flush or a full house.
(The author is CEO & Cofounder, Pocket52) Moneycontrol Contributor
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Is poker easier online or in person?
1. Live Games Tend to Be Much Softer at Comparable Stakes – If you’ve played NL200 or higher stakes online, or heard the stories about it, you’re probably aware these games are tough. Here you’ll find dedicated grinders who know the strategy and don’t make many mistakes.
Beating online cash games at these stakes requires a lot of work of the tables. Live games at the same or similar level, on the other hand, are a lot easier. “If you’re beating NL200 online, you’ll probably have no problems playing as high as NL1,000 in your local casino.” A decent NL10 online grinder will be a favorite in most NL200 live games.
Even if it seems strange at first glance, there’s a perfectly good explanation for it. Most casinos don’t spread anything below NL200 because it’s not financially feasible, so everyone who wants to play poker has to play these stakes or higher. Online, you can play as low as NL5 if you simply want to have some fun, and many recreational players choose this option.
 Because of this, you won’t find many people just looking to blow off some steam in NL200 games online, while you can find plenty of such players in a live setting.
 Of course, it works both ways.
 A decent winner in their local 1/2 game sitting down at the same stakes online can be in for a rough ride.
 You’ll probably need to brush up on your strategy and adopt some new skills before you can become profitable in these games, and you’ll likely need to use tracking software so that you’re not at a disadvantage.
Therefore, when transitioning from one setting to another, be sure to choose an appropriate stake.
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What is the most important skill in poker?
1. Handling Your Finances (Bankroll Management) – There are very few skills in poker as vital as the ability to manage your money. “Your bankroll is your single most important asset, so you need to learn how to handle it properly to succeed in the long run.” Poor bankroll management, playing higher than you can afford, or taking too many shots, are the fastest ways to lose all your money.
This is a lesson many poker players have to learn on their own before realizing there’s simply no way around it. On the bright side, learning to handle your bankroll in poker will help you prepare for other life situations. You will learn key aspects of planning and distributing the funds in the most efficient way, and even taking necessary risks.
Whether in business or on a personal level, this is a very good skill to have.
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Who is the most successful online poker player?
‘ No one knows this better than the Number 1 poker player Bertrand Grospellier. Bertrand has not only made several million in online poker tournaments but also earned two titles worth $500,000. His passion for the game took him from the online circuit to live tournaments where he made a killing.
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Why do I keep losing online poker?
5. Use Timeouts to Stop Losing at Poker – The last and probably most effective way to stop losing at poker is to use timeouts to control your tilt when it starts building. Tilt or frustration is easily the #1 reason why people fail to win in poker. It isn’t that they don’t have the skills to win, it’s that they throw away all their profits when the cards go south on them. So I would recommend making use of timeouts when you take a few bad beats in a row. This means that you immediately get up from the table and go walk around for a few minutes. Try doing some deep breathing exercises. This allows you to calm yourself down and prevents you from making emotionally charged poor decisions at the poker table.
If you feel that your level of tilt and frustration is extremely high, then you should just quit playing poker for the day completely. Remember that the games will always be there again tomorrow when you have a clear mind. One of the best pieces of advice I can ever give you to stop losing at poker is to stop playing when you are feeling tilted.
This literally ruins entire poker careers, bankrolls and dreams in this game. By the way, I discuss this in much more detail in my new Elite Poker University training. Learn EXACTLY how to start crushing small and mid stakes poker games, play semipro or even full time pro.
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Are there bots in online poker?
How Poker Bots Work – Image: fox.com Poker bots are pieces of software used on online poker sites (usually) by players who can’t beat the game normally. Bots are computers that use mathematics and player knowledge to attempt to beat reallife human players. Bots run in the background and as standalone programs alongside the client you’re running.
Primarily, they track the hands that have been played and make observations that the human eye may not be able to see. It’s like an HUD but it actually plays for you too. Running a bot is pretty easy, as long as they are permitted by the poker site you’re playing at. They’re just downloadable programs and they come with clear instruction manuals.
There are plenty of bots for sale on the open market. They can tackle cash, MTTs or Omaha but none guarantee a winning run over the long term. That hasn’t stopped some sites cracking down on them though. PokerStars was investigating a suspected highprofile case of bots in 2016’s Turbo Championship of Online Poker.
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How are cards generated in online poker?
Fairness – The random number generator and other systems, algorithms and practices ensure that partypoker remains fair to each player, the site states. The deck is shuffled and the cards are generated through a random number generator. These numbers are scaled and shuffled from 32bit raw numbers to generate a 52card deck.
 According to partypoker, this is an acceptable, statistically sound method to create randomness.
 This algorithm and shuffling code were used to generate over two million shuffled decks and met the test standards on a monthly basis.
 The source code is also reviewed by iTech to make sure that the internal state is secured and seeding is from an entropy source.
Try your luck at partypoker! A study that statistically tested random number generators at the National Institute of Standards and Technology found that new metrics to investigate randomness helped to gain additional confidence that random number generators are acceptable from a statistical point of view.
Thus, random generators should continuously be tested to ensure quality, but “are very important in the construction of encryption keys and other cryptographic algorithm parameters.” So maybe the next time you call out an online poker site for being rigged, start by making sure your gameplay is solid.
Now, you can focus your efforts elsewhere, like on your video poker strategy.

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 The usual shuffling produces a card order that is far from random,” he told The New York Times.
 Most people shuffle cards three or four times, while five times is considered excessive.” He further claimed that he knew of people who went to casinos and made money off the back of decks being undershuffled, although now — over two decades later — the vast majority of casinos will use sophisticated shuffling machines rather than relying on croupiers to mix up the deck after a hand is finished.
 For two cards it’s 2×1=2 and for three cards it’s 3x2x1=6.
 There’s a mathematical way to write 3x2x1 and that’s 3! — a factorial.
 As the number of cards increases, the factorial becomes huge.
 So 10! is 3,628,800 permutations and by the time you get up to 20! the result is 2,432,902,008,176,640,000.
 For those who prefer words, that’s two and a half billion, billion.
Are cards based on luck?
Does it take more luck or skill to win games? Let’s lay the cards on the table: sometimes you win a game because of pure talent, and other times it’s simply the luck of the draw. People tend to believe that victory in popular card games like Uno (52%) and Go Fish (63%) is based on random chance.
But, a betting game like poker is seen as requiring more skill (54%) than luck (28%), according to a YouGov Poll that asked 1,226 adults to decide whether games were more dependent on random chance or intentional decisions. Other classic card games that are considered more skillbased than luckbased include Rummy (38% vs 24%), Bridge (36% vs 9%), and Cribbage (26% vs 11%).
More than two in five Americans (44%) consider the casino card game, Blackjack, a game of luck over skill (35%). There is a consensus that several popular board games take skill over luck. Most adults agree that it takes good decisionmaking to win Chess (82%), Checkers (77%), and Scrabble (76%).
A plurality says the same for Connect Four (49% vs 21%), the mystery game Clue (46% vs 23%), Backgammon (45% vs 13%), and Battleship (45% vs 31%). Of course, not all games carry the same amount of notoriety. Cards Against Humanity — a popular party game where players use cards to build sentences — is more wellknown among younger Americans (Generation Z and Millennials) than older Americans (Gen X and Baby Boomers).
Three in 10 young Americans (31%) say Cards Against Humanity is a game of luck, rather than a game of skill (25%). While twothirds of Americans (67%) are not familiar with the multiplayer board game, Settlers of Catan, it is twice as likely to be called a game of skill (15%) over a game of luck (6%) by those who are.
Younger Americans, who are more familiar with Settlers of Catan, categorize it as skillbased (26%) over luck dependent (11%). Skill aside, the cards don’t always play in your favor, and not every game is fair: some people admit to cheating. One in five Americans cheats on board games (20%) or card games (19%) at least sometimes.
About twothirds say they never do this. And if you’re curious whether your counterpart is stacking the deck, men admit to cheating on board games (23%) more than women (16%). Three in 10 Americans (31%) have stop ped playing a board game if it became apparent that they were going to lose.
While most Americans (55%) have never quit early on a game, me n (34%) are slightly more likely than women (28%) to do so. See the Methodology : This YouGov survey was conducted using a nationally representative sample of 1,226 adults interviewed between May 2226, 2020. The figures have been weighted and are representative of all US adults (aged 18+),
This sample was weighted according to gender, age, race, and education. : Does it take more luck or skill to win games?
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Do you shuffle cards every hand in poker?
While you play the current hand, another deck is shuffling and between each hand, the decks are swapped in & out of the shuffler.
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How many times is the perfect shuffle?
Last week I compared the overhand shuffle to the riffle shuffle, I used random operations to simulate both kinds of shuffles and then compared how well they mix cards. The article caused one my colleague and fellow blogger, Rob Pratt, to ask if I was familiar with a bit of shuffling trivia: if you perform a perfect riffle shuffle, the cards return to their original order after exactly eight perfect shuffles! This mathematical curiosity is illustrated in a beautiful animation by James Miles, which shows the results of eight perfect shuffles.
After being reminded of this interesting fact, I wondered how the result generalizes to decks of various sizes. That is, if you use a deck with N cards, what is the minimum number of perfect riffle shuffles (call it P(N)) that you need to restore the deck to its original order? I decided to run a SAS program to discover the answer.
The result is summarized in the following graph, which plots P(N) versus the number of cards in a deck. All points are below the identity line, which implies that at most N – 1 shuffles are required for a deck that contains N cards. If you want to learn more about the graph and its interesting patterns, read on.
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Is every card shuffle different?
While it’s possible that two packs of cards may have been shuffled into the same order, the odds of that having happened are actually tiny and yes, it’s hugely likely that each properly shuffled deck is indeed a unique variation of those 52 cards. While it seems improbable, given how many packs of cards there are being shuffled in the world every day of every month of every year since playing cards were invented (about 700 years ago), the maths behind it back up the notion that proper shuffles result in unique orders.
Of course, technically, you could take a fresh deck (that is already in order, as boxfresh decks tend to be) and split the deck just once and claim that is a shuffle and yes, the resulting sequence has probably occurred before. But a full proper shuffle is almost certainly unique each time. To start, however, the concept of what constitutes a “proper shuffle” is something that magicians and mathematicians have pondered for years.
But in 1990 Dr Persi Diaconis, a former professional magicianturnedprofessor of statistics at Harvard University, concluded that it takes just seven ordinary, imperfect shuffles to mix a deck of cards thoroughly. Fewer was not sufficient while more shuffles did not significantly improve the mixing of cards.
So now we’ve largely established what actually constitutes a proper shuffle, how many permutations of a shuffled deck are there? It’s actually a good way of illustrating factorials and huge growth. If you have one card there is only one possible order.
So for a full deck you’ve got 52 choices for the first card, times 51 choices for the second card, times 50 choices for the third card and so on. So it’s 52 x 51 x 50 x 49 x 48 and so on until the final x 2 x 1 (or 52!) or and the result is 8×1067 possible orderings.
Or for those who prefer to see the full number, it’s 80,658,175,170,943,878,571,660,636,856,403,766,975,289,505,440,883,277,824,000,000,000,000 To give you an idea of how big this number is in experiential terms, if a new permutation of 52 cards were written out every second starting 13.8 billion years ago (when the Big Bang is thought to have occurred), that writing would still be going on today and for millions of years to come.
Or to look at it another way, there are more permutations of 52 cards then there are estimated atoms on Earth. So yes, it’s very nearly certain that there have never been two properly shuffled decks alike in the history of the world, and there very likely never will be.
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Does the deck get shuffled every hand in poker?
The Shuffle and Cut –
In a playerdealt game, the pack must be shuffled and cut before the cards are dealt. The recommended method to protect the integrity of the game is to have three people involved instead of only two. The dealer on the previous hand takes in the discards and squares up the deck prior to the shuffle. The player on the new dealer’s left shuffles the cards and then slides the pack to the new dealer, who gets them cut by the player on his right. The deck must be riffled a minimum of four times. The cut must leave a minimum of four cards in each portion. The bottom of the deck should be protected so nobody can see the bottom card. This is done by using a cutcard. A joker can be used as a cutcard. Any complaint about the shuffle, cut, or other preparation connected with dealing must be made before the player has looked at his hand or betting action has started.
Are poker decks shuffled?
Mechanics of dealing – Dealers must be proficient in shuffling the deck, distributing the cards to the players, and, if required by the game being dealt, turning up the community cards in the center of the table. There are two methods of distributing the cards, “American”style and “European”style.
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Is a poker deck shuffled after every hand?
Deck shufflers are very, very common because they are consistent and a lot faster, leading to more income per table per hour at casinos. While you play the current hand, another deck is shuffling and between each hand, the decks are swapped in & out of the shuffler.
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How many decks are shuffled a day?
Asked 12 years, 4 months ago Viewed 101k times $\begingroup$ I just came back from a class on Probability in Game Theory, and was musing over something in my head. Assuming, for the sake of the question:
Playing cards in their current state have been around for approximately eight centuries A deck of playing cards is shuffled to a random configuration one billion times per day Every shuffle ever is completely (theoretically) random and unaffected by biases caused by human shuffling and the games the cards are used for By “deck of cards”, I refer to a stack of unordered $52$ unique cards, with a composition that is identical from deck to deck.
This would, approximately, be on the order of $3 \cdot 10^ $ random shuffles in the history of playing cards. If I were to shuffle a new deck today, completely randomly, what are the probabilistic odds (out of $1$) that you create a new unique permutation of the playing cards that has never before been achieved in the history of $3 \cdot 10^ $ similarly random shuffles? My first thought was to think that it was a simple matter of $\frac \cdot 3 \cdot 10^ $, but then I ran into things like Birthday Paradox, Vincent 2,273 2 gold badges 29 silver badges 55 bronze badges asked Jul 25, 2010 at 4:45 Justin L. Justin L.13.9k 22 gold badges 61 silver badges 73 bronze badges $\endgroup$ 2 $\begingroup$ Your original answer of $\dfrac } $ is not far from being right. That is in fact the expected number of times any ordering of the cards has occurred. The probability that any particular ordering of the cards has not occurred, given your initial assumptions, is $\left(1\frac1 \right)^ )}$, and the probability that it has occurred is 1 minus this value. answered Jul 25, 2010 at 5:04 Michael Lugo Michael Lugo 21.3k 3 gold badges 43 silver badges 87 bronze badges $\endgroup$ 4 $\begingroup$ There are $52!$ possible orders for a deck of $52$ cards. If a unique order of a deck of $52$ unique cards had been created every second since the big bang, the chances that any two of them were repeated is approximated by $$1(11/52!)^ )} = 1.2397999\times10^ \,$$ To show the size of this number, assume that the same shuffling has taken place every second on one planet orbiting every one of the estimated $10^ $ stars in the known universe since the beginning of time. David 78.7k 8 gold badges 85 silver badges 151 bronze badges answered Feb 16, 2014 at 23:50 $\endgroup$ $\begingroup$ Suppose we shuffle a deck and get a permutation p. For each previous shuffling there is a 11/52! chance that p doesn’t match it. Each previous shuffling is independent, in that regardless of what p and the other permutations are, the chance of p matching the shuffling is 11/52! When probabilities are independent we can simply multiple them to find the chance of all the events happening. Casebash Casebash 8,883 8 gold badges 55 silver badges 80 bronze badges $\endgroup$ $\begingroup$ You’re right to question your assumptions and right that the formula you give ($n=$number of shuffles that have been made/$N=$number of possible shuffles) isn’t quite right (as others have noted), but unlike the birthday paradox, here the difference works to lower the chances of a match, not raise them.
Working with smaller numbers helps with the intuition a bit: suppose that there have been $n$ rolls of a $N=$20sided die, and you want to know what your chances are of hitting a match to some previous roll. Then a reasonable first approximation for small $n$ is that the probability of a match is $n/20$: this is correct for $n=0$ and $n=1$, and it matches the ‘intuition’ of having $n$ previous rolls to match against.
But bumping the number up to $n=20$ shows the breakdown of the approximation; after 20 rolls, your odds aren’t 100% of rolling a number that’s already been rolled once, and after 21 rolls they certainly aren’t greater than 100%! The flaw here, of course, is that after $n$ rolls there won’t have been $n$ unique numbers rolled; instead, there are likely to already be some duplicates.
But it’s also clear from thinking about the probability this way that the odds of a match on your next shuffle (or roll) must be less than what the odds would be if all the previous shuffles were unique, and so must be less than the $n/N$ approximation that you use (with $n=3\times 10^ $ and $N=52!$).
(There’s also a relatively intuitive way of looking at the birthday paradox that explains its ‘paradoxical’ nature; there you’re not trying to match one thing against $n$, but $n$ things against each other – so the correct quantity to use isn’t $n$ itself, but instead the number of possible matches, $n(n1)/2\approx n^2/2$, with each one (heuristically) having a $1$ in $N$ chance of actually matching; this is why you can start expecting a match for a value of $n$ that’s proportional to $\sqrt $ rather than for a value of $n$ that’s proportional to $N$.) answered Aug 29, 2013 at 17:52 Steven Stadnicki Steven Stadnicki 50.5k 9 gold badges 80 silver badges 143 bronze badges $\endgroup$ $\begingroup$ Applying the birthday paradox logic when calculating the chance a 52 cards deck order has been shuffled before in the history of mankind.
x= the number of times a 52 deck of cards has been shuffled before in the entire history. p = 1 – ((52!)! / 52!^x * (52!x)!) This part is highly speculative: Lets say there have lived 30 Billion humans in the last 800 years that playing cards been around. When somebody play cards 1x a month for 50 years he shuffles 600 times.
Some people never play cards, other way more than once a month. Lets take 600 times in a lifetime as an average, then in the entire history there would been 18000 billion shuffles. Now comes a practical problem it’s easy to fill in 18000 Billion for x but I can’t find a calculator who can handle the big numbers involved in the the calculation and I lack the math skills to solve the calculation in a different way. $\endgroup$ 1
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