Ask The Wizard #244
When it comes to pai gow and pai gow poker, is it accurate that there’s no cap on player bets during banking? What occurs if a player or a group wagers more than the banker can handle?
To address the second query first, the banker must possess sufficient chips to cover all the bets placed. If they lack this amount, the dealer will offer them the option to purchase more chips or relinquish their banking turn.
Regarding the first question, the established table limit still holds when a player acts as the banker. It may seem beneficial to allow unlimited betting since the casino would gain a 5% cut from larger amounts. I inquired at three separate casinos, and here’s a summary of their responses, in the order I received them:
Casino 1: Approval from the Gaming Control Board is required to raise the maximum bet, and this cannot be done on short notice.
Casino 2: The Gaming Control Board is irrelevant in this scenario. Instead, any increase in the maximum bet must be authorized by a vice president of the casino, which is typically reserved for valued customers.
Casino 3: There’s no need for Gaming Control Board approval to increase the maximum bet at a table. My source mentioned they had never encountered a situation where unlimited bets were allowed with player banking and added that, theoretically, the casino has no risk, so there shouldn’t be a reason to prohibit it.
In my extensive experiences playing pai gow, I've never witnessed anything resembling this situation. Players generally prefer not to bet against one another, and the maximum bet limits are typically high enough that players rarely exceed them, regardless of who’s banking. However, if instances like this occurred frequently, I believe casinos would reconsider their policies to permit unlimited betting.
This topic was previously raised and debated in the forum of my affiliate site. Wizard of Vegas .
What impact does the house edge in blackjack have if splitting ace cards is the only option?
The outcome hinges on other game rules, but if we assume a six-deck game with doubling allowed after a split, then the house edge would increase by only 0.39%. If doubling is not permitted after splitting under normal circumstances, the increase would be just 0.24%. This scenario is relevant in my experience with a single-deck game, where I notice a 0.33% chance. Bear in mind, these blackjack figures can vary slightly by around 0.03% based on the analytic methods applied. Triple Shot I spotted a progressive jackpot of $1 at a Michigan casino that was calculated based on the flop combined with the player’s two hole cards. The payout structure is as follows:
This topic was previously raised and debated in the forum of my affiliate site. Wizard of Vegas .
The jackpot return for an amount 'j' is determined by the formula 0.530569 + j×0.029242. To illustrate, if j equals 105,000, the return would be 83.76%. More details can be found on my corresponding webpage.
Royal flush: 100% of jackpot
Straight flush: 10% of jackpot
Four of a kind: $300
Full house: $50
Flush: $40
Straight: $30
Three of a kind: $9
What would be the odds on a $105,000 jackpot?
When I’m waiting for my bags at the airport carousel, I know that the more bags I have, the longer I will have to stand there until all of them are retrieved. For just one bag, I might only need to wait for about half the bags to appear. If I have two bags, my wait increases; with three, it becomes even longer. Given that my bags are mixed randomly with the others, what would be a general formula to estimate the wait time for all my bags, based on how many I have and the total number? Ultimate Texas Hold ’Em .
Let’s first establish some variables for clarity:
As the total number of bags grows, the expected wait time approaches the formula b×n/(n+1). For a large aircraft, this approximation will serve you well. However, the exact answer is given by the formula (b,n)-(sum for i=n to b-1 of combin(i,n))]/combin(b,n).
n = number of your bags
b = total number of bags
For instance, if there are 10 bags total and four of those belong to me, the expected waiting time would equal [10×combin(10,4)-combin(4,4)-combin(5,4)-combin(6,4)-combin(7,4)-combin(8,4)-combin(9,4)]/combin(10,4), resulting in approximately 8.8 bags.
[b× combin The number of combinations to select n bags from b total bags is represented by combin(b,n). Therefore, the likelihood that all your bags come out within the first x bags can be expressed as combin(x,n)/combin(b,n). The chance that your last bag to arrive is the x-th bag is calculated by (combin(x,n)-combin(x-1,n))/combin(b,n), where x is greater than or equal to n+1. If x equals n, it is simply 1/combin(b,n).
Consequently, the ratio of the expected wait time to the overall waiting period is determined by the formula:
(b-1)×(combin(b-1,n)-combin(b-2,n))/combin(b,n) +
Solution:
Utilizing a telescoping summation, this expression can be simplified to:th[b×combin(b,n)-combin(b-1,n)-combin(b-2,n)-..-combin(n,n)]/combin(b,n).
A reader later commented that this result could be simplified further to n×(b+1)/(n+1). This can be verified through induction, a valid method, albeit one that tends to leave me feeling unsatisfied emotionally.
n×combin(n,n)/combin(b,n) +
(n+1)×(combin(n+1,n)-combin(n,n))/combin(b,n) +
(n+2)×(combin(n+2,n)-combin(n+1,n))/combin(b,n) +
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b×(combin(b,n)-combin(b-1,n))/combin(b,n)
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This topic was previously raised and debated in the forum of my affiliate site. Wizard of Vegas .