Quote from: ONM on November 15, 2016, 09:03:02 AM

Quote from: JackpotRacer on November 15, 2016, 08:42:05 AM

Quote from: ONM on November 15, 2016, 08:26:15 AM

Quote from: JackpotRacer on November 15, 2016, 08:05:42 AM

Quote from: ONM on November 15, 2016, 07:51:52 AM

Quote from: JackpotRacer on November 15, 2016, 07:41:38 AM

lets take the 10k bits bet as an example
https://www.moneypot.com/bets/640260805

lets do the math or better you do it

Probability to hit the JP is 0.0003998866304755211% equals to a chance to hit the JP 1 in 250 070 bets

player will hit JP in average once in 250 070 bets

JP is wager (10k bits) x 2 000 = 20 BTC

now the most important part is (IMO) the math 10 000 wager x 250 070 = ?

and then please do the math and find the result for 2% HE

I get 2% HE is ~50 BTC (50014000) expected profit for app owner and MP/Investors.

split is 50% so app owner gets ~ 25 BTC and MP/Investors get 25 BTC

MP/Investors pay out the 20 BTC JP so it is still +EV

from players view it is that he did a nice turnover of 10 000 bits wager x 250 070 = ? with 2% HE and get back in average 20 BTC JP

please correct me if I am wrong

imo a very confusing JP set up and we will try to find another JP for our sweeper

You're forgetting about the ~96% of the time that the player wins 125 bits.

imo it is not the question if a player win or lose a bet. it is the 2% HE tha counts. lets take a simple example and a player wagers 1000 x 100 bits with a 2% HE

player wagered 100k bits and a la longue each 100k turnover he loses the 2% HE = 2000 bits

or did I misunderstood your answer thx

I'm trying to understand your confusion. It seems like you don't understand how house edge works? In the bitsweeper, there are three different outcomes: either the player wins a small amount, the player wins an extremely large amount, or the player loses his wager. To adjust the house edge, you just change the frequency/likelihood of those events.

If a player wagers 1000 bits 100 times, he will theoretically end up with 2000 less bits than he started with (assuming the house edge is 2%).

I understand how HE works

and you are confirming it with
If a player wagers 1000 bits 100 times, he will theoretically end up with 2000 less bits than he started with (assuming the house edge is 2%).

maybe I dont understand the sweeper HE implementation

user @Bunt said that each click is a new bet and if he is right and IMO he is right
then each bet with 2% HE has its own math and each bet with 0.2% HE has its own math namely according to the sample you agreed on

If a player wagers 1000 bits 100 times, he will theoretically end up with 2000 less bits than he started with (assuming the house edge is 2%).

what is your opinion regarding this JP set up? is it a good one? as I mentioned before we are looking for a good JP set up for our sweeper

thx for bearing wth me

Each click is a new bet, yes. If I bet 1000 and win 12.5 and click on another square, I'm now betting 1012.5 on that next click.

My opinion is that a 2% house edge is way too high and I personally don't like the 1-in-250k jackpot structure. It's so infrequent that it'll realistically never hit (for any individual) and because of that drives the effective house edge up even more. I'd much prefer a jackpot that hits in the 1-in-1000 to 1-in-10000 range.

thx for your JP set up feedback.

lets take your proposal of a JP that hits 1 in 1000 bets. to me this JP would hit much to often and would not allow an attractive JP Prize

lets say player wagers 1000 x 1000 bits with a 1% HE= wager is 1 000 000 bits = app owner and MP/Investors split 1% = 10 000 bits is 5000 bits each side

what should app owner give as a JP prize in case he pays JP like bit exo is doing?
what JP Prize should MP/Investors give?

if each side gives 5000 bits JP Prize they did not earn 1 satoshi

what would be an acceptable JP Prize for this scenario in your opinion?

sure we could do the same for 1 in 10 000 bets chance to hit JP as your 2nd example and we get all numbers x 10

thx again