Roulette simulation: 10'000 players each betting 5'000 times (74% chance of having a negative return ) [OC]
Submitted by nautilus_red t3_y1aw8v in dataisbeautiful
for the figure on the right, is the x-axis title correct? Or should that be the number of people?
Frankly, I'm surprised roulette single number betting doesn't zero out faster. The odds are 37 to 1 (or perhaps 36 to 1) against winning. (Payout is 35 to 1). Still, a fairly nice profit for the house. Hundreds of people losing thousands of dollars.
The house edge on double zero roulette is 5.26%, regardless of bet. So they expect to win $5.26 for every $100 wagered.
What if I only put my money on zero?
Same house edge. 5.26%
Ah it should be # of people you're absolutely correct.
I was also surprised that almost 25% walked away with a profit. Always good to run a simulation to detect such counterintuitive things.
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FYI: I ran the simulation with 25'000 bets per person and there is still a probability of above 6% to walk away with a positive return.
> 25'000 bets per person and there is still a probability of above 6% to walk away with a positive return.
and that is exactly the hook. The thing that makes gambling more addictive than crack heroin.
It's not the green that fucks you up, it's the payout. Payout should be 36 to 1 for a fair(er) game. When you set it at 35 to 1, that's giving the house another advantage other than the green. Good to know.
Huh. In roulette, the green spot is pretty brilliant as it’s the “reasonable” explanation for being the odd man out on of the bets (not in: thirds, half, color, parity, corner betting, etc), so it’s incorporation fixes all those bets so they can have the otherwise “expected payout”- some house edge, but it doesn’t solve the single number payout issue, so they have to lower the payout for that bet. As it’s so high it seems reasonable. Neat
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