Hello, I like money
NOTE: This blog was written in December 2022 in Medium but I republished it to Dev.to as i planned to migrate for my future writing
Editorial Note from the original post:
from the simulation itself, the loss is usually more than the win but I have a bad way to count how much they win and how much they lose and I need to repair this in the future.
but the logic behind the game itself is more or less correct, if anyone saw the flaws please tell me in the repo.
Backstory
So a few days ago my mom talk to me about how one of the neighbors borrowed money for ‘allegedly’ gambling online slots, and I naturally thought “How in the hell do people borrow money to lose it”, and since I always learned since I was little how bad gambling for ourselves, but in another side, I was fascinated in its economy and also the math of probability, heck it’s maybe one of my favorite branch of math(even though I don't really like math).
Simulating Gambling in Python
There are tons and tons of forms of gambling out there, some of them are “Skill-based” like poker, blackjack, and most card-based games out there, and the others are pure chance like slots, roulette, and pachinko(mechanical gambling in japan).
I want to simulate Roulette, more specifically European roulette where it has only one zero compared to the American counterparts where it has 0 and 00. This way the house edge (a mathematical advantage that the house has compared to the player) is lower than if we use American style Roulette to see how much the house will earn from such a small house edge, also its easier to code hehe
What’s Roulette tho??
According to its Wikipedia page, Roulette is a casino game named after the French word meaning little wheel which was likely developed from the Italian game Biribi. In the game, a player may choose to place a bet on a single number, various groupings of numbers, the color red or black, whether the number is odd or even, or if the numbers are high (19–36) or low (1–18). The odds and the payout will depend on the bet the player placed, the broader the bets the better the odds they'll earn but the lesser the payout.
and how to calculate how much house edge of a game?
Since it's European Roulette, let's say the player places a bet on a single number then there is a 36 in 37 chance that the bet will lose and a 1 in 37 chance that you will earn 35 times your bet, so the house edge will be like below.
−1 × (36⁄37) + 35 × (1⁄37) = −0.0270 or 2.7% in favour of the house.
If it's American or heck, there is roulette with triple zeros, the house edge will naturally be higher so, in general, will have a bigger profit compared to the European one.
That's a general idea of Roulette, I will use Python to simulate how roulette works, and see how much they'll earn(or lose) and also how much the house will make.
Top comments (15)
Diving into the analytics of gambling with Python to prove "the house always wins" is super intriguing! It's a fantastic application of programming skills to explore real-world scenarios and debunk or confirm long-standing theories. The insights from the simulation, despite the noted counting issue, contribute valuable perspectives to the understanding of gambling dynamics. On a related note, for those interested in exploring the world of gambling further, especially from a legal and structured standpoint, checking out legal casinos can offer both an educational and entertaining experience. For those interested in the gambling scene, https://pl.kasynopolska10.com/legalne-kasyna/ is a great resource for finding legal and regulated casinos. It’s always fascinating to see how different countries regulate gambling and the impact of those regulations on both the house and the player.
I’ve played around with roulette simulations too just out of curiosity, trying to see how randomness and the house edge actually play out over large sample sizes. The Python approach helps put hard numbers on that “house always wins” idea, but it’s so easy to overlook things like how you tally wins and losses, especially with multiple bet types in play. European roulette still gives you slightly better odds, but you're mostly just slowing the bleed, not reversing it.
Lately, I’ve been testing bonuses tied to certain slots instead, where at least you get some extended gameplay out of it. I was messing around with the gonzos quest bonus and actually enjoyed how the Avalanche feature changes up the pacing.
This is a really cool way to demonstrate how the house always wins in gambling, especially when you break it down using Python. It's kind of like a game of blackjack or roulette where no matter how much you play, the odds are stacked against you in favor of the casino. But that's also what makes it so thrilling! Speaking of casinos, if you're ever looking for a great place to try your luck, check out casinoly - It's got everything from slots to poker to live betting, with amazing free spins and huge jackpot opportunities. Whether you're a seasoned pro or just starting out, the variety of games and bonuses make it a solid choice for anyone looking to dive into the action. It’s the perfect place to test your skills and, who knows, maybe you’ll beat the house!
I messed around with a Python simulation of European roulette last year too. I was curious how fast the losses add up when the house has even a tiny edge. After a few thousand iterations, it was clear that staying in the game longer just drained your balance slower. it never really turned around in the player’s favor. What helped me visualize it better was tracking streaks and average bet outcomes, which made me realize that even “close to break-even” strategies still lost over time.
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Attempting to prove through Python that “the casino always wins” is a great way to look into the mathematical essence of gambling. And although statistics are often on the casino's side, in the world of social casinos, such as sixty6 , the focus is completely different: here, everything is built around emotions, social competition, and the enjoyment of the game, rather than monetary winnings. So even if the script shows the casino's advantage, on platforms like sixty6, you simply enjoy the process without unnecessary bets.
This is an interesting exploration of gambling simulation! It's fascinating to see the mathematical and probabilistic aspects of roulette broken down so clearly. I appreciate the effort you put into creating the simulation and explaining the house edge so well.
I've recently been exploring similar simulations in game apps like Bdg Win. The platform offers various games that also delve into probability and chance, making it a great way to understand the mechanics of gambling while having fun. Your Python simulation could add a unique perspective to BDG Win's gaming experience. Keep up the great work, and thanks for sharing your insights!
good
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