Fundamentals 5 min read

Why 50% Odds Still Lead to Massive Gambling Bankruptcy? A Python Simulation

A Python Monte‑Carlo simulation of a daily dice‑betting game shows that even with a 50% win rate per round, 83% of gamblers go bankrupt within eight years, highlighting the randomness of gambling profits and the near‑zero chance of beating the casino.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Why 50% Odds Still Lead to Massive Gambling Bankruptcy? A Python Simulation

Experiment Overview

On Zhihu a question asks why, despite a 50% win rate per round, many gamblers go broke. To explore this, we built a Python simulation of a dice betting game.

Experiment Idea

Game: dice "big or small", one round per day, ends when the gambler loses all money or the casino closes.

After three consecutive losses the gambler raises the bet by 50%.

The gambler starts with 1,000,000 yuan and bets 20,000 yuan each day.

If bankrupt, the gambler borrows high‑interest loans (estimated monthly rate 5%).

The loan is repaid the next day, assuming a "disciplined" gambler.

Test Steps

1. Create characters

Casino

This is a reckless gambler

2. Create betting round

We use dice instead of cards.

Below is the function implementing the betting round:

Run 100 rounds for a man.

Record daily wins/losses and check for bankruptcy.

3. Data Statistics

Simulating 1,000 gamblers, 167 survived (3 lost, 164 profited) while 833 went bankrupt, an 83.3% bankruptcy rate. The distribution of bankruptcy times is shown below.

Profit of survivors after eight years:

The richest survivor earned 12.5 million yuan; only six earned over 10 million.

Using an estimated 13% annual inflation, the 12.5 million profit after eight years is equivalent to about 5.53 million today.

Conclusion

Bankruptcy rate reaches 83.3%; half go broke within a year.

Gambling profit is random and low; it is not a reliable way to get rich.

The chance of beating the casino is essentially zero.

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simulationprobabilityMonte Carlobankruptcygambling
MaGe Linux Operations
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MaGe Linux Operations

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