Probability Simulation & Monte Carlo
📋 What it is
When odds are too hard to calculate, you can SIMULATE many random plays and count the results ("Monte Carlo").
🗣️ Coach says
Some game questions are too tangled to solve by hand — like "how often does this card combo win?" The trick: SIMULATE. Run the random situation many, many times (by hand or computer) and count how often each result happens. This "Monte Carlo" method estimates probabilities you couldn't easily calculate.
🧠 Memory hook
Too hard to calculate? Simulate it many times and count. That's Monte Carlo.
😂 Giggle
Why did the playtester bring a notebook to game night?
Because every game deserves a second draft!
😲 Whoa!
The "Monte Carlo" method is named after the famous casino city — because, like a casino, it relies on lots of random trials to reveal the true odds.
✅ Quick check: What is the "Monte Carlo" way to estimate a probability?
Say your answer out loud first — then reveal.
Simulate the random situation many times and count how often each outcome happens — the proportion estimates the true probability.
Repeated random trials approximate a probability that's hard to compute directly.
🧪 Try it! (2 minutes)
Simulate a tricky dice question by rolling 30 times and counting the wins — that estimate is Monte Carlo.