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The Role of Probability in Casino Games: A Tutorial
A plain tutorial on outcomes, independence and combinations, with hand-checked examples showing how basic probability describes casino games of chance.
How Games Work
Probability, house edge and expected value explained.
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A plain tutorial on outcomes, independence and combinations, with hand-checked examples showing how basic probability describes casino games of chance.
A framework for comparing casino game types by house edge, pace and variance, with hypothetical numbers, and why it cannot tell anyone which to play.
How payout ratios, return to player and true odds fit together, explained with simple invented numbers and no claimed data or results.
How to convert between fractional odds, ratios, decimals and percentages, with hand-checked hypothetical examples and common pitfalls in reading odds.
What house edge means, why it differs between game types, and why even a low edge still means an expected loss, with no game ranked or recommended.
A simple hypothetical blackjack hand used to explain expected value and the risk-reward trade-off, with no claim that any play beats the house.
A plain explanation of standard deviation as the spread of results around the expected value, using a simple hypothetical series of roulette-style bets.
Bluffing as a game theory idea in player-versus-player poker, with a simple hypothetical example, plus why it cannot beat chance games and how rake works.
How games decided by chance differ from games where decisions matter, and why skill can reduce but not remove the house edge. No data is claimed.
How the 36 equally likely two-dice combinations produce the probabilities behind craps bets, and why each bet carries its own house edge.
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