Start here · Essential guide
How Computers Generate Random Numbers
A plain-language overview of how software produces numbers that behave randomly: algorithms, seeds, physical entropy, testing, and where the limits lie.
Chance and Probability
Randomness and Generators
How random numbers are produced, tested and used.
Common Misunderstandings About Randomness
Why random does not mean evenly spread, why machines never catch up, and how streaks, patterns and hot or cold ideas mislead our intuition about chance.
Entropy Sources: Where Unpredictability Comes From
Learn which hardware noise and system events give random number generators their unpredictable input, and why raw measurements need careful processing.
How Randomness Is Tested for Fairness
An introduction to the statistical test suites that look for bias and patterns in generator output, and what passing or failing such tests does and does not show.
Mapping Random Numbers to Outcomes
How raw random numbers become dice rolls, cards and weighted categories, and how careless conversion such as modulo bias can skew the intended odds.
Period Length and Repeating Sequences in Generators
Every algorithmic random number generator eventually repeats. See what period length means, why modern generators make repetition irrelevant, and where it can matter.
Pseudorandom vs True Random Numbers
Compare algorithmic generators with physical randomness sources, what each is good at, and why the difference rarely matters for games but sometimes does for security.
Randomness in Video Games Beyond Gambling
How ordinary video games use random numbers for loot, maps and combat, and why that differs from wagering money on an uncertain outcome.
Shuffling a Deck Fairly: The Algorithm Behind It
Walk through the Fisher-Yates shuffle and see why naive swapping methods produce biased card orders, with checked counting examples and no betting claims.
What a Seed Value Is and Why It Matters
A seed is the starting value of a pseudorandom generator. Learn why it makes sequences repeatable, why weak seeds are guessable, and how good seeds are chosen.
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