Volatility and loss tolerance

Two games with similar theoretical return can distribute outcomes very differently.

What is happening

Higher volatility concentrates more modelled value into less frequent outcomes. Short sessions can therefore vary widely around the long-run model.

Good analysis separates the visible cue from the underlying event. Identify what starts the event, what it costs, which states can persist, where the rules reset and what evidence describes the distribution.

Where judgement slips

People give more weight to large, recent and vividly animated outcomes. A game interface can intensify that bias by showing near-misses, progress markers or selected history. None of those cues changes what the next independent result owes.

Evidence hierarchy

A current help file or certified configuration can support a mechanical claim. Provider marketing can describe a feature but not its consumer value. A stream or personal session can demonstrate interface behaviour, not long-run return.

See the signal in context

Book of Dead is mapped to this pattern. Each file preserves edition and source boundaries.