A 78-Card Tarot Deck Checklist: Missing, Duplicate and Bonus Cards
Count each required identity, then account separately for duplicates, edition-specific extras and unresolved labels.
Choose the exact drawing question
Six guides help you check the card pool, define the draw rules and choose the event you actually want to count. A model calculation does not establish a card’s cause, an app’s fairness or a future event.
A physical inventory determines the inputs; it does not certify random selection.
Count each required identity, then account separately for duplicates, edition-specific extras and unresolved labels.
One group count and simultaneous coverage of four groups are different events.
Count zero, one, two or three Majors under explicit uniform without-replacement rules.
In a uniform four-card draw without replacement from the 78-card reference, all four Minor suits appear with probability 2.693166%. With five cards it is 8.734594%. Drawing only from the 56 Minors is a different experiment. Count Major cards separately instead of assigning them a suit.
Next matches, reset-spread intersections and consecutive runs need their own procedure and event.
Distinguish next matches, named-card events, whole-window matches and any identity repeat.
Two independently reset three-card spreads from a uniform 78-identity pool share at least one identity with probability 11.240076%. The same three names in any order and the same three assigned positions are smaller, different events. State the reset rule before comparing them.
Under a uniform 78-identity independent replacement model, the chance of a length-three run somewhere in seven picks is 0.081332%. This differs from all seven matching or any identity repeating. Overlapping candidate windows require a count that avoids double-counting.
Record the available identities, replacement within a draw, reset between spreads and the event window. Uniformity and independence are model assumptions unless established for the actual selection process.
Use the complete worked counts and cases to understand the model. Keep an observation separate from an optional creative association, and use real information for consequential decisions.