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A warm workshop with wooden tables, blocks and an abacus, a tween laying simple blank cards in neat rows to test which method works more often

Solitaire Lab

Does a rule change make solitaire easier? Don’t guess — test it on real deals.

📊 Run an experiment →

How the lab works

  • 🔮 Predict first. Pick which rule you think wins more deals — before you look.
  • 👯 A fair test. Every deal is played BOTH ways, so the only difference is the rule.
  • 🔍 A solver that never lies. Each deal is proven won, proven lost, or marked not sure yet when the search runs out of time.
  • 📏 How sure are we? You get an “at least … at most …” range and a 95% interval — more deals make it narrower.

Most experiments use “thoughtful” Klondike: the solver can see every card (the way researchers study it), drawing one card at a time. The free-cell experiment uses FreeCell, where every card is face-up for real — so a “lost” there means no player could ever win that deal. Download your results as a table for a chart.

Everything runs on your device — no accounts, nothing sent anywhere.

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Where this game comes from· McNemar, 1947

Patience (solitaire)

The oldest description we know of is in a German book of card games from 1788. Patience was popular across Europe by the 1800s, and the first English book of patience games was Lady Adelaide Cadogan’s, around 1870.

One thing to hold: In 1990 Windows 3.0 came with a Solitaire game written by Wes Cherry, a student working there for the summer. It was often said to have taught a generation to drag with a mouse.

Why it matters: Most patience games are about planning several moves ahead with cards you can only partly see.

What we don’t know: Nobody knows who invented patience, or where. The story that Napoleon played it in exile is a legend.

Sources: David Parlett, A History of Card Games (1991) · David Parlett, The Penguin Book of Patience (1979)

The paired test (McNemar, 1947)

In 1947 the psychologist Quinn McNemar showed how to compare two percentages measured on the same people, or the same things, twice. Only the cases where the two answers differ tell you anything.

One thing to hold: The lab plays every deal under both rules. A deal both rules win, or both lose, says nothing about which rule is better; the test counts only the deals where they split.

Why it matters: Comparing the same deals both ways cancels out lucky and unlucky deals, so a smaller experiment can show a real difference.

Sources: Quinn McNemar, “Note on the sampling error of the difference between correlated proportions or percentages”, Psychometrika 12 (1947)