Spot what a system actually does. Ten questions on MartingalestrategyMartingaleProgression that doubles the bet after each loss. See the Strategy section for what it does and does not do.Read full →, ParolistrategyParoliPositive progression: double after a win, reset after a loss or after three wins in a row. Also: reverse Martingale.Read full →, D’Alembert, LabouchèrestrategyLabouchèreCancellation system: write a line of numbers, bet the sum of the two ends, cross them off after a win, add the lost stake after a loss.Read full → and the rest, from a pool of fifteen.
Short answer
Each question describes a rule or an outcome and asks you to name the system or say what it changes. The honest answer to the last one is always 2.70%.
questions
10 of 15
pass mark
8
systems covered
8
systems that beat the edge
0
Scoring
10: you have read Thorp.
8–9: you can explain to a friend why their system is not working.
5–7: you know the names; the Strategy section has the arithmetic and a simulator for each.
Under 5: read Can You Beat Roulette? first. It is one page.
What the quiz is testing
Not whether you can follow a staking rule, which anyone can, but whether you know what the rule changes: the shape of a session, the size of the rare loss, the turnovermoneyTurnoverThe total amount wagered over a session or period, counting re-bet winnings. Also: handle, action.Read full →. None of them changes the price per dollar. The Demo Game lets you run every system a thousand times to see it.
Questions
Why no question about which system is best?
Because the answer is “the one with the smallest turnover”, and that is a bankrollmoneyBankrollThe total amount set aside for play. Bankroll management is deciding how much of it to risk per bet and per session.Read full → question, not a system question.
Where are the simulations?
Every strategy page has a histogram of 2,000 sessions, and the Demo Game runs any of them live.
Comic relief
Eight systems. One number.
Sources
Thorp, E. O. “Optimal gambling systems for favorable games.”Review of the International Statistical Institute 37(3), 1969.
