Here is a simulation of a gambler's ruin process.

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This applet simulates a gambler who repeatedly bets $10, until he either loses by going broke, or wins by doubling his initial fortune (Init). The probability of victory in this "gambler's ruin" game is known to be

[((1-p)/p)^(Init/10) - 1] / [((1-p)/p)^(Init/5) - 1]
(where p is the win probability of each individual bet), which is very small if p < 0.5 and I is large. [If p = 0.5 then this formula does not apply; in that case the probability is of course 0.5.]

The applet accepts the following keyboard inputs. (You may need to "click" on the applet first.)



Applet by Jeffrey S. Rosenthal (contact me).

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