The St. Petersburg Paradox
I have been to Vegas at least ten times, and have never gambled a dollar. I do not actually begrudge anyone that goes into a casino and treats it for what it is, entertainment, but that has never appealed to me.
What has always interested me, however, is gambling-related paradoxes, and here we actually have two of them: the St. Petersburg Paradox and its corollary, the Martingale Game.
The St. Petersburg Paradox describes a game that, despite its infinite expected value (EV), nobody would reasonably pay much to play. The classical game is simple: the pot starts at $2, and on a heads the pot doubles and on a tails the pot pays out.
The EV is a simple divergent series: 1/2 × 2 + 1/4 × 4 + … + 1/2N × 2N. This is chosen because it simplifies to 1 + 1 + 1 + … + 1, though my version starts from a $1 payout, so the series is instead 1/2 + 1/2 + 1/2 + … + 1/2. While half as quick, the effect is the same: its expected value is infinite, and therefore ANY real number would be a reasonable amount to pay to play this game. However, in a world where no one will ever see 1,000 flips of heads in a row during their lifetime, there are practical limits to how much anyone should be willing to spend before choosing to flip.
From my playing the ‘half as good’ version, $5 from $50 has a reasonable chance of hitting a sufficient fat-tail payout that stabilizes your bankroll and allows you to play indefinitely, but $10 from $100 will almost certainly bust.
1,000 sessions of $5 tickets from $50: the bankroll after every ticket (log scales)
Where each session stood after 1,000 tickets
The survivors’ best ticket
The numbers
the first tails lands on flip n with probability 1/2n, and that round pays $2n−1
The Martingale Game, or betting system, is one that is rumored to have bankrupted casinos before there were table limits, but that is probably apocryphal.
Imagine we are in a casino that has infinite money, and we have infinite money. Well, in this world I have a strategy for you that will always pay out N dollars, whatever you want to win. The system is simple. Start by betting N dollars in a game that pays out double your bet and, we will round up and say, has 50/50 odds. When you win, you net N dollars; when you lose, double your bet.
Payout equals the total bet + N. If you start betting 1 dollar and lose 6 times before winning, that is 1 + 2 + 4 + 8 + 16 + 32 = 63, with the final payout being 64. 64 − 63 = 1 (or N). The problem with this system comes in, in that your EV becomes 0 the moment you bound the number of times you can double on your losses, because the net winnings will, on average, exactly cover a scenario of ruin when you can no longer double.
N = the opening bet, k = losses before the first win, P = the probability of exactly that run