St. Petersburg Paradox

Logic Level 1

The St. Petersburg paradox is a theoretical game first proposed by Nicolas Bernoulli, in which you pretend that you are a player in a casino playing a special coin toss game.

The casino starts with a guaranteed payout to you of $2. The game proceeds using a fair coin, tossed in succession until it flips a tails. After each flip where the coin is heads, the casino doubles the pot. So, if a tails appears right at the first toss, you get $2. If a tails does not arrive until the second toss, you win $4. If a tails arrives on the third toss, you win $8, and so on.

The challenge is that you have to pay some amount of money to be allowed to play this game. If you were the player and were told to act completely rationally, considering only the expected payout, and the casino places no limits on the maximum payout, what is the maximum amount you should be willing to pay to play this game?

No more than $8 No more than $32 No more than $99 No more than $100 Any finite amount of money

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2 solutions

This is a counter-intuitive paradox, like many other common misconceptions . The correct answer is that you should be willing to pay any finite amount of money, yes even $1,000,000,000 (presuming you have that much), to play this game. This is because of the average payout for players of this game is \infty .

Here's how that works: Tails landing on the first toss has a 1/2 odds of occurring, on the second but not the first toss has a 1/2 of 1/2, or 1/4 odds of occurring, on the third toss, but not the first or second tosses is 1/8, and so on. But the pot rises equally. So the average payout in 1/2 the cases is $2, in 1/4 the cases is $4, in 1/8 the cases is $8, and so on. This can be expressed as:
P = ( 1 / 2 × $ 2 ) + ( 1 / 4 × $ 4 ) + ( 1 / 8 × $ 8 ) + . . . P = (1/2\times\$2) + (1/4\times\$4) + (1/8\times\$8) +... or
P = $ 1 + $ 1 + $ 1 + . . . . = P = \$1 + \$1 + \$1 +.... = \infty

However, this paradox fails to take into account the utility of the game or behavioral economics . The problem states to only consider the expected value, but this leads you to taking a risk (for instance paying $1,000,000,000) that no actual person would accept. Economists are still debating what the right price to pay is, given utility, and a decision that considers more that the average payout.

This is a fun question to think about, but I suppose that there is something of a disconnect between the conditions "act completely rationally" and "considering only the expected payout". While the expected payout is infinite, there is over a 98% chance that the actual payout is 32$ or less, so I doubt that the average person would be willing to pony up more than that amount, (as @Michael Mendrin estimates), and probably would risk much less. It would be interesting if a casino were to try such a game, experimenting with varying buy-in amounts to see what value is best for their bottom line. I would definitely give it a try at $5, might be willing to go at $10, but definitely not at $20.

Brian Charlesworth - 4 years, 8 months ago
Michael Mendrin
Mar 30, 2016

I should be willing to pay no more than n n dollars if the maximum that the casino is prepared to shell out is 2 n {2}^{n} . No point in putting up more if the casino can't pay. So, typically, that would be about twenty bucks or so, such as "No more than $32" if the casino is unable to pay more than about $4 billion.

Is 2 the factor by which a casino might be have such money? For example, comparing Sands in Bethlehem PA at b^n where b = 2 and WinStar World Casino (most popular) in OK at b = 3.

Nick Silva - 1 year, 8 months ago

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