I want to change my answer to the one snark1100 gave, 4/5.
What this question is really asking by “What is the probability your card is black?” is, “what is the probability your card is black
given that you have successfully picked 9 other cards which were red?”
The actions of the dealer, who knows which cards are which, are of no consequence.
Here’s why I think the answer is 4/5:
After you have chose your card, there are equal probabilities (12/24 = 1/2) that you have chose a winning black card, or a losing red one.
If you have chose a winning black card, the probability A of then choosing 9 consecutive red cards is

.
If you have chose a losing red card, the probability B of then choosing 9 consecutive red cards is

.
So, given that you
have chosen 9 consecutive red cards, the probability that you’ve won is

(sparing the tedious but convenient factoring and canceling steps)
It’s a pretty cool illustration of conditional probability. Up to drawing 12 cards after your initial choice, the more unlikely the probability of having drawn those cards, the more additional information about your probability of winning you gain. Drawing 9 red cards is pretty (about 0.03%) unlikely, so you gain a lot of information. Drawing 10 or 11 red cards gain even more, telling you your probability of winning is 6/7 or 12/13. Drawing 12 red cards, of course, tells you your probability of winning is 1.
If the game’s rule were expanded a bit, you could make it a game of skill. Say the game works as follows:
- You chose (removing it from play) one card from a deck of 12 black and 12 red cards
- A predetermined number of cards (N) are turned up at random, revealing their colors
- Based on this information, you choose how much to wager (W)
- The card you chose is turned up, revealing if you won (black) or lost (red).
- If you lose, you pay the house W
- If you win, the house pays you W*G, where G is the game’s “payoff odds”, determined in advance by the house
Here’s a fun question: for a particular value of N, what should G be for the house to expect to exactly break even against a player who’s a perfect mathematician? Keep in mind that, most of the time, the turning up of N cards won’t gain the player much information on which to base a mathematically correct wager.
The answer to this question when N=0 is trivial: G=1. Without any cards turned up, the player has no information on which to base their wager, so the expected value of the game is

.
Do there need to be any additional rules for it to be
possible to determine the "fair" G for a given N?
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