TITLE: Does probability depend on knowledge?
QUESTION [2 upvotes]: There is at least $2/3$ probability that this question is rather silly, but being an almost absolute beginner in Probability, I will ask it anyway.
Consider the following problem, proposed at AIME 2014:
Charles has two six-sided die. One of the die is fair, and the other die is biased so that it comes up six with probability $2/3$  and each of the other five sides has probability $1/15$. Charles chooses one of the two dice at random and rolls it three times. Given that the first two rolls are both sixes, find the probability that the third roll will also be a six. 
Now, the answer is $65/102$, but consider a slight variation to the problem: suppose that the fair die is very rough and the other one very smooth, so that Charles knows which one he has chosen as soon as he touches it, but he does not tell me. So, if I calculate the probability that on his third roll it will be a six, my answer will be $65/102$. Charles on the other hand knows that the probability is $2/3$ (or $1/6$ if he's picked the fair one). 
Therefore it seems that we will come up with different probabilities for the same event depending on our knowledge of that event. How is this possible?

REPLY [1 votes]: Of course knowledge affect probability, in fact probability is just studying the chances of something that we don't know all the information so we look at all the possibilities, when we obtain more information we can discard more possibilities so probability changes. For example if I flip coin there is a 50% chance of getting each side, however, if we study the initial position of the coin and all the forces that act while i flip it we can know for sure which side of the coin we will get.
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