The problem I'm contemplating is the following, perhaps a basic question.
We have $52$ cards. The probability of picking a diamond card is $13/52 = 1/4$.
Now, we are picking one card out of $52$ cards.
If we know the picked card is a diamond card, the next probability of picking a diamond is $12/51$ or $4/17$ or $0.235\ldots$
However, if we don't know anything about the picked card. What will be the probability of picking a diamond card from the $51$ cards?
If we are to calculate this probabilities by summing this way,
$$P(\text{second card is a diamond} \mid \text{first card is a diamond}) \cdot P(\text{first card is a diamond}) + P(\text{second card is a diamond card} \mid \text{first card is not a diamond}) \cdot P(\text{first card is not a diamond})$$
It equals to
$$\frac{1}{4} \cdot \frac{12}{51} + \frac{3}{4} \cdot \frac{13}{51}$$ which equals to $0.25$.
How does not knowing the card increase the probability? Can someone please explanation the intuition for this to happen?
Also, why are we adding two probabilities, only one of them is true, right?