A man tells me he can perfectly predict a coin toss. I think the probability of that being true is $P(A) = 2^{-16}$, where A is the event that the man is psychic and can perfectly predict the coin toss. If not, the coin is fair and the man has a 50/50 chance. $C_k$ denotes the event where coin toss number $k$ is predicted correctly.
What do I think the probability that the man can predict the first two coin tosses is?
So for the first coin toss I thought if the man is psychic, he will 100% predict the coin, if not, he has a 50% chance, so: $$ P(C_1) = P(A)\cdot 1+(1-P(A))\cdot0.5 $$ I would think that $C_1$ and $C_2$ are independent and the probability of predicting a coin is the same, no matter what toss it is, so $P(C_1 \cap C_2) = P(C_1)\cdot P(C_2) = P(C_1)^2$.
But I can also think like this, if the man is psychic, he has 100% chance of guessing correct twice, otherwise the chance is $0.5^2$: $$ P(C_1 \cap C_2) = P(A) + (1-P(A))\cdot0 .5^2 $$
These two are not equal so I am wondering where I go wrong