Prove or disprove two simple statements on conditional probability

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STATEMENT 1:

if $P[A|B]=P[B]$ then $A$ and $B$ are independent.

My attempt:

Assuming that $A$ and $B$ are independent then, since $P[A|B]= P[B]$ is possible only if $P[A]=P[B]$, the statement is not true in general.

STATEMENT 2:

if $P[A∩B|C]=P[A|C]P[B|C]$, then A and B are independent events.

I've tried many ways, but I cannot figure out how to prove or disprove the statement. Could you help me? Thanks.

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HINTS

Stmt 1: you have proven the reverse direction. You need to show a counter-example where $P(A\mid B) = P(B)$ but $A, B$ are dependent. Instead your only showed an example where $A, B$ independent but $P(A\mid B) \neq P(B)$. It's the wrong direction.

The correct counter-example is not difficult. You can easily construct examples with coins, dice (or even just purely abstractly).

Stmt 2: This is more subtle. $P(A\cap B\mid C) = P(A\mid C) P(B \mid C)$ means that $A,B$ are independent when conditioned on $C$. The question is does that make $A,B$ independent when unconditioned? I would suggest using a 6-sided die and assigning various subsets of results as $A,B,C$ and see if you can first find an example where $P(A\cap B\mid C) = P(A\mid C) P(B \mid C)$.

Hope this helps. If you're still stuck after a while lemme know your progress and I'll see if I can think of further hints.