I am struggling with a small part of the proof of the law of large numbers.
I understand from Markov's inequality: $$P(X\ge t) \le \frac{E(X)}{t} $$ and therefore if $ X = (\bar{Y} - E(Y))^2$
$$P(|\bar{Y} - E(Y)|\ge t) \le \frac{\sigma^2}{nt^2} $$
However, what i don't quite understand is what happens when we switch the inequality on the left from $\ge t$ to $\le t$.
I understand the fact that if $P(X>t)=c$ then $P(X<t)=1-c$, however I am finding it hard to think about why the correct answer is:
$$P(|\bar{Y} - E(Y)|\le t) \ge 1-\frac{\sigma^2}{nt^2} $$
and not:
$$P(|\bar{Y} - E(Y)|\le t) \le 1-\frac{\sigma^2}{nt^2} $$