I am trying to prove that $\mathbb{P}(\sup_{t\in[0,1]}|B_t|<\epsilon)>0$ where $(B_t)_{t\geq 0}$ is the standard Brownian motion, and $\epsilon>0$, I came up with the following proof but I feel that something is wrong with it.
Suppose that instead $\mathbb{P}(\sup_{t\in[0,1]}|B_t|<\epsilon)=0$, then there exists $t_0\in [0,1]$ such that $B_{t_0}=\infty$ a.s.
Take $t_1\in[0,1]$ such that $t_1 \neq t_0$ and such that $B_{t_1}$ is bounded (here we can take $t_1=0$), then we know that $$E((B_{t_1}-B_{t_0})^2)=t_1-t_0 $$ But $$E((B_{t_1}-B_{t_0})^2)=E(\infty)=\infty $$
which leads to a contradiction, i.e. $\mathbb{P}(\sup_{t\in[0,1]}|B_t|<\epsilon)>0$
I've already seen the answers to this question here as no one thought of it, which made me doubt my own :/ what do you think?