For a Brownian motion $B_t$ there are many results about its $t \rightarrow + \infty$ or $t \rightarrow 0+$ behavior, such as $$\limsup_{t\rightarrow \infty} \frac{B_t}{(2t\log\log t)^{1/2}} = 1 \quad a.s.\\ \liminf_{t\rightarrow \infty} \frac{B_t}{(2t\log\log t)^{1/2}} = -1 \quad a.s.$$
I interpret the above result as follows: as $t \rightarrow +\infty$ the paths of the process $B_t$ will a.s. grow by the rate $(2t\log\log t)^{1/2}$. Another way I think of this is if you scale $B_t$ by $(2t\log\log t)^{-1/2}$ then the resulting process will a.s. be within $[-1, 1]$ in the limit $t \rightarrow +\infty$.
Assuming the above interpretations are correct, I am having a hard time coming up with a similar interpretation to the $t \rightarrow 0+$ limit, for example: $$\liminf_{t\rightarrow 0+} \frac{B_t}{(2t\log\log \frac1t)^{1/2}} = -1 \quad a.s.$$ A Brownian motion by definition starts at $0$ a.s., and if we assume a continuous version of the Brownian motion I would expect that the $t\rightarrow 0+$ limit is always zero and not -1. So what is the above saying exactly?