what does it mean that the function $ F(t) $
$$ F(t)= \frac{\arg\zeta (\frac{1}{2}+it)}{\sqrt{\log\log(t)}} $$
is distributed as a 'Gaussian Random variable ?? in the limit $ t \to \infty $
a) $$ \arg\zeta (\frac{1}{2}+it)=(1+o(1))\sqrt{\log\log(t)}$$
b) the Argument of the Zeta function on the critical line is almost $ \sqrt{\log\log(t)} $


Consider a measurable real-valued function $G$ defined on $(0,+\infty)$. For every $T\gt0$ and real number $x$, define $\ell_T(x)$ as the Lebesgue measure of the set $\{t\leqslant T\mid G(t)\leqslant x\}$.
One says that the function $G$ is asymptotically distributed as a standard normal random variable if, for every real number $x$, $$ \lim\limits_{T\to\infty}T^{-1}\ell_T(x)=\frac1{\sqrt{2\pi}}\int_{-\infty}^x\mathrm e^{-z^2/2}\mathrm dz, $$ that is, $$ \lim\limits_{T\to\infty}T^{-1}\int_0^T\mathbf 1_{G(t)\leqslant x}\,\mathrm dt=\mathbb P(Z\leqslant x), $$ where $Z$ is a standard normal random variable.
There exists some variants of this definition but the idea remains the same.