Probability with Martingales:
I want to try to show the last one
$$\left[\limsup \frac{|S_n|}{n}\right] = \infty \ \text{a.s.}$$
which is equivalent to
$$\forall k \in \mathbb N$$
$$\left[\limsup \frac{|S_n|}{n}\right] \ge k \ \text{a.s.}$$
What I tried:
I guess I can't use BCL2 like I did for
$$\left[\limsup \frac{|X_n|}{n}\right] = \infty \ \text{a.s.} \tag{*}$$
since even though $\{X_n\}_{n \in \mathbb N}$ is independent, $\{S_n\}_{n \in \mathbb N}$ isn't. However, I guess I don't need to. I tried using $(*)$:
$$(*) \iff \forall k \in \mathbb N$$
$$\left[\limsup \frac{|X_n|}{n}\right] \ge k \ \text{a.s.}$$
$$\iff \limsup \frac{|S_n - S_{n-1}|}{n} \ge k \ \text{a.s.}$$
$$\to \limsup \frac{|S_n| + |S_{n-1}|}{n} \ge k \ \text{a.s.}$$
$$\to \limsup \frac{|S_n|}{n} + \limsup \frac{|S_{n-1}|}{n} \ge k \ \text{a.s.}$$
$$\iff \limsup \frac{|S_n|}{n} \ge k \ \text{a.s.} \ \text{or} \ \limsup \frac{|S_{n-1}|}{n} \ge k \ \text{a.s.}$$
Now:
$$\limsup \frac{|S_{n-1}|}{n} \ge k \ \text{a.s.}$$
$$\iff \limsup \frac{|S_{n} - X_n|}{n} \ge k \ \text{a.s.}$$
$$\to \limsup \frac{|S_n|}{n} + \limsup \frac{|X_n|}{n} \ge k \ \text{a.s.}$$
$$\iff \limsup \frac{|S_n|}{n} \ge k \ \text{a.s.} \ \text{or} \ \limsup \frac{|X_n|}{n} \ge k \ \text{a.s.}$$
I'm stuck. It seems that the most I can conclude is
$$\limsup \frac{|S_n|}{n} \ge k \ \text{a.s.} \ \text{or} \ \limsup \frac{|X_n|}{n} \ge k \ \text{a.s.}$$
How can I approach this please?
Can I somehow conclude
$$\limsup \frac{|S_n|}{n} \ge k \ \text{a.s.}$$
from
$$\limsup \frac{|S_{n-1}|}{n} \ge k \ \text{a.s.}$$
?

As I pointed out in my comment, $\limsup_n|X_n|/n\le 2\limsup_n|S_n|/n$. Consequently, $\{\limsup_n|X_n|/n\}\subset\{\limsup_n|S_n|/n\}$, so if the former has probability 1 then so does the latter.