For most people, the fact that the $\text{LHS}$ and $\text{RHS}$ weigh the same is proof enough.
I'm glad that you're not that people.

Let's see an example of distribution of multiplication over addition of integers:
$$
\begin{align}
3\times\left(\color{red}{1} + \color{blue}{2}\right)
&= \color{red}{3} + \color{blue}{6}\\
3 \times \left(\color{red}{\star}\space\color{blue}{\star\star}\right)
&= \begin{array}{cc}
\color{red}{\star} &\color{blue}{\star\star} \\
\color{red}{\star} &\color{blue}{\star\star} \\
\color{red}{\star} &\color{blue}{\star\star} \end{array}
\end{align}
$$
Multiplication can elementarilly defined as:
$$a\times b = \sum_{i=1}^{a} b $$
So, even when we have $n$ variables, this still applies.
$$k\times (x_1 + x_2 + \dots + x_n)= k\times\sum_{i = 1}^{n}x_i = \sum_{j = 1}^{k} \sum_{i = 1}^{n}x_i$$
Hence giving the illusion of distribution:

All that's happening here is this:
$$
\begin{align}
a\times(b+c) &= (b+c) + (b+c) + (b+c) + \dots \text{a times}\\
&= (b+b+b+\dots \text{a times}) + (c+c+c+\dots \text{a times})\\
&= (a\times b) + (a\times c)
\end{align}$$
@MathLove has used this fact to note the result of the example you've given.
Note: The definition I gave of multiplication gets shaky for non-whole numbers.
In which case, you turn to the
geometrical interpretation of multiplication as the Area of a Rectangle