Friendship paradox is the somewhat well-known statement that "statistically speaking, your friends have more friends than you do".
To my mind, which is surely ignorant of any complexities of social sciences, it seems that this should translate into the following statement:
Friendship Paradox Theorem I. Let $G = (V,E)$ is an undirected graph. Then the average degree of a vertex sampled uniformly at random from the neighbourhood of a vertex sampled uniformly at random from $V$ is at least as large as the average degree of a vertex sampled uniformly at random from $V$, i.e., $$ \frac{1}{|V|} \sum_{v \in V} \frac{1}{\deg(v)} \sum_{u : uv \in E} \deg(u) \geq \frac{1}{|V|} \sum_{v \in V} \deg(v).\tag{1} $$
Hence, I was somewhat to see that Wikipedia justifies the friendship by a different inequality.
Friendship Paradox Theorem II. Let $G = (V,E)$ is an undirected graph. Then the average degree of a vertex sampled by choosing a random endpoint of an edge sampled uniformly at random is at least as large as the average degree of a vertex sampled uniformly at random from $V$, i.e., $$ \frac{1}{2|E|} \sum_{v \in V} \deg(v)^2 \geq \frac{1}{|V|} \sum_{v \in V} \deg(v). \tag{2} $$
Now, both inequalities are true, and friendship paradox is an empirical observation, so there is not much of a problem. However, I would be grateful if someone could explain to me the intuitive appeal of (2) as a justification of said observation (right now, it seems to me that it's just obtained by choosing the distribution on $V$ so as to make computations easier). Of course, it could be the case that no such justification exist, in which case I would be grateful for references (and moral support) to edit the relevant Wikipedia page.