So long we’ve come, we can confidently say that the “Army” mindset is a universal human instinct. While the “IMDB War” between television giants might seem far removed from our snowy battlefields, it clearly establishes a connection between these two. Let us dive deeper and uncover the impossible.

Designed by Mare
What Happened?
The conflict began on the IMDb ratings charts, a territory long held by the Breaking Bad episode “Ozymandias” with its legendary 10/10 status. When a new episode of the Game of Thrones spinoff, A Knight of the Seven Kingdoms, threatened this dominance by reaching a perfect score, the “Breaking Bad Army” launched a coordinated 1-star review-bombing campaign. In a classic retaliatory strike, GoT fans fired back at “Ozymandias,” dragging the veteran episode down to a 9.5 and proving that in digital warfare, no fortress is unraidable.

Breaking Bad IMDb 9.5 episode stars rating

A Knight of the Seven Kingdoms 9.5 stars episode review
The ammunition may change— shifting from snowballs and “tactics” to 1-star reviews and botting— but the command structure remains identical. High-profile “influencer” accounts act as the Army Commanders, signalling the target and the timing of the strike to thousands of loyal “soldiers” who are ready to mobilise at a moment’s notice. It proves that whether you are a Leader in a Penguin Army or a lurker on a TV forum. The human instinct to gather a “max,” occupy a digital space, and silence the opposition is a universal constant of the internet.
What about Club Penguin?
We have seen this play out in our own world, most notably during the Templars of Club Penguin vs. Void Troops Reddit War. When armies take their conflicts to public platforms like r/ClubPenguin, they use the same “concept” tactics. We see this in major armies or fandoms. Brigading threads to silence opposition and using propaganda to control the narrative. Whether it is K-Pop stans “clearing searches” or console gamers raiding Metacritic scores. These groups function as digital infantries, occupying online spaces to ensure their “tribe” remains supreme.
This behaviour isn’t new, it is an evolution of tactics that dates back to the original Club Penguin era. Just as older armies used autotypers to aggressively recruit and dominate chat rooms, modern fandoms use botting and mass-reporting to suppress rival shows or artists. The result is often the same: a “fragile” public image that enrages the general community and leads to tighter restrictions on how these “armies” can operate in neutral spaces.

Advanced anti-recruiting tactics

The aftermath
The core of this comparison lies in the evolution of the “Veteran” identity and the obsession with historical legacy. Ultimately, In both the IMDB trenches and the Club Penguin map, these wars aren’t fought by casual observers; they are led by “Elites” who feel a deep, almost religious obligation to protect the past from the present.
When the Breaking Bad fandom strikes, they are acting exactly like a retired Army Legend returning for one last “Save the Server” campaign. They aren’t just protecting a rating, they are protecting their own era of dominance. This reflects the internal politics of the Map Tournament, where older generations often clash with the new, attempting to “gatekeep” prestige. They believe the newcomers haven’t earned their place on the leaderboard.

The Truth
The Final Verdict
The fall of “Ozymandias” proves that the “Army” mindset is the default setting for human interaction online. We in the CPA community are often mocked for our “military” roleplay. However, the rest of the internet is simply doing the same thing without the honesty of wearing a uniform. The community should have wars going on within it. We must recognise that our tactics are part of a much larger, global phenomenon of digital warfare.

Walter being scared
Do YOU agree with the post? Is the “Army” instinct truly universal, or is this level of toxicity unique to certain corners of the web? Should there be a code of conduct for how we behave on external platforms?
Fwapo
Reporter