(YTP) I Made a YouTube Poop of Wikipedia... This Is What I Found
Credibility score: 30/100 — Low Credibility. High BS alert! Many claims lack evidence or are misleading.
BSmeter analyzed "(YTP) I Made a YouTube Poop of Wikipedia... This Is What I Found" and rated it 30/100 for credibility (a BS score of 70/100 — low credibility), on 2026-08-09. Its weakest claim — "Promises absurd learning outcomes from repeated watching — hyperbole framing" — scored 20/100 and was flagged as emotional button. 11 claims were checked against the video transcript. Scores are produced by BSmeter's AI analysis of the transcript, not independent human verification.
Of 11 claims analyzed: 8 scored under 40, 2 between 40 and 69, and 1 at 70 or above.
Claims analyzed
Video opens with a rapid-fire, absurd highlight reel preview. — Just Vibes (50/100)
At 0:00
This is pure, unadulterated YouTube Poop energy right from the jump — no real claims, just a chaotic montage of non-sequiturs. 🤪
Why this score: The speaker is clearly setting a comedic, nonsensical tone for a YouTube Poop. The 'claims' about 6.3 million English orphans, 200 million twinks, and graphs made of coke and Pepsi are intentionally absurd and not meant to be taken seriously. It's a classic YTP intro, designed to disorient and amuse, not inform. There's no 'framing' in the manipulative sense here, just a commitment to surreal humor.
Original quote: “What you are looking at is a visual representation of what you are looking at. Each circle represents one of the 6.3 million English orphans. And deez nuts are the nearly 200 million twinks that form all your favorite musicians. This graph is the culmination of the Culmi nation of thousands of…”
Promises absurd learning outcomes from repeated watching — hyperbole framing — Emotional Button (20/100)
At 0:30
Promises you'll 'understand 0.01%' and 'learn you've used coke' — absurd stakes to hook viewers.
Why this score: The speaker sets impossible expectations (200,000 watches for 0.01% understanding) and a bizarre payoff (learning you've done coke) to create curiosity. This is classic emotional button framing — promising something so ridiculous it makes you stay just to see if they're serious.
Original quote: “without WinRAR. But I promise that if you stay with meem, and watch this video 200,000 times, not only will you come to understand 0.01% of this graph, but you just might learn that I can almost guarantee you've used coke at some point in your life.”
Contradictory numbers + nonsense premise about 'Nemo is dead' — deliberate absurdity framing — False Equivalence (20/100)
At 0:53
Says '44 communities' then immediately '43 communities' — the contradiction is the joke, not a slip.
Why this score: The speaker presents conflicting numbers (44 vs 43) as if they're serious data, then follows with a nonsensical premise (finding Nemo is a 'waste of time' because Nemo is 'dead-mo' in game theory). This is false equivalence framing — treating absurd wordplay as equivalent to actual analysis to create comedic dissonance between form and content.
Original quote: “Each color represents different colors of this graph. In total, the algorithm detected 44 different communities. 43 different communities. The idea behind finding Nemo is a complete waste of time since in Game Theory Nemo is dead-mo. In order to test this theory, I looked at the categories for each…”
Absurd category assignments (760k presidents, WW3, Ben 10) — nonsense data framing — Straw Man (20/100)
At 1:20
Assigns ridiculous content (760,000 presidents, WW3, Ben 10) to fake communities — parodying data visualization.
Why this score: The speaker creates obviously fake communities with impossible numbers (760,000 presidents) and absurd topics (WW3, Ben 10) to mock how Wikipedia categories can be gamed. This is straw man framing — exaggerating the flaws of community detection algorithms to ridiculous extremes so the audience laughs at how broken the system appears.
Original quote: “community number threerth, which has over 760,000 United States presidents, we'll find that the most common categories of articles are related to World War 3. Now, let's look at community number five. Actually, let's not. Community number 10 is where you'll find Ben 10. Now, having communities…”
Film origins assigned to 'ancient Egypt' and 'Pluto' — absurd sourcing framing — Missing Context (20/100)
At 1:42
Claims ParaNorman and RRRRRRRR come from 'ancient Egypt' and 'Pluto' — deliberately impossible origins for comedic effect.
Why this score: The speaker assigns real films to impossible origins (ancient Egypt, Pluto) while showing onscreen graphics that contradict the claim (Stonehenge for ancient Egypt). This is missing context framing — the audience knows these origins are fake, but the speaker presents them with fake authority to highlight how Wikipedia's category system can be manipulated into nonsense.
Original quote: “community number six is all about that bass, 'bout that bass. but there are also two separate communities for no and treble. This shows nothing. I thought it would be interesting to look at films like ParaNorman and RRRRRRRR which come from ancient Egypt and Pluto disrespectively.”
Links 'Canadian people' and 'baby Jesus' as top categories — absurd correlation framing — False Equivalence (20/100)
At 2:16
Equates 'Canadian people' and 'baby Jesus' as equally valid top categories — mocking correlation without causation.
Why this score: The speaker presents 'Canadian people' and 'baby Jesus' as the top two categories in community 14, then concludes this shows how 'closely linked' they are. This is false equivalence framing — treating two unrelated absurd categories as meaningful data points to satirize how community detection can create nonsensical connections.
Original quote: “community number 14. The top categories here are pretty evenly split between Canadian people and baby Jesus, which I guess just shows how closely linked a famous person and Canada are to each other.”
Twists 'ass' statistics into Lincoln joke — loaded wordplay technique — Loaded Language (45/100)
At 2:41
Uses 'biggest ass' double meaning to force Lincoln into juvenile punchline — word choice does all the work.
Why this score: They're exploiting the ambiguity of 'ass' to create a false equivalence between anatomical slang and the unrelated Wikipedia article. The framing deliberately conflates two unrelated meanings of the same word. A clean version would just say 'the article titled Ass has the second-most incoming links' without the Lincoln detour.
Original quote: “The second most referenced article has over 2 links to it and it belongs to the article for Ass. The article with the single biggest ass is the United States presidents, specifically Lincoln.”
Links missing Wikipedia article to COVID joke — false equivalence technique — False Equivalence (20/100)
At 3:03
Jumps from 'most referenced article isn't on Wikipedia' to 'curing COVID-19 creates COVID-20' — absurd causal leap.
Why this score: The speaker sets up a legitimate observation about Wikipedia's structure, then immediately equates it to a nonsensical pandemic escalation. This is classic false equivalence: treating an information-systems quirk as if it operates under the same rules as viral mutation. The framing collapses two completely different domains into one absurd conclusion.
Original quote: “The most referenced article on Wikipedia isn't on Wikipedia, and this made me bi-curious - what if I cure COVID 19? Well, it turns out the simple answer to that question is COVID 20.”
Claims 'no exceptions' to country overlap — overconfidence technique — Confidence Mismatch (20/100)
At 3:28
Declares 'there are not exceptions' to a pattern without showing data — absolute certainty with zero receipts.
Why this score: The speaker asserts a universal rule ('no exceptions') based on an unspecified map overlay. This is the classic overconfidence move: stating a pattern as ironclad when the evidence presented is a single visual claim. A measured framing would acknowledge the map shows a trend, not a law.
Original quote: “You'll notice a fairly consistent overlap with the highlighted countries having the most high people. There are not exceptions. People will naturally want to write fanfiction and many times that will end up linking back to Pokemon.”
Reverses 'no' to 'NO' for emphasis — delivery technique — No Frame (75/100)
At 4:11
Corrects 'no' to 'NO' as fake dramatic reveal — pure comedic timing, zero factual claim.
Why this score: The speaker performs an information-systems question, then immediately undercuts their own answer with theatrical correction. This is anti-humor framing: the joke isn't the answer itself but the exaggerated delivery of a non-answer. A neutral version would simply say the link chain doesn't exist.
Original quote: “One question I've always wondered when high is does a link of links exist from Link to lynx to Lincoln to LinkedIn. Well, it turns out the simple answer to that question is no. Sorry, did I say no? I meant to say NO.”
Nonsense string passes as Wikipedia fact — YTP misdirection — Missing Context (20/100)
At 4:30
Buries absurd mash-up in fake-stat format so the joke lands before you clock the nonsense.
Why this score: The clip mimics a serious climate-graph voiceover, then pivots mid-sentence into deliberate gibberish ("baby Jeej," "War 1300," "5.85 million members"). By keeping the delivery deadpan and the cadence normal, the YTP hides the punchline inside what sounds like authoritative exposition — classic Wikipedia-editing parody that only works if the listener momentarily treats the garbage as legit.
Original quote: “If we view the global warming on a graph, we can see it increases slowly at first, then very rapidly. We can keep increasing the degrees until the globe becomes HOT. What a complete taste of wime. My favorite orphan has to be baby Jeej of the Acton Facton consisting of 5.85 million English members…”
See the full analysis with timestamps →