Polymarket Exec CAUGHT ON HOT MIC w/Clavicular | #Shorts ⁠98%

5/7/2026, 11:25:10 AM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 33 faulty reasoning types, including False Dilemma, Appeal to Emotion, and Availability Heuristic, with Negativity Bias as the most egregious example at 47.8% saturation with 149 hits. Analysis detected 1,549 faulty-reasoning hits from 312 analyzed words, generating a BS Score of 98% and a BS Rank of ⁠98% (431 of 21,886 videos). This video is worse (more manipulative) than 98.00% of the video peer group.

loathed to cover clavvicular. This was the executive who uh was caught on a hot mic. 
>> I'm CMO. 
So, >> yeah, you don't, >> bro. He's the guy. 
>> I'm telling you, >> you don't hear 2829, bro. Hold up. 
Now, we don't really know what they were talking about, but it's a fun and a catchy way of actually feeding some of you your vegetables who have been doing a little bit too much polyarket betting. 
Wall Street Journal analysis shows on polyarket 67% of profits go to just.1% of accounts. 
The statistics on this bear out in the exact same way that they do in every casino in the world and on every sports betting app. 
Very, very few people will actually make money. 
I believe that the sports betting number is 5% of accounts will ever take profit. 
The vast majority will either break even 
or lose. 
And most of the losers are so big that they lose the vast majority. 
They're called gambling addicts. 
looking at this data, you are better off shooting craps and like betting even the dumbest bets on the table than you are sports betting parlays andor trying to do political or event market predictions. 
predictions. You're just not going to win. 
>> Just recall from our previous coverage 
that one of the ways they identify people who are like dumb and going to lose a lot of money is whether or not they're doing parlays. 
>> Yeah, 
>> just so you know. 
>> Honestly, gambling has been the most black pilling thing I've ever covered. 
I have never seen so many millions, tens of millions of people piss their money away willingly and with the knowledge that they will lose. 
I tell them they'll 
lose and they tell me I'm wrong. 
>> Yeah. 
Article reasoning-pattern comparisonThis article: 12.5%Breaking Points: 22.5%Confirmation Bias12.5%This article: 3.2%Breaking Points: 3.1%Anchoring Bias3.2%This article: 34.0%Breaking Points: 12.2%Availability Heuristic34.0%This article: 8.3%Breaking Points: 2.6%Representativeness Heuristic8.3%This article: 0.0%Breaking Points: 2.7%Hindsight Bias0.0%This article: 22.1%Breaking Points: 10.1%Overconfidence Bias22.1%This article: 19.2%Breaking Points: 16.2%Framing Effect19.2%This article: 11.2%Breaking Points: 1.2%Loss Aversion11.2%This article: 0.0%Breaking Points: 0.6%Status Quo Bias0.0%This article: 0.0%Breaking Points: 0.5%Sunk Cost Effect0.0%This article: 0.0%Breaking Points: 6.1%Optimism Bias0.0%This article: 30.8%Breaking Points: 8.0%Pessimism Bias30.8%This article: 47.8%Breaking Points: 25.7%Negativity Bias47.8%This article: 20.2%Breaking Points: 3.4%Self-Serving Bias20.2%This article: 13.8%Breaking Points: 5.8%Fundamental Attribution Error13.8%This article: 0.0%Breaking Points: 1.1%Actor-Observer Bias0.0%This article: 3.2%Breaking Points: 6.3%In-Group Bias3.2%This article: 8.7%Breaking Points: 3.5%Out-Group Homogeneity Bias8.7%This article: 0.0%Breaking Points: 3.4%Halo Effect0.0%This article: 0.0%Breaking Points: 1.1%Horn Effect0.0%This article: 0.0%Breaking Points: 0.1%Dunning-Kruger Effect0.0%This article: 6.4%Breaking Points: 3.8%Recency Bias6.4%This article: 3.8%Breaking Points: 1.4%Primacy Effect3.8%This article: 0.0%Breaking Points: 0.4%Blind-Spot Bias0.0%This article: 11.9%Breaking Points: 6.9%Ad Hominem11.9%This article: 0.0%Breaking Points: 3.5%Straw Man0.0%This article: 17.9%Breaking Points: 7.2%Appeal to Authority17.9%This article: 35.9%Breaking Points: 7.4%False Dilemma35.9%This article: 11.2%Breaking Points: 7.2%Slippery Slope11.2%This article: 0.0%Breaking Points: 1.1%Circular Reasoning0.0%This article: 25.0%Breaking Points: 22.9%Hasty Generalization25.0%This article: 2.9%Breaking Points: 1.7%Red Herring2.9%This article: 4.5%Breaking Points: 1.6%Bandwagon4.5%This article: 35.3%Breaking Points: 22.0%Appeal to Emotion35.3%This article: 10.9%Breaking Points: 5.8%Begging the Question10.9%This article: 0.0%Breaking Points: 6.4%Post Hoc (False Cause)0.0%This article: 2.2%Breaking Points: 0.8%Tu Quoque2.2%This article: 24.4%Breaking Points: 5.3%Burden of Proof24.4%This article: 1.3%Breaking Points: 0.4%Appeal to Nature1.3%This article: 12.8%Breaking Points: 1.9%Composition/Division12.8%This article: 24.0%Breaking Points: 6.8%Anecdotal24.0%This article: 8.7%Breaking Points: 0.6%No True Scotsman8.7%This article: 13.1%Breaking Points: 7.7%Ambiguity (Equivocation)13.1%This article: 0.0%Breaking Points: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Breaking Points: 0.2%Middle Ground0.0%This article: 1.3%Breaking Points: 1.6%Personal Incredulity1.3%This article: 0.0%Breaking Points: 4.8%Special Pleading0.0%This article: 8.0%Breaking Points: 0.8%Genetic Fallacy8.0%This article: 0.0%Breaking Points: 3.5%Unattributed Quote0.0%This article: 0.0%Breaking Points: 0.8%Quote-first Misdirection0.0%This article: 0.0%Breaking Points: 9.3%Biased Writer Voice0.0%This article: 0.0%Breaking Points: 2.8%Indoctrination0.0%This article: 0.0%Breaking Points: 3.3%Politically Left Leaning Bias0.0%This article: 0.0%Breaking Points: 0.8%Politically Right Leaning Bias0.0%This article: 0.0%Breaking Points: 1.1%Attempt to Sell a Product or S…0.0%

312 words analyzed.

Speakers

1speaker4.8%attributed speech297writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWall Street Journal • 15 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverage
Selected voice

Wall Street Journal

100%flagged-word coverage
15 attributed words100% of attributed speech100% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.