NBC News⁠99%

Man accused of setting fire outside NYC federal building ⁠99%

7/21/2026, 4:47:40 AM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 17 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Confirmation Bias, with Availability Heuristic as the most egregious example at 53.4% saturation with 132 hits. Analysis detected 902 faulty-reasoning hits from 247 analyzed words, generating a BS Score of 98.7% and a BS Rank of ⁠99% (357 of 21,179 videos). This video is worse (more manipulative) than 98.30% of the video peer group.

Tonight,Ā aĀ federalĀ investigationĀ intoĀ thisĀ terrifyingĀ sceneĀ inĀ NewĀ YorkĀ City.Ā 
VideoĀ fromĀ witnessesĀ showingĀ aĀ manĀ pouringĀ aĀ liquidĀ outsideĀ aĀ federalĀ buildingĀ homeĀ toĀ anĀ immigrationĀ andĀ customsĀ officeĀ ignitingĀ aĀ massiveĀ blaze.Ā 
>>Ā ToĀ actuallyĀ witnessĀ itĀ wasĀ definitelyĀ alarm.Ā 
>>Ā InvestigatorsĀ sayĀ theĀ suspectĀ ignitedĀ anĀ apparentĀ bundleĀ ofĀ fireworks,Ā firedĀ anĀ airsoftĀ rifle,Ā andĀ litĀ thisĀ fireĀ inĀ anĀ incidentĀ thatĀ injuredĀ threeĀ peopleĀ thisĀ morning.Ā 
YouĀ canĀ seeĀ himĀ lobbingĀ somethingĀ towardsĀ theĀ entranceĀ beforeĀ heĀ isĀ tackled.Ā 
OtherĀ anglesĀ showĀ aĀ scuffleĀ withĀ officers,Ā someĀ withĀ weaponsĀ drawn,Ā emergingĀ fromĀ theĀ smokyĀ entrance,Ā thenĀ escortingĀ theĀ suspectĀ inĀ allĀ blackĀ andĀ handcuffedĀ away.Ā 
TheĀ FBIĀ identifyingĀ theĀ suspectĀ asĀ 43-year-oldĀ AndrewĀ Arabaka.Ā 
>>Ā HeĀ didĀ sayĀ heĀ wasĀ targetingĀ theĀ buildingĀ andĀ heĀ wasĀ okayĀ ifĀ heĀ hurtĀ orĀ killedĀ peopleĀ goingĀ inĀ andĀ outĀ ofĀ theĀ building.Ā 
>>Ā AreĀ youĀ investigatingĀ thisĀ asĀ aĀ possibleĀ actĀ ofĀ terrorism?Ā 
We'reĀ investĀ we'reĀ collectingĀ theĀ evidenceĀ andĀ weĀ weĀ knowĀ thereĀ wereĀ anti-governmentĀ andĀ anti-AmericanĀ statementsĀ made.Ā 
>>Ā InvestigatorsĀ inĀ hazmatĀ suitsĀ nowĀ combingĀ throughĀ theĀ aftermathĀ recoveringĀ theĀ FBIĀ saysĀ axes,Ā aĀ machete,Ā knives,Ā andĀ aĀ cartĀ withĀ aĀ signĀ readingĀ iceĀ offĀ ourĀ streetsĀ asĀ tensionsĀ haveĀ flaredĀ nearĀ ICEĀ facilitiesĀ nationwide.Ā 
InvestigatorsĀ sayĀ theĀ suspectĀ isĀ aĀ USĀ ArmyĀ veteranĀ whoĀ hasĀ hadĀ severalĀ encountersĀ withĀ lawĀ enforcement,Ā butĀ nothingĀ toĀ thisĀ degree.Ā 
ChargesĀ areĀ stillĀ beingĀ determined.Ā 
Article reasoning-pattern comparisonThis article: 36.8%NBC News: 1.9%Confirmation Bias36.8%This article: 0.0%NBC News: 0.8%Anchoring Bias0.0%This article: 53.4%NBC News: 2.9%Availability Heuristic53.4%This article: 12.1%NBC News: 0.8%Representativeness Heuristic12.1%This article: 0.0%NBC News: 0.5%Hindsight Bias0.0%This article: 15.8%NBC News: 1.7%Overconfidence Bias15.8%This article: 12.1%NBC News: 6.2%Framing Effect12.1%This article: 0.0%NBC News: 0.2%Loss Aversion0.0%This article: 0.0%NBC News: 0.3%Status Quo Bias0.0%This article: 2.0%NBC News: 0.1%Sunk Cost Effect2.0%This article: 0.0%NBC News: 1.8%Optimism Bias0.0%This article: 0.0%NBC News: 1.3%Pessimism Bias0.0%This article: 49.4%NBC News: 6.9%Negativity Bias49.4%This article: 0.0%NBC News: 1.2%Self-Serving Bias0.0%This article: 0.0%NBC News: 0.7%Fundamental Attribution Error0.0%This article: 0.0%NBC News: 0.1%Actor-Observer Bias0.0%This article: 0.0%NBC News: 1.5%In-Group Bias0.0%This article: 0.0%NBC News: 0.3%Out-Group Homogeneity Bias0.0%This article: 4.5%NBC News: 4.2%Halo Effect4.5%This article: 0.0%NBC News: 0.3%Horn Effect0.0%This article: 0.0%NBC News: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%NBC News: 1.3%Recency Bias0.0%This article: 15.4%NBC News: 0.5%Primacy Effect15.4%This article: 0.0%NBC News: 0.0%Blind-Spot Bias0.0%This article: 0.0%NBC News: 0.6%Ad Hominem0.0%This article: 0.0%NBC News: 0.3%Straw Man0.0%This article: 31.2%NBC News: 2.9%Appeal to Authority31.2%This article: 0.0%NBC News: 1.1%False Dilemma0.0%This article: 0.0%NBC News: 0.5%Slippery Slope0.0%This article: 0.0%NBC News: 0.1%Circular Reasoning0.0%This article: 24.3%NBC News: 3.2%Hasty Generalization24.3%This article: 0.0%NBC News: 0.2%Red Herring0.0%This article: 0.0%NBC News: 0.7%Bandwagon0.0%This article: 47.8%NBC News: 5.0%Appeal to Emotion47.8%This article: 6.9%NBC News: 0.7%Begging the Question6.9%This article: 15.0%NBC News: 1.9%Post Hoc (False Cause)15.0%This article: 0.0%NBC News: 0.0%Tu Quoque0.0%This article: 13.4%NBC News: 0.5%Burden of Proof13.4%This article: 0.0%NBC News: 0.1%Appeal to Nature0.0%This article: 0.0%NBC News: 0.1%Composition/Division0.0%This article: 13.8%NBC News: 1.5%Anecdotal13.8%This article: 0.0%NBC News: 0.1%No True Scotsman0.0%This article: 11.3%NBC News: 1.5%Ambiguity (Equivocation)11.3%This article: 0.0%NBC News: 0.0%Gambler’s Fallacy0.0%This article: 0.0%NBC News: 0.1%Middle Ground0.0%This article: 0.0%NBC News: 0.1%Personal Incredulity0.0%This article: 0.0%NBC News: 0.1%Special Pleading0.0%This article: 0.0%NBC News: 0.1%Genetic Fallacy0.0%This article: 0.0%NBC News: 1.7%Unattributed Quote0.0%This article: 0.0%NBC News: 1.2%Quote-first Misdirection0.0%This article: 0.0%NBC News: 4.3%Biased Writer Voice0.0%This article: 0.0%NBC News: 1.1%Indoctrination0.0%This article: 0.0%NBC News: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%NBC News: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%NBC News: 0.5%Attempt to Sell a Product or S…0.0%

247 words analyzed.

Speakers

2speakers15%attributed speech210writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageFBI • 26 words • 0.0% coverageAndrew Arabaka • 11 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverage
Selected voice

Andrew Arabaka

100%flagged-word coverage
11 attributed words30% 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.

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Analysis

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