The Blaze79%

Huge brawl at In-N-Out Burger caught on video; customers are seen running for cover: 'Did they order it animal style?' 44%

By Dave Urbanski32%

7/19/2026, 5:00:00 AM

BS Summary: This article contains 10 faulty reasoning types, including Negativity Bias, Hasty Generalization, and Quote-first Misdirection, with Framing Effect as the most egregious example at 13.9% saturation with 45 hits. Analysis detected 250 faulty-reasoning hits from 324 analyzed words, generating a BS Score of 47.1% and a BS Rank of 44% (12,312 of 21,887 articles). This article is better (less manipulative) than 56.30% of the article peer group.

A huge brawl at an Arizona In-N-Out Burger was caught on video early last week, and customers are seen running for cover in the clip. 
Tempe police told KSAZ-TV they were called to the fast-food restaurant near Rural Road and Playa del Norte Drive just after 7 p.m. 
Monday. 
'Bunch of future doctors and lawyers.' 
The station said people were seen screaming and running for the door as the melee commenced. 
In the clip, numerous individuals are seen trading punches, wrestling, and tackling each other all over the restaurant, KSAZ said. 
A person who uploaded video of the fight told the station customers were "camping out" inside the restaurant during an active monsoon storm. 
But by the time police arrived at the scene, all those involved in the brawl had already taken off, KSAZ said, adding that some fled on foot while others departed in cars. 
The station said what sparked the fight is unknown, and no names have been released in connection with the case. 
Police did tell KSAZ that officers were able to speak with witnesses and restaurant staff, and a follow-up investigation is under way. 
RELATED: Male, 55, accused of grabbing 15-year-old by neck, throwing him to floor of In-and-Out Burger  and it's all caught on video 
Commenters who posted reactions under the KSAZ video report showing the brawl were disgusted by it: 
"Bunch of future doctors and lawyers," one commenter wrote . 
"Did they order it animal style?" 
another commenter quipped , referencing an In-N-Out Burger serving option. 
"Stay in school, kids," another commenter suggested . 
"This is what happens when you drop out and become a loser. 
Becoming violent and then running away speaks volumes about your level of education." 
"In my day we took it outside," another commenter recalled . 
"Not in front of women and children." 
Article reasoning-pattern comparisonThis article: 0.0%Dave Urbanski: 1.9%Blaze Media: 5.6%Confirmation Bias0.0%This article: 0.0%Dave Urbanski: 0.5%Blaze Media: 0.7%Anchoring Bias0.0%This article: 0.0%Dave Urbanski: 4.9%Blaze Media: 3.2%Availability Heuristic0.0%This article: 0.0%Dave Urbanski: 0.6%Blaze Media: 1.0%Representativeness Heuristic0.0%This article: 0.0%Dave Urbanski: 1.0%Blaze Media: 0.8%Hindsight Bias0.0%This article: 0.0%Dave Urbanski: 0.1%Blaze Media: 1.6%Overconfidence Bias0.0%This article: 13.9%Dave Urbanski: 5.2%Blaze Media: 9.6%Framing Effect13.9%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.5%Loss Aversion0.0%This article: 3.4%Dave Urbanski: 0.3%Blaze Media: 0.5%Status Quo Bias3.4%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Sunk Cost Effect0.0%This article: 0.0%Dave Urbanski: 0.6%Blaze Media: 1.7%Optimism Bias0.0%This article: 0.0%Dave Urbanski: 0.7%Blaze Media: 1.6%Pessimism Bias0.0%This article: 13.9%Dave Urbanski: 11.4%Blaze Media: 9.8%Negativity Bias13.9%This article: 0.0%Dave Urbanski: 0.8%Blaze Media: 1.4%Self-Serving Bias0.0%This article: 7.7%Dave Urbanski: 1.4%Blaze Media: 1.1%Fundamental Attribution Error7.7%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.2%Actor-Observer Bias0.0%This article: 0.0%Dave Urbanski: 0.5%Blaze Media: 2.7%In-Group Bias0.0%This article: 0.0%Dave Urbanski: 0.4%Blaze Media: 1.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Dave Urbanski: 1.9%Blaze Media: 2.6%Halo Effect0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.4%Horn Effect0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Dunning-Kruger Effect0.0%This article: 0.0%Dave Urbanski: 1.0%Blaze Media: 1.1%Recency Bias0.0%This article: 0.0%Dave Urbanski: 0.2%Blaze Media: 0.5%Primacy Effect0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Blind-Spot Bias0.0%This article: 3.7%Dave Urbanski: 2.0%Blaze Media: 2.6%Ad Hominem3.7%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 1.2%Straw Man0.0%This article: 0.0%Dave Urbanski: 3.5%Blaze Media: 3.7%Appeal to Authority0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 2.4%False Dilemma0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 1.5%Slippery Slope0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Circular Reasoning0.0%This article: 12.7%Dave Urbanski: 1.2%Blaze Media: 8.9%Hasty Generalization12.7%This article: 0.0%Dave Urbanski: 0.6%Blaze Media: 0.8%Red Herring0.0%This article: 0.0%Dave Urbanski: 0.2%Blaze Media: 0.9%Bandwagon0.0%This article: 2.2%Dave Urbanski: 4.2%Blaze Media: 8.2%Appeal to Emotion2.2%This article: 0.0%Dave Urbanski: 0.2%Blaze Media: 1.5%Begging the Question0.0%This article: 0.0%Dave Urbanski: 0.6%Blaze Media: 2.5%Post Hoc (False Cause)0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Tu Quoque0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 1.0%Burden of Proof0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.3%Appeal to Nature0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.3%Composition/Division0.0%This article: 0.0%Dave Urbanski: 2.3%Blaze Media: 2.6%Anecdotal0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%No True Scotsman0.0%This article: 0.0%Dave Urbanski: 1.0%Blaze Media: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.1%Middle Ground0.0%This article: 0.0%Dave Urbanski: 0.1%Blaze Media: 0.1%Personal Incredulity0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Special Pleading0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.3%Genetic Fallacy0.0%This article: 3.7%Dave Urbanski: 4.1%Blaze Media: 2.8%Unattributed Quote3.7%This article: 9.9%Dave Urbanski: 2.5%Blaze Media: 2.2%Quote-first Misdirection9.9%This article: 6.2%Dave Urbanski: 6.2%Blaze Media: 10.6%Biased Writer Voice6.2%This article: 0.0%Dave Urbanski: 2.4%Blaze Media: 4.5%Indoctrination0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Dave Urbanski: 0.5%Blaze Media: 7.0%Politically Right Leaning Bias0.0%This article: 0.0%Dave Urbanski: 3.1%Blaze Media: 2.6%Attempt to Sell a Product or S…0.0%

324 words analyzed.

Speakers

3speakers41%attributed speech191writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 20 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageTempe police • 23 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageKSAZ-TV • 16 words • 0.0% coverageKSAZ • 20 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageKSAZ • 32 words • 0.0% coverageKSAZ-TV • 20 words • 0.0% coverageTempe police • 22 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverage
Selected voice

KSAZ

0%flagged-word coverage
52 attributed words39% of attributed speech58% writer coverage
0%10.0%20.0%Quote-first Misdirection-16.8 ptsWriter: 16.8%KSAZ: 0.0%0.0%Biased Writer Voice-10.5 ptsWriter: 10.5%KSAZ: 0.0%0.0%Unattributed Quote-6.3 ptsWriter: 6.3%KSAZ: 0.0%0.0%

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.