Elderly Air Force veteran assaulted, robbed after withdrawing cash from ATM; video shows juvenile taking victim's wallet 18%

By Dave Urbanski32%

6/30/2026, 5:00:00 PM

BS Summary: This article contains 17 faulty reasoning types, including Appeal to Authority, Availability Heuristic, and Burden of Proof, with Negativity Bias as the most egregious example at 15.6% saturation with 69 hits. Analysis detected 478 faulty-reasoning hits from 443 analyzed words, generating a BS Score of 33.1% and a BS Rank of 18% (18,054 of 21,887 articles). This article is better (less manipulative) than 82.50% of the article peer group.

An elderly Air Force veteran was assaulted, injured, and robbed after withdrawing cash from an ATM in Pearland, Texas, earlier this month  and cellphone video shows a juvenile taking the victim's wallet. 
A KHOU-TV video report shows the end of the June 19 attack outside a Walgreens, with the victim lying on the ground in a parking space in front of the store. 
The 79-year-old veteran told the station he thought withdrawing cash from an ATM inside the store was safer. 
However, he added to KHOU that he suspects he was being watched. 
The elderly victim told the station he was jumped as soon as he walked out of the store and that he's thankful he suffered only minor injuries. 
Pearland police on Tuesday confirmed that the suspect seen in a video the department took down from its Facebook page has been identified as a juvenile, and "the investigation is ongoing as officers work to take him into custody." 
Police added that the video was removed because the suspect is a juvenile. 
Officers on June 19 responded to a robbery investigation at the Walgreens located in the 11600 block of Shadow Creek Parkway in Pearland, police said. 
The investigation revealed that a 79-year-old man had just completed a cash withdrawal from a nearby ATM when he was returning to his vehicle, police said. 
At that time, police said, an unidentified black male wearing a white shirt and black pants approached the man who had just withdrawn cash and assaulted him, causing bodily injury. 
Police said the suspect stole the victim's wallet and the cash he had just withdrawn. 
Detectives soon identified and arrested two additional suspects involved in the robbery: 
Donte Belle, 30, of Houston, was identified as the driver of the getaway vehicle, and he was charged with aggravated robbery, police said. 
Demondtra Moore, 23, of Houston, was identified as the alleged lookout, and he also was charged with aggravated robbery, police said. 
The Special Investigations Unit of the Pearland Police Department's Criminal Investigations Division is continuing to investigate this case, police said. 
A handful of people commented on the KHOU video showing the end of the attack. 
The following are a few reactions: 
"Throw those punks away," one commenter said. 
"Damn, I wished that man was armed," another user wrote. 
"How scary!! 
I know where this was. 
I go there when I come into town. 
But ...," another commenter exclaimed. 
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Article reasoning-pattern comparisonThis article: 2.7%Dave Urbanski: 1.9%Blaze Media: 5.6%Confirmation Bias2.7%This article: 0.0%Dave Urbanski: 0.5%Blaze Media: 0.7%Anchoring Bias0.0%This article: 10.4%Dave Urbanski: 4.9%Blaze Media: 3.2%Availability Heuristic10.4%This article: 6.8%Dave Urbanski: 0.6%Blaze Media: 1.0%Representativeness Heuristic6.8%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: 8.1%Dave Urbanski: 5.2%Blaze Media: 9.6%Framing Effect8.1%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.5%Loss Aversion0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 0.5%Status Quo Bias0.0%This article: 0.0%Dave Urbanski: 0.0%Blaze Media: 0.2%Sunk Cost Effect0.0%This article: 4.1%Dave Urbanski: 0.6%Blaze Media: 1.7%Optimism Bias4.1%This article: 8.4%Dave Urbanski: 0.7%Blaze Media: 1.6%Pessimism Bias8.4%This article: 15.6%Dave Urbanski: 11.4%Blaze Media: 9.8%Negativity Bias15.6%This article: 1.8%Dave Urbanski: 0.8%Blaze Media: 1.4%Self-Serving Bias1.8%This article: 0.0%Dave Urbanski: 1.4%Blaze Media: 1.1%Fundamental Attribution Error0.0%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: 0.0%Dave Urbanski: 2.0%Blaze Media: 2.6%Ad Hominem0.0%This article: 0.0%Dave Urbanski: 0.3%Blaze Media: 1.2%Straw Man0.0%This article: 13.3%Dave Urbanski: 3.5%Blaze Media: 3.7%Appeal to Authority13.3%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: 0.0%Dave Urbanski: 1.2%Blaze Media: 8.9%Hasty Generalization0.0%This article: 0.7%Dave Urbanski: 0.6%Blaze Media: 0.8%Red Herring0.7%This article: 0.0%Dave Urbanski: 0.2%Blaze Media: 0.9%Bandwagon0.0%This article: 4.3%Dave Urbanski: 4.2%Blaze Media: 8.2%Appeal to Emotion4.3%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: 9.9%Dave Urbanski: 0.3%Blaze Media: 1.0%Burden of Proof9.9%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: 6.8%Dave Urbanski: 2.3%Blaze Media: 2.6%Anecdotal6.8%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: 2.9%Dave Urbanski: 4.1%Blaze Media: 2.8%Unattributed Quote2.9%This article: 3.8%Dave Urbanski: 2.5%Blaze Media: 2.2%Quote-first Misdirection3.8%This article: 0.0%Dave Urbanski: 6.2%Blaze Media: 10.6%Biased Writer Voice0.0%This article: 3.8%Dave Urbanski: 2.4%Blaze Media: 4.5%Indoctrination3.8%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: 4.5%Dave Urbanski: 3.1%Blaze Media: 2.6%Attempt to Sell a Product or S…4.5%

443 words analyzed.

Speakers

1speaker8.8%attributed speech404writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 17 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 27 words • 0.0% coveragePearland police • 39 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 3 words • 100.0% coverage
Selected voice

Pearland police

100%flagged-word coverage
39 attributed words100% of attributed speech74% writer coverage
0%2.5%5.0%Attempt to Sell a Product -5.0 ptsWriter: 5.0%Pearland police: 0.0%0.0%Quote-first Misdirection-4.2 ptsWriter: 4.2%Pearland police: 0.0%0.0%Indoctrination-4.2 ptsWriter: 4.2%Pearland police: 0.0%0.0%Unattributed Quote-3.2 ptsWriter: 3.2%Pearland police: 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.