Detroit hosts the 45th National Veterans Wheelchair Games 27%

By Helena Najar36%

7/23/2026, 6:29:21 AM

BS Summary: This article contains 19 faulty reasoning types, including Biased Writer Voice, In-Group Bias, and Out-Group Homogeneity Bias, with Anecdotal as the most egregious example at 13.5% saturation with 56 hits. Analysis detected 470 faulty-reasoning hits from 415 analyzed words, generating a BS Score of 38.3% and a BS Rank of 27% (16,073 of 21,887 articles). This article is better (less manipulative) than 73.40% of the article peer group.

The 45 th annual National Veterans Wheelchair Games was held at Huntington Place in Detroit earlier this month. 
When the games began in 1981only 77 veterans gathered to participate. 
Now, over 500 vets compete in more than 20 events. 2026 marks the first time the games were held in Detroit and brought people from across the nation to the city. 
“Detroit is proud to be home of more than 22,000 veterans,” Victoria Westbrooks addressed the crowd on behalf of Mayor Mary Sheffield. 
“And we are committed to supporting those who have served our nation. 
Hosting this milestone event is a reflection of that commitment and our city’s spirit of resilience.” 
One of the many competitors was Lisa Maddox, who served in the Army for nine years. 
Maddox competes in many events including pickleball, table tennis, softball, basketball, field events and air pistol. 
She says she enjoys the wheelchairs games not only for sports, but for the unique opportunity it presents. 
“There’s a camaraderie that not just having a disability but also being a veteran that is here. 
That is not the same in other adaptive competitions,” Maddox said. 
Maddox says vets have a deep connection. 
“Even though we’re different services we all went through what I call a ‘similar suck’ in BASIC training or bootcamp. 
It’s hell. 
And we all went through that BASIC training so that’s the similarity.” 
William Ward served in the military for 16 years and has participated in the games for many years. 
At the 2026 games, he competed in the wheelchair slalom, a sort of obstacle course race. 
“This is the one event that’s one of the toughest,” Ward says. 
“I stopped doing it for like the last two years and because it’s always a challenge, one of the hardest ones. 
I don’t know my results yet, but I think I did pretty good.” 
The Detroit games were the fourth for Air Force Veteran Eva De Jesus. 
She says the event has helped her grow as a person. 
“It’s more than sports,” De Jesus says. 
“For me, it’s the community, the people you meet, how you see people in, sadly, worse conditions than you are and do more than you do. 
So, for me it’s just a learning and beautiful experience to be here.” 
The 2026 Wheelchair Games’ opening ceremony was held on July 8 and it ended with a closing ceremony on July 14. 
This story originally aired July 15, 2026. 
Article reasoning-pattern comparisonThis article: 2.9%Helena Najar: 1.0%WDET: 1.7%Confirmation Bias2.9%This article: 2.7%Helena Najar: 0.9%WDET: 0.4%Anchoring Bias2.7%This article: 0.0%Helena Najar: 0.0%WDET: 2.3%Availability Heuristic0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.7%Representativeness Heuristic0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.2%Hindsight Bias0.0%This article: 0.0%Helena Najar: 2.7%WDET: 1.0%Overconfidence Bias0.0%This article: 4.6%Helena Najar: 1.5%WDET: 4.7%Framing Effect4.6%This article: 0.0%Helena Najar: 0.0%WDET: 0.9%Loss Aversion0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.3%Status Quo Bias0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Sunk Cost Effect0.0%This article: 6.3%Helena Najar: 5.2%WDET: 3.5%Optimism Bias6.3%This article: 5.1%Helena Najar: 1.7%WDET: 0.9%Pessimism Bias5.1%This article: 6.3%Helena Najar: 2.1%WDET: 3.4%Negativity Bias6.3%This article: 2.7%Helena Najar: 0.9%WDET: 1.6%Self-Serving Bias2.7%This article: 0.0%Helena Najar: 0.0%WDET: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Actor-Observer Bias0.0%This article: 8.9%Helena Najar: 9.7%WDET: 1.2%In-Group Bias8.9%This article: 8.9%Helena Najar: 3.9%WDET: 0.6%Out-Group Homogeneity Bias8.9%This article: 5.5%Helena Najar: 1.8%WDET: 5.6%Halo Effect5.5%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Horn Effect0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Helena Najar: 2.5%WDET: 0.9%Recency Bias0.0%This article: 7.5%Helena Najar: 2.5%WDET: 0.3%Primacy Effect7.5%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Blind-Spot Bias0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.2%Ad Hominem0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Straw Man0.0%This article: 0.0%Helena Najar: 0.0%WDET: 3.3%Appeal to Authority0.0%This article: 0.0%Helena Najar: 0.0%WDET: 1.0%False Dilemma0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Slippery Slope0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Circular Reasoning0.0%This article: 6.7%Helena Najar: 6.4%WDET: 3.4%Hasty Generalization6.7%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Red Herring0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.5%Bandwagon0.0%This article: 6.7%Helena Najar: 2.2%WDET: 4.6%Appeal to Emotion6.7%This article: 0.0%Helena Najar: 0.0%WDET: 0.6%Begging the Question0.0%This article: 2.7%Helena Najar: 0.9%WDET: 1.5%Post Hoc (False Cause)2.7%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Tu Quoque0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.4%Burden of Proof0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Appeal to Nature0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Composition/Division0.0%This article: 13.5%Helena Najar: 6.1%WDET: 1.8%Anecdotal13.5%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%No True Scotsman0.0%This article: 0.0%Helena Najar: 0.0%WDET: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Middle Ground0.0%This article: 5.1%Helena Najar: 1.7%WDET: 0.1%Personal Incredulity5.1%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Special Pleading0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.0%Genetic Fallacy0.0%This article: 5.3%Helena Najar: 1.8%WDET: 0.8%Unattributed Quote5.3%This article: 0.0%Helena Najar: 0.0%WDET: 0.7%Quote-first Misdirection0.0%This article: 9.2%Helena Najar: 3.1%WDET: 4.1%Biased Writer Voice9.2%This article: 2.9%Helena Najar: 1.0%WDET: 2.6%Indoctrination2.9%This article: 0.0%Helena Najar: 0.0%WDET: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Helena Najar: 0.0%WDET: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Helena Najar: 0.0%WDET: 7.1%Attempt to Sell a Product or S…0.0%

415 words analyzed.

Speakers

4speakers66%attributed speech143writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageVictoria Westbrooks • 22 words • 100.0% coverageVictoria Westbrooks • 12 words • 100.0% coverageVictoria Westbrooks • 16 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageLisa Maddox • 16 words • 0.0% coverageLisa Maddox • 18 words • 0.0% coverageLisa Maddox • 17 words • 0.0% coverageLisa Maddox • 11 words • 0.0% coverageLisa Maddox • 7 words • 0.0% coverageLisa Maddox • 20 words • 0.0% coverageLisa Maddox • 2 words • 0.0% coverageLisa Maddox • 12 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWilliam Ward • 16 words • 0.0% coverageWilliam Ward • 12 words • 0.0% coverageWilliam Ward • 21 words • 0.0% coverageWilliam Ward • 13 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageEva De Jesus • 11 words • 0.0% coverageEva De Jesus • 7 words • 0.0% coverageEva De Jesus • 26 words • 0.0% coverageEva De Jesus • 13 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverage
Selected voice

Eva De Jesus

100%flagged-word coverage
57 attributed words21% of attributed speech29% 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.