Man Gives Elderly Widow Free Firewood, Sparks Debate After Filming the Encounter: ‘Jesus Wouldn’t Have Made Content Out of It’ 36%

By Jennifer55%

7/24/2026, 4:26:00 PM

BS Summary: This article contains 22 faulty reasoning types, including Anecdotal, Appeal to Emotion, and Halo Effect, with Burden of Proof as the most egregious example at 24.8% saturation with 155 hits. Analysis detected 1,142 faulty-reasoning hits from 625 analyzed words, generating a BS Score of 42.8% and a BS Rank of 36% (14,189 of 21,887 articles). This article is better (less manipulative) than 64.80% of the article peer group.

A video shared on X has sparked debate after it showed a man delivering free firewood to an elderly widow and documenting the interaction. 
In a clip shared by X user @mattvanswol, a man can be seen filming himself visiting an elderly woman at her home. 
According to the X user’s caption, the man received a call from the woman, whose name is Nana Abernathy, saying she needed some firewood because she was cold and couldn’t heat her home. 
Her husband had recently passed away, and she was having difficulty getting by on her own. 
The man, who is allegedly the owner of a tree company, showed up with a truckload of firewood at no cost to her. 
In December, an 85-year-old North Carolina widow called a tree company begging for firewood, she said she was cold and couldn't heat her home. 
The owner delivered it free and then fixed her roof, her heat, her car, raised $20,000 for her Christmas… and STILL maintains her… pic.twitter.com/kJOnxZnTJZ 
- Matt Van Swol (@mattvanswol) July 23, 2026 
The X Post Also Claims He Repaired Her Roof and Heating Unit 
After telling the woman he was giving her a load of firewood for free and that he “ain’t coming back for no money,” she begins to tear up over the generous gesture. 
He tells her he knows she said she was having a rough time and that he’s just trying to help people out. 
He also says he wanted to give her something before Christmas. 
“That’s the nicest Christmas present I could get,” she says as she chokes back tears. 
While he filmed that entire interaction, the clip then jumps to another visit he made to her home during warmer weather. 
It shows him and his team clearing out the area where the firewood was stored before putting down red mulch and flowers. 
According to the X user, the man not only gave her free firewood chopped into smaller pieces so she could manage it, but also fixed her roof, repaired her heating unit, put new tires on her car, and even raised $20,000 for her for Christmas. 
The post also claims he continues to maintain her property for free and checks on her every week. 
God Bless this dude and his entire crew and their families and this little old lady ? 
And no, Jesus wouldn’t have made content out of this thing. 
But others would make sure to do that. 
The message for all of us is to pay it forward and to show kindness and compassion. 
- Muña Zaldrīzoti (Mother of Dragons) (@AnogarZaldrizo) July 24, 2026 
But not everyone was quick to commend his generous acts. 
“Well that WOULD have been great if he hadn’t filmed himself,” one person wrote. 
Another commented, “Jesus wouldn’t have made content out of all of it…” Others, however, applauded him. 
“Oh man, this is what it’s about,” one person wrote. 
“God bless this dude,” another added. 
And someone else called him a “real American.” 
Another commenter, however, summarized the message they took from the video, writing, “The message for all of us is to pay it forward and to show kindness and compassion.” 
The Daily Dot was unable to independently verify the events described in the viral post. 
The reporting above is based on footage shared online and publicly available social media commentary. 
Sign up to receive the Daily Dot’s Internet Insider newsletter for urgent news from the frontline of online. 
The post Man Gives Elderly Widow Free Firewood, Sparks Debate After Filming the Encounter: ‘Jesus Wouldn’t Have Made Content Out of It’ appeared first on The Daily Dot . 
Article reasoning-pattern comparisonThis article: 13.6%Jennifer: 5.4%dailydot.com: 4.3%Confirmation Bias13.6%This article: 0.0%Jennifer: 0.6%dailydot.com: 0.9%Anchoring Bias0.0%This article: 3.8%Jennifer: 4.8%dailydot.com: 4.2%Availability Heuristic3.8%This article: 0.0%Jennifer: 0.4%dailydot.com: 1.1%Representativeness Heuristic0.0%This article: 0.0%Jennifer: 1.4%dailydot.com: 0.7%Hindsight Bias0.0%This article: 0.0%Jennifer: 2.0%dailydot.com: 1.6%Overconfidence Bias0.0%This article: 5.4%Jennifer: 4.5%dailydot.com: 4.9%Framing Effect5.4%This article: 0.0%Jennifer: 0.3%dailydot.com: 0.6%Loss Aversion0.0%This article: 2.9%Jennifer: 0.4%dailydot.com: 0.5%Status Quo Bias2.9%This article: 0.0%Jennifer: 0.0%dailydot.com: 0.2%Sunk Cost Effect0.0%This article: 8.8%Jennifer: 0.6%dailydot.com: 1.2%Optimism Bias8.8%This article: 0.0%Jennifer: 1.4%dailydot.com: 1.4%Pessimism Bias0.0%This article: 7.2%Jennifer: 9.7%dailydot.com: 8.7%Negativity Bias7.2%This article: 0.0%Jennifer: 0.8%dailydot.com: 0.8%Self-Serving Bias0.0%This article: 0.0%Jennifer: 3.9%dailydot.com: 2.5%Fundamental Attribution Error0.0%This article: 0.0%Jennifer: 0.7%dailydot.com: 0.3%Actor-Observer Bias0.0%This article: 4.0%Jennifer: 0.8%dailydot.com: 1.5%In-Group Bias4.0%This article: 0.0%Jennifer: 0.5%dailydot.com: 1.3%Out-Group Homogeneity Bias0.0%This article: 17.1%Jennifer: 2.6%dailydot.com: 2.4%Halo Effect17.1%This article: 0.0%Jennifer: 0.1%dailydot.com: 0.2%Horn Effect0.0%This article: 0.0%Jennifer: 0.4%dailydot.com: 0.1%Dunning-Kruger Effect0.0%This article: 0.0%Jennifer: 0.8%dailydot.com: 0.7%Recency Bias0.0%This article: 4.6%Jennifer: 0.9%dailydot.com: 0.4%Primacy Effect4.6%This article: 0.0%Jennifer: 0.1%dailydot.com: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jennifer: 1.7%dailydot.com: 1.9%Ad Hominem0.0%This article: 0.0%Jennifer: 0.2%dailydot.com: 0.4%Straw Man0.0%This article: 4.3%Jennifer: 2.8%dailydot.com: 1.9%Appeal to Authority4.3%This article: 2.6%Jennifer: 2.8%dailydot.com: 2.2%False Dilemma2.6%This article: 0.0%Jennifer: 0.6%dailydot.com: 0.8%Slippery Slope0.0%This article: 0.0%Jennifer: 0.2%dailydot.com: 0.1%Circular Reasoning0.0%This article: 8.6%Jennifer: 8.8%dailydot.com: 8.9%Hasty Generalization8.6%This article: 2.4%Jennifer: 0.4%dailydot.com: 0.3%Red Herring2.4%This article: 3.8%Jennifer: 3.0%dailydot.com: 2.4%Bandwagon3.8%This article: 19.8%Jennifer: 8.7%dailydot.com: 7.1%Appeal to Emotion19.8%This article: 0.0%Jennifer: 1.0%dailydot.com: 0.9%Begging the Question0.0%This article: 0.0%Jennifer: 1.9%dailydot.com: 1.5%Post Hoc (False Cause)0.0%This article: 0.0%Jennifer: 0.5%dailydot.com: 0.2%Tu Quoque0.0%This article: 24.8%Jennifer: 2.4%dailydot.com: 1.9%Burden of Proof24.8%This article: 0.0%Jennifer: 0.5%dailydot.com: 0.2%Appeal to Nature0.0%This article: 0.0%Jennifer: 0.1%dailydot.com: 0.1%Composition/Division0.0%This article: 21.8%Jennifer: 6.1%dailydot.com: 7.4%Anecdotal21.8%This article: 0.0%Jennifer: 0.1%dailydot.com: 0.1%No True Scotsman0.0%This article: 0.0%Jennifer: 2.4%dailydot.com: 1.9%Ambiguity (Equivocation)0.0%This article: 0.0%Jennifer: 0.0%dailydot.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jennifer: 0.1%dailydot.com: 0.3%Middle Ground0.0%This article: 0.0%Jennifer: 0.0%dailydot.com: 0.3%Personal Incredulity0.0%This article: 0.0%Jennifer: 0.1%dailydot.com: 0.1%Special Pleading0.0%This article: 4.0%Jennifer: 0.3%dailydot.com: 0.2%Genetic Fallacy4.0%This article: 0.0%Jennifer: 6.7%dailydot.com: 5.1%Unattributed Quote0.0%This article: 5.3%Jennifer: 3.7%dailydot.com: 3.4%Quote-first Misdirection5.3%This article: 3.8%Jennifer: 4.7%dailydot.com: 4.0%Biased Writer Voice3.8%This article: 11.0%Jennifer: 2.1%dailydot.com: 1.6%Indoctrination11.0%This article: 0.0%Jennifer: 0.0%dailydot.com: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Jennifer: 0.5%dailydot.com: 0.8%Politically Right Leaning Bias0.0%This article: 2.9%Jennifer: 1.2%dailydot.com: 1.9%Attempt to Sell a Product or S…2.9%

625 words analyzed.

Speakers

3speakers18%attributed speech511writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 20 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverage@mattvanswol • 33 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverage@mattvanswol • 8 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverage@mattvanswol • 45 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageMuña Zaldrīzoti (Mother of Dragons) • 10 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 14 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 • 8 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageDaily Dot • 18 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverage
Selected voice

@mattvanswol

91%flagged-word coverage
86 attributed words75% of attributed speech69% writer coverage
0%20.0%40.0%Quote-first Misdirection+38.4 ptsWriter: 0.0%@mattvanswol: 38.4%38.4%Indoctrination-13.5 ptsWriter: 13.5%@mattvanswol: 0.0%0.0%Biased Writer Voice-4.7 ptsWriter: 4.7%@mattvanswol: 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.