“Look What You’ve Done to Your Family”: Woman Confronts Alleged Drunk Driver After Crash Into Hull Traffic Light 54%

By Rachel Tolleson42%

7/19/2026, 1:00:00 PM

BS Summary: This article contains 25 faulty reasoning types, including Unattributed Quote, Negativity Bias, and Anecdotal, with Biased Writer Voice as the most egregious example at 27.7% saturation with 164 hits. Analysis detected 1,193 faulty-reasoning hits from 593 analyzed words, generating a BS Score of 52.3% and a BS Rank of 54% (10,125 of 21,887 articles). This article is worse (more manipulative) than 53.70% of the article peer group.

A video shared on X appears to show the aftermath of a crash involving a driver whom bystanders accuse of drinking before getting behind the wheel. 
In Kingston upon Hull, or simply shortened as Hull, a video emerged of a furious woman outside of a car that had crashed into a lamppost, with the driver, a man, still seated in the car. 
The vehicle appears to have damage to its front corner, while the rest of the exterior appears largely intact. 
There are also two girls in the video standing on the sidewalk, visibly upset, with a woman between them holding them close. 
A man is standing with them, comforting the woman and the girls. 
He stands with them while speaking to the woman. 
As the woman frantically looks through her phone, the other woman appears and gently tells her to calm down so that she can properly look for what she needs to. 
This drunk driver in Hull not only faces the consequences of the law but also the wrath of his wife after crashing into this traffic light, I believe, earlier today. 
She appears to say she knows he’s had a drink so it’s a little late to be mad at him. 
Unbelievable. pic.twitter.com/3n3Ub4uSDb 
- Kiera Diss (@KieraDiss) July 12, 2026 
The camera person moves to the car, and they can be heard asking, “Is that your wife?” 
to the man still inside, who confirms that it is. 
“She’s angry with you,” the camera person continues. 
“She’s angry,” the man agrees. 
He acknowledges her reaction but offers no further explanation. 
The wife, after hearing it, furiously walks over to the car window and begins yelling at her husband, alleging that he had been drinking while driving with his family in the vehicle. 
“Look what you’ve done to your family,” says the man behind the camera again. 
The compassion of bystanders did not go unacknowledged 
“Kudos to the British people for being so compassionate to these women,” said one user in the comments, referring to the man and woman who were helping this family out. 
The account who posted the video posted a follow-up on the series of events with a longer video. 
According to the OP (original poster), a woman with a pushchair was passing when he crashed into the traffic light,” the person said. 
“This could have ended in tragedy but the video ends with the driver poking his tongue out in defiance.” 
I was going to cut this video down but the entire interaction must be seen and I hope the couple who took it has supplied it to police also. 
This man was loose on the roads of Hull, clearly inebriated and in no fit state to drive, with his wife and daughters in the car.… https://t.co/fGBUXSEBNu pic.twitter.com/0iafYXWuhx 
- Kiera Diss (@KieraDiss) July 12, 2026 
It is unclear what the outcome of this accident was, or what happened with the driver and his family. 
Drinking and driving is never worth it, and especially when you have others in the car. 
The Daily Dot was unable to independently verify the claims made in the X post or the circumstances surrounding the crash shown in the video. 
Sign up to receive the Daily Dot’s Internet Insider newsletter for urgent news from the frontline of online. 
The post “Look What You’ve Done to Your Family”: Woman Confronts Alleged Drunk Driver After Crash Into Hull Traffic Light appeared first on The Daily Dot . 
Article reasoning-pattern comparisonThis article: 17.0%Rachel Tolleson: 3.9%dailydot.com: 4.3%Confirmation Bias17.0%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.9%Anchoring Bias0.0%This article: 4.4%Rachel Tolleson: 3.9%dailydot.com: 4.2%Availability Heuristic4.4%This article: 0.0%Rachel Tolleson: 0.6%dailydot.com: 1.1%Representativeness Heuristic0.0%This article: 0.0%Rachel Tolleson: 0.8%dailydot.com: 0.7%Hindsight Bias0.0%This article: 5.1%Rachel Tolleson: 2.1%dailydot.com: 1.6%Overconfidence Bias5.1%This article: 8.1%Rachel Tolleson: 5.3%dailydot.com: 4.9%Framing Effect8.1%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.6%Loss Aversion0.0%This article: 3.2%Rachel Tolleson: 0.5%dailydot.com: 0.5%Status Quo Bias3.2%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.2%Sunk Cost Effect0.0%This article: 4.9%Rachel Tolleson: 1.5%dailydot.com: 1.2%Optimism Bias4.9%This article: 7.8%Rachel Tolleson: 1.9%dailydot.com: 1.4%Pessimism Bias7.8%This article: 23.4%Rachel Tolleson: 7.3%dailydot.com: 8.7%Negativity Bias23.4%This article: 0.0%Rachel Tolleson: 0.5%dailydot.com: 0.8%Self-Serving Bias0.0%This article: 3.4%Rachel Tolleson: 1.1%dailydot.com: 2.5%Fundamental Attribution Error3.4%This article: 0.0%Rachel Tolleson: 0.3%dailydot.com: 0.3%Actor-Observer Bias0.0%This article: 0.0%Rachel Tolleson: 2.7%dailydot.com: 1.5%In-Group Bias0.0%This article: 0.0%Rachel Tolleson: 1.1%dailydot.com: 1.3%Out-Group Homogeneity Bias0.0%This article: 3.4%Rachel Tolleson: 3.7%dailydot.com: 2.4%Halo Effect3.4%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.2%Horn Effect0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%Dunning-Kruger Effect0.0%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.7%Recency Bias0.0%This article: 0.0%Rachel Tolleson: 0.5%dailydot.com: 0.4%Primacy Effect0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%Blind-Spot Bias0.0%This article: 0.0%Rachel Tolleson: 1.2%dailydot.com: 1.9%Ad Hominem0.0%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.4%Straw Man0.0%This article: 3.9%Rachel Tolleson: 0.7%dailydot.com: 1.9%Appeal to Authority3.9%This article: 2.7%Rachel Tolleson: 1.7%dailydot.com: 2.2%False Dilemma2.7%This article: 0.0%Rachel Tolleson: 0.6%dailydot.com: 0.8%Slippery Slope0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%Circular Reasoning0.0%This article: 4.7%Rachel Tolleson: 5.3%dailydot.com: 8.9%Hasty Generalization4.7%This article: 0.0%Rachel Tolleson: 0.2%dailydot.com: 0.3%Red Herring0.0%This article: 5.1%Rachel Tolleson: 2.3%dailydot.com: 2.4%Bandwagon5.1%This article: 7.3%Rachel Tolleson: 7.2%dailydot.com: 7.1%Appeal to Emotion7.3%This article: 9.8%Rachel Tolleson: 1.4%dailydot.com: 0.9%Begging the Question9.8%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 1.5%Post Hoc (False Cause)0.0%This article: 0.0%Rachel Tolleson: 0.1%dailydot.com: 0.2%Tu Quoque0.0%This article: 4.9%Rachel Tolleson: 1.7%dailydot.com: 1.9%Burden of Proof4.9%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.2%Appeal to Nature0.0%This article: 0.0%Rachel Tolleson: 0.1%dailydot.com: 0.1%Composition/Division0.0%This article: 18.7%Rachel Tolleson: 2.7%dailydot.com: 7.4%Anecdotal18.7%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%No True Scotsman0.0%This article: 3.4%Rachel Tolleson: 1.5%dailydot.com: 1.9%Ambiguity (Equivocation)3.4%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Rachel Tolleson: 0.5%dailydot.com: 0.3%Middle Ground0.0%This article: 0.3%Rachel Tolleson: 0.0%dailydot.com: 0.3%Personal Incredulity0.3%This article: 0.0%Rachel Tolleson: 0.5%dailydot.com: 0.1%Special Pleading0.0%This article: 0.0%Rachel Tolleson: 0.2%dailydot.com: 0.2%Genetic Fallacy0.0%This article: 24.1%Rachel Tolleson: 6.9%dailydot.com: 5.1%Unattributed Quote24.1%This article: 2.4%Rachel Tolleson: 1.6%dailydot.com: 3.4%Quote-first Misdirection2.4%This article: 27.7%Rachel Tolleson: 6.3%dailydot.com: 4.0%Biased Writer Voice27.7%This article: 2.7%Rachel Tolleson: 1.0%dailydot.com: 1.6%Indoctrination2.7%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Rachel Tolleson: 1.0%dailydot.com: 0.8%Politically Right Leaning Bias0.0%This article: 3.0%Rachel Tolleson: 3.6%dailydot.com: 1.9%Attempt to Sell a Product or S…3.0%

593 words analyzed.

Speakers

2speakers5.4%attributed speech561writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 18 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageKiera Diss • 7 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageKiera Diss • 7 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageDaily Dot • 18 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverage
Selected voice

Daily Dot

100%flagged-word coverage
18 attributed words56% of attributed speech78% writer coverage
0%50.0%100.0%Attempt to Sell a Product +100.0 ptsWriter: 0.0%Daily Dot: 100.0%100.0%Biased Writer Voice-29.2 ptsWriter: 29.2%Daily Dot: 0.0%0.0%Unattributed Quote-25.5 ptsWriter: 25.5%Daily Dot: 0.0%0.0%Indoctrination-2.9 ptsWriter: 2.9%Daily Dot: 0.0%0.0%Quote-first Misdirection-2.5 ptsWriter: 2.5%Daily Dot: 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.