Gas Station Employee Dumps Bucket of Water on Man in Wheelchair After Telling Him to Leave: “Go” 43%

By Rachel Tolleson42%

7/9/2026, 11:33:00 PM

BS Summary: This article contains 22 faulty reasoning types, including Negativity Bias, Unattributed Quote, and Confirmation Bias, with Framing Effect as the most egregious example at 23% saturation with 115 hits. Analysis detected 758 faulty-reasoning hits from 500 analyzed words, generating a BS Score of 46.6% and a BS Rank of 43% (12,198 of 21,198 articles). This article is better (less manipulative) than 57.50% of the article peer group.

A video reshared on X is drawing attention after appearing to show a gas station employee throwing a bucket of water on a man in a wheelchair outside a convenience store. 
In the clip, the employee walks out of the store carrying a bucket. 
After briefly speaking with the man, he throws the water on him. 
The employee can be heard telling the man to go. 
The video ends there, so it is uncertain if the man did actually leave the premises. 
The post accompanying the video argues that employees should be allowed to use whatever means necessary to deal with people accused of loitering. 
Though the way that this employee did so was harmless, not everybody may see it that way. 
After repeatedly refusing to leave the premises, this man ended up getting a bucket of water dumped on him by an employee. pic.twitter.com/ybMnkqdIvD 
- Clown World ? 
(@ClownWorld) July 9, 2026 
Video Sparks Debate Over Employee Response 
Comments appear to be divided among whether or not this was acceptable behavior. 
One commenter wrote, “If it’s true  he was repeatedly asked to leave and he didn’t  then call the police for trespassing. 
This is uncalled for and could be classified as assault. 
Don’t let these people flip the script when you are trying to do the right thing for customers.” 
Another commenter described the incident as assault, saying that the police should have been called rather than have this sort of measure be taken by an employee. 
Handling it without authorities opens up the door things like lawsuits or charges of assault or abuse/ 
A few others bring up the fact that this man is in a wheelchair. 
One said, “He can’t be a pest, he’s in a wheelchair.” 
Because this is just a short clip we do not know the full story. 
The video does not provide enough context to explain why the employee wanted the man to leave. 
Several commenters argued police should have been called instead. 
“I loath the entities responsible for getting us here to have to deal w & treat each other this way,” said one user . 
This was just one comment among many about this situation. 
It does appear that comment consensus is that the police should have been called. 
Several commenters argued the employee’s actions could amount to assault, although no charges related to the incident were identified. 
The Daily Dot was unable to independently verify the circumstances leading up to the confrontation or what happened after the video ended. 
The clip does not show why the employee wanted the man to leave or whether law enforcement responded. 
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The post Gas Station Employee Dumps Bucket of Water on Man in Wheelchair After Telling Him to Leave: “Go” appeared first on The Daily Dot . 
Article reasoning-pattern comparisonThis article: 9.2%Rachel Tolleson: 3.9%dailydot.com: 4.3%Confirmation Bias9.2%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.9%Anchoring Bias0.0%This article: 9.0%Rachel Tolleson: 3.9%dailydot.com: 4.2%Availability Heuristic9.0%This article: 2.2%Rachel Tolleson: 0.6%dailydot.com: 1.2%Representativeness Heuristic2.2%This article: 0.0%Rachel Tolleson: 0.8%dailydot.com: 0.7%Hindsight Bias0.0%This article: 7.6%Rachel Tolleson: 2.1%dailydot.com: 1.5%Overconfidence Bias7.6%This article: 23.0%Rachel Tolleson: 5.3%dailydot.com: 4.9%Framing Effect23.0%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.6%Loss Aversion0.0%This article: 0.0%Rachel Tolleson: 0.5%dailydot.com: 0.5%Status Quo Bias0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.2%Sunk Cost Effect0.0%This article: 0.0%Rachel Tolleson: 1.5%dailydot.com: 1.1%Optimism Bias0.0%This article: 6.8%Rachel Tolleson: 1.9%dailydot.com: 1.3%Pessimism Bias6.8%This article: 10.6%Rachel Tolleson: 7.3%dailydot.com: 8.7%Negativity Bias10.6%This article: 0.0%Rachel Tolleson: 0.5%dailydot.com: 0.8%Self-Serving Bias0.0%This article: 0.0%Rachel Tolleson: 1.1%dailydot.com: 2.6%Fundamental Attribution Error0.0%This article: 5.4%Rachel Tolleson: 0.3%dailydot.com: 0.3%Actor-Observer Bias5.4%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: 0.0%Rachel Tolleson: 3.7%dailydot.com: 2.4%Halo Effect0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.3%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: 2.0%Rachel Tolleson: 0.5%dailydot.com: 0.4%Primacy Effect2.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%Blind-Spot Bias0.0%This article: 3.6%Rachel Tolleson: 1.2%dailydot.com: 2.0%Ad Hominem3.6%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 0.4%Straw Man0.0%This article: 0.0%Rachel Tolleson: 0.7%dailydot.com: 1.8%Appeal to Authority0.0%This article: 5.4%Rachel Tolleson: 1.7%dailydot.com: 2.3%False Dilemma5.4%This article: 8.0%Rachel Tolleson: 0.6%dailydot.com: 0.8%Slippery Slope8.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%Circular Reasoning0.0%This article: 4.6%Rachel Tolleson: 5.3%dailydot.com: 8.9%Hasty Generalization4.6%This article: 0.0%Rachel Tolleson: 0.2%dailydot.com: 0.3%Red Herring0.0%This article: 7.2%Rachel Tolleson: 2.3%dailydot.com: 2.4%Bandwagon7.2%This article: 7.6%Rachel Tolleson: 7.2%dailydot.com: 7.1%Appeal to Emotion7.6%This article: 4.6%Rachel Tolleson: 1.4%dailydot.com: 0.9%Begging the Question4.6%This article: 0.0%Rachel Tolleson: 0.4%dailydot.com: 1.4%Post Hoc (False Cause)0.0%This article: 0.0%Rachel Tolleson: 0.1%dailydot.com: 0.2%Tu Quoque0.0%This article: 2.8%Rachel Tolleson: 1.7%dailydot.com: 1.8%Burden of Proof2.8%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.2%Appeal to Nature0.0%This article: 2.2%Rachel Tolleson: 0.1%dailydot.com: 0.1%Composition/Division2.2%This article: 0.0%Rachel Tolleson: 2.7%dailydot.com: 7.3%Anecdotal0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.1%No True Scotsman0.0%This article: 9.2%Rachel Tolleson: 1.5%dailydot.com: 1.9%Ambiguity (Equivocation)9.2%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: 0.2%Middle Ground0.0%This article: 0.0%Rachel Tolleson: 0.0%dailydot.com: 0.3%Personal Incredulity0.0%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: 10.2%Rachel Tolleson: 6.9%dailydot.com: 4.9%Unattributed Quote10.2%This article: 0.0%Rachel Tolleson: 1.6%dailydot.com: 3.4%Quote-first Misdirection0.0%This article: 6.8%Rachel Tolleson: 6.3%dailydot.com: 3.9%Biased Writer Voice6.8%This article: 0.0%Rachel Tolleson: 1.0%dailydot.com: 1.5%Indoctrination0.0%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: 3.6%Rachel Tolleson: 3.6%dailydot.com: 2.0%Attempt to Sell a Product or S…3.6%

500 words analyzed.

Speakers

1speaker3.6%attributed speech482writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 17 words • 100.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageDaily Dot • 18 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverage
Selected voice

Daily Dot

100%flagged-word coverage
18 attributed words100% of attributed speech86% writer coverage
0%50.0%100.0%Attempt to Sell a Product +100.0 ptsWriter: 0.0%Daily Dot: 100.0%100.0%Unattributed Quote-10.6 ptsWriter: 10.6%Daily Dot: 0.0%0.0%Biased Writer Voice-7.1 ptsWriter: 7.1%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.