Distracted walkers in Japan are a real safety risk. My mother knows firsthand. 9%

By Alex K.t. Martin0%

6/21/2026, 3:40:00 AM

BS Summary: This article contains 20 faulty reasoning types, including Representativeness Heuristic, Negativity Bias, and Appeal to Authority, with Unattributed Quote as the most egregious example at 17.8% saturation with 82 hits. Analysis detected 682 faulty-reasoning hits from 460 analyzed words, generating a BS Score of 25.2% and a BS Rank of 9% (19,445 of 21,175 articles). This article is better (less manipulative) than 91.80% of the article peer group.

At around 8:45 a.m. on Friday, June 5, my mother was knocked over by a man staring at his smartphone as he exited the ticket gates of the Seibu Ikebukuro Line at Ikebukuro, one of the busiest train stations in Tokyo. 
My mother, 78, has a bad left knee and uses a cane whenever she goes out. 
She struck the right side of her face on the ground. 
By the time I arrived about 15 minutes later  we had planned to meet on the platform before boarding an express train  she was sitting in a Seibu staff room, assisted by station employees. 
Her right forehead was swollen and would soon force her right eye shut. 
A three-centimeter laceration beneath her eye was bleeding heavily. 
“I told him to watch out and raised my hand to keep my distance, but it was too late,” she told me. 
The incident is hardly unique. 
In Tokyo and other major Japanese cities, aruki-sumaho  walking while using a smartphone  has become a persistent safety concern as commuters navigate crowded stations and sidewalks while focused on their devices. 
Despite years of awareness campaigns by rail operators and mobile phone carriers, the behavior remains widespread. 
Police officers and ambulance crews arrived shortly afterward. 
The man involved in the collision remained at the station, waiting in an adjacent room. 
My mother said that he should be allowed to leave and continue on his way. 
Her priority was receiving prompt medical treatment for the bleeding. 
We boarded the ambulance and headed to a hospital, where she underwent a CT scan and received stitches for the cut. 
Fortunately, there were no broken bones and no signs of a brain hemorrhage. 
Still, it was the realization of a long-held fear: being injured by a distracted pedestrian absorbed in a smartphone screen. 
According to the Tokyo Fire Department, 171 people were taken to hospital by ambulance between 2021 and 2025 after accidents involving people looking at or operating smartphones while walking or cycling. 
Forty-three such cases were recorded in 2025 alone. 
Falls were the most common cause of injury, accounting for 71 cases, or more than 40% of the total. 
Another 47 people were injured falling from elevated locations, while 46 were hurt in collisions with other people or objects. 
Roughly 70% of ambulance transports occurred in places such as sidewalks and train stations. 
These figures, however, do not include people injured by distracted smartphone users, such as my mother, said an official at the community safety section in the Tokyo Fire Department’s disaster prevention and public safety division, suggesting the true number of smartphone-related accidents may be higher. 
“A lot of the cases occur... 
Article reasoning-pattern comparisonThis article: 0.0%Alex K.t. Martin: 1.1%The Japan Times: 3.5%Confirmation Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 1.9%Anchoring Bias0.0%This article: 6.1%Alex K.t. Martin: 7.1%The Japan Times: 4.7%Availability Heuristic6.1%This article: 17.0%Alex K.t. Martin: 4.2%The Japan Times: 1.3%Representativeness Heuristic17.0%This article: 4.3%Alex K.t. Martin: 1.1%The Japan Times: 0.6%Hindsight Bias4.3%This article: 9.8%Alex K.t. Martin: 2.4%The Japan Times: 2.0%Overconfidence Bias9.8%This article: 9.1%Alex K.t. Martin: 2.8%The Japan Times: 14.3%Framing Effect9.1%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.8%Loss Aversion0.0%This article: 3.5%Alex K.t. Martin: 0.9%The Japan Times: 1.3%Status Quo Bias3.5%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 2.8%Alex K.t. Martin: 0.7%The Japan Times: 4.7%Optimism Bias2.8%This article: 3.5%Alex K.t. Martin: 1.7%The Japan Times: 3.3%Pessimism Bias3.5%This article: 11.7%Alex K.t. Martin: 6.3%The Japan Times: 11.5%Negativity Bias11.7%This article: 3.3%Alex K.t. Martin: 0.8%The Japan Times: 0.8%Self-Serving Bias3.3%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Actor-Observer Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 1.1%In-Group Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 1.5%Halo Effect0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 1.7%Alex K.t. Martin: 0.9%The Japan Times: 2.2%Recency Bias1.7%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.9%Primacy Effect0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Straw Man0.0%This article: 10.2%Alex K.t. Martin: 5.0%The Japan Times: 5.6%Appeal to Authority10.2%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 1.6%False Dilemma0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 1.0%Slippery Slope0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.2%Circular Reasoning0.0%This article: 3.0%Alex K.t. Martin: 1.3%The Japan Times: 4.5%Hasty Generalization3.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.3%Red Herring0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.6%Bandwagon0.0%This article: 9.8%Alex K.t. Martin: 2.4%The Japan Times: 3.6%Appeal to Emotion9.8%This article: 7.2%Alex K.t. Martin: 1.8%The Japan Times: 0.9%Begging the Question7.2%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 4.2%Post Hoc (False Cause)0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.2%Composition/Division0.0%This article: 6.5%Alex K.t. Martin: 1.8%The Japan Times: 1.0%Anecdotal6.5%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 9.8%Alex K.t. Martin: 2.4%The Japan Times: 3.0%Ambiguity (Equivocation)9.8%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Middle Ground0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.1%Special Pleading0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 17.8%Alex K.t. Martin: 4.8%The Japan Times: 4.5%Unattributed Quote17.8%This article: 1.3%Alex K.t. Martin: 0.3%The Japan Times: 1.8%Quote-first Misdirection1.3%This article: 9.8%Alex K.t. Martin: 2.4%The Japan Times: 8.9%Biased Writer Voice9.8%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 1.6%Indoctrination0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Alex K.t. Martin: 0.0%The Japan Times: 0.5%Attempt to Sell a Product or S…0.0%

460 words analyzed.

Speakers

1speaker17%attributed speech384writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageTokyo Fire Department • 31 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageTokyo Fire Department • 45 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverage
Selected voice

Tokyo Fire Department

100%flagged-word coverage
76 attributed words100% of attributed speech48% writer coverage
0%30.0%60.0%Biased Writer Voice+59.2 ptsWriter: 0.0%Tokyo Fire Department: 59.2%59.2%Unattributed Quote+49.6 ptsWriter: 9.6%Tokyo Fire Department: 59.2%59.2%Quote-first Misdirection-1.6 ptsWriter: 1.6%Tokyo Fire Department: 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.