Heavy floods submerge roads in northern China as Bavi weakens to tropical storm - The Japan Times 17%

By No Author44% /author/int-no_author0% The Japan Times18%

7/13/2026, 1:50:00 AM

BS Summary: This article contains 8 faulty reasoning types, including Unattributed Quote, Framing Effect, and Biased Writer Voice, with Anecdotal as the most egregious example at 11.9% saturation with 35 hits. Analysis detected 129 faulty-reasoning hits from 293 analyzed words, generating a BS Score of 32.8% and a BS Rank of 17% (18,178 of 21,887 articles). This article is better (less manipulative) than 83.10% of the article peer group.

Heavy floods submerge roads in northern China as Bavi weakens to tropical storm 
A man clears tree branches knocked down by Typhoon Bavi in China's eastern Zhejiang province on Sunday. 
HONG KONG  Severe flooding in China’s northern Hebei province and northeastern Liaoning province submerged roads and swept away cars, while people swam, paddle-boarded and wake surfed along neighborhood streets, videos on social media ​showed. 
Water levels rose to more than 2 meters on roads in Kuancheng, a county in Hebei, according to a ‌resident’s account that ‌was broadcast by local official media. 
Kuancheng is home to around 240,000 people and is ​on the banks of the Luan River. 
How Putin turned Japan into a den of spies 
Global demand is reshaping secondhand fashion in Japan 
China’s demand for Soviet-style apartments shows limits to revival 
Japan successfully launches and lands reusable rocket 
Is ramen soup? 
An inquiry. 
Japan’s largest exhibition of women photographers rights a wrong in cultural history 
Over 70% of accommodations in Japan say they are understaffed amid tourism influx 
‘Princess Mononoke’ comes alive in Super Kabuki staging 
Okinawa’s prized seaweed under threat as oceans warm 
Kabukicho: Tokyo’s ‘stadium of desire’ 
Why Japan’s utility poles won’t be disappearing anytime soon 
Sompo looks beyond insurance to focus on well-being 
Sponsored contents planned and edited by JT Media Enterprise Division. 
広告出稿に関するおといあわせはこちらまで 
A pension shift in Japan may hurt some foreign money managers 
Akzo Nobel rejects $8.6 billion Nippon Paint offer for paint business 
Upper House passes bill to set up disaster management agency 
Man arrested after knife attack on four people in Oita Prefecture 
Man arrested after alleged attack leads to death at facility for disabled 
Article reasoning-pattern comparisonThis article: 0.0%No Author: 3.2%The Japan Times: 3.5%Confirmation Bias0.0%This article: 0.0%No Author: 1.6%The Japan Times: 1.9%Anchoring Bias0.0%This article: 0.0%No Author: 3.9%The Japan Times: 4.7%Availability Heuristic0.0%This article: 0.0%No Author: 1.0%The Japan Times: 1.3%Representativeness Heuristic0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.6%Hindsight Bias0.0%This article: 0.0%No Author: 1.6%The Japan Times: 2.0%Overconfidence Bias0.0%This article: 4.8%No Author: 11.2%The Japan Times: 14.4%Framing Effect4.8%This article: 0.0%No Author: 0.4%The Japan Times: 0.9%Loss Aversion0.0%This article: 0.0%No Author: 0.8%The Japan Times: 1.3%Status Quo Bias0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 0.0%No Author: 4.7%The Japan Times: 4.7%Optimism Bias0.0%This article: 0.0%No Author: 2.4%The Japan Times: 3.3%Pessimism Bias0.0%This article: 3.1%No Author: 9.6%The Japan Times: 11.6%Negativity Bias3.1%This article: 0.0%No Author: 1.0%The Japan Times: 0.8%Self-Serving Bias0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.8%Fundamental Attribution Error0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.2%Actor-Observer Bias0.0%This article: 0.0%No Author: 1.1%The Japan Times: 1.0%In-Group Bias0.0%This article: 0.0%No Author: 0.4%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%No Author: 1.8%The Japan Times: 1.5%Halo Effect0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%No Author: 1.9%The Japan Times: 2.2%Recency Bias0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.9%Primacy Effect0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Straw Man0.0%This article: 0.0%No Author: 4.8%The Japan Times: 5.5%Appeal to Authority0.0%This article: 0.0%No Author: 1.0%The Japan Times: 1.7%False Dilemma0.0%This article: 0.0%No Author: 0.6%The Japan Times: 1.0%Slippery Slope0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Circular Reasoning0.0%This article: 3.1%No Author: 3.0%The Japan Times: 4.5%Hasty Generalization3.1%This article: 0.0%No Author: 0.3%The Japan Times: 0.3%Red Herring0.0%This article: 0.0%No Author: 0.7%The Japan Times: 0.6%Bandwagon0.0%This article: 3.1%No Author: 3.6%The Japan Times: 3.6%Appeal to Emotion3.1%This article: 0.0%No Author: 0.7%The Japan Times: 0.9%Begging the Question0.0%This article: 0.0%No Author: 3.4%The Japan Times: 4.2%Post Hoc (False Cause)0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%No Author: 0.6%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Composition/Division0.0%This article: 11.9%No Author: 0.7%The Japan Times: 1.1%Anecdotal11.9%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 0.0%No Author: 2.3%The Japan Times: 3.0%Ambiguity (Equivocation)0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Middle Ground0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 0.0%No Author: 0.1%The Japan Times: 0.1%Special Pleading0.0%This article: 0.0%No Author: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 9.6%No Author: 5.3%The Japan Times: 4.6%Unattributed Quote9.6%This article: 0.0%No Author: 2.1%The Japan Times: 1.8%Quote-first Misdirection0.0%This article: 4.8%No Author: 6.3%The Japan Times: 9.0%Biased Writer Voice4.8%This article: 0.0%No Author: 1.4%The Japan Times: 1.6%Indoctrination0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%No Author: 0.2%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 3.8%No Author: 0.3%The Japan Times: 0.5%Attempt to Sell a Product or S…3.8%

293 words analyzed.

Speakers

1speaker3.4%attributed speech283writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 17 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageJT Media Enterprise Division • 10 words • 100.0% coverageWriter's voice • 1 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverage
100%flagged-word coverage
10 attributed words100% of attributed speech31% writer coverage
0%50.0%100.0%Attempt to Sell a Product +99.6 ptsWriter: 0.4%JT Media Enterprise Division: 100.0%100.0%Unattributed Quote-9.9 ptsWriter: 9.9%JT Media Enterprise Division: 0.0%0.0%Biased Writer Voice-4.9 ptsWriter: 4.9%JT Media Enterprise Division: 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.