Typhoon Bavi batters eastern China 2%

By No Author43% author19% int-no_author0% The Japan Times17%

7/12/2026, 9:25:00 AM

Keywords: Typhoons, Taiwan, China, Bavi

BS Summary: This article contains 8 faulty reasoning types, including Framing Effect, Availability Heuristic, and Halo Effect, with Negativity Bias as the most egregious example at 20.4% saturation with 68 hits. Analysis detected 148 faulty-reasoning hits from 334 analyzed words, generating a BS Score of 9.9% and a BS Rank of 2% (20,886 of 21,175 articles). This article is better (less manipulative) than 98.60% of the article peer group.

Typhoon Bavi batters eastern China, threatens days of heavy rain 
A person rides an electric scooter through a flooded road after heavy rain brought by Typhoon Bavi in Wenzhou, Zhejiang province, China, on Sunday. 
WENZHOU, China  Typhoon Bavi, the most powerful storm to strike mainland China this year, brought heavy rain to the eastern coast on Sunday and lashed densely populated cities with violent winds, testing the country’s ability to cope with extreme weather. 
Bavi had weakened by Sunday morning to a tropical storm as it pushed inland, but forecasters warned that the France-sized storm system could unleash prolonged ​and widespread rain across eastern and northern China in the coming days. 
Nearly 2 million people were evacuated ahead of Bavi’s arrival, mostly in Zhejiang province, an ‌economic and ‌technological powerhouse in the world’s second-largest economy. 
Bavi struck Zhejiang’s coastal city of Yuhuan at around 11:20 p.m. on Saturday before ​making a second landfall in Yueqing, part of the city of Wenzhou, at around midnight. 
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Article reasoning-pattern comparisonThis article: 0.0%No Author: 3.1%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: 3.9%No Author: 3.9%The Japan Times: 4.7%Availability Heuristic3.9%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: 7.2%No Author: 11.1%The Japan Times: 14.3%Framing Effect7.2%This article: 0.0%No Author: 0.4%The Japan Times: 0.8%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: 2.7%No Author: 4.8%The Japan Times: 4.7%Optimism Bias2.7%This article: 0.0%No Author: 2.4%The Japan Times: 3.3%Pessimism Bias0.0%This article: 20.4%No Author: 9.4%The Japan Times: 11.5%Negativity Bias20.4%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: 0.9%Fundamental Attribution Error0.0%This article: 0.0%No Author: 0.3%The Japan Times: 0.1%Actor-Observer Bias0.0%This article: 0.0%No Author: 1.1%The Japan Times: 1.1%In-Group Bias0.0%This article: 0.0%No Author: 0.4%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 3.6%No Author: 1.8%The Japan Times: 1.5%Halo Effect3.6%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: 3.6%No Author: 4.9%The Japan Times: 5.6%Appeal to Authority3.6%This article: 0.0%No Author: 1.0%The Japan Times: 1.6%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: 0.0%No Author: 3.0%The Japan Times: 4.5%Hasty Generalization0.0%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: 2.7%No Author: 3.7%The Japan Times: 3.6%Appeal to Emotion2.7%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: 0.0%No Author: 0.6%The Japan Times: 1.0%Anecdotal0.0%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: 0.0%No Author: 5.2%The Japan Times: 4.5%Unattributed Quote0.0%This article: 0.0%No Author: 2.0%The Japan Times: 1.8%Quote-first Misdirection0.0%This article: 0.0%No Author: 6.2%The Japan Times: 8.9%Biased Writer Voice0.0%This article: 0.0%No Author: 1.3%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: 0.3%No Author: 0.4%The Japan Times: 0.5%Attempt to Sell a Product or S…0.3%

334 words analyzed.

Speakers

2speakers5.1%attributed speech317writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 5 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageJCOM • 7 words • 0.0% coverageJT Media Enterprise Division • 10 words • 0.0% coverageWriter's voice • 1 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverage
0%flagged-word coverage
10 attributed words59% of attributed speech44% writer coverage
0%2.5%5.0%Attempt to Sell a Product -0.3 ptsWriter: 0.3%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.