Tropical Storm Jangmi continues its approach ⁠2%

By Jessica Speed⁠0%

6/1/2026, 11:52:00 PM

BS Summary: This article contains 1 faulty reasoning type, including Appeal to Authority, with Appeal to Authority as the most egregious example at 19.7% saturation with 24 hits. Analysis detected 24 faulty-reasoning hits from 122 analyzed words, generating a BS Score of 9.8% and a BS Rank of ⁠2% (21,591 of 21,887 articles). This article is better (less manipulative) than 98.60% of the article peer group.

Tropical Storm Jangmi, known in Japan as taifū No. 6, is expected to bring heavy rain and strong winds across a swath of the country from Tuesday to Wednesday. 
As of 7.45 a.m. 
Tuesday, the storm was located about 90 kilometers west-northwest of the city of Amami, in Kagoshima Prefecture, and moving north-northeast at a speed of 25 kilometers per hour with a central pressure of 975 hectopascals. 
It was packing, with sustained winds near the center of up to 30 meters per second and gusts up to 40 meters per second. 
The storm is expected to move northeast and approach the Kyushu, Shikoku, Kinki, Tokai and Kanto-Koshin regions through Wednesday, according to the Meteorological Agency. 
Article reasoning-pattern comparisonThis article: 0.0%Jessica Speed: 1.4%The Japan Times: 3.5%Confirmation Bias0.0%This article: 0.0%Jessica Speed: 1.1%The Japan Times: 1.9%Anchoring Bias0.0%This article: 0.0%Jessica Speed: 3.9%The Japan Times: 4.7%Availability Heuristic0.0%This article: 0.0%Jessica Speed: 1.8%The Japan Times: 1.3%Representativeness Heuristic0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.6%Hindsight Bias0.0%This article: 0.0%Jessica Speed: 0.7%The Japan Times: 2.0%Overconfidence Bias0.0%This article: 0.0%Jessica Speed: 6.5%The Japan Times: 14.4%Framing Effect0.0%This article: 0.0%Jessica Speed: 1.2%The Japan Times: 0.9%Loss Aversion0.0%This article: 0.0%Jessica Speed: 1.1%The Japan Times: 1.3%Status Quo Bias0.0%This article: 0.0%Jessica Speed: 0.2%The Japan Times: 0.2%Sunk Cost Effect0.0%This article: 0.0%Jessica Speed: 2.9%The Japan Times: 4.7%Optimism Bias0.0%This article: 0.0%Jessica Speed: 2.8%The Japan Times: 3.3%Pessimism Bias0.0%This article: 0.0%Jessica Speed: 5.7%The Japan Times: 11.6%Negativity Bias0.0%This article: 0.0%Jessica Speed: 0.2%The Japan Times: 0.8%Self-Serving Bias0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.8%Fundamental Attribution Error0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.2%Actor-Observer Bias0.0%This article: 0.0%Jessica Speed: 1.1%The Japan Times: 1.0%In-Group Bias0.0%This article: 0.0%Jessica Speed: 0.4%The Japan Times: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Jessica Speed: 0.5%The Japan Times: 1.5%Halo Effect0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.1%Horn Effect0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jessica Speed: 1.4%The Japan Times: 2.2%Recency Bias0.0%This article: 0.0%Jessica Speed: 0.5%The Japan Times: 0.9%Primacy Effect0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.0%Blind-Spot Bias0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.2%Ad Hominem0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.1%Straw Man0.0%This article: 19.7%Jessica Speed: 4.8%The Japan Times: 5.5%Appeal to Authority19.7%This article: 0.0%Jessica Speed: 0.5%The Japan Times: 1.7%False Dilemma0.0%This article: 0.0%Jessica Speed: 0.6%The Japan Times: 1.0%Slippery Slope0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.2%Circular Reasoning0.0%This article: 0.0%Jessica Speed: 2.7%The Japan Times: 4.5%Hasty Generalization0.0%This article: 0.0%Jessica Speed: 0.1%The Japan Times: 0.3%Red Herring0.0%This article: 0.0%Jessica Speed: 0.1%The Japan Times: 0.6%Bandwagon0.0%This article: 0.0%Jessica Speed: 1.6%The Japan Times: 3.6%Appeal to Emotion0.0%This article: 0.0%Jessica Speed: 0.1%The Japan Times: 0.9%Begging the Question0.0%This article: 0.0%Jessica Speed: 2.9%The Japan Times: 4.2%Post Hoc (False Cause)0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.1%Tu Quoque0.0%This article: 0.0%Jessica Speed: 0.4%The Japan Times: 0.5%Burden of Proof0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.1%Appeal to Nature0.0%This article: 0.0%Jessica Speed: 0.3%The Japan Times: 0.2%Composition/Division0.0%This article: 0.0%Jessica Speed: 1.3%The Japan Times: 1.1%Anecdotal0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.0%No True Scotsman0.0%This article: 0.0%Jessica Speed: 2.0%The Japan Times: 3.0%Ambiguity (Equivocation)0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.1%Middle Ground0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.0%Personal Incredulity0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.1%Special Pleading0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.0%Genetic Fallacy0.0%This article: 0.0%Jessica Speed: 1.4%The Japan Times: 4.6%Unattributed Quote0.0%This article: 0.0%Jessica Speed: 0.7%The Japan Times: 1.8%Quote-first Misdirection0.0%This article: 0.0%Jessica Speed: 4.3%The Japan Times: 9.0%Biased Writer Voice0.0%This article: 0.0%Jessica Speed: 3.8%The Japan Times: 1.6%Indoctrination0.0%This article: 0.0%Jessica Speed: 0.1%The Japan Times: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Jessica Speed: 0.0%The Japan Times: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Jessica Speed: 1.0%The Japan Times: 0.5%Attempt to Sell a Product or S…0.0%

122 words analyzed.

Speakers

1speaker20%attributed speech98writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageMeteorological Agency • 24 words • 0.0% coverage
Selected voice

Meteorological Agency

100%flagged-word coverage
24 attributed words100% of attributed speech0% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.