Trump vows Iran will pay for deaths as mediators push truce ⁠93%

By No Author⁠44%

7/21/2026, 12:50:00 AM

BS Summary: This article contains 13 faulty reasoning types, including Appeal to Emotion, Framing Effect, and Unattributed Quote, with Negativity Bias as the most egregious example at 79.5% saturation with 89 hits. Analysis detected 388 faulty-reasoning hits from 112 analyzed words, generating a BS Score of 87.2% and a BS Rank of ⁠93% (1,718 of 21,887 articles). This article is worse (more manipulative) than 92.20% of the article peer group.

President Donald Trump vowed that Iran “will pay” for killing three U.S. soldiers in recent days, even as mediators proposed a new truce with the Middle East war widening further. 
“Every time Iran kills an American Soldier they will pay for that killing many times over!” 
Trump wrote on social media on Monday. 
Earlier, Iran said mediators were in touch with proposals on how to ease hostilities after more than a week of worsening clashes. 
Tensions remain high and the conflict looked set to expand further after Tehran-backed Houthi militants in Yemen threatened to blockade Saudi Arabia in the Red Sea. 
Article reasoning-pattern comparisonThis article: 14.3%No Author: 3.2%The Japan Times: 3.5%Confirmation Bias14.3%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: 36.6%No Author: 11.2%The Japan Times: 14.4%Framing Effect36.6%This article: 14.3%No Author: 0.4%The Japan Times: 0.9%Loss Aversion14.3%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: 23.2%No Author: 2.4%The Japan Times: 3.3%Pessimism Bias23.2%This article: 79.5%No Author: 9.6%The Japan Times: 11.6%Negativity Bias79.5%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: 26.8%No Author: 1.9%The Japan Times: 2.2%Recency Bias26.8%This article: 19.6%No Author: 0.7%The Japan Times: 0.9%Primacy Effect19.6%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: 14.3%No Author: 0.6%The Japan Times: 1.0%Slippery Slope14.3%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: 41.1%No Author: 3.6%The Japan Times: 3.6%Appeal to Emotion41.1%This article: 0.0%No Author: 0.7%The Japan Times: 0.9%Begging the Question0.0%This article: 23.2%No Author: 3.4%The Japan Times: 4.2%Post Hoc (False Cause)23.2%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: 0.7%The Japan Times: 1.1%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: 33.9%No Author: 5.3%The Japan Times: 4.6%Unattributed Quote33.9%This article: 9.8%No Author: 2.1%The Japan Times: 1.8%Quote-first Misdirection9.8%This article: 9.8%No Author: 6.3%The Japan Times: 9.0%Biased Writer Voice9.8%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: 0.0%No Author: 0.3%The Japan Times: 0.5%Attempt to Sell a Product or S…0.0%

112 words analyzed.

Speakers

1speaker21%attributed speech89writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageWriter's voice • 30 words • 0.0% coverageTrump • 16 words • 100.0% coverageTrump • 7 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverage
Selected voice

Trump

70%flagged-word coverage
23 attributed words100% of attributed speech100% writer coverage
0%35.0%70.0%Unattributed Quote+44.8 ptsWriter: 24.7%Trump: 69.6%69.6%Quote-first Misdirection-12.4 ptsWriter: 12.4%Trump: 0.0%0.0%Biased Writer Voice-12.4 ptsWriter: 12.4%Trump: 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.