Trump honors four U.S. soldiers killed in Middle East ⁠9%

By Jon Decker⁠0%

7/22/2026, 10:06:45 PM

BS Summary: This article contains 5 faulty reasoning types, including Appeal to Emotion, Negativity Bias, and Halo Effect, with Framing Effect as the most egregious example at 39% saturation with 23 hits. Analysis detected 80 faulty-reasoning hits from 59 analyzed words, generating a BS Score of 26% and a BS Rank of ⁠9% (19,934 of 21,886 articles). This article is better (less manipulative) than 91.10% of the article peer group.

President Donald Trump on Tuesday honored four U.S. soldiers who were killed in the Middle East. 
The soldiers were killed in an attack in Afghanistan on Monday. 
Trump said the soldiers were heroes who died serving their country. 
He also said that the United States would not forget their sacrifice. 
Article reasoning-pattern comparisonThis article: 0.0%Jon Decker: 0.0%azfamily: 1.7%Confirmation Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Anchoring Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.4%Availability Heuristic0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Representativeness Heuristic0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Hindsight Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 4.1%Overconfidence Bias0.0%This article: 39.0%Jon Decker: 13.0%azfamily: 15.9%Framing Effect39.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Loss Aversion0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.1%Status Quo Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Sunk Cost Effect0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 7.2%Optimism Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.6%Pessimism Bias0.0%This article: 20.3%Jon Decker: 6.8%azfamily: 18.0%Negativity Bias20.3%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Self-Serving Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Fundamental Attribution Error0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Actor-Observer Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%In-Group Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Out-Group Homogeneity Bias0.0%This article: 18.6%Jon Decker: 12.4%azfamily: 3.6%Halo Effect18.6%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Horn Effect0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 3.1%Recency Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.5%Primacy Effect0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Blind-Spot Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Ad Hominem0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Straw Man0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 6.8%Appeal to Authority0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.1%False Dilemma0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.6%Slippery Slope0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Circular Reasoning0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 4.1%Hasty Generalization0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Red Herring0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Bandwagon0.0%This article: 39.0%Jon Decker: 26.0%azfamily: 6.7%Appeal to Emotion39.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.7%Begging the Question0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Post Hoc (False Cause)0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Tu Quoque0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Burden of Proof0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Appeal to Nature0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Composition/Division0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Anecdotal0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%No True Scotsman0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 1.5%Middle Ground0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Personal Incredulity0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Special Pleading0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Genetic Fallacy0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Unattributed Quote0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Quote-first Misdirection0.0%This article: 18.6%Jon Decker: 6.2%azfamily: 6.2%Biased Writer Voice18.6%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Indoctrination0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Jon Decker: 0.0%azfamily: 2.0%Attempt to Sell a Product or S…0.0%

59 words analyzed.

Speakers

1speaker39%attributed speech36writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageTrump • 11 words • 100.0% coverageTrump • 12 words • 0.0% coverage
Selected voice

Trump

100%flagged-word coverage
23 attributed words100% of attributed speech0% writer coverage
0%25.0%50.0%Biased Writer Voice+47.8 ptsWriter: 0.0%Trump: 47.8%47.8%

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.