Trump Praises ICE Following Killings: 'Doing a GREAT Job' 80%

By Ryan Bort94%

7/15/2026, 12:28:17 PM

BS Summary: This article contains 20 faulty reasoning types, including Appeal to Authority, Biased Writer Voice, and Hindsight Bias, with False Dilemma as the most egregious example at 42.5% saturation with 51 hits. Analysis detected 532 faulty-reasoning hits from 120 analyzed words, generating a BS Score of 71.5% and a BS Rank of 80% (4,447 of 21,886 articles). This article is worse (more manipulative) than 79.70% of the article peer group.

Donald Trump responded to the uproar following ICE killing two men in vehicles in less than a week, writing that the agency is "doing a GREAT job." 
The president called for traffic stops to resume, despite the administration ordering the agency to pause them on Tuesday 
The Trump administration on Tuesday ordered ICE to pause most traffic stops. 
Tom Homan, Trump’s immigration czar, said the order was a “short pause just to make sure we’re doing the right thing.” 
Trump seems to believe they've sorted everything out less than 24 hours later  or, more likely, he simply doesn’t see anything wrong with how ICE has been conducting its deadly crackdown. 
Article reasoning-pattern comparisonThis article: 17.5%Ryan Bort: 4.4%Rolling Stone: 2.9%Confirmation Bias17.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.7%Anchoring Bias0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 3.2%Availability Heuristic0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.9%Representativeness Heuristic0.0%This article: 26.7%Ryan Bort: 6.7%Rolling Stone: 0.8%Hindsight Bias26.7%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 1.5%Overconfidence Bias0.0%This article: 7.5%Ryan Bort: 16.0%Rolling Stone: 5.6%Framing Effect7.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.6%Loss Aversion0.0%This article: 15.8%Ryan Bort: 4.0%Rolling Stone: 0.8%Status Quo Bias15.8%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%Sunk Cost Effect0.0%This article: 17.5%Ryan Bort: 4.4%Rolling Stone: 2.0%Optimism Bias17.5%This article: 26.7%Ryan Bort: 13.3%Rolling Stone: 1.1%Pessimism Bias26.7%This article: 7.5%Ryan Bort: 16.0%Rolling Stone: 7.5%Negativity Bias7.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 2.2%Self-Serving Bias0.0%This article: 26.7%Ryan Bort: 20.0%Rolling Stone: 1.1%Fundamental Attribution Error26.7%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%Actor-Observer Bias0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 1.3%In-Group Bias0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 4.8%Halo Effect0.0%This article: 0.0%Ryan Bort: 1.9%Rolling Stone: 0.3%Horn Effect0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.0%Dunning-Kruger Effect0.0%This article: 22.5%Ryan Bort: 9.6%Rolling Stone: 1.3%Recency Bias22.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.5%Primacy Effect0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.0%Blind-Spot Bias0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 1.1%Ad Hominem0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.4%Straw Man0.0%This article: 40.0%Ryan Bort: 14.4%Rolling Stone: 3.4%Appeal to Authority40.0%This article: 42.5%Ryan Bort: 21.3%Rolling Stone: 1.5%False Dilemma42.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.7%Slippery Slope0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.3%Circular Reasoning0.0%This article: 0.0%Ryan Bort: 13.3%Rolling Stone: 5.5%Hasty Generalization0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.4%Red Herring0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.7%Bandwagon0.0%This article: 7.5%Ryan Bort: 1.9%Rolling Stone: 5.8%Appeal to Emotion7.5%This article: 17.5%Ryan Bort: 4.4%Rolling Stone: 0.7%Begging the Question17.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 2.8%Post Hoc (False Cause)0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%Tu Quoque0.0%This article: 26.7%Ryan Bort: 6.7%Rolling Stone: 0.3%Burden of Proof26.7%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.2%Appeal to Nature0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.2%Composition/Division0.0%This article: 22.5%Ryan Bort: 5.6%Rolling Stone: 2.4%Anecdotal22.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%No True Scotsman0.0%This article: 17.5%Ryan Bort: 4.4%Rolling Stone: 1.8%Ambiguity (Equivocation)17.5%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%Middle Ground0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%Personal Incredulity0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.1%Special Pleading0.0%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 0.2%Genetic Fallacy0.0%This article: 17.5%Ryan Bort: 4.4%Rolling Stone: 1.5%Unattributed Quote17.5%This article: 22.5%Ryan Bort: 16.9%Rolling Stone: 1.3%Quote-first Misdirection22.5%This article: 34.2%Ryan Bort: 47.5%Rolling Stone: 8.6%Biased Writer Voice34.2%This article: 0.0%Ryan Bort: 6.7%Rolling Stone: 1.3%Indoctrination0.0%This article: 0.0%Ryan Bort: 20.8%Rolling Stone: 1.6%Politically Left Leaning Bias0.0%This article: 26.7%Ryan Bort: 6.7%Rolling Stone: 0.2%Politically Right Leaning Bias26.7%This article: 0.0%Ryan Bort: 0.0%Rolling Stone: 3.6%Attempt to Sell a Product or S…0.0%

120 words analyzed.

Speakers

3speakers50%attributed speech60writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageDonald Trump • 27 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageTrump administration • 12 words • 0.0% coverageTom Homan • 21 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverage
Selected voice

Tom Homan

100%flagged-word coverage
21 attributed words35% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Tom Homan: 100.0%100.0%Biased Writer Voice-68.3 ptsWriter: 68.3%Tom Homan: 0.0%0.0%Politically Right Leaning -53.3 ptsWriter: 53.3%Tom Homan: 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.