ICE officer who fatally shot a man in Maine has a history of violence, ex-wife says ⁠83%

By Vanessa Romo⁠64% NPR⁠79%

7/17/2026, 5:08:13 AM

BS Summary: This article contains 12 faulty reasoning types, including Anecdotal, Primacy Effect, and Confirmation Bias, with Negativity Bias as the most egregious example at 50% saturation with 44 hits. Analysis detected 326 faulty-reasoning hits from 88 analyzed words, generating a BS Score of 66.2% and a BS Rank of ⁠83% (5,427 of 30,584 articles). This article is worse (more manipulative) than 82.30% of the article peer group.

The Immigration and Customs Enforcement officer who shot and killed a Colombian man in Maine on Monday is an Army veteran, a former police officer, and was also briefly a firefighter. 
On paper, those qualifications might make him an ideal candidate for the job. 
But people who were closest to him tell NPR’s Vanessa Romo that he’s a violent person with mental health issues who never should have been given a gun. 
Article reasoning-pattern comparisonThis article: 31.8%Vanessa Romo: 4.1%Cognoscenti: 2.1%Confirmation Bias31.8%This article: 0.0%Vanessa Romo: 0.9%Cognoscenti: 0.3%Anchoring Bias0.0%This article: 0.0%Vanessa Romo: 3.9%Cognoscenti: 1.6%Availability Heuristic0.0%This article: 0.0%Vanessa Romo: 1.1%Cognoscenti: 0.5%Representativeness Heuristic0.0%This article: 0.0%Vanessa Romo: 0.4%Cognoscenti: 0.4%Hindsight Bias0.0%This article: 0.0%Vanessa Romo: 0.3%Cognoscenti: 0.9%Overconfidence Bias0.0%This article: 14.8%Vanessa Romo: 7.1%Cognoscenti: 3.0%Framing Effect14.8%This article: 0.0%Vanessa Romo: 1.8%Cognoscenti: 0.5%Loss Aversion0.0%This article: 0.0%Vanessa Romo: 1.6%Cognoscenti: 0.4%Status Quo Bias0.0%This article: 0.0%Vanessa Romo: 0.2%Cognoscenti: 0.1%Sunk Cost Effect0.0%This article: 0.0%Vanessa Romo: 0.8%Cognoscenti: 2.2%Optimism Bias0.0%This article: 0.0%Vanessa Romo: 3.6%Cognoscenti: 0.6%Pessimism Bias0.0%This article: 50.0%Vanessa Romo: 13.3%Cognoscenti: 3.9%Negativity Bias50.0%This article: 0.0%Vanessa Romo: 0.9%Cognoscenti: 0.9%Self-Serving Bias0.0%This article: 0.0%Vanessa Romo: 0.4%Cognoscenti: 0.5%Fundamental Attribution Error0.0%This article: 31.8%Vanessa Romo: 0.4%Cognoscenti: 0.1%Actor-Observer Bias31.8%This article: 0.0%Vanessa Romo: 1.7%Cognoscenti: 0.5%In-Group Bias0.0%This article: 0.0%Vanessa Romo: 2.2%Cognoscenti: 0.1%Out-Group Homogeneity Bias0.0%This article: 14.8%Vanessa Romo: 2.0%Cognoscenti: 1.3%Halo Effect14.8%This article: 0.0%Vanessa Romo: 0.1%Cognoscenti: 0.1%Horn Effect0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Vanessa Romo: 1.4%Cognoscenti: 0.6%Recency Bias0.0%This article: 35.2%Vanessa Romo: 0.4%Cognoscenti: 0.1%Primacy Effect35.2%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Blind-Spot Bias0.0%This article: 0.0%Vanessa Romo: 0.2%Cognoscenti: 0.4%Ad Hominem0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.2%Straw Man0.0%This article: 14.8%Vanessa Romo: 4.7%Cognoscenti: 2.0%Appeal to Authority14.8%This article: 0.0%Vanessa Romo: 0.6%Cognoscenti: 1.1%False Dilemma0.0%This article: 0.0%Vanessa Romo: 2.9%Cognoscenti: 0.4%Slippery Slope0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Circular Reasoning0.0%This article: 31.8%Vanessa Romo: 4.4%Cognoscenti: 2.7%Hasty Generalization31.8%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.2%Red Herring0.0%This article: 0.0%Vanessa Romo: 0.4%Cognoscenti: 0.4%Bandwagon0.0%This article: 31.8%Vanessa Romo: 5.3%Cognoscenti: 3.5%Appeal to Emotion31.8%This article: 0.0%Vanessa Romo: 0.2%Cognoscenti: 0.3%Begging the Question0.0%This article: 0.0%Vanessa Romo: 2.1%Cognoscenti: 1.6%Post Hoc (False Cause)0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Tu Quoque0.0%This article: 0.0%Vanessa Romo: 0.3%Cognoscenti: 0.3%Burden of Proof0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.1%Appeal to Nature0.0%This article: 0.0%Vanessa Romo: 0.2%Cognoscenti: 0.2%Composition/Division0.0%This article: 50.0%Vanessa Romo: 2.3%Cognoscenti: 1.9%Anecdotal50.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%No True Scotsman0.0%This article: 0.0%Vanessa Romo: 1.0%Cognoscenti: 0.6%Ambiguity (Equivocation)0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.1%Middle Ground0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Personal Incredulity0.0%This article: 0.0%Vanessa Romo: 0.0%Cognoscenti: 0.0%Special Pleading0.0%This article: 0.0%Vanessa Romo: 0.4%Cognoscenti: 0.1%Genetic Fallacy0.0%This article: 31.8%Vanessa Romo: 1.0%Cognoscenti: 0.7%Unattributed Quote31.8%This article: 0.0%Vanessa Romo: 0.6%Cognoscenti: 0.4%Quote-first Misdirection0.0%This article: 31.8%Vanessa Romo: 1.9%Cognoscenti: 1.9%Biased Writer Voice31.8%This article: 0.0%Vanessa Romo: 0.9%Cognoscenti: 0.8%Indoctrination0.0%This article: 0.0%Vanessa Romo: 0.2%Cognoscenti: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Vanessa Romo: 0.4%Cognoscenti: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Vanessa Romo: 0.1%Cognoscenti: 0.7%Attempt to Sell a Product or S…0.0%

88 words analyzed.

Speakers

1speaker32%attributed speech60writer words
Selected voice

Vanessa Romo

100%flagged-word coverage
28 attributed words100% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Vanessa Romo: 100.0%100.0%Biased Writer Voice+100.0 ptsWriter: 0.0%Vanessa Romo: 100.0%100.0%

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.