ICE officer in Maine shooting has a violent history, ex-wife and records say 87%

7/17/2026, 5:51:23 PM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 26 faulty reasoning types, including Appeal to Authority, Confirmation Bias, and Burden of Proof, with Negativity Bias as the most egregious example at 39.6% saturation with 201 hits. Analysis detected 1,628 faulty-reasoning hits from 508 analyzed words, generating a BS Score of 78.7% and a BS Rank of 87% (3,035 of 21,887 videos). This video is worse (more manipulative) than 86.10% of the video peer group.

25-year-old Johan Sebastian Duran 
Guerrero was shot and killed by ICE agent David Breault here in Biddeford, Maine on Monday. 
It was the second time in a week that ICE had used deadly force. 
Over the past few days, the AP worked to learn more about Breault and how he came to be an ICE agent. 
After colleagues tracked down family members who agreed to share their stories, we had to corroborate what they had to say. 
I spent hours in a courthouse in Augusta yesterday gathering hundreds of pages of documents detailing Breault's past, including allegations of violent abuse and serious mental health issues. 
My AP colleagues scoured the documents to corroborate what family had said. 
>> After advocacy groups alleged that David Breault was the ICE officer who shot and killed Duran Guerrero, a Colombian man 
in Maine, I combed social media and saw some old high school classmates discussing him. 
I reached out and was eventually connected to his ex-wife Ashley Breault by Wednesday evening. 
>> So, it was abuse not only to me, but to our daughter. 
>> She said that after she saw the allegations emerging that he was the shooter, she reached out to him through his current wife's Facebook and was able to talk with him. 
He told her he was the shooter and that he had been defending himself. 
Ashley recounted her own harrowing experiences of domestic violence while married to David and ongoing harassment. 
To help verify what she was saying, I asked her to share screenshots of the Facebook exchange and a threatening voicemail from David last winter around the time he joined ICE where he said someone should slit her throat. 
While I was interviewing Ashley, she told me that her 18-year-old daughter Madison also wanted to talk. Madison said her father called her and admitted to shooting Duran Guerrero. 
She said she wanted people to understand all of her father's long-standing mental health issues. 
issues. She said he should never have been hired to work as an ICE officer. 
I was able to interview an immediate relative of David's who helped us understand his psychiatric history. 
At first, the relative did not want to speak, but I told them we wanted to have a more complete picture of his mental health issues. 
That led to revelations about his diagnosis of severe bipolar disorder and how US Army recruiters told him to go off his medication to enlist. 
From there, I worked with AP colleagues to review public records and court documents that bolstered the allegations that David Brillet had a long pattern of abusive, threatening, and violent behavior towards the women in his life. 
We made multiple attempts to reach out to David Brillet, federal agencies, and the White House to offer a chance to comment on the story. 
After a careful reading with several AP editors, the story was published Thursday night and quickly drew reactions from members of Congress and others. 
Article reasoning-pattern comparisonThis article: 36.6%Associated Press: 1.8%Confirmation Bias36.6%This article: 6.3%Associated Press: 0.6%Anchoring Bias6.3%This article: 17.1%Associated Press: 2.6%Availability Heuristic17.1%This article: 10.0%Associated Press: 0.7%Representativeness Heuristic10.0%This article: 0.0%Associated Press: 0.3%Hindsight Bias0.0%This article: 4.3%Associated Press: 1.0%Overconfidence Bias4.3%This article: 11.8%Associated Press: 4.7%Framing Effect11.8%This article: 0.0%Associated Press: 0.6%Loss Aversion0.0%This article: 4.1%Associated Press: 0.4%Status Quo Bias4.1%This article: 4.9%Associated Press: 0.2%Sunk Cost Effect4.9%This article: 0.0%Associated Press: 2.7%Optimism Bias0.0%This article: 3.0%Associated Press: 2.2%Pessimism Bias3.0%This article: 39.6%Associated Press: 6.2%Negativity Bias39.6%This article: 3.0%Associated Press: 1.3%Self-Serving Bias3.0%This article: 3.0%Associated Press: 0.4%Fundamental Attribution Error3.0%This article: 2.8%Associated Press: 0.0%Actor-Observer Bias2.8%This article: 0.0%Associated Press: 1.2%In-Group Bias0.0%This article: 0.0%Associated Press: 0.2%Out-Group Homogeneity Bias0.0%This article: 15.6%Associated Press: 1.4%Halo Effect15.6%This article: 0.0%Associated Press: 0.0%Horn Effect0.0%This article: 0.0%Associated Press: 0.0%Dunning-Kruger Effect0.0%This article: 7.5%Associated Press: 1.0%Recency Bias7.5%This article: 0.8%Associated Press: 0.1%Primacy Effect0.8%This article: 0.0%Associated Press: 0.2%Blind-Spot Bias0.0%This article: 0.0%Associated Press: 0.2%Ad Hominem0.0%This article: 0.0%Associated Press: 0.1%Straw Man0.0%This article: 39.2%Associated Press: 3.5%Appeal to Authority39.2%This article: 3.0%Associated Press: 0.8%False Dilemma3.0%This article: 0.0%Associated Press: 0.3%Slippery Slope0.0%This article: 0.0%Associated Press: 0.1%Circular Reasoning0.0%This article: 13.0%Associated Press: 2.4%Hasty Generalization13.0%This article: 0.0%Associated Press: 0.0%Red Herring0.0%This article: 4.7%Associated Press: 0.3%Bandwagon4.7%This article: 17.5%Associated Press: 3.6%Appeal to Emotion17.5%This article: 2.8%Associated Press: 0.4%Begging the Question2.8%This article: 7.7%Associated Press: 1.7%Post Hoc (False Cause)7.7%This article: 2.8%Associated Press: 0.0%Tu Quoque2.8%This article: 33.5%Associated Press: 0.4%Burden of Proof33.5%This article: 0.0%Associated Press: 0.2%Appeal to Nature0.0%This article: 0.0%Associated Press: 0.3%Composition/Division0.0%This article: 26.2%Associated Press: 1.2%Anecdotal26.2%This article: 0.0%Associated Press: 0.0%No True Scotsman0.0%This article: 0.0%Associated Press: 0.9%Ambiguity (Equivocation)0.0%This article: 0.0%Associated Press: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Associated Press: 0.1%Middle Ground0.0%This article: 0.0%Associated Press: 0.0%Personal Incredulity0.0%This article: 0.0%Associated Press: 0.2%Special Pleading0.0%This article: 0.0%Associated Press: 0.1%Genetic Fallacy0.0%This article: 0.0%Associated Press: 1.5%Unattributed Quote0.0%This article: 0.0%Associated Press: 0.6%Quote-first Misdirection0.0%This article: 0.0%Associated Press: 2.6%Biased Writer Voice0.0%This article: 0.0%Associated Press: 1.3%Indoctrination0.0%This article: 0.0%Associated Press: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Associated Press: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Associated Press: 0.9%Attempt to Sell a Product or S…0.0%

508 words analyzed.

Speakers

2speakers18%attributed speech416writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageAshley Breault • 32 words • 0.0% coverageAshley Breault • 14 words • 0.0% coverageAshley Breault • 16 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageMadison • 15 words • 0.0% coverageMadison • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverage
Selected voice

Madison

100%flagged-word coverage
30 attributed words33% of attributed speech100% 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.