Manchester again declines agreement with ICE 3%

By Lau Guzmán0%

8/7/2026, 12:06:59 PM

BS Summary: This article contains 2 faulty reasoning types, including Framing Effect, with In-Group Bias as the most egregious example at 9.7% saturation with 43 hits. Analysis detected 78 faulty-reasoning hits from 444 analyzed words, generating a BS Score of 8.8% and a BS Rank of 3% (28,364 of 29,101 articles). This article is better (less manipulative) than 97.50% of the article peer group.

The Manchester Board of Mayor and Aldermen voted this week to not sign an agreement with ICE to take over some immigration functions. 
The department has declined since last spring to enter such a deal, known as a 287g agreement, but the issue is becoming increasingly political as a growing number of departments in the state sign on. 
Manc­hester Police Chief Peter Marr said the agreement isn’t necessary, since the department already cooperates with ICE in the course of their duties. 
He added that the department is currently understaffed and doesn’t have the officers to allocate to additional immigration enforcement. 
He also noted that ICE already has a presence in the city: New Hampshire’s only ICE field office is in downtown Manchester. 
“Part of my job is managing the resources of the Manchester Police Department and I don't think having our officers do federal work when their office is here, their agents are here  I don't think it's a good use of resources.” he said at a meeting at City Hall this week. 
Since January of 2025, 92 people have been arrested for immigration-related matters in Manchester, according to federal data obtained by the nonprofit Deportation Data Project. 
These were carried out largely by ICE officers, as only nine were tagged as belonging to a 287(g) program. 
But as ICE arrests by local police increase and more agencies in the state sign on to a 287(g) agreement, Manchester is facing pressure from state and local Republicans to join the 24 other New Hampshire departments that have active agreements with ICE. 
Republican Alderman Ed Sapienza said the program would let the city get additional federal funding and “connect the bureaucratic dots” since Manchester already works with ICE. 
“We just ask that we improve the communication and cooperation between the Manchester Police Department and the federal authorities in the pursuit of law and order,” he said. 
But Alderman Jason Bonilla, a Democrat from one of the most diverse wards in the city, said signing one of these agreements would undermine work the police have done to reach out to the immigrant and refugee residents. 
“We need them to call. 
We need them to cooperate, especially within an investigation,” he said. 
”Our police members of our Manchester Police Department have committed to protecting and serving all. 
That means, serving all, regardless of status.” 
In the end, the overwhelming majority of the aldermen voted to keep the status quo  but the vote is largely symbolic since a state law passed last year keeps local governments from passing ordinances that would prohibit their local police departments from signing a 287(g) agreement. 
Article reasoning-pattern comparisonThis article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 2.0%Confirmation Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.3%Anchoring Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 2.4%Availability Heuristic0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.7%Representativeness Heuristic0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.2%Hindsight Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.8%Overconfidence Bias0.0%This article: 7.9%Lau Guzmán: 3.9%New Hampshire Public Radio: 3.5%Framing Effect7.9%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.8%Loss Aversion0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.6%Status Quo Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.3%Sunk Cost Effect0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.8%Optimism Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.4%Pessimism Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 4.2%Negativity Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.4%Self-Serving Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Actor-Observer Bias0.0%This article: 9.7%Lau Guzmán: 4.8%New Hampshire Public Radio: 1.2%In-Group Bias9.7%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.4%Halo Effect0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Horn Effect0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Dunning-Kruger Effect0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.7%Recency Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Primacy Effect0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Blind-Spot Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Ad Hominem0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.2%Straw Man0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 2.2%Appeal to Authority0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.7%False Dilemma0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Slippery Slope0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.3%Circular Reasoning0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 2.3%Hasty Generalization0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.2%Red Herring0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Bandwagon0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.9%Appeal to Emotion0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.6%Begging the Question0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.8%Post Hoc (False Cause)0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Tu Quoque0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.2%Burden of Proof0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Appeal to Nature0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Composition/Division0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.0%Anecdotal0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%No True Scotsman0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.9%Ambiguity (Equivocation)0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Middle Ground0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Personal Incredulity0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Special Pleading0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.0%Genetic Fallacy0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.1%Unattributed Quote0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.3%Quote-first Misdirection0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.9%Biased Writer Voice0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 1.0%Indoctrination0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Lau Guzmán: 0.0%New Hampshire Public Radio: 0.5%Attempt to Sell a Product or S…0.0%

444 words analyzed.

Speakers

3speakers55%attributed speech198writer words
Selected voice

Peter Marr

0%flagged-word coverage
116 attributed words47% of attributed speech39% 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.