ICE Wants to Transform an SLC Warehouse into a Immigration Jailhouse ⁠96%

3/31/2026, 2:55:38 PM

BS Summary: This article contains 13 faulty reasoning types, including Biased Writer Voice, Appeal to Emotion, and Availability Heuristic, with Negativity Bias as the most egregious example at 93.6% saturation with 189 hits. Analysis detected 822 faulty-reasoning hits from 202 analyzed words, generating a BS Score of 92.8% and a BS Rank of ⁠96% (1,019 of 21,887 articles). This article is worse (more manipulative) than 95.30% of the article peer group.

U.S. 
Immigrations and Customs Enforcement recently purchased a warehouse on Salt Lake City’s west side, but the agency doesn’t intend to use the site for goods or merchandise: It will be a detention facility, part of the agency’s efforts to round up and deport a million people every year. 
U.S. 
Immigrations and Customs Enforcement recently purchased a warehouse on Salt Lake City’s west side, but the agency doesn’t intend to use the site for goods or merchandise: It will be a detention facility, part of the agency’s efforts to round up and deport a million people every year.ICE failed to inform any local lawmakers prior to buying the warehouse. 
They didn’t even notify the state’s all-GOP congressional delegation of their plans. 
Agency leadership has since told Salt Lake City Mayor Erin Mendenhall that the warehouse will serve to jail between 7,500 and 10,000 people, and the mayor has vowed to do everything within her power to stop it. 
There are a lot of questions swirling around the facility, and journalists Jose Davila IV and Nick Miroff join us to share what they’ve learned about ICE’s effort to reengineer warehouses into jailhouses. 
Article reasoning-pattern comparisonThis article: 0.0%KUER: 2.8%Confirmation Bias0.0%This article: 0.0%KUER: 1.3%Anchoring Bias0.0%This article: 40.1%KUER: 3.4%Availability Heuristic40.1%This article: 0.0%KUER: 1.2%Representativeness Heuristic0.0%This article: 0.0%KUER: 0.5%Hindsight Bias0.0%This article: 0.0%KUER: 1.9%Overconfidence Bias0.0%This article: 21.8%KUER: 7.4%Framing Effect21.8%This article: 0.0%KUER: 1.3%Loss Aversion0.0%This article: 0.0%KUER: 1.2%Status Quo Bias0.0%This article: 0.0%KUER: 0.3%Sunk Cost Effect0.0%This article: 0.0%KUER: 4.4%Optimism Bias0.0%This article: 0.0%KUER: 2.4%Pessimism Bias0.0%This article: 93.6%KUER: 6.3%Negativity Bias93.6%This article: 0.0%KUER: 2.2%Self-Serving Bias0.0%This article: 0.0%KUER: 0.9%Fundamental Attribution Error0.0%This article: 0.0%KUER: 0.2%Actor-Observer Bias0.0%This article: 5.9%KUER: 1.9%In-Group Bias5.9%This article: 0.0%KUER: 0.6%Out-Group Homogeneity Bias0.0%This article: 0.0%KUER: 2.3%Halo Effect0.0%This article: 0.0%KUER: 0.1%Horn Effect0.0%This article: 0.0%KUER: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%KUER: 1.2%Recency Bias0.0%This article: 29.2%KUER: 0.3%Primacy Effect29.2%This article: 0.0%KUER: 0.1%Blind-Spot Bias0.0%This article: 0.0%KUER: 0.6%Ad Hominem0.0%This article: 0.0%KUER: 0.4%Straw Man0.0%This article: 18.3%KUER: 4.7%Appeal to Authority18.3%This article: 0.0%KUER: 1.7%False Dilemma0.0%This article: 0.0%KUER: 1.1%Slippery Slope0.0%This article: 0.0%KUER: 0.2%Circular Reasoning0.0%This article: 5.9%KUER: 4.1%Hasty Generalization5.9%This article: 16.3%KUER: 0.2%Red Herring16.3%This article: 0.0%KUER: 0.7%Bandwagon0.0%This article: 42.1%KUER: 5.6%Appeal to Emotion42.1%This article: 0.0%KUER: 0.7%Begging the Question0.0%This article: 0.0%KUER: 2.4%Post Hoc (False Cause)0.0%This article: 0.0%KUER: 0.1%Tu Quoque0.0%This article: 0.0%KUER: 0.4%Burden of Proof0.0%This article: 0.0%KUER: 0.2%Appeal to Nature0.0%This article: 0.0%KUER: 0.3%Composition/Division0.0%This article: 0.0%KUER: 3.1%Anecdotal0.0%This article: 0.0%KUER: 0.1%No True Scotsman0.0%This article: 29.2%KUER: 1.5%Ambiguity (Equivocation)29.2%This article: 0.0%KUER: 0.0%Gambler’s Fallacy0.0%This article: 0.0%KUER: 0.2%Middle Ground0.0%This article: 0.0%KUER: 0.1%Personal Incredulity0.0%This article: 0.0%KUER: 0.1%Special Pleading0.0%This article: 0.0%KUER: 0.2%Genetic Fallacy0.0%This article: 29.2%KUER: 0.8%Unattributed Quote29.2%This article: 0.0%KUER: 0.7%Quote-first Misdirection0.0%This article: 69.3%KUER: 2.2%Biased Writer Voice69.3%This article: 0.0%KUER: 1.6%Indoctrination0.0%This article: 0.0%KUER: 0.8%Politically Left Leaning Bias0.0%This article: 5.9%KUER: 0.3%Politically Right Leaning Bias5.9%This article: 0.0%KUER: 1.0%Attempt to Sell a Product or S…0.0%

202 words analyzed.

Speakers

2speakers71%attributed speech58writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageImmigrations and Customs Enforcement • 48 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageImmigrations and Customs Enforcement • 59 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageSalt Lake City Mayor Erin Mendenhall • 37 words • 100.0% coverageWriter's voice • 33 words • 100.0% coverage
100%flagged-word coverage
107 attributed words74% of attributed speech97% writer coverage
0%40.0%80.0%Biased Writer Voice-20.7 ptsWriter: 75.9%Immigrations and Customs Enforcement: 55.1%55.1%Unattributed Quote+55.1 ptsWriter: 0.0%Immigrations and Customs Enforcement: 55.1%55.1%Politically Right Leaning -20.7 ptsWriter: 20.7%Immigrations and Customs Enforcement: 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.