BS Summary: This article contains 22 faulty reasoning types, including Appeal to Emotion, Anecdotal, and Availability Heuristic, with Negativity Bias as the most egregious example at 33.3% saturation with 125 hits. Analysis detected 801 faulty-reasoning hits from 375 analyzed words, generating a BS Score of 59.3% and a BS Rank of 74% (7,241 of 27,714 articles). This article is worse (more manipulative) than 73.90% of the article peer group.

ICE raids continue to escalate in Maine and legal aid groups said young people are increasingly the target. 
For decades, unaccompanied minors who suffered abuse or neglect have been given Special Immigrant Juvenile Status and allowed to remain in the U.S. 
In May, the Trump administration removed the protections , exposing them to arrest and deportation. 
Lisa Parisio, policy director for the Immigrant Legal Advocacy Project in Portland, said the juveniles are now living in a constant state of fear. 
“We have just seen and heard so many reports from families  young people of working age who are afraid to go to work, afraid to seek higher education, afraid to just start their lives,” Parisio reported. 
A ProPublica analysis of court data shows the young people are being detained and deported at roughly three times the rate as during the first Trump presidency, with more than 10,000 removal and voluntary departure orders issued each month. 
Federal authorities said claims for protected status are rife with fraud and a backlog of renewal applications is not a reason to delay their removal. 
Democratic lawmakers are demanding answers as to why these backlogs are occurring. 
Reports show abused youth now face unsafe conditions in federal detention facilities, including a lack of clean water, food or medical care. 
Parisio noted last week’s deadly ICE shooting in Biddeford of a young father on his way to work has only heightened the terror people are experiencing. 
“The entire future of our state of Maine is being diminished every single day,” Parisio contended. 
“We must call on Congress to reel in this administration and protect the rights and safety of every single person living in our communities.” 
Parisio added ICE officers have focused on schools as part of their operation strategy, arresting parents after drop-offs  even following children home. 
Starting July 29, a new state law aims to prevent ICE searches at schools, libraries or medical facilities. 
Local law enforcement will now be restricted from cooperating with federal immigration agencies and landlords will not be allowed to share sensitive tenant information with federal agents. 
The post ICE targets Maine youth after removal of legal protections first appeared on Maine Beacon . 
Article reasoning-pattern comparisonThis article: 12.8%Kathryn Carley: 1.8%Maine Beacon: 5.6%Confirmation Bias12.8%This article: 0.0%Kathryn Carley: 1.1%Maine Beacon: 0.6%Anchoring Bias0.0%This article: 14.7%Kathryn Carley: 4.5%Maine Beacon: 3.2%Availability Heuristic14.7%This article: 0.0%Kathryn Carley: 1.4%Maine Beacon: 0.9%Representativeness Heuristic0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 1.0%Hindsight Bias0.0%This article: 0.0%Kathryn Carley: 1.0%Maine Beacon: 1.3%Overconfidence Bias0.0%This article: 6.4%Kathryn Carley: 5.3%Maine Beacon: 9.3%Framing Effect6.4%This article: 10.4%Kathryn Carley: 2.6%Maine Beacon: 0.8%Loss Aversion10.4%This article: 6.1%Kathryn Carley: 1.9%Maine Beacon: 0.5%Status Quo Bias6.1%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.1%Sunk Cost Effect0.0%This article: 0.0%Kathryn Carley: 2.2%Maine Beacon: 2.5%Optimism Bias0.0%This article: 10.7%Kathryn Carley: 2.7%Maine Beacon: 1.6%Pessimism Bias10.7%This article: 33.3%Kathryn Carley: 15.6%Maine Beacon: 10.2%Negativity Bias33.3%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.8%Self-Serving Bias0.0%This article: 0.0%Kathryn Carley: 0.5%Maine Beacon: 0.9%Fundamental Attribution Error0.0%This article: 6.1%Kathryn Carley: 0.4%Maine Beacon: 0.1%Actor-Observer Bias6.1%This article: 3.2%Kathryn Carley: 1.6%Maine Beacon: 4.1%In-Group Bias3.2%This article: 0.0%Kathryn Carley: 1.1%Maine Beacon: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Kathryn Carley: 0.2%Maine Beacon: 1.7%Halo Effect0.0%This article: 0.0%Kathryn Carley: 0.6%Maine Beacon: 0.4%Horn Effect0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Dunning-Kruger Effect0.0%This article: 6.9%Kathryn Carley: 1.9%Maine Beacon: 1.4%Recency Bias6.9%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.6%Primacy Effect0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kathryn Carley: 2.2%Maine Beacon: 2.4%Ad Hominem0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.6%Straw Man0.0%This article: 6.7%Kathryn Carley: 2.9%Maine Beacon: 2.0%Appeal to Authority6.7%This article: 0.0%Kathryn Carley: 2.5%Maine Beacon: 2.7%False Dilemma0.0%This article: 4.3%Kathryn Carley: 1.6%Maine Beacon: 1.1%Slippery Slope4.3%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.2%Circular Reasoning0.0%This article: 6.7%Kathryn Carley: 7.3%Maine Beacon: 6.2%Hasty Generalization6.7%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.3%Red Herring0.0%This article: 3.2%Kathryn Carley: 0.5%Maine Beacon: 1.7%Bandwagon3.2%This article: 21.1%Kathryn Carley: 8.0%Maine Beacon: 13.1%Appeal to Emotion21.1%This article: 6.4%Kathryn Carley: 1.2%Maine Beacon: 1.2%Begging the Question6.4%This article: 6.9%Kathryn Carley: 2.5%Maine Beacon: 3.0%Post Hoc (False Cause)6.9%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.2%Tu Quoque0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.5%Burden of Proof0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Appeal to Nature0.0%This article: 0.0%Kathryn Carley: 0.4%Maine Beacon: 0.5%Composition/Division0.0%This article: 18.4%Kathryn Carley: 3.8%Maine Beacon: 3.3%Anecdotal18.4%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.1%No True Scotsman0.0%This article: 6.1%Kathryn Carley: 1.2%Maine Beacon: 0.8%Ambiguity (Equivocation)6.1%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Middle Ground0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Personal Incredulity0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.1%Special Pleading0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.0%Genetic Fallacy0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 1.1%Unattributed Quote0.0%This article: 0.0%Kathryn Carley: 1.6%Maine Beacon: 0.9%Quote-first Misdirection0.0%This article: 6.4%Kathryn Carley: 3.2%Maine Beacon: 7.9%Biased Writer Voice6.4%This article: 6.4%Kathryn Carley: 10.5%Maine Beacon: 5.9%Indoctrination6.4%This article: 0.0%Kathryn Carley: 4.7%Maine Beacon: 10.3%Politically Left Leaning Bias0.0%This article: 0.0%Kathryn Carley: 0.0%Maine Beacon: 0.3%Politically Right Leaning Bias0.0%This article: 10.4%Kathryn Carley: 0.7%Maine Beacon: 0.6%Attempt to Sell a Product or S…10.4%

375 words analyzed.

Speakers

1speaker40%attributed speech225writer words
Selected voice

Lisa Parisio

100%flagged-word coverage
150 attributed words100% of attributed speech68% writer coverage
0%10.0%20.0%Attempt to Sell a Product -17.3 ptsWriter: 17.3%Lisa Parisio: 0.0%0.0%Biased Writer Voice+16.0 ptsWriter: 0.0%Lisa Parisio: 16.0%16.0%Indoctrination+16.0 ptsWriter: 0.0%Lisa Parisio: 16.0%16.0%

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.