Fox News⁠84%

ICE seeks nearly $500K fine against immigration lawyer accused of filing fake asylum claims ⁠17%

By Preston Mizell⁠63% Brittany Miller⁠45%

7/29/2026, 5:40:53 PM

BS Summary: This article contains 17 faulty reasoning types, including Hasty Generalization, Fundamental Attribution Error, and Burden of Proof, with Negativity Bias as the most egregious example at 21.7% saturation with 77 hits. Analysis detected 578 faulty-reasoning hits from 355 analyzed words, generating a BS Score of 27.5% and a BS Rank of ⁠17% (21,421 of 25,563 articles). This article is better (less manipulative) than 83.80% of the article peer group.

EXCLUSIVE – U.S. 
Immigration and Customs Enforcement (ICE) is seeking more than $470,000 in civil fines against a New York immigration attorney accused of filing fraudulent documents in support of asylum claims on behalf of dozens of clients, alleging he submitted more than 100 documents containing nearly identical accounts of persecution. 
Homeland Security Investigations announced it had issued a notice of intent to fine attorney Suraj Raj Singh, whose nationwide practice primarily represents Indian nationals seeking asylum before immigration courts, according to the Department of Homeland Security (DHS). 
ICE alleges Singh prepared and filed 118 fraudulent documents in 54 immigration cases. 
The agency is seeking the maximum permissible fine — $470,584. 
According to DHS, asylum declarations submitted in support of Singh's clients' applications were "identical or nearly identical in language and substance," containing the same or substantially similar factual narratives and supporting details describing alleged persecution. 
"Fraudulent asylum claims threaten the safety of the American people, undermine our immigration system and delay the removal of dangerous criminal illegal aliens," DHS General Counsel James Percival said. 
"ICE is seeking a fine of more than $470,000 from attorney Suraj Raj Singh. 
Under President Trump and Secretary Mullin, we will hold attorneys like this accountable and put an end to the practice of defrauding and abusing our immigration system." 
A notice of intent to fine is a proposed civil enforcement action that allows the recipient an opportunity to respond before any penalty becomes final. 
The action is the latest step in the Trump administration's effort to crack down on alleged asylum fraud. 
In May, Percival directed DHS attorneys to pursue additional enforcement actions targeting fraudulent asylum claims. 
DHS said the Singh case marks the second time the department has sought civil penalties against an immigration attorney under 8 U.S.C. § 1324c(d), which authorizes fines for immigration-related document fraud. 
Last month, ICE issued five notices of intent to fine against attorney Vinod Doddamani, seeking a combined $255,232 in civil penalties over alleged immigration document fraud. 
Fox News Digital has reached out to Singh for comment. 
Article reasoning-pattern comparisonThis article: 7.6%Preston Mizell: 1.5%CNN Politics: 5.2%Confirmation Bias7.6%This article: 6.8%Preston Mizell: 0.5%CNN Politics: 0.7%Anchoring Bias6.8%This article: 7.3%Preston Mizell: 1.3%CNN Politics: 5.5%Availability Heuristic7.3%This article: 9.9%Preston Mizell: 0.5%CNN Politics: 1.8%Representativeness Heuristic9.9%This article: 0.0%Preston Mizell: 0.3%CNN Politics: 0.2%Hindsight Bias0.0%This article: 0.0%Preston Mizell: 2.2%CNN Politics: 1.0%Overconfidence Bias0.0%This article: 5.1%Preston Mizell: 8.6%CNN Politics: 10.2%Framing Effect5.1%This article: 0.0%Preston Mizell: 0.1%CNN Politics: 0.8%Loss Aversion0.0%This article: 0.0%Preston Mizell: 0.1%CNN Politics: 0.3%Status Quo Bias0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Sunk Cost Effect0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.2%Optimism Bias0.0%This article: 0.0%Preston Mizell: 0.6%CNN Politics: 2.5%Pessimism Bias0.0%This article: 21.7%Preston Mizell: 5.6%CNN Politics: 14.3%Negativity Bias21.7%This article: 0.0%Preston Mizell: 1.4%CNN Politics: 0.3%Self-Serving Bias0.0%This article: 13.5%Preston Mizell: 0.9%CNN Politics: 1.8%Fundamental Attribution Error13.5%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Actor-Observer Bias0.0%This article: 0.0%Preston Mizell: 1.2%CNN Politics: 3.0%In-Group Bias0.0%This article: 0.0%Preston Mizell: 2.1%CNN Politics: 5.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Preston Mizell: 1.1%CNN Politics: 0.5%Halo Effect0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.8%Horn Effect0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Dunning-Kruger Effect0.0%This article: 5.1%Preston Mizell: 0.2%CNN Politics: 1.8%Recency Bias5.1%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.2%Primacy Effect0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Blind-Spot Bias0.0%This article: 0.0%Preston Mizell: 0.9%CNN Politics: 2.3%Ad Hominem0.0%This article: 0.0%Preston Mizell: 0.2%CNN Politics: 0.9%Straw Man0.0%This article: 7.6%Preston Mizell: 1.8%CNN Politics: 1.7%Appeal to Authority7.6%This article: 0.0%Preston Mizell: 0.1%CNN Politics: 0.9%False Dilemma0.0%This article: 0.0%Preston Mizell: 0.4%CNN Politics: 2.1%Slippery Slope0.0%This article: 0.0%Preston Mizell: 0.1%CNN Politics: 0.0%Circular Reasoning0.0%This article: 18.0%Preston Mizell: 2.1%CNN Politics: 10.9%Hasty Generalization18.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.3%Red Herring0.0%This article: 5.1%Preston Mizell: 0.1%CNN Politics: 0.7%Bandwagon5.1%This article: 8.2%Preston Mizell: 2.9%CNN Politics: 4.7%Appeal to Emotion8.2%This article: 0.0%Preston Mizell: 0.4%CNN Politics: 0.9%Begging the Question0.0%This article: 7.3%Preston Mizell: 2.1%CNN Politics: 2.5%Post Hoc (False Cause)7.3%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.3%Tu Quoque0.0%This article: 13.5%Preston Mizell: 0.4%CNN Politics: 0.8%Burden of Proof13.5%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Appeal to Nature0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.2%Composition/Division0.0%This article: 0.0%Preston Mizell: 0.4%CNN Politics: 7.0%Anecdotal0.0%This article: 0.0%Preston Mizell: 0.3%CNN Politics: 0.1%No True Scotsman0.0%This article: 0.0%Preston Mizell: 0.5%CNN Politics: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.1%Middle Ground0.0%This article: 0.0%Preston Mizell: 0.2%CNN Politics: 0.1%Personal Incredulity0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.0%Special Pleading0.0%This article: 0.0%Preston Mizell: 0.0%CNN Politics: 0.6%Genetic Fallacy0.0%This article: 0.0%Preston Mizell: 0.8%CNN Politics: 4.0%Unattributed Quote0.0%This article: 8.2%Preston Mizell: 1.2%CNN Politics: 2.4%Quote-first Misdirection8.2%This article: 10.4%Preston Mizell: 7.5%CNN Politics: 9.1%Biased Writer Voice10.4%This article: 7.6%Preston Mizell: 1.6%CNN Politics: 2.5%Indoctrination7.6%This article: 0.0%Preston Mizell: 0.1%CNN Politics: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Preston Mizell: 6.6%CNN Politics: 5.2%Politically Right Leaning Bias0.0%This article: 0.0%Preston Mizell: 0.5%CNN Politics: 0.2%Attempt to Sell a Product or S…0.0%

355 words analyzed.

Speakers

4speakers67%attributed speech118writer words
Selected voice

James Percival

79%flagged-word coverage
71 attributed words30% of attributed speech64% writer coverage
0%22.5%45.0%Quote-first Misdirection+40.8 ptsWriter: 0.0%James Percival: 40.8%40.8%Indoctrination+38.0 ptsWriter: 0.0%James Percival: 38.0%38.0%

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.