BS Summary: This article contains 19 faulty reasoning types, including Hasty Generalization, Ambiguity (Equivocation), and Appeal to Emotion, with Negativity Bias as the most egregious example at 54.4% saturation with 254 hits. Analysis detected 993 faulty-reasoning hits from 467 analyzed words, generating a BS Score of 83.2% and a BS Rank of 90% (2,265 of 21,886 articles). This article is worse (more manipulative) than 89.70% of the article peer group.

A document obtained by 404 Media lays out the surveillance tech available across ICE agency wide. 
From phone location data, to social media monitoring, to online undercover tools, the document details the vast array of surveillance technology that U.S. 
Immigration and Customs Enforcement (ICE) has at its fingertips. 
The document, titled “ICE Data Analytics Services,” was provided to 404 Media by a source who requested anonymity due to fear of reprisal. 
The document is dated July 2026. 
ICE did not respond to multiple requests for comment regarding the document. 
The document outlines a wide range of data sources and analytical tools that ICE can access, including: 
* **Phone location data:** ICE can access real-time and historical location data from mobile phones, allowing agents to track individuals’ movements. 
* **Social media monitoring:** The agency can monitor social media platforms for information related to individuals, including posts, connections, and activities. 
* **Online undercover tools:** ICE has access to tools that allow agents to conduct online investigations, including creating fake social media profiles and interacting with targets. 
* **Data brokers:** The document mentions ICE’s use of data brokers to obtain personal information on individuals, including addresses, phone numbers, and other identifying details. 
* **Facial recognition:** ICE can use facial recognition technology to identify individuals from images and videos. 
* **License plate readers:** The agency can access data from license plate readers to track vehicles and their movements. 
The document also highlights ICE’s use of artificial intelligence and machine learning to analyze large datasets and identify patterns and trends. 
These tools can be used to predict potential threats, identify targets for investigation, and optimize resource allocation. 
Critics have raised concerns about the potential for misuse of such powerful surveillance tools. 
They argue that the collection and analysis of vast amounts of personal data can lead to privacy violations, discrimination, and the erosion of civil liberties. 
“This document reveals the extent to which ICE is leveraging technology to conduct surveillance on a massive scale,” said a civil liberties advocate who spoke on condition of anonymity. 
“The lack of transparency and oversight surrounding these tools is deeply concerning.” 
The document does not specify the vendors or providers of these surveillance technologies, but it indicates that ICE has a broad range of options available to them. 
This leak comes at a time when ICE has been under increased scrutiny for its immigration enforcement practices. 
The agency has been criticized for its role in family separations, its aggressive deportation tactics, and its use of surveillance technology to target immigrant communities. 
The information contained in this document raises serious questions about the balance between national security and individual privacy. 
It underscores the need for greater transparency and accountability in the use of surveillance technologies by government agencies. 
Article reasoning-pattern comparisonThis article: 4.9%Joseph Cox: 2.3%404 Media: 3.5%Confirmation Bias4.9%This article: 0.0%Joseph Cox: 0.9%404 Media: 0.9%Anchoring Bias0.0%This article: 11.3%Joseph Cox: 5.7%404 Media: 3.8%Availability Heuristic11.3%This article: 0.0%Joseph Cox: 0.8%404 Media: 1.6%Representativeness Heuristic0.0%This article: 0.0%Joseph Cox: 0.4%404 Media: 0.5%Hindsight Bias0.0%This article: 0.0%Joseph Cox: 1.6%404 Media: 2.8%Overconfidence Bias0.0%This article: 12.2%Joseph Cox: 13.2%404 Media: 5.6%Framing Effect12.2%This article: 0.0%Joseph Cox: 1.0%404 Media: 0.4%Loss Aversion0.0%This article: 0.0%Joseph Cox: 0.5%404 Media: 0.6%Status Quo Bias0.0%This article: 0.0%Joseph Cox: 0.1%404 Media: 0.2%Sunk Cost Effect0.0%This article: 0.0%Joseph Cox: 1.0%404 Media: 2.8%Optimism Bias0.0%This article: 9.0%Joseph Cox: 3.5%404 Media: 1.6%Pessimism Bias9.0%This article: 54.4%Joseph Cox: 20.0%404 Media: 11.5%Negativity Bias54.4%This article: 0.0%Joseph Cox: 1.0%404 Media: 0.9%Self-Serving Bias0.0%This article: 2.6%Joseph Cox: 0.4%404 Media: 0.7%Fundamental Attribution Error2.6%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%Actor-Observer Bias0.0%This article: 0.0%Joseph Cox: 0.8%404 Media: 0.8%In-Group Bias0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Joseph Cox: 0.9%404 Media: 1.0%Halo Effect0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.2%Horn Effect0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.0%Dunning-Kruger Effect0.0%This article: 3.9%Joseph Cox: 1.7%404 Media: 1.0%Recency Bias3.9%This article: 3.6%Joseph Cox: 0.7%404 Media: 0.3%Primacy Effect3.6%This article: 5.8%Joseph Cox: 0.2%404 Media: 0.0%Blind-Spot Bias5.8%This article: 0.0%Joseph Cox: 0.5%404 Media: 0.3%Ad Hominem0.0%This article: 0.0%Joseph Cox: 0.1%404 Media: 0.3%Straw Man0.0%This article: 0.0%Joseph Cox: 4.0%404 Media: 3.3%Appeal to Authority0.0%This article: 3.9%Joseph Cox: 1.4%404 Media: 1.3%False Dilemma3.9%This article: 0.0%Joseph Cox: 0.9%404 Media: 1.2%Slippery Slope0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.2%Circular Reasoning0.0%This article: 32.1%Joseph Cox: 9.5%404 Media: 7.8%Hasty Generalization32.1%This article: 0.0%Joseph Cox: 0.7%404 Media: 0.3%Red Herring0.0%This article: 0.0%Joseph Cox: 1.1%404 Media: 0.7%Bandwagon0.0%This article: 13.3%Joseph Cox: 6.3%404 Media: 4.8%Appeal to Emotion13.3%This article: 0.0%Joseph Cox: 0.2%404 Media: 0.7%Begging the Question0.0%This article: 3.9%Joseph Cox: 1.8%404 Media: 2.0%Post Hoc (False Cause)3.9%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%Tu Quoque0.0%This article: 2.6%Joseph Cox: 1.7%404 Media: 0.5%Burden of Proof2.6%This article: 0.0%Joseph Cox: 0.3%404 Media: 0.4%Appeal to Nature0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.2%Composition/Division0.0%This article: 6.2%Joseph Cox: 2.2%404 Media: 2.9%Anecdotal6.2%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%No True Scotsman0.0%This article: 21.8%Joseph Cox: 4.6%404 Media: 2.1%Ambiguity (Equivocation)21.8%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%Middle Ground0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%Personal Incredulity0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%Special Pleading0.0%This article: 0.0%Joseph Cox: 0.0%404 Media: 0.1%Genetic Fallacy0.0%This article: 11.1%Joseph Cox: 4.8%404 Media: 2.6%Unattributed Quote11.1%This article: 6.2%Joseph Cox: 2.7%404 Media: 1.6%Quote-first Misdirection6.2%This article: 0.0%Joseph Cox: 9.8%404 Media: 11.5%Biased Writer Voice0.0%This article: 3.9%Joseph Cox: 2.2%404 Media: 1.5%Indoctrination3.9%This article: 0.0%Joseph Cox: 2.5%404 Media: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Joseph Cox: 0.2%404 Media: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Joseph Cox: 7.7%404 Media: 2.9%Attempt to Sell a Product or S…0.0%

467 words analyzed.

Speakers

1speaker2.6%attributed speech455writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageICE • 12 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverage
Selected voice

ICE

100%flagged-word coverage
12 attributed words100% of attributed speech99% writer coverage
0%7.5%15.0%Unattributed Quote-11.4 ptsWriter: 11.4%ICE: 0.0%0.0%Quote-first Misdirection-6.4 ptsWriter: 6.4%ICE: 0.0%0.0%Indoctrination-4.0 ptsWriter: 4.0%ICE: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.