404 Media48%

You Opened a Credit Card. ICE Now Knows Where You Live 91%

By Joseph Cox67%

7/22/2026, 1:14:27 PM

BS Summary: This article contains 18 faulty reasoning types, including Framing Effect, Burden of Proof, and Biased Writer Voice, with Negativity Bias as the most egregious example at 68.9% saturation with 155 hits. Analysis detected 779 faulty-reasoning hits from 225 analyzed words, generating a BS Score of 85.5% and a BS Rank of 91% (1,903 of 21,187 articles). This article is worse (more manipulative) than 91.00% of the article peer group.

When you open a new credit card, you necessarily give the credit card company your address. 
You probably expect that information to remain with your bank. 
But when you open a new credit card or change your address on file, your address leaves your credit card provider, travels through a web of middlemen companies, and ends up with Immigration and Customs Enforcement (ICE), which can then search, analyze, or pair that data with other pieces of information about your life without a warrant. 
404 Media has mapped out this supply of data by reviewing U.S. government procurement records and internal documents from companies providing the information. 
It highlights the sometimes unexpected ways ICE is gaining access to peoples’ personal information as the agency continues to acquire and leverage all sorts of data. 
The agency is buying information not just for immigration enforcement but to also investigate what the administration describes as ‘voter fraud.’ 
ICE officials have also repeatedly attempted to intimidate legal observers of ICE activity. 
“No one signing up for a credit card thinks they're giving data brokers a thumbs-up to sell their personal information to ICE. 
Not only is it an outrageous violation of our privacy, it's impossible for Americans to opt out,” Senator Ron Wyden told 404 Media in a statement. 
Confirmation Bias
13.8%
Anchoring Bias
0%
Availability Heuristic
2.7%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
10.2%
Framing Effect
52.9%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
11.6%
Negativity Bias
68.9%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
10.2%
False Dilemma
11.6%
Slippery Slope
25.3%
Circular Reasoning
0%
Hasty Generalization
7.1%
Red Herring
9.3%
Bandwagon
0%
Appeal to Emotion
21.3%
Begging the Question
11.6%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
35.1%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
5.8%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
9.8%
Quote-first Misdirection
11.6%
Biased Writer Voice
27.6%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

225 words analyzed.

Analysis

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