WIRED11%

AWS Billing Glitch Hits Customers With Billion-Dollar Fees 64%

By Caroline Haskins87%

7/17/2026, 7:50:38 PM

BS Summary: This article contains 18 faulty reasoning types, including Appeal to Authority, Availability Heuristic, and Anecdotal, with Negativity Bias as the most egregious example at 34.1% saturation with 121 hits. Analysis detected 828 faulty-reasoning hits from 355 analyzed words, generating a BS Score of 58.9% and a BS Rank of 64% (6,755 of 18,283 articles). This article is worse (more manipulative) than 63.10% of the article peer group.

Bill Radjewski, who runs CollegeFootballData.com, was one of the affected customers. 
This morning, he woke up to a jarring email alert from AWS: He had racked up more than $1.5 billion in usage fees, and his August 1 bill was on track to be upwards of $3 billion. 
“I've had this account for 6+ years and in that time my monthly spend has never exceeded $0.02,” Radjewski tells WIRED in an email. 
He shared screenshots of his three most recent monthly AWS invoices. 
They each came out to $0.01. 
Based on replies to the AWS Support account on X, Radjewski is not alone. 
Others have received similarly shocking quotes: $22 billion; $75 billion; $110 billion. 
“Blud why did you hit me with a cost of 5 million USD what did I even do,” one user wrote. 
“Please explain man my heart will explode.” 
When reached for comment, Amazon spokesperson Aisha Johnson referred WIRED to the AWS Service Health Dashboard. 
While it’s not clear exactly how many customers have been affected, the dashboard characterized the issue as “global.” 
The dashboard also said that the billing console “began displaying incorrect estimated billing data” on Thursday, July 16, at 10:38 pm EDT. 
The company began investigating the issue about six hours later, per the dashboard, and concluded that the “root cause” of the error was “an issue with unit pricing within the estimated billing computation subsystem.” 
It did not specify what the issue was. 
In subsequent updates, AWS said it’s “rolling back a recent change to the billing computation subsystem” and that it was attempting to revert to its “last known good estimated bill computation.” 
It also said it had “paused estimated billing computations.” 
The issue should be resolved by this weekend, and “there are no customer actions required at this time,” the company wrote. 
Ultimately, some customers have decided to post through it. 
One Reddit user posted a screenshot of their current "cost and usage overview" to the AWS subreddit, which showed that they had incurred $7.1 trillion in service fees since July 1—more than twice Amazon’s market cap. 
Confirmation Bias
0%
Anchoring Bias
1.7%
Availability Heuristic
27.9%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
9.6%
Framing Effect
7.3%
Loss Aversion
0%
Status Quo Bias
8.7%
Sunk Cost Effect
0%
Optimism Bias
5.9%
Pessimism Bias
0%
Negativity Bias
34.1%
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
6.8%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
28.7%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
3.9%
Red Herring
0%
Bandwagon
2.5%
Appeal to Emotion
7.9%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
10.1%
Anecdotal
25.6%
No True Scotsman
0%
Ambiguity (Equivocation)
15.2%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
8.7%
Quote-first Misdirection
18%
Biased Writer Voice
10.4%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

355 words analyzed.

Analysis

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