WIRED13%

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

By Caroline Haskins85%

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% (7,446 of 20,437 articles). This article is worse (more manipulative) than 63.60% 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. 
Article reasoning-pattern comparisonThis article: 0.0%Caroline Haskins: 0.0%WIRED: 1.8%Confirmation Bias0.0%This article: 1.7%Caroline Haskins: 2.8%WIRED: 0.7%Anchoring Bias1.7%This article: 27.9%Caroline Haskins: 17.0%WIRED: 2.9%Availability Heuristic27.9%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.8%Representativeness Heuristic0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.9%Hindsight Bias0.0%This article: 9.6%Caroline Haskins: 3.2%WIRED: 1.3%Overconfidence Bias9.6%This article: 7.3%Caroline Haskins: 3.2%WIRED: 4.3%Framing Effect7.3%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.4%Loss Aversion0.0%This article: 8.7%Caroline Haskins: 2.9%WIRED: 0.5%Status Quo Bias8.7%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Sunk Cost Effect0.0%This article: 5.9%Caroline Haskins: 3.9%WIRED: 2.2%Optimism Bias5.9%This article: 0.0%Caroline Haskins: 0.0%WIRED: 1.3%Pessimism Bias0.0%This article: 34.1%Caroline Haskins: 28.1%WIRED: 5.6%Negativity Bias34.1%This article: 0.0%Caroline Haskins: 0.0%WIRED: 1.2%Self-Serving Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.8%Fundamental Attribution Error0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.2%Actor-Observer Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 1.0%In-Group Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 2.0%Halo Effect0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.0%Horn Effect0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.9%Recency Bias0.0%This article: 6.8%Caroline Haskins: 2.3%WIRED: 0.3%Primacy Effect6.8%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Blind-Spot Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.3%Ad Hominem0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.2%Straw Man0.0%This article: 28.7%Caroline Haskins: 9.6%WIRED: 3.2%Appeal to Authority28.7%This article: 0.0%Caroline Haskins: 0.0%WIRED: 1.2%False Dilemma0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.5%Slippery Slope0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.2%Circular Reasoning0.0%This article: 3.9%Caroline Haskins: 3.9%WIRED: 4.4%Hasty Generalization3.9%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Red Herring0.0%This article: 2.5%Caroline Haskins: 0.8%WIRED: 0.4%Bandwagon2.5%This article: 7.9%Caroline Haskins: 6.1%WIRED: 2.9%Appeal to Emotion7.9%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.3%Begging the Question0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 2.5%Post Hoc (False Cause)0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.0%Tu Quoque0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.3%Burden of Proof0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Appeal to Nature0.0%This article: 10.1%Caroline Haskins: 3.4%WIRED: 0.3%Composition/Division10.1%This article: 25.6%Caroline Haskins: 16.4%WIRED: 3.6%Anecdotal25.6%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%No True Scotsman0.0%This article: 15.2%Caroline Haskins: 5.1%WIRED: 1.4%Ambiguity (Equivocation)15.2%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Middle Ground0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Personal Incredulity0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Special Pleading0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.1%Genetic Fallacy0.0%This article: 8.7%Caroline Haskins: 8.9%WIRED: 1.1%Unattributed Quote8.7%This article: 18.0%Caroline Haskins: 8.0%WIRED: 0.6%Quote-first Misdirection18.0%This article: 10.4%Caroline Haskins: 8.8%WIRED: 4.0%Biased Writer Voice10.4%This article: 0.0%Caroline Haskins: 0.0%WIRED: 1.0%Indoctrination0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Caroline Haskins: 0.0%WIRED: 2.3%Attempt to Sell a Product or S…0.0%

355 words analyzed.

Speakers

3speakers32%attributed speech243writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverageBill Radjewski • 24 words • 100.0% coverageBill Radjewski • 11 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageAisha Johnson • 16 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageAWS • 31 words • 0.0% coverageAWS • 9 words • 0.0% coverageAWS • 21 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverage
Selected voice

AWS

85%flagged-word coverage
61 attributed words54% of attributed speech83% writer coverage
0%15.0%30.0%Quote-first Misdirection-26.3 ptsWriter: 26.3%AWS: 0.0%0.0%Biased Writer Voice-15.2 ptsWriter: 15.2%AWS: 0.0%0.0%Unattributed Quote-2.9 ptsWriter: 2.9%AWS: 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.