Gizmodo62%

‘My Soul Left My Body’: Amazon Accidentally Bills Users Billions of Times What They Owe 55%

By Mike Pearl76%

7/18/2026, 8:39:19 PM

BS Summary: This article contains 24 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Confirmation Bias, with Appeal to Authority as the most egregious example at 40.5% saturation with 151 hits. Analysis detected 1,143 faulty-reasoning hits from 373 analyzed words, generating a BS Score of 53.3% and a BS Rank of 55% (8,093 of 17,854 articles). This article is worse (more manipulative) than 54.70% of the article peer group.

Most of us sense we’re in an affordability crisis these days. 
If you’re like me, you’re helpless and complacent at the checkstand even when it feels like you’re being mugged. 
But being billed for billions—or even trillions—more than you owe on web hosting would snap anyone out of their affordability daze. 
Amazon Web Services users around the world have noticed one such glitch: 
Bharath, an X user based in India, showed off what looks like a $1,499,659,180,107 cost statement and writes, “my soul left my body.” 
That statement says Bharath’s total is up by 744,728,201,771% this month, which means, by my math, the previous month’s bill was about $200. 
According to the Guardian, a marketer named Dan Harvey, working for an educational nonprofit in the U.K. said he “almost had a heart attack” after seeing a bill climb from 43 cents last month to $7.8 billion this month—and the month wasn’t even over. 
Harvey added to the Guardian that he had to get on the phone with tech support and “have a real dig around,” to get to the bottom of things. 
Amazon did not apparently return the Guardian’s request for comment. 
This has been resolved, according to Amazon, which writes that on July 16 and 17, “customers received erroneous budget and cost anomaly detection alerts, and saw inflated estimated cost and usage data in the Billing and Cost Management Console and the Cost and Usage Reports.” 
The amounts are “inaccurate” and “did not affect customer invoices,” Amazon writes, but everything has apparently been restored to normal. 
An update Saturday on the AWS service health dashboard lays out what happened. 
Apparently on July 16, a faulty “configuration change” in the AWS billing system was implemented. 
“This system relies on unit conversion data to calculate line item charges,” AWS writes, but the change “caused updates to the unit conversion data to fail, resulting in inflated line item costs, which propagated to the Billing and Cost Management console and triggered the budget and cost anomaly alerts.” 
Logs on the health dashboard show AWS trying to roll out a solution for about two days before marking the issue as fully resolved. 
Confirmation Bias
23.3%
Anchoring Bias
0%
Availability Heuristic
18%
Representativeness Heuristic
0%
Hindsight Bias
10.5%
Overconfidence Bias
6.2%
Framing Effect
14.7%
Loss Aversion
5.6%
Status Quo Bias
12.1%
Sunk Cost Effect
0%
Optimism Bias
5.4%
Pessimism Bias
5.1%
Negativity Bias
29.8%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
7.8%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
3.5%
Primacy Effect
2.9%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
40.5%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
6.2%
Red Herring
7.8%
Bandwagon
3.2%
Appeal to Emotion
26.5%
Begging the Question
0%
Post Hoc (False Cause)
4%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
18%
No True Scotsman
0%
Ambiguity (Equivocation)
22%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
18.2%
Quote-first Misdirection
6.2%
Biased Writer Voice
9.1%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

373 words analyzed.

Analysis

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