ZDNET68%

Hit by T-Mobile's outage? You can get up to $80 in credit - here's how 13%

By Lance Whitney51%

8/5/2026, 10:18:59 AM

BS Summary: This article contains 21 faulty reasoning types, including Attempt to Sell a Product or Service, Anecdotal, and Confirmation Bias, with Indoctrination as the most egregious example at 20.1% saturation with 111 hits. Analysis detected 911 faulty-reasoning hits from 551 analyzed words, generating a BS Score of 21.9% and a BS Rank of 13% (26,514 of 30,185 articles). This article is better (less manipulative) than 87.80% of the article peer group.

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ZDNET's key takeaways T-Mobile gave bill credits to some customers affected by an outage.One subscriber received $80, while others said they got $60. 
Most customers reported credits of $10 to $15. 
A recent T-Mobile outage impacted many of its subscribers, and now some of them have been asking the carrier for credit.On July 27, T-Mobile's network went down for customers around the nation, resulting in the dreaded SOS messages when they tried to connect via their phones. 
The outage was mostly fixed toward the end of the day, with the company stating that it had fully restored service for all customers. 
However, some are still reporting scattered outages, according to Downdetector. 
Also: T-Mobile, Verizon or AT&T? 
New study reveals best mobile carrier - ranks internet providers, tooIf you were one of the unlucky customers unable to get service that day, you could have gotten compensated for your misfortune by contacting T-Mobile customer support." 
Last Monday, we applied a $10 bill credit to customers who reached out to our Customer Care teams following the technical challenges," T-Mobile told ZDNET "Those customers were notified by text message that the credit had already been applied to their account. 
We continue work with customers based on their individual experience.The carrier qualified the credit process by saying that "the technical challenges early last week did not affect every customer, and the experience varied for those who encountered difficulties." 
Some subscribers ran into lengthy disruptions, T-Mobile said, while others encountered only brief disruptions. 
As such, there is no one blanket bill credit for all customers.Beyond the $10 credit given to subscribers who contacted the company, others have been requesting and receiving larger amounts. 
Those seem to be based partly on their experience and partly on their persistence, at least according to a Reddit thread from late last week.How to request a credit from T-MobileRequesting a credit seems simple enough. 
But the comments in the Reddit thread indicate that everyone's mileage has been varying. 
Also: T-Mobile will give you the new Samsung Galaxy Z Flip for practically nothing if you preorder nowAt the top of the list is one customer who said they received $80. 
At first, the T-Mobile rep offered this person $70 in credit. 
But after speaking with a supervisor, the rep upped it to $80 ($20 upfront and $10 a month for the next six months). 
A couple of other people said they got $60. 
But alas, most of the amounts were far lower, typically around $10 to $15. 
So, what should you do if you were impacted by the outage and would like compensation? 
Also: T-Mobile will pay for your first month of 5G home internet, and give you up to $200 back - here's howCall customer service, but don't complain or criticize. 
Instead, politely explain how the outage affected you and your work or business, and that you feel you deserve some credit. 
If the rep lowballs you, try to be persistent, even if you must ask to speak to a supervisor. 
Know that you might not score the grand prize of $80, but even the standard amount of $10 off your next bill is better than nothing. 
Article reasoning-pattern comparisonThis article: 14.2%Lance Whitney: 2.8%ZDNET: 2.8%Confirmation Bias14.2%This article: 6.2%Lance Whitney: 1.1%ZDNET: 1.3%Anchoring Bias6.2%This article: 8.5%Lance Whitney: 3.1%ZDNET: 2.8%Availability Heuristic8.5%This article: 4.0%Lance Whitney: 0.4%ZDNET: 0.8%Representativeness Heuristic4.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.4%Hindsight Bias0.0%This article: 7.8%Lance Whitney: 1.9%ZDNET: 2.7%Overconfidence Bias7.8%This article: 0.9%Lance Whitney: 2.2%ZDNET: 3.2%Framing Effect0.9%This article: 4.7%Lance Whitney: 1.5%ZDNET: 1.1%Loss Aversion4.7%This article: 0.0%Lance Whitney: 0.3%ZDNET: 0.7%Status Quo Bias0.0%This article: 0.0%Lance Whitney: 0.2%ZDNET: 0.2%Sunk Cost Effect0.0%This article: 4.7%Lance Whitney: 6.5%ZDNET: 3.9%Optimism Bias4.7%This article: 2.5%Lance Whitney: 1.1%ZDNET: 1.3%Pessimism Bias2.5%This article: 10.9%Lance Whitney: 5.4%ZDNET: 4.4%Negativity Bias10.9%This article: 3.8%Lance Whitney: 1.0%ZDNET: 1.3%Self-Serving Bias3.8%This article: 0.0%Lance Whitney: 0.3%ZDNET: 0.3%Fundamental Attribution Error0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Actor-Observer Bias0.0%This article: 0.0%Lance Whitney: 0.1%ZDNET: 0.4%In-Group Bias0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Lance Whitney: 3.3%ZDNET: 2.6%Halo Effect0.0%This article: 0.0%Lance Whitney: 1.6%ZDNET: 0.1%Horn Effect0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Dunning-Kruger Effect0.0%This article: 2.5%Lance Whitney: 1.2%ZDNET: 1.1%Recency Bias2.5%This article: 0.0%Lance Whitney: 0.1%ZDNET: 0.3%Primacy Effect0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.1%Blind-Spot Bias0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Ad Hominem0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.1%Straw Man0.0%This article: 7.6%Lance Whitney: 1.3%ZDNET: 3.7%Appeal to Authority7.6%This article: 0.9%Lance Whitney: 0.4%ZDNET: 1.2%False Dilemma0.9%This article: 0.0%Lance Whitney: 0.6%ZDNET: 0.6%Slippery Slope0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.2%Circular Reasoning0.0%This article: 8.0%Lance Whitney: 3.8%ZDNET: 5.3%Hasty Generalization8.0%This article: 12.3%Lance Whitney: 0.2%ZDNET: 0.4%Red Herring12.3%This article: 0.0%Lance Whitney: 0.1%ZDNET: 0.5%Bandwagon0.0%This article: 0.0%Lance Whitney: 1.8%ZDNET: 1.6%Appeal to Emotion0.0%This article: 0.0%Lance Whitney: 0.7%ZDNET: 0.5%Begging the Question0.0%This article: 0.0%Lance Whitney: 0.2%ZDNET: 1.3%Post Hoc (False Cause)0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Tu Quoque0.0%This article: 0.0%Lance Whitney: 0.3%ZDNET: 0.2%Burden of Proof0.0%This article: 0.0%Lance Whitney: 0.1%ZDNET: 0.1%Appeal to Nature0.0%This article: 0.0%Lance Whitney: 0.1%ZDNET: 0.2%Composition/Division0.0%This article: 14.9%Lance Whitney: 7.6%ZDNET: 4.2%Anecdotal14.9%This article: 0.0%Lance Whitney: 0.1%ZDNET: 0.1%No True Scotsman0.0%This article: 0.0%Lance Whitney: 0.7%ZDNET: 1.8%Ambiguity (Equivocation)0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.1%Middle Ground0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.1%Personal Incredulity0.0%This article: 4.2%Lance Whitney: 0.2%ZDNET: 0.1%Special Pleading4.2%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.1%Genetic Fallacy0.0%This article: 6.9%Lance Whitney: 1.1%ZDNET: 1.1%Unattributed Quote6.9%This article: 0.0%Lance Whitney: 0.4%ZDNET: 0.3%Quote-first Misdirection0.0%This article: 0.0%Lance Whitney: 8.0%ZDNET: 5.1%Biased Writer Voice0.0%This article: 20.1%Lance Whitney: 3.1%ZDNET: 2.8%Indoctrination20.1%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Lance Whitney: 0.0%ZDNET: 0.0%Politically Right Leaning Bias0.0%This article: 19.6%Lance Whitney: 2.1%ZDNET: 5.9%Attempt to Sell a Product or S…19.6%

551 words analyzed.

Speakers

2speakers19%attributed speech447writer words
Selected voice

T-Mobile

100%flagged-word coverage
94 attributed words90% of attributed speech90% writer coverage
0%22.5%45.0%Unattributed Quote+40.4 ptsWriter: 0.0%T-Mobile: 40.4%40.4%Indoctrination-24.8 ptsWriter: 24.8%T-Mobile: 0.0%0.0%Attempt to Sell a Product -24.2 ptsWriter: 24.2%T-Mobile: 0.0%0.0%

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

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Analysis

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