NPR84%

Why do airline computer systems fail? What the industry can learn from meltdowns91%

By Joel Rose0%

12/26/2025, 10:00:00 AM

BS Summary: This article contains 22 faulty reasoning types, including Negativity Bias, Anecdotal, and Framing Effect, with Appeal to Authority as the most egregious example at 48% saturation with 368 hits. Analysis detected 1,965 faulty-reasoning hits from 766 analyzed words, generating a BS Score of 84.7% and a BS Rank of 91% (1,963 of 20,366 articles). This article is worse (more manipulative) than 90.40% of the article peer group.

This year Alaska Airlines joined the long list of airlines forced to ground their planes because of IT outages. 
Tony Scott had already boarded his flight from Seattle to Dallas back in July when his problems started. 
It was about 8 p.m. on a Sunday night when the flight crew asked the passengers to get off the plane. 
By the next day, Alaska Airlines would cancel hundreds of flights, many of them out of its hub at the Seattle-Tacoma International Airport. 
"It was chaos," Scott remembers. 
"The baggage people were clearly overwhelmed. 
The customer service people were overwhelmed. 
Every aspect of it was, you know, just a disaster and left people with no information, the wrong information." 
Alaska joined the long list of airlines forced to ground their planes because of IT outages in recent years. 
Millions of Americans will fly during the holidays. 
Every one of those flights depends on complex computer systems to manage the crew, assign the seats, and more. 
Occasionally, those systems fail  and when they do, they can ground an entire airline. 
Every incident is a bit different, from the faulty software update that grounded thousands of Delta Air Lines flights last year, to the holiday meltdown that brought Southwest Airlines to its knees three years ago. 
But industry experts say there are some conclusions to be drawn about why these systems fail, and what airlines can learn from past disruptions. 
"It's the backbone of this ecosystem that is extremely fragile," says Eash Sundaram, the former chief information officer of JetBlue Airways. 
The industry is unusual, he says, because there is a lack of commercially available software tools for much of what airlines do. 
Airlines either have to build their own systems, or cobble them together from multiple vendors. 
"The challenge is when one falls apart, it's cascading pretty quick," says Sundaram, who now runs the venture capital fund Utpata Ventures. 
"All it takes is 100 flights to be cancelled (to) completely shut down the entire network." 
Alaska Airlines blamed the IT outage in July on the "unexpected failure" of a critical piece of hardware at one of its data centers. 
(The company suffered another "significant" outage in October that forced it to cancel more than 100 flights.) 
After the first Alaska outage, Tony Scott wound up sleeping on the floor of the Seattle airport. 
But Scott is not simply a disgruntled traveler; he's also a veteran of the tech industry, having served as chief information officer both at Microsoft and in the federal government under President Obama. 
Scott, who is now the CEO of a cybersecurity company called Intrusion, has some theories about why airline computer systems are prone to major IT meltdowns like the one he experienced firsthand. 
"It's just a spider's web of technology that's been used to automate everything that they do, all architected at different times from different people," Scott says. 
"If you were to sit down and do it from scratch, you would never, ever design it the way that it is." 
Once an airline's network goes down, it's not easy to get it up and running again. 
That's a lesson Southwest Airlines learned the hard way three years ago, when a major winter storm slammed much of the country. 
While other airlines managed to get their operations going again within days, Southwest did not. 
"We were highly impacted in a couple key cities that were very crucial to our crew network," says Lauren Woods, the chief information officer at Southwest. 
She had just been named to that job, and hadn't officially started yet in December of 2022. 
Since then, Woods tells NPR, the airline has made big investments in its technology, including the system that manages its flight crews. 
"We will see problems much earlier in the process, especially around our crew network, which is why we've been able since then to weather actually even bigger disruptions," Woods says. 
"Those capabilities and those investments we made really help us be a much better airline going forward." 
Southwest is not immune to tech problems. 
But now the airline is now able to respond quickly and proactively, she adds. 
"We may have a tech outage, but you care less about it if it's a five minute recovery, and I have many of those, versus I had one major tech outage and it took me down for a day," Woods says. 
So, information technology outages will happen again. 
It's just a question of when. 
And the test for airlines is how quickly they can get their planes  and their customers  back in the air. 
Article reasoning-pattern comparisonThis article: 3.8%Joel Rose: 0.8%Goats and Soda (NPR): 0.3%Actor-Observer Bias3.8%This article: 5.6%Joel Rose: 2.3%Goats and Soda (NPR): 1.6%Anchoring Bias5.6%This article: 17.2%Joel Rose: 8.7%Goats and Soda (NPR): 3.8%Availability Heuristic17.2%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.1%Blind-Spot Bias0.0%This article: 7.3%Joel Rose: 4.8%Goats and Soda (NPR): 3.4%Confirmation Bias7.3%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.0%Dunning-Kruger Effect0.0%This article: 18.5%Joel Rose: 12.1%Goats and Soda (NPR): 11.1%Framing Effect18.5%This article: 0.0%Joel Rose: 1.4%Goats and Soda (NPR): 1.1%Fundamental Attribution Error0.0%This article: 4.3%Joel Rose: 3.2%Goats and Soda (NPR): 2.8%Halo Effect4.3%This article: 2.9%Joel Rose: 2.7%Goats and Soda (NPR): 0.8%Hindsight Bias2.9%This article: 0.0%Joel Rose: 0.2%Goats and Soda (NPR): 0.3%Horn Effect0.0%This article: 0.0%Joel Rose: 1.3%Goats and Soda (NPR): 2.3%In-Group Bias0.0%This article: 5.4%Joel Rose: 1.9%Goats and Soda (NPR): 1.2%Loss Aversion5.4%This article: 42.3%Joel Rose: 17.6%Goats and Soda (NPR): 11.3%Negativity Bias42.3%This article: 16.2%Joel Rose: 8.0%Goats and Soda (NPR): 3.4%Optimism Bias16.2%This article: 2.0%Joel Rose: 1.2%Goats and Soda (NPR): 1.2%Out-Group Homogeneity Bias2.0%This article: 5.4%Joel Rose: 4.8%Goats and Soda (NPR): 2.4%Overconfidence Bias5.4%This article: 12.8%Joel Rose: 3.5%Goats and Soda (NPR): 2.3%Pessimism Bias12.8%This article: 0.0%Joel Rose: 0.3%Goats and Soda (NPR): 0.5%Primacy Effect0.0%This article: 0.0%Joel Rose: 3.6%Goats and Soda (NPR): 1.7%Recency Bias0.0%This article: 0.0%Joel Rose: 1.4%Goats and Soda (NPR): 1.2%Representativeness Heuristic0.0%This article: 14.5%Joel Rose: 8.6%Goats and Soda (NPR): 2.3%Self-Serving Bias14.5%This article: 0.0%Joel Rose: 0.9%Goats and Soda (NPR): 1.1%Status Quo Bias0.0%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.2%Sunk Cost Effect0.0%This article: 0.0%Joel Rose: 0.2%Goats and Soda (NPR): 1.2%Ad Hominem0.0%This article: 0.0%Joel Rose: 0.5%Goats and Soda (NPR): 1.5%Ambiguity (Equivocation)0.0%This article: 23.1%Joel Rose: 8.3%Goats and Soda (NPR): 2.8%Anecdotal23.1%This article: 48.0%Joel Rose: 14.8%Goats and Soda (NPR): 6.1%Appeal to Authority48.0%This article: 0.0%Joel Rose: 5.2%Goats and Soda (NPR): 6.6%Appeal to Emotion0.0%This article: 0.0%Joel Rose: 0.1%Goats and Soda (NPR): 0.2%Appeal to Nature0.0%This article: 5.0%Joel Rose: 0.6%Goats and Soda (NPR): 0.7%Bandwagon5.0%This article: 0.0%Joel Rose: 0.7%Goats and Soda (NPR): 0.9%Begging the Question0.0%This article: 0.0%Joel Rose: 0.1%Goats and Soda (NPR): 0.4%Burden of Proof0.0%This article: 0.0%Joel Rose: 0.1%Goats and Soda (NPR): 0.1%Circular Reasoning0.0%This article: 0.0%Joel Rose: 0.2%Goats and Soda (NPR): 0.2%Composition/Division0.0%This article: 2.0%Joel Rose: 2.4%Goats and Soda (NPR): 1.5%False Dilemma2.0%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.0%Gambler’s Fallacy0.0%This article: 0.0%Joel Rose: 0.4%Goats and Soda (NPR): 0.5%Genetic Fallacy0.0%This article: 7.4%Joel Rose: 7.2%Goats and Soda (NPR): 4.4%Hasty Generalization7.4%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.1%Middle Ground0.0%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.1%No True Scotsman0.0%This article: 2.9%Joel Rose: 1.1%Goats and Soda (NPR): 0.1%Personal Incredulity2.9%This article: 3.1%Joel Rose: 5.0%Goats and Soda (NPR): 2.8%Post Hoc (False Cause)3.1%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.3%Red Herring0.0%This article: 6.9%Joel Rose: 1.8%Goats and Soda (NPR): 1.3%Slippery Slope6.9%This article: 0.0%Joel Rose: 0.7%Goats and Soda (NPR): 0.2%Special Pleading0.0%This article: 0.0%Joel Rose: 0.1%Goats and Soda (NPR): 0.3%Straw Man0.0%This article: 0.0%Joel Rose: 0.0%Goats and Soda (NPR): 0.2%Tu Quoque0.0%

766 words analyzed.

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