My Little Sister Is Deployed in the Middle East. Her Base Was Hit 4%

By Karen Marks0%

7/29/2026, 4:00:00 AM

BS Summary: This article contains 27 faulty reasoning types, including Confirmation Bias, Biased Writer Voice, and Availability Heuristic, with Anecdotal as the most egregious example at 7.8% saturation with 69 hits. Analysis detected 665 faulty-reasoning hits from 886 analyzed words, generating a BS Score of 11.2% and a BS Rank of 4% (29,418 of 30,584 articles). This article is better (less manipulative) than 96.20% of the article peer group.

My little sister has been in the military for 19 years, serving in Germany, U.S. territories, South Carolina, and elsewhere. 
Since February, she’s called a base in the Middle East home. 
I’ve known her location and her proximity to danger for months, but it had felt like she wasn’t really there . 
Iran seemed intent on attacking bases other than hers, and American casualties were rare . 
Our conversations were often about how bored she was. 
The lousy food. 
How unbearable the heat and the flies are. 
Karen Marks, left, with her little sister at Easter. 
Her sister is currently deployed to the Middle East, and the two talk or text nearly every day. 
(Photo courtesy of the author.) 
Sometimes I send her articles and ask if what I’m reading about is happening near her. 
If she answers, it’s usually to tell me not to believe everything I see. 
But she doesn’t tell me much. 
She doesn’t want me to worry and can’t tell me information she’s not authorized to share. 
There are many reasons; none of them let me sleep better at night. 
My sister and I couldn’t be more different. 
Growing up, I cared about good grades, college, and building a fairly traditional life, whereas she spent high school partying and then working while she figured out her path. 
When we were young, our differences created distance in our relationship, but when my sister joined the Air Force—creating an actual, physical distance—it somehow brought us closer. 
We haven’t lived in the same state in almost 20 years, but we talk and text almost every day. 
When she’s on leave from the military, it’s at my house. 
We’re now as close as two sisters can be. 
When her spouse suddenly died two years ago, I was in the car almost immediately, driving 13 hours to be with her. 
It wasn’t until she was badly injured by a drunk driver while stationed overseas that I learned what it’s like to worry about her from so far away. 
She was supposed to be home by Memorial Day. 
“Start looking for a lake house,” she told me. 
It made no sense without firm dates, but I still looked. 
Then Memorial Day passed, as did the next anticipated date in June. 
Now her departure date is at the end of August. 
But we both know that date isn’t any more real than the others. 
Karen Marks sends food photos and TikTok videos to her sister, who is serving in the Middle East. 
The photos serve both as a way to connect and to confirm her sister is still alive. 
(Photo courtesy of the author) 
On a Monday in July, I texted her a picture of the French toast I had cooked. 
She responded with a funny GIF and told me to fuck off because she’s tired of rice. 
She sent me a picture of some gray hair she found and I sent her a picture of mine. 
This is what middle-aged sisters send each other when they’re 6,000 miles apart. 
Later that week, she video called me at 7:30 p.m. my time. 
It was 2:30 a.m. for her, and so dark that I could barely make out her helmet and vest. 
She calmly told me her base had just been hit. 
Her friend was in the dorm that was struck. 
He survived, but she didn’t know much more. 
She turned around the camera for the briefest of moments to show me the dark sky and the pinkish-purplish smoke. 
She had heard over the radio that there were casualties. 
The distance is not new, but the worry is different now. 
A few days ago, my sister was merely danger-adjacent. 
Now she has survived an attack on her base that killed three Americans. 
My heart and my concentration are gone. 
My phone’s primary use? 
News alerts and texts from my sister. 
I don’t want to constantly ask if she’s alive. 
That’s morbid. 
But I need to know that she’s alive. 
I recently asked her if she was scared. 
In 19 years of service, it was the first time I ever asked her that. 
“Yes, of course,” she wrote back. 
“Anyone saying different is lying.” 
Chairman of the Joint Chiefs of Staff Gen. 
Dan Caine presents an Operation Epic Fury ceasefire timeline during a press briefing in May. 
(Photo Benjamin Applebaum) 
The news cycle is very slow. 
I knew what happened for almost 24 hours before it was in the media. 
So I scrolled through TikTok looking for something funny to send her—because when she hearts it, I know that she’s OK. 
Here in the United States, we debate this war in the abstract—whether the Iranian regime is evil, if we should even be there, whether this administration made the right call. 
My sister doesn’t get the abstract version. 
So I will keep sending her pictures of my food, the dogs, and funny TikTok videos—so she knows how much she is loved, and I know that she’s still there. 
This War Horse Reflection was edited by Kim Vo, fact-checked by Trey Strange, and copy-edited by Mitchell Hansen-Dewar. 
The post My Little Sister Is Deployed in the Middle East. 
Her Base Was Hit appeared first on The War Horse . 
Article reasoning-pattern comparisonThis article: 6.4%Karen Marks: 0.0%The War Horse: 1.5%Confirmation Bias6.4%This article: 1.2%Karen Marks: 0.7%The War Horse: 0.6%Anchoring Bias1.2%This article: 4.3%Karen Marks: 0.8%The War Horse: 1.1%Availability Heuristic4.3%This article: 2.4%Karen Marks: 0.0%The War Horse: 0.2%Representativeness Heuristic2.4%This article: 0.0%Karen Marks: 0.6%The War Horse: 0.8%Hindsight Bias0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.4%Overconfidence Bias0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 2.7%Framing Effect0.0%This article: 3.2%Karen Marks: 1.6%The War Horse: 1.4%Loss Aversion3.2%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.2%Status Quo Bias0.0%This article: 3.0%Karen Marks: 0.0%The War Horse: 0.2%Sunk Cost Effect3.0%This article: 3.4%Karen Marks: 0.8%The War Horse: 1.5%Optimism Bias3.4%This article: 3.2%Karen Marks: 0.0%The War Horse: 0.4%Pessimism Bias3.2%This article: 2.3%Karen Marks: 1.1%The War Horse: 4.0%Negativity Bias2.3%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.8%Self-Serving Bias0.0%This article: 3.3%Karen Marks: 1.6%The War Horse: 0.6%Fundamental Attribution Error3.3%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Actor-Observer Bias0.0%This article: 3.4%Karen Marks: 1.7%The War Horse: 0.7%In-Group Bias3.4%This article: 0.8%Karen Marks: 0.0%The War Horse: 0.1%Out-Group Homogeneity Bias0.8%This article: 1.0%Karen Marks: 0.0%The War Horse: 0.7%Halo Effect1.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Horn Effect0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Dunning-Kruger Effect0.0%This article: 2.4%Karen Marks: 2.7%The War Horse: 0.3%Recency Bias2.4%This article: 1.7%Karen Marks: 0.0%The War Horse: 0.0%Primacy Effect1.7%This article: 2.4%Karen Marks: 0.0%The War Horse: 0.0%Blind-Spot Bias2.4%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.3%Ad Hominem0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.1%Straw Man0.0%This article: 3.3%Karen Marks: 0.0%The War Horse: 1.1%Appeal to Authority3.3%This article: 3.4%Karen Marks: 0.0%The War Horse: 0.3%False Dilemma3.4%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.4%Slippery Slope0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Circular Reasoning0.0%This article: 3.2%Karen Marks: 0.3%The War Horse: 1.3%Hasty Generalization3.2%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.1%Red Herring0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.2%Bandwagon0.0%This article: 1.1%Karen Marks: 0.0%The War Horse: 3.5%Appeal to Emotion1.1%This article: 0.6%Karen Marks: 0.0%The War Horse: 0.1%Begging the Question0.6%This article: 3.0%Karen Marks: 0.0%The War Horse: 0.8%Post Hoc (False Cause)3.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Tu Quoque0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.1%Burden of Proof0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.1%Appeal to Nature0.0%This article: 0.8%Karen Marks: 0.0%The War Horse: 0.0%Composition/Division0.8%This article: 7.8%Karen Marks: 0.0%The War Horse: 1.3%Anecdotal7.8%This article: 0.6%Karen Marks: 0.0%The War Horse: 0.0%No True Scotsman0.6%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.5%Ambiguity (Equivocation)0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Middle Ground0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Personal Incredulity0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Special Pleading0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Genetic Fallacy0.0%This article: 1.0%Karen Marks: 0.0%The War Horse: 0.7%Unattributed Quote1.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.1%Quote-first Misdirection0.0%This article: 6.1%Karen Marks: 0.0%The War Horse: 0.3%Biased Writer Voice6.1%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.3%Indoctrination0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Karen Marks: 0.0%The War Horse: 0.0%Attempt to Sell a Product or S…0.0%

886 words analyzed.

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Analysis

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