Newborn girl killed in horror North Hills murder-suicide as identities of 4 victims revealed 33%

By Zain Khan61% David Thompson0%

5/28/2026, 1:56:35 PM

BS Summary: This article contains 16 faulty reasoning types, including Appeal to Authority, Appeal to Emotion, and Availability Heuristic, with Negativity Bias as the most egregious example at 30.1% saturation with 123 hits. Analysis detected 575 faulty-reasoning hits from 408 analyzed words, generating a BS Score of 41.5% and a BS Rank of 33% (14,703 of 21,887 articles). This article is better (less manipulative) than 67.20% of the article peer group.

A six-day-old baby girl and 2-year-old boy were tragically gunned down alongside a man and woman in a horrific murder-suicide at a North Hills home, authorities said. 
The newborn and toddler were identified as Ella and Alec Basmajian, while the adult male victim was identified as Khajag Basmajian, 31, according to the Los Angeles County Medical Examiner. 
The fourth victim, a woman in her 30s, had not yet been identified pending family notification. 
Early stages of the LAPD investigation suggests it was the mother who shot and killed the man and two children before turning the gun on herself, according to the LA Times. 
The bloodshed unfolded just before 8 p.m. 
Wednesday inside a residence on the 16000 block of Londelius Street, the LAPD said. 
Emergency crews responded around 7:50 p.m. after callers reported multiple people shot inside the home. 
When officers and paramedics arrived, they found all four victims dead at the scene. 
At the outset of the investigation, authorities identified the victims only as an adult man and woman thought to be in their mid-to-late 30s, along with two young children. 
Officials initially estimated one child to be between 5 and 7 years old and the other to be a 4-month-old infant, but the medical examiner later revised their ages. 
Neighbors said the family who lived at the home largely kept to themselves, leaving many on the quiet residential block stunned by the violence. 
“Most of the time they’re probably inside their house or they mind their own business,” neighbor Boni Dizon, 63, told The California Post. 
Dizon said he heard several gunshots ring out Wednesday night but did not initially realize the severity of what happened. 
“I heard like a gunshot, like about four shots or five shots, but it was not really loud because it’s inside,” he said. 
“You don’t even realize what’s going on, and we don’t expect that to happen.” 
Another resident, Undreal Turner, described the killings as “devastating.” 
“It’s just shocking to be in our neighborhood, something that drastic and devastating in the neighborhood. 
It’s sad,” Turner told ABC 7. 
“Four people lost their lives today. 
We really need to hone in on our moms, and even dads, just to make sure, in the neighborhood, people that you know, that they’re OK. 
Do they need any help? 
Do they need any assistance? 
Do they need any support?” 
Article reasoning-pattern comparisonThis article: 7.6%Zain Khan: 3.7%California Post: 4.1%Confirmation Bias7.6%This article: 7.1%Zain Khan: 0.4%California Post: 1.4%Anchoring Bias7.1%This article: 10.3%Zain Khan: 2.6%California Post: 4.2%Availability Heuristic10.3%This article: 5.9%Zain Khan: 0.9%California Post: 1.1%Representativeness Heuristic5.9%This article: 0.0%Zain Khan: 0.1%California Post: 0.8%Hindsight Bias0.0%This article: 0.0%Zain Khan: 0.8%California Post: 2.2%Overconfidence Bias0.0%This article: 3.4%Zain Khan: 10.9%California Post: 10.3%Framing Effect3.4%This article: 0.0%Zain Khan: 0.6%California Post: 0.9%Loss Aversion0.0%This article: 0.0%Zain Khan: 0.6%California Post: 0.6%Status Quo Bias0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.2%Sunk Cost Effect0.0%This article: 3.4%Zain Khan: 1.5%California Post: 2.5%Optimism Bias3.4%This article: 3.4%Zain Khan: 1.5%California Post: 1.5%Pessimism Bias3.4%This article: 30.1%Zain Khan: 15.5%California Post: 16.0%Negativity Bias30.1%This article: 0.0%Zain Khan: 1.3%California Post: 2.4%Self-Serving Bias0.0%This article: 0.0%Zain Khan: 1.9%California Post: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.2%Actor-Observer Bias0.0%This article: 6.4%Zain Khan: 0.7%California Post: 1.6%In-Group Bias6.4%This article: 0.0%Zain Khan: 1.1%California Post: 1.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Zain Khan: 1.3%California Post: 3.1%Halo Effect0.0%This article: 0.0%Zain Khan: 0.2%California Post: 0.6%Horn Effect0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 4.9%Zain Khan: 1.4%California Post: 1.6%Recency Bias4.9%This article: 0.0%Zain Khan: 0.6%California Post: 0.5%Primacy Effect0.0%This article: 0.0%Zain Khan: 0.1%California Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Zain Khan: 1.4%California Post: 2.6%Ad Hominem0.0%This article: 0.0%Zain Khan: 0.1%California Post: 0.5%Straw Man0.0%This article: 15.0%Zain Khan: 5.2%California Post: 4.2%Appeal to Authority15.0%This article: 0.0%Zain Khan: 1.1%California Post: 1.5%False Dilemma0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.9%Slippery Slope0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.2%Circular Reasoning0.0%This article: 0.0%Zain Khan: 3.6%California Post: 5.5%Hasty Generalization0.0%This article: 0.0%Zain Khan: 0.8%California Post: 0.7%Red Herring0.0%This article: 0.0%Zain Khan: 1.3%California Post: 1.4%Bandwagon0.0%This article: 13.0%Zain Khan: 6.2%California Post: 8.9%Appeal to Emotion13.0%This article: 0.0%Zain Khan: 0.8%California Post: 1.1%Begging the Question0.0%This article: 0.0%Zain Khan: 2.7%California Post: 2.7%Post Hoc (False Cause)0.0%This article: 0.0%Zain Khan: 0.4%California Post: 0.2%Tu Quoque0.0%This article: 6.4%Zain Khan: 0.7%California Post: 0.8%Burden of Proof6.4%This article: 0.0%Zain Khan: 0.1%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Zain Khan: 0.2%California Post: 0.2%Composition/Division0.0%This article: 5.6%Zain Khan: 2.7%California Post: 3.6%Anecdotal5.6%This article: 0.0%Zain Khan: 0.0%California Post: 0.0%No True Scotsman0.0%This article: 0.0%Zain Khan: 2.7%California Post: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Zain Khan: 0.1%California Post: 0.1%Middle Ground0.0%This article: 0.0%Zain Khan: 0.0%California Post: 0.1%Personal Incredulity0.0%This article: 0.0%Zain Khan: 0.5%California Post: 0.2%Special Pleading0.0%This article: 0.0%Zain Khan: 1.2%California Post: 0.4%Genetic Fallacy0.0%This article: 0.0%Zain Khan: 4.0%California Post: 3.2%Unattributed Quote0.0%This article: 0.0%Zain Khan: 2.0%California Post: 2.1%Quote-first Misdirection0.0%This article: 8.3%Zain Khan: 8.9%California Post: 13.1%Biased Writer Voice8.3%This article: 10.0%Zain Khan: 2.2%California Post: 1.4%Indoctrination10.0%This article: 0.0%Zain Khan: 1.5%California Post: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Zain Khan: 4.4%California Post: 3.0%Politically Right Leaning Bias0.0%This article: 0.0%Zain Khan: 1.1%California Post: 6.0%Attempt to Sell a Product or S…0.0%

408 words analyzed.

Speakers

4speakers57%attributed speech175writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageLos Angeles County Medical Examiner • 30 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageLAPD • 31 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageLAPD • 14 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageBoni Dizon • 23 words • 0.0% coverageBoni Dizon • 20 words • 0.0% coverageBoni Dizon • 23 words • 0.0% coverageBoni Dizon • 14 words • 0.0% coverageUndreal Turner • 9 words • 0.0% coverageUndreal Turner • 16 words • 0.0% coverageUndreal Turner • 6 words • 0.0% coverageUndreal Turner • 6 words • 0.0% coverageUndreal Turner • 26 words • 100.0% coverageUndreal Turner • 5 words • 100.0% coverageUndreal Turner • 5 words • 100.0% coverageUndreal Turner • 5 words • 100.0% coverage
Selected voice

Undreal Turner

100%flagged-word coverage
78 attributed words33% of attributed speech74% writer coverage
0%27.5%55.0%Indoctrination+52.6 ptsWriter: 0.0%Undreal Turner: 52.6%52.6%Biased Writer Voice-19.4 ptsWriter: 19.4%Undreal Turner: 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.