16-year-old Las Vegas boy arrested in fatal shooting near Santa Monica Pier 7%

By Caitlin Lilly5%

7/24/2026, 12:48:37 PM

BS Summary: This article contains 10 faulty reasoning types, including Framing Effect, Optimism Bias, and Biased Writer Voice, with Appeal to Emotion as the most egregious example at 29.2% saturation with 75 hits. Analysis detected 252 faulty-reasoning hits from 257 analyzed words, generating a BS Score of 23.5% and a BS Rank of 7% (20,391 of 21,887 articles). This article is better (less manipulative) than 93.20% of the article peer group.

A 16-year-old Las Vegas boy has been arrested in connection with a fatal shooting near the Santa Monica Pier in Southern California, police said. 
The Santa Monica Police Department said in a Facebook post that officers responded at about 12:32 a.m. 
July 20 to a report of a possible shooting in Parking Lot 1 North at 1550 Pacific Coast Highway. 
The incident occurred near the Santa Monica Pier, according to the Los Angeles Times. 
Arriving officers found an adult man suffering from multiple gunshot wounds. 
He was pronounced dead at the scene, police said. 
The preliminary investigation indicates a physical altercation occurred between two groups before the shooting. 
Detectives later identified a 16-year-old from Las Vegas as the suspect. 
The juvenile surrendered to Santa Monica Police Department detectives on July 21 and was taken into custody in connection with the homicide investigation, police said. 
Due to the suspect’s age, no additional identifying information will be released, the department noted. 
“Violence of any kind has no place in our community,” said Santa Monica Police Chief Darrick Jacob. 
“While nothing can replace the life that was lost, the swift and focused work of our detectives resulted in the suspect being safely taken into custody. 
This is an important step, but our work is not finished. 
Our beachfront is one of Santa Monica’s most heavily visited public spaces, and we remain committed to keeping it safe for residents, visitors, businesses, and everyone who comes to enjoy our community.” 
Article reasoning-pattern comparisonThis article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 3.9%Confirmation Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.1%Anchoring Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 2.9%Availability Heuristic0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.1%Representativeness Heuristic0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.5%Hindsight Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.7%Overconfidence Bias0.0%This article: 17.1%Caitlin Lilly: 6.4%Las Vegas Review-Journal: 5.3%Framing Effect17.1%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.8%Loss Aversion0.0%This article: 5.8%Caitlin Lilly: 1.5%Las Vegas Review-Journal: 1.3%Status Quo Bias5.8%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.2%Sunk Cost Effect0.0%This article: 10.1%Caitlin Lilly: 2.6%Las Vegas Review-Journal: 2.1%Optimism Bias10.1%This article: 4.3%Caitlin Lilly: 1.1%Las Vegas Review-Journal: 1.7%Pessimism Bias4.3%This article: 6.6%Caitlin Lilly: 1.7%Las Vegas Review-Journal: 8.6%Negativity Bias6.6%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 2.9%Self-Serving Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.2%Fundamental Attribution Error0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Actor-Observer Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.0%In-Group Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 2.1%Halo Effect0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.0%Horn Effect0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.1%Recency Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.2%Primacy Effect0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Blind-Spot Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.2%Ad Hominem0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.3%Straw Man0.0%This article: 6.6%Caitlin Lilly: 2.9%Las Vegas Review-Journal: 4.6%Appeal to Authority6.6%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.3%False Dilemma0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.0%Slippery Slope0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.2%Circular Reasoning0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 3.7%Hasty Generalization0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Red Herring0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.6%Bandwagon0.0%This article: 29.2%Caitlin Lilly: 12.4%Las Vegas Review-Journal: 6.2%Appeal to Emotion29.2%This article: 0.0%Caitlin Lilly: 2.0%Las Vegas Review-Journal: 1.7%Begging the Question0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.8%Post Hoc (False Cause)0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Tu Quoque0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.2%Burden of Proof0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Appeal to Nature0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Composition/Division0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 2.2%Anecdotal0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%No True Scotsman0.0%This article: 4.3%Caitlin Lilly: 1.1%Las Vegas Review-Journal: 2.0%Ambiguity (Equivocation)4.3%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Middle Ground0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.0%Personal Incredulity0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.1%Special Pleading0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.2%Genetic Fallacy0.0%This article: 6.6%Caitlin Lilly: 2.9%Las Vegas Review-Journal: 1.6%Unattributed Quote6.6%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.0%Quote-first Misdirection0.0%This article: 7.4%Caitlin Lilly: 1.9%Las Vegas Review-Journal: 2.9%Biased Writer Voice7.4%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 1.3%Indoctrination0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%Caitlin Lilly: 0.0%Las Vegas Review-Journal: 0.9%Attempt to Sell a Product or S…0.0%

257 words analyzed.

Speakers

3speakers61%attributed speech100writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageSanta Monica Police Department • 17 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageLos Angeles Times • 14 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageSanta Monica Police Department • 25 words • 0.0% coverageSanta Monica Police Department • 15 words • 0.0% coverageDarrick Jacob • 17 words • 100.0% coverageDarrick Jacob • 26 words • 0.0% coverageDarrick Jacob • 11 words • 0.0% coverageDarrick Jacob • 32 words • 0.0% coverage
Selected voice

Darrick Jacob

100%flagged-word coverage
86 attributed words55% of attributed speech31% writer coverage
0%10.0%20.0%Unattributed Quote+19.8 ptsWriter: 0.0%Darrick Jacob: 19.8%19.8%Biased Writer Voice-19.0 ptsWriter: 19.0%Darrick Jacob: 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.