KTVU27%

Sideshow leaves Vallejo neighbors frustrated over safety concerns 66%

8/3/2026, 5:37:56 AM

BS Summary: This article contains 19 faulty reasoning types, including Appeal to Emotion, Pessimism Bias, and Recency Bias, with Negativity Bias as the most egregious example at 49.9% saturation with 207 hits. Analysis detected 902 faulty-reasoning hits from 415 analyzed words, generating a BS Score of 52% and a BS Rank of 66% (10,046 of 29,238 articles). This article is worse (more manipulative) than 65.60% of the article peer group.

Residents in one Vallejo neighborhood say they're fed up with recurring illegal sideshows that they say bring dangerous driving, property damage and sleepless nights. 
The latest sideshow happened around 2 a.m. 
Sunday near Columbus Parkway and Georgia Street, where neighbors say hundreds of people gathered to watch drivers perform stunts. 
Authorities attempted to break up the gathering, and someone threw a firework near a patrol car during the response. 
The CHP later appeared to pursue a vehicle leaving the area. 
Residents say the neighborhood has become a frequent target because of its proximity to nearby freeways, making it easier for participants to quickly disperse. 
Residents describe repeated damage 
Laquisha Knapps said people trampled her yard, ignored repeated demands to leave and climbed onto the roof of her home. 
"You're very disrespectful, and I desire you find a different place to have your activities. 
You're disturbing the peace, you're disturbing the neighborhood, my sleep," said Knapps. 
The next morning, she said she found graffiti outside her home. 
She also said people climbed onto her roof again, which she had recently repaired after previous damage. 
"I'm fed up. 
I just want it to stop. 
Find a different location. 
There's plenty of empty parking lots that you guys can do and tear up the street, but why? 
There's so many people that live in this community. 
We work hard for our money," said Knapps. 
Nicole Natividad said the gatherings leave neighbors fearing what could happen next. 
She called 911 after the disturbance woke her and her family. 
"We're scared because what if these people come into our houses or something, or what if they're shooting their guns, or what if a car crashes into someone's house? 
Like we fear that every single time," said Natividad. 
Kay Whitecotton said police eventually arrive, but often after much of the activity has already occurred. 
"They just destroy things. 
They don't last that long, and the police show up, but after, just at the end because there's no way, I guess, that the police can block them in and stop them," said Whitecotton. 
Knapps said the activity goes beyond loud engines and fireworks. 
"They shoot, gunshots. 
It's not just fireworks. 
There's gunshots as well. 
Mind you, my daughter stays here with me as well. 
I feel very unsafe," said Knapps. 
KTVU reached out multiple times to both the Vallejo Police Department and the California Highway Patrol for comment but have not yet heard back. 
Article reasoning-pattern comparisonThis article: 5.8%KTVU: 1.8%Confirmation Bias5.8%This article: 0.0%KTVU: 0.6%Anchoring Bias0.0%This article: 12.8%KTVU: 2.4%Availability Heuristic12.8%This article: 0.0%KTVU: 0.4%Representativeness Heuristic0.0%This article: 0.0%KTVU: 0.2%Hindsight Bias0.0%This article: 0.0%KTVU: 1.0%Overconfidence Bias0.0%This article: 0.0%KTVU: 3.3%Framing Effect0.0%This article: 1.9%KTVU: 1.1%Loss Aversion1.9%This article: 4.3%KTVU: 0.6%Status Quo Bias4.3%This article: 0.0%KTVU: 0.1%Sunk Cost Effect0.0%This article: 0.0%KTVU: 3.4%Optimism Bias0.0%This article: 15.9%KTVU: 1.3%Pessimism Bias15.9%This article: 49.9%KTVU: 4.9%Negativity Bias49.9%This article: 0.0%KTVU: 1.8%Self-Serving Bias0.0%This article: 14.0%KTVU: 0.5%Fundamental Attribution Error14.0%This article: 0.0%KTVU: 0.2%Actor-Observer Bias0.0%This article: 2.2%KTVU: 1.0%In-Group Bias2.2%This article: 0.0%KTVU: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%KTVU: 1.9%Halo Effect0.0%This article: 0.0%KTVU: 0.0%Horn Effect0.0%This article: 0.0%KTVU: 0.0%Dunning-Kruger Effect0.0%This article: 15.2%KTVU: 0.9%Recency Bias15.2%This article: 1.0%KTVU: 0.2%Primacy Effect1.0%This article: 0.0%KTVU: 0.0%Blind-Spot Bias0.0%This article: 0.0%KTVU: 0.1%Ad Hominem0.0%This article: 0.0%KTVU: 0.1%Straw Man0.0%This article: 8.2%KTVU: 2.4%Appeal to Authority8.2%This article: 5.3%KTVU: 0.6%False Dilemma5.3%This article: 0.0%KTVU: 0.2%Slippery Slope0.0%This article: 0.0%KTVU: 0.0%Circular Reasoning0.0%This article: 13.7%KTVU: 2.2%Hasty Generalization13.7%This article: 0.0%KTVU: 0.1%Red Herring0.0%This article: 0.0%KTVU: 0.2%Bandwagon0.0%This article: 22.9%KTVU: 4.7%Appeal to Emotion22.9%This article: 0.0%KTVU: 0.3%Begging the Question0.0%This article: 0.0%KTVU: 1.7%Post Hoc (False Cause)0.0%This article: 0.0%KTVU: 0.0%Tu Quoque0.0%This article: 5.8%KTVU: 0.3%Burden of Proof5.8%This article: 0.0%KTVU: 0.0%Appeal to Nature0.0%This article: 0.0%KTVU: 0.0%Composition/Division0.0%This article: 14.2%KTVU: 2.6%Anecdotal14.2%This article: 0.0%KTVU: 0.1%No True Scotsman0.0%This article: 8.2%KTVU: 1.0%Ambiguity (Equivocation)8.2%This article: 0.0%KTVU: 0.0%Gambler’s Fallacy0.0%This article: 0.0%KTVU: 0.1%Middle Ground0.0%This article: 0.0%KTVU: 0.0%Personal Incredulity0.0%This article: 0.0%KTVU: 0.2%Special Pleading0.0%This article: 0.0%KTVU: 0.1%Genetic Fallacy0.0%This article: 9.4%KTVU: 1.5%Unattributed Quote9.4%This article: 0.0%KTVU: 0.7%Quote-first Misdirection0.0%This article: 6.7%KTVU: 1.8%Biased Writer Voice6.7%This article: 0.0%KTVU: 1.5%Indoctrination0.0%This article: 0.0%KTVU: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%KTVU: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%KTVU: 0.4%Attempt to Sell a Product or S…0.0%

415 words analyzed.

Speakers

3speakers66%attributed speech140writer words
Selected voice

Nicole Natividad

82%flagged-word coverage
61 attributed words22% of attributed speech87% writer coverage
0%10.0%20.0%Unattributed Quote-17.1 ptsWriter: 17.1%Nicole Natividad: 0.0%0.0%Biased Writer Voice-5.7 ptsWriter: 5.7%Nicole Natividad: 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.