ABC News22%

Police detain 2 teens after a joy ride in a Waymo in Northern California - ABC News 17%

By ABC News15% JAIMIE DING Associated Press0%

7/8/2026, 5:40:04 PM

BS Summary: This article contains 18 faulty reasoning types, including Negativity Bias, Availability Heuristic, and Framing Effect, with Unattributed Quote as the most egregious example at 38.6% saturation with 178 hits. Analysis detected 924 faulty-reasoning hits from 461 analyzed words, generating a BS Score of 32.3% and a BS Rank of 17% (18,332 of 21,887 articles). This article is better (less manipulative) than 83.80% of the article peer group.

Police detain 2 teens after a joy ride in a Waymo in Northern California 
Police have detained two 15-year-olds who they say were drinking and shooting water beads while riding a self-driving Waymo around town 
By JAIMIE DING Associated Press 
July 8, 2026, 8:40 PM 
LOS ANGELES -- Police detained two 15-year-olds who they say were drinking and shooting water beads while riding in a self-driving Waymo after the company alerted law enforcement in Northern California and remotely forced the vehicle into a parking lot, officials said. 
San Mateo police officers stopped and searched the vehicle Monday afternoon after a Waymo representative contacted them, department spokesperson Jeanine Luna said. 
Photos from a bystander shared with a local TV station showed the teens hanging out of the Waymo’s windows. 
Police say they determined they were drinking in the car and shooting Orbeez, which are soft, water-absorbent polymer beads, out into the streets. 
Waymo pulled the vehicle over into a parking lot and let officers know they were doing so. 
“The occupants were not locked in and had every ability to exit the vehicle,” Luna said in an email. 
Officers were able to communicate with a Waymo representative through the vehicle's communication system during the stop, Luna said. 
The San Mateo Police Department posted about the incident on social media and warned people about underage drinking and the danger of water bead guns. 
The post garnered more than 150 comments, with some expressing concern about surveillance and whether it was acceptable for Waymo to deliver the teens to the police. 
Waymo did not respond to emailed questions about how the company was alerted to the teens' behavior and if the teens were informed the car was being pulled over. 
According to a support page online, cameras inside Waymos are used to make sure cars are clean, find lost items, and provide help in case of emergency. 
Facial recognition is not used to identify individuals, it said. 
“Our Support team may review video under certain circumstances, including after an issue is brought to our attention,” the page said. 
“Occasionally, in more urgent circumstances, Support may access live video during a trip.” 
A Waymo vehicle had another run-in with the law last month in San Francisco, where a burglar broke into a yoga studio and stole activewear before making his getaway in the autonomous vehicle. 
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Article reasoning-pattern comparisonThis article: 4.6%ABC News: 1.5%ABC News: 2.2%Confirmation Bias4.6%This article: 0.0%ABC News: 0.7%ABC News: 0.7%Anchoring Bias0.0%This article: 19.7%ABC News: 2.8%ABC News: 3.0%Availability Heuristic19.7%This article: 0.0%ABC News: 0.6%ABC News: 0.9%Representativeness Heuristic0.0%This article: 0.0%ABC News: 0.4%ABC News: 0.5%Hindsight Bias0.0%This article: 0.0%ABC News: 0.9%ABC News: 1.1%Overconfidence Bias0.0%This article: 18.0%ABC News: 4.7%ABC News: 6.8%Framing Effect18.0%This article: 0.0%ABC News: 0.1%ABC News: 0.3%Loss Aversion0.0%This article: 0.0%ABC News: 0.3%ABC News: 0.4%Status Quo Bias0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Sunk Cost Effect0.0%This article: 8.5%ABC News: 1.3%ABC News: 2.4%Optimism Bias8.5%This article: 9.1%ABC News: 1.1%ABC News: 1.0%Pessimism Bias9.1%This article: 22.1%ABC News: 6.8%ABC News: 7.7%Negativity Bias22.1%This article: 4.1%ABC News: 1.1%ABC News: 1.5%Self-Serving Bias4.1%This article: 0.0%ABC News: 0.3%ABC News: 0.7%Fundamental Attribution Error0.0%This article: 0.0%ABC News: 0.1%ABC News: 0.1%Actor-Observer Bias0.0%This article: 0.0%ABC News: 0.3%ABC News: 0.8%In-Group Bias0.0%This article: 0.0%ABC News: 0.3%ABC News: 0.4%Out-Group Homogeneity Bias0.0%This article: 3.7%ABC News: 1.3%ABC News: 2.2%Halo Effect3.7%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Horn Effect0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.0%Dunning-Kruger Effect0.0%This article: 7.2%ABC News: 1.2%ABC News: 1.3%Recency Bias7.2%This article: 0.0%ABC News: 0.3%ABC News: 0.4%Primacy Effect0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Blind-Spot Bias0.0%This article: 0.0%ABC News: 0.2%ABC News: 0.5%Ad Hominem0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Straw Man0.0%This article: 14.8%ABC News: 2.8%ABC News: 3.3%Appeal to Authority14.8%This article: 0.0%ABC News: 0.2%ABC News: 0.9%False Dilemma0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.3%Slippery Slope0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Circular Reasoning0.0%This article: 11.7%ABC News: 2.1%ABC News: 2.8%Hasty Generalization11.7%This article: 7.2%ABC News: 0.5%ABC News: 0.4%Red Herring7.2%This article: 5.9%ABC News: 0.5%ABC News: 0.4%Bandwagon5.9%This article: 3.9%ABC News: 2.0%ABC News: 4.3%Appeal to Emotion3.9%This article: 0.0%ABC News: 0.3%ABC News: 0.7%Begging the Question0.0%This article: 0.0%ABC News: 1.9%ABC News: 2.1%Post Hoc (False Cause)0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.0%Tu Quoque0.0%This article: 0.0%ABC News: 0.3%ABC News: 0.4%Burden of Proof0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Appeal to Nature0.0%This article: 0.0%ABC News: 0.1%ABC News: 0.2%Composition/Division0.0%This article: 0.0%ABC News: 0.7%ABC News: 1.2%Anecdotal0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.1%No True Scotsman0.0%This article: 12.4%ABC News: 2.1%ABC News: 1.8%Ambiguity (Equivocation)12.4%This article: 0.0%ABC News: 0.0%ABC News: 0.0%Gambler’s Fallacy0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.0%Middle Ground0.0%This article: 0.0%ABC News: 0.0%ABC News: 0.0%Personal Incredulity0.0%This article: 6.3%ABC News: 0.1%ABC News: 0.2%Special Pleading6.3%This article: 0.0%ABC News: 0.0%ABC News: 0.1%Genetic Fallacy0.0%This article: 38.6%ABC News: 2.7%ABC News: 1.9%Unattributed Quote38.6%This article: 0.0%ABC News: 0.9%ABC News: 1.0%Quote-first Misdirection0.0%This article: 0.0%ABC News: 2.2%ABC News: 3.1%Biased Writer Voice0.0%This article: 0.0%ABC News: 0.7%ABC News: 0.6%Indoctrination0.0%This article: 0.0%ABC News: 0.4%ABC News: 0.7%Politically Left Leaning Bias0.0%This article: 0.0%ABC News: 0.2%ABC News: 0.2%Politically Right Leaning Bias0.0%This article: 2.8%ABC News: 1.5%ABC News: 1.0%Attempt to Sell a Product or S…2.8%

461 words analyzed.

Speakers

3speakers20%attributed speech371writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 17 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageJAIMIE DING • 5 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 42 words • 100.0% coverageJeanine Luna • 22 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageJeanine Luna • 19 words • 100.0% coverageJeanine Luna • 19 words • 0.0% coverageSan Mateo Police Department • 25 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverage
Selected voice

Jeanine Luna

100%flagged-word coverage
60 attributed words67% of attributed speech99% writer coverage
0%22.5%45.0%Unattributed Quote-11.2 ptsWriter: 42.9%Jeanine Luna: 31.7%31.7%Attempt to Sell a Product -2.2 ptsWriter: 2.2%Jeanine Luna: 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.