California News ⁠11%

7/1/2026, 6:02:47 AM

Keywords: California

BS Summary: This article contains 17 faulty reasoning types, including Hasty Generalization, Appeal to Emotion, and Ambiguity (Equivocation), with Negativity Bias as the most egregious example at 27.2% saturation with 185 hits. Analysis detected 804 faulty-reasoning hits from 681 analyzed words, generating a BS Score of 27.2% and a BS Rank of ⁠11% (19,668 of 21,887 articles). This article is better (less manipulative) than 89.90% of the article peer group.

California Hopes to Speed Up Election Results With $40 Million Infusion 
It took six days to determine the outcome of the primary for Los Angeles mayor, and seven for the governor’s race. 
By Laurel Rosenhall 
Sex Abuse Survivors Reach $395 Million Deal With San Francisco Diocese 
The Archdiocese of San Francisco and lawyers for the survivors said the settlement, which needs final approval, would resolve about 530 claims from people who said they were sexually abused by clergy members. 
By Soumya Karlamangla 
In San Francisco, Even $180,000 Tech Salaries Are No Longer Enough 
As OpenAI and Anthropic prepare to go public, tech workers making six figures are grousing that they cannot compete with the new A.I. elite. 
Some doubt they can afford to stay. 
By Emmy Martin 
How Grindr’s C.E.O. 
Adopted A.I.: ‘I Just Imposed It’ 
George Arison, the gay dating app’s chief executive, is aiming for all code to be eventually written by artificial intelligence, making the company “leaner.” 
By Jordyn Holman 
Daveigh Chase, ‘Lilo & Stitch’ Voice Actor, Died of AIDS, Officials Say 
Ms. 
Chase was the voice of Lilo and also played the child villain in the horror film “The Ring.” 
She died in Los Angeles this month. 
By Matt Stevens 
Director Who Defrauded Netflix Gets 30-Month Prison Term 
Carl Rinsch was convicted last year of stealing $11 million from the streamer, which funded a science fiction series he had pitched. 
By John Carreyrou 
We’re Only Starting to Grasp the Pitfalls of Using A.I. at Work 
Scholars say the “unknown unknowns” of using artificial intelligence in the workplace may be undermining the technology’s advertised benefits. 
By Noam Scheiber 
No Doilies Here: In the Age of Airbnb, Bed-and-Breakfasts Are Coming Into Their Own 
Traditional bed-and-breakfast inns are doubling down on unique décor, personalized service and flexible policies, as they seek to distinguish themselves from vacation rentals. 
By Elaine Glusac 
What I’m Hearing About the Dodgers’ Early Trade Deadline Plans, Future Outfield 
The Dodgers want to improve the depth of their minor-league system and are prepared to part with at least one of their top outfield prospects not named Josue De Paula to do so. 
Un juez federal prohíbe las detenciones de ICE en los juzgados de inmigración 
El fallo pone fin a uno de los aspectos más agresivos de la campaña de deportaciones masivas del presidente Trump y es válido en todo el país. 
By Jazmine Ulloa and Luis Ferré-Sadurní 
Muere Daveigh Chase, actriz infantil de ‘Lilo y Stitch’ y ‘El aro’, a los 35 años 
Dio vida a la valiente Lilo en la popular saga de películas animadas y puso los pelos de punta al público interpretando a la pequeña villana Samara en la película de terror ‘El aro’. 
By John S.W. 
MacDonald 
Así es la complicada situación de la selección de Irán en el Mundial 
En su primer partido en Los Ángeles, la selección iraní atrajo a espectadores que no habían ido a ver fútbol, sino a protestar contra el régimen de Teherán. 
By Tariq Panja 
¿Cómo se aplican las normas de desnudez de Instagram? 
La única constante en las normas sobre la publicación de desnudos en la plataforma de redes sociales parece ser su inconsistencia a la hora de aplicarlas. 
By Jacob Bernstein 
En el sindicato de Cesar Chavez, las mujeres solían trabajar con miedo 
Muchas de las mujeres que ayudaron a liderar la lucha por los derechos civiles de los latinos dicen que, en silencio, libraban sus propias batallas contra el acoso, la misoginia y las agresiones sexuales dentro de la poderosa Unión de Campesinos. 
By Sarah Hurtes and Manny Fernandez 
Is China Closing the A.I. 
Gap Faster Than Expected? 
Silicon Valley and corporate America are increasingly turning to cheaper, open-source artificial intelligence models built in China. 
By Andrew Ross Sorkin, Bernhard Warner, Sarah Kessler, Michael J. de la Merced, Niko Gallogly, Brian O’Keefe and Ian Mount 
California’s Governor Signs A.I. 
Order Aimed at Protecting Workers 
Gov. 
Gavin Newsom issued an executive order to explore an overhaul of labor policies to deal with potential mass job displacement from artificial intelligence. 
By Cecilia Kang 
Article reasoning-pattern comparisonThis article: 0.0%The New York Times: 1.7%Confirmation Bias0.0%This article: 0.0%The New York Times: 0.4%Anchoring Bias0.0%This article: 5.3%The New York Times: 2.1%Availability Heuristic5.3%This article: 2.5%The New York Times: 0.6%Representativeness Heuristic2.5%This article: 0.0%The New York Times: 0.6%Hindsight Bias0.0%This article: 0.0%The New York Times: 2.4%Overconfidence Bias0.0%This article: 0.0%The New York Times: 5.8%Framing Effect0.0%This article: 0.0%The New York Times: 0.6%Loss Aversion0.0%This article: 2.1%The New York Times: 0.4%Status Quo Bias2.1%This article: 0.0%The New York Times: 0.1%Sunk Cost Effect0.0%This article: 3.5%The New York Times: 2.7%Optimism Bias3.5%This article: 2.3%The New York Times: 3.5%Pessimism Bias2.3%This article: 27.2%The New York Times: 9.4%Negativity Bias27.2%This article: 0.0%The New York Times: 1.3%Self-Serving Bias0.0%This article: 0.0%The New York Times: 0.9%Fundamental Attribution Error0.0%This article: 0.0%The New York Times: 0.2%Actor-Observer Bias0.0%This article: 0.0%The New York Times: 1.1%In-Group Bias0.0%This article: 4.1%The New York Times: 0.6%Out-Group Homogeneity Bias4.1%This article: 5.0%The New York Times: 0.9%Halo Effect5.0%This article: 0.0%The New York Times: 0.1%Horn Effect0.0%This article: 0.0%The New York Times: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%The New York Times: 1.1%Recency Bias0.0%This article: 0.0%The New York Times: 0.2%Primacy Effect0.0%This article: 0.0%The New York Times: 0.1%Blind-Spot Bias0.0%This article: 0.0%The New York Times: 0.8%Ad Hominem0.0%This article: 0.0%The New York Times: 0.1%Straw Man0.0%This article: 2.8%The New York Times: 4.0%Appeal to Authority2.8%This article: 2.1%The New York Times: 1.2%False Dilemma2.1%This article: 0.0%The New York Times: 0.8%Slippery Slope0.0%This article: 0.0%The New York Times: 0.1%Circular Reasoning0.0%This article: 23.2%The New York Times: 2.7%Hasty Generalization23.2%This article: 0.0%The New York Times: 0.1%Red Herring0.0%This article: 0.0%The New York Times: 0.2%Bandwagon0.0%This article: 19.1%The New York Times: 3.4%Appeal to Emotion19.1%This article: 0.7%The New York Times: 0.4%Begging the Question0.7%This article: 0.0%The New York Times: 2.4%Post Hoc (False Cause)0.0%This article: 0.0%The New York Times: 0.1%Tu Quoque0.0%This article: 0.0%The New York Times: 0.3%Burden of Proof0.0%This article: 0.0%The New York Times: 0.1%Appeal to Nature0.0%This article: 0.0%The New York Times: 0.2%Composition/Division0.0%This article: 2.6%The New York Times: 1.0%Anecdotal2.6%This article: 0.0%The New York Times: 0.1%No True Scotsman0.0%This article: 7.3%The New York Times: 1.8%Ambiguity (Equivocation)7.3%This article: 0.0%The New York Times: 0.0%Gambler’s Fallacy0.0%This article: 0.0%The New York Times: 0.1%Middle Ground0.0%This article: 0.0%The New York Times: 0.0%Personal Incredulity0.0%This article: 0.0%The New York Times: 0.0%Special Pleading0.0%This article: 0.0%The New York Times: 0.1%Genetic Fallacy0.0%This article: 6.9%The New York Times: 2.1%Unattributed Quote6.9%This article: 1.3%The New York Times: 1.0%Quote-first Misdirection1.3%This article: 0.0%The New York Times: 3.8%Biased Writer Voice0.0%This article: 0.0%The New York Times: 0.5%Indoctrination0.0%This article: 0.0%The New York Times: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%The New York Times: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%The New York Times: 0.6%Attempt to Sell a Product or S…0.0%

681 words analyzed.

Speakers

16speakers17%attributed speech564writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 2 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageLaurel Rosenhall • 3 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageSoumya Karlamangla • 3 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageEmmy Martin • 3 words • 0.0% coverageWriter's voice • 3 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageGeorge Arison • 24 words • 0.0% coverageJordyn Holman • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageMatt Stevens • 3 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageJohn Carreyrou • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageNoam Scheiber • 3 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageElaine Glusac • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageLos Angeles Dodgers • 33 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageJohn S.W. • 3 words • 0.0% coverageJohn S.W. MacDonald • 1 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageTariq Panja • 3 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageJacob Bernstein • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 41 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageGavin Newsom • 23 words • 0.0% coverageCecilia Kang • 3 words • 0.0% coverage
Selected voice

George Arison

100%flagged-word coverage
24 attributed words21% of attributed speech63% writer coverage
0%5.0%10.0%Unattributed Quote-8.3 ptsWriter: 8.3%George Arison: 0.0%0.0%Quote-first Misdirection-1.6 ptsWriter: 1.6%George Arison: 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.