KQED61%

Santa Clara Resident Infected With Measles Traveled Through SFO, Health Officials Say 10%

By Samantha Kennedy26%

6/14/2026, 10:30:20 PM

BS Summary: This article contains 20 faulty reasoning types, including Indoctrination, Framing Effect, and Appeal to Emotion, with Ambiguity (Equivocation) as the most egregious example at 18.1% saturation with 97 hits. Analysis detected 647 faulty-reasoning hits from 535 analyzed words, generating a BS Score of 27.1% and a BS Rank of 10% (19,707 of 21,886 articles). This article is better (less manipulative) than 90.00% of the article peer group.

A Santa Clara County resident infected with measles may have exposed others while contagious on Monday, Santa Clara County public health officials said. 
Health officials say the resident was likely exposed during international travel. 
On June 8, they traveled through the San Francisco International Airport terminal between 8:30 a.m. and 11 a.m. 
Between 8 p.m. and 10 p.m. that same day, the resident visited Trader Joe’s at 635 Coleman Ave. and the International Halal Market on 960 E Santa Clara St. in San Jose. 
Individuals who traveled to the locations at the same time could be at risk of developing the disease between seven and 10 days after exposure, county public health officials warned. 
“Because of our very high vaccination rates and folks who had measles decades ago before there was a vaccine, we are very well protected as a community here in the Bay Area,” Dr. 
Sarah Rudman, the county’s public health officer, said. 
The possible exposure comes as the county hosts thousands of soccer fans for the World Cup tournament, which kicked off locally on Saturday. 
As of Sunday afternoon, the state Department of Public Health dashboard reported 49 confirmed measles cases, though that number doesn’t appear to include Santa Clara’s latest case. 
The number of state-confirmed cases has sat steady since at least mid-May. 
If confirmed by CDPH, Santa Clara’s case would be the 50th this year. 
State health officials reported half that  25 confirmed cases  across the state last year. 
“This is becoming more and more common,” Rudman said in a media availability on Saturday. 
“A year ago, I would have said this is incredibly rare. 
And now this is already our second case of the year.” 
In February, the county reported its first measles case of the year when a vaccinated resident returned from international travel. 
Before 2025, the county hadn’t recorded a measles case since 2019. 
The U.S. recorded its highest number of cases in 2025, 25 years after the disease was declared eliminated. 
California’s numbers also rose last year, state data shows. 
Since 2023, measles cases have increased every year. 
The last time cases surpassed current 2026 numbers was in 2019, when 72 cases were reported. 
Rudman said that the county is working with federal and state officials from the Centers for Disease Control and Prevention and the state Department of Public Health to identify any people who may have been exposed. 
Measles symptoms include a runny nose, fever, cough and rash, according to the CDC. 
The first symptoms can appear up to two weeks after infection. 
Children, pregnant women and people with weakened immune systems are more likely to experience complications because of the disease. 
Santa Clara health officials said that people should monitor for symptoms for 21 days after the potential exposure and not attend large gatherings. 
“Given the number of large international events currently happening throughout the Bay Area, it is especially important that any unvaccinated, exposed individual quarantines to the best of their ability and avoids contact with others if feeling unwell,” the Department said in a statement. 
If symptoms do appear, health officials advise contacting your doctor right away. 
Article reasoning-pattern comparisonThis article: 1.5%Samantha Kennedy: 1.1%CalMatters: 1.9%Confirmation Bias1.5%This article: 0.0%Samantha Kennedy: 1.3%CalMatters: 0.9%Anchoring Bias0.0%This article: 6.0%Samantha Kennedy: 2.7%CalMatters: 3.0%Availability Heuristic6.0%This article: 0.0%Samantha Kennedy: 0.9%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 2.1%Samantha Kennedy: 0.3%CalMatters: 0.5%Hindsight Bias2.1%This article: 0.0%Samantha Kennedy: 1.1%CalMatters: 1.2%Overconfidence Bias0.0%This article: 10.3%Samantha Kennedy: 4.3%CalMatters: 6.3%Framing Effect10.3%This article: 2.2%Samantha Kennedy: 0.6%CalMatters: 1.0%Loss Aversion2.2%This article: 2.2%Samantha Kennedy: 0.9%CalMatters: 0.7%Status Quo Bias2.2%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Samantha Kennedy: 4.2%CalMatters: 3.5%Optimism Bias0.0%This article: 0.0%Samantha Kennedy: 1.3%CalMatters: 1.4%Pessimism Bias0.0%This article: 3.4%Samantha Kennedy: 6.7%CalMatters: 6.4%Negativity Bias3.4%This article: 0.0%Samantha Kennedy: 1.2%CalMatters: 1.7%Self-Serving Bias0.0%This article: 0.0%Samantha Kennedy: 0.7%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Samantha Kennedy: 0.2%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Samantha Kennedy: 2.4%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Samantha Kennedy: 0.4%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 6.2%Samantha Kennedy: 1.0%CalMatters: 2.7%Halo Effect6.2%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 6.9%Samantha Kennedy: 1.3%CalMatters: 0.9%Recency Bias6.9%This article: 0.0%Samantha Kennedy: 0.2%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Samantha Kennedy: 0.6%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.2%Straw Man0.0%This article: 2.6%Samantha Kennedy: 2.5%CalMatters: 3.1%Appeal to Authority2.6%This article: 0.0%Samantha Kennedy: 0.9%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%Samantha Kennedy: 1.3%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Samantha Kennedy: 0.2%CalMatters: 0.1%Circular Reasoning0.0%This article: 4.9%Samantha Kennedy: 3.5%CalMatters: 3.6%Hasty Generalization4.9%This article: 4.3%Samantha Kennedy: 0.2%CalMatters: 0.2%Red Herring4.3%This article: 0.0%Samantha Kennedy: 0.6%CalMatters: 0.7%Bandwagon0.0%This article: 8.0%Samantha Kennedy: 4.7%CalMatters: 5.3%Appeal to Emotion8.0%This article: 0.0%Samantha Kennedy: 0.5%CalMatters: 0.6%Begging the Question0.0%This article: 0.0%Samantha Kennedy: 2.5%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Samantha Kennedy: 0.1%CalMatters: 0.1%Tu Quoque0.0%This article: 5.6%Samantha Kennedy: 0.6%CalMatters: 0.3%Burden of Proof5.6%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 6.2%Samantha Kennedy: 0.7%CalMatters: 0.2%Composition/Division6.2%This article: 0.0%Samantha Kennedy: 2.4%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 18.1%Samantha Kennedy: 1.5%CalMatters: 1.2%Ambiguity (Equivocation)18.1%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Samantha Kennedy: 0.1%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Samantha Kennedy: 0.1%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Samantha Kennedy: 0.3%CalMatters: 0.1%Genetic Fallacy0.0%This article: 6.2%Samantha Kennedy: 1.1%CalMatters: 0.8%Unattributed Quote6.2%This article: 7.7%Samantha Kennedy: 1.1%CalMatters: 0.7%Quote-first Misdirection7.7%This article: 2.1%Samantha Kennedy: 1.7%CalMatters: 3.1%Biased Writer Voice2.1%This article: 14.6%Samantha Kennedy: 2.3%CalMatters: 1.9%Indoctrination14.6%This article: 0.0%Samantha Kennedy: 1.4%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Samantha Kennedy: 0.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Samantha Kennedy: 0.2%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

535 words analyzed.

Speakers

2speakers23%attributed speech411writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageSarah Rudman • 8 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageSarah Rudman • 15 words • 0.0% coverageSarah Rudman • 11 words • 100.0% coverageSarah Rudman • 11 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageSarah Rudman • 36 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageDepartment • 43 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverage
Selected voice

Department

100%flagged-word coverage
43 attributed words35% of attributed speech71% writer coverage
0%50.0%100.0%Indoctrination+91.5 ptsWriter: 8.5%Department: 100.0%100.0%Unattributed Quote-8.0 ptsWriter: 8.0%Department: 0.0%0.0%Quote-first Misdirection-8.0 ptsWriter: 8.0%Department: 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.