BS Summary: This article contains 7 faulty reasoning types, including Self-Serving Bias, Appeal to Authority, and Optimism Bias, with Post Hoc (False Cause) as the most egregious example at 20.9% saturation with 117 hits. Analysis detected 324 faulty-reasoning hits from 559 analyzed words, generating a BS Score of 25.8% and a BS Rank of 9% (19,976 of 21,887 articles). This article is better (less manipulative) than 91.30% of the article peer group.

Travel is down at Oakland airport 
Despite OAK changing its name to boost business, spiking jet fuel costs and higher ticket prices are dampening travel demand. 
Oakland changed its airport’s name last year to entice more people to use its services, but that hasn’t stopped passenger travel from declining. 
According to Oakland San Francisco Bay Airport spokesperson Kaley Skantz, the airport saw a 17% drop in passengers when comparing May 2025 to May 2026. 
Over the past 12 months, airport passenger traffic declined by a monthly average of 14.8%. 
According to airport data, there were a total of 693,356 passengers in May, down from 842,792 a year ago. 
Market analysts on Wall Street and international travel associations have noted that fuel prices have skyrocketed since the advent of the U.S.-Iran-Israel war earlier this year, with crude oil rising over 50% at times and jet fuel doubling to $197 a barrel. 
Southwest Airlines, one of the main carriers at the Oakland Airport, joined seven other airlines in raising prices in the last few months. 
Its CEO, Bob Jordan, said at an investor conference in May that the airline had not seen a slowdown in travel demand but that the fare increases it instituted would still cover increased fuel prices, squeezing their profit margin. 
Jordan also said that there had been seven consecutive fare increases by the industry since Feb. 
1. 
Alaska Air Group, which manages Alaska and Hawaiian airlines, two other major carriers at the Oakland airport, said recently that it also raised prices, including baggage fees. 
The CEO, Ben Minicucci, said it is likely fares will remain high even after oil prices fall. 
Volaris, the Mexican airline serving destinations in Mexico from Oakland, also announced in April that it had raised prices and that, during the last quarter for which data was available, the average cost of fuel for its airplanes increased 16%. 
Last month, the New York Times reported that domestic air fares in the U.S. had risen 35% overall this summer compared with last summer, and international fares had risen by about 15%. 
Skantz told The Oaklandside that the year-over-year decrease in passengers at the Oakland airport began in 2024. 
A recent study by Upgraded Points, a travel rewards news site, analyzed passenger throughput at U.S. airports overseen by the Transportation Security Administration and found a correlation with the drop in passengers reported at Oakland airport. 
They said that the “average daily TSA checkpoint throughput at San Francisco Bay Oakland International Airport (OAK) fell 13.0% between March and May 2026, compared to the same period in 2025.” 
The study found that the reduction reflected “widespread screening disruptions and staffing shortages across the aviation system” due in part to the lapse in Homeland Security funding because of the government shutdown. 
Skantz said the Oakland airport “did not see any significant impacts to operations as a result of the shutdown.” 
TSA checkpoint throughput is an incomplete metric, said Skantz, because it only accounts for departing or arriving passengers, not the many people who use the airport as a transfer hub to another destination without going through TSA screening. 
She stressed that the airport continues to add amenities to attract more flyers, including new restrooms, restaurants, and storefronts that highlight local businesses, such as a new Trader Vic’s expected to open later this year. 
Article reasoning-pattern comparisonThis article: 0.0%Jose Fermoso: 2.2%Berkeleyside: 2.1%Confirmation Bias0.0%This article: 0.0%Jose Fermoso: 0.7%Berkeleyside: 0.9%Anchoring Bias0.0%This article: 0.0%Jose Fermoso: 2.7%Berkeleyside: 2.3%Availability Heuristic0.0%This article: 0.0%Jose Fermoso: 0.6%Berkeleyside: 0.8%Representativeness Heuristic0.0%This article: 0.0%Jose Fermoso: 0.7%Berkeleyside: 0.4%Hindsight Bias0.0%This article: 3.0%Jose Fermoso: 0.1%Berkeleyside: 0.8%Overconfidence Bias3.0%This article: 3.6%Jose Fermoso: 5.0%Berkeleyside: 3.2%Framing Effect3.6%This article: 0.0%Jose Fermoso: 1.1%Berkeleyside: 0.4%Loss Aversion0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.5%Status Quo Bias0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.2%Sunk Cost Effect0.0%This article: 6.3%Jose Fermoso: 4.3%Berkeleyside: 3.4%Optimism Bias6.3%This article: 0.0%Jose Fermoso: 0.2%Berkeleyside: 0.6%Pessimism Bias0.0%This article: 0.0%Jose Fermoso: 6.3%Berkeleyside: 3.8%Negativity Bias0.0%This article: 10.4%Jose Fermoso: 1.2%Berkeleyside: 1.8%Self-Serving Bias10.4%This article: 0.0%Jose Fermoso: 0.6%Berkeleyside: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Jose Fermoso: 0.4%Berkeleyside: 0.2%Actor-Observer Bias0.0%This article: 0.0%Jose Fermoso: 2.0%Berkeleyside: 0.9%In-Group Bias0.0%This article: 0.0%Jose Fermoso: 0.3%Berkeleyside: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Jose Fermoso: 3.3%Berkeleyside: 3.6%Halo Effect0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.0%Horn Effect0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jose Fermoso: 0.7%Berkeleyside: 0.8%Recency Bias0.0%This article: 0.0%Jose Fermoso: 0.1%Berkeleyside: 0.3%Primacy Effect0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.0%Blind-Spot Bias0.0%This article: 0.0%Jose Fermoso: 0.2%Berkeleyside: 0.2%Ad Hominem0.0%This article: 0.0%Jose Fermoso: 0.2%Berkeleyside: 0.2%Straw Man0.0%This article: 7.5%Jose Fermoso: 3.8%Berkeleyside: 3.2%Appeal to Authority7.5%This article: 0.0%Jose Fermoso: 1.4%Berkeleyside: 0.7%False Dilemma0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.3%Slippery Slope0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.1%Circular Reasoning0.0%This article: 0.0%Jose Fermoso: 2.7%Berkeleyside: 2.3%Hasty Generalization0.0%This article: 0.0%Jose Fermoso: 0.2%Berkeleyside: 0.1%Red Herring0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.5%Bandwagon0.0%This article: 0.0%Jose Fermoso: 3.8%Berkeleyside: 3.3%Appeal to Emotion0.0%This article: 0.0%Jose Fermoso: 0.3%Berkeleyside: 0.5%Begging the Question0.0%This article: 20.9%Jose Fermoso: 4.0%Berkeleyside: 2.2%Post Hoc (False Cause)20.9%This article: 0.0%Jose Fermoso: 0.3%Berkeleyside: 0.1%Tu Quoque0.0%This article: 0.0%Jose Fermoso: 0.5%Berkeleyside: 0.4%Burden of Proof0.0%This article: 0.0%Jose Fermoso: 1.2%Berkeleyside: 0.2%Appeal to Nature0.0%This article: 0.0%Jose Fermoso: 0.2%Berkeleyside: 0.1%Composition/Division0.0%This article: 0.0%Jose Fermoso: 3.2%Berkeleyside: 3.0%Anecdotal0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.0%No True Scotsman0.0%This article: 0.0%Jose Fermoso: 0.7%Berkeleyside: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jose Fermoso: 0.3%Berkeleyside: 0.1%Middle Ground0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.1%Personal Incredulity0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.2%Special Pleading0.0%This article: 0.0%Jose Fermoso: 0.4%Berkeleyside: 0.1%Genetic Fallacy0.0%This article: 0.0%Jose Fermoso: 1.7%Berkeleyside: 1.0%Unattributed Quote0.0%This article: 0.0%Jose Fermoso: 1.4%Berkeleyside: 0.6%Quote-first Misdirection0.0%This article: 0.0%Jose Fermoso: 0.7%Berkeleyside: 2.3%Biased Writer Voice0.0%This article: 0.0%Jose Fermoso: 0.6%Berkeleyside: 0.7%Indoctrination0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Jose Fermoso: 0.0%Berkeleyside: 0.1%Politically Right Leaning Bias0.0%This article: 6.3%Jose Fermoso: 0.9%Berkeleyside: 2.0%Attempt to Sell a Product or S…6.3%

559 words analyzed.

Speakers

9speakers84%attributed speech90writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageKaley Skantz • 25 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageMarket analysts on Wall Street and international travel associations • 42 words • 0.0% coverageSouthwest Airlines • 23 words • 0.0% coverageBob Jordan • 39 words • 0.0% coverageBob Jordan • 16 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageAlaska Air Group • 27 words • 0.0% coverageBen Minicucci • 17 words • 0.0% coverageVolaris • 40 words • 0.0% coverageThe New York Times • 32 words • 0.0% coverageKaley Skantz • 17 words • 0.0% coverageUpgraded Points • 36 words • 0.0% coverageUpgraded Points • 31 words • 0.0% coverageUpgraded Points • 32 words • 0.0% coverageKaley Skantz • 19 words • 0.0% coverageKaley Skantz • 38 words • 0.0% coverageKaley Skantz • 35 words • 100.0% coverage
42 attributed words9.0% of attributed speech48% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.