KQED⁠61%

Guide to San Francisco’s Ballot: Dueling Tax Measures, Sunset District Supervisor, Race to Replace Pelosi ⁠55%

By Marisa Lagos⁠87% Guy Marzorati⁠71% Sydney Johnson⁠59%

5/22/2026, 4:05:26 PM

BS Summary: This article contains 12 faulty reasoning types, including Primacy Effect, Middle Ground, and Biased Writer Voice, with Framing Effect as the most egregious example at 61.1% saturation with 91 hits. Analysis detected 385 faulty-reasoning hits from 149 analyzed words, generating a BS Score of 52.7% and a BS Rank of ⁠55% (10,005 of 21,887 articles). This article is worse (more manipulative) than 54.30% of the article peer group.

Marisa, Guy and KQED’s Sydney Johnson crack open San Francisco’s ballot and dig into the competing business-tax measures Proposition D and Proposition C, the Sunset District supervisor’s race and what an ideal election night would look like for Mayor Daniel Lurie, who’s weighed in on all of it. 
Plus, they discuss the race to replace Rep. 
Nancy Pelosi in Congress and her endorsement this week of San Francisco Supervisor Connie Chan. 
Check out Political Breakdown’s weekly newsletter, delivered straight to your inbox. 
And join us for a town hall at KQED with Tom Steyer, a top Democrat in the race for governor. 
Steyer will be talking with KQED’s Guy Marzorati and taking audience questions on Tuesday, May 26 at 6:00pm at KQED headquarters in San Francisco. 
You can register for the event at KQED.org/events. 
Article reasoning-pattern comparisonThis article: 0.0%Marisa Lagos: 5.0%CalMatters: 1.9%Confirmation Bias0.0%This article: 0.0%Marisa Lagos: 0.9%CalMatters: 0.9%Anchoring Bias0.0%This article: 7.4%Marisa Lagos: 4.2%CalMatters: 3.0%Availability Heuristic7.4%This article: 0.0%Marisa Lagos: 1.8%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Marisa Lagos: 1.0%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Marisa Lagos: 1.9%CalMatters: 1.2%Overconfidence Bias0.0%This article: 61.1%Marisa Lagos: 14.7%CalMatters: 6.3%Framing Effect61.1%This article: 0.0%Marisa Lagos: 0.4%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Marisa Lagos: 1.5%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Marisa Lagos: 3.5%CalMatters: 3.5%Optimism Bias0.0%This article: 0.0%Marisa Lagos: 0.7%CalMatters: 1.4%Pessimism Bias0.0%This article: 10.1%Marisa Lagos: 11.6%CalMatters: 6.4%Negativity Bias10.1%This article: 0.0%Marisa Lagos: 2.8%CalMatters: 1.7%Self-Serving Bias0.0%This article: 0.0%Marisa Lagos: 2.1%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Marisa Lagos: 0.5%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Marisa Lagos: 2.9%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 13.4%Marisa Lagos: 2.7%CalMatters: 2.7%Halo Effect13.4%This article: 0.0%Marisa Lagos: 0.3%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 10.1%Marisa Lagos: 2.5%CalMatters: 0.9%Recency Bias10.1%This article: 32.2%Marisa Lagos: 1.0%CalMatters: 0.3%Primacy Effect32.2%This article: 0.0%Marisa Lagos: 0.1%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Marisa Lagos: 1.9%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Marisa Lagos: 0.2%CalMatters: 0.2%Straw Man0.0%This article: 23.5%Marisa Lagos: 4.5%CalMatters: 3.1%Appeal to Authority23.5%This article: 10.1%Marisa Lagos: 2.5%CalMatters: 1.1%False Dilemma10.1%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Marisa Lagos: 0.1%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Marisa Lagos: 4.6%CalMatters: 3.6%Hasty Generalization0.0%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.2%Red Herring0.0%This article: 0.0%Marisa Lagos: 1.5%CalMatters: 0.7%Bandwagon0.0%This article: 0.0%Marisa Lagos: 6.5%CalMatters: 5.3%Appeal to Emotion0.0%This article: 0.0%Marisa Lagos: 1.6%CalMatters: 0.6%Begging the Question0.0%This article: 0.0%Marisa Lagos: 3.6%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Marisa Lagos: 0.2%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Marisa Lagos: 0.1%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Marisa Lagos: 0.3%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Marisa Lagos: 1.2%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 0.0%Marisa Lagos: 1.5%CalMatters: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 32.2%Marisa Lagos: 0.3%CalMatters: 0.1%Middle Ground32.2%This article: 0.0%Marisa Lagos: 0.2%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Marisa Lagos: 0.8%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Marisa Lagos: 0.7%CalMatters: 0.1%Genetic Fallacy0.0%This article: 0.0%Marisa Lagos: 0.9%CalMatters: 0.8%Unattributed Quote0.0%This article: 0.0%Marisa Lagos: 0.8%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 32.2%Marisa Lagos: 7.1%CalMatters: 3.1%Biased Writer Voice32.2%This article: 13.4%Marisa Lagos: 1.0%CalMatters: 1.9%Indoctrination13.4%This article: 0.0%Marisa Lagos: 6.1%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 12.8%Marisa Lagos: 3.5%CalMatters: 1.2%Attempt to Sell a Product or S…12.8%

149 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.