KQED⁠61%

Who Will Fill Pelosi's Seat? SF Candidates Face Off in Debate ⁠0%

By Scott Shafer⁠0% Sydney Johnson⁠59%

4/4/2026, 5:05:58 AM

BS Summary: This article contains 2 faulty reasoning types, including Biased Writer Voice, with Framing Effect as the most egregious example at 21.1% saturation with 19 hits. Analysis detected 38 faulty-reasoning hits from 90 analyzed words, generating a BS Score of 0% and a BS Rank of ⁠0% (0 of 21,887 articles). This article is better (less manipulative) than 100.00% of the article peer group.

The top contenders vying to replace Speaker Emerita Nancy Pelosi in Congress took the stage at San Francisco’s Sydney Goldstein Theater for a debate moderated by Political Breakdown host Scott Shafer and KQED’s Sydney Johnson. 
The candidates fielded questions spanning domestic and international policy, offering voters a glimpse into their priorities and leadership style. 
The field for Congressional District 11 includes San Francisco Supervisor Connie Chan, former congressional aide and software engineer Saikat Chakrabarti, and State Senator Scott Wiener. 
Article reasoning-pattern comparisonThis article: 0.0%Scott Shafer: 6.3%CalMatters: 1.9%Confirmation Bias0.0%This article: 0.0%Scott Shafer: 2.7%CalMatters: 0.9%Anchoring Bias0.0%This article: 0.0%Scott Shafer: 6.5%CalMatters: 3.0%Availability Heuristic0.0%This article: 0.0%Scott Shafer: 1.3%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Scott Shafer: 2.0%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Scott Shafer: 1.3%CalMatters: 1.2%Overconfidence Bias0.0%This article: 21.1%Scott Shafer: 30.0%CalMatters: 6.3%Framing Effect21.1%This article: 0.0%Scott Shafer: 0.2%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Scott Shafer: 2.2%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Scott Shafer: 3.5%CalMatters: 3.5%Optimism Bias0.0%This article: 0.0%Scott Shafer: 0.9%CalMatters: 1.4%Pessimism Bias0.0%This article: 0.0%Scott Shafer: 22.1%CalMatters: 6.4%Negativity Bias0.0%This article: 0.0%Scott Shafer: 1.9%CalMatters: 1.7%Self-Serving Bias0.0%This article: 0.0%Scott Shafer: 1.3%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Scott Shafer: 0.3%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Scott Shafer: 3.8%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Scott Shafer: 2.1%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Scott Shafer: 5.3%CalMatters: 2.7%Halo Effect0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Scott Shafer: 7.0%CalMatters: 0.9%Recency Bias0.0%This article: 0.0%Scott Shafer: 1.5%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Scott Shafer: 1.3%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Scott Shafer: 0.2%CalMatters: 0.2%Straw Man0.0%This article: 0.0%Scott Shafer: 7.6%CalMatters: 3.1%Appeal to Authority0.0%This article: 0.0%Scott Shafer: 2.4%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%Scott Shafer: 0.3%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Scott Shafer: 4.2%CalMatters: 3.6%Hasty Generalization0.0%This article: 0.0%Scott Shafer: 2.5%CalMatters: 0.2%Red Herring0.0%This article: 0.0%Scott Shafer: 2.7%CalMatters: 0.7%Bandwagon0.0%This article: 0.0%Scott Shafer: 7.5%CalMatters: 5.3%Appeal to Emotion0.0%This article: 0.0%Scott Shafer: 2.7%CalMatters: 0.6%Begging the Question0.0%This article: 0.0%Scott Shafer: 3.9%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Scott Shafer: 0.2%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Scott Shafer: 0.2%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Scott Shafer: 1.7%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 0.0%Scott Shafer: 1.3%CalMatters: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Scott Shafer: 0.0%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Scott Shafer: 1.6%CalMatters: 0.1%Genetic Fallacy0.0%This article: 0.0%Scott Shafer: 1.8%CalMatters: 0.8%Unattributed Quote0.0%This article: 0.0%Scott Shafer: 2.0%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 21.1%Scott Shafer: 20.5%CalMatters: 3.1%Biased Writer Voice21.1%This article: 0.0%Scott Shafer: 0.7%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%Scott Shafer: 8.4%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Scott Shafer: 1.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Scott Shafer: 8.5%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

90 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

Loading…
Loading…
Loading…
Loading…

Analysis

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