Sexual Assault Allegations Reshape Political Races from Maine to San Francisco 34%

7/11/2026, 1:10:54 AM

BS Summary: This article contains 14 faulty reasoning types, including Framing Effect, Post Hoc (False Cause), and Negativity Bias, with Ambiguity (Equivocation) as the most egregious example at 42.8% saturation with 95 hits. Analysis detected 617 faulty-reasoning hits from 222 analyzed words, generating a BS Score of 41.8% and a BS Rank of 34% (14,601 of 21,886 articles). This article is better (less manipulative) than 66.70% of the article peer group.

Sexual Assault Allegations Reshape Political Races from Maine to San Francisco 
A candidate for San Francisco supervisor was accused of sexual assault, leading some Democrats to pull their endorsements while others wait for more evidence. 
Lesley McClurg Sydney Johnson 
Manny Yekutiel and former presidential candidate Tom Steyer during Steyer's appearance at Manny's in San Francisco, Calif., on Wednesday, July 17, 2019. 
(Scott Strazzante/San Francisco Chronicle via Getty) 
Sexual assault allegations have upended high-profile political campaigns across the country. 
This week, Democrat Graham Platner, a candidate for U.S. 
Senate in Maine, suspended his campaign following an accusation of rape. 
It comes months after former East Bay Congressman Eric Swalwell's California gubernatorial bid collapsed under similar allegations. 
Now, a sexual assault allegation has emerged against Manny Yekutiel , owner of Manny's Café and candidate for San Francisco's District 8 supervisor. 
KQED's Lesley McClurg and Sydney Johnson discuss the fallout. 
Then, Lesley talks with Hannah Wiley, senior politics reporter at the San Francisco Standard. 
She recently profiled the 29-year-old Californian who's played a role in toppling the campaigns of Swalwell and Platner. 
Cheyenne Hunt is using social media to amplify allegations against men and is connecting accusers with lawyers and reporters. 
Check out ⁠⁠⁠ ⁠Political Breakdown's weekly newsletter⁠ ⁠⁠⁠, delivered straight to your inbox. 
Article reasoning-pattern comparisonThis article: 18.9%CalMatters: 1.9%Confirmation Bias18.9%This article: 0.0%CalMatters: 0.9%Anchoring Bias0.0%This article: 12.6%CalMatters: 3.0%Availability Heuristic12.6%This article: 5.0%CalMatters: 1.0%Representativeness Heuristic5.0%This article: 0.0%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%CalMatters: 1.2%Overconfidence Bias0.0%This article: 39.2%CalMatters: 6.3%Framing Effect39.2%This article: 0.0%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%CalMatters: 3.5%Optimism Bias0.0%This article: 0.0%CalMatters: 1.4%Pessimism Bias0.0%This article: 34.2%CalMatters: 6.4%Negativity Bias34.2%This article: 0.0%CalMatters: 1.7%Self-Serving Bias0.0%This article: 13.5%CalMatters: 0.7%Fundamental Attribution Error13.5%This article: 0.0%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%CalMatters: 2.7%Halo Effect0.0%This article: 0.0%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 23.0%CalMatters: 0.9%Recency Bias23.0%This article: 0.0%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%CalMatters: 0.2%Straw Man0.0%This article: 0.0%CalMatters: 3.1%Appeal to Authority0.0%This article: 0.0%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 12.6%CalMatters: 3.6%Hasty Generalization12.6%This article: 0.0%CalMatters: 0.2%Red Herring0.0%This article: 0.0%CalMatters: 0.7%Bandwagon0.0%This article: 8.6%CalMatters: 5.3%Appeal to Emotion8.6%This article: 0.0%CalMatters: 0.6%Begging the Question0.0%This article: 36.5%CalMatters: 2.0%Post Hoc (False Cause)36.5%This article: 0.0%CalMatters: 0.1%Tu Quoque0.0%This article: 15.3%CalMatters: 0.3%Burden of Proof15.3%This article: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 9.9%CalMatters: 3.1%Anecdotal9.9%This article: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 42.8%CalMatters: 1.2%Ambiguity (Equivocation)42.8%This article: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 0.0%CalMatters: 0.8%Unattributed Quote0.0%This article: 0.0%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 0.0%CalMatters: 3.1%Biased Writer Voice0.0%This article: 0.0%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 5.9%CalMatters: 1.2%Attempt to Sell a Product or S…5.9%

222 words analyzed.

Speakers

3speakers14%attributed speech191writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageLesley McClurg • 4 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageKQED • 9 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageHannah Wiley • 18 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverage
Selected voice

Hannah Wiley

100%flagged-word coverage
18 attributed words58% of attributed speech73% writer coverage
0%5.0%10.0%Attempt to Sell a Product -6.8 ptsWriter: 6.8%Hannah Wiley: 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.