KQED61%

Silicon Valley Spent Millions on California's Primaries with Mixed Results 61%

By Lesley McClurg0%

6/16/2026, 4:01:59 PM

BS Summary: This article contains 7 faulty reasoning types, including Framing Effect, Pessimism Bias, and Negativity Bias, with Fundamental Attribution Error as the most egregious example at 26.9% saturation with 28 hits. Analysis detected 127 faulty-reasoning hits from 104 analyzed words, generating a BS Score of 56.7% and a BS Rank of 61% (8,596 of 21,887 articles). This article is worse (more manipulative) than 60.70% of the article peer group.

Silicon Valley spent big in California’s primaries. 
Venture capitalists, artificial intelligence executives and tech billionaires poured tens of millions of dollars into races up and down the ballot, trying to influence who will regulate them. 
For the most part, their preferred candidates fell short, a sign of growing anti-tech sentiment among voters. 
However, tech-backed super PACs managed to secure some notable victories. 
KQED’s Lesley McClurg is joined by Politico’s Silicon Valley reporter Christine Mui to assess the impact of Big Tech’s big spending. 
Check out Political Breakdown’s weekly newsletter, delivered straight to your inbox. 
Article reasoning-pattern comparisonThis article: 0.0%Lesley McClurg: 6.3%CalMatters: 1.9%Confirmation Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.9%Anchoring Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 3.0%Availability Heuristic0.0%This article: 0.0%Lesley McClurg: 3.2%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 1.2%Overconfidence Bias0.0%This article: 19.2%Lesley McClurg: 25.6%CalMatters: 6.3%Framing Effect19.2%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 3.5%Optimism Bias0.0%This article: 16.3%Lesley McClurg: 3.9%CalMatters: 1.4%Pessimism Bias16.3%This article: 16.3%Lesley McClurg: 10.3%CalMatters: 6.4%Negativity Bias16.3%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 1.7%Self-Serving Bias0.0%This article: 26.9%Lesley McClurg: 7.4%CalMatters: 0.7%Fundamental Attribution Error26.9%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Lesley McClurg: 2.0%CalMatters: 2.7%Halo Effect0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Lesley McClurg: 1.3%CalMatters: 0.9%Recency Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.2%Straw Man0.0%This article: 0.0%Lesley McClurg: 4.4%CalMatters: 3.1%Appeal to Authority0.0%This article: 0.0%Lesley McClurg: 6.4%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Lesley McClurg: 12.3%CalMatters: 3.6%Hasty Generalization0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.2%Red Herring0.0%This article: 0.0%Lesley McClurg: 2.1%CalMatters: 0.7%Bandwagon0.0%This article: 0.0%Lesley McClurg: 2.4%CalMatters: 5.3%Appeal to Emotion0.0%This article: 0.0%Lesley McClurg: 4.8%CalMatters: 0.6%Begging the Question0.0%This article: 16.3%Lesley McClurg: 6.2%CalMatters: 2.0%Post Hoc (False Cause)16.3%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 0.0%Lesley McClurg: 2.1%CalMatters: 0.8%Unattributed Quote0.0%This article: 0.0%Lesley McClurg: 2.1%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 16.3%Lesley McClurg: 8.6%CalMatters: 3.1%Biased Writer Voice16.3%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%Lesley McClurg: 4.8%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Lesley McClurg: 0.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 10.6%Lesley McClurg: 4.0%CalMatters: 1.2%Attempt to Sell a Product or S…10.6%

104 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.