KQED61%

FBI Raids Contra Costa County Tax Officials’ Homes and Office 19%

By Azul Dahlstrom-Eckman30%

6/9/2026, 10:37:14 PM

BS Summary: This article contains 12 faulty reasoning types, including Negativity Bias, Halo Effect, and Quote-first Misdirection, with Biased Writer Voice as the most egregious example at 40% saturation with 98 hits. Analysis detected 483 faulty-reasoning hits from 245 analyzed words, generating a BS Score of 33.7% and a BS Rank of 19% (17,873 of 21,887 articles). This article is better (less manipulative) than 81.70% of the article peer group.

The FBI served three federal search warrants in Contra Costa County on Tuesday morning, including the county assessor’s office, as part of an “ongoing investigation,” according to FBI spokesperson Cameron Polan. 
The bureau also searched a residence on Arnold Drive in the city of Martinez and a residence on Temple Drive in the nearby town of Pacheco, Polan said in an email to KQED. 
Polan said the bureau could not provide additional information about what alleged crimes motivated the search, as the investigation is ongoing. 
The Mercury News first reported the raid, adding that the Martinez residence is the home of outgoing County Assessor Gus Kramer, and the Pacheco residence is the home of Assistant County Assessor Vince Robb, who won an election last week to succeed Kramer. 
According to a search warrant obtained by The Mercury News, the FBI is searching for evidence of wire fraud and “other offenses.” 
The offices of the Contra Costa County Assessor, County Counsel and Administrator did not respond to requests for comment by the time of publication. 
The assessor’s office determines the taxable value for all real estate and property in the county. 
The Mercury News Editorial Board said Robb was Kramer’s “right-hand man” in a story endorsing him for the job last month, although it noted Kramer’s 32-year tenure as county assessor had been “marred by scandals,” including allegations of “retaliation, sexual harassment and improper land dealings.” 
Article reasoning-pattern comparisonThis article: 8.6%Azul Dahlstrom-Eckman: 1.6%CalMatters: 1.9%Confirmation Bias8.6%This article: 9.0%Azul Dahlstrom-Eckman: 1.2%CalMatters: 0.9%Anchoring Bias9.0%This article: 0.0%Azul Dahlstrom-Eckman: 3.0%CalMatters: 3.0%Availability Heuristic0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.8%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.3%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 1.1%CalMatters: 1.2%Overconfidence Bias0.0%This article: 4.1%Azul Dahlstrom-Eckman: 5.2%CalMatters: 6.3%Framing Effect4.1%This article: 0.0%Azul Dahlstrom-Eckman: 1.4%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Azul Dahlstrom-Eckman: 1.1%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.3%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Azul Dahlstrom-Eckman: 3.1%CalMatters: 3.5%Optimism Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 1.0%CalMatters: 1.4%Pessimism Bias0.0%This article: 32.2%Azul Dahlstrom-Eckman: 4.6%CalMatters: 6.4%Negativity Bias32.2%This article: 0.0%Azul Dahlstrom-Eckman: 1.3%CalMatters: 1.7%Self-Serving Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.7%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 1.1%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 18.4%Azul Dahlstrom-Eckman: 1.1%CalMatters: 2.7%Halo Effect18.4%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.7%CalMatters: 0.9%Recency Bias0.0%This article: 17.6%Azul Dahlstrom-Eckman: 0.2%CalMatters: 0.3%Primacy Effect17.6%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.2%Straw Man0.0%This article: 12.7%Azul Dahlstrom-Eckman: 2.5%CalMatters: 3.1%Appeal to Authority12.7%This article: 0.0%Azul Dahlstrom-Eckman: 1.1%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.4%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.2%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Azul Dahlstrom-Eckman: 2.5%CalMatters: 3.6%Hasty Generalization0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.3%CalMatters: 0.2%Red Herring0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.3%CalMatters: 0.7%Bandwagon0.0%This article: 0.0%Azul Dahlstrom-Eckman: 4.6%CalMatters: 5.3%Appeal to Emotion0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.5%CalMatters: 0.6%Begging the Question0.0%This article: 0.0%Azul Dahlstrom-Eckman: 1.5%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.0%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.2%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.2%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Azul Dahlstrom-Eckman: 4.5%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 9.0%Azul Dahlstrom-Eckman: 1.0%CalMatters: 1.2%Ambiguity (Equivocation)9.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.2%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.1%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 9.0%Azul Dahlstrom-Eckman: 1.4%CalMatters: 0.8%Unattributed Quote9.0%This article: 18.4%Azul Dahlstrom-Eckman: 0.7%CalMatters: 0.7%Quote-first Misdirection18.4%This article: 40.0%Azul Dahlstrom-Eckman: 2.5%CalMatters: 3.1%Biased Writer Voice40.0%This article: 18.4%Azul Dahlstrom-Eckman: 1.1%CalMatters: 1.9%Indoctrination18.4%This article: 0.0%Azul Dahlstrom-Eckman: 0.4%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 0.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Azul Dahlstrom-Eckman: 1.0%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

245 words analyzed.

Speakers

3speakers80%attributed speech50writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 100.0% coverageCameron Polan • 31 words • 0.0% coverageCameron Polan • 33 words • 0.0% coverageCameron Polan • 21 words • 0.0% coverageThe Mercury News • 43 words • 100.0% coverageThe Mercury News • 22 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageThe Mercury News Editorial Board • 45 words • 100.0% coverage
100%flagged-word coverage
45 attributed words23% of attributed speech68% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%The Mercury News Editorial Board: 100.0%100.0%Indoctrination+100.0 ptsWriter: 0.0%The Mercury News Editorial Board: 100.0%100.0%Biased Writer Voice+80.0 ptsWriter: 20.0%The Mercury News Editorial Board: 100.0%100.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…

Analysis

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