Republican candidate Steve Hilton demands Chad Bianco drop out of CA governor race ⁠70%

By Daniel Farr⁠69%

5/31/2026, 2:29:17 AM

BS Summary: This article contains 21 faulty reasoning types, including Loss Aversion, Negativity Bias, and Unattributed Quote, with False Dilemma as the most egregious example at 31.8% saturation with 96 hits. Analysis detected 665 faulty-reasoning hits from 302 analyzed words, generating a BS Score of 63.2% and a BS Rank of ⁠70% (6,155 of 20,183 articles). This article is worse (more manipulative) than 69.50% of the article peer group.

Republican gubernatorial candidate Steve Hilton is making an urgent appeal to Republican rival Chad Bianco to exit the race, warning that a divided GOP could hand Democrats both spots in California’s general election. 
With just days before Tuesday’s primary, Hilton argued the contest has become a battle among three candidates for two coveted spots on the November ballot. 
“It’s a very, very tight race,” Hilton said in a social media post. 
“There’s basically three people competing for two spots in the general election.” 
The former Fox News host painted a joyless picture for conservatives if the party fails to consolidate behind a single candidate. 
“We could have Tom Steyer and Xavier Becerra in the general election,” he said. 
“That is a disaster for California.” 
The Englishman escalated the pressure on Bianco, claiming Republican infighting could produce what he called an electoral “Doomsday Scenario.” 
“ONE MAN can stop the Doomsday Scenario!” 
“Chad, the best time to drop out was two weeks ago. 
The second best is now…” 
Hilton also argued that key Republican priorities, including voter ID measures, could be jeopardized if Democrats lock Republicans out of the governor’s race. 
He warned that GOP candidates across California’s ballot would suffer politically unless Bianco withdraws. 
The plea comes after a new California Post poll released Friday showed a surprisingly tight contest at the top of the field. 
The survey, conducted May 26-28, found Democrat Tom Steyer and Hilton tied for first place at 25% each. 
Former Biden-staffer Xavier Becerra, long viewed as a frontrunner, trailed in third with 19%. 
Bianco placed fourth with 10%, followed by Katie Porter at 7% and Matt Mahan at 6%. 
The poll reported a margin of error of 3.5 percentage points and a 95% confidence level. 
Article reasoning-pattern comparisonThis article: 4.0%Daniel Farr: 3.7%California Post: 4.0%Confirmation Bias4.0%This article: 6.0%Daniel Farr: 1.3%California Post: 1.4%Anchoring Bias6.0%This article: 4.6%Daniel Farr: 4.7%California Post: 4.2%Availability Heuristic4.6%This article: 12.6%Daniel Farr: 1.1%California Post: 1.1%Representativeness Heuristic12.6%This article: 0.0%Daniel Farr: 0.6%California Post: 0.7%Hindsight Bias0.0%This article: 0.0%Daniel Farr: 0.5%California Post: 2.2%Overconfidence Bias0.0%This article: 12.6%Daniel Farr: 12.8%California Post: 10.4%Framing Effect12.6%This article: 20.2%Daniel Farr: 1.2%California Post: 0.9%Loss Aversion20.2%This article: 0.0%Daniel Farr: 0.9%California Post: 0.6%Status Quo Bias0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Sunk Cost Effect0.0%This article: 2.3%Daniel Farr: 1.3%California Post: 2.5%Optimism Bias2.3%This article: 8.9%Daniel Farr: 1.5%California Post: 1.5%Pessimism Bias8.9%This article: 19.9%Daniel Farr: 17.6%California Post: 16.1%Negativity Bias19.9%This article: 0.0%Daniel Farr: 0.9%California Post: 2.4%Self-Serving Bias0.0%This article: 0.0%Daniel Farr: 1.5%California Post: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Daniel Farr: 0.2%California Post: 0.2%Actor-Observer Bias0.0%This article: 0.0%Daniel Farr: 1.0%California Post: 1.6%In-Group Bias0.0%This article: 0.0%Daniel Farr: 0.9%California Post: 1.1%Out-Group Homogeneity Bias0.0%This article: 4.6%Daniel Farr: 2.2%California Post: 3.0%Halo Effect4.6%This article: 0.0%Daniel Farr: 0.5%California Post: 0.6%Horn Effect0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 11.6%Daniel Farr: 1.7%California Post: 1.6%Recency Bias11.6%This article: 4.6%Daniel Farr: 0.4%California Post: 0.5%Primacy Effect4.6%This article: 0.0%Daniel Farr: 0.0%California Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Daniel Farr: 2.2%California Post: 2.6%Ad Hominem0.0%This article: 0.0%Daniel Farr: 0.2%California Post: 0.5%Straw Man0.0%This article: 0.0%Daniel Farr: 3.1%California Post: 4.2%Appeal to Authority0.0%This article: 31.8%Daniel Farr: 1.5%California Post: 1.4%False Dilemma31.8%This article: 10.9%Daniel Farr: 0.7%California Post: 1.0%Slippery Slope10.9%This article: 0.0%Daniel Farr: 0.0%California Post: 0.2%Circular Reasoning0.0%This article: 0.0%Daniel Farr: 4.0%California Post: 5.5%Hasty Generalization0.0%This article: 0.0%Daniel Farr: 0.7%California Post: 0.7%Red Herring0.0%This article: 0.0%Daniel Farr: 0.5%California Post: 1.4%Bandwagon0.0%This article: 11.3%Daniel Farr: 8.4%California Post: 9.0%Appeal to Emotion11.3%This article: 0.0%Daniel Farr: 0.6%California Post: 1.1%Begging the Question0.0%This article: 7.6%Daniel Farr: 2.3%California Post: 2.7%Post Hoc (False Cause)7.6%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Tu Quoque0.0%This article: 0.0%Daniel Farr: 0.7%California Post: 0.8%Burden of Proof0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.2%Composition/Division0.0%This article: 0.0%Daniel Farr: 2.0%California Post: 3.6%Anecdotal0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.0%No True Scotsman0.0%This article: 0.0%Daniel Farr: 1.7%California Post: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Daniel Farr: 0.1%California Post: 0.1%Middle Ground0.0%This article: 0.0%Daniel Farr: 0.0%California Post: 0.1%Personal Incredulity0.0%This article: 3.6%Daniel Farr: 0.1%California Post: 0.2%Special Pleading3.6%This article: 0.0%Daniel Farr: 0.3%California Post: 0.4%Genetic Fallacy0.0%This article: 18.2%Daniel Farr: 2.5%California Post: 3.2%Unattributed Quote18.2%This article: 7.3%Daniel Farr: 1.9%California Post: 2.1%Quote-first Misdirection7.3%This article: 11.3%Daniel Farr: 12.4%California Post: 13.2%Biased Writer Voice11.3%This article: 6.3%Daniel Farr: 1.6%California Post: 1.4%Indoctrination6.3%This article: 0.0%Daniel Farr: 0.3%California Post: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Daniel Farr: 3.9%California Post: 3.1%Politically Right Leaning Bias0.0%This article: 0.0%Daniel Farr: 0.7%California Post: 6.1%Attempt to Sell a Product or S…0.0%

302 words analyzed.

Speakers

1speaker23%attributed speech234writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageSteve Hilton • 13 words • 100.0% coverageSteve Hilton • 12 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageSteve Hilton • 14 words • 100.0% coverageSteve Hilton • 6 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageSteve Hilton • 7 words • 0.0% coverageSteve Hilton • 11 words • 100.0% coverageSteve Hilton • 5 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverage
Selected voice

Steve Hilton

100%flagged-word coverage
68 attributed words100% of attributed speech93% writer coverage
0%42.5%85.0%Unattributed Quote+80.9 ptsWriter: 0.0%Steve Hilton: 80.9%80.9%Biased Writer Voice-14.5 ptsWriter: 14.5%Steve Hilton: 0.0%0.0%Quote-first Misdirection-9.4 ptsWriter: 9.4%Steve Hilton: 0.0%0.0%Indoctrination-8.1 ptsWriter: 8.1%Steve Hilton: 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.