BS Summary: This article contains 29 faulty reasoning types, including Anchoring Bias, Appeal to Authority, and Hasty Generalization, with Post Hoc (False Cause) as the most egregious example at 20.4% saturation with 138 hits. Analysis detected 1,326 faulty-reasoning hits from 678 analyzed words, generating a BS Score of 50.2% and a BS Rank of 50% (10,995 of 21,887 articles). This article is better (less manipulative) than 50.20% of the article peer group.

The instant he announced, Silicon Valley companies and moguls championed San Jose Mayor Matt Mahan’s bid for California governor in the June primary. 
But even with $15 million behind him, Mahan sputtered in sixth place. 
Now, some of his backers are regrouping around a new favorite. 
Former U.S. 
Health and Human Services Secretary Xavier Becerra has seen tens of thousands of dollars come into his campaign coffers from early Mahan backers, including YCombinator CEO Garry Tan and Snap, Inc. co-founder Evan Spiegel. 
Each gave the maximum allowed, $39,200, on June 26. 
Becerra’s also now getting support from Los Angeles billionaire real estate mogul Rick Caruso, who backed Mahan in the primary; Caruso also gave the $39,200 maximum, on June 30. 
“Politics is a long-term commitment, not a one-cycle effort,” Tan said in a statement provided by a spokesperson. 
“Success comes from listening, building coalitions, and staying engaged beyond election day and throughout the year. 
The tech sector will continue to grow politically and continue to contribute.” 
The filings also show Becerra received more than $235,000 after the primary from billionaire Silicon Valley venture capitalist Ron Conway and several of his family members. 
Conway had not donated to Mahan in the primary, but he long supported Mahan’s business ventures and political career in San Jose over the years. 
The reason for Silicon Valley’s turn is “pretty simple,” said Rich Robinson, a veteran California political strategist: “Xavier is gonna be the winner. 
Get on the train now.” 
“They’re trying to make up for the fact they were with Mahan and don’t want to be shut out of the Becerra administration,” added Robinson, who worked on the presidential campaigns of Joe Biden, Barack Obama, and Bill Clinton. 
Lisa Pritzker, the ex-wife of billionaire investor John Pritzker, gave $39,200 to Becerra on June 15; John Pritzker had previously backed Mahan by giving $500,000 to a third party political action committee. 
The company behind the online grocery delivery app Instacart has also backed Becerra directly with a $39,200 donation. 
Instacart had previously contributed $25,000 to a third party committee that spent in support of Mahan. 
Some in the tech world had stock in Becerra before the primary results. 
Netflix CEO Reed Hastings had donated both to Becerra and Mahan before the San Jose mayor’s primary defeat. 
Meta gave $245,000 to a pro-Becerra committee on May 29, while Uber gave $1 million to the same group seven days earlier. 
A number of employees at Anthropic, the artificial intelligence giant and direct competitor to OpenAI, have also gone big on Becerra. 
Recent filings show they gave at least $255,000 to him directly, since the June primary alone. 
“These are savvy investors,” said Eric Jaye, who was Mahan’s top strategist before parting ways with the campaign before the primary. 
“They know Becerra is going to win  and that in California, the very best Republican can’t beat the worst Democrat.” 
That’s not to say the tech world has been unified in the race, or putting its eggs in one basket. 
Take Palantir co-founder Joe Lonsdale, for example, an early Mahan backer. 
One of his key business partners, Palmer Luckey  who also founded Anduril Industries, a defense tech company that saw major backing from Peter Thiel’s Founders Fund  made a $39,200 donation to Republican Steve Hilton on the day of the primary. 
Or Baiju Bhatt and Vlad Tenev, the co-founders of the Menlo Park-based stock trading app Robinhood. 
Bhatt gave $39,200 to Steve Hilton on June 1. 
Tenev gave $250,000 to an outside committee supporting Becerra two days later. 
“These folks are not conservative or liberal  they support anyone who supports them,” Robinson said. 
“They don’t care if it’s left or right, so long as it’s pro-Silicon Valley, pro-AI, pro-housing. 
And they’ll have to learn that money itself is not going to win an election, especially California.” 
Mahan, for his part, has yet to make an endorsement in the race. 
Neither he nor a spokesperson returned a request for comment. 
Article reasoning-pattern comparisonThis article: 2.9%Brandon Pho: 4.2%Mission Local: 2.7%Confirmation Bias2.9%This article: 17.1%Brandon Pho: 2.8%Mission Local: 0.9%Anchoring Bias17.1%This article: 7.4%Brandon Pho: 3.0%Mission Local: 2.9%Availability Heuristic7.4%This article: 4.0%Brandon Pho: 1.6%Mission Local: 0.9%Representativeness Heuristic4.0%This article: 1.9%Brandon Pho: 0.8%Mission Local: 0.4%Hindsight Bias1.9%This article: 9.6%Brandon Pho: 1.3%Mission Local: 1.1%Overconfidence Bias9.6%This article: 2.1%Brandon Pho: 8.1%Mission Local: 4.7%Framing Effect2.1%This article: 0.0%Brandon Pho: 0.3%Mission Local: 0.4%Loss Aversion0.0%This article: 9.3%Brandon Pho: 0.8%Mission Local: 0.7%Status Quo Bias9.3%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Sunk Cost Effect0.0%This article: 4.1%Brandon Pho: 0.8%Mission Local: 2.3%Optimism Bias4.1%This article: 5.6%Brandon Pho: 2.2%Mission Local: 1.3%Pessimism Bias5.6%This article: 6.3%Brandon Pho: 7.3%Mission Local: 5.9%Negativity Bias6.3%This article: 5.8%Brandon Pho: 1.8%Mission Local: 1.2%Self-Serving Bias5.8%This article: 9.4%Brandon Pho: 2.8%Mission Local: 1.0%Fundamental Attribution Error9.4%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Actor-Observer Bias0.0%This article: 7.1%Brandon Pho: 1.5%Mission Local: 1.1%In-Group Bias7.1%This article: 2.4%Brandon Pho: 0.5%Mission Local: 0.7%Out-Group Homogeneity Bias2.4%This article: 9.3%Brandon Pho: 2.8%Mission Local: 1.4%Halo Effect9.3%This article: 0.0%Brandon Pho: 0.5%Mission Local: 0.0%Horn Effect0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.0%Dunning-Kruger Effect0.0%This article: 10.0%Brandon Pho: 1.8%Mission Local: 1.1%Recency Bias10.0%This article: 5.8%Brandon Pho: 1.1%Mission Local: 0.4%Primacy Effect5.8%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.0%Blind-Spot Bias0.0%This article: 0.0%Brandon Pho: 2.2%Mission Local: 2.9%Ad Hominem0.0%This article: 0.0%Brandon Pho: 0.1%Mission Local: 0.8%Straw Man0.0%This article: 12.2%Brandon Pho: 4.1%Mission Local: 2.7%Appeal to Authority12.2%This article: 7.8%Brandon Pho: 1.5%Mission Local: 1.6%False Dilemma7.8%This article: 0.0%Brandon Pho: 1.9%Mission Local: 0.7%Slippery Slope0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.1%Circular Reasoning0.0%This article: 10.3%Brandon Pho: 6.4%Mission Local: 4.8%Hasty Generalization10.3%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Red Herring0.0%This article: 2.4%Brandon Pho: 0.8%Mission Local: 0.9%Bandwagon2.4%This article: 2.4%Brandon Pho: 3.1%Mission Local: 3.8%Appeal to Emotion2.4%This article: 1.8%Brandon Pho: 1.6%Mission Local: 0.6%Begging the Question1.8%This article: 20.4%Brandon Pho: 3.9%Mission Local: 2.1%Post Hoc (False Cause)20.4%This article: 0.0%Brandon Pho: 0.4%Mission Local: 0.3%Tu Quoque0.0%This article: 0.0%Brandon Pho: 0.5%Mission Local: 1.1%Burden of Proof0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Appeal to Nature0.0%This article: 6.2%Brandon Pho: 0.9%Mission Local: 0.5%Composition/Division6.2%This article: 5.0%Brandon Pho: 2.5%Mission Local: 2.7%Anecdotal5.0%This article: 0.0%Brandon Pho: 0.5%Mission Local: 0.2%No True Scotsman0.0%This article: 6.8%Brandon Pho: 2.7%Mission Local: 1.3%Ambiguity (Equivocation)6.8%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Middle Ground0.0%This article: 0.0%Brandon Pho: 0.1%Mission Local: 0.1%Personal Incredulity0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.1%Special Pleading0.0%This article: 0.0%Brandon Pho: 1.0%Mission Local: 0.3%Genetic Fallacy0.0%This article: 0.3%Brandon Pho: 1.6%Mission Local: 1.0%Unattributed Quote0.3%This article: 0.0%Brandon Pho: 1.5%Mission Local: 0.9%Quote-first Misdirection0.0%This article: 0.0%Brandon Pho: 6.3%Mission Local: 2.7%Biased Writer Voice0.0%This article: 0.0%Brandon Pho: 0.1%Mission Local: 0.9%Indoctrination0.0%This article: 0.0%Brandon Pho: 0.5%Mission Local: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Brandon Pho: 0.7%Mission Local: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Brandon Pho: 0.4%Mission Local: 0.5%Attempt to Sell a Product or S…0.0%

678 words analyzed.

Speakers

3speakers30%attributed speech474writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 2 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageGarry Tan • 18 words • 0.0% coverageGarry Tan • 16 words • 0.0% coverageGarry Tan • 12 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageRich Robinson • 23 words • 0.0% coverageRich Robinson • 5 words • 0.0% coverageRich Robinson • 39 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageEric Jaye • 21 words • 0.0% coverageEric Jaye • 21 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageRich Robinson • 16 words • 0.0% coverageRich Robinson • 16 words • 0.0% coverageRich Robinson • 17 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverage
Selected voice

Eric Jaye

100%flagged-word coverage
42 attributed words21% of attributed speech98% writer coverage
0%2.5%5.0%Unattributed Quote-0.4 ptsWriter: 0.4%Eric Jaye: 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.