KQED60%

Saikat Chakrabarti Launches Campaign to Support Connie Chan’s Bid for Congress 24%

By Sydney Johnson57%

6/15/2026, 11:53:13 PM

BS Summary: This article contains 21 faulty reasoning types, including Halo Effect, Quote-first Misdirection, and Negativity Bias, with Hasty Generalization as the most egregious example at 9.6% saturation with 92 hits. Analysis detected 839 faulty-reasoning hits from 961 analyzed words, generating a BS Score of 37.3% and a BS Rank of 24% (15,481 of 20,371 articles). This article is better (less manipulative) than 76.00% of the article peer group.

Saikat Chakrabarti, the former tech engineer who ran a failed campaign to replace Rep. 
Nancy Pelosi in Congress, is throwing his efforts behind his former opponent, Supervisor Connie Chan. 
Chakrabarti filed papers on Monday to launch an independent expenditure campaign and is turning his campaign into a political action committee, called Solidarity PAC, to support Chan, who defeated Chakrabarti in the June primary and will face off against Sen. 
Scott Wiener in November’s general election. 
While Chakrabarti and Chan differed on ways to accomplish change in Washington, he said that the two agree on “almost everything” when it comes to foreign policy, like stopping the flow of weapons from the U.S. to Israel and increasing taxes on the rich. 
“It’s extremely important that we have someone representing San Francisco who is for a tax on the ultra-rich, and Connie’s the only candidate right now that supports that,” Chakrabarti said. 
“And it’s really important that we have someone representing San Francisco who does not take corporate money.” 
Chakrabarti said in addition to the independent expenditure campaign, he is directing the more than 200 paid staff members from his run to pivot their door knocking and other field efforts to support Chan as well. 
He told KQED that he plans to put money into the committee backing Chan “at the same pace” that he was funding his own campaign through at least July 10. 
Supervisor Connie Chan speaks to supporters during an election night party at El Rio in San Francisco on June 2, 2026. 
(Beth LaBerge/KQED) 
Chakrabarti ran one of the most expensive self-funded campaigns, pouring $10 million of his own wealth from a former career as a tech engineer into the race. 
While Chan amassed wide support from labor unions, her campaign raised only a small fraction of the money compared to Chakrabarti. 
“This campaign has always been about empowering working people  not cozying up to big corporations. 
I welcome Saikat’s endorsement and will work every day to earn the vote of every person in San Francisco,” Chan said in a statement about the endorsement. 
Candidates are not allowed to directly coordinate with independent expenditures, and Chan did not comment on Chakrabarti’s fundraising. 
“Together, we can stand up to corporate power and bring the voices of working families to Washington.” 
Chakrabarti, who previously worked as chief of staff for New York Rep. 
Alexandria Ocasio-Cortez, ran as a progressive Democrat focused on changing the Democratic Party and breaking ties with corporate donors. 
But as a political outsider, he had little footprint in San Francisco’s small but mighty political circles and was not shy to criticize Democratic leaders like Pelosi, who has held the seat representing San Francisco for nearly four decades. 
Chan, also a progressive Democrat who moved to San Francisco from Hong Kong in her youth, has worked for years in City Hall and received the coveted endorsement from Pelosi herself. 
Jason McDaniel, a political science professor at San Francisco State University, said Chakrabarti’s move to back Chan could help consolidate more left-leaning voters. 
“It’s sending a signal to a lot of the sort of progressive voters and leaders in the city that there is a sense of unity and solidarity. 
I do think that one important part of this,” he said. 
Chakrabarti acknowledged that his campaign likely split some progressive voters and said he was happy to “consolidate the progressive movement.” 
San Francisco City Supervisor and Congressional candidate Connie Chan pins a button on a supporter at a get out the vote rally at City Hall in San Francisco on May 15, 2026. 
(Martin do Nascimento/KQED) 
But Chakrabarti’s endorsement isn’t guaranteed to be a big boost for Chan’s campaign, McDaniel said, noting that Chakrabarti did well among some demographics such as younger tech workers who might peel off and go for Wiener, the more moderate of the three. 
“Some people, maybe sort of younger tech type workers, saw Chakrabarti as a change agent,” he said. 
“Some similar voters see Scott Wiener as the one who also maybe represents change and who’s still relatively progressive and very liberal.” 
Wiener, a productive state lawmaker who also previously served as a local supervisor, received endorsements and hefty campaign contributions from various tech leaders as well as groups like San Francisco YIMBY, the moderate political organization GrowSF and the San Francisco Democratic Party. 
“Connie Chan has built a career on blocking housing and affordability for young people  the same voters Saikat claimed to speak for,” said Joe Arellano, campaign spokesperson for Wiener. 
“With this move, it’s clear that Saikat never cared about what’s best for San Francisco. 
He was only in the race to stroke his massive ego.” 
Wiener was projected to be the frontrunner in June and came out with nearly 41% of the vote in the June primary. 
Candidates running for California’s 11th Congressional District, (from left) Saikat Chakrabarti, state Sen. 
Scott Wiener, and San Francisco Supervisor Connie Chan, take part in a forum at UC Law San Francisco on Jan. 
7, 2026. 
(Beth LaBerge/KQED) 
Chan came in second with roughly 30%, higher than recent polling had projected, and Chakrabarti came in third with 18% of votes. 
“A week ago, Saikat was running Connie Chan attack ads, calling her ‘the establishment,’ and saying she’s a puppet of AIPAC. 
Now he’s endorsing her?” 
Arellano said. 
“This is the cynical politics that voters hate.” 
Chakrabarti said his support for Chan comes down to wanting to reshape democratic politics in Washington, D.C. 
“I never believed that it’s all about one race or one seat. 
I’ve always thought it has to be a movement of change,” Chakrabarti said. 
“Connie Chan is part of the movement in the right direction for the Democratic Party.” 
Article reasoning-pattern comparisonThis article: 0.0%Sydney Johnson: 2.3%CalMatters: 1.9%Confirmation Bias0.0%This article: 0.0%Sydney Johnson: 0.7%CalMatters: 0.9%Anchoring Bias0.0%This article: 1.8%Sydney Johnson: 3.4%CalMatters: 3.0%Availability Heuristic1.8%This article: 6.9%Sydney Johnson: 1.0%CalMatters: 1.0%Representativeness Heuristic6.9%This article: 0.0%Sydney Johnson: 0.2%CalMatters: 0.5%Hindsight Bias0.0%This article: 0.0%Sydney Johnson: 1.0%CalMatters: 1.2%Overconfidence Bias0.0%This article: 1.7%Sydney Johnson: 7.6%CalMatters: 6.3%Framing Effect1.7%This article: 0.0%Sydney Johnson: 1.0%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Sydney Johnson: 0.8%CalMatters: 0.7%Status Quo Bias0.0%This article: 2.8%Sydney Johnson: 0.2%CalMatters: 0.2%Sunk Cost Effect2.8%This article: 0.0%Sydney Johnson: 4.5%CalMatters: 3.6%Optimism Bias0.0%This article: 0.0%Sydney Johnson: 1.3%CalMatters: 1.4%Pessimism Bias0.0%This article: 7.6%Sydney Johnson: 7.4%CalMatters: 6.4%Negativity Bias7.6%This article: 0.0%Sydney Johnson: 2.6%CalMatters: 1.7%Self-Serving Bias0.0%This article: 4.4%Sydney Johnson: 1.5%CalMatters: 0.7%Fundamental Attribution Error4.4%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 0.0%Sydney Johnson: 2.4%CalMatters: 1.7%In-Group Bias0.0%This article: 0.0%Sydney Johnson: 0.4%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 9.2%Sydney Johnson: 2.7%CalMatters: 2.7%Halo Effect9.2%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Sydney Johnson: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 6.7%Sydney Johnson: 1.1%CalMatters: 0.9%Recency Bias6.7%This article: 0.0%Sydney Johnson: 0.4%CalMatters: 0.3%Primacy Effect0.0%This article: 0.0%Sydney Johnson: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 4.3%Sydney Johnson: 1.0%CalMatters: 0.6%Ad Hominem4.3%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.2%Straw Man0.0%This article: 2.4%Sydney Johnson: 2.8%CalMatters: 3.1%Appeal to Authority2.4%This article: 3.1%Sydney Johnson: 1.8%CalMatters: 1.1%False Dilemma3.1%This article: 0.0%Sydney Johnson: 0.3%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.1%Circular Reasoning0.0%This article: 9.6%Sydney Johnson: 4.0%CalMatters: 3.6%Hasty Generalization9.6%This article: 0.0%Sydney Johnson: 0.2%CalMatters: 0.2%Red Herring0.0%This article: 0.8%Sydney Johnson: 1.0%CalMatters: 0.7%Bandwagon0.8%This article: 2.6%Sydney Johnson: 4.9%CalMatters: 5.3%Appeal to Emotion2.6%This article: 3.3%Sydney Johnson: 0.7%CalMatters: 0.6%Begging the Question3.3%This article: 0.0%Sydney Johnson: 2.3%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 3.1%Sydney Johnson: 0.1%CalMatters: 0.1%Tu Quoque3.1%This article: 0.4%Sydney Johnson: 0.2%CalMatters: 0.3%Burden of Proof0.4%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.2%Appeal to Nature0.0%This article: 2.2%Sydney Johnson: 0.2%CalMatters: 0.2%Composition/Division2.2%This article: 0.0%Sydney Johnson: 3.5%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Sydney Johnson: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 1.6%Sydney Johnson: 1.1%CalMatters: 1.2%Ambiguity (Equivocation)1.6%This article: 0.0%Sydney Johnson: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sydney Johnson: 0.4%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Sydney Johnson: 0.2%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.2%Genetic Fallacy0.0%This article: 0.0%Sydney Johnson: 1.1%CalMatters: 0.8%Unattributed Quote0.0%This article: 8.1%Sydney Johnson: 0.9%CalMatters: 0.6%Quote-first Misdirection8.1%This article: 0.0%Sydney Johnson: 3.1%CalMatters: 3.1%Biased Writer Voice0.0%This article: 4.9%Sydney Johnson: 0.8%CalMatters: 1.9%Indoctrination4.9%This article: 0.0%Sydney Johnson: 1.6%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Sydney Johnson: 0.1%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Sydney Johnson: 0.8%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

961 words analyzed.

Speakers

6speakers34%attributed speech633writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 44 words • 0.0% coverageSaikat Chakrabarti • 30 words • 100.0% coverageSaikat Chakrabarti • 17 words • 100.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageBeth LaBerge • 2 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageConnie Chan • 16 words • 0.0% coverageConnie Chan • 27 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageJason McDaniel • 23 words • 0.0% coverageJason McDaniel • 27 words • 0.0% coverageJason McDaniel • 11 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageMartin do Nascimento • 3 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageJason McDaniel • 17 words • 0.0% coverageJason McDaniel • 22 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageJoe Arellano • 30 words • 100.0% coverageJoe Arellano • 15 words • 0.0% coverageJoe Arellano • 11 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageBeth LaBerge • 2 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageJoe Arellano • 21 words • 100.0% coverageJoe Arellano • 4 words • 0.0% coverageJoe Arellano • 2 words • 0.0% coverageJoe Arellano • 8 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageSaikat Chakrabarti • 12 words • 0.0% coverageSaikat Chakrabarti • 13 words • 0.0% coverageSaikat Chakrabarti • 15 words • 0.0% coverage
Selected voice

Joe Arellano

98%flagged-word coverage
91 attributed words28% of attributed speech48% writer coverage
0%30.0%60.0%Quote-first Misdirection+56.0 ptsWriter: 0.0%Joe Arellano: 56.0%56.0%

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.