Anti-AIPAC group that denounced Connie Chan now endorsing Chan 39%

By Yujie Zhou70%

7/21/2026, 5:36:22 PM

BS Summary: This article contains 17 faulty reasoning types, including Availability Heuristic, Optimism Bias, and Appeal to Emotion, with Post Hoc (False Cause) as the most egregious example at 15% saturation with 80 hits. Analysis detected 584 faulty-reasoning hits from 533 analyzed words, generating a BS Score of 45% and a BS Rank of 39% (12,476 of 20,444 articles). This article is better (less manipulative) than 61.00% of the article peer group.

Track AIPAC, an advocacy group that is popular for publicizing officials’ funding from Israel lobby groups such as AIPAC, has reversed course and is now endorsing Connie Chan in her bid for Congress after publicly denouncing her three days before the June primary. 
The group had drawn attention to a convoluted money trail from two pro-Israel political action committees to a $475,000 ad buy in favor of Chan, accusing her of being tied to pro-Israel lobbyists. 
It now says Chan is sufficiently critical of Israel to earn its endorsement. 
“Connie has signed our candidate questionnaire, affirming that Israel is committing genocide against the Palestinian people and that Congress must end U.S. complicity in it and hold those responsible to account,” stated Track AIPAC, also named Citizens Against AIPAC Corruption, in a statement today. 
It’s unclear whether Chan’s former rival, Saikat Chakrabarti, played a role in Track AIPAC pulling for Chan. 
One of Track AIPAC’s co-founders, Cory Archibald, is a longtime acquaintance of Chakrabarti and served as a former chairperson of Brand New Congress, a political action committee Chakrabarti co-founded. 
Track AIPAC has become known online for posting vivid graphics of elected officials and candidates alongside the total amounts they were given by AIPAC, the American Israel Public Affairs Committee, a long-time pro-Israel group. 
Track AIPAC had endorsed Chakrabarti in the primary and attacked Chan  Chakrabarti’s biggest rival for second place  before the election. 
Chakrabarti lost and subsequently endorsed Chan, saying “I’m gonna do what I can to help her win.” 
The group said that Chan’s rival in the race to succeed Rep. 
Nancy Pelosi, Sen. 
Scott Wiener, did not return its endorsement questionnaire. 
“Wiener’s positions on these issues have been continuously unclear, and where he has taken a stance, he has stopped well short of what accountability requires,” said the anti-AIPAC advocacy group. 
Specifically, Wiener does not support a full stop to arms sales to Israel; he condemns selling offensive weapons, but supports the sale of defensive missile systems. 
Wiener has publicly stated that Israel is committing genocide in Gaza. 
Track AIPAC's statement, however, does not directly address the group’s criticism of Chan before the primary, nor why it has reversed court. 
It says that Chan has committed to “refusing all money from pro-Israel lobby groups, including AIPAC, DMFI, RJC,” a stance she had taken before. 
An endorsement like this could help further differentiate Chan from Wiener on the issue of Gaza, and potentially help consolidate Chakrabarti’s progressive and pro-Palestinian supporters, who may otherwise sit out the general election, behind Chan. 
After news of the donation from two pro-Israel PACs to a group that bought pro-Chan ads, criticism of Chan for supposed pro-Israel ties went viral among leftists online, including among many in San Francisco. 
The endorsement could undo that perception. 
The endorsement could also be a reconciliation between the core supporters of Chan and Chakrabarti’s. 
The money trail that Chakrabarti and his allies made public in the last stretch before the primary racked up millions of views. 
Chakrabarti himself interpreted it as, “AIPAC sees me as their biggest threat, so they will do whatever it takes to try to defeat me.” 
Article reasoning-pattern comparisonThis article: 4.1%Yujie Zhou: 2.1%Mission Local: 2.6%Confirmation Bias4.1%This article: 0.0%Yujie Zhou: 1.6%Mission Local: 0.9%Anchoring Bias0.0%This article: 11.8%Yujie Zhou: 4.1%Mission Local: 2.8%Availability Heuristic11.8%This article: 0.0%Yujie Zhou: 2.2%Mission Local: 0.9%Representativeness Heuristic0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.4%Hindsight Bias0.0%This article: 0.0%Yujie Zhou: 1.3%Mission Local: 1.0%Overconfidence Bias0.0%This article: 1.7%Yujie Zhou: 5.4%Mission Local: 4.9%Framing Effect1.7%This article: 0.0%Yujie Zhou: 0.2%Mission Local: 0.4%Loss Aversion0.0%This article: 0.0%Yujie Zhou: 0.5%Mission Local: 0.7%Status Quo Bias0.0%This article: 0.0%Yujie Zhou: 0.6%Mission Local: 0.2%Sunk Cost Effect0.0%This article: 10.5%Yujie Zhou: 2.3%Mission Local: 2.0%Optimism Bias10.5%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 1.3%Pessimism Bias0.0%This article: 7.1%Yujie Zhou: 7.3%Mission Local: 5.9%Negativity Bias7.1%This article: 4.5%Yujie Zhou: 1.3%Mission Local: 1.2%Self-Serving Bias4.5%This article: 0.0%Yujie Zhou: 0.4%Mission Local: 1.0%Fundamental Attribution Error0.0%This article: 0.0%Yujie Zhou: 0.5%Mission Local: 0.2%Actor-Observer Bias0.0%This article: 0.0%Yujie Zhou: 0.9%Mission Local: 1.2%In-Group Bias0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.8%Out-Group Homogeneity Bias0.0%This article: 0.0%Yujie Zhou: 2.2%Mission Local: 1.2%Halo Effect0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.1%Horn Effect0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Yujie Zhou: 1.8%Mission Local: 1.1%Recency Bias0.0%This article: 4.1%Yujie Zhou: 0.3%Mission Local: 0.4%Primacy Effect4.1%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.0%Blind-Spot Bias0.0%This article: 0.0%Yujie Zhou: 0.3%Mission Local: 3.2%Ad Hominem0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.8%Straw Man0.0%This article: 0.0%Yujie Zhou: 4.3%Mission Local: 2.8%Appeal to Authority0.0%This article: 4.9%Yujie Zhou: 2.6%Mission Local: 1.7%False Dilemma4.9%This article: 0.0%Yujie Zhou: 1.6%Mission Local: 0.8%Slippery Slope0.0%This article: 0.0%Yujie Zhou: 0.4%Mission Local: 0.1%Circular Reasoning0.0%This article: 0.0%Yujie Zhou: 3.3%Mission Local: 4.8%Hasty Generalization0.0%This article: 0.0%Yujie Zhou: 0.7%Mission Local: 0.3%Red Herring0.0%This article: 0.0%Yujie Zhou: 1.7%Mission Local: 0.9%Bandwagon0.0%This article: 8.3%Yujie Zhou: 5.8%Mission Local: 3.8%Appeal to Emotion8.3%This article: 0.0%Yujie Zhou: 0.8%Mission Local: 0.7%Begging the Question0.0%This article: 15.0%Yujie Zhou: 3.8%Mission Local: 2.1%Post Hoc (False Cause)15.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.3%Tu Quoque0.0%This article: 4.1%Yujie Zhou: 1.5%Mission Local: 1.2%Burden of Proof4.1%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.3%Appeal to Nature0.0%This article: 0.0%Yujie Zhou: 0.3%Mission Local: 0.5%Composition/Division0.0%This article: 6.4%Yujie Zhou: 4.7%Mission Local: 2.8%Anecdotal6.4%This article: 4.5%Yujie Zhou: 0.4%Mission Local: 0.2%No True Scotsman4.5%This article: 5.6%Yujie Zhou: 1.1%Mission Local: 1.3%Ambiguity (Equivocation)5.6%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.2%Middle Ground0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.1%Personal Incredulity0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.1%Special Pleading0.0%This article: 5.4%Yujie Zhou: 0.5%Mission Local: 0.3%Genetic Fallacy5.4%This article: 8.3%Yujie Zhou: 2.0%Mission Local: 0.9%Unattributed Quote8.3%This article: 0.0%Yujie Zhou: 0.1%Mission Local: 1.0%Quote-first Misdirection0.0%This article: 3.2%Yujie Zhou: 0.3%Mission Local: 2.4%Biased Writer Voice3.2%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.9%Indoctrination0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%Yujie Zhou: 0.0%Mission Local: 0.5%Attempt to Sell a Product or S…0.0%

533 words analyzed.

Speakers

3speakers18%attributed speech435writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageTrack AIPAC • 44 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageanti-AIPAC advocacy group • 30 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageChakrabarti • 24 words • 0.0% coverage
Selected voice

Chakrabarti

100%flagged-word coverage
24 attributed words24% of attributed speech51% writer coverage
0%2.5%5.0%Biased Writer Voice-3.9 ptsWriter: 3.9%Chakrabarti: 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.