Conviction tossed in $1 million Bay Area COVID fraud case over juror bias 21%

By Adam Ashton16%

7/23/2026, 11:58:00 AM

BS Summary: This article contains 15 faulty reasoning types, including Framing Effect, Biased Writer Voice, and Unattributed Quote, with Negativity Bias as the most egregious example at 17.4% saturation with 67 hits. Analysis detected 460 faulty-reasoning hits from 385 analyzed words, generating a BS Score of 34.9% and a BS Rank of 21% (17,418 of 21,886 articles). This article is better (less manipulative) than 79.60% of the article peer group.

Atilla Colar in 2023 was convicted on 44 felony charges related to an alleged COVID benefit fraud scheme at a Bay Area parolee rehabilitation program. 
Three years ago a federal jury threw the book at a man who allegedly carried out a $1 million COVID fraud scheme while running a rehab home for parolees under a state program. 
He was sentenced to 17 years in prison. 
Attila Colar’s conviction fell apart this week when the 9th Circuit Court of Appeals found the judge in the case allowed a juror with a disqualifying bias to participate in the trial. 
CalMatters exposed Colar’s Bay Area operation , called All Hands on Deck, in a 2023 investigation into parolee rehabilitation programs. 
The investigation showed California had spent hundreds of millions of dollars on the programs, but couldn’t say whether they helped anyone find a job or stay away from crime. 
Colar was convicted on 44 felony counts of defrauding the Paycheck Protection Program and attempting to obstruct a federal investigation. 
Colar, who is Black and Muslim, represented himself during parts of his trial. 
He asked jurors if they believed “law enforcement has a history of persecuting Black religious organizations,” according to the 9th Circuit. 
Colar also made statements to prospective jurors suggesting he believed he was unfairly targeted by law enforcement. 
One juror reacted negatively to those statements, saying when Colar spoke, “all that came out was discrimination, conspiracy theories, and police corruption.” 
The juror told the judge he could be impartial and had his own personal experiences with discrimination, but expressed strong skepticism to Colar’s claims of police bias and corruption. 
Colar contested the juror’s participation, but the judge allowed him to stay. 
Three weeks later, the jury handed up its guilty verdict. 
The 9th Circuit found the juror who reacted to Colar’s discrimination claim should have been removed. 
The appeals court noted the man’s views “were rooted in his personal experience and emotion, and he told the court in plain terms that he would not be able to set them aside.” 
The 9th Circuit order allows for prosecutors to put Colar on trial again. 
The U.S. 
Attorney’s Office for Northern California has not yet responded to a request for comment about the decision. 
Article reasoning-pattern comparisonThis article: 8.3%Adam Ashton: 5.3%CalMatters: 2.5%Confirmation Bias8.3%This article: 2.1%Adam Ashton: 0.7%CalMatters: 0.9%Anchoring Bias2.1%This article: 0.0%Adam Ashton: 0.0%CalMatters: 2.4%Availability Heuristic0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.4%Hindsight Bias0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.8%Overconfidence Bias0.0%This article: 15.1%Adam Ashton: 5.0%CalMatters: 5.7%Framing Effect15.1%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.8%Loss Aversion0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.6%Status Quo Bias0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.9%Optimism Bias0.0%This article: 7.5%Adam Ashton: 2.5%CalMatters: 2.0%Pessimism Bias7.5%This article: 17.4%Adam Ashton: 9.6%CalMatters: 8.0%Negativity Bias17.4%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.6%Self-Serving Bias0.0%This article: 4.4%Adam Ashton: 1.5%CalMatters: 1.0%Fundamental Attribution Error4.4%This article: 0.0%Adam Ashton: 1.5%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 3.4%Adam Ashton: 1.1%CalMatters: 0.8%In-Group Bias3.4%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.4%Halo Effect0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%Horn Effect0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 6.0%Adam Ashton: 2.0%CalMatters: 1.1%Recency Bias6.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.2%Primacy Effect0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.3%Straw Man0.0%This article: 4.2%Adam Ashton: 1.4%CalMatters: 3.2%Appeal to Authority4.2%This article: 7.5%Adam Ashton: 2.5%CalMatters: 1.0%False Dilemma7.5%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.3%Slippery Slope0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Adam Ashton: 3.7%CalMatters: 3.7%Hasty Generalization0.0%This article: 3.4%Adam Ashton: 1.1%CalMatters: 0.1%Red Herring3.4%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.4%Bandwagon0.0%This article: 5.7%Adam Ashton: 6.6%CalMatters: 5.3%Appeal to Emotion5.7%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.8%Begging the Question0.0%This article: 8.3%Adam Ashton: 2.8%CalMatters: 2.7%Post Hoc (False Cause)8.3%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%Tu Quoque0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.4%Burden of Proof0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.8%Anecdotal0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.0%Personal Incredulity0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.3%Special Pleading0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 11.2%Adam Ashton: 3.7%CalMatters: 0.9%Unattributed Quote11.2%This article: 0.0%Adam Ashton: 1.9%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 15.1%Adam Ashton: 9.6%CalMatters: 3.3%Biased Writer Voice15.1%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.0%Indoctrination0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Adam Ashton: 0.0%CalMatters: 1.0%Attempt to Sell a Product or S…0.0%

385 words analyzed.

Speakers

3speakers28%attributed speech278writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageCalMatters • 20 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverage9th Circuit Court of Appeals • 21 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverage9th Circuit Court of Appeals • 16 words • 0.0% coverage9th Circuit Court of Appeals • 33 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageU.S. Attorney’s Office for Northern California • 17 words • 0.0% coverage
53%flagged-word coverage
70 attributed words65% of attributed speech73% writer coverage
0%15.0%30.0%Unattributed Quote+22.1 ptsWriter: 7.9%9th Circuit Court of Appeals: 30.0%30.0%Biased Writer Voice-20.9 ptsWriter: 20.9%9th Circuit Court of Appeals: 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.