Should grizzly bears roam California again? 31%

By Lynn La24%

7/23/2026, 1:00:00 PM

BS Summary: This article contains 24 faulty reasoning types, including Appeal to Emotion, Unattributed Quote, and Optimism Bias, with Negativity Bias as the most egregious example at 15.8% saturation with 167 hits. Analysis detected 978 faulty-reasoning hits from 1,057 analyzed words, generating a BS Score of 40.9% and a BS Rank of 31% (14,168 of 20,515 articles). This article is better (less manipulative) than 69.10% of the article peer group.

Though it’s emblazoned on our state flag, the last California grizzly bear died more than a century ago. 
Now, a group of Democratic lawmakers wants to consider bringing back the species in the state  despite misgivings from communities that would be the most vulnerable to bear attacks if they return. 
As CalMatters’ Ryan Sabalow explains, California was home to as many as 10,000 grizzly bears before the Gold Rush. 
But systematic extermination by settlers wiped out the species in the state. 
After passing through the state Senate, a bill before the Assembly would direct the state’s Department of Fish and Wildlife to examine the feasibility of reintroducing the apex predator. 
Tribes, environmentalists and animal welfare organizations support the bill, arguing that the bears improve the ecosystem and reintroducing them would right an ecological wrong. 
Tiana Williams-Claussen , director of the Yurok Tribe’s wildlife department: “I can see the ways in which my homeland has suffered from the loss of iconic species such as the grizzly, and that this loss lingers in our heart and in the attenuation of a millennia-old relationship.” 
The bill’s Democratic author and coauthors represent predominantly urban districts in Southern California  a sharp contrast to the rural communities, ranchers and hunting groups that oppose the bill. 
These critics, along with nearly all Republican senators who voted against the measure, say it’s preposterous to consider reintroducing an aggressive, apex predator to California  especially in rural places already overwhelmed with conflicts with other predators, such as mountain lions and wolves. 
It would also be cruel to the grizzlies, “who don’t have any say in it,” said Elizabeth Washoe, a Native American from Modoc County. 
Washoe: “Where they’re at, they’re living a pretty good life, and we’d take them and put them here in a landscape that is so dramatically changed from what it was the last time that the bears were truly living a good life here. 
 It feels egotistical.” 
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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 contract. 
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 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, who is Black and Muslim, represented himself during parts of his trial. 
He made statements to prospective jurors suggesting he believed he was unfairly targeted by law enforcement because of his race and religious beliefs. 
One juror reacted negatively to those statements, saying when Colar spoke, “all that came out was discrimination, conspiracy theories, and police corruption.” 
The 9th Circuit found the juror 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.” 
What to do with leftover school AC money 
School officials show an HVAC unit inside a classroom at West Hollywood Elementary School in West Hollywood on March 18, 2021. 
Photo by Al Seib, Los Angeles Times via Getty Images 
California is sitting on $200 million once earmarked for school air conditioners and heating systems  and a fight is underway to claim it , writes CalMatters’ Alejandra Reyes-Velarde. 
On one side, schools say they should get the money. 
It was meant for them, after all, when lawmakers created a program in 2020 to pay for HVAC replacements with money raised from utility companies. 
Keith Butler , deputy superintendent of Torrance Unified School District: “This was money that was pulled back unjustifiably. 
This is a good use of funds that has been set aside already  we just wanted it to go back out to finish the work.” 
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Photo via California State University 
Tomás Morales, the outgoing president of California State University, San Bernardino, will secure a $340,000 salary from Cal State as he transitions to another job consulting for the university system. 
Morales was at the center of a $12 million lawsuit settlement, in which two female former administrators accused him of gender-based discrimination and retaliation. 
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Article reasoning-pattern comparisonThis article: 2.3%Lynn La: 1.3%CalMatters: 2.6%Confirmation Bias2.3%This article: 0.0%Lynn La: 0.6%CalMatters: 0.9%Anchoring Bias0.0%This article: 0.0%Lynn La: 2.7%CalMatters: 2.3%Availability Heuristic0.0%This article: 0.0%Lynn La: 0.7%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 3.0%Lynn La: 0.3%CalMatters: 0.4%Hindsight Bias3.0%This article: 2.8%Lynn La: 0.3%CalMatters: 0.9%Overconfidence Bias2.8%This article: 4.4%Lynn La: 5.2%CalMatters: 5.8%Framing Effect4.4%This article: 0.0%Lynn La: 0.9%CalMatters: 0.8%Loss Aversion0.0%This article: 0.0%Lynn La: 0.7%CalMatters: 0.6%Status Quo Bias0.0%This article: 0.0%Lynn La: 0.2%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 4.7%Lynn La: 1.2%CalMatters: 2.0%Optimism Bias4.7%This article: 0.4%Lynn La: 1.8%CalMatters: 1.9%Pessimism Bias0.4%This article: 15.8%Lynn La: 9.0%CalMatters: 7.7%Negativity Bias15.8%This article: 4.2%Lynn La: 1.9%CalMatters: 1.7%Self-Serving Bias4.2%This article: 2.2%Lynn La: 1.3%CalMatters: 1.0%Fundamental Attribution Error2.2%This article: 0.0%Lynn La: 0.1%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 2.7%Lynn La: 0.9%CalMatters: 0.8%In-Group Bias2.7%This article: 4.1%Lynn La: 0.4%CalMatters: 0.3%Out-Group Homogeneity Bias4.1%This article: 1.0%Lynn La: 0.9%CalMatters: 1.5%Halo Effect1.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%Horn Effect0.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 3.2%Lynn La: 0.5%CalMatters: 1.0%Recency Bias3.2%This article: 0.0%Lynn La: 0.2%CalMatters: 0.2%Primacy Effect0.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Lynn La: 0.8%CalMatters: 0.6%Ad Hominem0.0%This article: 4.1%Lynn La: 0.2%CalMatters: 0.3%Straw Man4.1%This article: 2.5%Lynn La: 3.5%CalMatters: 3.3%Appeal to Authority2.5%This article: 0.9%Lynn La: 1.1%CalMatters: 1.0%False Dilemma0.9%This article: 0.0%Lynn La: 0.8%CalMatters: 1.3%Slippery Slope0.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 0.0%Lynn La: 3.8%CalMatters: 3.8%Hasty Generalization0.0%This article: 0.0%Lynn La: 0.1%CalMatters: 0.1%Red Herring0.0%This article: 0.9%Lynn La: 0.5%CalMatters: 0.4%Bandwagon0.9%This article: 11.6%Lynn La: 6.3%CalMatters: 5.3%Appeal to Emotion11.6%This article: 1.7%Lynn La: 0.4%CalMatters: 0.7%Begging the Question1.7%This article: 2.3%Lynn La: 2.2%CalMatters: 2.6%Post Hoc (False Cause)2.3%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%Tu Quoque0.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.5%Burden of Proof0.0%This article: 0.0%Lynn La: 0.2%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Lynn La: 0.1%CalMatters: 0.2%Composition/Division0.0%This article: 4.7%Lynn La: 2.1%CalMatters: 1.9%Anecdotal4.7%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 0.0%Lynn La: 1.1%CalMatters: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lynn La: 0.2%CalMatters: 0.1%Middle Ground0.0%This article: 0.0%Lynn La: 0.0%CalMatters: 0.0%Personal Incredulity0.0%This article: 0.0%Lynn La: 0.2%CalMatters: 0.4%Special Pleading0.0%This article: 0.0%Lynn La: 0.2%CalMatters: 0.0%Genetic Fallacy0.0%This article: 7.6%Lynn La: 2.3%CalMatters: 0.9%Unattributed Quote7.6%This article: 2.1%Lynn La: 1.5%CalMatters: 0.7%Quote-first Misdirection2.1%This article: 0.0%Lynn La: 4.4%CalMatters: 3.2%Biased Writer Voice0.0%This article: 0.0%Lynn La: 2.1%CalMatters: 0.9%Indoctrination0.0%This article: 0.0%Lynn La: 0.5%CalMatters: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Lynn La: 0.1%CalMatters: 0.2%Politically Right Leaning Bias0.0%This article: 3.2%Lynn La: 3.9%CalMatters: 1.0%Attempt to Sell a Product or S…3.2%

1057 words analyzed.

Speakers

4speakers20%attributed speech845writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageTiana Williams-Claussen • 47 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageElizabeth Washoe • 24 words • 0.0% coverageElizabeth Washoe • 43 words • 0.0% coverageElizabeth Washoe • 4 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageKeith Butler • 18 words • 0.0% coverageKeith Butler • 26 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageJim Newton • 50 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverage
Selected voice

Jim Newton

100%flagged-word coverage
50 attributed words24% of attributed speech60% writer coverage
0%2.5%5.0%Attempt to Sell a Product -4.0 ptsWriter: 4.0%Jim Newton: 0.0%0.0%Unattributed Quote-3.9 ptsWriter: 3.9%Jim Newton: 0.0%0.0%Quote-first Misdirection-2.6 ptsWriter: 2.6%Jim Newton: 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.