Gavin Newsom accused of sidelining California’s tough-on-crime measure after voters’ landslide passing 66%

By Titus Wu85%

7/15/2026, 12:25:58 AM

BS Summary: This article contains 26 faulty reasoning types, including Negativity Bias, Appeal to Emotion, and Appeal to Authority, with Ambiguity (Equivocation) as the most egregious example at 42.1% saturation with 246 hits. Analysis detected 1,371 faulty-reasoning hits from 584 analyzed words, generating a BS Score of 60.5% and a BS Rank of 66% (6,950 of 20,371 articles). This article is worse (more manipulative) than 65.90% of the article peer group.

California Democrats claimed they’ve put money behind a voter-approved tough-on-crime law in Gov. 
Gavin Newsom's final state budget this year  but critics from both sides of the aisle dispute the amount and blasted the governor for brazenly ignoring the voter mandate. 
Voters overwhelmingly approved Proposition 36, which increases penalties for repeat thieves and drug dealers, in 2024. 
The prop also created an option for those convicted to get mental health or substance abuse treatment through a court-mandated treatment program. 
But Newsom, who opposed Prop. 36 over fears it would increase mass incarceration, has been reticent to allocate money for counties to fully enforce the law, critics said. 
“Californians spoke loud and clear when they overwhelmingly passed Prop. 36 to crack down on repeat thieves and drug dealers,” said Assemblymember Kate Sanchez (R). 
“Two years later, and Sacramento still hasn’t provided the funding needed to fully implement it.” 
Last year, the governor said he put aside $100 million in that budget for Prop 36, though many said that was far from sufficient to pay for the sweeping crime crackdown, which raises costs for county law enforcement agencies and service providers. 
This year, Newsom was blasted by law enforcement groups for seemingly ignoring Prop. 36 entirely in the May version of the budget. 
In the final approved budget, legislative leaders claimed they appropriated $375 million for Prop 36, but budget documents only show $50 million directly for Prop 36, aimed at probation and helping courts with increased workloads from the law. 
Newsom has claimed that funding for related initiatives should count as supporting the implementation of Prop. 
36. 
“Prop. 36 still has money from the $100 million a few years ago,” Newsom said at a budget presentation. 
“It still has the ability to attach billions of billions of dollars of new funding that has flooded the zone in all of these other areas that can be used to address the need.” 
For instance, part of that larger total is $90 million in savings from Prop 47, a soft-on-crime ballot measure that sparked the backlash for Prop 36, the Daily Journal reported. 
There’s also other funding for behavioral services and pretrial services that could assist in implementing the law. 
“This is money they’re pulling from other sources, and they’re saying it’s 36 money,” said Greg Totten, president of the California District Attorneys Association. 
“Make no mistake about it, they’re starving the funding of the initiative.” 
Even some Democrats have criticized Newsom for not appropriating completely new funding dedicated to Prop 36. 
“It is working. 
But without funding, it doesn’t go anywhere,” said Sacramento County Sheriff Jim Cooper on the measure. 
“It’s just frustrating that people are hesitant to do anything.” 
The money approved last year for Prop 36 was late as well and was slowed down by a complex distribution process, according to the California State Association of Counties. 
Newsom's slow pace to commit money ignores the will of the voters, said Assemblymember Josh Hoover (R). 
“The voters in California have made themselves clear. 
We want our leaders to prioritize public safety and safe neighborhoods,” he said. 
“Yet once again, we are being ignored.” 
The Post reached out to Newsom's office for comment. 
Newsom's office has previously swatted away any claims that Prop 36 is not being funded. 
“Prop 36 included no funding mechanism  but California funded implementation anyway, with $100 million upfront, and billions available to counties,” the governor’s office previously said. 
Article reasoning-pattern comparisonThis article: 0.0%Titus Wu: 4.8%California Post: 4.1%Confirmation Bias0.0%This article: 0.0%Titus Wu: 1.2%California Post: 1.4%Anchoring Bias0.0%This article: 7.2%Titus Wu: 3.5%California Post: 4.2%Availability Heuristic7.2%This article: 5.1%Titus Wu: 1.1%California Post: 1.1%Representativeness Heuristic5.1%This article: 0.0%Titus Wu: 0.4%California Post: 0.7%Hindsight Bias0.0%This article: 0.0%Titus Wu: 1.8%California Post: 2.2%Overconfidence Bias0.0%This article: 7.7%Titus Wu: 12.5%California Post: 10.4%Framing Effect7.7%This article: 5.8%Titus Wu: 1.1%California Post: 0.9%Loss Aversion5.8%This article: 0.0%Titus Wu: 0.3%California Post: 0.6%Status Quo Bias0.0%This article: 7.7%Titus Wu: 0.4%California Post: 0.2%Sunk Cost Effect7.7%This article: 8.7%Titus Wu: 0.4%California Post: 2.5%Optimism Bias8.7%This article: 2.7%Titus Wu: 1.4%California Post: 1.5%Pessimism Bias2.7%This article: 30.8%Titus Wu: 22.1%California Post: 16.1%Negativity Bias30.8%This article: 6.8%Titus Wu: 4.6%California Post: 2.4%Self-Serving Bias6.8%This article: 4.8%Titus Wu: 1.8%California Post: 1.5%Fundamental Attribution Error4.8%This article: 6.3%Titus Wu: 0.3%California Post: 0.2%Actor-Observer Bias6.3%This article: 5.0%Titus Wu: 2.4%California Post: 1.6%In-Group Bias5.0%This article: 0.0%Titus Wu: 1.4%California Post: 1.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Titus Wu: 0.9%California Post: 3.0%Halo Effect0.0%This article: 0.0%Titus Wu: 0.7%California Post: 0.6%Horn Effect0.0%This article: 0.0%Titus Wu: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Titus Wu: 1.6%California Post: 1.6%Recency Bias0.0%This article: 5.7%Titus Wu: 0.5%California Post: 0.5%Primacy Effect5.7%This article: 0.0%Titus Wu: 0.1%California Post: 0.0%Blind-Spot Bias0.0%This article: 6.3%Titus Wu: 4.2%California Post: 2.6%Ad Hominem6.3%This article: 0.0%Titus Wu: 0.8%California Post: 0.5%Straw Man0.0%This article: 14.4%Titus Wu: 3.4%California Post: 4.2%Appeal to Authority14.4%This article: 2.7%Titus Wu: 2.1%California Post: 1.5%False Dilemma2.7%This article: 0.0%Titus Wu: 1.3%California Post: 1.0%Slippery Slope0.0%This article: 4.5%Titus Wu: 0.3%California Post: 0.2%Circular Reasoning4.5%This article: 4.8%Titus Wu: 6.8%California Post: 5.5%Hasty Generalization4.8%This article: 0.0%Titus Wu: 1.1%California Post: 0.7%Red Herring0.0%This article: 0.0%Titus Wu: 1.0%California Post: 1.4%Bandwagon0.0%This article: 23.3%Titus Wu: 9.6%California Post: 9.0%Appeal to Emotion23.3%This article: 2.9%Titus Wu: 1.2%California Post: 1.1%Begging the Question2.9%This article: 0.0%Titus Wu: 1.7%California Post: 2.7%Post Hoc (False Cause)0.0%This article: 0.0%Titus Wu: 1.4%California Post: 0.2%Tu Quoque0.0%This article: 0.0%Titus Wu: 0.7%California Post: 0.8%Burden of Proof0.0%This article: 0.0%Titus Wu: 0.5%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Titus Wu: 0.0%California Post: 0.2%Composition/Division0.0%This article: 0.0%Titus Wu: 1.9%California Post: 3.6%Anecdotal0.0%This article: 0.0%Titus Wu: 0.0%California Post: 0.0%No True Scotsman0.0%This article: 42.1%Titus Wu: 3.2%California Post: 2.0%Ambiguity (Equivocation)42.1%This article: 0.0%Titus Wu: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 5.0%Titus Wu: 0.1%California Post: 0.1%Middle Ground5.0%This article: 0.0%Titus Wu: 0.1%California Post: 0.1%Personal Incredulity0.0%This article: 0.0%Titus Wu: 0.3%California Post: 0.2%Special Pleading0.0%This article: 0.0%Titus Wu: 1.1%California Post: 0.4%Genetic Fallacy0.0%This article: 4.5%Titus Wu: 3.9%California Post: 3.2%Unattributed Quote4.5%This article: 7.0%Titus Wu: 1.6%California Post: 2.1%Quote-first Misdirection7.0%This article: 8.6%Titus Wu: 17.4%California Post: 13.2%Biased Writer Voice8.6%This article: 4.3%Titus Wu: 0.5%California Post: 1.4%Indoctrination4.3%This article: 0.0%Titus Wu: 0.7%California Post: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Titus Wu: 3.7%California Post: 3.1%Politically Right Leaning Bias0.0%This article: 0.0%Titus Wu: 1.7%California Post: 6.0%Attempt to Sell a Product or S…0.0%

584 words analyzed.

Speakers

9speakers54%attributed speech267writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageCalifornia Democrats • 13 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageKate Sanchez • 25 words • 100.0% coverageKate Sanchez • 15 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 38 words • 0.0% coverageGavin Newsom • 16 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageGavin Newsom • 19 words • 0.0% coverageGavin Newsom • 34 words • 0.0% coverageDaily Journal • 30 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageGreg Totten • 24 words • 0.0% coverageGreg Totten • 12 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageJim Cooper • 3 words • 0.0% coverageJim Cooper • 16 words • 0.0% coverageJim Cooper • 10 words • 0.0% coverageCalifornia State Association of Counties • 29 words • 0.0% coverageJosh Hoover • 17 words • 0.0% coverageJosh Hoover • 8 words • 0.0% coverageJosh Hoover • 13 words • 0.0% coverageJosh Hoover • 7 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 15 words • 100.0% coveragegovernor’s office • 26 words • 100.0% coverage
Selected voice

governor’s office

100%flagged-word coverage
26 attributed words8.2% of attributed speech74% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%governor’s office: 100.0%100.0%Biased Writer Voice-13.9 ptsWriter: 13.9%governor’s office: 0.0%0.0%Quote-first Misdirection-10.9 ptsWriter: 10.9%governor’s office: 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.