S.F. supervisors mandate city-funded supportive housing be drug-free ⁠39%

By Adriana Gutierrez⁠10%

7/14/2026, 6:31:56 PM

BS Summary: This article contains 28 faulty reasoning types, including Framing Effect, Availability Heuristic, and Status Quo Bias, with Negativity Bias as the most egregious example at 19.3% saturation with 101 hits. Analysis detected 1,109 faulty-reasoning hits from 524 analyzed words, generating a BS Score of 44.5% and a BS Rank of ⁠39% (13,443 of 21,887 articles). This article is better (less manipulative) than 61.40% of the article peer group.

Following a 7-4 vote to approve a controversial housing ordinance, San Francisco must now prioritize drug-free permanent supportive housing when it chooses to fully fund supportive housing projects. 
The ordinance, authored by Supervisor Matt Dorsey, will ensure that the city departs from its mostly one-track housing model, in which most of the tenants in the city’s 8,500 supportive housing units are protected from being evicted for illicit drug use. 
That protection follows the state’s “Housing First” framework, which lowers the barriers to entry into supportive housing for people exiting homelessness, whether or not they use drugs. 
Any housing project that uses state funding to operate is still held to this standard. 
But the new ordinance “bars the city” from wholly funding future permanent supportive housing projects if they allow drug use on site. 
Under the bill, residents who use illicit drugs while living in city or privately funded supportive housing could either be evicted or relocated to another housing or shelter option. 
Supervisors Shamann Walton, Connie Chan, Chyanne Chen and Jackie Fielder voted against the bill on Tuesday evening. 
Fielder led the opposition, pointing to what she called “problematic” terminology in the bill language, and voiced concern that evictions could relocate residents into shelters instead of permanent housing. 
“I fear the legislation lacks strong protocols for providing support to residents facing eviction,” Fielder said. 
“Shelter is not housing. 
Shelter is a rough place for someone struggling with substance-use disorder to be.” 
She requested an amendment to the bill removing shelters as relocation options for residents in permanent supportive housing who use illicit drugs on the premises. 
That amendment failed. 
Few San Francisco permanent supportive housing projects get built without state money. 
At present, the 42 units at 1174 Folsom St., which opened in early 2025 and was funded entirely by the city, offers the city’s only drug-free housing option. 
As a staunch advocate for “recovery-first” addiction policies, Dorsey said the new ordinance would shift away from what he considers “drug-tolerant” city policies and focus on providing stable housing options for those who are chronically homeless and facing substance use disorders. 
Dorsey has, in the past, said that if he had been living in supportive housing during his struggles with drugs and was “endangering the sobriety” of others, he would have deserved to be evicted. 
“The near universality of drug-tolerant policies in San Francisco’s PSH portfolio fails to serve the needs of many PSH residents seeking to stabilize their lives as they exit homelessness,” Dorsey’s bill reads. 
“Drug-related behaviors and associated lawlessness lead to public nuisones that routinely rob law-abiding PSH residents and neighbors of the quiet enjoyment of their own residences and neighborhoods.” 
Some housing advocates and medical professionals disagree, saying that it’s not helpful to attack the Housing First model in order to establish sober housing. 
Now that the bill has passed, Dorsey said city leaders will work to finalize the specifics. 
While there are details to be worked out with the mayor’s office and the Department of Homelessness and Supportive Housing, Dorsey said the intent is clear: “We want to give people a chance.” 
Article reasoning-pattern comparisonThis article: 11.5%Adriana Gutierrez: 2.8%Mission Local: 2.7%Confirmation Bias11.5%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.9%Anchoring Bias0.0%This article: 15.3%Adriana Gutierrez: 2.8%Mission Local: 2.9%Availability Heuristic15.3%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.9%Representativeness Heuristic0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.4%Hindsight Bias0.0%This article: 0.0%Adriana Gutierrez: 2.2%Mission Local: 1.1%Overconfidence Bias0.0%This article: 15.5%Adriana Gutierrez: 9.3%Mission Local: 4.7%Framing Effect15.5%This article: 4.2%Adriana Gutierrez: 0.5%Mission Local: 0.4%Loss Aversion4.2%This article: 12.4%Adriana Gutierrez: 2.1%Mission Local: 0.7%Status Quo Bias12.4%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.2%Sunk Cost Effect0.0%This article: 6.3%Adriana Gutierrez: 3.5%Mission Local: 2.3%Optimism Bias6.3%This article: 3.1%Adriana Gutierrez: 0.4%Mission Local: 1.3%Pessimism Bias3.1%This article: 19.3%Adriana Gutierrez: 3.7%Mission Local: 5.9%Negativity Bias19.3%This article: 7.8%Adriana Gutierrez: 2.4%Mission Local: 1.2%Self-Serving Bias7.8%This article: 6.5%Adriana Gutierrez: 1.6%Mission Local: 1.0%Fundamental Attribution Error6.5%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.2%Actor-Observer Bias0.0%This article: 4.6%Adriana Gutierrez: 0.6%Mission Local: 1.1%In-Group Bias4.6%This article: 0.0%Adriana Gutierrez: 0.6%Mission Local: 0.7%Out-Group Homogeneity Bias0.0%This article: 0.0%Adriana Gutierrez: 0.3%Mission Local: 1.4%Halo Effect0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.0%Horn Effect0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Adriana Gutierrez: 2.1%Mission Local: 1.1%Recency Bias0.0%This article: 5.3%Adriana Gutierrez: 0.7%Mission Local: 0.4%Primacy Effect5.3%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.0%Blind-Spot Bias0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 2.9%Ad Hominem0.0%This article: 7.8%Adriana Gutierrez: 1.0%Mission Local: 0.8%Straw Man7.8%This article: 4.6%Adriana Gutierrez: 1.3%Mission Local: 2.7%Appeal to Authority4.6%This article: 5.3%Adriana Gutierrez: 1.7%Mission Local: 1.6%False Dilemma5.3%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.7%Slippery Slope0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.1%Circular Reasoning0.0%This article: 10.9%Adriana Gutierrez: 5.2%Mission Local: 4.8%Hasty Generalization10.9%This article: 5.5%Adriana Gutierrez: 0.7%Mission Local: 0.2%Red Herring5.5%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.9%Bandwagon0.0%This article: 6.3%Adriana Gutierrez: 8.7%Mission Local: 3.8%Appeal to Emotion6.3%This article: 0.0%Adriana Gutierrez: 0.8%Mission Local: 0.6%Begging the Question0.0%This article: 5.2%Adriana Gutierrez: 0.6%Mission Local: 2.1%Post Hoc (False Cause)5.2%This article: 6.5%Adriana Gutierrez: 0.8%Mission Local: 0.3%Tu Quoque6.5%This article: 3.1%Adriana Gutierrez: 0.4%Mission Local: 1.1%Burden of Proof3.1%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.2%Appeal to Nature0.0%This article: 0.0%Adriana Gutierrez: 0.6%Mission Local: 0.5%Composition/Division0.0%This article: 7.8%Adriana Gutierrez: 2.2%Mission Local: 2.7%Anecdotal7.8%This article: 6.1%Adriana Gutierrez: 0.8%Mission Local: 0.2%No True Scotsman6.1%This article: 11.5%Adriana Gutierrez: 1.4%Mission Local: 1.3%Ambiguity (Equivocation)11.5%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.2%Middle Ground0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.1%Personal Incredulity0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.1%Special Pleading0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.3%Genetic Fallacy0.0%This article: 3.1%Adriana Gutierrez: 1.1%Mission Local: 1.0%Unattributed Quote3.1%This article: 5.2%Adriana Gutierrez: 0.6%Mission Local: 0.9%Quote-first Misdirection5.2%This article: 6.1%Adriana Gutierrez: 1.1%Mission Local: 2.7%Biased Writer Voice6.1%This article: 5.2%Adriana Gutierrez: 0.9%Mission Local: 0.9%Indoctrination5.2%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Adriana Gutierrez: 0.0%Mission Local: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Adriana Gutierrez: 0.2%Mission Local: 0.5%Attempt to Sell a Product or S…0.0%

524 words analyzed.

Speakers

2speakers40%attributed speech313writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageJackie Fielder • 29 words • 0.0% coverageJackie Fielder • 16 words • 100.0% coverageJackie Fielder • 4 words • 0.0% coverageJackie Fielder • 13 words • 0.0% coverageJackie Fielder • 25 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageMatt Dorsey • 41 words • 0.0% coverageMatt Dorsey • 34 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageMatt Dorsey • 16 words • 0.0% coverageMatt Dorsey • 33 words • 0.0% coverage
Selected voice

Matt Dorsey

87%flagged-word coverage
124 attributed words59% of attributed speech80% writer coverage
0%7.5%15.0%Biased Writer Voice-10.2 ptsWriter: 10.2%Matt Dorsey: 0.0%0.0%Quote-first Misdirection-8.6 ptsWriter: 8.6%Matt Dorsey: 0.0%0.0%Indoctrination-8.6 ptsWriter: 8.6%Matt Dorsey: 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.