KQED61%

Could San Francisco Ban Smoking on Bar Patios? 33%

By Desmond Meagley0%

5/16/2026, 12:00:01 PM

BS Summary: This article contains 22 faulty reasoning types, including Confirmation Bias, Anecdotal, and Self-Serving Bias, with Appeal to Authority as the most egregious example at 10.8% saturation with 76 hits. Analysis detected 836 faulty-reasoning hits from 705 analyzed words, generating a BS Score of 41.7% and a BS Rank of 33% (14,228 of 21,188 articles). This article is better (less manipulative) than 67.10% of the article peer group.

Bar patios are one of the few remaining places San Franciscans can legally smoke in public. 
But on Monday, a committee of city supervisors will consider eliminating the exception for patio smoking, and join over 50 other cities in the Bay Area with similar bans. 
The proposal has sparked a heated debate between patrons and bar owners, who say their businesses are already hurting, and public health experts  who say anti-smoking laws have played a significant role in reducing tobacco consumption from 42% to less than 15% nationally, since the 1960s. 
 Rather than allowing or even encouraging this behavior, we should take every effort to try to educate the public, and to try to protect both the customers as well as the employees of these establishments,” Dr. 
John Maa, a surgeon at Chinese Hospital, said. 
“We want to reduce their risks of heart disease, of stroke, and of cancers.” 
Maa is the former president of the San Francisco Marin Medical Society, which co-sponsored the proposal, along with major medical groups such as the American Heart Association and the American Lung Association. 
Maa said the ban builds off of a 2014 city law, which prohibited outdoor smoking at restaurants, but granted an exception for bars and taverns with outdoor patios after pushback from bar owners. 
That pushback has carried over into this fight: more than 2,000 small business owners and residents have signed an online petition opposing the ban. 
“While we respect the Board’s concern for public health, we believe this legislation is misguided in its scope, timing, and priorities  and we urge the Board to reject it,” the petition reads. 
Lex Montiel, who owns and operates the San Francisco Eagle, said he’s worried about the indirect impact the ordinance would have on business. 
The Eagle is a historic leather bar in SoMa, with a large covered patio  an important draw for customers, many of whom enjoy cigars and cigarettes in the space, Montiel said. 
Since COVID, the bar’s economic position has been tenuous, he said, and his clientele relies on the covered patio to provide them a space to dress freely and socialize with others in the community. 
“If [a customer] is smoking and we have to push them out to the street on a jockstrap, we definitely would lose that customer,” he said. 
“We will not be able to offer a safe space.” 
Montiel said the city is “overreaching” with the ban. 
While the health of his clientele and his employees is important to him, he said, he doubts that his employees are exposed to dangerous levels of secondhand smoke while at work. 
Montiel said that he hasn’t received complaints, and he is “very, very strict” about preventing smoking and vaping inside the bar. 
Maa said Montiel’s claims, and other arguments against the ban, are based on misinformation. 
He pointed to decades of public health research, which shows that whenever someone smokes outside, others around them risk inhaling particles in concentrations that can increase the risk of disease. 
He also said the tobacco industry has “targeted” the LGBTQ+ community and other minority groups in their marketing, and credited the San Francisco-based nonprofit LGBTQ Minus Tobacco for their contributions to “championing” the ban. 
“It’s only a small incremental step forward  that over 400 cities in America have already done,” he said. 
“San Francisco is simply trying to catch up with the rest of the nation here.” 
Though Maa said, it’s hard to evaluate whether changing the law will also change the behavior of existing smokers. 
Supervisor Myrna Melgar, who wrote and sponsored the legislation, said she knows her proposal has been controversial. 
“As with all things in San Francisco, everybody has an opinion,” she said. 
Some of the messages she’s received, however, have been  very personal, very toxic” and, in some cases, threatening. 
She told KQED that she empathizes with the concerns of both smokers and business owners, but nonetheless, “there’s no question” that “secondhand smoke causes cancer.” 
The bill faces its first hurdle in front of the city’s Land Use and Transportation Committee on May 18. 
To pass, it must be approved by at least two members of the committee. 
Article reasoning-pattern comparisonThis article: 10.2%Desmond Meagley: 1.7%CalMatters: 1.9%Confirmation Bias10.2%This article: 0.0%Desmond Meagley: 0.1%CalMatters: 0.9%Anchoring Bias0.0%This article: 3.0%Desmond Meagley: 2.0%CalMatters: 3.0%Availability Heuristic3.0%This article: 0.0%Desmond Meagley: 0.5%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 0.0%Desmond Meagley: 1.5%CalMatters: 0.5%Hindsight Bias0.0%This article: 1.4%Desmond Meagley: 1.7%CalMatters: 1.2%Overconfidence Bias1.4%This article: 5.2%Desmond Meagley: 1.8%CalMatters: 6.3%Framing Effect5.2%This article: 3.3%Desmond Meagley: 0.5%CalMatters: 1.0%Loss Aversion3.3%This article: 6.8%Desmond Meagley: 1.2%CalMatters: 0.7%Status Quo Bias6.8%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 0.0%Desmond Meagley: 3.9%CalMatters: 3.5%Optimism Bias0.0%This article: 3.7%Desmond Meagley: 1.3%CalMatters: 1.4%Pessimism Bias3.7%This article: 4.0%Desmond Meagley: 1.8%CalMatters: 6.4%Negativity Bias4.0%This article: 9.2%Desmond Meagley: 2.6%CalMatters: 1.7%Self-Serving Bias9.2%This article: 0.0%Desmond Meagley: 0.7%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 6.7%Desmond Meagley: 1.9%CalMatters: 1.7%In-Group Bias6.7%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Desmond Meagley: 3.8%CalMatters: 2.7%Halo Effect0.0%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Desmond Meagley: 0.3%CalMatters: 0.9%Recency Bias0.0%This article: 2.1%Desmond Meagley: 0.1%CalMatters: 0.3%Primacy Effect2.1%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 2.0%Desmond Meagley: 0.4%CalMatters: 0.6%Ad Hominem2.0%This article: 0.0%Desmond Meagley: 0.1%CalMatters: 0.2%Straw Man0.0%This article: 10.8%Desmond Meagley: 3.6%CalMatters: 3.1%Appeal to Authority10.8%This article: 0.0%Desmond Meagley: 0.1%CalMatters: 1.1%False Dilemma0.0%This article: 0.0%Desmond Meagley: 0.4%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Desmond Meagley: 0.4%CalMatters: 0.1%Circular Reasoning0.0%This article: 6.7%Desmond Meagley: 2.9%CalMatters: 3.6%Hasty Generalization6.7%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.2%Red Herring0.0%This article: 6.1%Desmond Meagley: 2.6%CalMatters: 0.7%Bandwagon6.1%This article: 7.4%Desmond Meagley: 3.8%CalMatters: 5.3%Appeal to Emotion7.4%This article: 3.5%Desmond Meagley: 0.4%CalMatters: 0.6%Begging the Question3.5%This article: 0.0%Desmond Meagley: 1.5%CalMatters: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Desmond Meagley: 0.9%CalMatters: 0.1%Tu Quoque0.0%This article: 4.4%Desmond Meagley: 0.3%CalMatters: 0.3%Burden of Proof4.4%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Desmond Meagley: 0.4%CalMatters: 0.2%Composition/Division0.0%This article: 9.4%Desmond Meagley: 1.6%CalMatters: 3.1%Anecdotal9.4%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 0.0%Desmond Meagley: 0.1%CalMatters: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 2.7%Desmond Meagley: 0.2%CalMatters: 0.1%Middle Ground2.7%This article: 0.0%Desmond Meagley: 0.3%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Desmond Meagley: 0.6%CalMatters: 0.1%Special Pleading0.0%This article: 4.8%Desmond Meagley: 0.3%CalMatters: 0.1%Genetic Fallacy4.8%This article: 0.0%Desmond Meagley: 0.3%CalMatters: 0.8%Unattributed Quote0.0%This article: 5.2%Desmond Meagley: 0.8%CalMatters: 0.6%Quote-first Misdirection5.2%This article: 0.0%Desmond Meagley: 1.3%CalMatters: 3.1%Biased Writer Voice0.0%This article: 0.0%Desmond Meagley: 1.3%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%Desmond Meagley: 1.0%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Desmond Meagley: 0.0%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Desmond Meagley: 2.4%CalMatters: 1.2%Attempt to Sell a Product or S…0.0%

705 words analyzed.

Speakers

4speakers66%attributed speech241writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 47 words • 0.0% coverageDr. • 37 words • 100.0% coverageJohn Maa • 8 words • 0.0% coverageJohn Maa • 14 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageJohn Maa • 33 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageLex Montiel • 23 words • 0.0% coverageLex Montiel • 32 words • 0.0% coverageLex Montiel • 34 words • 0.0% coverageLex Montiel • 26 words • 0.0% coverageLex Montiel • 10 words • 0.0% coverageLex Montiel • 9 words • 0.0% coverageLex Montiel • 31 words • 0.0% coverageLex Montiel • 21 words • 0.0% coverageJohn Maa • 14 words • 0.0% coverageJohn Maa • 30 words • 0.0% coverageJohn Maa • 34 words • 0.0% coverageJohn Maa • 19 words • 0.0% coverageJohn Maa • 15 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageMyrna Melgar • 17 words • 0.0% coverageMyrna Melgar • 13 words • 0.0% coverageMyrna Melgar • 19 words • 0.0% coverageMyrna Melgar • 25 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverage
Selected voice

Dr.

100%flagged-word coverage
37 attributed words8.0% of attributed speech45% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Dr.: 100.0%100.0%

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.