New Yorkers Should Take Precautions Amid Wildfire Smoke  Especially Older Adults, People With Asthma 68%

By Jeanmarie Evelly44%

7/15/2026, 2:38:39 PM

BS Summary: This article contains 16 faulty reasoning types, including Attempt to Sell a Product or Service, Overconfidence Bias, and Availability Heuristic, with Indoctrination as the most egregious example at 41.4% saturation with 260 hits. Analysis detected 1,025 faulty-reasoning hits from 628 analyzed words, generating a BS Score of 61.4% and a BS Rank of 68% (7,068 of 21,887 articles). This article is worse (more manipulative) than 67.70% of the article peer group.

“This will likely be a prolonged event, and we might see even worse air quality tomorrow,” State Department of Environmental Conservation Commissioner Amanda Lefton told reporters Wednesday. 
The city and state will be distributing masks at certain locations this week to protect residents from the pollution. 
(Photo: Jiri Hera/Shutterstock) 
Smoke drifting south from Canadian wildfires is causing unhealthy air quality in New York this week and could worsen in the coming days, according to officials, who urged residents to take precautions to protect themselves. 
New York City’s Air Quality Index was updated Wednesday afternoon from “unhealthy for sensitive groups” to “unhealthy for everyone,” according to the city’s emergency alert system. 
That means everyone should try to limit “strenuous outdoor activity” and take extra breaks if they’re outside, the city said. 
New Yorkers who are more vulnerable to the effects of pollution—including seniors, children, and those with heart disease, asthma or other lung conditions—should avoid doing “strenuous outdoor activity” altogether. 
“This will likely be a prolonged event, and we might see even worse air quality tomorrow. 
So please take precautions,” State Department of Environmental Conservation Commissioner Amanda Lefton told reporters Wednesday. 
The best way to do that, she said, is for people to look up conditions near them by entering their address or zip code online at airnow.gov , and to keep checking regularly. 
“We’re going to see the smoke coming in in waves. 
At some parts of the day, it might be worse than other parts of the day,” Lefton said. 
“So, in addition to checking in the morning, check throughout the day, especially before you go outside, before you do any strenuous activity.” 
The deteriorating air comes as the city is already struggling amid a heat wave (find a list of air-conditioned public cooling centers, and their operating hours, here ). 
In addition to staying indoors, officials said residents can help minimize their exposure by keeping their doors and windows closed and avoiding activities that cause even more indoor pollution, like smoking, vaping or burning candles. 
When heading outside, people can wear KN95 or N95 masks, which the city is giving out at public libraries, firehouses and police precincts (find a map of locations here ). 
The MTA also has workers handing masks out to commuters passing through Grand Central and Penn Station. 
“These are effective at really eliminating your exposure to” particulate matter, one of the hazardous pollutants present in the smoke, said Jim McDonald, the state’s acting health commissioner. 
Masks, however, don’t block toxic gas like ozone. 
“But it’s another tool you have in your toolbox,” he added, saying residents should be on the lookout for symptoms like congestion, cough or watery eyes. 
Officials said they’ll be monitoring whether the poor air this week correlates with an uptick in asthma-related emergency room visits, as was the case during an earlier air quality crisis in June of 2023, when wildfire smoke—also from Canada— turned the city’s sky orange. 
“We don’t think the adverse air quality is going to be as bad as June of 2023, but we have to wait. 
It’s a dynamic situation here,” McDonald said. 
Hotter and drier weather linked to climate change is fueling “longer fire seasons,” Lefton said, “something that we need to be very careful and mindful of in the future.” 
“We’re seeing drier conditions across the country and in North America generally, and that can mean that we’re seeing increased wildfire smoke,” she said. 
To reach the editor, contact Jeanmarie@citylimits.org 
Want to republish this story? 
Find City Limits’ reprint policy here . 
The post New Yorkers Should Take Precautions Amid Wildfire Smoke  Especially Older Adults, People With Asthma appeared first on City Limits . 
Article reasoning-pattern comparisonThis article: 5.6%Jeanmarie Evelly: 4.4%City Limits: 3.9%Confirmation Bias5.6%This article: 5.7%Jeanmarie Evelly: 1.2%City Limits: 1.0%Anchoring Bias5.7%This article: 12.6%Jeanmarie Evelly: 3.2%City Limits: 3.2%Availability Heuristic12.6%This article: 0.0%Jeanmarie Evelly: 0.9%City Limits: 1.2%Representativeness Heuristic0.0%This article: 0.0%Jeanmarie Evelly: 0.4%City Limits: 0.4%Hindsight Bias0.0%This article: 13.5%Jeanmarie Evelly: 1.4%City Limits: 1.2%Overconfidence Bias13.5%This article: 7.0%Jeanmarie Evelly: 5.2%City Limits: 5.9%Framing Effect7.0%This article: 7.3%Jeanmarie Evelly: 1.0%City Limits: 1.2%Loss Aversion7.3%This article: 0.0%Jeanmarie Evelly: 1.1%City Limits: 1.0%Status Quo Bias0.0%This article: 0.0%Jeanmarie Evelly: 0.4%City Limits: 0.3%Sunk Cost Effect0.0%This article: 3.5%Jeanmarie Evelly: 4.4%City Limits: 4.0%Optimism Bias3.5%This article: 9.7%Jeanmarie Evelly: 2.0%City Limits: 1.9%Pessimism Bias9.7%This article: 9.1%Jeanmarie Evelly: 8.8%City Limits: 8.6%Negativity Bias9.1%This article: 0.0%Jeanmarie Evelly: 0.6%City Limits: 0.8%Self-Serving Bias0.0%This article: 0.0%Jeanmarie Evelly: 1.0%City Limits: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Jeanmarie Evelly: 0.1%City Limits: 0.1%Actor-Observer Bias0.0%This article: 0.0%Jeanmarie Evelly: 1.1%City Limits: 1.0%In-Group Bias0.0%This article: 0.0%Jeanmarie Evelly: 0.2%City Limits: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Jeanmarie Evelly: 1.4%City Limits: 1.4%Halo Effect0.0%This article: 0.0%Jeanmarie Evelly: 0.1%City Limits: 0.1%Horn Effect0.0%This article: 0.0%Jeanmarie Evelly: 0.0%City Limits: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jeanmarie Evelly: 1.0%City Limits: 1.1%Recency Bias0.0%This article: 0.0%Jeanmarie Evelly: 0.4%City Limits: 0.4%Primacy Effect0.0%This article: 1.1%Jeanmarie Evelly: 0.1%City Limits: 0.1%Blind-Spot Bias1.1%This article: 0.0%Jeanmarie Evelly: 0.6%City Limits: 0.6%Ad Hominem0.0%This article: 0.0%Jeanmarie Evelly: 0.1%City Limits: 0.2%Straw Man0.0%This article: 8.6%Jeanmarie Evelly: 4.1%City Limits: 4.2%Appeal to Authority8.6%This article: 0.0%Jeanmarie Evelly: 2.0%City Limits: 2.1%False Dilemma0.0%This article: 0.0%Jeanmarie Evelly: 0.4%City Limits: 0.4%Slippery Slope0.0%This article: 0.0%Jeanmarie Evelly: 0.4%City Limits: 0.3%Circular Reasoning0.0%This article: 0.0%Jeanmarie Evelly: 3.6%City Limits: 3.6%Hasty Generalization0.0%This article: 0.0%Jeanmarie Evelly: 0.3%City Limits: 0.2%Red Herring0.0%This article: 0.0%Jeanmarie Evelly: 0.5%City Limits: 0.5%Bandwagon0.0%This article: 0.0%Jeanmarie Evelly: 5.7%City Limits: 6.2%Appeal to Emotion0.0%This article: 0.0%Jeanmarie Evelly: 1.3%City Limits: 1.2%Begging the Question0.0%This article: 10.8%Jeanmarie Evelly: 2.5%City Limits: 2.5%Post Hoc (False Cause)10.8%This article: 0.0%Jeanmarie Evelly: 0.1%City Limits: 0.1%Tu Quoque0.0%This article: 0.0%Jeanmarie Evelly: 0.5%City Limits: 0.4%Burden of Proof0.0%This article: 0.0%Jeanmarie Evelly: 0.1%City Limits: 0.1%Appeal to Nature0.0%This article: 0.0%Jeanmarie Evelly: 0.3%City Limits: 0.4%Composition/Division0.0%This article: 0.0%Jeanmarie Evelly: 2.9%City Limits: 3.4%Anecdotal0.0%This article: 0.0%Jeanmarie Evelly: 0.2%City Limits: 0.1%No True Scotsman0.0%This article: 0.0%Jeanmarie Evelly: 0.9%City Limits: 0.9%Ambiguity (Equivocation)0.0%This article: 0.0%Jeanmarie Evelly: 0.0%City Limits: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jeanmarie Evelly: 0.2%City Limits: 0.2%Middle Ground0.0%This article: 0.0%Jeanmarie Evelly: 0.0%City Limits: 0.0%Personal Incredulity0.0%This article: 0.0%Jeanmarie Evelly: 0.1%City Limits: 0.1%Special Pleading0.0%This article: 0.0%Jeanmarie Evelly: 0.0%City Limits: 0.1%Genetic Fallacy0.0%This article: 2.5%Jeanmarie Evelly: 0.8%City Limits: 0.9%Unattributed Quote2.5%This article: 2.5%Jeanmarie Evelly: 0.8%City Limits: 0.9%Quote-first Misdirection2.5%This article: 0.0%Jeanmarie Evelly: 5.0%City Limits: 5.1%Biased Writer Voice0.0%This article: 41.4%Jeanmarie Evelly: 5.1%City Limits: 4.7%Indoctrination41.4%This article: 0.0%Jeanmarie Evelly: 2.7%City Limits: 2.8%Politically Left Leaning Bias0.0%This article: 0.0%Jeanmarie Evelly: 0.0%City Limits: 0.1%Politically Right Leaning Bias0.0%This article: 22.1%Jeanmarie Evelly: 0.5%City Limits: 0.7%Attempt to Sell a Product or S…22.1%

628 words analyzed.

Speakers

4speakers56%attributed speech279writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 15 words • 100.0% coverageAmanda Lefton • 27 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageNew York City’s emergency alert system • 26 words • 0.0% coverageNew York City’s emergency alert system • 20 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverageAmanda Lefton • 16 words • 100.0% coverageAmanda Lefton • 15 words • 100.0% coverageAmanda Lefton • 33 words • 100.0% coverageAmanda Lefton • 10 words • 0.0% coverageAmanda Lefton • 18 words • 0.0% coverageAmanda Lefton • 23 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageMTA • 17 words • 100.0% coverageJim McDonald • 28 words • 0.0% coverageJim McDonald • 8 words • 0.0% coverageJim McDonald • 26 words • 100.0% coverageWriter's voice • 44 words • 0.0% coverageJim McDonald • 22 words • 0.0% coverageJim McDonald • 7 words • 0.0% coverageAmanda Lefton • 29 words • 100.0% coverageAmanda Lefton • 24 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverage
Selected voice

Jim McDonald

91%flagged-word coverage
91 attributed words26% of attributed speech89% writer coverage
0%22.5%45.0%Indoctrination-12.3 ptsWriter: 40.9%Jim McDonald: 28.6%28.6%Attempt to Sell a Product -31.9 ptsWriter: 31.9%Jim McDonald: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.