amny.com43%

Water woes: NYC cleans up, dries out after torrential storms trigger flooding across the Big Apple 45%

By Barbara Russo-Lennon42%

7/19/2026, 4:27:09 PM

BS Summary: This article contains 22 faulty reasoning types, including Availability Heuristic, Loss Aversion, and Appeal to Authority, with Negativity Bias as the most egregious example at 46.2% saturation with 313 hits. Analysis detected 1,730 faulty-reasoning hits from 678 analyzed words, generating a BS Score of 47.3% and a BS Rank of 45% (12,243 of 21,886 articles). This article is better (less manipulative) than 55.90% of the article peer group.

The big clean-up began on Sunday after severe weather brought torrential rain that flooded local streets and highways, disrupted subway service, and caused property damage across the region. 
Rain pummeled the five boroughs on Saturday after days of extreme heat and unhealthy air from Canadian wildfire smoke. 
Two to four inches of rain covered the city by the afternoon, according to the National Weather Service . 
Battery Park in Lower Manhattan was hit with a whopping 3.28 inches just before 10 p.m. on July 18. 
At one point during the storm, JFK Airport received 1.35 inches of rain. 
A flood watch remained in effect until around 2 a.m. on Sunday morning, as strong storms brought damaging wind gusts to parts of the city. 
Severe flooding submerged sections of major roadways, prompting temporary closures of the Long Island Expressway, Clearview Expressway and parts of the BQE. 
City officials urged motorists to avoid travel as emergency crews responded to flooded underpasses, stalled vehicles and hazardous road conditions. 
On-the-spot photos and videos of vehicles submerged in localized floods and people being rescued from flood waters were all over social media by Saturday night. 
In one dramatic scene, an FDNY truck raced through flood waters in Queens to rescue stranded drivers who needed to be brought to safety. 
ABC 7 got footage of the heroic rescue. 
In Queens, a firetruck had to drive through water deep enough to float an SUV so firefighters could rescue drivers stranded on the hood of a truck. 
More: https://t.co/Ldm4RLDfiA pic.twitter.com/fbh2CPr5tv 
 Eyewitness News (@ABC7NY) July 18, 2026 
Underground, several subway stations experienced flooding and cascading waterfalls of rain that fell onto trains, tracks and platforms. 
The MTA also reported multiple weather-related disruptions throughout day due to the storm. 
One clip of a city subway station shows straphangers having to slosh through pools of water that collected on the platform as water cascades down stairs. 
Floods in New York City Subways #newyork #flooding #subway pic.twitter.com/CYA3MSn7RU 
 Tomson (@TomsonWoo) July 19, 2026 
Homeowners, including those in Kissena Park, Queens, experienced property damage and downed trees. 
Tornado warnings were in effect for much of nearby states, including New Jersey and Delaware. 
Residents of these states were advised to immediately take shelter in a basement or interior room. 
NYC recovers on Sunday 
By late Saturday and into Sunday, many streets that were closed or flooded reopened to traffic, though officials warned of lingering delays, as temperatures were expected to reach 80 degrees with a minimal chance of rain. 
Mayor Zohran Mamdani provided an update on the weather and transit to the World Cup Final at MetLife Stadium in East Rutherford, NJ, saying that although Saturday's storms have passed, New Yorkers attending the match should still plan extra time to get there. 
"The storms we saw yesterday have cleared up overnight. 
And we're hopeful that dry skies will stick around for kickoff," the mayor said. 
"Plan extra time to get to the stadium, and make sure you are relying on public transportation to get there." 
Meanwhile, some trains were experiencing delays Sunday morning, according to the MTA , including the 2, 4, 5, and C trains. 
Like the weather, the city's air quality index improved on Sunday, dropping from unhealthy levels to a moderate level of 68. 
Despite the improvement, officials still warned of lingering effects from wildfire smoke in New York. 
“We continue to monitor the impacts of wildfire smoke and severe weather on communities across New York State,” Gov. 
Kathy Hochul said. 
“Lingering effects of smoke from wildfires in Canada and Minnesota may still impact portions of the state on Sunday. 
I encourage New Yorkers to stay informed by checking trusted sources for air quality and weather forecasts, and check in with friends and family members who might need help this weekend.” 
In the meantime, NYC officials encouraged residents and businesses to report storm damage to help the city assess impacts and coordinate recovery efforts. 
New Yorkers can report property damage at reportdamage.nyc.gov. 
Article reasoning-pattern comparisonThis article: 2.2%Barbara Russo-Lennon: 2.8%amNewYork: 3.4%Confirmation Bias2.2%This article: 2.8%Barbara Russo-Lennon: 0.3%amNewYork: 1.3%Anchoring Bias2.8%This article: 26.7%Barbara Russo-Lennon: 7.2%amNewYork: 3.8%Availability Heuristic26.7%This article: 0.0%Barbara Russo-Lennon: 0.9%amNewYork: 0.9%Representativeness Heuristic0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.8%Hindsight Bias0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 1.2%Overconfidence Bias0.0%This article: 15.5%Barbara Russo-Lennon: 7.1%amNewYork: 5.5%Framing Effect15.5%This article: 19.9%Barbara Russo-Lennon: 1.9%amNewYork: 1.0%Loss Aversion19.9%This article: 9.7%Barbara Russo-Lennon: 1.7%amNewYork: 1.0%Status Quo Bias9.7%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Sunk Cost Effect0.0%This article: 12.4%Barbara Russo-Lennon: 3.7%amNewYork: 3.7%Optimism Bias12.4%This article: 2.8%Barbara Russo-Lennon: 0.3%amNewYork: 1.2%Pessimism Bias2.8%This article: 46.2%Barbara Russo-Lennon: 8.7%amNewYork: 7.0%Negativity Bias46.2%This article: 0.0%Barbara Russo-Lennon: 0.7%amNewYork: 1.7%Self-Serving Bias0.0%This article: 0.0%Barbara Russo-Lennon: 1.2%amNewYork: 1.1%Fundamental Attribution Error0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Actor-Observer Bias0.0%This article: 4.6%Barbara Russo-Lennon: 0.4%amNewYork: 0.8%In-Group Bias4.6%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.2%Out-Group Homogeneity Bias0.0%This article: 4.3%Barbara Russo-Lennon: 1.7%amNewYork: 2.2%Halo Effect4.3%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Horn Effect0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Dunning-Kruger Effect0.0%This article: 8.4%Barbara Russo-Lennon: 1.5%amNewYork: 1.1%Recency Bias8.4%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Primacy Effect0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Blind-Spot Bias0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.4%Ad Hominem0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.2%Straw Man0.0%This article: 18.1%Barbara Russo-Lennon: 3.2%amNewYork: 3.5%Appeal to Authority18.1%This article: 6.3%Barbara Russo-Lennon: 0.6%amNewYork: 1.2%False Dilemma6.3%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.6%Slippery Slope0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.1%Circular Reasoning0.0%This article: 1.9%Barbara Russo-Lennon: 0.6%amNewYork: 3.8%Hasty Generalization1.9%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.1%Red Herring0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.5%Bandwagon0.0%This article: 12.5%Barbara Russo-Lennon: 6.1%amNewYork: 5.2%Appeal to Emotion12.5%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 1.2%Begging the Question0.0%This article: 9.3%Barbara Russo-Lennon: 1.3%amNewYork: 2.8%Post Hoc (False Cause)9.3%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Tu Quoque0.0%This article: 0.0%Barbara Russo-Lennon: 0.8%amNewYork: 0.6%Burden of Proof0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Appeal to Nature0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.3%Composition/Division0.0%This article: 17.7%Barbara Russo-Lennon: 2.3%amNewYork: 1.6%Anecdotal17.7%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%No True Scotsman0.0%This article: 0.0%Barbara Russo-Lennon: 0.3%amNewYork: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.1%Middle Ground0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Personal Incredulity0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.3%Special Pleading0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Genetic Fallacy0.0%This article: 0.0%Barbara Russo-Lennon: 0.7%amNewYork: 1.4%Unattributed Quote0.0%This article: 3.2%Barbara Russo-Lennon: 1.6%amNewYork: 1.0%Quote-first Misdirection3.2%This article: 10.2%Barbara Russo-Lennon: 3.1%amNewYork: 4.2%Biased Writer Voice10.2%This article: 10.9%Barbara Russo-Lennon: 3.4%amNewYork: 1.6%Indoctrination10.9%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Barbara Russo-Lennon: 0.0%amNewYork: 0.0%Politically Right Leaning Bias0.0%This article: 9.4%Barbara Russo-Lennon: 1.0%amNewYork: 0.6%Attempt to Sell a Product or S…9.4%

678 words analyzed.

Speakers

7speakers34%attributed speech446writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 16 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageNational Weather Service • 19 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageABC 7 • 8 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 3 words • 100.0% coverageEyewitness News (@ABC7NY) • 7 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageMTA • 13 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageTomson (@TomsonWoo) • 6 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageZohran Mamdani • 43 words • 100.0% coverageZohran Mamdani • 9 words • 0.0% coverageZohran Mamdani • 14 words • 0.0% coverageZohran Mamdani • 20 words • 100.0% coverageMTA • 21 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageKathy Hochul • 19 words • 100.0% coverageKathy Hochul • 3 words • 0.0% coverageKathy Hochul • 19 words • 0.0% coverageKathy Hochul • 31 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverage
Selected voice

ABC 7

100%flagged-word coverage
8 attributed words3.4% of attributed speech97% writer coverage
0%50.0%100.0%Biased Writer Voice+86.3 ptsWriter: 13.7%ABC 7: 100.0%100.0%Indoctrination-5.2 ptsWriter: 5.2%ABC 7: 0.0%0.0%Attempt to Sell a Product -4.7 ptsWriter: 4.7%ABC 7: 0.0%0.0%Quote-first Misdirection-0.7 ptsWriter: 0.7%ABC 7: 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.