Gunman dead, NYPD cop shot in leg following heated stand off in Brooklyn building 10%

By Theodore Parisienne0% Rocco Parascandola54% Thomas Tracy42%

6/19/2026, 6:58:22 AM

BS Summary: This article contains 13 faulty reasoning types, including Negativity Bias, Halo Effect, and Anchoring Bias, with Framing Effect as the most egregious example at 18.4% saturation with 151 hits. Analysis detected 509 faulty-reasoning hits from 820 analyzed words, generating a BS Score of 26.1% and a BS Rank of 10% (19,901 of 21,887 articles). This article is better (less manipulative) than 90.90% of the article peer group.

An NYPD cop was shot in the leg inside a Brooklyn apartment building following a heated standoff with an emotionally disturbed gunman who was killed in the exchange of gunfire Friday, police said. 
The shooting occurred inside the gunman’s home Kosciuszko St. near Marcy Ave. in Bedford-Stuyvesant as an elderly couple cowered in an upstairs apartment just steps from the firefight. 
A round fired during the exchange struck NYPD Emergency Services Unit Detective Matthew Gale in the left leg, fracturing his tibia, NYPD Police Commissioner Jessica Tisch said. 
Both Tisch and Mayor Mamdani visited Gale in the hospital on Friday. 
“We just visited with Det. 
Gale and we are grateful to report that he’s in good spirits and we’re praying for a speedy recovery,” Tisch said. 
The gunman, Lamin Simmons, 48, died at Woodhull Hospital Center. 
He fired off more than 20 rounds before cops shot him, police said. 
Cops raced to Kosciuszko St. at about 5:45 a.m. after neighbors reported hearing Simmons firing off seven rounds inside his two-story brownstone. 
Neighbors said Simmons and his family had lived on the block for more than three decades 
Responding cops entered the building and were immediately confronted by Simmons, who had a gun in his hand, Tisch said. 
Cops retreated outside and tried to get Simmons to surrender, but he refused, cops and witnesses said. 
“(The NYPD) closed the block off as the police went to the front,” longtime neighbor Marino Lucon, 61, told the Daily News. 
“They said ‘Surrender!’ 
but he said “I have a gun with me. 
If somebody comes inside, I’m going to shoot them!'” 
As the standoff began, Simmons’ wife and son were able to get out of the home safely, Tisch said. 
But an elderly couple in a second floor apartment, however, were unable to leave. 
“We got in touch with the elderly couple and instructed them to lock themselves in their bedroom,” Tisch said. 
“For more than two hours, both hostage negotiators and the family made multiple attempts to establish a dialogue with the perpetrator.” 
Simmons has no criminal record. 
His family admitted that the gunman had a history of mental illness, although police had never been called to the home to handle any emotional outbursts, Tisch said. 
Neighbor Myriam Perez was inside her home when the standoff began. 
“I went to open the window for my cat when I see a whole bunch of officers and trucks and all that,” Perez, 65, told The News. 
“I didn’t hear anything earlier, but my friend said she heard a screeching and shots.” 
As the standoff wore on, Perez saw heavy weapons teams surround the building and take sniper positions. 
“There was a police officer on top of the roof with a rifle,” she said. 
Neither the cops nor the family were ever able to make contact with Simmons who was seen throwing a microwave, a lamp and several pots and pans out a rear window into the back yard. 
Images from a NYPD drone in the rear yard recorded images of Simmons “clearly holding a handgun in his left hand,” Tisch said. 
“He also continued to fire rounds from inside the apartment,” she said. 
As members of the NYPD Emergency Services Unit breached the door at about 8:50 a.m., they found Simmons at the top of the stairs, just a few steps from the elderly couple’s apartment. 
“Officers told him multiple times to drop the weapon, but he refused,” Tisch said. 
“He (then) fired at our officers, striking one officer in the leg. 
Four officers returned fire, striking him.” 
A woman at a nearby store heard the rapports of gunfire and immediately froze. 
“It was like two spurts of shots about 30 seconds apart,” said the woman, who wished not to be named. 
“I waited a couple of minutes and then I came out and I saw all the cops in the military gear and the drones out.” 
“It was crazy,” she said. 
“Like nothing I’ve ever seen.” 
Gale is a 15-year veteran of the department. 
He joined the NYPD’s Emergency Services Squad 10 in 2017, according to his NYPD profile. 
 (ESU) responds to some of the most complex and dangerous assignments in the city,” Tisch said. 
“When you need help, you call the police. 
When the police need help we call ESU.” 
Mayor Mamdani thanked all of the officers involved in the standoff for “responding to an immensely challenging situation with professionalism and calmness.” 
“What this officer from ESU did this morning is what so many officers do each morning,” Mamdani said. 
“He put on his uniform, left his house said goodbye to family and he went to his job to keep our city safe.” 
“When New Yorkers call 911 they expect someone to show up. 
What this officer and so many others did today was exactly that,” he said. 
Article reasoning-pattern comparisonThis article: 0.0%Theodore Parisienne: 1.2%newyorkdailynews: 3.2%Confirmation Bias0.0%This article: 4.4%Theodore Parisienne: 0.8%newyorkdailynews: 0.8%Anchoring Bias4.4%This article: 0.6%Theodore Parisienne: 4.2%newyorkdailynews: 3.4%Availability Heuristic0.6%This article: 0.0%Theodore Parisienne: 1.0%newyorkdailynews: 1.1%Representativeness Heuristic0.0%This article: 0.0%Theodore Parisienne: 0.2%newyorkdailynews: 1.0%Hindsight Bias0.0%This article: 0.0%Theodore Parisienne: 0.1%newyorkdailynews: 1.3%Overconfidence Bias0.0%This article: 18.4%Theodore Parisienne: 5.9%newyorkdailynews: 6.1%Framing Effect18.4%This article: 0.0%Theodore Parisienne: 0.2%newyorkdailynews: 0.4%Loss Aversion0.0%This article: 0.0%Theodore Parisienne: 1.0%newyorkdailynews: 0.5%Status Quo Bias0.0%This article: 0.0%Theodore Parisienne: 0.2%newyorkdailynews: 0.2%Sunk Cost Effect0.0%This article: 2.6%Theodore Parisienne: 1.3%newyorkdailynews: 2.8%Optimism Bias2.6%This article: 0.0%Theodore Parisienne: 0.5%newyorkdailynews: 1.2%Pessimism Bias0.0%This article: 16.0%Theodore Parisienne: 12.2%newyorkdailynews: 9.8%Negativity Bias16.0%This article: 0.0%Theodore Parisienne: 0.9%newyorkdailynews: 1.5%Self-Serving Bias0.0%This article: 0.0%Theodore Parisienne: 1.0%newyorkdailynews: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 1.0%Theodore Parisienne: 0.3%newyorkdailynews: 1.3%In-Group Bias1.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.4%Out-Group Homogeneity Bias0.0%This article: 5.5%Theodore Parisienne: 2.8%newyorkdailynews: 3.9%Halo Effect5.5%This article: 0.0%Theodore Parisienne: 0.3%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Theodore Parisienne: 1.7%newyorkdailynews: 1.4%Recency Bias0.0%This article: 0.0%Theodore Parisienne: 0.1%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 0.0%Theodore Parisienne: 0.1%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.2%Straw Man0.0%This article: 2.1%Theodore Parisienne: 1.2%newyorkdailynews: 3.2%Appeal to Authority2.1%This article: 0.0%Theodore Parisienne: 0.7%newyorkdailynews: 1.1%False Dilemma0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.4%Slippery Slope0.0%This article: 1.0%Theodore Parisienne: 0.3%newyorkdailynews: 0.1%Circular Reasoning1.0%This article: 3.9%Theodore Parisienne: 1.0%newyorkdailynews: 4.1%Hasty Generalization3.9%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.3%Red Herring0.0%This article: 0.0%Theodore Parisienne: 0.2%newyorkdailynews: 0.4%Bandwagon0.0%This article: 2.8%Theodore Parisienne: 4.7%newyorkdailynews: 7.4%Appeal to Emotion2.8%This article: 0.0%Theodore Parisienne: 0.1%newyorkdailynews: 0.6%Begging the Question0.0%This article: 0.0%Theodore Parisienne: 1.5%newyorkdailynews: 3.4%Post Hoc (False Cause)0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 0.0%Theodore Parisienne: 0.2%newyorkdailynews: 0.5%Burden of Proof0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.2%Composition/Division0.0%This article: 0.0%Theodore Parisienne: 4.5%newyorkdailynews: 2.6%Anecdotal0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 0.0%Theodore Parisienne: 1.3%newyorkdailynews: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%Theodore Parisienne: 0.1%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 0.0%Theodore Parisienne: 1.4%newyorkdailynews: 2.1%Unattributed Quote0.0%This article: 1.1%Theodore Parisienne: 1.9%newyorkdailynews: 1.1%Quote-first Misdirection1.1%This article: 0.0%Theodore Parisienne: 5.3%newyorkdailynews: 6.7%Biased Writer Voice0.0%This article: 2.8%Theodore Parisienne: 1.2%newyorkdailynews: 3.9%Indoctrination2.8%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Theodore Parisienne: 0.0%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Theodore Parisienne: 0.2%newyorkdailynews: 0.6%Attempt to Sell a Product or S…0.0%

820 words analyzed.

Speakers

4speakers52%attributed speech394writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageJessica Tisch • 27 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageJessica Tisch • 5 words • 0.0% coverageJessica Tisch • 21 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageJessica Tisch • 20 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageMarino Lucon • 22 words • 0.0% coverageMarino Lucon • 3 words • 0.0% coverageMarino Lucon • 9 words • 0.0% coverageMarino Lucon • 9 words • 100.0% coverageJessica Tisch • 19 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageJessica Tisch • 19 words • 0.0% coverageJessica Tisch • 21 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageJessica Tisch • 28 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageMyriam Perez • 27 words • 0.0% coverageMyriam Perez • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageMyriam Perez • 15 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageJessica Tisch • 23 words • 0.0% coverageJessica Tisch • 12 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageJessica Tisch • 14 words • 0.0% coverageJessica Tisch • 12 words • 0.0% coverageJessica Tisch • 6 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageJessica Tisch • 17 words • 0.0% coverageJessica Tisch • 8 words • 0.0% coverageJessica Tisch • 8 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageMayor Mamdani • 18 words • 0.0% coverageMayor Mamdani • 23 words • 100.0% coverageMayor Mamdani • 11 words • 0.0% coverageMayor Mamdani • 14 words • 0.0% coverage
Selected voice

Mayor Mamdani

83%flagged-word coverage
66 attributed words15% of attributed speech70% writer coverage
0%17.5%35.0%Indoctrination+34.8 ptsWriter: 0.0%Mayor Mamdani: 34.8%34.8%

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.