Serial killer ex-con, 87, found guilty of murdering, dismembering Brooklyn woman 53%

By Emma Seiwell50%

5/8/2026, 1:09:17 PM

BS Summary: This article contains 20 faulty reasoning types, including Appeal to Emotion, Availability Heuristic, and Representativeness Heuristic, with Negativity Bias as the most egregious example at 21% saturation with 125 hits. Analysis detected 738 faulty-reasoning hits from 594 analyzed words, generating a BS Score of 51.5% and a BS Rank of 53% (10,461 of 21,887 articles). This article is worse (more manipulative) than 52.20% of the article peer group.

A jury convicted 87-year-old serial killer parolee Harvey Marcelin of first-degree murder for beating a Brooklyn woman to death, dismembering her with a saw and then ditching her remains in and around his apartment, prosecutors announced Friday. 
Marcelin of East New York, Brooklyn, will face a maximum sentence of life in prison without possibility of parole for the February 2022 killing of 68-year-old victim Susan Leyden at his sentencing on June 10. 
Brooklyn District Attorney Eric Gonzalez, in a statement, called the slaying “cruel and reprehensible,” adding that Marcelin desecrated Leyden’s remains “in a manner that truly shocks the conscience.” 
“I hope Ms. 
Leyden’s family finds a measure of solace in this guilty verdict, which ensures this defendant will never walk free again,” Gonzalez added. 
Leyden, who was down on her luck after losing her jewelry business and had become estranged from her family, wound up in a homeless shelter. 
But prosecutors said she had just “started getting back on her feet,” when Marcelin cut her life short. 
Surveillance footage from February 22, 2022, showed Leyden entering the octogenarian’s apartment on Pennsylvania Ave., after which she was never seen leaving it alive again. 
Leyden died of “homicidal violence including blunt force trauma to the head,” the New York City Medical Examiner determined at the time. 
With a reciprocal saw he bought from a Manhattan Home Depot, Marcelin dismembered Leyden, before packing her body parts into plastic bags, prosecutors said. 
Eight days after Leyden arrived at the apartment, Marcelin was captured on surveillance footage rolling a wheeled shopping bag containing a black plastic bag out of his apartment. 
Early the next morning, a passing e-bike rider spotted the rolling bag near the corner of Pennsylvania Ave. and Atlantic Ave. in East New York, not far from Marcelin’s home. 
“I saw kind of like the shoulder and one of the breasts and the neck. 
Chopped off, no head,” Ramon told jurors. 
“I jumped back, scared, shocked, and called 911. 
When they got there, they were also surprised.” 
Police reviewed video from the scene and determined Marcelin left the bag. 
When they checked his apartment, he answered the door wearing the same tan pants and brown boots from the video, prosecutors previously said. 
Cops searched his home, and found tied-up black plastic garbage bags with Leyden’s thighs, hand, arm and head inside. 
Marcelin also stuffed part of the victim’s left leg into his electric wheelchair and went shopping before disposing of the limb. 
A passerby discovered Leyden’s leg in a plastic bag sticking out of a tire across the street from an auto repair shop on Jamaica Ave. near New Jersey Ave., near Marcelin’s apartment. 
In 2019 Leyden lived in the same Bronx shelter as Marcelin, but the nature of their relationship is unclear, prosecutors said. 
“She was really a good person,” Nesrin Oncu, a close friend of the victim, who was once married to Leyden’s ex-husband, told the News in 2022. 
“Tragically, she lost her family members at such a young age. 
Her brothers and then her sister and her father and her mother. 
She was a survivor.” 
Marcelin, who has identified as both male and female over the years, has already served time for fatally shooting one girlfriend in early 1963, then fatally stabbing another girlfriend on Oct. 
30, 1985. 
The killer’s 1963 murder conviction formed the basis for the first-degree murder charge in Leyden’s case. 
At a June 25, 2019, parole hearing, Marcelin vowed, “I give you my word, I will never re-offend.” 
Article reasoning-pattern comparisonThis article: 0.0%Emma Seiwell: 2.4%newyorkdailynews: 3.2%Confirmation Bias0.0%This article: 2.7%Emma Seiwell: 0.4%newyorkdailynews: 0.8%Anchoring Bias2.7%This article: 9.3%Emma Seiwell: 3.3%newyorkdailynews: 3.4%Availability Heuristic9.3%This article: 8.8%Emma Seiwell: 1.3%newyorkdailynews: 1.1%Representativeness Heuristic8.8%This article: 3.0%Emma Seiwell: 0.5%newyorkdailynews: 1.0%Hindsight Bias3.0%This article: 0.0%Emma Seiwell: 0.3%newyorkdailynews: 1.3%Overconfidence Bias0.0%This article: 7.7%Emma Seiwell: 5.8%newyorkdailynews: 6.1%Framing Effect7.7%This article: 0.0%Emma Seiwell: 0.5%newyorkdailynews: 0.4%Loss Aversion0.0%This article: 0.0%Emma Seiwell: 0.5%newyorkdailynews: 0.5%Status Quo Bias0.0%This article: 5.2%Emma Seiwell: 0.2%newyorkdailynews: 0.2%Sunk Cost Effect5.2%This article: 0.0%Emma Seiwell: 1.5%newyorkdailynews: 2.8%Optimism Bias0.0%This article: 3.7%Emma Seiwell: 1.6%newyorkdailynews: 1.2%Pessimism Bias3.7%This article: 21.0%Emma Seiwell: 11.4%newyorkdailynews: 9.8%Negativity Bias21.0%This article: 0.0%Emma Seiwell: 1.5%newyorkdailynews: 1.5%Self-Serving Bias0.0%This article: 4.2%Emma Seiwell: 1.5%newyorkdailynews: 1.5%Fundamental Attribution Error4.2%This article: 0.0%Emma Seiwell: 0.3%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 0.0%Emma Seiwell: 0.8%newyorkdailynews: 1.3%In-Group Bias0.0%This article: 0.0%Emma Seiwell: 0.2%newyorkdailynews: 0.4%Out-Group Homogeneity Bias0.0%This article: 6.4%Emma Seiwell: 4.0%newyorkdailynews: 3.9%Halo Effect6.4%This article: 0.0%Emma Seiwell: 0.3%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%Emma Seiwell: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 4.7%Emma Seiwell: 0.9%newyorkdailynews: 1.4%Recency Bias4.7%This article: 0.0%Emma Seiwell: 0.5%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%Emma Seiwell: 0.0%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 5.2%Emma Seiwell: 1.2%newyorkdailynews: 1.2%Ad Hominem5.2%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.2%Straw Man0.0%This article: 8.4%Emma Seiwell: 2.4%newyorkdailynews: 3.2%Appeal to Authority8.4%This article: 3.7%Emma Seiwell: 0.7%newyorkdailynews: 1.1%False Dilemma3.7%This article: 0.0%Emma Seiwell: 0.4%newyorkdailynews: 0.4%Slippery Slope0.0%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.1%Circular Reasoning0.0%This article: 0.0%Emma Seiwell: 3.1%newyorkdailynews: 4.1%Hasty Generalization0.0%This article: 0.0%Emma Seiwell: 0.2%newyorkdailynews: 0.3%Red Herring0.0%This article: 0.0%Emma Seiwell: 0.3%newyorkdailynews: 0.4%Bandwagon0.0%This article: 15.0%Emma Seiwell: 10.0%newyorkdailynews: 7.4%Appeal to Emotion15.0%This article: 3.0%Emma Seiwell: 0.4%newyorkdailynews: 0.6%Begging the Question3.0%This article: 3.0%Emma Seiwell: 2.0%newyorkdailynews: 3.4%Post Hoc (False Cause)3.0%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 0.0%Emma Seiwell: 0.6%newyorkdailynews: 0.5%Burden of Proof0.0%This article: 0.0%Emma Seiwell: 0.2%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 0.0%Emma Seiwell: 0.2%newyorkdailynews: 0.2%Composition/Division0.0%This article: 5.1%Emma Seiwell: 2.5%newyorkdailynews: 2.6%Anecdotal5.1%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 3.5%Emma Seiwell: 1.2%newyorkdailynews: 1.6%Ambiguity (Equivocation)3.5%This article: 0.0%Emma Seiwell: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Emma Seiwell: 0.0%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%Emma Seiwell: 0.0%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 0.0%Emma Seiwell: 1.9%newyorkdailynews: 2.1%Unattributed Quote0.0%This article: 0.5%Emma Seiwell: 0.9%newyorkdailynews: 1.1%Quote-first Misdirection0.5%This article: 0.0%Emma Seiwell: 3.9%newyorkdailynews: 6.7%Biased Writer Voice0.0%This article: 0.0%Emma Seiwell: 0.9%newyorkdailynews: 3.9%Indoctrination0.0%This article: 0.0%Emma Seiwell: 0.7%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Emma Seiwell: 0.3%newyorkdailynews: 0.6%Attempt to Sell a Product or S…0.0%

594 words analyzed.

Speakers

5speakers28%attributed speech425writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageBrooklyn District Attorney Eric Gonzalez • 28 words • 0.0% coverageBrooklyn District Attorney Eric Gonzalez • 3 words • 100.0% coverageBrooklyn District Attorney Eric Gonzalez • 22 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageNew York City Medical Examiner • 22 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageRamon • 7 words • 0.0% coverageRamon • 8 words • 0.0% coverageRamon • 8 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageNesrin Oncu • 26 words • 0.0% coverageNesrin Oncu • 11 words • 0.0% coverageNesrin Oncu • 12 words • 0.0% coverageNesrin Oncu • 4 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageMarcelin • 18 words • 0.0% coverage
Selected voice

Nesrin Oncu

100%flagged-word coverage
53 attributed words31% of attributed speech77% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.