Man murdered amid Times Square TikTok trend was 'wanderer' passing through NYC, family says 35%

By Emma Seiwell50% Colin Mixson63% Kerry Burke35%

5/7/2026, 11:54:31 AM

BS Summary: This article contains 24 faulty reasoning types, including Appeal to Authority, Halo Effect, and Negativity Bias, with Anecdotal as the most egregious example at 18.5% saturation with 161 hits. Analysis detected 989 faulty-reasoning hits from 870 analyzed words, generating a BS Score of 42.3% and a BS Rank of 35% (14,383 of 21,887 articles). This article is better (less manipulative) than 65.70% of the article peer group.

A man sleeping on the street in Times Square cops say was stabbed to death by a teen motivated by a TikTok trend was a “wanderer” just passing through the city, his devastated family says. 
Leonidas Baez was slain outside Burger & Lobster, a restaurant on W. 43rd St. near Seventh Ave., about 11:30 p.m. 
Monday. 
A 17-year-old boy who told cops he was following a “mess-with-a-crackhead” TikTok trend when he antagonized the sleeping stranger, according to police sources, was arrested for his murder Thursday. 
But while awaiting his arraignment in Manhattan Criminal Court Thursday, the suspect shouted at reporters that he acted in “self-defense” after the victim hit him in the face. 
“He punched me first  so I stabbed him,” he told the Daily News exclusively. 
He also denied involvement in the TikTok trend. 
“I’m not part of it, I’m just hanging out,” he said. 
“Why? 
What was the point?” 
the victim’s sister, who declined to give her name, said of the slaying. 
“Were you that bored that you had to bother somebody? 
You getting brownie points to dehumanize somebody?” 
“He was such a loving person,” she said of her free-spirited brother. 
“He was loved by everybody.” 
Baez, was confronted by the stabber and two accomplices, according to police sources. 
As a quarrel escalated, the teen allegedly stabbed the Baez in the face, torso and back, cops said. 
Leonidas Baez was fatally stabbed outside the Burger & Lobster restaurant on W. 43rd St. near Seventh Ave. in Manhattan Monday. 
(Google) 
Baez’s sister described her brother as “a traveler” who wandered up and down the East Coast, from Florida to his home state of Massachusetts, where his two children live with their mother. 
“He just wanted to travel the world and experience life,” the sister said. 
“He rode a bike all the way down to Florida. 
He came back on a bike. 
He walked, hiked, took trains. 
That’s the type of life that he had his mind set on.” 
Baez was heading south after visiting his family in Massachusetts when he decided to stop in Manhattan, his sister said. 
“He was mostly attracted [to New York City] because there’s just always something to do,” the sister said. 
“There’s always sightseeing. 
He was attracted to the ongoing things out there.” 
Medics rushed Baez to Bellevue Hospital but he could not be saved. 
The three suspects ran off east on W. 43rd St. toward Bryant Park. 
The teen, whose name was not released by cops because he is underage, was stopped by cops for jumping a turnstile at the Stillwell Ave. station in Coney Island, Brooklyn, just after midnight Thursday. 
Cops quickly realized he was wanted for the Times Square stabbing. 
The teen told cops he started antagonizing the sleeping victim, a stranger to him, as part of a viral “mess-with-a-crackhead” TikTok trend, according to police sources. 
As the suspect’s murder arraignment was pending in Manhattan Criminal Court, his two accomplices were still being sought. 
The victim’s sister said her brother favored populated areas to stay in. 
She described him as smart, presentable and “a great dad.” 
He worked odd jobs to fund his lifestyle, including driving for Uber and DoorDash. 
“He always had work,” his sister said. 
“He always had money in his pocket.” 
Leonides Baez (pictured) was fatally stabbed outside the Burger & Lobster restaurant on W. 43rd St. near Seventh Ave. in Manhattan Monday. 
(Courtesy of Family) 
He enjoyed not having a permanent home. 
“That’s the lifestyle he chose to live. 
He loved his life,” the sister said. 
“He was always schooling you on something. 
Survival skills are at a thousand  so if the apocalypse happened, that’s who I’m following.” 
“He was smart,” she added. 
“He loved to draw, study history. 
He loved to read. 
Politics, things that are going on in other countries, pretty much just freaking everything. 
Baez last spoke to his sister over Facebook Messenger in early April. 
“He was perfectly fine,” she said of the conversation. 
“He was always happy. 
He didn’t let life get to him.” 
Leonides Baez (pictured) was fatally stabbed outside the Burger & Lobster restaurant on W. 43rd St. near Seventh Ave. in Manhattan on Monday. 
(Courtesy of Family) 
The sister said she would sometimes try and egg on her brother into living a more conventional life, but there was no talking him out of his carefree lifestyle. 
“I’d be like ‘Why are you living like that?’ 
And he’d usually just say, ‘Life is hard,’ and ‘Look at everything that’s going on in life, everything is expensive,’” she said. 
“He was like, ‘Why wouldn’t I, if I can control my life how I want it instead of being controlled by somebody else?’” 
Baez was heading toward Florida, from where he had planned to trek west on a cross-country adventure to California, his sister said. 
“It sucks,” she said. 
“It’s kind of always gonna be a question of why? 
Someone that you don’t even know, someone that you see is minding his own business. 
Like what the hell is the purpose of bothering somebody like that, just to stab him?” 
With Rocco Parascandola and Thomas Tracy 
Article reasoning-pattern comparisonThis article: 3.2%Emma Seiwell: 2.4%newyorkdailynews: 3.2%Confirmation Bias3.2%This article: 0.0%Emma Seiwell: 0.4%newyorkdailynews: 0.8%Anchoring Bias0.0%This article: 6.3%Emma Seiwell: 3.3%newyorkdailynews: 3.4%Availability Heuristic6.3%This article: 4.5%Emma Seiwell: 1.3%newyorkdailynews: 1.1%Representativeness Heuristic4.5%This article: 0.0%Emma Seiwell: 0.5%newyorkdailynews: 1.0%Hindsight Bias0.0%This article: 4.3%Emma Seiwell: 0.3%newyorkdailynews: 1.3%Overconfidence Bias4.3%This article: 5.6%Emma Seiwell: 5.8%newyorkdailynews: 6.1%Framing Effect5.6%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: 0.0%Emma Seiwell: 0.2%newyorkdailynews: 0.2%Sunk Cost Effect0.0%This article: 4.1%Emma Seiwell: 1.5%newyorkdailynews: 2.8%Optimism Bias4.1%This article: 2.5%Emma Seiwell: 1.6%newyorkdailynews: 1.2%Pessimism Bias2.5%This article: 8.2%Emma Seiwell: 11.4%newyorkdailynews: 9.8%Negativity Bias8.2%This article: 2.6%Emma Seiwell: 1.5%newyorkdailynews: 1.5%Self-Serving Bias2.6%This article: 1.7%Emma Seiwell: 1.5%newyorkdailynews: 1.5%Fundamental Attribution Error1.7%This article: 3.3%Emma Seiwell: 0.3%newyorkdailynews: 0.3%Actor-Observer Bias3.3%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: 9.0%Emma Seiwell: 4.0%newyorkdailynews: 3.9%Halo Effect9.0%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: 0.0%Emma Seiwell: 0.9%newyorkdailynews: 1.4%Recency Bias0.0%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: 0.0%Emma Seiwell: 1.2%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%Emma Seiwell: 0.1%newyorkdailynews: 0.2%Straw Man0.0%This article: 9.9%Emma Seiwell: 2.4%newyorkdailynews: 3.2%Appeal to Authority9.9%This article: 3.8%Emma Seiwell: 0.7%newyorkdailynews: 1.1%False Dilemma3.8%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: 4.0%Emma Seiwell: 10.0%newyorkdailynews: 7.4%Appeal to Emotion4.0%This article: 1.6%Emma Seiwell: 0.4%newyorkdailynews: 0.6%Begging the Question1.6%This article: 0.0%Emma Seiwell: 2.0%newyorkdailynews: 3.4%Post Hoc (False Cause)0.0%This article: 1.3%Emma Seiwell: 0.1%newyorkdailynews: 0.1%Tu Quoque1.3%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: 18.5%Emma Seiwell: 2.5%newyorkdailynews: 2.6%Anecdotal18.5%This article: 3.3%Emma Seiwell: 0.1%newyorkdailynews: 0.1%No True Scotsman3.3%This article: 3.2%Emma Seiwell: 1.2%newyorkdailynews: 1.6%Ambiguity (Equivocation)3.2%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: 3.2%Emma Seiwell: 1.9%newyorkdailynews: 2.1%Unattributed Quote3.2%This article: 3.0%Emma Seiwell: 0.9%newyorkdailynews: 1.1%Quote-first Misdirection3.0%This article: 5.6%Emma Seiwell: 3.9%newyorkdailynews: 6.7%Biased Writer Voice5.6%This article: 0.8%Emma Seiwell: 0.9%newyorkdailynews: 3.9%Indoctrination0.8%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%

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