Queens woman joined in brutal kidnapping to get revenge in TikTok feud, jury finds 79%

By John Annese59%

7/4/2026, 11:57:35 AM

BS Summary: This article contains 27 faulty reasoning types, including Confirmation Bias, Availability Heuristic, and Appeal to Emotion, with Negativity Bias as the most egregious example at 42.4% saturation with 393 hits. Analysis detected 1,932 faulty-reasoning hits from 927 analyzed words, generating a BS Score of 70.7% and a BS Rank of 79% (4,615 of 21,887 articles). This article is worse (more manipulative) than 78.90% of the article peer group.

A Queens woman embroiled in a nasty, years-long TikTok feud with a man in her Bangladeshi community took part in his brutal kidnapping and beating, a federal jury found. 
Sultana Razia, 40, wasn’t the one who abducted Mubarak Dewan as he walked home after getting takeout in Jamaica on March 27, 2023. 
The actual abduction was committed, according to the feds, by supermarket owner Abu Chowdhury  who's accused of heading a kidnapping ring that also snatched and tortured two men who crossed his vengeful wife, Iffat Lubna. 
But Razia and co-defendant Syed Rubel Ahmed gleefully took part in the victim's hours-long ordeal, meeting up with the kidnappers as they drove Dewan around Queens, beat him, drugged and stripped him, and forced him to stand naked on the street, the feds argued. 
She punched Dewan, hit him with a coconut broom, and posted video on TikTok of him naked with the caption “Mental Health Awareness Month” and three emojis smiling with their tongues out. 
Razia's trial ended June 26, with a jury needing about a day to find her and Ahmed guilty of kidnapping. 
The trial included testimony from a 100,000-follower TikTok influencer who watched the online feud unfold. 
It's the second of three Brooklyn Federal Court trials involving Chowdhury's alleged vengeance-themed kidnapping operation. 
His wife, Lubna, was convicted by a jury in April. 
He's scheduled to go to trial in September. 
After the verdict, prosecutors asked Brooklyn Federal Court Judge Nina Morrison to lock up Razia and her co-defendant without bail. 
But the judge deferred that decision until a hearing July 23, letting them remain free on bond  $50,000 for Razia, $100,000 for Ahmed. 
Razia and Dewan's feud apparently started when Dewan accused the woman and her family of stealing more than $30,000 from him, with Razia calling Dewan a liar and a cheater, prosecutors said. 
“What Razia and Dewan's feud does tell you, is that Razia really, really doesn't like Dewan,” Assistant U.S. 
Attorney John Vagelatos said in his closing argument to the jury. 
He pointed out that Razia, in a phone call three days after the kidnapping, gloated, “We beat him up and we took our revenge.” 
“It wasn't enough to kidnap, strip and beat the victim,” Vagelatos said. 
“Sultana Razia had to make sure the world knew it.” 
Dewan also ran afoul of Chowdhury  an imposing figure in the Queens Bangladeshi community, described by his wife's lawyers in April as “the beast.” 
Dewan posted TikTok videos about the supermarket owner, challenged him to a fight, and boasted that he had his own crew and that Chowdhury “didn't own the streets,” according to prosecutors. 
Chowdhury turned to violence, prosecutors said, ambushing the victim at 181st St. and Hillside Ave. in Jamaica just after sundown. 
He forced him into a Honda SUV to take a rough, hours-long ride through Queens, according to the feds. 
Chowdhury took several videos throughout the night chronicling how he and his accomplices tortured Dewan. 
At 9:12 p.m., after they dragged him onto a driveway in front of a garage, he made a video call to Razia, the prosecutor said. 
“She grabbed her husband, her uncle and a broom,” Vagelatos said. 
“They were driving to a kidnapping. 
A half-naked man, cornered in the cold, in the dark, with someone punching him in the genitals.” 
Razia's lawyer, Sarah Sacks, countered that Dewan had been harassing Razia online for years, threatening to rape her, posting photos of her house, calling her a prostitute and lying about her stealing money from him. 
A TikTok influencer who goes by the name “Baba King,” testified that the two cursed back and forth on their livestream videos. 
In one bizarre moment, he testified about how someone tagged him in a comment thread about putting a “hot egg in Sultana’s a--.” 
“I don’t take none of the comments even serious,” the influencer explained. 
“People just talk whatever they feels like, but won’t do it. 
No one do it. 
It’s just talk.” 
Sacks said Chowdhury had acted without Razia's knowledge when he grabbed Dewan, and that although posting video of him naked and afraid on the street wasn’t wise or kind, Razia thought he had just been beaten up, not kidnapped. 
Razia showed up at the scene not to aid in a kidnapping, but to confront her online tormentor, Sacks maintained. 
“If someone…repeatedly threatened to physically harm you, your husband, your children, and anyone connected to you over a bogus claim for money, might you be happy if you thought someone beat them, thinking they got their just deserts?” 
Sacks asked. 
“And if you were given the opportunity to prove in front of your community that his claim, which caused you years of fear, embarrassment, and depression was phony, might you go to that meeting?” 
Prosecutors countered that Razia knew Chowdhury was going to “catch him and beat (Dewan),” and that even if she hadn’t, it was crystal clear once she arrived that Dewan wasn’t free to leave, and that she helped surround him while beating him. 
“How many of us haven’t driven at 9 or 10 at night to the side of a highway, protected by trees and bushes, to clear the air with a naked, beaten, kidnapped man?” 
Vagelatos asked jurors. 
“Do you believe that Razia traveled to clear the air  or that she grabbed her husband, another male friend and a broom to beat him and get ‘our revenge?’ 
 
The jury answered that question with their verdict: guilty. 
Article reasoning-pattern comparisonThis article: 24.7%John Annese: 3.0%newyorkdailynews: 3.2%Confirmation Bias24.7%This article: 1.6%John Annese: 0.9%newyorkdailynews: 0.8%Anchoring Bias1.6%This article: 19.3%John Annese: 3.6%newyorkdailynews: 3.4%Availability Heuristic19.3%This article: 4.3%John Annese: 1.4%newyorkdailynews: 1.1%Representativeness Heuristic4.3%This article: 3.6%John Annese: 1.3%newyorkdailynews: 1.0%Hindsight Bias3.6%This article: 4.5%John Annese: 1.0%newyorkdailynews: 1.3%Overconfidence Bias4.5%This article: 6.7%John Annese: 6.2%newyorkdailynews: 6.1%Framing Effect6.7%This article: 4.1%John Annese: 0.2%newyorkdailynews: 0.4%Loss Aversion4.1%This article: 0.0%John Annese: 0.3%newyorkdailynews: 0.5%Status Quo Bias0.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.2%Sunk Cost Effect0.0%This article: 0.3%John Annese: 0.6%newyorkdailynews: 2.8%Optimism Bias0.3%This article: 3.7%John Annese: 0.8%newyorkdailynews: 1.2%Pessimism Bias3.7%This article: 42.4%John Annese: 15.9%newyorkdailynews: 9.8%Negativity Bias42.4%This article: 8.0%John Annese: 1.7%newyorkdailynews: 1.5%Self-Serving Bias8.0%This article: 5.3%John Annese: 1.4%newyorkdailynews: 1.5%Fundamental Attribution Error5.3%This article: 0.0%John Annese: 0.4%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 5.8%John Annese: 0.9%newyorkdailynews: 1.3%In-Group Bias5.8%This article: 0.0%John Annese: 0.3%newyorkdailynews: 0.4%Out-Group Homogeneity Bias0.0%This article: 3.8%John Annese: 3.9%newyorkdailynews: 3.9%Halo Effect3.8%This article: 0.0%John Annese: 0.6%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 5.4%John Annese: 1.4%newyorkdailynews: 1.4%Recency Bias5.4%This article: 0.0%John Annese: 0.7%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%John Annese: 0.1%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 0.0%John Annese: 1.0%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%John Annese: 0.3%newyorkdailynews: 0.2%Straw Man0.0%This article: 2.8%John Annese: 2.1%newyorkdailynews: 3.2%Appeal to Authority2.8%This article: 9.0%John Annese: 1.0%newyorkdailynews: 1.1%False Dilemma9.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.4%Slippery Slope0.0%This article: 0.0%John Annese: 0.2%newyorkdailynews: 0.1%Circular Reasoning0.0%This article: 5.5%John Annese: 2.9%newyorkdailynews: 4.1%Hasty Generalization5.5%This article: 2.5%John Annese: 0.7%newyorkdailynews: 0.3%Red Herring2.5%This article: 0.0%John Annese: 0.2%newyorkdailynews: 0.4%Bandwagon0.0%This article: 16.9%John Annese: 9.4%newyorkdailynews: 7.4%Appeal to Emotion16.9%This article: 1.9%John Annese: 0.7%newyorkdailynews: 0.6%Begging the Question1.9%This article: 0.0%John Annese: 2.0%newyorkdailynews: 3.4%Post Hoc (False Cause)0.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 0.0%John Annese: 0.6%newyorkdailynews: 0.5%Burden of Proof0.0%This article: 0.0%John Annese: 0.1%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 0.0%John Annese: 0.1%newyorkdailynews: 0.2%Composition/Division0.0%This article: 2.7%John Annese: 2.9%newyorkdailynews: 2.6%Anecdotal2.7%This article: 0.0%John Annese: 0.1%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 1.9%John Annese: 1.5%newyorkdailynews: 1.6%Ambiguity (Equivocation)1.9%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%John Annese: 0.2%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%John Annese: 0.2%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 1.9%John Annese: 4.2%newyorkdailynews: 2.1%Unattributed Quote1.9%This article: 5.8%John Annese: 1.9%newyorkdailynews: 1.1%Quote-first Misdirection5.8%This article: 13.9%John Annese: 5.4%newyorkdailynews: 6.7%Biased Writer Voice13.9%This article: 0.0%John Annese: 0.8%newyorkdailynews: 3.9%Indoctrination0.0%This article: 0.0%John Annese: 0.1%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%John Annese: 0.0%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%John Annese: 0.1%newyorkdailynews: 0.6%Attempt to Sell a Product or S…0.0%

927 words analyzed.

Speakers

2speakers35%attributed speech607writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 44 words • 100.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageJohn Vagelatos • 11 words • 0.0% coverageJohn Vagelatos • 24 words • 0.0% coverageJohn Vagelatos • 12 words • 0.0% coverageJohn Vagelatos • 10 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageJohn Vagelatos • 11 words • 0.0% coverageJohn Vagelatos • 6 words • 0.0% coverageJohn Vagelatos • 17 words • 0.0% coverageSarah Sacks • 35 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageSarah Sacks • 39 words • 0.0% coverageSarah Sacks • 20 words • 0.0% coverageSarah Sacks • 38 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageSarah Sacks • 34 words • 0.0% coverageWriter's voice • 42 words • 100.0% coverageJohn Vagelatos • 33 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageJohn Vagelatos • 30 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverage
Selected voice

John Vagelatos

100%flagged-word coverage
154 attributed words48% of attributed speech85% writer coverage
0%12.5%25.0%Biased Writer Voice-21.3 ptsWriter: 21.3%John Vagelatos: 0.0%0.0%Quote-first Misdirection-8.9 ptsWriter: 8.9%John Vagelatos: 0.0%0.0%Unattributed Quote-3.0 ptsWriter: 3.0%John Vagelatos: 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.