NYPD seizes bootleg goods worth millions, arrests 17 in raids from Canal St. to Chelsea ⁠30%

By Colin Mixson⁠63%

6/27/2026, 12:14:39 AM

BS Summary: This article contains 10 faulty reasoning types, including Unattributed Quote, Negativity Bias, and Biased Writer Voice, with Framing Effect as the most egregious example at 66.7% saturation with 104 hits. Analysis detected 515 faulty-reasoning hits from 156 analyzed words, generating a BS Score of 39.9% and a BS Rank of ⁠30% (14,918 of 21,188 articles). This article is better (less manipulative) than 70.40% of the article peer group.

The NYPD seized millions of dollars’ worth of bootleg luxury merchandise during simultaneous raids throughout Manhattan, cops said Friday. 
Police executed multiple search warrants targeting vendors on Canal, Hester and Mulberry Sts. in Lower Manhattan, and on W. 27th St., around 11:30 a.m. 
Thursday, according to law enforcement. 
Merchandise including counterfeit perfumes, Rolex watches, knockoff Knicks apparel, sunglasses, electronics and Labubus were seized, in addition to $145,000 in cash, police said. 
Video posted online by the NYPD shows officers loading a flatbed truck during the raid with seized merchandise stuffed into plastic evidence bags. 
17 people were arrested and charged with felony trademark counterfeiting. 
Thursday’s raid was a part of the NYPD’s ongoing efforts to crack down on the city’s trade in bootleg merchandise, and follows five raids targeting vendors in Lower Manhattan between May 20 and June 12, cops said. 
Article reasoning-pattern comparisonThis article: 23.7%Colin Mixson: 2.8%newyorkdailynews: 3.2%Confirmation Bias23.7%This article: 0.0%Colin Mixson: 1.2%newyorkdailynews: 0.8%Anchoring Bias0.0%This article: 26.9%Colin Mixson: 4.8%newyorkdailynews: 3.3%Availability Heuristic26.9%This article: 0.0%Colin Mixson: 1.2%newyorkdailynews: 1.1%Representativeness Heuristic0.0%This article: 0.0%Colin Mixson: 0.5%newyorkdailynews: 1.0%Hindsight Bias0.0%This article: 0.0%Colin Mixson: 0.3%newyorkdailynews: 1.3%Overconfidence Bias0.0%This article: 66.7%Colin Mixson: 8.1%newyorkdailynews: 6.1%Framing Effect66.7%This article: 0.0%Colin Mixson: 0.2%newyorkdailynews: 0.4%Loss Aversion0.0%This article: 0.0%Colin Mixson: 0.4%newyorkdailynews: 0.5%Status Quo Bias0.0%This article: 0.0%Colin Mixson: 0.1%newyorkdailynews: 0.2%Sunk Cost Effect0.0%This article: 0.0%Colin Mixson: 0.9%newyorkdailynews: 2.8%Optimism Bias0.0%This article: 0.0%Colin Mixson: 1.1%newyorkdailynews: 1.2%Pessimism Bias0.0%This article: 36.5%Colin Mixson: 12.9%newyorkdailynews: 9.7%Negativity Bias36.5%This article: 0.0%Colin Mixson: 1.4%newyorkdailynews: 1.6%Self-Serving Bias0.0%This article: 0.0%Colin Mixson: 1.9%newyorkdailynews: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Colin Mixson: 0.3%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 0.0%Colin Mixson: 1.1%newyorkdailynews: 1.3%In-Group Bias0.0%This article: 0.0%Colin Mixson: 0.8%newyorkdailynews: 0.4%Out-Group Homogeneity Bias0.0%This article: 14.7%Colin Mixson: 3.4%newyorkdailynews: 4.0%Halo Effect14.7%This article: 0.0%Colin Mixson: 0.6%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 23.7%Colin Mixson: 1.2%newyorkdailynews: 1.4%Recency Bias23.7%This article: 0.0%Colin Mixson: 0.3%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 0.0%Colin Mixson: 0.7%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.2%Straw Man0.0%This article: 0.0%Colin Mixson: 4.2%newyorkdailynews: 3.2%Appeal to Authority0.0%This article: 0.0%Colin Mixson: 0.5%newyorkdailynews: 1.1%False Dilemma0.0%This article: 0.0%Colin Mixson: 0.3%newyorkdailynews: 0.3%Slippery Slope0.0%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.1%Circular Reasoning0.0%This article: 0.0%Colin Mixson: 3.1%newyorkdailynews: 4.1%Hasty Generalization0.0%This article: 0.0%Colin Mixson: 0.5%newyorkdailynews: 0.3%Red Herring0.0%This article: 0.0%Colin Mixson: 0.3%newyorkdailynews: 0.4%Bandwagon0.0%This article: 0.0%Colin Mixson: 10.3%newyorkdailynews: 7.4%Appeal to Emotion0.0%This article: 0.0%Colin Mixson: 0.4%newyorkdailynews: 0.6%Begging the Question0.0%This article: 23.7%Colin Mixson: 2.1%newyorkdailynews: 3.5%Post Hoc (False Cause)23.7%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 23.7%Colin Mixson: 0.4%newyorkdailynews: 0.5%Burden of Proof23.7%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 0.0%Colin Mixson: 0.1%newyorkdailynews: 0.2%Composition/Division0.0%This article: 0.0%Colin Mixson: 3.1%newyorkdailynews: 2.6%Anecdotal0.0%This article: 0.0%Colin Mixson: 0.1%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 0.0%Colin Mixson: 1.7%newyorkdailynews: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Colin Mixson: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Colin Mixson: 0.1%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%Colin Mixson: 0.1%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%Colin Mixson: 0.2%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%Colin Mixson: 0.1%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 53.8%Colin Mixson: 3.5%newyorkdailynews: 2.2%Unattributed Quote53.8%This article: 0.0%Colin Mixson: 1.2%newyorkdailynews: 1.0%Quote-first Misdirection0.0%This article: 36.5%Colin Mixson: 4.8%newyorkdailynews: 6.8%Biased Writer Voice36.5%This article: 0.0%Colin Mixson: 0.6%newyorkdailynews: 3.9%Indoctrination0.0%This article: 0.0%Colin Mixson: 0.8%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Colin Mixson: 0.2%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Colin Mixson: 0.3%newyorkdailynews: 0.6%Attempt to Sell a Product or S…0.0%

156 words analyzed.

Speakers

1speaker15%attributed speech133writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 15 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageNYPD • 23 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverage
Selected voice

NYPD

100%flagged-word coverage
23 attributed words100% of attributed speech82% writer coverage
0%50.0%100.0%Biased Writer Voice+74.4 ptsWriter: 25.6%NYPD: 100.0%100.0%Unattributed Quote-63.2 ptsWriter: 63.2%NYPD: 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.