BKReader⁠60%

Man Stabbed, Cellphone Stolen in Late-Night Williamsburg Attack ⁠1%

By BK Reader Staff⁠41%

8/3/2026, 1:11:00 AM

BS Summary: This article contains 4 faulty reasoning types, including Negativity Bias, Loss Aversion, and Recency Bias, with Anchoring Bias as the most egregious example at 20% saturation with 16 hits. Analysis detected 48 faulty-reasoning hits from 80 analyzed words, generating a BS Score of 3.3% and a BS Rank of ⁠1% (26,370 of 26,612 articles). This article is better (less manipulative) than 99.10% of the article peer group.

A 30-year-old man was taken to the hospital after he was stabbed and robbed in Williamsburg late Thursday night, police say. 
The attack happened just before 9 p.m. near 54 Boerum St., between Lorimer and Leonard streets. 
Police say two men approached the victim and one of them stabbed him in the abdomen with a cutting instrument. 
His cellphone was also taken during the attack. 
More on this from News 12 Brooklyn. 
Article reasoning-pattern comparisonThis article: 0.0%BK Reader Staff: 2.8%BKReader: 2.5%Confirmation Bias0.0%This article: 20.0%BK Reader Staff: 0.7%BKReader: 1.0%Anchoring Bias20.0%This article: 0.0%BK Reader Staff: 1.4%BKReader: 1.6%Availability Heuristic0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.3%Representativeness Heuristic0.0%This article: 0.0%BK Reader Staff: 0.1%BKReader: 0.2%Hindsight Bias0.0%This article: 0.0%BK Reader Staff: 0.9%BKReader: 1.0%Overconfidence Bias0.0%This article: 0.0%BK Reader Staff: 6.3%BKReader: 8.0%Framing Effect0.0%This article: 10.0%BK Reader Staff: 1.0%BKReader: 0.8%Loss Aversion10.0%This article: 0.0%BK Reader Staff: 1.0%BKReader: 1.2%Status Quo Bias0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Sunk Cost Effect0.0%This article: 0.0%BK Reader Staff: 6.4%BKReader: 6.4%Optimism Bias0.0%This article: 0.0%BK Reader Staff: 1.1%BKReader: 1.2%Pessimism Bias0.0%This article: 20.0%BK Reader Staff: 5.2%BKReader: 5.2%Negativity Bias20.0%This article: 0.0%BK Reader Staff: 1.3%BKReader: 1.3%Self-Serving Bias0.0%This article: 0.0%BK Reader Staff: 0.2%BKReader: 0.4%Fundamental Attribution Error0.0%This article: 0.0%BK Reader Staff: 0.1%BKReader: 0.1%Actor-Observer Bias0.0%This article: 0.0%BK Reader Staff: 0.9%BKReader: 0.6%In-Group Bias0.0%This article: 0.0%BK Reader Staff: 0.1%BKReader: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%BK Reader Staff: 2.9%BKReader: 2.5%Halo Effect0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Horn Effect0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Dunning-Kruger Effect0.0%This article: 10.0%BK Reader Staff: 0.4%BKReader: 0.4%Recency Bias10.0%This article: 0.0%BK Reader Staff: 0.2%BKReader: 0.1%Primacy Effect0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Blind-Spot Bias0.0%This article: 0.0%BK Reader Staff: 0.3%BKReader: 0.3%Ad Hominem0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.2%Straw Man0.0%This article: 0.0%BK Reader Staff: 2.2%BKReader: 2.7%Appeal to Authority0.0%This article: 0.0%BK Reader Staff: 0.6%BKReader: 0.7%False Dilemma0.0%This article: 0.0%BK Reader Staff: 0.6%BKReader: 0.5%Slippery Slope0.0%This article: 0.0%BK Reader Staff: 0.3%BKReader: 0.2%Circular Reasoning0.0%This article: 0.0%BK Reader Staff: 1.6%BKReader: 3.0%Hasty Generalization0.0%This article: 0.0%BK Reader Staff: 0.1%BKReader: 0.3%Red Herring0.0%This article: 0.0%BK Reader Staff: 0.1%BKReader: 0.2%Bandwagon0.0%This article: 0.0%BK Reader Staff: 8.3%BKReader: 7.4%Appeal to Emotion0.0%This article: 0.0%BK Reader Staff: 1.3%BKReader: 1.2%Begging the Question0.0%This article: 0.0%BK Reader Staff: 1.6%BKReader: 1.7%Post Hoc (False Cause)0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.1%Tu Quoque0.0%This article: 0.0%BK Reader Staff: 0.5%BKReader: 0.4%Burden of Proof0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Appeal to Nature0.0%This article: 0.0%BK Reader Staff: 0.3%BKReader: 0.3%Composition/Division0.0%This article: 0.0%BK Reader Staff: 0.8%BKReader: 0.7%Anecdotal0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%No True Scotsman0.0%This article: 0.0%BK Reader Staff: 0.5%BKReader: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Gambler’s Fallacy0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Middle Ground0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Personal Incredulity0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Special Pleading0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.1%Genetic Fallacy0.0%This article: 0.0%BK Reader Staff: 2.5%BKReader: 1.8%Unattributed Quote0.0%This article: 0.0%BK Reader Staff: 0.9%BKReader: 0.9%Quote-first Misdirection0.0%This article: 0.0%BK Reader Staff: 2.9%BKReader: 2.5%Biased Writer Voice0.0%This article: 0.0%BK Reader Staff: 1.7%BKReader: 3.1%Indoctrination0.0%This article: 0.0%BK Reader Staff: 1.5%BKReader: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%BK Reader Staff: 0.0%BKReader: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%BK Reader Staff: 0.3%BKReader: 0.2%Attempt to Sell a Product or S…0.0%

80 words analyzed.

Speakers

1speaker8.8%attributed speech73writer words
Selected voice

News 12 Brooklyn

0%flagged-word coverage
7 attributed words100% of attributed speech44% 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.