Pharmacist convicted for selling oxycodone pills at 10 times the price at 2 Broward locations ⁠20%

By Rubén Rosario⁠60%

7/24/2026, 5:27:23 AM

BS Summary: This article contains 11 faulty reasoning types, including Representativeness Heuristic, Framing Effect, and Confirmation Bias, with Negativity Bias as the most egregious example at 34.1% saturation with 45 hits. Analysis detected 211 faulty-reasoning hits from 132 analyzed words, generating a BS Score of 34.1% and a BS Rank of ⁠20% (17,704 of 21,887 articles). This article is better (less manipulative) than 80.90% of the article peer group.

PEMBROKE PINES, FLA. 
(WSVN) - A Florida pharmacist was convicted of drug crimes. 
According to the U.S. 
Attorney’s Office, Olushola Yusuf of Tampa sold 300,000 oxycodone pills to patients without a proper medical reason. 
The 60-year-old was convicted Thursday of illegal drug distribution and conspiracy. 
Yusuf owned and operated two pharmacies in Broward County — one in Pembroke Pines and one in Margate — which she used to distribute the 30-milligram pills. 
Authorities said Yusuf sold the pills at 10 times the price. 
Some customers even paid $1,300 a month in cash. 
Her sentencing is scheduled for Oct. 
14. 
Copyright 2026 Sunbeam Television Corp. 
All rights reserved. 
This material may not be published, broadcast, rewritten or redistributed. 
Article reasoning-pattern comparisonThis article: 15.9%Rubén Rosario: 3.2%WSVN: 2.5%Confirmation Bias15.9%This article: 0.0%Rubén Rosario: 1.0%WSVN: 0.9%Anchoring Bias0.0%This article: 6.8%Rubén Rosario: 4.5%WSVN: 3.6%Availability Heuristic6.8%This article: 20.5%Rubén Rosario: 1.8%WSVN: 1.3%Representativeness Heuristic20.5%This article: 0.0%Rubén Rosario: 1.3%WSVN: 0.6%Hindsight Bias0.0%This article: 0.0%Rubén Rosario: 1.7%WSVN: 1.5%Overconfidence Bias0.0%This article: 19.7%Rubén Rosario: 8.6%WSVN: 7.8%Framing Effect19.7%This article: 0.0%Rubén Rosario: 0.7%WSVN: 0.4%Loss Aversion0.0%This article: 0.0%Rubén Rosario: 0.6%WSVN: 0.6%Status Quo Bias0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Sunk Cost Effect0.0%This article: 0.0%Rubén Rosario: 0.7%WSVN: 2.1%Optimism Bias0.0%This article: 0.0%Rubén Rosario: 3.1%WSVN: 2.1%Pessimism Bias0.0%This article: 34.1%Rubén Rosario: 12.2%WSVN: 11.2%Negativity Bias34.1%This article: 0.0%Rubén Rosario: 2.1%WSVN: 1.5%Self-Serving Bias0.0%This article: 12.9%Rubén Rosario: 1.3%WSVN: 1.6%Fundamental Attribution Error12.9%This article: 0.0%Rubén Rosario: 0.3%WSVN: 0.4%Actor-Observer Bias0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.8%In-Group Bias0.0%This article: 0.0%Rubén Rosario: 0.3%WSVN: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Rubén Rosario: 0.8%WSVN: 1.0%Halo Effect0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Horn Effect0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Dunning-Kruger Effect0.0%This article: 8.3%Rubén Rosario: 1.3%WSVN: 1.5%Recency Bias8.3%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.1%Primacy Effect0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Blind-Spot Bias0.0%This article: 0.0%Rubén Rosario: 0.5%WSVN: 0.4%Ad Hominem0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Straw Man0.0%This article: 12.9%Rubén Rosario: 3.2%WSVN: 3.6%Appeal to Authority12.9%This article: 0.0%Rubén Rosario: 1.1%WSVN: 1.1%False Dilemma0.0%This article: 0.0%Rubén Rosario: 2.8%WSVN: 1.7%Slippery Slope0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Circular Reasoning0.0%This article: 0.0%Rubén Rosario: 1.8%WSVN: 2.4%Hasty Generalization0.0%This article: 0.0%Rubén Rosario: 0.4%WSVN: 0.3%Red Herring0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Bandwagon0.0%This article: 8.3%Rubén Rosario: 4.7%WSVN: 4.8%Appeal to Emotion8.3%This article: 0.0%Rubén Rosario: 0.6%WSVN: 0.4%Begging the Question0.0%This article: 0.0%Rubén Rosario: 4.9%WSVN: 3.1%Post Hoc (False Cause)0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Tu Quoque0.0%This article: 0.0%Rubén Rosario: 0.8%WSVN: 0.8%Burden of Proof0.0%This article: 0.0%Rubén Rosario: 0.1%WSVN: 0.1%Appeal to Nature0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Composition/Division0.0%This article: 0.0%Rubén Rosario: 2.3%WSVN: 2.6%Anecdotal0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%No True Scotsman0.0%This article: 0.0%Rubén Rosario: 1.6%WSVN: 1.1%Ambiguity (Equivocation)0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Middle Ground0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Personal Incredulity0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Special Pleading0.0%This article: 0.0%Rubén Rosario: 0.0%WSVN: 0.0%Genetic Fallacy0.0%This article: 12.9%Rubén Rosario: 1.9%WSVN: 2.0%Unattributed Quote12.9%This article: 0.0%Rubén Rosario: 2.0%WSVN: 1.4%Quote-first Misdirection0.0%This article: 7.6%Rubén Rosario: 3.4%WSVN: 3.2%Biased Writer Voice7.6%This article: 0.0%Rubén Rosario: 0.3%WSVN: 0.5%Indoctrination0.0%This article: 0.0%Rubén Rosario: 0.4%WSVN: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Rubén Rosario: 0.1%WSVN: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Rubén Rosario: 0.4%WSVN: 1.1%Attempt to Sell a Product or S…0.0%

132 words analyzed.

Speakers

2speakers47%attributed speech70writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 15 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageOlushola Yusuf • 17 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageOlushola Yusuf • 27 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageSunbeam Television Corp. • 5 words • 0.0% coverageSunbeam Television Corp. • 3 words • 0.0% coverageSunbeam Television Corp. • 10 words • 0.0% coverage
Selected voice

Olushola Yusuf

100%flagged-word coverage
44 attributed words71% of attributed speech80% writer coverage
0%20.0%40.0%Unattributed Quote+38.6 ptsWriter: 0.0%Olushola Yusuf: 38.6%38.6%Biased Writer Voice-14.3 ptsWriter: 14.3%Olushola Yusuf: 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.