Search underway for missing 30-year-old woman from Miami ⁠2%

By Kevin Boulandier⁠24%

7/31/2026, 5:27:37 PM

BS Summary: This article contains 2 faulty reasoning types, including Appeal to Authority, with Availability Heuristic as the most egregious example at 13.2% saturation with 17 hits. Analysis detected 32 faulty-reasoning hits from 129 analyzed words, generating a BS Score of 6.2% and a BS Rank of ⁠2% (26,508 of 26,881 articles). This article is better (less manipulative) than 98.60% of the article peer group.

MIAMI (WSVN) - Officials are on the lookout for a missing 30-year-old woman from Miami’s Edgewater neighborhood. 
City of Miami Police said Melanie Russo was last seen in this neighborhood on Thursday. 
She stands 5 feet, 5 inches tall and weighs 120 pounds. 
She has blonde hair and blue eyes. 
She was last seen wearing a black Nike sports bra with black shorts, white Nike socks and white Nike sneakers. 
Anyone with information on Russo’s whereabouts is asked to contact Detective J. 
Diaz or any on-duty detective of the City of Miami of Police Department’s Special Victims Unit at 305-603-6300, 305-579-6111 or SVU@Miami-Police.Org. 
Copyright 2026 Sunbeam Television Corp. 
All rights reserved. 
This material may not be published, broadcast, rewritten or redistributed. 
Article reasoning-pattern comparisonThis article: 0.0%Kevin Boulandier: 1.2%7News: 1.7%Confirmation Bias0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.6%Anchoring Bias0.0%This article: 13.2%Kevin Boulandier: 1.6%7News: 2.5%Availability Heuristic13.2%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.7%Representativeness Heuristic0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.3%Hindsight Bias0.0%This article: 0.0%Kevin Boulandier: 0.9%7News: 0.9%Overconfidence Bias0.0%This article: 0.0%Kevin Boulandier: 4.4%7News: 4.6%Framing Effect0.0%This article: 0.0%Kevin Boulandier: 0.1%7News: 0.3%Loss Aversion0.0%This article: 0.0%Kevin Boulandier: 0.5%7News: 0.2%Status Quo Bias0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Sunk Cost Effect0.0%This article: 0.0%Kevin Boulandier: 3.0%7News: 2.2%Optimism Bias0.0%This article: 0.0%Kevin Boulandier: 0.9%7News: 1.3%Pessimism Bias0.0%This article: 0.0%Kevin Boulandier: 2.8%7News: 6.9%Negativity Bias0.0%This article: 0.0%Kevin Boulandier: 1.7%7News: 1.3%Self-Serving Bias0.0%This article: 0.0%Kevin Boulandier: 0.2%7News: 0.8%Fundamental Attribution Error0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.3%Actor-Observer Bias0.0%This article: 0.0%Kevin Boulandier: 2.1%7News: 0.6%In-Group Bias0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Kevin Boulandier: 1.5%7News: 0.8%Halo Effect0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Horn Effect0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Kevin Boulandier: 1.2%7News: 1.2%Recency Bias0.0%This article: 0.0%Kevin Boulandier: 0.2%7News: 0.0%Primacy Effect0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kevin Boulandier: 0.3%7News: 0.3%Ad Hominem0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.1%Straw Man0.0%This article: 11.6%Kevin Boulandier: 0.7%7News: 2.2%Appeal to Authority11.6%This article: 0.0%Kevin Boulandier: 0.7%7News: 0.6%False Dilemma0.0%This article: 0.0%Kevin Boulandier: 0.5%7News: 1.0%Slippery Slope0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.1%Circular Reasoning0.0%This article: 0.0%Kevin Boulandier: 2.1%7News: 1.7%Hasty Generalization0.0%This article: 0.0%Kevin Boulandier: 0.5%7News: 0.1%Red Herring0.0%This article: 0.0%Kevin Boulandier: 0.3%7News: 0.2%Bandwagon0.0%This article: 0.0%Kevin Boulandier: 5.5%7News: 3.4%Appeal to Emotion0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.4%Begging the Question0.0%This article: 0.0%Kevin Boulandier: 0.5%7News: 1.9%Post Hoc (False Cause)0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Tu Quoque0.0%This article: 0.0%Kevin Boulandier: 0.4%7News: 0.4%Burden of Proof0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.1%Appeal to Nature0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Composition/Division0.0%This article: 0.0%Kevin Boulandier: 0.8%7News: 1.7%Anecdotal0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%No True Scotsman0.0%This article: 0.0%Kevin Boulandier: 0.8%7News: 0.7%Ambiguity (Equivocation)0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Middle Ground0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Personal Incredulity0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.1%Special Pleading0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.0%Genetic Fallacy0.0%This article: 0.0%Kevin Boulandier: 1.0%7News: 1.4%Unattributed Quote0.0%This article: 0.0%Kevin Boulandier: 0.3%7News: 0.9%Quote-first Misdirection0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 1.6%Biased Writer Voice0.0%This article: 0.0%Kevin Boulandier: 0.4%7News: 0.4%Indoctrination0.0%This article: 0.0%Kevin Boulandier: 0.5%7News: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Kevin Boulandier: 0.0%7News: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Kevin Boulandier: 0.5%7News: 0.6%Attempt to Sell a Product or S…0.0%

129 words analyzed.

Speakers

1speaker12%attributed speech114writer words
Selected voice

City of Miami Police

100%flagged-word coverage
15 attributed words100% of attributed speech15% 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.