Search underway for 2 women, 85 and 52, reported missing from NW Miami-Dade ⁠3%

By Rubén Rosario⁠60%

7/22/2026, 11:37:47 AM

BS Summary: This article contains 3 faulty reasoning types, including Framing Effect and Appeal to Emotion, with Unattributed Quote as the most egregious example at 19.1% saturation with 34 hits. Analysis detected 76 faulty-reasoning hits from 178 analyzed words, generating a BS Score of 13.3% and a BS Rank of ⁠3% (21,407 of 21,886 articles). This article is better (less manipulative) than 97.80% of the article peer group.

NORTHWEST MIAMI-DADE, FLA. 
(WSVN) - Authorities seek the public’s help in their search for two women who were reported missing from Northwest Miami-Dade. 
According to the Miami-Dade Sheriff’s Office, 85-year-old Bacilia Peralta Escobar and 52-year-old Lissette Morazan Peralta were last seen leaving a residence along the 1300 block of Northwest 132nd Street, at around noon on Tuesday. 
Investigators said the women have not contacted family since their disappearance and both meet the criteria for a missing endangered adult. 
Peralta Escobar stands 5 feet tall, weighs 165 pounds, and has blond hair and brown eyes. 
She was last seen wearing a shirt with black and white stripes and black leggings. 
Morazan Peralta stands 3 feet tall, weighs 100 pounds, and has brown hair and brown eyes. 
She was last seen wearing a black shirt and a beige skirt. 
Officials urge anyone with information on their wherabouts to contact MDSO Deputy A. 
Madrigal at 305-715-3300 (office), 305-715-3214 (desk), email u307222@mdso.com or Miami-Dade Crime Stoppers at 305-471-TIPS (8477). 
Article reasoning-pattern comparisonThis article: 0.0%Rubén Rosario: 3.2%WSVN: 2.5%Confirmation Bias0.0%This article: 0.0%Rubén Rosario: 1.0%WSVN: 0.9%Anchoring Bias0.0%This article: 0.0%Rubén Rosario: 4.5%WSVN: 3.6%Availability Heuristic0.0%This article: 0.0%Rubén Rosario: 1.8%WSVN: 1.3%Representativeness Heuristic0.0%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: 11.8%Rubén Rosario: 8.6%WSVN: 7.8%Framing Effect11.8%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: 0.0%Rubén Rosario: 12.2%WSVN: 11.2%Negativity Bias0.0%This article: 0.0%Rubén Rosario: 2.1%WSVN: 1.5%Self-Serving Bias0.0%This article: 0.0%Rubén Rosario: 1.3%WSVN: 1.6%Fundamental Attribution Error0.0%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: 0.0%Rubén Rosario: 1.3%WSVN: 1.5%Recency Bias0.0%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: 0.0%Rubén Rosario: 3.2%WSVN: 3.6%Appeal to Authority0.0%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: 11.8%Rubén Rosario: 4.7%WSVN: 4.8%Appeal to Emotion11.8%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: 19.1%Rubén Rosario: 1.9%WSVN: 2.0%Unattributed Quote19.1%This article: 0.0%Rubén Rosario: 2.0%WSVN: 1.4%Quote-first Misdirection0.0%This article: 0.0%Rubén Rosario: 3.4%WSVN: 3.2%Biased Writer Voice0.0%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%

178 words analyzed.

Speakers

1speaker31%attributed speech123writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageMiami-Dade Sheriff’s Office • 34 words • 100.0% coverageMiami-Dade Sheriff’s Office • 21 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverage
100%flagged-word coverage
55 attributed words100% of attributed speech0% writer coverage
0%32.5%65.0%Unattributed Quote+61.8 ptsWriter: 0.0%Miami-Dade Sheriff’s Office: 61.8%61.8%

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.