Man shot, killed on Detroit’s west side; suspect detained 6%

By Amaya Kuznicki4%

7/19/2026, 4:03:29 PM

BS Summary: This article contains 6 faulty reasoning types, including Framing Effect, Negativity Bias, and Appeal to Authority, with Anecdotal as the most egregious example at 10.1% saturation with 17 hits. Analysis detected 92 faulty-reasoning hits from 169 analyzed words, generating a BS Score of 21.5% and a BS Rank of 6% (20,702 of 21,886 articles). This article is better (less manipulative) than 94.60% of the article peer group.

DETROIT  A man is dead following a shooting on Detroit’s west side Saturday morning, according to the Detroit Police Department. 
Officers responded to the scene around 9:05 a.m. after receiving a call about a shooting stemming from a fight between two people on Tuller Street. 
When officers arrived, they found one man dead. 
Investigators recovered two weapons at the scene. 
One person has been detained in connection with the shooting. 
DPD said there is no threat to the public and that the incident was isolated. 
Animal control also responded to the scene and took in three dogs. 
Neighbors said they didn’t hear any gunfire and woke up to find the area swarming with police. 
Residents said violence is not uncommon on the block and that something needs to change. 
DPD has most of the block taped off while the investigation continues. 
Additional details will be updated as they become available. 
Copyright 2026 by WDIV ClickOnDetroit - All rights reserved. 
Article reasoning-pattern comparisonThis article: 0.0%Amaya Kuznicki: 0.0%WDIV: 3.0%Confirmation Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.7%Anchoring Bias0.0%This article: 0.0%Amaya Kuznicki: 3.4%WDIV: 3.0%Availability Heuristic0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.8%Representativeness Heuristic0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.2%Hindsight Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.3%Overconfidence Bias0.0%This article: 8.9%Amaya Kuznicki: 3.0%WDIV: 4.4%Framing Effect8.9%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.7%Loss Aversion0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.3%Status Quo Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%Sunk Cost Effect0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 2.0%Optimism Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.7%Pessimism Bias0.0%This article: 8.9%Amaya Kuznicki: 8.9%WDIV: 6.0%Negativity Bias8.9%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.8%Self-Serving Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.3%Actor-Observer Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.7%In-Group Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 2.2%Halo Effect0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%Horn Effect0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.1%Recency Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Primacy Effect0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Blind-Spot Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.2%Ad Hominem0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.2%Straw Man0.0%This article: 8.9%Amaya Kuznicki: 5.9%WDIV: 3.9%Appeal to Authority8.9%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.7%False Dilemma0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.2%Slippery Slope0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.3%Circular Reasoning0.0%This article: 8.9%Amaya Kuznicki: 8.9%WDIV: 2.2%Hasty Generalization8.9%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%Red Herring0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.6%Bandwagon0.0%This article: 8.9%Amaya Kuznicki: 3.0%WDIV: 3.5%Appeal to Emotion8.9%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.5%Begging the Question0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 2.8%Post Hoc (False Cause)0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.2%Tu Quoque0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.1%Burden of Proof0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.2%Appeal to Nature0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Composition/Division0.0%This article: 10.1%Amaya Kuznicki: 3.4%WDIV: 1.9%Anecdotal10.1%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%No True Scotsman0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 2.1%Ambiguity (Equivocation)0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Middle Ground0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Personal Incredulity0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.0%Special Pleading0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Genetic Fallacy0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.8%Unattributed Quote0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.5%Quote-first Misdirection0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.7%Biased Writer Voice0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.9%Indoctrination0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Amaya Kuznicki: 0.0%WDIV: 1.7%Attempt to Sell a Product or S…0.0%

169 words analyzed.

Speakers

2speakers14%attributed speech145writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageDPD • 15 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWDIV ClickOnDetroit • 9 words • 0.0% coverage
Selected voice

DPD

100%flagged-word coverage
15 attributed words63% of attributed speech22% 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.