Homicides, shootings and carjackings fall as Milwaukee violence prevention efforts show progress 62%

By Devin Blake80% Milwaukee Neighborhood News Service33%

7/18/2026, 11:00:00 AM

BS Summary: This article contains 31 faulty reasoning types, including Optimism Bias, Post Hoc (False Cause), and Availability Heuristic, with Anecdotal as the most egregious example at 27.1% saturation with 155 hits. Analysis detected 1,527 faulty-reasoning hits from 572 analyzed words, generating a BS Score of 57.2% and a BS Rank of 62% (8,448 of 21,886 articles). This article is worse (more manipulative) than 61.40% of the article peer group.

Progress is possible, and Milwaukee’s decline in violent crime in recent years suggest it’s happening. 
Advocates and violence prevention workers say keeping crime trending down depends on investment in the trusted relationships that make violence less likely. 
Examples of investments that can create tangible alternatives to violence, they said, are mentorship instead of isolation, employment instead of boredom and community instead of retaliation. 
At the center of it all is trust, said Reggie Moore, director of community safety, policy and engagement for the Comprehensive Injury Center at the Medical College of Wisconsin. 
“Trust is universal,” Moore said. 
“Trust is the door opener.” 
City and county leaders highlighted declines in violent crime on July 7 as they presented data for the first half of 2026. 
Compared with the first half of 2025, homicides fell 30%, nonfatal shootings fell 27%, and carjackings fell 34%. 
“Milwaukee is a safer community,” Milwaukee Mayor Cavalier Johnson said. 
“This continues a multiyear trend that is very positive news.” 
Karin Tyler, director of the city Department of Community Wellness and Safety, said the progress reflects years of collaboration among law enforcement, violence prevention organizations, community groups and residents. 
“Milwaukee is making progress, and that progress belongs to all of us,” Tyler said. 
Aziz Abdullah, co-founder of INPOWER Solutions, said he doesn’t want to gloss over the progress or take it for granted. 
INPOWER is one of several organizations participating in the Destined for Greater initiative , a collaborative effort to reduce violence in Milwaukee County. 
“Lives are being protected, and that should not be overlooked,” Abdullah said. 
Moore pointed to reductions in retaliatory shootings, group-based gun violence and youth-related gun violence as signs of progress. 
He said programs such as 414LIFE intentionally focus on the people and neighborhoods at highest risk of gun violence. 
‘We don’t shoot up stuff’ 
Vaun Mayes, a community organizer and violence interrupter with the city’s Department of Community Wellness and Safety, said he sees these interventions firsthand every day. 
“We also get to see the changes in some of the key players who are even doing a bit of self-control and self-policing,” Mayes said. 
He described one instance at a block party where two groups were in conflict and one group was armed. 
Mayes said he heard one of the young men say, “Aye, we don’t shoot up stuff where it’s kids at.” 
Community violence intervention workers de-escalated the conflict, and the result, Mayes said, was that no one was shot. 
“That’s one of maybe over a dozen incidents in the past two months I can give you,” he said. 
Violence prevention workers and local leaders said the local efforts are by no means complete. 
“We still have work to do,” Tyler said. 
Milwaukee Police Chief Jeffrey Norman pointed to violence on the Fourth of July weekend as an example. 
Moore said what’s needed is more employment and educational opportunities and helping people develop the skills to resolve conflicts without violence. 
Bridget Whitaker, executive director of Safe & Sound, said residents continue to express concerns about reckless driving, youth conflicts, neighborhood safety and other quality-of-life issues. 
“Ultimately, the goal isn’t simply fewer crimes on a dashboard,” Whitaker said in an email. 
“It’s creating neighborhoods where people feel comfortable sitting on their front porch, children can safely walk to the park, businesses can thrive and neighbors know and look out for one another.” 
Article reasoning-pattern comparisonThis article: 11.7%Devin Blake: 6.2%Wisconsin Watch: 2.1%Confirmation Bias11.7%This article: 3.1%Devin Blake: 2.1%Wisconsin Watch: 1.1%Anchoring Bias3.1%This article: 18.0%Devin Blake: 8.1%Wisconsin Watch: 2.2%Availability Heuristic18.0%This article: 4.5%Devin Blake: 1.5%Wisconsin Watch: 0.9%Representativeness Heuristic4.5%This article: 2.6%Devin Blake: 0.9%Wisconsin Watch: 0.3%Hindsight Bias2.6%This article: 5.1%Devin Blake: 1.7%Wisconsin Watch: 0.7%Overconfidence Bias5.1%This article: 5.6%Devin Blake: 4.5%Wisconsin Watch: 3.8%Framing Effect5.6%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 1.1%Loss Aversion0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.6%Status Quo Bias0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Sunk Cost Effect0.0%This article: 22.6%Devin Blake: 14.8%Wisconsin Watch: 2.5%Optimism Bias22.6%This article: 7.5%Devin Blake: 2.5%Wisconsin Watch: 1.7%Pessimism Bias7.5%This article: 13.3%Devin Blake: 4.4%Wisconsin Watch: 5.3%Negativity Bias13.3%This article: 8.6%Devin Blake: 2.9%Wisconsin Watch: 1.1%Self-Serving Bias8.6%This article: 4.4%Devin Blake: 1.5%Wisconsin Watch: 0.6%Fundamental Attribution Error4.4%This article: 5.1%Devin Blake: 1.7%Wisconsin Watch: 0.1%Actor-Observer Bias5.1%This article: 2.4%Devin Blake: 1.6%Wisconsin Watch: 1.1%In-Group Bias2.4%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Out-Group Homogeneity Bias0.0%This article: 12.4%Devin Blake: 4.1%Wisconsin Watch: 1.6%Halo Effect12.4%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Horn Effect0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.0%Dunning-Kruger Effect0.0%This article: 6.3%Devin Blake: 4.4%Wisconsin Watch: 0.9%Recency Bias6.3%This article: 1.7%Devin Blake: 0.6%Wisconsin Watch: 0.3%Primacy Effect1.7%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.0%Blind-Spot Bias0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.2%Ad Hominem0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Straw Man0.0%This article: 16.6%Devin Blake: 6.8%Wisconsin Watch: 3.1%Appeal to Authority16.6%This article: 6.3%Devin Blake: 3.6%Wisconsin Watch: 1.2%False Dilemma6.3%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.4%Slippery Slope0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Circular Reasoning0.0%This article: 9.4%Devin Blake: 4.8%Wisconsin Watch: 2.3%Hasty Generalization9.4%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.0%Red Herring0.0%This article: 2.4%Devin Blake: 0.8%Wisconsin Watch: 0.6%Bandwagon2.4%This article: 11.9%Devin Blake: 7.8%Wisconsin Watch: 4.0%Appeal to Emotion11.9%This article: 7.0%Devin Blake: 2.6%Wisconsin Watch: 0.5%Begging the Question7.0%This article: 21.7%Devin Blake: 7.9%Wisconsin Watch: 2.3%Post Hoc (False Cause)21.7%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Tu Quoque0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.3%Burden of Proof0.0%This article: 0.9%Devin Blake: 0.3%Wisconsin Watch: 0.4%Appeal to Nature0.9%This article: 1.7%Devin Blake: 0.6%Wisconsin Watch: 0.3%Composition/Division1.7%This article: 27.1%Devin Blake: 12.3%Wisconsin Watch: 2.8%Anecdotal27.1%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%No True Scotsman0.0%This article: 14.5%Devin Blake: 4.8%Wisconsin Watch: 1.2%Ambiguity (Equivocation)14.5%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Middle Ground0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.0%Personal Incredulity0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.0%Special Pleading0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.1%Genetic Fallacy0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.6%Unattributed Quote0.0%This article: 4.4%Devin Blake: 2.0%Wisconsin Watch: 1.3%Quote-first Misdirection4.4%This article: 0.0%Devin Blake: 0.7%Wisconsin Watch: 1.3%Biased Writer Voice0.0%This article: 4.0%Devin Blake: 1.3%Wisconsin Watch: 1.6%Indoctrination4.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Devin Blake: 0.0%Wisconsin Watch: 0.2%Politically Right Leaning Bias0.0%This article: 4.0%Devin Blake: 1.3%Wisconsin Watch: 1.8%Attempt to Sell a Product or S…4.0%

572 words analyzed.

Speakers

8speakers76%attributed speech135writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageReggie Moore • 29 words • 0.0% coverageReggie Moore • 5 words • 0.0% coverageReggie Moore • 5 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageCavalier Johnson • 10 words • 0.0% coverageCavalier Johnson • 10 words • 0.0% coverageKarin Tyler • 29 words • 0.0% coverageKarin Tyler • 14 words • 0.0% coverageAziz Abdullah • 20 words • 0.0% coverageINPOWER Solutions • 23 words • 100.0% coverageAziz Abdullah • 12 words • 0.0% coverageReggie Moore • 18 words • 0.0% coverageReggie Moore • 19 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageVaun Mayes • 25 words • 0.0% coverageVaun Mayes • 25 words • 0.0% coverageVaun Mayes • 19 words • 0.0% coverageVaun Mayes • 20 words • 100.0% coverageVaun Mayes • 18 words • 0.0% coverageVaun Mayes • 19 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageKarin Tyler • 8 words • 0.0% coverageJeffrey Norman • 17 words • 0.0% coverageReggie Moore • 21 words • 0.0% coverageBridget Whitaker • 25 words • 0.0% coverageBridget Whitaker • 15 words • 0.0% coverageBridget Whitaker • 31 words • 0.0% coverage
Selected voice

Cavalier Johnson

100%flagged-word coverage
20 attributed words4.6% of attributed speech100% writer coverage
0%2.5%5.0%Quote-first Misdirection-3.7 ptsWriter: 3.7%Cavalier Johnson: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.