Following cyclist's death, Boston City Council recommits to eliminating traffic fatalities by 2030 14%

By Andrea Perdomo-Hernandez22%

7/23/2026, 8:49:36 AM

BS Summary: This article contains 12 faulty reasoning types, including Anecdotal, Negativity Bias, and Confirmation Bias, with Optimism Bias as the most egregious example at 15.9% saturation with 94 hits. Analysis detected 459 faulty-reasoning hits from 593 analyzed words, generating a BS Score of 30.2% and a BS Rank of 14% (18,969 of 21,887 articles). This article is better (less manipulative) than 86.70% of the article peer group.

Boston city councilors have reaffirmed a city goal to eliminate traffic deaths by 2030. 
Achieving that will require an “all hands on deck” effort from local leaders and residents, according to one of the councilors who brought the measure forward. 
Councilors unanimously approved a resolution Wednesday to recommit to Vision Zero, a 2015 vow to eliminate severe traffic collisions and fatalities. 
The move comes in the weeks following the death of Boston transportation planner Louisa Gag, who was fatally struck by a truck driver while riding her bike. 
The measure was cosponsored by District 5 Councilor Enrique Pepén, who represents parts of Roslindale, Mattapan and Hyde Park. 
In an interview with WBUR, he said he “felt that it was the right timing for us to recommit ourselves as we are nearing the 2030 benchmark of saying 'What are we doing here in the city of Boston to make our streets safer?' 
" 
Pepén said the number one issue constituents contact him about is street safety. 
 They want speed humps, more crosswalks. 
They want to slow drivers down. 
They want safer intersections,” he said. 
With a little over three years left to reach the policy’s 2030 benchmark, Pepén said getting to zero traffic fatalities in Boston is “ambitious” but attainable. 
“We already have a game plan,” he said. 
 The problem is with the implementation of it. 
We just have to make sure that the decisions that are being made for the projects that are being considered are actually followed through.” 
Advancing street safety projects will require coordination with Mayor Michelle Wu and the city’s transportation department, along with support from the community, Pepen said. 
Slowing down cars is an essential part of reducing serious traffic crashes and fatalities, which will require  shifting the culture of how we act as drivers, and also just building more awareness of the importance of just safety in general,” he said. 
Brendan Kearney is the executive director of WalkMassachusetts, a nonprofit pedestrian and road safety organization which is part of the Vision Zero Massachusetts coalition. 
His group was among advocates calling for the city to recommit to Vision Zero following Gag’s death. 
Kearney said “it’s great to see” Boston recommit to Vision Zero, but he's eager to learn how how the city plans to accomplish that goal. 
 A big frustration is when projects just get stuck in the planning and people can't see the change on the street," Kearney said. 
“So getting back to a place where we can move from community engagement to design to implementation, I think, is very important.” 
Getting to zero traffic deaths in such a short period is “a big goal,” but Kearney said small steps, like installing speed humps and crosswalks, can be very effective at calming traffic and promoting road safety while the city works toward larger projects. 
Pepén said recommitting to Vision Zero means the council will  support any and every project that is going to make a street safer. 
To support the funding for the projects that are going to make the streets safer.” 
”We have to put our words into action to make sure that we are seeing those improvements tangibly on the streets,” he said. 
At last week's vigil for Gag, Wu promised to step up enforcement of blocked street infrastructure like crosswalks and double parking. 
She also said the city had a plan to install or replace bike lane infrastructure. 
Wu said her office would release more details soon. 
Article reasoning-pattern comparisonThis article: 7.4%Andrea Perdomo-Hernandez: 1.7%Cognoscenti: 2.4%Confirmation Bias7.4%This article: 0.0%Andrea Perdomo-Hernandez: 0.8%Cognoscenti: 0.5%Anchoring Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 1.0%Cognoscenti: 2.3%Availability Heuristic0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.7%Representativeness Heuristic0.0%This article: 0.0%Andrea Perdomo-Hernandez: 1.0%Cognoscenti: 0.5%Hindsight Bias0.0%This article: 1.3%Andrea Perdomo-Hernandez: 1.2%Cognoscenti: 1.4%Overconfidence Bias1.3%This article: 7.3%Andrea Perdomo-Hernandez: 2.4%Cognoscenti: 3.9%Framing Effect7.3%This article: 3.5%Andrea Perdomo-Hernandez: 0.6%Cognoscenti: 0.8%Loss Aversion3.5%This article: 0.0%Andrea Perdomo-Hernandez: 1.9%Cognoscenti: 0.5%Status Quo Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Sunk Cost Effect0.0%This article: 15.9%Andrea Perdomo-Hernandez: 4.3%Cognoscenti: 3.4%Optimism Bias15.9%This article: 0.0%Andrea Perdomo-Hernandez: 0.7%Cognoscenti: 0.7%Pessimism Bias0.0%This article: 8.6%Andrea Perdomo-Hernandez: 2.9%Cognoscenti: 5.0%Negativity Bias8.6%This article: 0.0%Andrea Perdomo-Hernandez: 2.3%Cognoscenti: 1.1%Self-Serving Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 1.3%Cognoscenti: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Actor-Observer Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.3%Cognoscenti: 0.7%In-Group Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.4%Cognoscenti: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 3.6%Cognoscenti: 2.0%Halo Effect0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Horn Effect0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.4%Cognoscenti: 0.9%Recency Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.2%Primacy Effect0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Blind-Spot Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.4%Ad Hominem0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.3%Straw Man0.0%This article: 0.0%Andrea Perdomo-Hernandez: 1.7%Cognoscenti: 2.6%Appeal to Authority0.0%This article: 4.0%Andrea Perdomo-Hernandez: 0.9%Cognoscenti: 1.7%False Dilemma4.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.3%Slippery Slope0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Circular Reasoning0.0%This article: 6.2%Andrea Perdomo-Hernandez: 1.3%Cognoscenti: 3.5%Hasty Generalization6.2%This article: 0.0%Andrea Perdomo-Hernandez: 0.2%Cognoscenti: 0.2%Red Herring0.0%This article: 0.0%Andrea Perdomo-Hernandez: 1.1%Cognoscenti: 0.6%Bandwagon0.0%This article: 0.0%Andrea Perdomo-Hernandez: 18.0%Cognoscenti: 5.4%Appeal to Emotion0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.5%Begging the Question0.0%This article: 0.0%Andrea Perdomo-Hernandez: 2.7%Cognoscenti: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.0%Tu Quoque0.0%This article: 4.2%Andrea Perdomo-Hernandez: 0.8%Cognoscenti: 0.4%Burden of Proof4.2%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.2%Appeal to Nature0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.2%Composition/Division0.0%This article: 10.5%Andrea Perdomo-Hernandez: 1.3%Cognoscenti: 2.3%Anecdotal10.5%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%No True Scotsman0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.1%Cognoscenti: 0.7%Ambiguity (Equivocation)0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Middle Ground0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.0%Personal Incredulity0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.0%Special Pleading0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.0%Genetic Fallacy0.0%This article: 4.4%Andrea Perdomo-Hernandez: 1.2%Cognoscenti: 0.9%Unattributed Quote4.4%This article: 0.0%Andrea Perdomo-Hernandez: 1.0%Cognoscenti: 0.6%Quote-first Misdirection0.0%This article: 4.0%Andrea Perdomo-Hernandez: 1.8%Cognoscenti: 3.0%Biased Writer Voice4.0%This article: 0.0%Andrea Perdomo-Hernandez: 1.3%Cognoscenti: 1.4%Indoctrination0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Andrea Perdomo-Hernandez: 0.0%Cognoscenti: 1.2%Attempt to Sell a Product or S…0.0%

593 words analyzed.

Speakers

4speakers77%attributed speech138writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageEnrique Pepén • 44 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageEnrique Pepén • 13 words • 0.0% coverageEnrique Pepén • 7 words • 0.0% coverageEnrique Pepén • 6 words • 0.0% coverageEnrique Pepén • 6 words • 0.0% coverageEnrique Pepén • 26 words • 0.0% coverageEnrique Pepén • 8 words • 0.0% coverageEnrique Pepén • 9 words • 0.0% coverageEnrique Pepén • 24 words • 100.0% coverageEnrique Pepén • 24 words • 0.0% coverageEnrique Pepén • 43 words • 0.0% coverageWalkMassachusetts • 24 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageBrendan Kearney • 25 words • 0.0% coverageBrendan Kearney • 24 words • 0.0% coverageBrendan Kearney • 22 words • 0.0% coverageBrendan Kearney • 43 words • 0.0% coverageEnrique Pepén • 24 words • 0.0% coverageEnrique Pepén • 15 words • 0.0% coverageEnrique Pepén • 23 words • 0.0% coverageMichelle Wu • 21 words • 0.0% coverageMichelle Wu • 15 words • 0.0% coverageMichelle Wu • 9 words • 0.0% coverage
Selected voice

Brendan Kearney

81%flagged-word coverage
114 attributed words25% of attributed speech38% writer coverage
0%10.0%20.0%Unattributed Quote-18.8 ptsWriter: 18.8%Brendan Kearney: 0.0%0.0%

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

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Analysis

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