Seattle's traffic deaths are climbing. One City Council member wants an audit to find out why 69%

By Anna Boiko-Weyrauch0%

4/16/2026, 5:00:02 PM

BS Summary: This article contains 21 faulty reasoning types, including Negativity Bias, False Dilemma, and Overconfidence Bias, with Appeal to Authority as the most egregious example at 35.4% saturation with 164 hits. Analysis detected 937 faulty-reasoning hits from 463 analyzed words, generating a BS Score of 62.1% and a BS Rank of 69% (6,874 of 21,887 articles). This article is worse (more manipulative) than 68.60% of the article peer group.

Seattle’s goal is zero traffic deaths and serious injuries by 2030. 
Right now, the numbers are far from zero  and going nowhere but up. 
Last year 219 people were seriously injured on Seattle streets, the majority of whom were driving or passengers, and around a third were pedestrians, according to a Seattle Department of Transportation presentation to the Seattle City Council Transportation, Waterfront, and Seattle Center Committee on Thursday. 
As for deaths, 27 people died in traffic collisions last year, and the majority (18) were people walking. 
This fall, the city auditor will formally assess the Seattle’s Vision Zero program, at the request of Councilmember Rob Saka. 
“This audit will better position our city to actually achieve our ambitious Vision Zero goals and save lives, so stay tuned,” he said. 
RELATED: Seattle has a long road ahead to eliminate all traffic deaths by 2030 
Advocates testified before council members that they already know where the problem is. 
“We’re still talking about the same streets,” said the Seattle Streets Alliance Executive Director Gordon Padelford. 
Namely Rainier Avenue, Aurora Avenue, Martin Luther King Jr. 
Way, Lake City Way, and Fourth Ave South, which are areas already flagged by the Seattle Department of Transportation as hot spots for injuries. 
“And the ingredient that’s been missing has not been a lack of ideas or commitment from SDOT, it’s been a lack of political will.” 
Specifically, he said, making tough changes to streets that might inconvenience drivers, but ultimately increase safety. 
SDOT Chief Transportation Safety Officer Venu Neman, told council members that for the city to achieve the Vision Zero goal, it needs to invest in as many projects as possible on the “high injury” corridors, such as Aurora and Rainier, to “fundamentally shift the dynamics” on those streets. 
RELATED: Can AI reduce traffic deaths? 
These Seattle engineers are putting it to the test 
Reducing speeds on arterial streets would also improve safety, he said. 
Carlo Alcantara of the Aurora Reimagined Coalition called lack of progress toward the Vision Zero goal “crisis territory” and proposed a rapid response program to immediately fix unsafe areas after a crash. 
“That means we do quick builds, we install semi-permanent street re-reconfigurations for safety,” Alcantara said. 
The audit this fall wouldn’t be the first time the Vision Zero program gets official, line-by-line scrutiny. 
Transportation officials completed a “top to bottom” review of the program back in 2023, as reported by the Seattle Bike Blog. 
SDOT’s presentation did not include data on traffic collisions and injuries that adjusted for any changes in local population from 2015 to 2025, or changes in traffic volume. 
RELATED: Distraction, speeding and alcohol contribute to a 16-year high in traffic deaths 
Article reasoning-pattern comparisonThis article: 9.5%Anna Boiko-Weyrauch: 1.7%KUOW: 2.6%Confirmation Bias9.5%This article: 0.0%Anna Boiko-Weyrauch: 1.1%KUOW: 1.3%Anchoring Bias0.0%This article: 4.5%Anna Boiko-Weyrauch: 3.5%KUOW: 3.4%Availability Heuristic4.5%This article: 0.0%Anna Boiko-Weyrauch: 1.2%KUOW: 1.2%Representativeness Heuristic0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.5%KUOW: 0.7%Hindsight Bias0.0%This article: 16.4%Anna Boiko-Weyrauch: 1.9%KUOW: 1.4%Overconfidence Bias16.4%This article: 2.8%Anna Boiko-Weyrauch: 6.2%KUOW: 7.4%Framing Effect2.8%This article: 0.0%Anna Boiko-Weyrauch: 0.8%KUOW: 1.0%Loss Aversion0.0%This article: 0.0%Anna Boiko-Weyrauch: 1.1%KUOW: 1.0%Status Quo Bias0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.2%Sunk Cost Effect0.0%This article: 13.2%Anna Boiko-Weyrauch: 4.7%KUOW: 3.8%Optimism Bias13.2%This article: 6.0%Anna Boiko-Weyrauch: 1.4%KUOW: 1.8%Pessimism Bias6.0%This article: 26.3%Anna Boiko-Weyrauch: 7.4%KUOW: 8.0%Negativity Bias26.3%This article: 0.0%Anna Boiko-Weyrauch: 0.7%KUOW: 2.0%Self-Serving Bias0.0%This article: 5.2%Anna Boiko-Weyrauch: 0.6%KUOW: 0.9%Fundamental Attribution Error5.2%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.2%Actor-Observer Bias0.0%This article: 0.0%Anna Boiko-Weyrauch: 1.3%KUOW: 2.0%In-Group Bias0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.2%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Anna Boiko-Weyrauch: 1.8%KUOW: 2.7%Halo Effect0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.1%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 9.1%Anna Boiko-Weyrauch: 1.2%KUOW: 1.1%Recency Bias9.1%This article: 0.0%Anna Boiko-Weyrauch: 0.3%KUOW: 0.4%Primacy Effect0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.1%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.1%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.3%Straw Man0.0%This article: 35.4%Anna Boiko-Weyrauch: 4.5%KUOW: 4.3%Appeal to Authority35.4%This article: 20.3%Anna Boiko-Weyrauch: 2.3%KUOW: 1.4%False Dilemma20.3%This article: 3.5%Anna Boiko-Weyrauch: 0.5%KUOW: 0.9%Slippery Slope3.5%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.1%Circular Reasoning0.0%This article: 6.9%Anna Boiko-Weyrauch: 4.9%KUOW: 4.1%Hasty Generalization6.9%This article: 0.0%Anna Boiko-Weyrauch: 0.3%KUOW: 0.3%Red Herring0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.5%KUOW: 0.8%Bandwagon0.0%This article: 9.9%Anna Boiko-Weyrauch: 6.5%KUOW: 6.1%Appeal to Emotion9.9%This article: 5.0%Anna Boiko-Weyrauch: 0.6%KUOW: 0.8%Begging the Question5.0%This article: 2.8%Anna Boiko-Weyrauch: 1.6%KUOW: 2.2%Post Hoc (False Cause)2.8%This article: 0.0%Anna Boiko-Weyrauch: 0.1%KUOW: 0.1%Tu Quoque0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.3%KUOW: 0.3%Burden of Proof0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.2%KUOW: 0.2%Appeal to Nature0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.3%KUOW: 0.2%Composition/Division0.0%This article: 2.8%Anna Boiko-Weyrauch: 3.7%KUOW: 3.3%Anecdotal2.8%This article: 0.0%Anna Boiko-Weyrauch: 0.2%KUOW: 0.1%No True Scotsman0.0%This article: 0.0%Anna Boiko-Weyrauch: 1.0%KUOW: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.2%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.3%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.2%Genetic Fallacy0.0%This article: 5.0%Anna Boiko-Weyrauch: 1.4%KUOW: 1.0%Unattributed Quote5.0%This article: 5.0%Anna Boiko-Weyrauch: 1.4%KUOW: 0.8%Quote-first Misdirection5.0%This article: 11.4%Anna Boiko-Weyrauch: 3.6%KUOW: 3.2%Biased Writer Voice11.4%This article: 0.0%Anna Boiko-Weyrauch: 1.6%KUOW: 1.5%Indoctrination0.0%This article: 0.0%Anna Boiko-Weyrauch: 1.3%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Anna Boiko-Weyrauch: 0.0%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 1.3%Anna Boiko-Weyrauch: 0.7%KUOW: 1.3%Attempt to Sell a Product or S…1.3%

463 words analyzed.

Speakers

7speakers66%attributed speech159writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 5 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageSeattle Department of Transportation • 45 words • 0.0% coverageWriter's voice • 18 words • 0.0% coveragecity auditor • 20 words • 0.0% coverageRob Saka • 23 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageGordon Padelford • 16 words • 0.0% coverageGordon Padelford • 9 words • 0.0% coverageSeattle Department of Transportation • 24 words • 0.0% coverageGordon Padelford • 24 words • 0.0% coverageGordon Padelford • 16 words • 0.0% coverageVenu Neman • 48 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageVenu Neman • 11 words • 0.0% coverageCarlo Alcantara • 32 words • 0.0% coverageCarlo Alcantara • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageSeattle Bike Blog • 21 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverage
Selected voice

Rob Saka

100%flagged-word coverage
23 attributed words7.6% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Rob Saka: 100.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Rob Saka: 100.0%100.0%Biased Writer Voice-33.3 ptsWriter: 33.3%Rob Saka: 0.0%0.0%Attempt to Sell a Product -3.8 ptsWriter: 3.8%Rob Saka: 0.0%0.0%

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.