KTVU⁠61%

North Bay city lowers its speed limit, tickets will be issued starting in winter ⁠69%

7/22/2026, 10:37:26 PM

BS Summary: This article contains 25 faulty reasoning types, including Availability Heuristic, Biased Writer Voice, and Overconfidence Bias, with Anecdotal as the most egregious example at 30.5% saturation with 100 hits. Analysis detected 836 faulty-reasoning hits from 328 analyzed words, generating a BS Score of 62.2% and a BS Rank of ⁠69% (6,844 of 21,886 articles). This article is worse (more manipulative) than 68.70% of the article peer group.

San Rafael's City Council is putting its foot down when it comes to drivers with a lead foot. 
Slower speed limits are coming, starting with signage in the fall and enforcement by way of speeding tickets in the winter. 
Back in 2025, unhappy with the collisions and dangers to pedestrians and cyclists, the city reduced speed limits in its downtown area with significant success. 
"As we were going through this phase one effort, we saw a lot of community input and feedback in expanding these reductions to roadways outside of downtown San Rafael," said Kelly Abey, a city traffic engineer. 
This fall, 18 different road sections will lower their speed limit by 5 miles an hour. 
By winter, tickets will be issued to violators. 
"This span between 20 and 40 miles an hour really greatly drives the outcome of people that are involved in collisions. 20 miles an hour; there's a 10% chance that that results in a fatality. 
But that vehicle that's traveling at 40 miles an hour, there's a chance of fatality. 
[It] increases greatly to 80%," said James Jessup, another traffic engineer. 
Our reporter, Tom Vacar, even took a speed gun to try a few tests. 
The average vehicle speed in the 25 mph speed limit zone was 33 mph. 
Since the council passed the measure, residents living on those road sections are happy and grateful. 
"We are excited The Miracle Mile and Weston Avenue and Greenfield Avenue have been identified," said Daniel of the Western Neighborhood Association Board. 
"These are the areas within our neighborhood that our community members have desperately wanted slower speeds on." 
"I live on Lincoln Avenue and I've long felt that the speed limit on the north end of the street is much too fast for a dense residential area because so many families and children live in this neighborhood," said San Rafael resident David Seltzer. 
Article reasoning-pattern comparisonThis article: 15.9%KTVU: 2.9%Confirmation Bias15.9%This article: 6.4%KTVU: 1.0%Anchoring Bias6.4%This article: 22.3%KTVU: 3.1%Availability Heuristic22.3%This article: 0.0%KTVU: 0.5%Representativeness Heuristic0.0%This article: 7.6%KTVU: 0.4%Hindsight Bias7.6%This article: 18.3%KTVU: 1.4%Overconfidence Bias18.3%This article: 4.3%KTVU: 6.0%Framing Effect4.3%This article: 2.4%KTVU: 1.1%Loss Aversion2.4%This article: 0.0%KTVU: 0.7%Status Quo Bias0.0%This article: 0.0%KTVU: 0.3%Sunk Cost Effect0.0%This article: 14.6%KTVU: 6.0%Optimism Bias14.6%This article: 10.7%KTVU: 1.5%Pessimism Bias10.7%This article: 10.1%KTVU: 5.1%Negativity Bias10.1%This article: 4.9%KTVU: 3.1%Self-Serving Bias4.9%This article: 5.5%KTVU: 0.6%Fundamental Attribution Error5.5%This article: 0.0%KTVU: 0.3%Actor-Observer Bias0.0%This article: 7.0%KTVU: 1.7%In-Group Bias7.0%This article: 0.0%KTVU: 0.0%Out-Group Homogeneity Bias0.0%This article: 0.0%KTVU: 3.8%Halo Effect0.0%This article: 0.0%KTVU: 0.0%Horn Effect0.0%This article: 0.0%KTVU: 0.0%Dunning-Kruger Effect0.0%This article: 4.3%KTVU: 0.9%Recency Bias4.3%This article: 0.0%KTVU: 0.4%Primacy Effect0.0%This article: 0.0%KTVU: 0.1%Blind-Spot Bias0.0%This article: 0.0%KTVU: 0.0%Ad Hominem0.0%This article: 0.0%KTVU: 0.1%Straw Man0.0%This article: 14.3%KTVU: 4.0%Appeal to Authority14.3%This article: 0.0%KTVU: 0.9%False Dilemma0.0%This article: 0.0%KTVU: 0.0%Slippery Slope0.0%This article: 0.0%KTVU: 0.1%Circular Reasoning0.0%This article: 4.3%KTVU: 2.7%Hasty Generalization4.3%This article: 0.0%KTVU: 0.1%Red Herring0.0%This article: 5.2%KTVU: 0.2%Bandwagon5.2%This article: 12.5%KTVU: 7.0%Appeal to Emotion12.5%This article: 0.0%KTVU: 0.4%Begging the Question0.0%This article: 11.9%KTVU: 2.1%Post Hoc (False Cause)11.9%This article: 0.0%KTVU: 0.1%Tu Quoque0.0%This article: 0.0%KTVU: 0.6%Burden of Proof0.0%This article: 0.0%KTVU: 0.1%Appeal to Nature0.0%This article: 0.0%KTVU: 0.1%Composition/Division0.0%This article: 30.5%KTVU: 3.4%Anecdotal30.5%This article: 0.0%KTVU: 0.1%No True Scotsman0.0%This article: 4.6%KTVU: 1.9%Ambiguity (Equivocation)4.6%This article: 0.0%KTVU: 0.0%Gambler’s Fallacy0.0%This article: 0.0%KTVU: 0.1%Middle Ground0.0%This article: 0.0%KTVU: 0.0%Personal Incredulity0.0%This article: 0.0%KTVU: 0.4%Special Pleading0.0%This article: 0.0%KTVU: 0.2%Genetic Fallacy0.0%This article: 7.6%KTVU: 2.7%Unattributed Quote7.6%This article: 0.0%KTVU: 1.1%Quote-first Misdirection0.0%This article: 20.4%KTVU: 3.4%Biased Writer Voice20.4%This article: 5.2%KTVU: 0.8%Indoctrination5.2%This article: 0.0%KTVU: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%KTVU: 0.1%Politically Right Leaning Bias0.0%This article: 4.3%KTVU: 0.6%Attempt to Sell a Product or S…4.3%

328 words analyzed.

Speakers

4speakers55%attributed speech146writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 14 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageKelly Abey • 36 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageJames Jessup • 35 words • 100.0% coverageJames Jessup • 15 words • 0.0% coverageJames Jessup • 11 words • 0.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageDaniel • 23 words • 0.0% coverageDaniel • 17 words • 100.0% coverageDavid Seltzer • 45 words • 0.0% coverage
Selected voice

Daniel

100%flagged-word coverage
40 attributed words22% of attributed speech89% writer coverage
0%22.5%45.0%Indoctrination+42.5 ptsWriter: 0.0%Daniel: 42.5%42.5%Biased Writer Voice-21.9 ptsWriter: 21.9%Daniel: 0.0%0.0%Unattributed Quote-17.1 ptsWriter: 17.1%Daniel: 0.0%0.0%Attempt to Sell a Product -9.6 ptsWriter: 9.6%Daniel: 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.