Judge pauses WA's new law creating standards for sheriff candidates 9%

By Sarah Mizes-Tan41%

4/30/2026, 9:41:26 PM

BS Summary: This article contains 6 faulty reasoning types, including Self-Serving Bias, Special Pleading, and Framing Effect, with Appeal to Emotion as the most egregious example at 16.2% saturation with 63 hits. Analysis detected 230 faulty-reasoning hits from 388 analyzed words, generating a BS Score of 26% and a BS Rank of 9% (19,925 of 21,886 articles). This article is better (less manipulative) than 91.00% of the article peer group.

A Thurston County Superior Court judge on Wednesday paused a new law that would have put more requirements on candidates running for county sheriff in Washington. 
The ruling came less than a day before the law was set to go into effect. 
The law would have required local sheriffs to be certified by the state’s Criminal Justice Training Commission and submit to a background check before filing to run for election. 
It also mandated that sheriffs need at least five years of law enforcement experience. 
Thurston County Judge Christine Schaller ruled the new law, Senate Bill 5974, unconstitutional. 
She said the requirements for elected sheriffs as set out by the new law impose a higher standard on people looking to run for sheriff’s office than for other elected offices. 
“It appears that the legislature does not trust the people of this state of Washington to have good judgement and elect people to the office of sheriff who will promote those goals,” Schaller said. 
“Or that voters will not vote out a sheriff who does not promote those goals or who does not represent what each voter believes is important to that position.” 
Four sheriffs who are up for reelection this year  John Nowels of Spokane County, Glenn Blakeslee of Pend Oreille County, Brad Manke of Stevens County, and Ray Maycumber of Ferry County  brought the initial lawsuit against the state for passing SB 5974. 
The group said Wednesday they were relieved to see the law paused. 
“If this law was allowed to go into effect, it would also trespass on our constitutional right to run for office and to have unfair qualifications put on sheriffs that are put on no one else,” Nowels said. 
With the temporary injunction in place pausing these new requirements, Blakeslee said he wouldn’t be surprised to see more candidates file for sheriff elections in the next week. 
In addition to having to submit a background test and be certified by a commission, the new law would’ve required candidates to be at least 25 years old, and go through a social media and background check. 
Supporters of the law have said it would hold sheriffs to the same standards as police chiefs. 
The Solicitor General’s Office is expected to appeal the case. 
Article reasoning-pattern comparisonThis article: 0.0%Sarah Mizes-Tan: 2.3%KUOW: 2.6%Confirmation Bias0.0%This article: 0.0%Sarah Mizes-Tan: 0.4%KUOW: 1.3%Anchoring Bias0.0%This article: 0.0%Sarah Mizes-Tan: 2.7%KUOW: 3.4%Availability Heuristic0.0%This article: 0.0%Sarah Mizes-Tan: 1.3%KUOW: 1.2%Representativeness Heuristic0.0%This article: 0.0%Sarah Mizes-Tan: 0.6%KUOW: 0.7%Hindsight Bias0.0%This article: 0.0%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Overconfidence Bias0.0%This article: 8.8%Sarah Mizes-Tan: 7.4%KUOW: 7.4%Framing Effect8.8%This article: 0.0%Sarah Mizes-Tan: 0.7%KUOW: 1.0%Loss Aversion0.0%This article: 7.2%Sarah Mizes-Tan: 1.2%KUOW: 1.0%Status Quo Bias7.2%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Sunk Cost Effect0.0%This article: 7.5%Sarah Mizes-Tan: 3.2%KUOW: 3.8%Optimism Bias7.5%This article: 0.0%Sarah Mizes-Tan: 1.5%KUOW: 1.8%Pessimism Bias0.0%This article: 0.0%Sarah Mizes-Tan: 5.4%KUOW: 8.0%Negativity Bias0.0%This article: 9.8%Sarah Mizes-Tan: 2.3%KUOW: 2.0%Self-Serving Bias9.8%This article: 0.0%Sarah Mizes-Tan: 0.6%KUOW: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.2%Actor-Observer Bias0.0%This article: 0.0%Sarah Mizes-Tan: 2.0%KUOW: 2.0%In-Group Bias0.0%This article: 0.0%Sarah Mizes-Tan: 0.7%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Sarah Mizes-Tan: 1.1%KUOW: 2.7%Halo Effect0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Sarah Mizes-Tan: 1.0%KUOW: 1.1%Recency Bias0.0%This article: 0.0%Sarah Mizes-Tan: 0.5%KUOW: 0.4%Primacy Effect0.0%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sarah Mizes-Tan: 1.1%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.3%Straw Man0.0%This article: 0.0%Sarah Mizes-Tan: 4.1%KUOW: 4.3%Appeal to Authority0.0%This article: 0.0%Sarah Mizes-Tan: 1.2%KUOW: 1.4%False Dilemma0.0%This article: 0.0%Sarah Mizes-Tan: 2.1%KUOW: 0.9%Slippery Slope0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Circular Reasoning0.0%This article: 0.0%Sarah Mizes-Tan: 3.9%KUOW: 4.1%Hasty Generalization0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.3%Red Herring0.0%This article: 0.0%Sarah Mizes-Tan: 1.0%KUOW: 0.8%Bandwagon0.0%This article: 16.2%Sarah Mizes-Tan: 8.3%KUOW: 6.1%Appeal to Emotion16.2%This article: 0.0%Sarah Mizes-Tan: 0.9%KUOW: 0.8%Begging the Question0.0%This article: 0.0%Sarah Mizes-Tan: 1.7%KUOW: 2.2%Post Hoc (False Cause)0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.1%Tu Quoque0.0%This article: 0.0%Sarah Mizes-Tan: 0.6%KUOW: 0.3%Burden of Proof0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.2%Appeal to Nature0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Composition/Division0.0%This article: 0.0%Sarah Mizes-Tan: 1.8%KUOW: 3.3%Anecdotal0.0%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.1%No True Scotsman0.0%This article: 0.0%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Personal Incredulity0.0%This article: 9.8%Sarah Mizes-Tan: 0.4%KUOW: 0.2%Special Pleading9.8%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.2%Genetic Fallacy0.0%This article: 0.0%Sarah Mizes-Tan: 0.8%KUOW: 1.0%Unattributed Quote0.0%This article: 0.0%Sarah Mizes-Tan: 1.4%KUOW: 0.8%Quote-first Misdirection0.0%This article: 0.0%Sarah Mizes-Tan: 2.2%KUOW: 3.2%Biased Writer Voice0.0%This article: 0.0%Sarah Mizes-Tan: 1.6%KUOW: 1.5%Indoctrination0.0%This article: 0.0%Sarah Mizes-Tan: 1.9%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Sarah Mizes-Tan: 1.4%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Sarah Mizes-Tan: 0.5%KUOW: 1.3%Attempt to Sell a Product or S…0.0%

388 words analyzed.

Speakers

3speakers41%attributed speech228writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageChristine Schaller • 31 words • 0.0% coverageChristine Schaller • 34 words • 0.0% coverageChristine Schaller • 29 words • 0.0% coverageWriter's voice • 44 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageJohn Nowels • 38 words • 0.0% coverageGlenn Blakeslee • 28 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverage
Selected voice

John Nowels

100%flagged-word coverage
38 attributed words24% of attributed speech0% 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.

Loading…
Loading…
Loading…
Loading…
Loading…
Loading…

Analysis

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