US Supreme Court may look at WA redistricting case 5%

By Sarah Mizes-Tan41%

5/19/2026, 3:34:15 PM

BS Summary: This article contains 14 faulty reasoning types, including Biased Writer Voice, False Dilemma, and Appeal to Emotion, with Unattributed Quote as the most egregious example at 8.7% saturation with 42 hits. Analysis detected 404 faulty-reasoning hits from 482 analyzed words, generating a BS Score of 19.2% and a BS Rank of 5% (20,955 of 21,887 articles). This article is better (less manipulative) than 95.70% of the article peer group.

The United States Supreme Court could weigh in on Washington state’s redraw of legislative district lines in Central Washington. 
The case comes in the wake of a national ruling on redistricting and raises questions about whether primary elections would happen on time in Washington. 
This map was the subject of a lawsuit, Soto Palmer v. 
Hobbs, that was settled two years ago. 
Opponents of that decision are now petitioning the nation’s highest court to examine the matter after a federal judge in Western Washington denied their request to re-open the case late last week. 
Washington state’s bipartisan redistricting commission attempted to set new legislative lines in 2021, but that map was challenged and ultimately redrawn to consolidate Latino communities in the Yakima Valley. 
Plaintiffs successfully argued that the original map divided those communities, diluting Latino voting power. 
U.S. 
District Court Judge Robert Lasnik affirmed the redrawn lines as valid in 2024. 
Lasnik declined last week to reconsider the matter. 
Opponents of the redrawn lines, including House Minority Leader Drew Stokesbary (R-Auburn), want the state to revert back to the 2021 map. 
They unsuccessfully petitioned the Supreme Court to take up the case in 2023. 
But the case has taken on new relevance after the U.S. 
Supreme Court’s April ruling in Louisiana v. 
Callais, which limited the use of race in redistricting. 
The Louisiana v. 
Callais ruling, which struck down congressional maps in Louisiana as racially discriminatory, kicked off a flurry of redistricting efforts in states across the country. 
Mississippi and North Dakota have also petitioned the Supreme Court over their respective legislative maps, but the court has declined to rule on them, instead asking lower courts to reconsider their decisions. 
The Supreme Court has a few options for handling Washington’s case: deny the petition and affirm the District Court’s ruling, order the District Court to reconsider its ruling in light of Louisiana v. 
Callais, or take up the case. 
Secretary of State Steve Hobbs, a Democrat, has said that overturning district lines this close to the August primary election would be a “recipe for chaos,” according to a quote from the Washington State Standard. 
Other experts think that’s unlikely to happen. 
Sonni Waknin, an attorney with the UCLA Voting Rights Project and one of the lead plaintiffs in the Soto Palmer v. 
Hobbs case, said if the Supreme Court were to take this case, a decision probably wouldn’t come in time to redraw lines for this election year or to delay this year’s primary. 
Waknin also argued that Washington’s redrawn legislative maps were not based solely on race, as opponents have been arguing. 
“What we're looking at is not two far-flung communities that have nothing in common with each other other than race. 
Here, it's a community that makes sense to be put together and is truly a community of interest,” Waknin said. 
Article reasoning-pattern comparisonThis article: 6.8%Sarah Mizes-Tan: 2.3%KUOW: 2.6%Confirmation Bias6.8%This article: 0.0%Sarah Mizes-Tan: 0.4%KUOW: 1.3%Anchoring Bias0.0%This article: 6.6%Sarah Mizes-Tan: 2.7%KUOW: 3.4%Availability Heuristic6.6%This article: 4.1%Sarah Mizes-Tan: 1.3%KUOW: 1.2%Representativeness Heuristic4.1%This article: 0.0%Sarah Mizes-Tan: 0.6%KUOW: 0.7%Hindsight Bias0.0%This article: 6.6%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Overconfidence Bias6.6%This article: 0.0%Sarah Mizes-Tan: 7.4%KUOW: 7.4%Framing Effect0.0%This article: 0.0%Sarah Mizes-Tan: 0.7%KUOW: 1.0%Loss Aversion0.0%This article: 0.0%Sarah Mizes-Tan: 1.2%KUOW: 1.0%Status Quo Bias0.0%This article: 0.0%Sarah Mizes-Tan: 0.1%KUOW: 0.2%Sunk Cost Effect0.0%This article: 0.0%Sarah Mizes-Tan: 3.2%KUOW: 3.8%Optimism Bias0.0%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: 0.0%Sarah Mizes-Tan: 2.3%KUOW: 2.0%Self-Serving Bias0.0%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: 2.3%Sarah Mizes-Tan: 1.0%KUOW: 1.1%Recency Bias2.3%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: 4.1%Sarah Mizes-Tan: 4.1%KUOW: 4.3%Appeal to Authority4.1%This article: 8.1%Sarah Mizes-Tan: 1.2%KUOW: 1.4%False Dilemma8.1%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: 7.3%Sarah Mizes-Tan: 8.3%KUOW: 6.1%Appeal to Emotion7.3%This article: 0.0%Sarah Mizes-Tan: 0.9%KUOW: 0.8%Begging the Question0.0%This article: 5.0%Sarah Mizes-Tan: 1.7%KUOW: 2.2%Post Hoc (False Cause)5.0%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: 4.1%Sarah Mizes-Tan: 0.0%KUOW: 0.1%No True Scotsman4.1%This article: 4.1%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Ambiguity (Equivocation)4.1%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: 0.0%Sarah Mizes-Tan: 0.4%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.2%Genetic Fallacy0.0%This article: 8.7%Sarah Mizes-Tan: 0.8%KUOW: 1.0%Unattributed Quote8.7%This article: 7.3%Sarah Mizes-Tan: 1.4%KUOW: 0.8%Quote-first Misdirection7.3%This article: 8.5%Sarah Mizes-Tan: 2.2%KUOW: 3.2%Biased Writer Voice8.5%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%

482 words analyzed.

Speakers

3speakers28%attributed speech348writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageRobert Lasnik • 8 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageSteve Hobbs • 35 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageSonni Waknin • 32 words • 0.0% coverageSonni Waknin • 19 words • 0.0% coverageSonni Waknin • 20 words • 0.0% coverageSonni Waknin • 20 words • 0.0% coverage
Selected voice

Steve Hobbs

100%flagged-word coverage
35 attributed words26% of attributed speech50% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Steve Hobbs: 100.0%100.0%Unattributed Quote+98.0 ptsWriter: 2.0%Steve Hobbs: 100.0%100.0%Biased Writer Voice-11.8 ptsWriter: 11.8%Steve Hobbs: 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.