KUOW73%

Ferguson signs executive order to support working women experiencing menopause in WA 21%

By Sarah Mizes-Tan41%

6/1/2026, 10:49:36 PM

BS Summary: This article contains 16 faulty reasoning types, including Negativity Bias, Availability Heuristic, and Quote-first Misdirection, with Post Hoc (False Cause) as the most egregious example at 18.5% saturation with 84 hits. Analysis detected 702 faulty-reasoning hits from 455 analyzed words, generating a BS Score of 35% and a BS Rank of 21% (17,377 of 21,887 articles). This article is better (less manipulative) than 79.40% of the article peer group.

Washington Gov. 
Bob Ferguson announced a plan Monday to create accommodations for working women experiencing menopause. 
About 600,000 women are currently navigating peri-menopause, menopause, or post-menopause in the workforce, according to the Washington State Women’s Commission. 
“We are losing people in the workforce with tremendous knowledge, tremendous experience,” Ferguson said. 
“We are losing their voices in leadership because we are not doing enough to prepare for a natural stage of life that impacts half our population.” 
Menopause, the period of a woman’s life where fertility ends, typically begins around the age of 52, according to the Cleveland Clinic. 
Symptoms, which include hot flashes, mood swings, and insomnia, can start as early as the mid- 40s, referred to as peri-menopause. 
Though an executive order Ferguson signed Monday did not list specific workplace accommodations, the Women’s Commission said it would work with the governor’s office to identify best practices and update policies for public employees. 
They’ll also partner on workplace training materials for state agencies and will create guidelines for private employers. 
The Commission has already been working on suggested policies, which would include things like extra breaks throughout the day, access to cold water or cooling devices, consistent access to restrooms, flexible dress codes, and the ability to use sick leave for menopause-related care. 
The Commission would also be looking to add menopause symptoms as a condition in need of accommodations. 
“Our commissioners and health committee members started hearing stories from women across the state that during one of the most intense physiological developments of their lifetime, they had nowhere to turn,” said Brittany Gregory, executive director of the Women’s Commission. 
Advocates say menopause or peri-menopause symptoms can sometimes be a factor in why women leave the workplace. 
One in 10 may quit their jobs for this reason, according to menopause workplace training site Midovia. 
“Women are suffering in silence and stigma because their organizations don’t have policies and structures in place so they can be supported. 
They’re suffering in silence for fear of losing their jobs,” said April Haberman, CEO and founder of Midovia. 
Haberman offered some suggestions on policy changes, such as allowing women more flexibility to work from home when menopause symptoms are flaring, providing more breathable work uniforms, and offering peer support groups. 
She added companies that have implemented these changes have seen a higher rate of retention in mid-career women. 
The Women’s Commission will submit a report to the governor’s office by the end of April next year on how to enact new guidelines and best practices. 
Update, June 2, 2026 at 12:25 p.m.: This story has been updated to include additional information from the Washington State Women's Commission. 
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: 16.9%Sarah Mizes-Tan: 2.7%KUOW: 3.4%Availability Heuristic16.9%This article: 3.7%Sarah Mizes-Tan: 1.3%KUOW: 1.2%Representativeness Heuristic3.7%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: 5.7%Sarah Mizes-Tan: 7.4%KUOW: 7.4%Framing Effect5.7%This article: 7.9%Sarah Mizes-Tan: 0.7%KUOW: 1.0%Loss Aversion7.9%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: 9.5%Sarah Mizes-Tan: 3.2%KUOW: 3.8%Optimism Bias9.5%This article: 0.0%Sarah Mizes-Tan: 1.5%KUOW: 1.8%Pessimism Bias0.0%This article: 17.6%Sarah Mizes-Tan: 5.4%KUOW: 8.0%Negativity Bias17.6%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: 4.0%Sarah Mizes-Tan: 1.1%KUOW: 2.7%Halo Effect4.0%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: 8.6%Sarah Mizes-Tan: 4.1%KUOW: 4.3%Appeal to Authority8.6%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: 3.7%Sarah Mizes-Tan: 3.9%KUOW: 4.1%Hasty Generalization3.7%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: 8.8%Sarah Mizes-Tan: 8.3%KUOW: 6.1%Appeal to Emotion8.8%This article: 0.0%Sarah Mizes-Tan: 0.9%KUOW: 0.8%Begging the Question0.0%This article: 18.5%Sarah Mizes-Tan: 1.7%KUOW: 2.2%Post Hoc (False Cause)18.5%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: 8.8%Sarah Mizes-Tan: 1.8%KUOW: 3.3%Anecdotal8.8%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.1%No True Scotsman0.0%This article: 11.2%Sarah Mizes-Tan: 1.8%KUOW: 1.4%Ambiguity (Equivocation)11.2%This article: 0.0%Sarah Mizes-Tan: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 7.0%Sarah Mizes-Tan: 0.2%KUOW: 0.1%Middle Ground7.0%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: 0.0%Sarah Mizes-Tan: 0.8%KUOW: 1.0%Unattributed Quote0.0%This article: 13.6%Sarah Mizes-Tan: 1.4%KUOW: 0.8%Quote-first Misdirection13.6%This article: 8.8%Sarah Mizes-Tan: 2.2%KUOW: 3.2%Biased Writer Voice8.8%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%

455 words analyzed.

Speakers

4speakers45%attributed speech251writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageBob Ferguson • 14 words • 100.0% coverageBob Ferguson • 26 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWomen’s Commission • 34 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageBrittany Gregory • 40 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageApril Haberman • 22 words • 100.0% coverageApril Haberman • 18 words • 0.0% coverageApril Haberman • 32 words • 0.0% coverageApril Haberman • 18 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverage
Selected voice

Bob Ferguson

100%flagged-word coverage
40 attributed words20% of attributed speech47% writer coverage
0%50.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Bob Ferguson: 100.0%100.0%

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.