Colorado labor officials express alarm over ‘disturbing practice’ of asking claimants to cancel unemployment appeals 56%

By Sam Tabachnik0%

7/23/2026, 3:00:45 AM

BS Summary: This article contains 22 faulty reasoning types, including Anecdotal, Biased Writer Voice, and Availability Heuristic, with Negativity Bias as the most egregious example at 37.7% saturation with 189 hits. Analysis detected 923 faulty-reasoning hits from 501 analyzed words, generating a BS Score of 53.5% and a BS Rank of 56% (9,679 of 21,887 articles). This article is worse (more manipulative) than 55.80% of the article peer group.

Multiple staff members inside Colorado’s unemployment insurance division have expressed alarm over what they called a “disturbing practice” of state officials asking claimants to cancel their appeals. 
On June 12, a hearing officer with the Colorado Department of Labor and Employment’s unemployment insurance appeals division told agency leaders in an email that she witnessed a hearing in which a claimant testified that the state called her and asked her to cancel her appeal concerning a benefit determination. 
The division representative told the claimant that “it was unlikely that she would prevail,” the hearing officer wrote in the message, a copy of which was reviewed by The Denver Post. 
“This is a disturbing practice,” Ashleigh Hall, the hearing officer, wrote to her colleagues. 
“If this is what the… team is doing, they need to stop it, as it will have a chilling effect on parties exercising their right to an appeal.” 
Last week, a second hearing officer emailed a supervisor, asking for an update on this practice. 
The employee also included a summary of a call between state officials and a claimant in which the individual said that “he went through a lot of effort to prepare for the appeal and requested to continue with the appeal.” 
The hearing officer, Randy Stwalley, added his concern to leadership. 
“Using minimally trained (employees) to dissuade parties from appealing decisions issued by the division, which is their legal right, doesn't seem to be a good use of time or energy, and also raises ethical concerns,” he wrote. 
The state's labor department declined an interview request for this story. 
In a statement, the unemployment division's director, Philip Spesshardt, said he believed this to be a "one-off instance" that leadership addressed quickly with additional training for the agents making these calls to claimants. 
These agents, he said, are trained to speak neutrally with claimants about their options while not encouraging any course of action over another. 
They are "taught to never encourage a claimant to withdraw an appeal," Spesshardt said. 
"We are committed to supporting unemployment insurance claimants throughout the life of their claim," he said. 
News of these emails comes nearly two months after The Post reported that the state doesn't allow claimants to appeal determinations in which they are overpaid unemployment benefits, despite repeated instructions by the federal labor department to do so. 
Colorado has known for years that its labor department is supposed to be offering these appeals, The Post found, but still has not implemented them. 
Leadership, in emails reviewed by The Post, worried that allowing these appeals would hurt the agency's metrics, while Spesshardt, in one email, called them a "waste of time, energy and resources." 
The unemployment division has also been roiled by internal and external investigations amid staff whistleblower complaints and spiraling distrust between workers and supervisors, The Post reported. 
Get more Colorado news by signing up for our daily Your Morning Dozen email newsletter. 
Article reasoning-pattern comparisonThis article: 6.2%Sam Tabachnik: 3.7%Baltimore Sun: 1.9%Confirmation Bias6.2%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 1.1%Anchoring Bias0.0%This article: 13.2%Sam Tabachnik: 4.4%Baltimore Sun: 2.5%Availability Heuristic13.2%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.7%Representativeness Heuristic0.0%This article: 5.0%Sam Tabachnik: 1.7%Baltimore Sun: 0.4%Hindsight Bias5.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.9%Overconfidence Bias0.0%This article: 8.4%Sam Tabachnik: 5.6%Baltimore Sun: 4.3%Framing Effect8.4%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.6%Loss Aversion0.0%This article: 0.0%Sam Tabachnik: 3.7%Baltimore Sun: 0.6%Status Quo Bias0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.2%Sunk Cost Effect0.0%This article: 6.6%Sam Tabachnik: 2.2%Baltimore Sun: 2.3%Optimism Bias6.6%This article: 5.6%Sam Tabachnik: 1.9%Baltimore Sun: 1.2%Pessimism Bias5.6%This article: 37.7%Sam Tabachnik: 19.2%Baltimore Sun: 7.6%Negativity Bias37.7%This article: 6.6%Sam Tabachnik: 10.0%Baltimore Sun: 0.8%Self-Serving Bias6.6%This article: 7.4%Sam Tabachnik: 2.5%Baltimore Sun: 1.1%Fundamental Attribution Error7.4%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.3%Actor-Observer Bias0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.6%In-Group Bias0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.4%Out-Group Homogeneity Bias0.0%This article: 3.2%Sam Tabachnik: 1.1%Baltimore Sun: 1.7%Halo Effect3.2%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Horn Effect0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.0%Dunning-Kruger Effect0.0%This article: 7.8%Sam Tabachnik: 5.2%Baltimore Sun: 1.5%Recency Bias7.8%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.2%Primacy Effect0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.3%Ad Hominem0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Straw Man0.0%This article: 7.4%Sam Tabachnik: 2.5%Baltimore Sun: 2.5%Appeal to Authority7.4%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 1.2%False Dilemma0.0%This article: 5.6%Sam Tabachnik: 3.7%Baltimore Sun: 0.5%Slippery Slope5.6%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Circular Reasoning0.0%This article: 6.2%Sam Tabachnik: 2.1%Baltimore Sun: 3.4%Hasty Generalization6.2%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Red Herring0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.2%Bandwagon0.0%This article: 3.2%Sam Tabachnik: 1.1%Baltimore Sun: 3.7%Appeal to Emotion3.2%This article: 6.6%Sam Tabachnik: 2.2%Baltimore Sun: 0.6%Begging the Question6.6%This article: 7.8%Sam Tabachnik: 2.6%Baltimore Sun: 2.1%Post Hoc (False Cause)7.8%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Tu Quoque0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.3%Burden of Proof0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Appeal to Nature0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.2%Composition/Division0.0%This article: 14.2%Sam Tabachnik: 4.7%Baltimore Sun: 1.3%Anecdotal14.2%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.0%No True Scotsman0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 1.1%Ambiguity (Equivocation)0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.0%Middle Ground0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Personal Incredulity0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Special Pleading0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.0%Genetic Fallacy0.0%This article: 6.2%Sam Tabachnik: 2.1%Baltimore Sun: 1.5%Unattributed Quote6.2%This article: 3.0%Sam Tabachnik: 1.0%Baltimore Sun: 0.5%Quote-first Misdirection3.0%This article: 13.6%Sam Tabachnik: 4.5%Baltimore Sun: 3.3%Biased Writer Voice13.6%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 2.1%Indoctrination0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Sam Tabachnik: 0.0%Baltimore Sun: 0.1%Politically Right Leaning Bias0.0%This article: 3.0%Sam Tabachnik: 2.0%Baltimore Sun: 1.7%Attempt to Sell a Product or S…3.0%

501 words analyzed.

Speakers

3speakers35%attributed speech326writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 15 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 50 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageAshleigh Hall • 14 words • 0.0% coverageAshleigh Hall • 28 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageRandy Stwalley • 10 words • 0.0% coverageRandy Stwalley • 37 words • 0.0% coverageWriter's voice • 11 words • 0.0% coveragePhilip Spesshardt • 33 words • 0.0% coveragePhilip Spesshardt • 23 words • 0.0% coveragePhilip Spesshardt • 14 words • 0.0% coveragePhilip Spesshardt • 16 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverage
Selected voice

Philip Spesshardt

100%flagged-word coverage
86 attributed words49% of attributed speech76% writer coverage
0%12.5%25.0%Biased Writer Voice-20.9 ptsWriter: 20.9%Philip Spesshardt: 0.0%0.0%Unattributed Quote-9.5 ptsWriter: 9.5%Philip Spesshardt: 0.0%0.0%Quote-first Misdirection-4.6 ptsWriter: 4.6%Philip Spesshardt: 0.0%0.0%Attempt to Sell a Product -4.6 ptsWriter: 4.6%Philip Spesshardt: 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.