First Deaths Reported In Cyclosporiasis Outbreak ⁠33%

By Seattle Medium⁠41%

8/4/2026, 8:50:00 AM

BS Summary: This article contains 13 faulty reasoning types, including Appeal to Authority, Availability Heuristic, and Ambiguity (Equivocation), with Unattributed Quote as the most egregious example at 32.2% saturation with 124 hits. Analysis detected 433 faulty-reasoning hits from 385 analyzed words, generating a BS Score of 35.6% and a BS Rank of ⁠33% (18,427 of 27,322 articles). This article is better (less manipulative) than 67.40% of the article peer group.

By Jacqueline Howard, CNN 
(CNN) — Two people in Michigan have died in connection with the outbreak of cyclosporiasis, health officials reported Monday. 
These are the first known deaths related to the multistate outbreak of explosive diarrhea in the United States. 
“Two deaths have been identified as part of the cyclosporiasis outbreak affecting Michigan. 
According to medical records, both individuals had significant underlying health conditions that may have been impacted by cyclosporiasis and dehydration. 
No additional information will be provided on these two cases,” according to the Michigan Department of Health and Human Services. 
Deaths from cyclosporiasis are far from common, as the infection is “generally not a life-threatening illness,” the department said. 
A total of 11,234 cases have been reported in the state, including 193 people who had been hospitalized. 
The US Centers for Disease Control and Prevention said on its website that it “is aware of two cyclosporiasis-related deaths in people with underlying health conditions from Michigan as part of this outbreak.” 
Cyclosporiasis is caused by a microscopic parasite that can contaminate fresh food or water and lead to severe diarrhea in those infected. 
Some cyclosporiasis infections may improve on their own, but without treatment, symptoms may last a month or longer, and persistent diarrhea can make it difficult to stay hydrated. 
Dehydration from frequent bouts of diarrhea can also cause severe illness. 
Cases of cyclosporiasis are known to rise during spring and summer months in the US, with a typical season running from the start of May through the end of August, according to the CDC. 
But case counts are particularly high this year. 
The CDC has identified more than 18,000 cases of domestic cyclosporiasis this season; 6,707 cases are confirmed, and about 11,500 others are undergoing further laboratory testing and analysis to determine whether the illness was acquired in the US. 
Multiple clusters of cyclosporiasis cases are being investigated this year by the US Food and Drug Administration in collaboration with the CDC and state partners, including the particularly large multistate outbreak centered in the Midwest. 
Iceberg lettuce supplied by Taylor Farms has been recalled, and it’s likely that contaminated products have already been eaten or removed from shelves. 
The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. 
Discovery Company. 
All rights reserved. 
Article reasoning-pattern comparisonThis article: 0.0%Seattle Medium: 1.1%CNN: 0.9%Confirmation Bias0.0%This article: 4.7%Seattle Medium: 0.3%CNN: 0.2%Anchoring Bias4.7%This article: 9.9%Seattle Medium: 1.2%CNN: 1.3%Availability Heuristic9.9%This article: 7.3%Seattle Medium: 0.4%CNN: 0.5%Representativeness Heuristic7.3%This article: 0.0%Seattle Medium: 0.0%CNN: 0.1%Hindsight Bias0.0%This article: 0.0%Seattle Medium: 0.3%CNN: 0.4%Overconfidence Bias0.0%This article: 0.0%Seattle Medium: 3.6%CNN: 3.5%Framing Effect0.0%This article: 0.0%Seattle Medium: 0.2%CNN: 0.1%Loss Aversion0.0%This article: 0.0%Seattle Medium: 0.6%CNN: 0.5%Status Quo Bias0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Sunk Cost Effect0.0%This article: 0.0%Seattle Medium: 2.5%CNN: 2.1%Optimism Bias0.0%This article: 0.0%Seattle Medium: 1.6%CNN: 1.4%Pessimism Bias0.0%This article: 0.0%Seattle Medium: 4.1%CNN: 3.7%Negativity Bias0.0%This article: 0.0%Seattle Medium: 2.4%CNN: 2.0%Self-Serving Bias0.0%This article: 5.2%Seattle Medium: 1.7%CNN: 1.6%Fundamental Attribution Error5.2%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Actor-Observer Bias0.0%This article: 0.0%Seattle Medium: 2.1%CNN: 1.7%In-Group Bias0.0%This article: 0.0%Seattle Medium: 0.3%CNN: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Seattle Medium: 2.6%CNN: 2.0%Halo Effect0.0%This article: 0.0%Seattle Medium: 0.1%CNN: 0.0%Horn Effect0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Dunning-Kruger Effect0.0%This article: 2.1%Seattle Medium: 0.7%CNN: 0.8%Recency Bias2.1%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Primacy Effect0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Blind-Spot Bias0.0%This article: 0.0%Seattle Medium: 1.2%CNN: 0.9%Ad Hominem0.0%This article: 0.0%Seattle Medium: 0.5%CNN: 0.4%Straw Man0.0%This article: 22.3%Seattle Medium: 2.6%CNN: 2.3%Appeal to Authority22.3%This article: 0.0%Seattle Medium: 1.1%CNN: 1.0%False Dilemma0.0%This article: 6.0%Seattle Medium: 0.1%CNN: 0.3%Slippery Slope6.0%This article: 0.0%Seattle Medium: 0.2%CNN: 0.2%Circular Reasoning0.0%This article: 4.7%Seattle Medium: 2.2%CNN: 2.0%Hasty Generalization4.7%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Red Herring0.0%This article: 0.0%Seattle Medium: 0.2%CNN: 0.2%Bandwagon0.0%This article: 0.0%Seattle Medium: 3.5%CNN: 2.9%Appeal to Emotion0.0%This article: 0.0%Seattle Medium: 0.3%CNN: 0.3%Begging the Question0.0%This article: 2.9%Seattle Medium: 0.7%CNN: 0.6%Post Hoc (False Cause)2.9%This article: 0.0%Seattle Medium: 0.2%CNN: 0.2%Tu Quoque0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.1%Burden of Proof0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Appeal to Nature0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Composition/Division0.0%This article: 0.0%Seattle Medium: 0.8%CNN: 0.9%Anecdotal0.0%This article: 0.0%Seattle Medium: 0.1%CNN: 0.1%No True Scotsman0.0%This article: 9.1%Seattle Medium: 1.0%CNN: 1.0%Ambiguity (Equivocation)9.1%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Seattle Medium: 0.2%CNN: 0.1%Middle Ground0.0%This article: 0.0%Seattle Medium: 0.1%CNN: 0.1%Personal Incredulity0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Special Pleading0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Genetic Fallacy0.0%This article: 32.2%Seattle Medium: 1.3%CNN: 1.3%Unattributed Quote32.2%This article: 3.4%Seattle Medium: 0.5%CNN: 0.5%Quote-first Misdirection3.4%This article: 2.9%Seattle Medium: 1.1%CNN: 1.2%Biased Writer Voice2.9%This article: 0.0%Seattle Medium: 0.4%CNN: 0.4%Indoctrination0.0%This article: 0.0%Seattle Medium: 0.6%CNN: 1.0%Politically Left Leaning Bias0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Seattle Medium: 0.0%CNN: 0.0%Attempt to Sell a Product or S…0.0%

385 words analyzed.

Speakers

1speaker10%attributed speech346writer words
49%flagged-word coverage
39 attributed words100% of attributed speech89% writer coverage
0%20.0%40.0%Unattributed Quote-35.8 ptsWriter: 35.8%Michigan Department of Health and Human Services: 0.0%0.0%Quote-first Misdirection-3.8 ptsWriter: 3.8%Michigan Department of Health and Human Services: 0.0%0.0%Biased Writer Voice-3.2 ptsWriter: 3.2%Michigan Department of Health and Human Services: 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.