Michigan sees explosive outbreak of diarrheal parasite with over 700 cases ⁠23%

By Beth Mole⁠30%

7/7/2026, 10:29:00 PM

BS Summary: This article contains 21 faulty reasoning types, including Appeal to Authority, Recency Bias, and Availability Heuristic, with Negativity Bias as the most egregious example at 25% saturation with 131 hits. Analysis detected 933 faulty-reasoning hits from 523 analyzed words, generating a BS Score of 36.2% and a BS Rank of ⁠23% (16,403 of 21,180 articles). This article is better (less manipulative) than 77.40% of the article peer group.

Cases of a diarrhea-causing intestinal parasite have exploded in Michigan over the last two weeks in an outbreak that still has no clear source. 
As of July 6, the state has received reports of over 700 cases since June 22, along with 36 hospitalizations, the Michigan Department of Health and Human Services (MDHSS) told Ars Technica on Tuesday. 
On June 30, the health department reported 170 cases, which rose to 572 on July 4. 
The microscopic unicellular parasite Cyclospora cayetanensis is behind the cases, causing a disease called cyclosporiasis. 
Although the infection is generally not life-threatening, it usually causes “watery diarrhea with frequent and sometimes explosive bowel movements,” according to the Centers for Disease Control and Prevention. 
These intestinal eruptions usually last about a week, but can go on for two or more weeks, the CDC says, with dehydration being one of the most significant concerns. 
The parasite is shed in feces and spreads by getting on produce and into water. 
Thoroughly washing and cleaning produce before eating, along with diligent hand hygiene, are key prevention methods. 
State and national trends 
Previous outbreaks have been linked to bagged salad mixes/kits, cilantro, basil, raspberries, snow peas, and green onions, MDHSS has noted. 
“At this time, no specific produce grower, supplier or type of produce has been identified as the source,” an MDHSS spokesperson told Ars. 
But the state is coordinating a large investigation to identify a source or sources, working with local health departments in the southeastern region of the state, where most of the cases have been reported. 
Officials are interviewing cases, sharing information, and ultimately trying to identify common exposures. 
The spokesperson said MDHSS is also coordinating with the CDC and has shared the state’s case data with the agency. 
The CDC has a website for cyclosporiasis surveillance. 
But it only has case reporting up to June 16 and doesn’t include any cases from Michigan. 
Ars reached out to the US Department of Health and Human Services about why the CDC’s surveillance data has not been updated, but there was no response. 
HHS also did not answer questions about its work with Michigan or trends in cyclosporiasis cases, which historically peak in June and July each year nationally. 
According to the CDC’s outdated numbers, 17 states besides Michigan have reported cases this year, with a total of 145 cases nationally. 
With Michigan’s cases, the total would be over 845 cases. 
Michigan’s case tally this year is far out of line with the state’s trends for cyclosporiasis cases. 
In the past several years, the state has mostly reported totals of around 50 cases a year, with a high of 97 in 2023, according to CDC data. 
While it may be a record year for Michigan, the US does not seem to be out of line with past years so far. 
Since 2018, the US has been recording between 2,000 and 5,000 cases each year. 
In 2023, the US reported 4,463 cases, with 3,091 in 2022, 2,424 in 2021, 2,689 in 2020, 4,703 in 2019, and 3,519 in 2018, according to CDC’s data. 
Article reasoning-pattern comparisonThis article: 0.0%Beth Mole: 2.6%Ars Technica: 2.8%Confirmation Bias0.0%This article: 10.7%Beth Mole: 1.4%Ars Technica: 1.2%Anchoring Bias10.7%This article: 12.0%Beth Mole: 3.0%Ars Technica: 2.4%Availability Heuristic12.0%This article: 5.9%Beth Mole: 1.2%Ars Technica: 1.0%Representativeness Heuristic5.9%This article: 0.0%Beth Mole: 0.3%Ars Technica: 0.6%Hindsight Bias0.0%This article: 2.9%Beth Mole: 1.3%Ars Technica: 2.0%Overconfidence Bias2.9%This article: 9.8%Beth Mole: 6.4%Ars Technica: 3.4%Framing Effect9.8%This article: 0.0%Beth Mole: 0.9%Ars Technica: 0.5%Loss Aversion0.0%This article: 5.4%Beth Mole: 0.4%Ars Technica: 0.5%Status Quo Bias5.4%This article: 0.0%Beth Mole: 0.2%Ars Technica: 0.1%Sunk Cost Effect0.0%This article: 4.6%Beth Mole: 1.9%Ars Technica: 4.2%Optimism Bias4.6%This article: 0.0%Beth Mole: 1.9%Ars Technica: 1.7%Pessimism Bias0.0%This article: 25.0%Beth Mole: 10.0%Ars Technica: 6.2%Negativity Bias25.0%This article: 0.0%Beth Mole: 0.4%Ars Technica: 1.1%Self-Serving Bias0.0%This article: 0.0%Beth Mole: 0.9%Ars Technica: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Beth Mole: 0.0%Ars Technica: 0.1%Actor-Observer Bias0.0%This article: 0.0%Beth Mole: 0.3%Ars Technica: 0.6%In-Group Bias0.0%This article: 0.0%Beth Mole: 0.0%Ars Technica: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Beth Mole: 1.5%Ars Technica: 2.0%Halo Effect0.0%This article: 0.0%Beth Mole: 0.5%Ars Technica: 0.1%Horn Effect0.0%This article: 0.0%Beth Mole: 0.1%Ars Technica: 0.0%Dunning-Kruger Effect0.0%This article: 14.5%Beth Mole: 1.1%Ars Technica: 1.0%Recency Bias14.5%This article: 5.4%Beth Mole: 0.2%Ars Technica: 0.3%Primacy Effect5.4%This article: 0.0%Beth Mole: 0.1%Ars Technica: 0.1%Blind-Spot Bias0.0%This article: 5.2%Beth Mole: 1.1%Ars Technica: 0.5%Ad Hominem5.2%This article: 0.0%Beth Mole: 0.2%Ars Technica: 0.2%Straw Man0.0%This article: 22.9%Beth Mole: 4.7%Ars Technica: 4.1%Appeal to Authority22.9%This article: 0.0%Beth Mole: 0.7%Ars Technica: 1.1%False Dilemma0.0%This article: 0.0%Beth Mole: 0.6%Ars Technica: 0.7%Slippery Slope0.0%This article: 0.0%Beth Mole: 0.0%Ars Technica: 0.1%Circular Reasoning0.0%This article: 6.5%Beth Mole: 2.9%Ars Technica: 3.8%Hasty Generalization6.5%This article: 0.0%Beth Mole: 0.4%Ars Technica: 0.2%Red Herring0.0%This article: 0.0%Beth Mole: 0.1%Ars Technica: 0.6%Bandwagon0.0%This article: 12.0%Beth Mole: 3.3%Ars Technica: 2.7%Appeal to Emotion12.0%This article: 0.0%Beth Mole: 0.7%Ars Technica: 0.6%Begging the Question0.0%This article: 3.1%Beth Mole: 2.2%Ars Technica: 2.4%Post Hoc (False Cause)3.1%This article: 0.0%Beth Mole: 0.2%Ars Technica: 0.2%Tu Quoque0.0%This article: 4.4%Beth Mole: 0.8%Ars Technica: 0.5%Burden of Proof4.4%This article: 0.0%Beth Mole: 0.2%Ars Technica: 0.2%Appeal to Nature0.0%This article: 1.9%Beth Mole: 0.3%Ars Technica: 0.2%Composition/Division1.9%This article: 0.0%Beth Mole: 0.9%Ars Technica: 1.5%Anecdotal0.0%This article: 0.0%Beth Mole: 0.1%Ars Technica: 0.1%No True Scotsman0.0%This article: 12.0%Beth Mole: 1.5%Ars Technica: 1.7%Ambiguity (Equivocation)12.0%This article: 0.0%Beth Mole: 0.0%Ars Technica: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Beth Mole: 0.0%Ars Technica: 0.1%Middle Ground0.0%This article: 0.0%Beth Mole: 0.4%Ars Technica: 0.1%Personal Incredulity0.0%This article: 0.0%Beth Mole: 0.1%Ars Technica: 0.1%Special Pleading0.0%This article: 0.0%Beth Mole: 0.1%Ars Technica: 0.1%Genetic Fallacy0.0%This article: 4.4%Beth Mole: 1.5%Ars Technica: 1.5%Unattributed Quote4.4%This article: 0.0%Beth Mole: 0.7%Ars Technica: 0.9%Quote-first Misdirection0.0%This article: 6.7%Beth Mole: 8.8%Ars Technica: 4.6%Biased Writer Voice6.7%This article: 3.1%Beth Mole: 1.1%Ars Technica: 1.0%Indoctrination3.1%This article: 0.0%Beth Mole: 2.0%Ars Technica: 0.7%Politically Left Leaning Bias0.0%This article: 0.0%Beth Mole: 0.2%Ars Technica: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Beth Mole: 0.3%Ars Technica: 1.3%Attempt to Sell a Product or S…0.0%

523 words analyzed.

Speakers

2speakers36%attributed speech334writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageMichigan Department of Health and Human Services (MDHSS) • 34 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageCenters for Disease Control and Prevention • 28 words • 0.0% coverageCenters for Disease Control and Prevention • 29 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageMichigan Department of Health and Human Services (MDHSS) • 20 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageCenters for Disease Control and Prevention • 22 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageCenters for Disease Control and Prevention • 28 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageCenters for Disease Control and Prevention • 28 words • 0.0% coverage
100%flagged-word coverage
135 attributed words71% of attributed speech82% writer coverage
0%7.5%15.0%Biased Writer Voice-10.5 ptsWriter: 10.5%Centers for Disease Control and Prevention: 0.0%0.0%Unattributed Quote-6.9 ptsWriter: 6.9%Centers for Disease Control and Prevention: 0.0%0.0%Indoctrination-4.8 ptsWriter: 4.8%Centers for Disease Control and Prevention: 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.