The Metro: What Michigan gets wrong about wildfire smoke 8%

By Robyn Vincent0%

7/21/2026, 7:05:22 PM

BS Summary: This article contains 7 faulty reasoning types, including Negativity Bias, Confirmation Bias, and Framing Effect, with Attempt to Sell a Product or Service as the most egregious example at 15.4% saturation with 73 hits. Analysis detected 253 faulty-reasoning hits from 473 analyzed words, generating a BS Score of 24.2% and a BS Rank of 8% (19,604 of 21,168 articles). This article is better (less manipulative) than 92.60% of the article peer group.

Smoke from wildfires in Ontario and Minnesota has been lingering in Michigan skies. 
Some of it started on July 7, when lightning struck the woods of northern Minnesota. 
Those fires burned so hard the Forest Service shut the Boundary Waters completely. 
And the fires went both directions. 
One crossed into Canada , another crossed out of it , into Minnesota. 
Meanwhile, four Republicans in Michigan’s delegation wrote to Canada’s prime minister last week, demanding Canada manage its forests better. 
They say they are done “accepting apologies in place of action.” 
This comes as the U.S. 
Forest Service, the agency that manages federal forests and firefighting on this side of the border, faces significant budget cuts under the Trump administration’s latest proposals. 
Bobbie Scopa fought fire for 45 years. 
She started as a seasonal firefighter in 1974 and finished as an operations section chief: the person on a major fire who decides where the crews go, and where nobody goes at all. 
She’s the author of “Both Sides of the Fire Line,” and she hosts the podcast Bobbie on Fire. 
She joined Robyn Vincent on The Metro to explain why these fires are harder to stop than they used to be, and why she thinks Americans are asking the wrong question about them. 
Hear the full conversation using the media player above. 
Listen to The Metro weekdays from 10 a.m. to noon ET on 101.9 FM and streaming on-demand. 
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The Metro: What Michigan gets wrong about wildfire smoke 
Smoke from Ontario and Minnesota has settled over Michigan. 
Bobbie Scopa, who fought wildfire for 45 years, explains what’s burning, why it’s harder to stop than it used to be, and who’s actually to blame. 
The Metro: ‘Divining Freedom’ represents Detroit not only as a city, but as an idea 
“Diving Freedom” is a story that follows Detroit families through the ages, during emancipation, the Detroit rebellion and the modern day. 
Author Donna Givens-Davidson joins the show to speak more to Black history in Detroit and the story she wants to tell. 
The Metro: When the power goes out, people call the mayor 
Michigan regulators are investigating utilities over the Fourth of July outages. 
Farmington Hills Mayor Theresa Rich on the consequences her city has felt from a long pattern of outages. 
The post The Metro: What Michigan gets wrong about wildfire smoke appeared first on WDET 101.9 FM . 
Article reasoning-pattern comparisonThis article: 7.0%Robyn Vincent: 1.4%WDET: 1.6%Confirmation Bias7.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.4%Anchoring Bias0.0%This article: 0.0%Robyn Vincent: 0.2%WDET: 2.3%Availability Heuristic0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.7%Representativeness Heuristic0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.2%Hindsight Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 1.1%Overconfidence Bias0.0%This article: 7.0%Robyn Vincent: 7.9%WDET: 4.6%Framing Effect7.0%This article: 0.0%Robyn Vincent: 0.3%WDET: 0.9%Loss Aversion0.0%This article: 0.0%Robyn Vincent: 0.8%WDET: 0.4%Status Quo Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Sunk Cost Effect0.0%This article: 0.0%Robyn Vincent: 0.6%WDET: 3.2%Optimism Bias0.0%This article: 0.0%Robyn Vincent: 0.5%WDET: 0.8%Pessimism Bias0.0%This article: 7.8%Robyn Vincent: 7.7%WDET: 3.3%Negativity Bias7.8%This article: 0.0%Robyn Vincent: 0.0%WDET: 1.6%Self-Serving Bias0.0%This article: 0.0%Robyn Vincent: 0.2%WDET: 0.3%Fundamental Attribution Error0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Actor-Observer Bias0.0%This article: 0.0%Robyn Vincent: 1.3%WDET: 1.3%In-Group Bias0.0%This article: 0.0%Robyn Vincent: 0.6%WDET: 0.6%Out-Group Homogeneity Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 5.9%Halo Effect0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Horn Effect0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Robyn Vincent: 0.3%WDET: 0.9%Recency Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.3%Primacy Effect0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Blind-Spot Bias0.0%This article: 0.0%Robyn Vincent: 0.2%WDET: 0.2%Ad Hominem0.0%This article: 0.0%Robyn Vincent: 0.3%WDET: 0.1%Straw Man0.0%This article: 0.0%Robyn Vincent: 1.2%WDET: 3.1%Appeal to Authority0.0%This article: 0.0%Robyn Vincent: 0.1%WDET: 1.0%False Dilemma0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Slippery Slope0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.2%Circular Reasoning0.0%This article: 0.0%Robyn Vincent: 2.1%WDET: 3.4%Hasty Generalization0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Red Herring0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.5%Bandwagon0.0%This article: 0.0%Robyn Vincent: 2.9%WDET: 4.7%Appeal to Emotion0.0%This article: 7.0%Robyn Vincent: 1.0%WDET: 0.7%Begging the Question7.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 1.6%Post Hoc (False Cause)0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Tu Quoque0.0%This article: 0.0%Robyn Vincent: 1.3%WDET: 0.3%Burden of Proof0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Appeal to Nature0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.2%Composition/Division0.0%This article: 0.0%Robyn Vincent: 0.7%WDET: 1.8%Anecdotal0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%No True Scotsman0.0%This article: 0.0%Robyn Vincent: 0.3%WDET: 1.2%Ambiguity (Equivocation)0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Middle Ground0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Personal Incredulity0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Special Pleading0.0%This article: 0.0%Robyn Vincent: 0.2%WDET: 0.0%Genetic Fallacy0.0%This article: 2.3%Robyn Vincent: 0.3%WDET: 0.7%Unattributed Quote2.3%This article: 0.0%Robyn Vincent: 1.7%WDET: 0.8%Quote-first Misdirection0.0%This article: 7.0%Robyn Vincent: 7.5%WDET: 4.0%Biased Writer Voice7.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 2.7%Indoctrination0.0%This article: 0.0%Robyn Vincent: 0.3%WDET: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Politically Right Leaning Bias0.0%This article: 15.4%Robyn Vincent: 15.1%WDET: 6.9%Attempt to Sell a Product or S…15.4%

473 words analyzed.

Speakers

5speakers34%attributed speech312writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageForest Service • 26 words • 0.0% coverageBobbie Scopa • 7 words • 0.0% coverageBobbie Scopa • 33 words • 0.0% coverageBobbie Scopa • 18 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageWDET • 19 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageBobbie Scopa • 26 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageDonna Givens-Davidson • 21 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageMichigan regulators • 11 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverage
Selected voice

WDET

100%flagged-word coverage
19 attributed words12% of attributed speech31% writer coverage
0%50.0%100.0%Attempt to Sell a Product +82.7 ptsWriter: 17.3%WDET: 100.0%100.0%Biased Writer Voice-10.6 ptsWriter: 10.6%WDET: 0.0%0.0%Unattributed Quote-3.5 ptsWriter: 3.5%WDET: 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.