The Metro: When the power goes out, people call the mayor 43%

By Robyn Vincent32%

7/20/2026, 6:52:54 PM

BS Summary: This article contains 16 faulty reasoning types, including Negativity Bias, Unattributed Quote, and Biased Writer Voice, with Attempt to Sell a Product or Service as the most egregious example at 39.5% saturation with 120 hits. Analysis detected 579 faulty-reasoning hits from 304 analyzed words, generating a BS Score of 46.5% and a BS Rank of 43% (12,602 of 21,887 articles). This article is better (less manipulative) than 57.60% of the article peer group.

What does accountability look like for Michigan’s utilities after over half a million residents lost power earlier this month? 
Last week, the state opened an investigation into DTE Energy, Consumers Energy, and Indiana Michigan Power Co. for their response to the outages, which stretched on for multiple days for some residents in 90 degree heat. 
In Farmington Hills, at a senior living home, where some residents rely on oxygen machines, staff were dressing people in the dark. 
The Michigan Public Service Commission is demanding that utilities explain by August how they deployed crews, how they guarded downed wires, and why their restoration estimates kept moving. 
Farmington Hills Mayor Theresa Rich joined Robyn Vincent on The Metro to discuss how her residents were affected by the outages and how she believes the utilities should be held accountable. 
Hear the full conversation using the media player above. 
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The post The Metro: When the power goes out, people call the mayor appeared first on WDET 101.9 FM . 
Article reasoning-pattern comparisonThis article: 0.0%Robyn Vincent: 1.2%WDET: 1.7%Confirmation Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.4%Anchoring Bias0.0%This article: 11.8%Robyn Vincent: 1.2%WDET: 2.3%Availability Heuristic11.8%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: 1.0%Overconfidence Bias0.0%This article: 16.4%Robyn Vincent: 8.6%WDET: 4.7%Framing Effect16.4%This article: 2.0%Robyn Vincent: 0.5%WDET: 0.9%Loss Aversion2.0%This article: 0.0%Robyn Vincent: 0.8%WDET: 0.3%Status Quo Bias0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Sunk Cost Effect0.0%This article: 6.3%Robyn Vincent: 1.1%WDET: 3.5%Optimism Bias6.3%This article: 0.0%Robyn Vincent: 0.5%WDET: 0.9%Pessimism Bias0.0%This article: 26.6%Robyn Vincent: 9.3%WDET: 3.4%Negativity Bias26.6%This article: 0.0%Robyn Vincent: 0.0%WDET: 1.6%Self-Serving Bias0.0%This article: 0.0%Robyn Vincent: 0.2%WDET: 0.2%Fundamental Attribution Error0.0%This article: 10.2%Robyn Vincent: 0.9%WDET: 0.1%Actor-Observer Bias10.2%This article: 3.0%Robyn Vincent: 1.4%WDET: 1.2%In-Group Bias3.0%This article: 0.0%Robyn Vincent: 0.5%WDET: 0.6%Out-Group Homogeneity Bias0.0%This article: 6.3%Robyn Vincent: 0.5%WDET: 5.6%Halo Effect6.3%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: 9.2%Robyn Vincent: 1.9%WDET: 3.3%Appeal to Authority9.2%This article: 1.3%Robyn Vincent: 0.2%WDET: 1.0%False Dilemma1.3%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.0%Slippery Slope0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Circular Reasoning0.0%This article: 0.0%Robyn Vincent: 1.9%WDET: 3.4%Hasty Generalization0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 0.1%Red Herring0.0%This article: 8.6%Robyn Vincent: 0.7%WDET: 0.5%Bandwagon8.6%This article: 0.0%Robyn Vincent: 2.6%WDET: 4.6%Appeal to Emotion0.0%This article: 0.0%Robyn Vincent: 0.9%WDET: 0.6%Begging the Question0.0%This article: 0.0%Robyn Vincent: 0.0%WDET: 1.5%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: 1.2%WDET: 0.4%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: 0.1%Composition/Division0.0%This article: 7.2%Robyn Vincent: 1.2%WDET: 1.8%Anecdotal7.2%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: 0.1%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: 21.1%Robyn Vincent: 2.1%WDET: 0.8%Unattributed Quote21.1%This article: 0.0%Robyn Vincent: 1.6%WDET: 0.7%Quote-first Misdirection0.0%This article: 18.1%Robyn Vincent: 8.4%WDET: 4.1%Biased Writer Voice18.1%This article: 3.0%Robyn Vincent: 0.3%WDET: 2.6%Indoctrination3.0%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: 39.5%Robyn Vincent: 17.2%WDET: 7.1%Attempt to Sell a Product or S…39.5%

304 words analyzed.

Speakers

3speakers26%attributed speech225writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageMichigan Public Service Commission • 28 words • 100.0% coverageFarmington Hills Mayor Theresa Rich • 31 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 2 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWDET 101.9 FM • 20 words • 0.0% coverage
100%flagged-word coverage
31 attributed words39% of attributed speech84% writer coverage
0%27.5%55.0%Attempt to Sell a Product -53.3 ptsWriter: 53.3%Farmington Hills Mayor Theresa Rich: 0.0%0.0%Biased Writer Voice-24.4 ptsWriter: 24.4%Farmington Hills Mayor Theresa Rich: 0.0%0.0%Unattributed Quote-16.0 ptsWriter: 16.0%Farmington Hills Mayor Theresa Rich: 0.0%0.0%Indoctrination-4.0 ptsWriter: 4.0%Farmington Hills Mayor Theresa Rich: 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.