Send Bridge Michigan journalists where the story leads 93%

By Sally Freels99%

7/23/2026, 8:09:52 PM

BS Summary: This article contains 26 faulty reasoning types, including Biased Writer Voice, Sunk Cost Effect, and Availability Heuristic, with Attempt to Sell a Product or Service as the most egregious example at 33.7% saturation with 114 hits. Analysis detected 871 faulty-reasoning hits from 338 analyzed words, generating a BS Score of 87.7% and a BS Rank of 93% (1,625 of 21,176 articles). This article is worse (more manipulative) than 92.30% of the article peer group.

Bridge Michigan journalism starts with showing up. 
Last year, our reporters traveled 55,985 miles across Michigan to report from the communities, meetings, schools, businesses, shorelines and neighborhoods where the state’s biggest stories were unfolding. 
That travel helped Bridge Michigan publish more than 1,374 stories directly related to life in Michigan  stories about hospital closures, literacy efforts for older students, rising health care costs, historic flooding and the decisions affecting Michiganders’ daily lives. 
Those stories were reported by people, in communities, through real conversations and careful observation. 
They were not generated by AI or assembled from a distance. 
That matters because firsthand reporting gives readers a fuller story. 
When Bridge reporters are there, they can see conditions for themselves, hear directly from residents and ask the follow-up questions that help readers understand not just what happened, but why it matters. 
This summer, we’re raising $55,985  one dollar for every mile our journalists traveled last year  to help keep Bridge Michigan reporters on the road. 
That travel supports reporting across our newsroom, from politics, education, health and business to the environment, outdoor life, western Michigan, northern Michigan and the Upper Peninsula. 
In an era when misinformation spreads quickly, and more news is filtered through algorithms, firsthand reporting matters. 
Bridge Michigan journalism is reported by people who show up, listen, verify facts and work to understand what is happening on the ground. 
Reader contributions help cover the mileage, lodging and time it takes to deliver trusted, independent journalism from across Michigan. 
Bridge Michigan news is free for everyone to read, but it is not free to produce. 
We do not put our journalism behind a paywall because reliable information should be available to all Michiganders. 
That is possible because readers choose to support this work. 
Will you contribute to our summer campaign and help send Bridge Michigan reporters where the stories are? 
Yes, I’ll support firsthand reporting today! 
Thank you for helping Bridge Michigan go the distance for Michigan journalism. 
Confirmation Bias
11.5%
Anchoring Bias
0%
Availability Heuristic
13%
Representativeness Heuristic
7.7%
Hindsight Bias
0%
Overconfidence Bias
9.5%
Framing Effect
7.4%
Loss Aversion
12.7%
Status Quo Bias
5.3%
Sunk Cost Effect
18.6%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
3.3%
Self-Serving Bias
12.1%
Fundamental Attribution Error
5.6%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
10.9%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
5%
Primacy Effect
3.6%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
6.8%
False Dilemma
9.8%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
11.5%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
7.4%
Begging the Question
5.9%
Post Hoc (False Cause)
11.5%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
5.3%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
3.3%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
21.6%
Indoctrination
9.5%
Politically Left Leaning Bias
5%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
33.7%

338 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.