BS Summary: This article contains 23 faulty reasoning types, including Attempt to Sell a Product or Service, Hasty Generalization, and Framing Effect, with Appeal to Emotion as the most egregious example at 17% saturation with 101 hits. Analysis detected 984 faulty-reasoning hits from 594 analyzed words, generating a BS Score of 52.1% and a BS Rank of 54% (10,222 of 21,887 articles). This article is worse (more manipulative) than 53.30% of the article peer group.

Dean Dr. 
Ahmed Radwan of the College of Health Professions at the University of Detroit Mercy is hoping to bring more first-generation students to the private university. 
“First gen students need extra care… if you are a first gen, this means that you’re on your own. 
So we, as a university and as a college have to replace the extra support at home and offer it here for the students,” he says. 
Ties to immigrant experience 
Radwan was born and raised in Cairo. 
He moved to the United States about 20 years ago. 
He previously served as s a professor of physical therapy, and later the the Dean of Health Professions at the Utica University in New York. 
He joined the University of Detroit Mercy in 2024. 
Radwan says that although he was not a first-generation student in the U.S., he felt similar experiences when he moved to the U.S. 
“Everything was new. 
I had to teach myself how to advise my own children at school, because I have not attended school here in the States… I realized how important it is to offer the extra help that is needed at the University for first gen, if we truly care about them and about their success,” he shares. 
UDM makes plans to help first gen students 
He says UDM provides extra help to students. 
That includes providing students with a faculty advisor, success coaches, and assistance from the Office of Student Support. 
He says there’s also a peer educator system. 
“I think the student has multiple levels of support, not just one or two,” he says, noting that its not only his passion to support first gen students, but also the university’s mission. 
He says the university provides summer camps, starting in middle school, to expose them to different career fields. 
First gen students add to campus diversity 
Radwan says there are several first-gen students and diverse students on campus. 
“I think it depends on the program, but in certain majors, you will be surprised that diversity represents more than 60% of the class,” he shares. 
Radwan says many minority families expect their first-gen children to pursue specific careers, but he says there are more options. 
“Families, especially families coming from the Middle East, they have a preference towards their children being physicians, engineers, lawyers, but there are other health professions that could be even more successful as a career,” he says. 
One of those fields is nursing, due to the national shortage. 
He says the College of Health Professions and Catherine McAuley School of Nursing offers several programs. 
It’s an option for students who want to shift another field, “and quickly help them a career shift to nursing to become nurse,” he says. 
Radwan explains that these programs are also designed for foreign-born students who need to transfer their skills and work credentials. 
The program is offered at the Novi campus, and will be offered in Grand Rapids, in collaboration with Aquinas College campus. 
Radwan says the Catholic university welcomes people of diverse faith traditions. 
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The post DER Weekends: Pathways for first-gen students at the University of Detroit Mercy appeared first on WDET 101.9 FM . 
Article reasoning-pattern comparisonThis article: 7.7%Nargis Rahman: 1.8%WDET: 1.7%Confirmation Bias7.7%This article: 0.0%Nargis Rahman: 0.2%WDET: 0.4%Anchoring Bias0.0%This article: 3.9%Nargis Rahman: 3.0%WDET: 2.3%Availability Heuristic3.9%This article: 4.4%Nargis Rahman: 0.9%WDET: 0.7%Representativeness Heuristic4.4%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.2%Hindsight Bias0.0%This article: 0.0%Nargis Rahman: 2.3%WDET: 1.0%Overconfidence Bias0.0%This article: 13.6%Nargis Rahman: 3.3%WDET: 4.7%Framing Effect13.6%This article: 3.0%Nargis Rahman: 1.2%WDET: 0.9%Loss Aversion3.0%This article: 1.3%Nargis Rahman: 0.3%WDET: 0.3%Status Quo Bias1.3%This article: 0.0%Nargis Rahman: 0.1%WDET: 0.1%Sunk Cost Effect0.0%This article: 8.4%Nargis Rahman: 3.8%WDET: 3.5%Optimism Bias8.4%This article: 0.0%Nargis Rahman: 1.3%WDET: 0.9%Pessimism Bias0.0%This article: 0.0%Nargis Rahman: 2.8%WDET: 3.4%Negativity Bias0.0%This article: 9.3%Nargis Rahman: 2.2%WDET: 1.6%Self-Serving Bias9.3%This article: 0.0%Nargis Rahman: 0.1%WDET: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.1%Actor-Observer Bias0.0%This article: 1.2%Nargis Rahman: 1.7%WDET: 1.2%In-Group Bias1.2%This article: 3.4%Nargis Rahman: 1.4%WDET: 0.6%Out-Group Homogeneity Bias3.4%This article: 13.1%Nargis Rahman: 2.6%WDET: 5.6%Halo Effect13.1%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.0%Horn Effect0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Nargis Rahman: 0.7%WDET: 0.9%Recency Bias0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.3%Primacy Effect0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.0%Blind-Spot Bias0.0%This article: 0.0%Nargis Rahman: 0.2%WDET: 0.2%Ad Hominem0.0%This article: 0.0%Nargis Rahman: 0.1%WDET: 0.1%Straw Man0.0%This article: 7.4%Nargis Rahman: 2.8%WDET: 3.3%Appeal to Authority7.4%This article: 0.0%Nargis Rahman: 1.7%WDET: 1.0%False Dilemma0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.0%Slippery Slope0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.1%Circular Reasoning0.0%This article: 13.8%Nargis Rahman: 5.7%WDET: 3.4%Hasty Generalization13.8%This article: 0.0%Nargis Rahman: 0.1%WDET: 0.1%Red Herring0.0%This article: 0.0%Nargis Rahman: 1.2%WDET: 0.5%Bandwagon0.0%This article: 17.0%Nargis Rahman: 4.8%WDET: 4.6%Appeal to Emotion17.0%This article: 13.6%Nargis Rahman: 0.9%WDET: 0.6%Begging the Question13.6%This article: 1.9%Nargis Rahman: 1.9%WDET: 1.5%Post Hoc (False Cause)1.9%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.0%Tu Quoque0.0%This article: 0.0%Nargis Rahman: 0.7%WDET: 0.4%Burden of Proof0.0%This article: 0.0%Nargis Rahman: 0.3%WDET: 0.1%Appeal to Nature0.0%This article: 1.2%Nargis Rahman: 0.1%WDET: 0.1%Composition/Division1.2%This article: 13.1%Nargis Rahman: 1.9%WDET: 1.8%Anecdotal13.1%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.1%No True Scotsman0.0%This article: 0.5%Nargis Rahman: 1.1%WDET: 1.2%Ambiguity (Equivocation)0.5%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Nargis Rahman: 0.0%WDET: 0.1%Middle Ground0.0%This article: 0.0%Nargis Rahman: 0.2%WDET: 0.1%Personal Incredulity0.0%This article: 4.2%Nargis Rahman: 0.4%WDET: 0.1%Special Pleading4.2%This article: 0.0%Nargis Rahman: 0.1%WDET: 0.0%Genetic Fallacy0.0%This article: 4.4%Nargis Rahman: 0.7%WDET: 0.8%Unattributed Quote4.4%This article: 0.0%Nargis Rahman: 0.4%WDET: 0.7%Quote-first Misdirection0.0%This article: 0.0%Nargis Rahman: 0.8%WDET: 4.1%Biased Writer Voice0.0%This article: 3.0%Nargis Rahman: 3.4%WDET: 2.6%Indoctrination3.0%This article: 0.0%Nargis Rahman: 0.7%WDET: 0.3%Politically Left Leaning Bias0.0%This article: 0.0%Nargis Rahman: 0.3%WDET: 0.1%Politically Right Leaning Bias0.0%This article: 16.2%Nargis Rahman: 7.7%WDET: 7.1%Attempt to Sell a Product or S…16.2%

594 words analyzed.

Speakers

2speakers78%attributed speech129writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageAhmed Radwan • 25 words • 0.0% coverageAhmed Radwan • 19 words • 0.0% coverageAhmed Radwan • 26 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageAhmed Radwan • 23 words • 0.0% coverageAhmed Radwan • 3 words • 0.0% coverageAhmed Radwan • 55 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageAhmed Radwan • 8 words • 0.0% coverageAhmed Radwan • 18 words • 0.0% coverageAhmed Radwan • 8 words • 0.0% coverageAhmed Radwan • 33 words • 0.0% coverageAhmed Radwan • 18 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageAhmed Radwan • 12 words • 0.0% coverageAhmed Radwan • 26 words • 0.0% coverageAhmed Radwan • 20 words • 0.0% coverageAhmed Radwan • 36 words • 0.0% coverageAhmed Radwan • 11 words • 0.0% coverageAhmed Radwan • 16 words • 0.0% coverageAhmed Radwan • 25 words • 100.0% coverageAhmed Radwan • 20 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageAhmed Radwan • 11 words • 0.0% coverageWriter's voice • 3 words • 100.0% coverageWDET • 9 words • 0.0% coverageWDET • 25 words • 100.0% coverageWDET • 18 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverage
Selected voice

WDET

100%flagged-word coverage
52 attributed words11% of attributed speech36% writer coverage
0%42.5%85.0%Attempt to Sell a Product +61.0 ptsWriter: 21.7%WDET: 82.7%82.7%Indoctrination+34.6 ptsWriter: 0.0%WDET: 34.6%34.6%

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.