CBC Radio⁠49%

He was teaching CPR, then went into cardiac arrest. His students saved him ⁠8%

By Sheena Goodyear⁠0%

5/5/2026, 9:25:14 PM

BS Summary: This article contains 18 faulty reasoning types, including Appeal to Emotion, Self-Serving Bias, and Availability Heuristic, with Anecdotal as the most egregious example at 19.2% saturation with 118 hits. Analysis detected 789 faulty-reasoning hits from 614 analyzed words, generating a BS Score of 24.6% and a BS Rank of ⁠8% (20,192 of 21,886 articles). This article is better (less manipulative) than 92.30% of the article peer group.

Karl Arps was demonstrating the signs of a heart attack during a training course when he really had one, and went into cardiac arrest. 
Realizing something was amiss, students at Fox Valley Technical College in Appleton, Wis., immediately sprung into action during the March 25 demonstration. 
The last thing Arps remembers is feeling dizzy and hearing a student say he didn't look right. 
The next thing he remembers is waking up in an ambulance. 
"From what I was told, they did everything like we told them to do in CPR class," the 72-year-old instructor told As It Happens host Nil Köksal. 
"Thank you does not seem enough. 
They saved my life, period." 
From scenario to reality 
Student Logan Lehrer, a firefighter training as an Emergency Medical Technician, remembers the moment he realized something was off. 
Arps's hand had curled outward, his face was contorted and he began snoring. 
For a second, Lehrer says he thought it might be a joke or a test, but he felt a pit in his stomach. 
The students called over another instructor, Traci Blondeau. 
She tried to "snap him out of it," and soon realized he wasn't acting. 
"That's immediately when we started responding to the situation," Lehrer said. 
Lehrer called 911, while the others attended to Arps. 
Under the guidance of their instructor, they took turns administering CPR and a defibrillator until first responders arrived on the scene. 
All together, six students were involved in responding to Arps. 
"We all had our tasks, and we all knew what to do," Lehrer said. 
"There was not a student out there that was fumbling." 
Within minutes, first responders from Gold Cross Ambulance and Greenville First Responders arrived on the scene. 
"The early recognition that Karl was in cardiac arrest, along with the immediate actions taken by FVTC students and staff, directly contributed to Mr. 
Arps’s positive outcome," Nick Romenesko, executive director of Gold Cross Ambulance, wrote in an email. 
According to the American Red Cross, fewer than 10 per cent of people survive cardiac arrest outside of the hospital, but the survival rate can triple for those who are treated with CPR and a portable defibrillator by bystanders. 
"The students and staff involved should be incredibly proud of this outcome," Romenesko said. 
Recovering and ready for work 
Arps, who underwent triple-bypass surgery in hospital, says he's amazed he's even alive. 
"I've been in practice for a quarter of a century, and I can count the number of CPR saves that I've had on one hand. 
[Sometimes] we get a pulse back in the ambulance or on scene, but the person ends up passing away two or three days later in the hospital," Arps said. 
"I had a heart attack, I had the surgery, and I walked out of that hospital seven days later." 
Arps, now on the mend, says he can't wait to return to work in a few more months. 
In the meantime, he has been back to the school twice to visit his students. 
"I was able to give each one of my students a life-saving pin that the college provided and give them a little sugary treat that I brought in saying thank you," he said. 
Lehrer says the experience has taught him a lot about staying cool while responding to emergency situations. 
Arps says it taught him that his students really do listen when he's teaching. 
"I often think, are they just taking up space in this classroom, or are they actually listening? 
Well, now I know they're actually listening and they're paying attention," he said. 
"And thank God that they were there." 
Article reasoning-pattern comparisonThis article: 5.2%Sheena Goodyear: 3.4%CBC: 2.6%Confirmation Bias5.2%This article: 0.0%Sheena Goodyear: 0.9%CBC: 0.7%Anchoring Bias0.0%This article: 11.2%Sheena Goodyear: 3.6%CBC: 3.1%Availability Heuristic11.2%This article: 0.0%Sheena Goodyear: 1.6%CBC: 1.1%Representativeness Heuristic0.0%This article: 0.7%Sheena Goodyear: 1.0%CBC: 1.0%Hindsight Bias0.7%This article: 4.1%Sheena Goodyear: 0.6%CBC: 1.4%Overconfidence Bias4.1%This article: 0.0%Sheena Goodyear: 2.9%CBC: 4.2%Framing Effect0.0%This article: 0.0%Sheena Goodyear: 0.8%CBC: 0.6%Loss Aversion0.0%This article: 0.0%Sheena Goodyear: 0.8%CBC: 0.6%Status Quo Bias0.0%This article: 0.0%Sheena Goodyear: 0.3%CBC: 0.2%Sunk Cost Effect0.0%This article: 9.0%Sheena Goodyear: 1.9%CBC: 4.0%Optimism Bias9.0%This article: 0.0%Sheena Goodyear: 1.2%CBC: 1.4%Pessimism Bias0.0%This article: 8.5%Sheena Goodyear: 4.8%CBC: 5.7%Negativity Bias8.5%This article: 12.1%Sheena Goodyear: 1.2%CBC: 1.2%Self-Serving Bias12.1%This article: 2.3%Sheena Goodyear: 0.3%CBC: 0.9%Fundamental Attribution Error2.3%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.2%Actor-Observer Bias0.0%This article: 3.9%Sheena Goodyear: 0.6%CBC: 1.2%In-Group Bias3.9%This article: 0.0%Sheena Goodyear: 0.4%CBC: 0.3%Out-Group Homogeneity Bias0.0%This article: 4.6%Sheena Goodyear: 2.3%CBC: 3.6%Halo Effect4.6%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.1%Horn Effect0.0%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Sheena Goodyear: 0.7%CBC: 1.2%Recency Bias0.0%This article: 0.0%Sheena Goodyear: 0.4%CBC: 0.4%Primacy Effect0.0%This article: 0.0%Sheena Goodyear: 0.1%CBC: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sheena Goodyear: 0.3%CBC: 0.4%Ad Hominem0.0%This article: 0.0%Sheena Goodyear: 0.1%CBC: 0.2%Straw Man0.0%This article: 8.8%Sheena Goodyear: 4.3%CBC: 3.7%Appeal to Authority8.8%This article: 0.0%Sheena Goodyear: 0.9%CBC: 1.3%False Dilemma0.0%This article: 0.0%Sheena Goodyear: 0.5%CBC: 0.4%Slippery Slope0.0%This article: 0.0%Sheena Goodyear: 0.1%CBC: 0.2%Circular Reasoning0.0%This article: 6.2%Sheena Goodyear: 4.7%CBC: 4.8%Hasty Generalization6.2%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.2%Red Herring0.0%This article: 0.0%Sheena Goodyear: 0.3%CBC: 0.6%Bandwagon0.0%This article: 13.2%Sheena Goodyear: 4.9%CBC: 4.2%Appeal to Emotion13.2%This article: 0.0%Sheena Goodyear: 0.3%CBC: 0.6%Begging the Question0.0%This article: 8.3%Sheena Goodyear: 2.3%CBC: 2.5%Post Hoc (False Cause)8.3%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.0%Tu Quoque0.0%This article: 0.0%Sheena Goodyear: 0.2%CBC: 0.3%Burden of Proof0.0%This article: 0.0%Sheena Goodyear: 0.2%CBC: 0.3%Appeal to Nature0.0%This article: 0.0%Sheena Goodyear: 0.3%CBC: 0.3%Composition/Division0.0%This article: 19.2%Sheena Goodyear: 4.0%CBC: 3.3%Anecdotal19.2%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.1%No True Scotsman0.0%This article: 0.0%Sheena Goodyear: 1.5%CBC: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.1%Middle Ground0.0%This article: 0.0%Sheena Goodyear: 0.2%CBC: 0.1%Personal Incredulity0.0%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.1%Special Pleading0.0%This article: 0.0%Sheena Goodyear: 0.1%CBC: 0.1%Genetic Fallacy0.0%This article: 0.0%Sheena Goodyear: 0.8%CBC: 1.1%Unattributed Quote0.0%This article: 0.0%Sheena Goodyear: 0.8%CBC: 0.8%Quote-first Misdirection0.0%This article: 1.0%Sheena Goodyear: 1.7%CBC: 4.8%Biased Writer Voice1.0%This article: 5.0%Sheena Goodyear: 1.3%CBC: 2.4%Indoctrination5.0%This article: 0.0%Sheena Goodyear: 0.5%CBC: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Sheena Goodyear: 0.0%CBC: 0.1%Politically Right Leaning Bias0.0%This article: 5.4%Sheena Goodyear: 0.7%CBC: 1.7%Attempt to Sell a Product or S…5.4%

614 words analyzed.

Speakers

5speakers77%attributed speech142writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageKarl Arps • 17 words • 0.0% coverageKarl Arps • 11 words • 0.0% coverageKarl Arps • 27 words • 0.0% coverageKarl Arps • 6 words • 100.0% coverageKarl Arps • 5 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageLogan Lehrer • 13 words • 0.0% coverageLogan Lehrer • 23 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageTraci Blondeau • 14 words • 0.0% coverageLogan Lehrer • 11 words • 0.0% coverageLogan Lehrer • 9 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageLogan Lehrer • 14 words • 0.0% coverageLogan Lehrer • 10 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageNick Romenesko • 24 words • 0.0% coverageNick Romenesko • 15 words • 0.0% coverageAmerican Red Cross • 39 words • 0.0% coverageNick Romenesko • 14 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageKarl Arps • 13 words • 0.0% coverageKarl Arps • 25 words • 0.0% coverageKarl Arps • 29 words • 0.0% coverageKarl Arps • 19 words • 0.0% coverageKarl Arps • 18 words • 0.0% coverageKarl Arps • 15 words • 0.0% coverageKarl Arps • 33 words • 100.0% coverageLogan Lehrer • 17 words • 100.0% coverageKarl Arps • 14 words • 0.0% coverageKarl Arps • 17 words • 0.0% coverageKarl Arps • 13 words • 0.0% coverageKarl Arps • 7 words • 0.0% coverage
Selected voice

American Red Cross

100%flagged-word coverage
39 attributed words8.3% of attributed speech6.3% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.