Rowers and bystanders rescue man who drove into Schuylkill 18%

By Brett Sholtis0%

7/10/2026, 5:24:23 PM

BS Summary: This article contains 22 faulty reasoning types, including Biased Writer Voice, Halo Effect, and Ambiguity (Equivocation), with Framing Effect as the most egregious example at 14.9% saturation with 80 hits. Analysis detected 741 faulty-reasoning hits from 538 analyzed words, generating a BS Score of 33.1% and a BS Rank of 18% (18,067 of 21,887 articles). This article is better (less manipulative) than 82.50% of the article peer group.

A tow truck pulling out and loading up a car after it had plunged into the Schuylkill and the driver was helped by bystanders to escape. 
Read more Tyger Williams / Staff Photographer 
Updated July 10, 2026, 8:24 p.m. 
ET 
Published July 10, 2026, 5:34 p.m. 
ET 
Two elite rowers and a couple of bystanders jumped into action  and into the water  Friday afternoon to rescue a man who drove his car into the Schuylkill . 
Libby Peters, a 43-year-old former college rowing coach from Fairmount , was being interviewed for a documentary near the St. 
Joseph’s University boathouse when she heard a crash. 
“I saw water up in the air, and I looked and saw a vehicle, pretty far off  it was strange how far into the river it had gotten," Peters said. 
She ran to the dock and dived into the water. 
As she swam, she saw the car beginning to sink, Peters said. 
She reached the car and shouted at the driver to wake him up. 
The doors were locked, she said, so she began pulling him through the window. 
“The car was sinking, and he was going in and out of consciousness, so I just kept trying to keep him awake,” she said. 
“And I was pretty worried that once the car went down I wouldn’t be able to hold on to him anymore.” 
As the car went underwater, Peters realized she was not alone: A man and a woman who had seen the crash had retrieved life jackets from the boathouse and swam out to help. 
“I just thank God that just as the car went under, they got there, the two other swimmers, and they had life jackets,” Peters said. 
“The three of us together were able to keep him afloat.” 
Temple University ’s head coach for women’s rowing, Rebecca Grzybowski, was also at the river for the documentary. 
When she saw her former teammate from the U.S. 
Women’s National Rowing Team dive into the river, she fired up one of the small motorboats used by rowing coaches and headed onto the water. 
”It was almost like we both knew what we needed to do," Grzybowski said. 
Grzybowski estimated that Peters and the good Samaritans swam about 200 meters (about 650 feet) in water that was about 10 feet deep. 
When they got back to shore, emergency medical personnel took over. 
“Our job was getting him out of there, responding quickly,” she said. 
“I’m really glad that we were in the right place in the right time.” 
A police captain at the scene said he was unsure of the man’s status. 
A tow truck lifted the burgundy Chevrolet sedan from the river Friday afternoon. 
Divers with the police department were seen coming to shore. 
Peters said she had been told the man was “OK,” and said she was grateful for everyone who helped. 
“I feel a ton of gratitude,” Peters said. 
“I think that there were a lot of factors and had one thing not been in place, it would have been a really different outcome.” 
I cover breaking news and ongoing stories that don’t stop when the weekend begins. 
Article reasoning-pattern comparisonThis article: 4.6%Brett Sholtis: 1.1%Inquirer.com: 2.1%Confirmation Bias4.6%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 1.0%Anchoring Bias0.0%This article: 6.1%Brett Sholtis: 1.4%Inquirer.com: 2.5%Availability Heuristic6.1%This article: 2.6%Brett Sholtis: 0.6%Inquirer.com: 0.7%Representativeness Heuristic2.6%This article: 4.6%Brett Sholtis: 4.4%Inquirer.com: 0.8%Hindsight Bias4.6%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.9%Overconfidence Bias0.0%This article: 14.9%Brett Sholtis: 4.0%Inquirer.com: 5.0%Framing Effect14.9%This article: 0.0%Brett Sholtis: 1.9%Inquirer.com: 0.5%Loss Aversion0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.4%Status Quo Bias0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.3%Sunk Cost Effect0.0%This article: 7.8%Brett Sholtis: 3.1%Inquirer.com: 2.7%Optimism Bias7.8%This article: 3.9%Brett Sholtis: 1.8%Inquirer.com: 0.8%Pessimism Bias3.9%This article: 5.8%Brett Sholtis: 3.7%Inquirer.com: 5.7%Negativity Bias5.8%This article: 8.7%Brett Sholtis: 2.0%Inquirer.com: 1.4%Self-Serving Bias8.7%This article: 2.2%Brett Sholtis: 0.5%Inquirer.com: 0.7%Fundamental Attribution Error2.2%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.2%Actor-Observer Bias0.0%This article: 5.8%Brett Sholtis: 2.4%Inquirer.com: 1.2%In-Group Bias5.8%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.2%Out-Group Homogeneity Bias0.0%This article: 12.1%Brett Sholtis: 4.1%Inquirer.com: 4.4%Halo Effect12.1%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.0%Horn Effect0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 1.4%Recency Bias0.0%This article: 1.7%Brett Sholtis: 0.4%Inquirer.com: 0.3%Primacy Effect1.7%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Blind-Spot Bias0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.6%Ad Hominem0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Straw Man0.0%This article: 7.1%Brett Sholtis: 3.4%Inquirer.com: 2.3%Appeal to Authority7.1%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 1.1%False Dilemma0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.2%Slippery Slope0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Circular Reasoning0.0%This article: 2.6%Brett Sholtis: 0.6%Inquirer.com: 3.3%Hasty Generalization2.6%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Red Herring0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.5%Bandwagon0.0%This article: 4.6%Brett Sholtis: 1.1%Inquirer.com: 3.1%Appeal to Emotion4.6%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.7%Begging the Question0.0%This article: 4.6%Brett Sholtis: 1.1%Inquirer.com: 1.8%Post Hoc (False Cause)4.6%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.0%Tu Quoque0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.3%Burden of Proof0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Appeal to Nature0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Composition/Division0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 2.1%Anecdotal0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.0%No True Scotsman0.0%This article: 10.0%Brett Sholtis: 2.3%Inquirer.com: 1.3%Ambiguity (Equivocation)10.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.2%Middle Ground0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.0%Personal Incredulity0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Special Pleading0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.1%Genetic Fallacy0.0%This article: 5.8%Brett Sholtis: 3.1%Inquirer.com: 1.3%Unattributed Quote5.8%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.8%Quote-first Misdirection0.0%This article: 14.9%Brett Sholtis: 4.0%Inquirer.com: 4.4%Biased Writer Voice14.9%This article: 4.6%Brett Sholtis: 1.1%Inquirer.com: 1.5%Indoctrination4.6%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Brett Sholtis: 0.0%Inquirer.com: 0.2%Politically Right Leaning Bias0.0%This article: 2.6%Brett Sholtis: 1.6%Inquirer.com: 1.5%Attempt to Sell a Product or S…2.6%

538 words analyzed.

Speakers

3speakers72%attributed speech149writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageLibby Peters • 20 words • 0.0% coverageLibby Peters • 8 words • 0.0% coverageLibby Peters • 31 words • 100.0% coverageLibby Peters • 10 words • 0.0% coverageLibby Peters • 12 words • 0.0% coverageLibby Peters • 13 words • 0.0% coverageLibby Peters • 14 words • 0.0% coverageLibby Peters • 24 words • 0.0% coverageLibby Peters • 21 words • 0.0% coverageLibby Peters • 33 words • 0.0% coverageLibby Peters • 25 words • 100.0% coverageLibby Peters • 11 words • 0.0% coverageTemple University • 18 words • 0.0% coverageRebecca Grzybowski • 9 words • 0.0% coverageRebecca Grzybowski • 25 words • 0.0% coverageRebecca Grzybowski • 14 words • 0.0% coverageRebecca Grzybowski • 23 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageRebecca Grzybowski • 12 words • 0.0% coverageRebecca Grzybowski • 14 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageLibby Peters • 19 words • 0.0% coverageLibby Peters • 8 words • 0.0% coverageLibby Peters • 25 words • 0.0% coverageWriter's voice • 14 words • 100.0% coverage
Selected voice

Rebecca Grzybowski

91%flagged-word coverage
97 attributed words25% of attributed speech54% writer coverage
0%27.5%55.0%Biased Writer Voice-53.7 ptsWriter: 53.7%Rebecca Grzybowski: 0.0%0.0%Attempt to Sell a Product -9.4 ptsWriter: 9.4%Rebecca Grzybowski: 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.