NY Post89%

Ex-Cal swimmers win legal victory against UC Berkeley in coach abuse lawsuit 21%

By Nina Joudeh75%

6/21/2026, 10:14:41 AM

BS Summary: This article contains 15 faulty reasoning types, including Negativity Bias, Anecdotal, and Confirmation Bias, with Biased Writer Voice as the most egregious example at 36.2% saturation with 228 hits. Analysis detected 1,090 faulty-reasoning hits from 629 analyzed words, generating a BS Score of 35.2% and a BS Rank of 21% (17,307 of 21,887 articles). This article is better (less manipulative) than 79.10% of the article peer group.

A group of former UC Berkeley swimmers who accused the school of ignoring years of heinous abuse allegations against its once-celebrated women’s swimming coach have won a major legal reversal. 
A California appeals court ruled Tuesday that 18 former Cal Golden Bears swimmers can move forward with their lawsuit against the University of California Board of Regents. 
The swimmers sued in 2024, claiming university officials turned a blind eye to years of alleged abuse by longtime women’s swimming coach Teri McKeever, who was fired in January 2023 after an outside law firm substantiated claims from dozens of athletes. 
The case was tossed in June 2024 after a judge found the statute of limitations had expired, since some of the allegations dated too far back. 
But a three-judge panel from the First Appellate District of California ruled the lawsuit can proceed under the discovery rule, which can pause the clock until plaintiffs reasonably learn they were harmed by alleged wrongdoing. 
“Plaintiffs acknowledge that while they were on the team, they knew they were suffering due to McKeever’s coaching,” the decision reads. 
“But plaintiffs argue they did not know McKeever’s conduct was anything other than legitimate, challenging coaching. 
That is, they did not know McKeever had committed any wrongdoing.” 
The ruling marks a huge twist in the legal fight against the university, which former swimmers claim allowed McKeever to remain in charge despite years of complaints. 
McKeever had been one of the most powerful figures in women’s swimming, leading Cal to four NCAA team titles and coaching the 2012 US Olympic women’s team. 
She was the first woman to serve as head coach of a US Olympic swimming team. 
But a Southern California News Group investigation in 2022 exposed a much different picture of the program  with 19 current and former swimmers, six parents, and a former member of the men’s team describing McKeever as a bully who allegedly verbally and emotionally abused athletes for years. 
Danielle Carter one of the swimmers who later sued, said McKeever accused her of lying about having epilepsy and screamed at her at practices, calling her “lazy,” “worthless,” “a waste of time” and “a piece of s**t.” 
She then transferred to the University of California Santa Barbara after leaving the women’s swimming program at Cal, stating at the time: “I am continuing to swim and search for a better swimming and academic program that will fit me and that I can contribute to.” 
Other former swimmers also said that McKeever’s alleged bullying pushed them into severe mental distress. 
“I didn’t want to exist in a world where I had to see Teri every day,” former Cal swimmer Chenoa Devine said. 
“I didn’t want to be alive. 
I didn’t want to exist.” 
The SCNG investigation also alleged that McKeever pressured swimmers to train or compete while injured or dealing with chronic illnesses, including epilepsy, Crohn’s disease, concussions, broken bones and eating disorders. 
Former Cal swimmer Chloe Clark said McKeever dismissed her Crohn’s disease symptoms and once told her, “No one died from swimming with a stomach ache, get in the water,” before Clark later underwent an emergency appendectomy. 
Swimmers also alleged that McKeever threw kickboards and water bottles, used profanities, body-shamed athletes and targeted one or two swimmers each year for regular verbal abuse. 
Cal fired McKeever on Jan. 31, 2023, after an outside investigation substantiated claims from dozens of swimmers that she had abused athletes for years. 
In 2023, McKeever admitted to emotionally and physically abusing Cal swimmers for more than 20 years as part of a US Center for SafeSport agreement. 
She agreed to a three-month suspension from US Olympic and Paralympic events and was placed on 12 months of probation. 
Article reasoning-pattern comparisonThis article: 12.2%Nina Joudeh: 2.9%California Post: 4.1%Confirmation Bias12.2%This article: 0.0%Nina Joudeh: 0.8%California Post: 1.4%Anchoring Bias0.0%This article: 10.0%Nina Joudeh: 3.9%California Post: 4.2%Availability Heuristic10.0%This article: 0.0%Nina Joudeh: 1.5%California Post: 1.1%Representativeness Heuristic0.0%This article: 0.0%Nina Joudeh: 0.5%California Post: 0.8%Hindsight Bias0.0%This article: 0.0%Nina Joudeh: 0.7%California Post: 2.2%Overconfidence Bias0.0%This article: 11.0%Nina Joudeh: 14.0%California Post: 10.3%Framing Effect11.0%This article: 0.0%Nina Joudeh: 1.4%California Post: 0.9%Loss Aversion0.0%This article: 0.0%Nina Joudeh: 1.1%California Post: 0.6%Status Quo Bias0.0%This article: 0.0%Nina Joudeh: 0.3%California Post: 0.2%Sunk Cost Effect0.0%This article: 0.0%Nina Joudeh: 2.7%California Post: 2.5%Optimism Bias0.0%This article: 0.0%Nina Joudeh: 2.8%California Post: 1.5%Pessimism Bias0.0%This article: 25.6%Nina Joudeh: 17.6%California Post: 16.0%Negativity Bias25.6%This article: 0.0%Nina Joudeh: 3.7%California Post: 2.4%Self-Serving Bias0.0%This article: 0.0%Nina Joudeh: 1.5%California Post: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Nina Joudeh: 0.2%California Post: 0.2%Actor-Observer Bias0.0%This article: 0.0%Nina Joudeh: 0.7%California Post: 1.6%In-Group Bias0.0%This article: 0.0%Nina Joudeh: 1.8%California Post: 1.1%Out-Group Homogeneity Bias0.0%This article: 6.8%Nina Joudeh: 1.7%California Post: 3.1%Halo Effect6.8%This article: 0.0%Nina Joudeh: 0.1%California Post: 0.6%Horn Effect0.0%This article: 0.0%Nina Joudeh: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Nina Joudeh: 1.7%California Post: 1.6%Recency Bias0.0%This article: 0.0%Nina Joudeh: 0.7%California Post: 0.5%Primacy Effect0.0%This article: 0.0%Nina Joudeh: 0.1%California Post: 0.0%Blind-Spot Bias0.0%This article: 0.0%Nina Joudeh: 5.0%California Post: 2.6%Ad Hominem0.0%This article: 0.0%Nina Joudeh: 0.2%California Post: 0.5%Straw Man0.0%This article: 7.8%Nina Joudeh: 2.7%California Post: 4.2%Appeal to Authority7.8%This article: 0.0%Nina Joudeh: 1.3%California Post: 1.5%False Dilemma0.0%This article: 0.0%Nina Joudeh: 1.0%California Post: 0.9%Slippery Slope0.0%This article: 0.0%Nina Joudeh: 0.0%California Post: 0.2%Circular Reasoning0.0%This article: 6.5%Nina Joudeh: 5.1%California Post: 5.5%Hasty Generalization6.5%This article: 0.0%Nina Joudeh: 0.3%California Post: 0.7%Red Herring0.0%This article: 0.0%Nina Joudeh: 0.7%California Post: 1.4%Bandwagon0.0%This article: 11.1%Nina Joudeh: 7.3%California Post: 8.9%Appeal to Emotion11.1%This article: 1.7%Nina Joudeh: 0.4%California Post: 1.1%Begging the Question1.7%This article: 5.7%Nina Joudeh: 2.3%California Post: 2.7%Post Hoc (False Cause)5.7%This article: 0.0%Nina Joudeh: 0.1%California Post: 0.2%Tu Quoque0.0%This article: 0.0%Nina Joudeh: 0.3%California Post: 0.8%Burden of Proof0.0%This article: 0.0%Nina Joudeh: 0.0%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Nina Joudeh: 0.1%California Post: 0.2%Composition/Division0.0%This article: 22.7%Nina Joudeh: 4.2%California Post: 3.6%Anecdotal22.7%This article: 0.0%Nina Joudeh: 0.0%California Post: 0.0%No True Scotsman0.0%This article: 4.1%Nina Joudeh: 1.4%California Post: 2.0%Ambiguity (Equivocation)4.1%This article: 0.0%Nina Joudeh: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Nina Joudeh: 0.0%California Post: 0.1%Middle Ground0.0%This article: 0.0%Nina Joudeh: 0.3%California Post: 0.1%Personal Incredulity0.0%This article: 0.0%Nina Joudeh: 0.4%California Post: 0.2%Special Pleading0.0%This article: 0.0%Nina Joudeh: 0.8%California Post: 0.4%Genetic Fallacy0.0%This article: 8.3%Nina Joudeh: 3.8%California Post: 3.2%Unattributed Quote8.3%This article: 3.3%Nina Joudeh: 2.1%California Post: 2.1%Quote-first Misdirection3.3%This article: 36.2%Nina Joudeh: 15.2%California Post: 13.1%Biased Writer Voice36.2%This article: 0.0%Nina Joudeh: 0.7%California Post: 1.4%Indoctrination0.0%This article: 0.0%Nina Joudeh: 0.7%California Post: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Nina Joudeh: 4.4%California Post: 3.0%Politically Right Leaning Bias0.0%This article: 0.0%Nina Joudeh: 0.8%California Post: 6.0%Attempt to Sell a Product or S…0.0%

629 words analyzed.

Speakers

3speakers17%attributed speech523writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 41 words • 100.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 48 words • 100.0% coverageDanielle Carter • 37 words • 100.0% coverageWriter's voice • 46 words • 0.0% coverageWriter's voice • 15 words • 100.0% coverageChenoa Devine • 22 words • 0.0% coverageChenoa Devine • 6 words • 0.0% coverageChenoa Devine • 5 words • 0.0% coverageWriter's voice • 30 words • 100.0% coverageChloe Clark • 36 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverage
Selected voice

Danielle Carter

100%flagged-word coverage
37 attributed words35% of attributed speech76% writer coverage
0%50.0%100.0%Unattributed Quote+97.1 ptsWriter: 2.9%Danielle Carter: 100.0%100.0%Biased Writer Voice-43.6 ptsWriter: 43.6%Danielle Carter: 0.0%0.0%Quote-first Misdirection-4.0 ptsWriter: 4.0%Danielle Carter: 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.