Former U.S. Olympic canoeist David Hearn faces felony charge for allegedly vandalizing Lincoln Memorial Reflecting Pool 15%

By Ian Casselberry0%

7/2/2026, 8:29:14 PM

BS Summary: This article contains 12 faulty reasoning types, including Self-Serving Bias, Halo Effect, and Recency Bias, with Appeal to Authority as the most egregious example at 23.8% saturation with 80 hits. Analysis detected 367 faulty-reasoning hits from 336 analyzed words, generating a BS Score of 31.3% and a BS Rank of 15% (18,044 of 21,176 articles). This article is better (less manipulative) than 85.20% of the article peer group.

Former U.S. 
Olympic canoeist David Hearn was indicted by a grand jury in Washington, D.C. on charges of vandalizing the Lincoln Memorial Reflecting Pool, according to court documents released on Thursday. 
He was charged with "destruction of property $1,000 or more," a felony. 
Hearn, 67, was arrested by U.S. 
Park police officers on June 19 after reaching into the Reflecting Pool. 
He claimed to the Washington Post that he reached into the pool to touch a piece of paint that had peeled off from the bottom of the basin and floated to the top of the water. 
The Reflecting Pool has been in the news since President Donald Trump announced that he would fix the "once beautiful" body of water in time for the United States' 250th anniversary on July 4. 
The repair project was projected to cost $14 million. 
President Trump blamed vandals for the setbacks with the Reflecting Pool. 
The National Park Service alleged that the sealant was cut with knives or razors. 
Hearn was one of the first people to be charged with destruction of government property. 
Federal officials arrested six others on charges of vandalizing the pool, according to the New York Times. 
U.S. 
Attorney for D.C., Jeanine Pirro, said she was examining the other cases, some of which would be charged as misdemeanors. 
Hearn  not to be confused with PGA golfer David Hearn  competed in three Olympic Games in the canoe slalom, finishing ninth in the C-1 race at the 1996 Atlanta Games. 
He also raced in the 1992 Barcelona and 2000 Sydney Olympics. 
Hearn also won six consecutive world championships in the C-1 team competition from 1979 to 1989, and two individual titles in 1985 and 1995. 
"I didn't vandalize anything," Hearn told the Washington Post at the time. 
"I didn't destroy or break or peel anything. 
By the time I realized what was going on, I was being put in handcuffs." 
Article reasoning-pattern comparisonThis article: 0.0%Ian Casselberry: 0.0%Associated Press: 2.1%Confirmation Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.3%Anchoring Bias0.0%This article: 5.1%Ian Casselberry: 1.3%Associated Press: 2.9%Availability Heuristic5.1%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.8%Representativeness Heuristic0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.4%Hindsight Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.4%Overconfidence Bias0.0%This article: 7.7%Ian Casselberry: 4.5%Associated Press: 5.4%Framing Effect7.7%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.9%Loss Aversion0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.5%Status Quo Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Sunk Cost Effect0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.6%Optimism Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.3%Pessimism Bias0.0%This article: 3.3%Ian Casselberry: 0.8%Associated Press: 7.3%Negativity Bias3.3%This article: 21.1%Ian Casselberry: 5.3%Associated Press: 1.6%Self-Serving Bias21.1%This article: 3.3%Ian Casselberry: 0.8%Associated Press: 0.7%Fundamental Attribution Error3.3%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.2%Actor-Observer Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.8%In-Group Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.2%Out-Group Homogeneity Bias0.0%This article: 19.9%Ian Casselberry: 10.0%Associated Press: 3.9%Halo Effect19.9%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.2%Horn Effect0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.0%Dunning-Kruger Effect0.0%This article: 10.1%Ian Casselberry: 2.5%Associated Press: 1.4%Recency Bias10.1%This article: 4.5%Ian Casselberry: 2.2%Associated Press: 0.4%Primacy Effect4.5%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.0%Blind-Spot Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.7%Ad Hominem0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Straw Man0.0%This article: 23.8%Ian Casselberry: 6.0%Associated Press: 4.1%Appeal to Authority23.8%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.1%False Dilemma0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.3%Slippery Slope0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Circular Reasoning0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 3.3%Hasty Generalization0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.3%Red Herring0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.7%Bandwagon0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 4.7%Appeal to Emotion0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.6%Begging the Question0.0%This article: 3.3%Ian Casselberry: 0.8%Associated Press: 1.8%Post Hoc (False Cause)3.3%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Tu Quoque0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.5%Burden of Proof0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Appeal to Nature0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.2%Composition/Division0.0%This article: 3.6%Ian Casselberry: 0.9%Associated Press: 1.8%Anecdotal3.6%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%No True Scotsman0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Middle Ground0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Personal Incredulity0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.2%Special Pleading0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Genetic Fallacy0.0%This article: 3.6%Ian Casselberry: 0.9%Associated Press: 1.8%Unattributed Quote3.6%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.4%Quote-first Misdirection0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 6.1%Biased Writer Voice0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 1.8%Indoctrination0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Ian Casselberry: 0.0%Associated Press: 3.7%Attempt to Sell a Product or S…0.0%

336 words analyzed.

Speakers

4speakers35%attributed speech220writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 2 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageDavid Hearn • 36 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageDonald Trump • 11 words • 0.0% coverageNational Park Service • 14 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageJeanine Pirro • 20 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageDavid Hearn • 12 words • 100.0% coverageDavid Hearn • 8 words • 0.0% coverageDavid Hearn • 15 words • 0.0% coverage
Selected voice

Donald Trump

100%flagged-word coverage
11 attributed words9.5% of attributed speech85% 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.