BS Summary: This article contains 16 faulty reasoning types, including Halo Effect, Availability Heuristic, and Blind-Spot Bias, with Optimism Bias as the most egregious example at 17.4% saturation with 64 hits. Analysis detected 554 faulty-reasoning hits from 368 analyzed words, generating a BS Score of 44.5% and a BS Rank of 39% (13,425 of 21,887 articles). This article is better (less manipulative) than 61.30% of the article peer group.

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Add The New York Post on Google 
Meet the newlyweds  at another happy couple’s nuptials. 
Just one week after their star-studded Madison Square Garden wedding extravaganza, Travis Kelce and Taylor Swift stepped out as newlyweds to attend new Giants receiver JuJu Smith-Schuster’s wedding Friday to fitness influencer Laura Kruk in Laguna Beach, Calif. 
Kelce, 36, wore a black suit with a black tie, while Swift, also 36, wore a pink floral dress in what is believed to be the first public sighting of the now-married couple since their wedding. 
Travis Kelce and Taylor Swift at JuJu Smith-Schuster’s wedding Friday. 
BACKGRID 
Photographers captured Swift’s hand displaying her new wedding ring , while other shots showed the mega popstar mingling with the groom and bride, plus Patrick Mahomes and Brittany Mahomes. 
Swift sat next to Brittany at their table. 
For Swift and Kelce, it’s surely been a whirlwind week since their highly publicized New York City wedding. 
While some details have emerged here and there about the proceedings, including Kelce’s brother  and best man  Jason finally providing some insight , fans of the couple have not seen photos from inside Madison Square Garden or what the duo wore when saying “I do” in front of officiant Adam Sandler. 
Taylor Swift seated next to Brittany Mahomes. 
BACKGRID 
Smith-Schuster’s wedding instead provided the first look that some have been waiting for, and the couple seemed to be all smiles while watching Kelce’s ex-Chiefs teammate get hitched. 
The receiver played with Kelce for three seasons in Kansas City, spending the 2022 campaign with the Chiefs and winning the Super Bowl before later returning for the past two years. 
Laura Kruk (second from left) next to new husband JuJu Smith-Schuster (second from right). 
BACKGRID 
The 29-year-old signed with the Giants in the offseason to bolster their injury-riddled receiving room, and this upcoming season will mark his 10th in the NFL. 
Smith-Schuster’s new wife previously made headlines at Kelce and Swift’s wedding when she wore the same Sau Lee gown Swift’s best friend Abigail Anderson donned for the big occasion. 
Travis Kelce and Taylor Swift at JuJu Smith-Schuster's wedding Friday. 
BACKGRID 
Article reasoning-pattern comparisonThis article: 7.6%Matt Ehalt: 1.9%California Post: 4.1%Confirmation Bias7.6%This article: 9.8%Matt Ehalt: 2.4%California Post: 1.4%Anchoring Bias9.8%This article: 14.4%Matt Ehalt: 7.2%California Post: 4.2%Availability Heuristic14.4%This article: 7.9%Matt Ehalt: 2.0%California Post: 1.1%Representativeness Heuristic7.9%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.8%Hindsight Bias0.0%This article: 0.0%Matt Ehalt: 1.2%California Post: 2.2%Overconfidence Bias0.0%This article: 2.4%Matt Ehalt: 13.5%California Post: 10.3%Framing Effect2.4%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.9%Loss Aversion0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.6%Status Quo Bias0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Sunk Cost Effect0.0%This article: 17.4%Matt Ehalt: 4.3%California Post: 2.5%Optimism Bias17.4%This article: 4.9%Matt Ehalt: 1.2%California Post: 1.5%Pessimism Bias4.9%This article: 4.9%Matt Ehalt: 1.2%California Post: 16.0%Negativity Bias4.9%This article: 0.0%Matt Ehalt: 0.0%California Post: 2.4%Self-Serving Bias0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Actor-Observer Bias0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.6%In-Group Bias0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.1%Out-Group Homogeneity Bias0.0%This article: 15.8%Matt Ehalt: 5.8%California Post: 3.1%Halo Effect15.8%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.6%Horn Effect0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.0%Dunning-Kruger Effect0.0%This article: 7.6%Matt Ehalt: 3.9%California Post: 1.6%Recency Bias7.6%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.5%Primacy Effect0.0%This article: 14.4%Matt Ehalt: 3.6%California Post: 0.0%Blind-Spot Bias14.4%This article: 0.0%Matt Ehalt: 0.0%California Post: 2.6%Ad Hominem0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.5%Straw Man0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 4.2%Appeal to Authority0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.5%False Dilemma0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.9%Slippery Slope0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Circular Reasoning0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 5.5%Hasty Generalization0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.7%Red Herring0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.4%Bandwagon0.0%This article: 7.3%Matt Ehalt: 1.8%California Post: 8.9%Appeal to Emotion7.3%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.1%Begging the Question0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 2.7%Post Hoc (False Cause)0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Tu Quoque0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.8%Burden of Proof0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Appeal to Nature0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Composition/Division0.0%This article: 7.6%Matt Ehalt: 1.9%California Post: 3.6%Anecdotal7.6%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.0%No True Scotsman0.0%This article: 9.8%Matt Ehalt: 2.4%California Post: 2.0%Ambiguity (Equivocation)9.8%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.1%Middle Ground0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.1%Personal Incredulity0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.2%Special Pleading0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.4%Genetic Fallacy0.0%This article: 14.4%Matt Ehalt: 3.6%California Post: 3.2%Unattributed Quote14.4%This article: 0.0%Matt Ehalt: 0.0%California Post: 2.1%Quote-first Misdirection0.0%This article: 0.0%Matt Ehalt: 10.1%California Post: 13.1%Biased Writer Voice0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 1.4%Indoctrination0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Matt Ehalt: 0.0%California Post: 3.0%Politically Right Leaning Bias0.0%This article: 4.3%Matt Ehalt: 3.1%California Post: 6.0%Attempt to Sell a Product or S…4.3%

368 words analyzed.

Speakers

5speakers11%attributed speech326writer words
Voice mapSelect a segment to jump to its words
Travis Kelce • 2 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageThe New York Post • 7 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageBACKGRID • 1 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageTaylor Swift • 8 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 53 words • 100.0% coverageTaylor Swift • 7 words • 0.0% coverageBACKGRID • 1 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageLaura Kruk • 14 words • 0.0% coverageBACKGRID • 1 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageBACKGRID • 1 words • 0.0% coverage
Selected voice

The New York Post

100%flagged-word coverage
7 attributed words17% of attributed speech84% writer coverage
0%50.0%100.0%Attempt to Sell a Product +97.2 ptsWriter: 2.8%The New York Post: 100.0%100.0%Unattributed Quote-16.3 ptsWriter: 16.3%The New York Post: 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.