CBC Life48%

Must-see looks from the 2026 Met Gala: Sabrina Carpenter, Connor Storrie and more 2%

By Truc Nguyen0%

5/4/2026, 10:04:35 PM

BS Summary: This article contains 4 faulty reasoning types, including Status Quo Bias, Availability Heuristic, and Negativity Bias, with Halo Effect as the most egregious example at 7% saturation with 61 hits. Analysis detected 141 faulty-reasoning hits from 876 analyzed words, generating a BS Score of 11.6% and a BS Rank of 2% (20,807 of 21,171 articles). This article is better (less manipulative) than 98.30% of the article peer group.

The intersection of art and fashion is being celebrated at the annual Met Gala, a fundraiser for the Metropolitan Museum of Art's Costume Institute, takes place on the first Monday in May  ahead of the opening of the institute's marquee spring exhibition. 
This year's exhibit, Costume Art, explores the relationship between bodies and clothing, and highlights connections between garments and objects across the museum's collection. 
The dress code, "Fashion is Art," reflects that theme and sets the tone for the evening's red carpet. 
Beyond raising tens of millions of dollars for the New York City museum, the star-studded Met Gala has also become a must-see convergence of fashion insiders, A-list celebrities and the ultra-wealthy. 
The announcement that Amazon founder Jeff Bezos and his wife, Lauren Sánchez Bezos, would serve as honorary chairs and key sponsors of this year's Met Gala has prompted backlash and calls for a boycott from some groups. 
Disdain for the new partnership with the billionaire couple builds on broader criticism of the Met Gala’s focus on wealth and exclusivity. 
New York Mayor Zohran Mamdani, a longtime critic of those dynamics, said he’ll skip the event to focus on affordability in the city. 
But plenty of stars are still expected to attend. 
In addition to Vogue global editorial director Anna Wintour, this year's co-chairs include Beyoncé, Nicole Kidman and Venus Williams. 
Members of the host committee  including Sabrina Carpenter, Zoë Kravitz, Doja Cat and Teyana Taylor  are also expected, alongside a wide range of celebrities from fashion, film, television, music and sports. 
Here are the best looks from the 2026 Met Gala red carpet, so far. 
We'll be updating this story throughout the evening, so check back for more. 
Beyoncé 
A co-chair of the event, Beyoncé walked the red carpet with her daughter, Blue Ivy Carter, and husband, Jay-Z, in a heavily embellished skeleton gown by French designer Olivier Rousteing, paired with a sweeping, ombré blue feathered train. 
Sabrina Carpenter 
Singer Sabrina Carpenter wore a custom black halter dress by Dior designer Jonathan Anderson, crafted in part with film strips from Audrey Hepburn’s 1954 film Sabrina and accessorized with a glamorous jewelled headpiece. 
Connor Storrie 
The Heated Rivalry star wore a polka-dot top and tailored trousers by Saint Laurent, accessorized with earrings and a gold Omega watch. 
Serena Williams 
Athlete Serena Williams shone in a draped, asymmetric silver mini dress and gold sandals by Marc Jacobs with David Yurman jewelry. 
Emma Chamberlain 
Podcaster, online influencer and creator Emma Chamberlain, who's serving as a Vogue red carpet correspondent again this year, wore a custom, multicoloured, hand-painted Mugler gown with fringed sleeves. 
Ashley Graham 
Model Ashley Graham was sewn into her nude-coloured mesh gown by designer Dimitra Petsa of Di Petsa. 
The serpent-skin-inspired dress created a second-skin effect, with draped detailing that mimicked scales. 
She paired the look with metallic nails and silver-dipped fingertips. 
Nicole Kidman 
A co-chair of the event, Kidman walked the red carpet with her daughter, Sunday Rose Kidman-Urban. 
She wore red, sequined Chanel gown with feathered trim at the waist and sleeves. 
Lisa 
Actress and Blackpink member Lisa made a dramatic entrance in a veiled white ensemble by Robert Wun. 
The surreal custom look was reportedly inspired by traditional Thai dance positions as well as the designer’s fall 2025 couture collection. 
Tschabalala Self 
Artist and host committee member Tschabalala Self wore a structured, grey-and-silver bubble-hem dress, styled with matching pumps and a sculptural clutch. 
Katy Perry 
Singer Katy Perry, who attended without her beau, former prime minister Justin Trudeau, wore a cream strapless gown with matching gloves and a sculptural silver face mask, which she lifted on the red carpet to reveal her face. 
Naomi Osaka 
Tennis player Naomi Osaka wore a dramatic, red-and-black feathered look by London-based designer Robert Wun, complete with co-ordinating sheer mesh gloves and a hat by milliner Awon Golding. 
A similar look is on display as part of the Costume Art exhibition. 
Rosé 
The singer and Blackpink member Rose wore a black strapless Saint Laurent gown featuring an oversized, embellished bird motif, paired with a Tiffany & Co. diamond necklace. 
Janelle Monáe 
Singer Janelle Monáe, who never hesitates to go all out on the red carpet, wore a surreal Christian Siriano gown constructed with electrical wires, cables, live moss, succulents and animatronic butterflies. 
Patrick Schwarzenegger 
Actor Patrick Schwarzenegger wore a handsome black corseted look topped with a boxy cropped leather jacket, accessorized with gloves and a cane. 
Ephraim Sykes 
There were many standout all-white ensembles on the carpet, including actor and singer Ephraim Sykes, who wore an angelic caped suiting look that leaned into the night’s sculptural, art-inspired theme. 
Yseult 
The singer and model Yseult wore a custom black and gold demi-couture gown by British-American designer Harris Reed, which took 400 hours to bead and is described by the designer as a “an homage to the body.” 
Sarah Paulson 
Actress Sarah Paulson made a bold statement in a custom grey gown by Paris-based, Canadian-designed label Matières Fécales. 
The mask over her eyes? 
A U.S. dollar bill. 
Tate McRae 
Canadian singer Tate McRae wore a golden off-the-shoulder gown by Ludovic de Saint Sernin, featuring feathered embellishments and a ruffled mermaid hem. 
Article reasoning-pattern comparisonThis article: 0.0%Truc Nguyen: 0.0%CBC: 2.6%Confirmation Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.7%Anchoring Bias0.0%This article: 3.1%Truc Nguyen: 1.7%CBC: 3.1%Availability Heuristic3.1%This article: 0.0%Truc Nguyen: 0.0%CBC: 1.1%Representativeness Heuristic0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.9%Hindsight Bias0.0%This article: 0.0%Truc Nguyen: 0.3%CBC: 1.4%Overconfidence Bias0.0%This article: 0.0%Truc Nguyen: 6.6%CBC: 4.2%Framing Effect0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.6%Loss Aversion0.0%This article: 3.5%Truc Nguyen: 2.4%CBC: 0.6%Status Quo Bias3.5%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.2%Sunk Cost Effect0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 4.0%Optimism Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 1.4%Pessimism Bias0.0%This article: 2.5%Truc Nguyen: 2.1%CBC: 5.6%Negativity Bias2.5%This article: 0.0%Truc Nguyen: 0.0%CBC: 1.2%Self-Serving Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.2%Actor-Observer Bias0.0%This article: 0.0%Truc Nguyen: 2.7%CBC: 1.2%In-Group Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.3%Out-Group Homogeneity Bias0.0%This article: 7.0%Truc Nguyen: 14.0%CBC: 3.7%Halo Effect7.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%Horn Effect0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 1.2%Recency Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.4%Primacy Effect0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.0%Blind-Spot Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.4%Ad Hominem0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.2%Straw Man0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 3.7%Appeal to Authority0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 1.3%False Dilemma0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.4%Slippery Slope0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.2%Circular Reasoning0.0%This article: 0.0%Truc Nguyen: 1.8%CBC: 4.9%Hasty Generalization0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.2%Red Herring0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.6%Bandwagon0.0%This article: 0.0%Truc Nguyen: 2.4%CBC: 4.3%Appeal to Emotion0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.6%Begging the Question0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 2.5%Post Hoc (False Cause)0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.0%Tu Quoque0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.3%Burden of Proof0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.3%Appeal to Nature0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.3%Composition/Division0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 3.3%Anecdotal0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%No True Scotsman0.0%This article: 0.0%Truc Nguyen: 1.1%CBC: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%Middle Ground0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%Personal Incredulity0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%Special Pleading0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%Genetic Fallacy0.0%This article: 0.0%Truc Nguyen: 0.5%CBC: 1.1%Unattributed Quote0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.8%Quote-first Misdirection0.0%This article: 0.0%Truc Nguyen: 7.7%CBC: 4.8%Biased Writer Voice0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 2.4%Indoctrination0.0%This article: 0.0%Truc Nguyen: 0.5%CBC: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Truc Nguyen: 0.0%CBC: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Truc Nguyen: 0.2%CBC: 1.7%Attempt to Sell a Product or S…0.0%

876 words analyzed.

Speakers

1speaker2.6%attributed speech853writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageZohran Mamdani • 23 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverage
Selected voice

Zohran Mamdani

0%flagged-word coverage
23 attributed words100% of attributed speech17% 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.