For its first L.A. women's show, Hermès touches down in Bel-Air  Birkin bags everywhere 28%

By Elisa Wouk Almino0%

6/5/2026, 4:06:49 PM

BS Summary: This article contains 34 faulty reasoning types, including Appeal to Emotion, Halo Effect, and Appeal to Authority, with Biased Writer Voice as the most egregious example at 24.8% saturation with 201 hits. Analysis detected 1,611 faulty-reasoning hits from 811 analyzed words, generating a BS Score of 39% and a BS Rank of 28% (15,777 of 21,887 articles). This article is better (less manipulative) than 72.10% of the article peer group.

How do you reserve your seat at an Hermès show? 
A Birkin bag, apparently. 
Even before pulling up to the Second Chapter of the Hermès women's ready-to-wear fall-winter show in Bel-Air  the house's first women's show in Los Angeles  photographer Tyler Matthew Oyer was texting me photos of women at check-in clutching their Birkins in one hand, phone and ID in the other. 
“They are everywhere.” 
I took a photo of my yellow raffia bag, the handle tied with an Hermès horse scarf that once belonged to my maternal grandmother. 
Getting to the destination was like ascending to a parallel universe of the Getty, in similar excursion-like fashion  only instead of cable cars, we gathered into black vans with tinted windows that climbed the mountains opposite the museum. 
After a solid 20 minutes of winding roads, we reached the grand reveal: a butter-yellow pavilion, delectable and whimsical like a giant cake on stilts, plastered with all-caps neon signage, SILHOUETTES ON THE HORIZON. 
The structure, designed by Maybe Paris with Hermès creative director Nadège Vanhee, was built from scratch and took three weeks to build. 
“I smell leather. 
Do you smell leather?” 
Keyla Marquez, our fashion director at large, asked, turning to me from inside the buttery dome, glass of Champagne in hand. 
Hermès leather goods were on display, including on Keyla, who wore a vintage black skirt with zippers running up the front and back and a suede top. 
The show started unusually on time, just moments past 7:30 p.m., at peak twilight. 
But from where we sat, it was as if we were inside a sun going up at night, the suspended bands of light brightening and intensifying our yellow abode. 
The runway looped like Bel-Air's roads, the models walking in S’s and the clothes following suit, dresses, ’80s flared pants and silks expanding and trailing behind them in a way that brought to mind Audrey Hepburn in “Funny Face,” snaking down the steps of the Louvre in Givenchy (“Take the picture! 
Take the picture!”). 
The show notes pointed to “the dancer’s wardrobe” as inspiration, embracing how fabric can have a mind of its own  gathering, draping, cascading. 
“Don’t smooth out the wrinkles,” a voice over the music said. 
Each wrinkle is “a powerful current.” 
A double entendre for embracing age? 
I liked to think so, especially when the soundtrack to the finale came on, Kim Carnes’ “Bette Davis Eyes,” a tribute to the Old Hollywood actor and her timeless, teasing gaze. 
I caught up with Keyla Marquez after the show for her take on the evening. 
<b>The first guest who caught your eye and why. </b> 
Brenda Hashtag. 
I’m a fan. 
I feel like she’s of a new generation of influencers and has a lot to say. 
She’s really vulnerable with the things she says about being in the fashion world. 
She did an interview with the Cutting Room Floor about fashion shows and how people don’t say hi each other, and there’s nothing wrong with saying hi to each other. 
She’s part of a new generation that has more vulnerability. 
For me, it’s not so much celebrities but these people who are changing the landscape of the fashion industry and she’s one of them. 
Even though she said she doesn’t like L.A. [laughs]. 
<b>Three words that describe the night for you.</b> 
Magical, opulent and VIC’s. 
<b>Did you have a favorite look? 
</b> 
Yes. 
The body piece with the flared pant legs. 
I feel like all these designers who grew up in the ’80s are bringing back the ’80s in a really chic way. 
YSL did this collection a couple seasons ago with socks with fringe on them. 
That outfit was very reminiscent of that. 
There’s this new play on the ’80s but not in a cheesy way. 
It’s very chic and luxurious. 
<b>Monochrome ruled the runway. 
Are you team red (“rouge tango”), blue-green (“vert impérial”), yellow (“jaune flave”) or black? 
</b> 
Black and yellow. 
I would’ve been OK with the blue not being included. 
I see the ’80s inspiration but I would’ve been OK with blue not being a part of the color palette. 
<b>The best thing you ate after the show. </b> 
Those egg thingies with roe were so good. 
What was in it even?! 
The truffle toast was bomb. 
And of course, Champagne. 
<b>Your take on the Birkin bag. </b> 
The more worn out, the better. 
<b>The thing you tell the L.A. haters who flew in for just a few days for the show. </b> 
Get to know the culture. 
Get to know the real people. 
Go to the east side. 
When the only thing that you see are the influencers and Erewhon, that’s not the real L.A. 
You have to go to where the culture lives. 
Article reasoning-pattern comparisonThis article: 7.6%Elisa Wouk Almino: 4.6%Daily Pilot: 2.9%Confirmation Bias7.6%This article: 3.3%Elisa Wouk Almino: 0.8%Daily Pilot: 1.2%Anchoring Bias3.3%This article: 9.6%Elisa Wouk Almino: 3.0%Daily Pilot: 3.5%Availability Heuristic9.6%This article: 5.9%Elisa Wouk Almino: 2.3%Daily Pilot: 1.0%Representativeness Heuristic5.9%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.9%Hindsight Bias0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 1.9%Overconfidence Bias0.0%This article: 2.5%Elisa Wouk Almino: 2.3%Daily Pilot: 7.5%Framing Effect2.5%This article: 1.2%Elisa Wouk Almino: 0.3%Daily Pilot: 0.9%Loss Aversion1.2%This article: 1.8%Elisa Wouk Almino: 0.6%Daily Pilot: 0.9%Status Quo Bias1.8%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.2%Sunk Cost Effect0.0%This article: 13.8%Elisa Wouk Almino: 3.5%Daily Pilot: 3.6%Optimism Bias13.8%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 1.4%Pessimism Bias0.0%This article: 2.1%Elisa Wouk Almino: 0.5%Daily Pilot: 7.8%Negativity Bias2.1%This article: 0.4%Elisa Wouk Almino: 0.1%Daily Pilot: 2.2%Self-Serving Bias0.4%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.9%Fundamental Attribution Error0.0%This article: 2.6%Elisa Wouk Almino: 0.6%Daily Pilot: 0.2%Actor-Observer Bias2.6%This article: 2.7%Elisa Wouk Almino: 1.8%Daily Pilot: 1.6%In-Group Bias2.7%This article: 0.7%Elisa Wouk Almino: 0.7%Daily Pilot: 0.6%Out-Group Homogeneity Bias0.7%This article: 15.4%Elisa Wouk Almino: 5.4%Daily Pilot: 5.1%Halo Effect15.4%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.2%Horn Effect0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.0%Dunning-Kruger Effect0.0%This article: 1.7%Elisa Wouk Almino: 0.4%Daily Pilot: 1.3%Recency Bias1.7%This article: 10.2%Elisa Wouk Almino: 2.6%Daily Pilot: 0.4%Primacy Effect10.2%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.1%Blind-Spot Bias0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.9%Ad Hominem0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.3%Straw Man0.0%This article: 15.3%Elisa Wouk Almino: 3.8%Daily Pilot: 4.9%Appeal to Authority15.3%This article: 1.7%Elisa Wouk Almino: 0.9%Daily Pilot: 1.2%False Dilemma1.7%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.7%Slippery Slope0.0%This article: 1.1%Elisa Wouk Almino: 0.3%Daily Pilot: 0.1%Circular Reasoning1.1%This article: 11.1%Elisa Wouk Almino: 5.6%Daily Pilot: 4.4%Hasty Generalization11.1%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.3%Red Herring0.0%This article: 3.0%Elisa Wouk Almino: 0.9%Daily Pilot: 1.0%Bandwagon3.0%This article: 17.1%Elisa Wouk Almino: 4.3%Daily Pilot: 5.7%Appeal to Emotion17.1%This article: 0.7%Elisa Wouk Almino: 0.2%Daily Pilot: 0.7%Begging the Question0.7%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 2.6%Post Hoc (False Cause)0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.1%Tu Quoque0.0%This article: 3.0%Elisa Wouk Almino: 0.7%Daily Pilot: 0.4%Burden of Proof3.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.2%Appeal to Nature0.0%This article: 2.6%Elisa Wouk Almino: 0.6%Daily Pilot: 0.3%Composition/Division2.6%This article: 13.4%Elisa Wouk Almino: 3.4%Daily Pilot: 2.8%Anecdotal13.4%This article: 2.8%Elisa Wouk Almino: 1.2%Daily Pilot: 0.1%No True Scotsman2.8%This article: 3.0%Elisa Wouk Almino: 0.7%Daily Pilot: 1.6%Ambiguity (Equivocation)3.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.0%Gambler’s Fallacy0.0%This article: 1.6%Elisa Wouk Almino: 0.4%Daily Pilot: 0.1%Middle Ground1.6%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.1%Personal Incredulity0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.2%Special Pleading0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.3%Genetic Fallacy0.0%This article: 2.5%Elisa Wouk Almino: 1.1%Daily Pilot: 1.3%Unattributed Quote2.5%This article: 4.7%Elisa Wouk Almino: 1.2%Daily Pilot: 0.8%Quote-first Misdirection4.7%This article: 24.8%Elisa Wouk Almino: 10.5%Daily Pilot: 6.0%Biased Writer Voice24.8%This article: 5.2%Elisa Wouk Almino: 2.8%Daily Pilot: 1.5%Indoctrination5.2%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.9%Politically Left Leaning Bias0.0%This article: 0.0%Elisa Wouk Almino: 0.0%Daily Pilot: 0.3%Politically Right Leaning Bias0.0%This article: 3.3%Elisa Wouk Almino: 0.8%Daily Pilot: 4.0%Attempt to Sell a Product or S…3.3%

811 words analyzed.

Speakers

3speakers36%attributed speech518writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 15 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 51 words • 100.0% coveragephotographer Tyler Matthew Oyer • 3 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 39 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 22 words • 0.0% coverageKeyla Marquez • 3 words • 100.0% coverageKeyla Marquez • 4 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 3 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageBrenda Hashtag • 3 words • 0.0% coverageBrenda Hashtag • 16 words • 0.0% coverageBrenda Hashtag • 14 words • 0.0% coverageBrenda Hashtag • 30 words • 0.0% coverageBrenda Hashtag • 10 words • 0.0% coverageBrenda Hashtag • 24 words • 0.0% coverageBrenda Hashtag • 9 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageBrenda Hashtag • 4 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageBrenda Hashtag • 1 words • 0.0% coverageBrenda Hashtag • 8 words • 0.0% coverageBrenda Hashtag • 22 words • 0.0% coverageBrenda Hashtag • 14 words • 0.0% coverageBrenda Hashtag • 7 words • 0.0% coverageBrenda Hashtag • 13 words • 0.0% coverageBrenda Hashtag • 5 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageBrenda Hashtag • 3 words • 0.0% coverageBrenda Hashtag • 10 words • 0.0% coverageBrenda Hashtag • 20 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageBrenda Hashtag • 8 words • 0.0% coverageBrenda Hashtag • 5 words • 0.0% coverageBrenda Hashtag • 5 words • 0.0% coverageBrenda Hashtag • 4 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageBrenda Hashtag • 6 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageBrenda Hashtag • 5 words • 100.0% coverageBrenda Hashtag • 6 words • 100.0% coverageBrenda Hashtag • 5 words • 100.0% coverageBrenda Hashtag • 17 words • 100.0% coverageBrenda Hashtag • 9 words • 100.0% coverage
Selected voice

Brenda Hashtag

94%flagged-word coverage
283 attributed words97% of attributed speech83% writer coverage
0%20.0%40.0%Biased Writer Voice-33.9 ptsWriter: 37.1%Brenda Hashtag: 3.2%3.2%Indoctrination+14.8 ptsWriter: 0.0%Brenda Hashtag: 14.8%14.8%Quote-first Misdirection-7.3 ptsWriter: 7.3%Brenda Hashtag: 0.0%0.0%Attempt to Sell a Product -5.2 ptsWriter: 5.2%Brenda Hashtag: 0.0%0.0%Unattributed Quote-3.3 ptsWriter: 3.3%Brenda Hashtag: 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.