Gothamist77%

A mobile glitter bar, rainbow cowgirl and Bowen Yang: What we saw at the NYC Pride March 3%

By Jill Webb0%

6/28/2026, 11:56:00 AM

BS Summary: This article contains 10 faulty reasoning types, including Appeal to Authority, Negativity Bias, and Slippery Slope, with Appeal to Emotion as the most egregious example at 10% saturation with 65 hits. Analysis detected 314 faulty-reasoning hits from 649 analyzed words, generating a BS Score of 14.7% and a BS Rank of 3% (21,324 of 21,887 articles). This article is better (less manipulative) than 97.40% of the article peer group.

New York City's Pride March is as much about style as it is about making a statement. 
This year’s festivities drew thousands of marchers along a route that stretched from 26th Street and 5th Avenue, through Greenwich Village and past the legendary Stonewall Inn. 
Outfits included a neon rainbow cowgirl and a Victorian-era "warrior commander" in a frilly hat and stockings. 
One reveler offered a walking glitter bar. 
Here are the best fits Gothamist saw at the march: 
Michelle Escalara went with a spring vibe. 
Comedian and former Saturday Night Live cast member Bowen Yang served as one of several grand marshals. 
He told Gothamist it was an honor to help lead the march. 
 It's really profound, especially at a time when we have to be as public as we can about our solidarity within the queer community. 
I think this is sort of the best convocation of that,” Yang said. 
Bowen Yang at the NYC Pride March. 
Yang wore a simple white T-shirt with black pants, suspenders and a rainbow sash. 
He said the writing on his shirt is slang for “queer” in Chinese. 
Barry Brown went with a rather different look. 
Barry Brown in full rainbow attire. 
 I am in a foam rainbow wig of just all kinds of weird tentacles ... and a beautiful rainbow skirt," Brown said. 
 I come from a very small town in Indiana, so having this exposure was new to me when I moved here and it is one of the best things in my life.” 
The heat was a factor. 
Temperatures reached the mid-80s with a fair amount of humidity. 
"I wore this foam wig 'cause it's absorbing all the sweat," Brown said. 
Jamie Unger (far right) for the neon cowgirl look. 
Jamie Unger, better known among friends as “Bunny,” took a different approach to the rainbow, with a bell sleeve crop top, bell bottoms and a hat to top off the neon cowgirl look. 
”And then I have a sheer skirt that's showing my rainbow bikini underneath and I also have rhinestone pasties too. 
And then I have my hat that I made that has rhinestone tassels,” she said. 
Frankie Mercedes said her glitter bar outfit was inspired by an Instagram post. 
And then there was Frankie Mercedes with a walking glitter bar. 
She said she was there to "share some glitter joy." 
“I just wanted to celebrate Pride and give people some love and joy and sparkles,” Mercedes said. 
Aurora Dekovitch donned a pink dress with pins, medals and ribbons for a “warrior” mood and said it was good to be with other queer, like-minded people. 
Aurora Dekovitch was decked out with medals and pins for a "warrior commander" look. 
 Pride, honestly, especially in this climate, like, this day and age, is super important because, of course, all of the legislation and everything that's against us that's even spreading throughout the whole world. 
So we really need community right now,” Dekovitch said. 
Song Mo said he wore a traditional Chinese outfit with one key accessory  a 30-foot dragon flag. 
Evan Laurence attended with other members of the Imperial Court of New York, a charitable group with a royal “twist,” according to its website. 
 I'm a viscount and my court name is Evan Renaissance,” he said. 
 I'm wearing a purple metallic outfit that I made myself. 
I have a beautiful sort of Pierrot collar of different metallic materials winding around my neck, different colors and a pointed purple sequin hat with a metallic holographic fringe hanging off it.” 
Evan Laurence in an outfit he made. 
Shauna McCualey: " My outfit is asexual flag themed. 
I'm wearing a purple bandana, a white kind of corset top, black skirt and fishnets with these purple floral print Doc Martens." 
Article reasoning-pattern comparisonThis article: 0.0%Jill Webb: 0.2%Gothamist: 2.7%Confirmation Bias0.0%This article: 0.0%Jill Webb: 0.3%Gothamist: 1.5%Anchoring Bias0.0%This article: 2.0%Jill Webb: 3.4%Gothamist: 3.6%Availability Heuristic2.0%This article: 0.0%Jill Webb: 1.1%Gothamist: 1.1%Representativeness Heuristic0.0%This article: 0.0%Jill Webb: 0.3%Gothamist: 0.7%Hindsight Bias0.0%This article: 0.0%Jill Webb: 0.4%Gothamist: 1.2%Overconfidence Bias0.0%This article: 0.0%Jill Webb: 3.9%Gothamist: 8.4%Framing Effect0.0%This article: 0.0%Jill Webb: 0.4%Gothamist: 1.2%Loss Aversion0.0%This article: 0.0%Jill Webb: 0.7%Gothamist: 1.1%Status Quo Bias0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.2%Sunk Cost Effect0.0%This article: 5.1%Jill Webb: 1.4%Gothamist: 3.6%Optimism Bias5.1%This article: 1.4%Jill Webb: 2.0%Gothamist: 1.7%Pessimism Bias1.4%This article: 5.2%Jill Webb: 5.4%Gothamist: 8.5%Negativity Bias5.2%This article: 0.0%Jill Webb: 1.2%Gothamist: 2.6%Self-Serving Bias0.0%This article: 0.0%Jill Webb: 0.8%Gothamist: 1.0%Fundamental Attribution Error0.0%This article: 0.0%Jill Webb: 1.0%Gothamist: 0.3%Actor-Observer Bias0.0%This article: 4.2%Jill Webb: 1.6%Gothamist: 2.1%In-Group Bias4.2%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.6%Out-Group Homogeneity Bias0.0%This article: 0.0%Jill Webb: 0.5%Gothamist: 2.1%Halo Effect0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.2%Horn Effect0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jill Webb: 0.1%Gothamist: 1.3%Recency Bias0.0%This article: 0.0%Jill Webb: 0.1%Gothamist: 0.4%Primacy Effect0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jill Webb: 0.6%Gothamist: 1.0%Ad Hominem0.0%This article: 0.0%Jill Webb: 0.3%Gothamist: 0.2%Straw Man0.0%This article: 6.3%Jill Webb: 2.2%Gothamist: 4.4%Appeal to Authority6.3%This article: 0.0%Jill Webb: 0.4%Gothamist: 1.2%False Dilemma0.0%This article: 5.2%Jill Webb: 0.3%Gothamist: 0.8%Slippery Slope5.2%This article: 0.0%Jill Webb: 0.1%Gothamist: 0.1%Circular Reasoning0.0%This article: 0.0%Jill Webb: 3.0%Gothamist: 3.8%Hasty Generalization0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.3%Red Herring0.0%This article: 0.0%Jill Webb: 0.5%Gothamist: 0.8%Bandwagon0.0%This article: 10.0%Jill Webb: 5.5%Gothamist: 6.4%Appeal to Emotion10.0%This article: 0.0%Jill Webb: 0.5%Gothamist: 0.7%Begging the Question0.0%This article: 0.0%Jill Webb: 0.9%Gothamist: 2.4%Post Hoc (False Cause)0.0%This article: 0.0%Jill Webb: 0.4%Gothamist: 0.1%Tu Quoque0.0%This article: 0.0%Jill Webb: 0.2%Gothamist: 0.4%Burden of Proof0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.1%Appeal to Nature0.0%This article: 0.0%Jill Webb: 0.1%Gothamist: 0.2%Composition/Division0.0%This article: 5.1%Jill Webb: 3.2%Gothamist: 2.8%Anecdotal5.1%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.1%No True Scotsman0.0%This article: 0.0%Jill Webb: 0.2%Gothamist: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.1%Middle Ground0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.1%Personal Incredulity0.0%This article: 0.0%Jill Webb: 0.3%Gothamist: 0.2%Special Pleading0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 0.2%Genetic Fallacy0.0%This article: 3.9%Jill Webb: 0.4%Gothamist: 1.2%Unattributed Quote3.9%This article: 0.0%Jill Webb: 0.4%Gothamist: 1.0%Quote-first Misdirection0.0%This article: 0.0%Jill Webb: 0.1%Gothamist: 3.2%Biased Writer Voice0.0%This article: 0.0%Jill Webb: 1.4%Gothamist: 1.5%Indoctrination0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 1.0%Politically Left Leaning Bias0.0%This article: 0.0%Jill Webb: 0.3%Gothamist: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Jill Webb: 0.0%Gothamist: 1.0%Attempt to Sell a Product or S…0.0%

649 words analyzed.

Speakers

9speakers68%attributed speech205writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 17 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageMichelle Escalara • 7 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageBowen Yang • 12 words • 0.0% coverageBowen Yang • 25 words • 100.0% coverageBowen Yang • 13 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageBowen Yang • 14 words • 0.0% coverageBowen Yang • 13 words • 0.0% coverageBarry Brown • 8 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageBarry Brown • 23 words • 0.0% coverageBarry Brown • 33 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageBarry Brown • 13 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageJamie Unger • 33 words • 0.0% coverageJamie Unger • 20 words • 0.0% coverageJamie Unger • 15 words • 0.0% coverageFrankie Mercedes • 13 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageFrankie Mercedes • 10 words • 0.0% coverageFrankie Mercedes • 17 words • 0.0% coverageAurora Dekovitch • 27 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageAurora Dekovitch • 34 words • 0.0% coverageAurora Dekovitch • 9 words • 0.0% coverageSong Mo • 18 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageEvan Laurence • 13 words • 0.0% coverageEvan Laurence • 11 words • 0.0% coverageEvan Laurence • 32 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageShauna McCualey • 9 words • 0.0% coverageShauna McCualey • 22 words • 0.0% coverage
Selected voice

Aurora Dekovitch

100%flagged-word coverage
70 attributed words16% of attributed speech20% 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.