Morgan Garrett and Gloorp are Philadelphia's most inspired musical weirdos 69%

By Joshua Minsoo Kim80%

7/24/2026, 8:10:00 AM

BS Summary: This article contains 18 faulty reasoning types, including Negativity Bias, Availability Heuristic, and Appeal to Emotion, with Biased Writer Voice as the most egregious example at 85.4% saturation with 311 hits. Analysis detected 1,000 faulty-reasoning hits from 364 analyzed words, generating a BS Score of 56.3% and a BS Rank of 69% (7,989 of 25,254 articles). This article is worse (more manipulative) than 68.40% of the article peer group.

Morgan Garrett and Gloorp (aka Garrett Burke) are Philadelphia musicians who sound so different from each other it’s strange to see them on the same bill. 
But while Garrett is an experimental singer-songwriter and Gloorp is a dance-music producer and percussionist (he’s drummed in Mothers and Of Montreal), they’ve found common ground in collaboration. 
On “Gangggsta,” from Gloorp’s 2025 EP <em>Gloorp ’Em Up</em> (Jolt), Gloorp’s sparse, booming beat meets Garrett’s litany of deranged voices, which are varied and cartoonish enough to belong to a supercut of horror-movie villains. 
Garrett’s output has been defined by the uncanny, unsettling, and ugly. 
On 2020’s self-released <em>I Saw Demons</em>, he crafts misfit songs from ruptured electronics and weeping guitar lines. 
“I’d Pray to God” imagines sound collage at its most charmingly theatrical and impossibly sad. 
He continued to hone his sound on 2023’s <em>Extreme Fantasy</em> and 2024’s <em>Purity</em> (both on Orange Milk), merging downer folk, industrial soundscapes, haunted atmospherics, and campy vocals possessed by the spirit of grindhouse schlock ’n’ gore into moving reveries of poverty and dejection. 
“Sick and Sad” begins like a haunted lullaby before maneuvering between anxious groans and screamed vocals; the eruption of noise that follows conjures pain and sorrow from intense sonic abrasion. 
Gloorp’s dance-floor mind melters are equally stirring. 
On his new album, <em>Gloorp Life</em> (Jolt), he invites listeners to revel in the evolution of his sound-design–forward IDM. 
You can hear his playfulness in track titles such as “Swag,” “Jeggings,” and “Hookah"; the blipping notes of the latter rush back and forth with a delightful mania. 
A lot of the music owes a debt to Sophie in the way it can sound metallic and also like gelatinous confectionery, but several moments are harder to pin down. 
The title track’s glitching beats are constantly on the precipice of falling apart; “Bali Mode” veers close to footwork; and “Ice Bath” contains traces of UK garage. 
In addition to their show at Elastic Arts on August 5, Gloorp and Garrett will play a DJ set at Sportsman’s Club on August 6. 
Given the range of their respective output, it’s anyone’s guess what they might play. 
Confirmation Bias
3%
Anchoring Bias
0%
Availability Heuristic
24.5%
Representativeness Heuristic
7.1%
Hindsight Bias
0%
Overconfidence Bias
15.7%
Framing Effect
5.2%
Loss Aversion
0%
Status Quo Bias
3.8%
Sunk Cost Effect
0%
Optimism Bias
5.2%
Pessimism Bias
4.1%
Negativity Bias
34.9%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
2.7%
Out-Group Homogeneity Bias
0%
Halo Effect
14%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
3.8%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
10.4%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
17.6%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
11.8%
Anecdotal
7.7%
No True Scotsman
0%
Ambiguity (Equivocation)
17.6%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
85.4%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

364 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.