Why does simple music often feel more profound than complex, intricate compositions?

From Thin Air: Minimalist and process music from Africa to Arvo Pärt - Milton Mermikides · 52:29 · Video: Gresham College · Watch at the source

In short: We often assume that musical complexity equals aesthetic depth. Yet, minimalist works—from Ewe drumming to Arvo Pärt—defy this, creating transcendent experiences from sparse, repetitive materials. By applying information theory to sound, we can finally measure why these simple structures punch far above their weight, revealing the elegant mechanics of minimalism.

The paradox of minimalism lies in its ability to outgrow its own limitations. While Romantic music relies on intricate complexity to generate emotional impact, minimalist works achieve a magical, emergent quality through extreme economy. To understand this, we must distinguish between duration and informational density. For instance, Erik Satie’s Vexations consists of a 13-beat melody repeated 840 times. While it lasts roughly 18 hours, its high level of repetition makes it objectively simpler than a 20-second miniature by Anton Webern, which contains a dizzying, non-repeating array of gestures across pitch, rhythm, and timbre.

This intuition can be quantified using Claude Shannon’s information theory, developed in his seminal 1948 paper, A Mathematical Theory of Communication. Shannon, a researcher at Bell Labs who worked on cryptography during World War II, introduced the concept of the 'bit' and Shannon Entropy (SE). SE measures informational density by calculating unpredictability; the more redundant or predictable a dataset, the lower its entropy. Because Satie’s work relies on a limited symbolic alphabet and frequent repetition, it possesses lower informational weight than Webern’s dense, unpredictable miniatures, regardless of the time elapsed.

However, Shannon’s framework only addresses the surface statistics of music. To fully grasp minimalist power, we must also consider the algorithmic perspective, influenced by the work of Alan Turing, Shannon’s contemporary at Bell Labs. While Shannon’s entropy asks how much a piece can be compressed, an algorithmic approach asks how simple the instructions for creating the music are. By focusing on the 'recipe'—the score itself—we reveal how minimalist composers use simple, elegant processes to generate profound musical effects, proving that the most powerful art often emerges from the most constrained sets of rules.

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