# Every Noise at Once

> algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed by Spotify

**Wikidata**: [Q108538124](https://www.wikidata.org/wiki/Q108538124)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Every_Noise_at_Once)  
**Source**: https://4ort.xyz/entity/every-noise-at-once

## Summary
Every Noise at Once is an interactive, algorithmically-generated scatter-plot that visualizes the landscape of musical genres using data analyzed by Spotify. Created by Glenn McDonald, it maps genres into a two-dimensional space, allowing users to explore and listen to examples of different musical styles. The project is accessible via its website, everynoise.com, and serves as a dynamic tool for understanding musical diversity.

## Key Facts
- **Creator/Owner**: Developed and owned by Glenn McDonald.
- **Launch Year**: Active by 2013, with its Twitter account (@everynoise) created on May 9, 2013.
- **Data Source**: Built using data tracked and analyzed by Spotify.
- **Website**: Hosted at [https://everynoise.com](https://everynoise.com), with a primary focus on the "genre map" at [https://everynoise.com/engenremap.html](https://everynoise.com/engenremap.html).
- **Functionality**: Combines elements of a music database, scatter plot, and visualization software.
- **Language**: Website content primarily in English.
- **Recognition**: Documented in Wikipedia (English and French) and discussed on platforms like Hacker News and AudioSEX Professional Audio Forum.

## FAQs
### Q: Who created Every Noise at Once?
A: It was developed by Glenn McDonald, who also owns the project.

### Q: What data does Every Noise at Once use?
A: The visualization is based on data tracked and analyzed by Spotify, reflecting its vast music catalog.

### Q: When was Every Noise at Once launched?
A: The project was active by 2013, with its Twitter account launching on May 9, 2013.

## Why It Matters
Every Noise at Once is significant for its innovative approach to mapping the complex and ever-evolving world of music genres. By algorithmically analyzing Spotify data, it provides a unique visual and interactive tool for music enthusiasts, researchers, and artists to explore how genres relate to one another. The project addresses the challenge of navigating musical diversity in the digital age, offering a dynamic lens to discover obscure styles and understand broader trends. Its integration of data visualization with audio samples democratizes access to musical exploration, making it a valuable resource for both casual listeners and industry professionals.

## Notable For
- **Algorithmic Genre Mapping**: Uses proprietary algorithms to organize genres into a readable scatter-plot.
- **Interactive Design**: Allows users to click on genre labels and listen to representative tracks.
- **Comprehensive Scope**: Attempts to catalog "every" identifiable music genre, from mainstream categories to niche styles.
- **Cultural Recognition**: Featured in discussions on platforms like Hacker News and academic blogs, highlighting its educational and novelty value.

## Body
### Development and Launch
Every Noise at Once was conceived by Glenn McDonald, a data scientist and music enthusiast. While the exact launch date is not specified, the project gained visibility by 2013, coinciding with the creation of its Twitter account (@everynoise) on May 9, 2013. The website domain (everynoise.com) has been active since 1990, though the genre-map tool emerged later as a distinct initiative.

### Technical Details
- **Data Source**: Relies on Spotify’s music catalog and metadata for genre classification.
- **Visualization**: Employs a two-dimensional scatter-plot to position genres based on algorithmic analysis, with adjustments for readability.
- **Interactivity**: Users can hover over genre labels to preview tracks, with links to Spotify for full playback.

### Features
- **Genre Coverage**: Includes thousands of genres, from well-known categories like "pop" and "jazz" to hyper-specific styles such as "vaporwave" or "skweee."
- **Dynamic Updates**: The map evolves as Spotify’s dataset grows, reflecting changes in musical trends and user behavior.
- **Multilingual Content**: While the website is primarily in English, the project has garnered international attention, with Wikipedia entries in English and French.

### Recognition and Impact
The tool has been highlighted in media and academic discussions, such as a 2013 blog post on *Quomodocumque* and threads on Hacker News. Its ability to balance technical complexity with user-friendly design has made it a benchmark for music visualization projects, underscoring the value of data-driven approaches to cultural exploration.

## References

1. [Every Noise at Once | Hacker News](https://news.ycombinator.com/item?id=20585447)
2. ["Every Noise at Once" site attempts to map every music genre that exists | AudioSEX - Professional Audio Forum](https://audiosex.pro/threads/every-noise-at-once-site-attempts-to-map-every-music-genre-that-exists.54614/)
3. [Every Noise At Once | Quomodocumque](https://quomodocumque.wordpress.com/2013/04/30/every-noise-at-once/)
4. [Source](https://everynoise.com/engenremap.html#otherthings)