Heaven Knows I'm Miserable Now
New York, NY (PRWEB) July 21, 2008
New figures from Peter Gabriel's entertainment recommendation website TheFilter.com show a dramatic rise in the popularity of depressing music as Americans face uncertain times, due to a recession. Data indicates the number of people selecting gloomy songs and rating those tracks positively has soared in the last month. The entertainment recommendation service, led by rock legend Peter Gabriel, has seen darker bands like The Smiths and Radiohead increasing in popularity over happier, more uplifting types of music.
Filter CEO David Maher-Roberts says "We're seeing more of our users than ever before rating depressing or slightly miserable tracks more highly than happier types of music. It's logical to assume that this is a reflection of what's happening in the economy. The good news is that there are a large number of happier, more uplifting tracks out there that can do wonders for your mood!"
The Ten Most Popular Depressing Songs, as rated by U.S. users of TheFilter.com are:
1. Sia -- "Breathe Me"
2. Coldplay -- "Fix you"
3. The Smiths -- "Heaven Knows I'm Miserable Now"
4. Radiohead -- "How to Disappear Completely"
5. Eminem -- "Stan"
6. Evanescence -- "My Immortal"
7. Annie Lennox -- "Why"
8. Pink Floyd -- "Comfortably Numb"
9. Jeff Buckley -- "Hallelujah"
10. Bruce Springsteen -- "Secret Garden"
The figures have been gathered by measuring how many of The Filter's user base positively rate or have previewed recommended audio tracks.
About The Filter
The Filter is a personalized content filtering system that aggregates entertainment and information and connects users to content that reflects their tastes and moods. The developers behind The Filter are world leading British software company Exabre. They are backed by high profile investors, including Peter Gabriel's Real World Group and Eden Ventures.
The Filter has been downloaded in 164 countries. Its database currently includes over 5m songs, 330k movies and more than 50m individual purchases and playlists.
The Filter works by using Bayesian mathematics. It was developed by Martin Hopkins, a physicist who was struggling to manage his growing digital music collection.