Dangerous (Big Data song)

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"Dangerous"
Single by Big Data featuring Joywave
from the album 1.0 and 2.0
B-side Oliver Remix
Released October 1, 2013 (2013-10-01)
Format
Recorded 2013
Genre
Length 4:40
Label
Writer(s)
  • Daniel Armbruster
  • Alan Wilkis
Producer(s) Alan Wilkis
Big Data singles chronology
"Dangerous"
(2013)		 "The Business of Emotion"
(2014)
Joywave singles chronology
"Traveling at the Speed of Light"
(2011)		 "Dangerous"
(2013)		 "Tongues"
(2014)
Alternate cover
Record Store Day 2015 7" cover

"Dangerous" is a song by American electronic music project Big Data, from their debut EP 1.0 (2013) and their debut studio album 2.0 (2015). It features American indie rock band Joywave, with vocals being performed by the band's lead singer Daniel Armbruster.

Release

In August 2013, Big Data released an interactive video entitled "Facehawk", which, if given permission, connects to the viewer's Facebook profile and turns their timeline into a video.[1] The video starts by displaying the viewer's Facebook home page and making it appear to update its status, then launches into a more abstract visual experience where pictures and status updates assemble to form a hawk.[2] The project was created in collaboration with interactive artist and director Rajeev "Jeeves" Basu.[3] According to the band, the video serves as a visual reminder for the audience about how much information they have shared on their Facebook profile, and how far back that information reaches.[4] Big Data producer Alan Wilkis was an early adopter of Facebook, having created the 4,132nd account on the site while studying at Harvard University.[5]

"Dangerous" was first released as a digital single by Big Data member Alan Wilkis' label Wilcassettes LLC on October 1, 2013.[6] An EP entitled 1.5, consisting of eight remixes of "Dangerous", was released on December 3, 2013.[7] The single was subsequently re-released on June 3, 2014.[8]

Music video

The music video for "Dangerous" was released on February 19, 2014 and directed by Brandon LaGanke and John Carlucci of GHOST+COW, based on a concept developed with Alan Wilkis.[9] It revolves around two shoe designers who develop an athletic shoe that encourages the wearer to commit acts of violence. The two designers first observe a group of shackled inmates wearing the shoes and walking in circles until one wearer bumps into another, resulting in one inmate violently headbutting another, to the point that blood splatters onto the testers. Satisfied with the results, a marketing meeting is held to develop advertising for the shoe.

The rest of the video alternates between the pitching of advertising ideas and the concepts being shown in real time. The advertisement within the video opens with a woman (Lauren Francesca) in a two-piece running outfit jogging down a street, who is later joined by a second woman also jogging and similarly dressed. The camera frequently pans from the shoes to their breasts and faces, and closed captioning reading "sexual breathing". Seeing the chief marketing director's bored reaction, the designers begin to incorporate more graphic ideas into the advertisement, including the joggers headbutting various bystanders to death and engaging in a lesbian kiss, to the approval of the director and his executives, who toast champagne to celebrate their success.

Big Kitty version

On December 31, 2014 private messaging app Wickr sponsored a version of the music video, titled "Big Kitty", promoting its recent Facebook photo development to keep pictures private by using pictures of cats instead.[10]

Charts

Certifications

Region Certification Sales/shipments
Canada (Music Canada)[21] Gold 40,000
United States (RIAA)[22] Gold 500,000

*sales figures based on certification alone
^shipments figures based on certification alone

Release history

Country Date Format Label
United States[6][8][23] October 1, 2013 Digital download Wilcassettes
June 3, 2014 Digital download (re-release)
September 16, 2014 Contemporary hit radio Wilcassettes, Crush Music, Warner Bros.
April 18, 2015 Record Store Day 7"

References

  1. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  2. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  3. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  4. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  5. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  6. ↑ 6.0 6.1 Lua error in package.lua at line 80: module 'strict' not found.
  7. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  8. ↑ 8.0 8.1 Lua error in package.lua at line 80: module 'strict' not found.
  9. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  10. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  11. ↑ 11.0 11.1 Lua error in package.lua at line 80: module 'strict' not found. Cite error: Invalid <ref> tag; name "Awards" defined multiple times with different content
  12. ↑ "Big Data – Chart history" Billboard Canada Rock for Big Data. Retrieved January 30, 2015.
  13. ↑ "Big Data – Chart history" Billboard Bubbling Under Hot 100 for Big Data. Retrieved December 26, 2014.
  14. ↑ "Big Data – Chart history" Billboard Rock Airplay for Big Data. Retrieved February 19, 2015.
  15. ↑ "Big Data – Chart history" Billboard Adult Alternative Songs for Big Data. Retrieved February 19, 2015.
  16. ↑ "Big Data – Chart history" Billboard Adult Pop Songs for Big Data. Retrieved February 19, 2015.
  17. ↑ "Big Data – Chart history" Billboard Alternative Songs for Big Data. Retrieved February 19, 2015.
  18. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  19. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  20. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  21. ↑ Lua error in package.lua at line 80: module 'strict' not found.
  22. ↑ Lua error in package.lua at line 80: module 'strict' not found. If necessary, click Advanced, then click Format, then select Single, then click SEARCH
  23. ↑ Lua error in package.lua at line 80: module 'strict' not found.
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