Arakajime Ushinawareta Bokura no Ballad

"Arakajime Ushinawareta Bokura no Ballad" (予め失われた僕らのバラッド, Our Lost Ballads) is a song by Japanese voice actress idol unit Earphones. It was released as fourth single on 5 October 2016 and was used as the soundtrack for 2016 PS Vita game, Mary Skelter: Nightmares.[1] All songs from the single were featured on their 2nd studio album, Some Dreams.[2]

"Arakajime Ushinawareta Bokura no Ballad"
Single by Earphones
from the album Some Dreams
Released5 October 2016
GenreRock opera
Length5:13
LabelEvil Line Records
Songwriter(s)
  • Nagae Kuwahara (Lyrics)
    Endo (Music)
Producer(s)Soichiro Hirano
Earphones singles chronology
"Hikari no Saki e"
(2015)
"Arakajime Ushinawareta Bokura no Ballad"
(2016)
"Ikken Rakuchaku Goyoujin"
(2017)

Music video

The music video for "Arakajime Ushinawareta Bokura no Ballad" was directed by Pink ja Nakutemo.[3] The video features Earphones performed in distortion world.

Track listing

CD (Regular edition)
No.TitleLyricsMusicLength
1."Arakajime Ushinawareta Bokura no Ballad" (予め失われた僕らのバラッド Our Lost Ballads)Nagae KuwaharaEndo5:13
2."Yummy Yummy Party"CHI-MEYCHI-MEY4:22
3."Yorokobi no Uta" (ヨロコビノウタ The Song of Joy)Yuho IwasatoFrédéric Chopin, Johann Pachelbel, Johann Sebastian Bach, Christian Petzold, Georges Bizet, Gioachino Rossini, George Frideric Handel, Ludwig van Beethoven5:05
4."Arakajime Ushinawareta Bokura no Ballad" (instrumental)  5:13
5."Yummy Yummy Party" (instrumental)  4:22
6."Yorokobi no Uta" (instrumental)  5:05
CD (Limited edition)
No.TitleLyricsMusicLength
1."Arakajime Ushinawareta Bokura no Ballad" (予め失われた僕らのバラッド Our Lost Ballads)Nagae KuwaharaEndo5:13
2."Yummy Yummy Party"CHI-MEYCHI-MEY4:22
3."Arakajime Ushinawareta Bokura no Ballad" (instrumental)  5:13
4."Yummy Yummy Party" (instrumental)  4:22
DVD (Limited edition)
No.TitleLength
1."Arakajime Ushinawareta Bokura no Ballad" (music video) 
2."Yummy Yummy Party" (cinemagraphs cideo) 
3."Arakajime Ushinawareta Bokura no Ballad" (making video) 

Charts

Year Chart Peak
position
2015 Oricon [4] 29

Release history

Region Date Label Format Catalog
Japan 5 October 2016 Evil Line Records CD KICM-1716
CD+DVD KICM-91715
gollark: I mean, postgres has very good caching, so it gets fairly fast if I search for bees multiple times, but whyyyy?
gollark: Yes.
gollark: ```sqlnonlocality=# EXPLAIN ANALYZE SELECT url, ts_rank(fts, query) AS rank, ts_headline(fts::text, query, 'MaxWords=60') FROM pages, websearch_to_tsquery('bee') query WHERE fts @@ query ORDER BY rank LIMIT 1; QUERY PLAN -------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=860.79..861.06 rows=1 width=96) (actual time=35935.590..35935.594 rows=1 loops=1) -> Result (cost=860.79..874.83 rows=52 width=96) (actual time=35935.587..35935.589 rows=1 loops=1) -> Sort (cost=860.79..860.92 rows=52 width=178) (actual time=35934.109..35934.111 rows=1 loops=1) Sort Key: (ts_rank(pages.fts, query.query)) Sort Method: top-N heapsort Memory: 25kB -> Nested Loop (cost=0.25..860.53 rows=52 width=178) (actual time=444.148..35932.932 rows=349 loops=1) Join Filter: (pages.fts @@ query.query) Rows Removed by Join Filter: 10272 -> Function Scan on websearch_to_tsquery query (cost=0.25..0.26 rows=1 width=32) (actual time=0.038..0.041 rows=1 loops=1) -> Seq Scan on pages (cost=0.00..728.95 rows=10495 width=142) (actual time=10.189..289.581 rows=10621 loops=1) Planning Time: 0.184 ms Execution Time: 35935.637 ms(12 rows)```
gollark: What? Why does it say it's doing a sequential scan now? Æ all is bee.
gollark: Slower, even.

References

  1. Mikikazu Komatsu (2016-10-05). "Voice Actress Unit Earphones Wearing Devilish Costumes in New Rock Opera MV". Crunchyroll. Retrieved 2016-10-25.
  2. "Earphones 「Some Dreams」 Interview". Natalie.mu (in Japanese). 2018-03-13. Retrieved 2018-03-25.
  3. "Pink ja Nakutemo Music Video Tag". Pink ja Nakutemo. Retrieved 2017-11-07. (in Japanese)
  4. 予め失われた僕らのバラッド(初回限定盤) (in Japanese)
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.