About

“In 2012, our good friend David gathered a small crew of people and wandered out into the woods of Bastrop, Texas to make a movie called Prince Avalanche. He then asked us to team up with our other good friend who is also named David to write the musical score. So we set up a makeshift recording studio in Munaf's living room and did just that. Over the course of a few weeks, we wrote and recorded a pretty good amount of new music, and we're happy to be releasing it all as a soundtrack album. The movie itself has also been released, and we think you'll like it. It's funny and sad and odd and beautiful and we're honored to be a part of it.” – Explosions in the Sky, on Bandcamp

“On Prince Avalanche, the enormous, trembling tremolo chords that usually hang like supernovas in Explosions' sky diffuse into a variety of subtler constellations, mostly made of acoustic guitar and piano in counterpoint with electric shimmers and hums. There are taut, crackling ambient pieces ("Fires", "Wading"). There are haunting e-bowed meditations, like the melody for saturated overtones on "Theme from Prince Avalanche" or the plaintive theme on "Passing Time", which recurs on later tracks to give the record its elegiac emotional center. There is a waltz ("Dear Madison"), an eloquently slow and sad flamenco-like tune ("Hello, Is This Your House?"), a misty piano interlude that wouldn't sound out of place on an Eluvium record. There are also a handful of more driving tracks, especially deep cuts "Join Me on My Avalanche" and "Send Off", where a subdued skyward gallop pays deference to the fans who have supported Explosions for so long.” – Pitchfork 

“Explosions in the Sky are stepping away from their signature sound to something more thoughtful and subdued – if their previous work was about the vastness of their home state, then Prince Avalanche is the muted character study of individuals and small settlements previously ignored by the outside world (Prince Avalanche is, after all, a story of two men painting a highway).” – The Line of Best Fit

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