Here at the Music Man we are pretty sure that, by now, everyone reading this will be familiar with the song ‘Get Lucky’ by Daft Punk featuring Pharrell Williams and Nile Rodgers. A slick, funky disco tune, the song itself is unmistakable – one of the many reasons why, when NY Chamber Pop ensemble Miracles of Modern Science announced they were going to cover the song, many people were left questioning how good their version could actually be.
Once people heard the cover for themselves, however, everything changed. Rather than just playing the song with traditional chamber pop string instruments, the band had actually come up with a whole new arrangement, resulting in a quirky, unusual rendition of the tune that, once heard, is almost impossible to forget.
The ingeniousness of the cover is reflected not only in the number of views it has on YouTube alone – well over five million – but also in the comments left by fans. “You guys could make a small fortune doing weddings, awesome cover,” reads the most popular comment, whilst another simply says “Dude. Daft Punk on a mandolin…I’m impressed, and more than a little jealous.”
Their quirky version of ‘Get Lucky’ is the most popular video on Miracles of Modern Science’s YouTube channel by quite some stretch, but they have some other covers in a similar style that fans might also want to check out. My personal favorite is their chamber pop take on Carly Rae Jepsen’s ‘Call Me Maybe,’ which really shouldn’t work as well as it does.
Covering any song and making it sound good is a feat, Music Man readers. But to take songs as popular as the likes of ‘Get Lucky’ and ‘Call Me Maybe,’ and then go one step further and transform these songs into your own inimitable style is a whole new level of impressive.
Miracles of Modern Science have turned ‘Get Lucky’ into an unforgettable, delightfully quirky chamber-pop gem—proof that clever arranging and charm can win millions of hearts. If you want to hear more from the band or watch the viral cover, check the useful links below this paragraph to discover more.