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Home » Copyrighting All The Melodies To Avoid Accidental Infringement: Damien Riehl (Transcript) 

Copyrighting All The Melodies To Avoid Accidental Infringement: Damien Riehl (Transcript) 

Here is the full transcript of musician Damien Riehl’s talk titled “Copyrighting All The Melodies To Avoid Accidental Infringement” at TEDxMinneapolis 2020 conference.

Listen to the audio version here:

TRANSCRIPT:

The George Harrison Copyright Case

I’m going to tell you a true story, but instead of the name of the protagonist, I’m going to make you think about your favorite artist. Think about your favorite musician, and think about your favorite song by that musician. Think about them bringing that song from nothing to something into your ears and bringing you so much joy.

Now think about your favorite musician getting sued, and that lawyer saying, “I represent this group. I think you heard their song, and then you wrote your song. You violated their copyright.” Imagine your musician saying, “No, that’s not true. I don’t think I’ve ever heard that song, but even if I did, I certainly wasn’t thinking about them when I made my song.”

Imagine the case going to trial and a judge saying, “You know, I think I believe you, musician. I don’t think you consciously copied that group, but what I think did happen is you subconsciously copied them. You violated the copyright, and you have to pay them a lot of money.

Think about whether that’s fair. Think about whether that’s just. This actually happened to George Harrison, the lead guitarist of the Beatles, and the group was the Chiffons, who had a song, “He’s So Fine,” “Oh, so fine.” George Harrison had a song, “My Sweet Lord,” “Oh, sweet Lord.”

The Finite Number of Melodies

But what neither George Harrison nor the Chiffons nor the judge really nor anybody else had considered is maybe since the beginning of time, the number of melodies is remarkably finite. Maybe there are only so many melodies in this world, and the Chiffons, when they picked their melody, plucked it from that already existing finite melodic data set.