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As I'm sure you all know by now, I'm kind of a fan of chord loops. They've been a primary focus of my own music theory work for years now, and I've done, like, way too many videos trying to wrap my head around them, so you can imagine my excitement when some professor friends of mine dropped a brand-new music cognition study that aimed to answer some of the questions I'd been asking this whole time. But the results were... well, let's just say I've been reconsidering some things, and I'd like to explain why.

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Tom Belknap

Fantastic. Looking forward to this one.

Tom Belknap

Watched on Nebula. Ok, that video is exactly why I'm happy to contribute. I can appreciate the anxiety a study like this might cause! But as a non-academic who needs bread for his creative body, this is the good shit.

Chris

Thank you for this! I am 100% a musical doofus. I started watching your channel with zero knowledge of musical theory and understood a tiny fraction of what you said. 3+ years of watching plus private bass lessons with a theory-loving teacher later, I understand a larger fraction (but still quite ignorant)! With that ignorance as background, what does it take to get a study like this made? Coming from a technical background, it sounds like the kind of study any scientifically-minded music grad student would want to publish...? It SEEEEEMS relatively straightforward to operate, collect data, test ideas, and publish, but again, I recognize my ignorance and bias along with everything looks easier than it is. So. How do you get your study made?

12tonevideos

I'm honestly not sure: I don't work in academic research, so I can't speak from any first-hand experience, but to the best of my knowledge, it's less about technical hurdles and more about the relatively low funding for (and, broadly speaking, interest in) music cognition research. On the technical side, though, I think the major issue and the reason it matters to have qualified, experienced people working on it, is that for something as culturally grounded as music, it can be really difficult to figure out *what* to test. That's part of why I spent so much space in the video picking apart the methodological choices: It's really easy to over-extrapolate and miss all the biases that your choices introduced, so understanding the experimental design is crucial to understanding what the results actually mean. The actual operation side of it was probably pretty straightforward, but again, grain of salt on that 'cause I wasn't the one doing the work.