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HN proceeds to give a crowd pseudo-lecture on notation, because notation is important. I think HN misses the point.

If you do these analysis using very basic notation knowledge (letters on top of lyrics are chords!), can you discover by yourself what you missed?

Many self-taught amateur musicians go through something similar. You play the simple chord chart, then you notice by yourself that it is not enough. You start to understand the instrument, training the ear, and learning beyond the simple charts.

Can you do that with data? Possibly. Maybe, as others mentioned, another dataset would be needed. However, to suggest that such dataset needs to be "a better one in notation" seems misguided.

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duped 4 days ago | parent [-]

I don't see anyone harping on notation, but using notation to point out why the analysis is lacking.

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alganet 4 days ago | parent [-]

The author self-reported lack of music knowledge.

Using notation to point out the mistakes makes no sense. Unless the message in those critics is "learn notation".

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dboreham 4 days ago | parent | next [-]

You don't need to learn any notation to understand the concept that human perception of music is driven by relative frequency relationships, not absolute frequency.

	▲	alganet 4 days ago \| parent [-]
		Yeah, that seems about right. Many musicians can just play a song that feels good. Never knowing anything about notation or frequency stuff. Maybe a data guy can extract something useful from an incomplete dataset too. What was the author trying to do? Showing some prowess with data while learning about music. I think the result was good.

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duped 4 days ago | parent | prev [-]

The notation is the tool to describe abstract concepts. It's impossible to talk about why analysis is flawed if you don't even have the language to describe the data being analyzed.

edited to remove some snark.

	▲	alganet 4 days ago \| parent [-]
		So it is _exactly_ what I called it to be then: HN giving a pseudo-lecture on notation. Because notation is important. However, it's a loose exploration of data, no hypothesis. The "flaw" only exists if you treat it like it is meant for professional musicians.