Long before star ratings and thumbs-up icons, judging whether a song was good largely happened through word of mouth, radio request lines, and whether a single sold enough copies to justify a follow-up. The tools for measuring a song's popularity have changed dramatically, and so has the process of deciding, as a listener, whether something was actually worth your time.
For most of the 20th century, the closest thing to a public rating system was the chart itself; if a song sold well and got played on the radio, that was treated as evidence of quality by association, even though sales and airplay measure popularity, not personal satisfaction. Critics filled some of the gap with album and single reviews in music magazines and newspapers, but that was a small number of professional gatekeepers deciding what counted as good, not a reflection of what everyday listeners actually thought.
Online forums, then dedicated music review sites, then social media, gradually handed the microphone to ordinary listeners instead of a small set of critics. Star ratings, aggregate scores, and comment sections became a new, messier, but far more democratic way of judging whether a song held up. The tradeoff is that aggregate scores can flatten a lot of nuance, one number rarely captures whether a song is good to dance to, good to cry to, or just good as background noise.
Today, streaming counts function as an ambient, constantly updating popularity signal, but a stream count still doesn't tell you whether someone loved a song or just left it running in a playlist. That gap between "this got played a lot" and "people actually wanted to hear it again" is exactly the space community ratings are built to fill.
That's the thinking behind rating songs here with three separate questions instead of one score: a spin rating for overall quality, a straightforward recommend-or-not, and the one that cuts closest to real affection, whether you'd actually put it on repeat. A song can rate well on all three, or split in interesting ways, and that split tells you more than a single number ever could.
Try it yourself and see how your ratings compare to everyone else's.
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