[T]he common review mechanisms found across the web mathematically soften taste out to the average. This works a lot of the time, but we tend to have very particular tastes in certain categories – and there is a certain staleness created by narrowing these averages down using look-a-like groups and other algorithmic techniques. Not to mention the fact, that such an approach often lacks the element of serendipity and surprise from discovering something you loved but didn’t expect (especially if you would otherwise have avoided it). As a result, curators both solve a media painpoint and enrich consumption.

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