The thing that really kicked this issue into the public spotlight, though, was recommendation engines which in optimizing for engagement made outliers.
Some are neither; librarians, for example, index off the charts.
In a model which optimized for the outlier, you’re relevant only to the extent you can be transformed into an outlier. What you’re watch is for them.
Their tastes often dictate the product.