What is the curse of dimensionality in KNN?

In high dimensions, distances become less meaningful, making nearest neighbors unreliable.

As dimensions increase, the distance between nearest and farthest points becomes almost identical. This reduces discrimination power, causing KNN to perform poorly because “nearest” loses meaning.