This is a much better articulation of the problem. From this my takeaway is that the definition of the word "bias" is overloaded here:

1) biased as in "the sample does not represent the population" 2) biased as in "the world is far from ideal"

And mixing the two definitions together is confusing: "Even if the data-set is not biased, biases still exist"