Comment by int_19h

If you don't know anything about the other person and are selecting blindly, there's no bias by definition, so that particular selection is not biased regardless of what it looks like.

If the resulting distribution is not what you expected it to be, then there are two simple explanations: either your model was wrong, or the bias that causes the deviation is happening on an earlier stage in the process.

At the same time, if going from non-blind to blind changes the result, it means that there was bias that had been eliminated. The second article pretty much openly admits it and then demands that it be reinstated to produce the numbers that they would like to see.