Unfortunately, while showing what we would consider "intuitively bad data" may seem like a bad idea, only actually empirically testing it can we measure and quantify the exact impact that bad data (either shown purposefully or accidentally, or unknowingly) will have on users.

It may have in fact turned out that what we intuitively think as bad data results in better matches or better experiences. I think experimenting is worthwhile, so long as it is done in the open as they have been doing.