Unconventional Image Classification

Yesterday:

• somebody sent me a link
• it's a gallery with a lot of portraits ... conference participants
• while looking for the guys I know, I became interested in the "views" value of each picture
• the pictures are quite uniform, so what caused the difference? And, wait, why do the girls tend to have higher values?
• some minutes later ...

Now just draw the regression line and voila we got our classifier, not perfect but pretty good. Just one question: Would this also work at the annual meeting of your local Tupperware® consultants? Or can we just flip the classes?

NB: The later pictures (>90) were posted a week after the others, that would explain the gap.