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To add to what has been said in the other comments, even just a simple algorithme and stats can detect that. You don't even need a Machine Learning model. It's rare than someone clicks on ads, even more several times on the same one, and even more if it's several times every day. The behavior of the user will just look like an aberration on the chart with hundreds times more clicks than the next maximum.


Maybe I misinterpret, but this argumentation by you and some others that "this is easily detectable" is _exactly_ the good part. * They want to ignore me? Mission accomplished * They want to discard my clicks and subtract it from the payout? Mission accomplished etc. in any case they are playing the game for me.

"Good day sir, you lose, I said good day!"




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