I’m documenting how Google’s automated privacy tools fail in real situations.
First problem: Google starts a “removal in progress” process even when the result doesn’t actually exist anymore. The post is deleted, the content is gone, no personal data is visible, yet the system still treats it as an active result. This directly contradicts Google’s own rule that only visible search results qualify for removal.
Second problem: the “Results About You” tool is inconsistent. Sometimes it detects personal data, sometimes it completely ignores it, even when the same name or information appears. Two nearly identical posts can get totally different treatment. This proves the detection is unreliable and fully automated.
Third problem: Google’s documentation does not match reality. The official rule says they only consider URLs that appear in search results. In practice, Google processes URLs that don’t appear properly at all. The system behaves as if it sees something that the user cannot see.
Fourth problem: everything indicates that the system is fully automated. The detection is random, the notifications are random, and the removal attempts are random. There is no logical consistency. This is not human review; it’s a buggy machine making decisions.
Fifth point: my case is a perfect example. The post is deleted, the content is gone, the personal data is gone, the search result is basically just a title, and Google still launches a removal process. Meanwhile, real existing posts with my name are ignored. This shows the automation is unreliable and contradicts Google’s own rules.
