The name is gone. The times and places remain.
Removing the name changes what a movement record says directly. It does not settle what someone can work out.
Someone might know when you arrived at work, or where you met them one afternoon. Small, ordinary pieces of your life. You have not told them everywhere else you went.
But in some datasets, a few such details can distinguish one movement trail from all the others. The known moments fit that trail and no other trail in the collection.
That is not yet an identity. A trail can be unique without anyone knowing whose it is.
The connection requires something more: accurate knowledge from outside the records that links those moments to you. If that connection is correct, the record may disclose other destinations too—places the person making the connection did not already know about.
Knowing a small part of your life can become a way to learn more of it. The familiar details do not have to be secrets to give access to something private.
Even then, a recorded location does not explain a visit. It does not establish what you did there, whom you met, or why you went.
Nor does every nameless dataset permit this kind of connection. The risk depends on the records, how precisely they locate someone in time and space, and what accurate outside information is available.
Those conditions are work for whoever releases the records to examine—not a reason for people to stop having ordinary, recognizable lives.
Removing names is one action. Assessing what the remaining details can reveal in combination is another.
The privacy question cannot end at “What did we take out?”
It must also ask: “What could someone learn by adding what they already know?”