Given a large enough time frame this can be treated as random noise which is easily filtered out, and this data isn’t necessarily meant to track your supermarket shopping. For example, you can use it to figure out where somebody went who has gone into hiding. They might have cleared out their bank accounts before leaving and with that data you can see where these banknotes are now showing up. Just wait at the store they apparently visit every Tuesday.
I’m a tradesman and get paid in $100 all the time. A guy from the city gave me $100 for a job. My wife, who is a treasurer for Girl Guides, traded her cookie money of $10’s and $20"s for my $100 and deposited it in the bank. Now the FBI can prove that my customer has an unhealthy cookie addiction.
Given a large enough time frame this can be treated as random noise which is easily filtered out, and this data isn’t necessarily meant to track your supermarket shopping. For example, you can use it to figure out where somebody went who has gone into hiding. They might have cleared out their bank accounts before leaving and with that data you can see where these banknotes are now showing up. Just wait at the store they apparently visit every Tuesday.
I’m a tradesman and get paid in $100 all the time. A guy from the city gave me $100 for a job. My wife, who is a treasurer for Girl Guides, traded her cookie money of $10’s and $20"s for my $100 and deposited it in the bank. Now the FBI can prove that my customer has an unhealthy cookie addiction.