the database doesn’t have to necessarily be accurate if there’s other checks - a flag for test data, a system that checks the person is real against another database before dispersing funds etc
Someone with the skills and knowledge to clean up 150-year old typographical errors in one particular table in the Social Security database system would probably provide more benefit to the taxpayers covering their salary by doing some other task.
It might be better to move to a new database at this point rather than trying to fix the existing one. It won’t give immediate benefits but could be helpful down the line.
I am hoping California ditches SSN and other identifiers from the US Treasury. That information is no longer safe, so we need a fresh database that is secure from DOGE fuckery, among many other hostile actors.
Fixing an archival dataset that doesn’t even pertain to people actively receiving benefits is so far down the list of priorities as to be a criminal misuse if resources.
It’s definitely still concerning if the database has a large number of errors. But systematic fraud would be much worse ofc.
the database doesn’t have to necessarily be accurate if there’s other checks - a flag for test data, a system that checks the person is real against another database before dispersing funds etc
That’s true. Would be better if it was though.
Someone with the skills and knowledge to clean up 150-year old typographical errors in one particular table in the Social Security database system would probably provide more benefit to the taxpayers covering their salary by doing some other task.
It might be better to move to a new database at this point rather than trying to fix the existing one. It won’t give immediate benefits but could be helpful down the line.
Or it could cost a fortune and fuck a lot of other processes up.
That’s true
I am hoping California ditches SSN and other identifiers from the US Treasury. That information is no longer safe, so we need a fresh database that is secure from DOGE fuckery, among many other hostile actors.
Fixing an archival dataset that doesn’t even pertain to people actively receiving benefits is so far down the list of priorities as to be a criminal misuse if resources.