1% is accurate when you are imagining a one-off identification, like a police line-up. But when you are conducting millions of scans a day that means you are triggering tens of thousands of incorrect identifications per day (assuming equal type i/ii errors). Many of those are going to be identifying an innocent person as a wanted suspect, or pinning people as being near a crime who weren't actually anywhere near, or identifying a lawful immigrant as someone that overstayed a visa etc etc.

https://news.ycombinator.com/item?id=46845610

https://news.ycombinator.com/item?id=46852073