Our projections suggest a very low number of false positives for the reasons I've stated, and false positives in the sense of people denied boarding falsely. I will tell you it would be extremely unlikely in the situation we're talking about for someone to have the same name, gender, date of birth, passport number, home address, home phone number, and the like as someone else. If they have all that, I think it's rather unlikely. As the data points increase, the chance of a mistake diminishes proportionately. We've also taken action by focusing the list to reduce the number of name matches.
On June 14th, 2007. See this statement in context.