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I don't think the problem is with the number of samples. You're not trying to identify the culprit (automatically) among many potential suspects. You're doing w
by radu_floricica 5y ago
I don't think the problem is with the number of samples. You're not trying to identify the culprit (automatically) among many potential suspects. You're doing what is basic scientific research: you're using all the data you have to try to _disprove_ that he's that guy - which you can do with near 100% certainty. Any missing feature can clear him. After a certain amount of effort you give up.
Which means the trust you have in the team is a lot more important than the size of the dataset.
I don't know how checks and balances would look here. Maybe make available each analysis to the defendant and let him/his team check it out?
Like another commenter said in this thread, some people were convicted on DNA evidence of a hair that wasn't even human. A larger sample won't fix that.
- LorenPechtel 5y agoThe size of the dataset sets the maximum odds of a false positive. We are seeing false positive problems with DNA and the FBI won't cooperate into investigating. (The problem comes from relatives--while two random people are astronomically unlikely to false positive close relatives are likely to have many matches anyway, the odds of a false positive are merely low, not astronomical.)