You’re now basing your case on circumstantial evidence which is considered near worthless for a reason.
If you have 5 suspects and then do DNA testing that's solid evidence. Ex: Paternity test. But, if you find someone with DNA testing you need to completely ignore that evidence after that point as 100% of its predictive power has already been used.
PS: To show just how easy it is to mess this stuff up. Suppose a murder occurred in NY city and the DB returned 20 people so you look at the closest 3 suspects and aha someone lives just 10 miles from the crime! However, note you already picked someone that was close by so you need to consider the odds that someone who lives close by happens to lives in the area. EX: A high percentage of people living in say NY state also live within 10 miles a crime in NY City.
That seems to be a textbook case of people failing to apply Bayes' theorem properly, not a fault of tests or technology. They, just like doctors analyzing cancer tests, need to remember to multiply one more number...
If you have 5 suspects and then do DNA testing that's solid evidence. Ex: Paternity test. But, if you find someone with DNA testing you need to completely ignore that evidence after that point as 100% of its predictive power has already been used.
PS: To show just how easy it is to mess this stuff up. Suppose a murder occurred in NY city and the DB returned 20 people so you look at the closest 3 suspects and aha someone lives just 10 miles from the crime! However, note you already picked someone that was close by so you need to consider the odds that someone who lives close by happens to lives in the area. EX: A high percentage of people living in say NY state also live within 10 miles a crime in NY City.