 When it comes to cold-hit matches, however, further complications arise. The Puckett case can serve as an illustration. In 2008, John Puckett was identified through a database search of 338,000 profiles. He was the only individual in the database who matched the traces collected from Diana Sylvester, a victim of rape in 1972. The expert witness testified that Puckett’s genetic profile should occur randomly among Caucasian men with a frequency of 1 in 1.1 million. This would seem strong evidence against Puckett’s innocence. But the DNA expert for the defense, Bicka Barlow, pointed out that besides the cold-hit match the evidence against Puckett was slim. Barlow argued that the correct assessment of the cold-hit match required to multiply 1/1.1 million by the size of the database. Call the result of this multiplication the database match probability. Multiplying 1/1.1 million by 338,000 yields a database match probability of roughly 1/3, an unimpressive figure. If someone in the database could match with a probability of 1/3, the cold-hit match should not count as strong evidence against Puckett. This was Barlow’s argument.