Misidentifications

In this exercise each of the 4 million latents was compared against all 25,000 people in the database so 100 billion (100 thousand million) comparisons were carried out. It only needs one error in any of the 100 billon comparisons to create a misidentification. 

 

Fingerprint experts have to avoid a 'random match error'.  This is where the fingerprint of someone who did not leave the latent looks so similar to the person who did that an error happens.  To achieve only 4 misidentifications our fingerprint experts have to achieve a random match error of 1 in 25 billion. This is 4 times the population of the world. 

 

There are other reasons for a misidentification such as the fingerprint examiner knowing that they are checking the print of someone who lives in the house or a near neighbour.  This knowledge could make them subconsciously biased towards an identification.  In science, results are mistrusted unless steps have been taken to make bias impossible.

 

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