Andrew said, “I think that people try to make it far more complicated than it really needs to be”. If you think it’s being overcomplicated, wait until you read this
The premise is that 90% of erroneous ID’s are from single Identifications to the suspect. From this we are developing way to protect against this happening. This makes sense but before we start developing protection methods maybe we should determine if the premise is even accurate. I’d like to know how this information was arrived at.
I can look at the published list of erroneous ID’s and the premise seems to hold true but I’m also open to looking at other possibilities.
For instance, even if all erroneous ID’s have the ‘single ID’ in common, there may be another common element - that all the ID’s had low quality and quantity. Maybe this is where we need to implement QA measures?
Another thought, is it possible that examiners have a different standard for individualization when it comes to the victim? Perhaps even the verifier has a different level of scrutiny in these ID’s. This could happen because the victim usually isn’t being prosecuted for anything so we don’t need to be as cautious. It might be feasible that a latent print is consistent with the known prints but not sufficient for individualization under normal standards because the consequences aren’t the same. It’s possible that this lower standard is justified, considering that the victims presences has already been established, or it’s possible that erroneous ID’s are made to the victim and just not recognized as errors?
If this is possible then the true error rate for ID’s may be higher than we think it is.
The same hypothesis could be generalized to include suspect ID’s. Suppose we established that a suspect was in vehicle (through an ID to the rearview mirror with plenty of clarity and quantity). Once we’ve established that the suspect was indeed in the vehicle, is it possible that other ID’s are made that may border on sufficiency but nobody questions the ID because it really doesn’t matter as far as guilt is concerned? (I can see a good scientific argument that once presence is established then the standard doesn’t need to be as high, but that’s a subject for another post)
If this is true, then the true error rate may be even higher but these erroneous ID’s aren’t publicized.
Another possibility is that some departments don’t compare all latents to all people – that there are some that stop looking after suspect’s have been ID’d. Thus there could be more potential erroneous ID’s along with the potential for more correct ID’s
I think it’s fair to say that “all errors that have held serious consequences” have come from single ID cases. But are we only concerned with errors that hold serious consequences or should we be concerned with all errors? If we’re concerned with all errors, does this include erroneous exclusions or do we not consider these errors as being serious? Then, because they’re not serious errors, we really don’t need to consider them as errors at all??
Besides the original premise, I’ve also heard another one that’s similar. I’ve heard that the majority of errors are from single ID’s where the AFIS generated the suspect. Is this true? If so, then maybe this is where we need to implement extra quality assurance measures. Looking at this 2nd premise skeptically (I’ve mentioned so many items that this may actually be the 4th or 5th premise), I can see that it may be true in certain circumstances (when the quality and quantity are low). But when the quality and quantity are high, I doubt that erroneous conclusions are a problem. This leads to another premise……that the majority of erroneous ID’s are in single ID cases where AFIS has generated the candidate AND the quality and quantity are low. If we go back to the published lists of erroneous ID’s, it doesn’t seem like the majority of them were produced from AFIS candidates (but many of the brief explanations don’t really indicate how the person became a suspect). AFIS may be a biasing factor but getting a name as a suspect may be just as biasing. This would lead to yet another premise…..that the majority of erroneous ID’s are in single ID cases where the quality and quantity are low (where the suspect is either AFIS generated or not). So this line of reasoning actually leads back to my original thought.
If this is the case then this is when we need to implement QA measures, not in all single ID cases but in cases where the quality and quantity is low. My point is that before we try to implement QA measures, we really need to have a better idea of when erroneous ID’s occur.
One more issue and then I’ll stop (I promise). In many of the erroneous ID cases, there was more than one verifier (showing that in cases where the Q and Q are low, even addition verification doesn’t always help). Would this mean that even if we implement blind verification then we really should be using multiple blind verifiers? Blind verification might take bias out of the equation but does that insure quality results?? I really don't even know if that's been clearly established.
Are people making more out of this than is necessary or do we really need to look at the issues a little closer before trying to find solutions?