Don’t confuse “back of envelope” calculations with pseudo-mathematics. I cannot think of any field of science were rough calculations lead to less understanding than no calculations. By all means criticise the maths and the assumptions.Throwing statistics around has, obviously given a generic overview of what a pseudo-mathematician might think when observing a few case or test results for the generic latent print examiner.
This is not quite true. What I am trying to do with my statistical observations about the McKie case is show that, whatever might be the cause of a misidentification, it will happen disproportionately to an accusation where there is no evidence that the suggested wrongdoing happened, compared with a case where the crime is all too obvious. To someone who is “statistically aware” the McKie case looks like an abnormality, to everyone else it just looks like another accusation.Speculation of routine numbers of mid-idents stems from the assumption that the fault lies with the inevitability of error with all examiners, when in fact it should be applied to each individually.
What causes errors and reject products in an interesting topic, one I am very familiar with. In every job it is essential to understand process capability. If the process is not capable of producing what is required then problems are inevitable. In fingerprinting you claim zero errors due to process capability. Whether or not that is true I agree that each examiner, and each department, might have another source of errors in addition to the process capability rate. What is more, this part of the error rate will be unstable, varying from day to day. So, I agree that even if an industry-wide error rate was estimated, there would be no good reason to assume that real probability of error in any one court case would be anything close to this.
The only way to know for sure that the process produces no errors and to know that your department produces no errors is to find a way to test it to breaking point. If a beam has to hold up one ton there is no point in testing at half a ton. Testing at 2 tons would be best. Don’t confuse a test that you might devise to demonstrate something with a test where you really want to understand the processes and mechanisms that you work with. I have seen many of the former in second rate companies where the real purpose of testing and data collecting is for marketing or passing some quality assurance standard. World class quality comes from understanding processes and why results vary.
There is something which makes talk about error rates in fingerprint almost surreal to me. It is the only profession that I can think of that does not have any idea when it has failed. When a doctor kills his patient he at least knows that the patient is dead. When an airline pilot crashes the plane it is all too obvious. Unless some new evidence is unveiled after conviction, nobody has any reason to question whether a fingerprint ID used in court was good. For this reason I don’t think you can use the “if is ain’t broke don’t fix it” argument. I think you should go out of your way to find out if it is broke, using the hardest possible simulations with known sources, harder than anything that might be used in a court case. You can then quote the results of your department’s tests to juries.