There's a bias monster under every bed
Posted: Mon Mar 18, 2013 7:13 am
http://www.sciencedirect.com/science/jo ... 113681/2/1
The latest bias paper from Dror with 12 commentaries by the ususal suspects.
The funniest thing about the paper:
Dror's papers always reminds me of a Mad Magazine spoof I read on Murder She Wrote in 1986. In the parody, when the Detectives learn that everytime Angela Lansbury's character goes somewhere there's a murder, they realize perhaps she should be treated as a suspect. The translation here being that perhaps someone should study the biasability of bias researchers as his experiments always seem to turn up bias of every kind in every aspect of every task.
All snark aside, as I've said before, I think that there is still a lack of mechanism illustrated by Dror, but rather he appeals to a nebulous 'psychology' and he ends up having to cite everyone from Cicero to Amos Tvsersky to the Wason selection task to make his point. At the end of the day, it's nothing he hasn't already said since 2008 (http://www.clpex.com/Articles/TheDetail ... ail367.htm). As far as our industry goes, I think we lack a theory of value and we end up having to settle with notions of confidence that are disconnected from what we're seeing. Just look at the latest swgfast docs.
However, since Dror mentions mitigating bias through the use of a linear comparison process that he should test that. Put the FBI's process to the test. If he's right we should find a statistically signifcant difference in the intra/inter rater reliability metric.
The latest bias paper from Dror with 12 commentaries by the ususal suspects.
The funniest thing about the paper:
Followed by:Examiners should work “linear” rather than “circular,” ... Indeed, the FBI recently revised its Standard Operating Procedures (SOPs) to “include some steps to avoid bias: examiners must complete and document analysis of the latent fingerprint before looking at any known fingerprint”.
Is this research or advertising?Acknowledgements
This work was supported in part by a research grant by the National Institute of Standards and Technology (NIST), Federal Bureau of Investigation (FBI), and Department of Defense (DoD/CTTSO/TSWG), #N41756-10-C-3382, awarded to Itiel Dror; and in part by funds provided by the Research Foundation of the City University of New York to Saul Kassin.
Dror's papers always reminds me of a Mad Magazine spoof I read on Murder She Wrote in 1986. In the parody, when the Detectives learn that everytime Angela Lansbury's character goes somewhere there's a murder, they realize perhaps she should be treated as a suspect. The translation here being that perhaps someone should study the biasability of bias researchers as his experiments always seem to turn up bias of every kind in every aspect of every task.
All snark aside, as I've said before, I think that there is still a lack of mechanism illustrated by Dror, but rather he appeals to a nebulous 'psychology' and he ends up having to cite everyone from Cicero to Amos Tvsersky to the Wason selection task to make his point. At the end of the day, it's nothing he hasn't already said since 2008 (http://www.clpex.com/Articles/TheDetail ... ail367.htm). As far as our industry goes, I think we lack a theory of value and we end up having to settle with notions of confidence that are disconnected from what we're seeing. Just look at the latest swgfast docs.
However, since Dror mentions mitigating bias through the use of a linear comparison process that he should test that. Put the FBI's process to the test. If he's right we should find a statistically signifcant difference in the intra/inter rater reliability metric.