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In this case, as I understand it, the contractors are largely administering the tests and providing the data, not actually doing the analysis.
Also, there are biases and there are biases. The focus here is on some pretty specific issues that may not have been adequately explored, such as whether formal methods to reduce certain types of bias (for example, Analysis of Competing Hypotheses methodologies) might actually introduce other sorts of biases (for example, ones associated with the the sequencing of information); the impact that classification levels may have on the perceived weight of information (less a problem among analysts who understand how sausages are made than clients who consume the output, in my view); how probability assessments may be skewed by psychological processes, etc.
I don't think it is reinventing wheels.
They mostly come at night. Mostly.
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