Kurt,
Based on your responses, I suspect your background is similar to mine -- the physical rather than the biomedical sciences. In a former life, I both wrote and reviewed scientific papers in my tiny little corner of the research world. In the physical sciences, scientists are indeed highly dedicated to the scientific method, and to honest, accurate science. You can rely on scientists working in good faith.
I have been told frequently in the past couple of years that this is not necessarily true in biomedical sciences. What I've seen in the past year has led me to believe this is true. I suspect it stems from an inherent lack of understanding of mathematics and statistics, which leads to a much lower standard of rigor than physical scientists expect. This allows for what I consider to be an unconscionable amount of bias and intrusion of opinion into what ought to be pure science.
You are close, I worked in an interdisciplinary field as a systems scientist. I also worked in applied cognitive science (military training), and some coursework background in the physical sciences (physics and chemistry), so you are partly right. Maybe I am too trusting and I do know what you mean about problems with misapplication of statistics in the biological sciences, have had to battle that in my own field. But this is always a two-way street. I have no implicit faith or trust in WPI either, no more than any other lab. They have produced a study that is either incorrect or they did not accurately describe their process, because these other researchers should have confirmed their results many times over by now. Finding a virus should not be so difficult, if it is really there.
Many CFS patients seem have adopted the idea that if a lab confirms XMRV then they are conducting good science, and if they are not able to confirm XMRV then they are shoddy scientists, bad at math, or have a hidden agenda. I don't know where this idea comes from, but just is not reality. The evidence of these studies will all have to be weighed together and tests validated in blinded studies before it is even possible to figure out who is doing good science.