Osprey is indeed quite wind and trim sensitive relative to many other solos in my experience.
One can have many variables (including different people) included in a study and still draw conclusions. It requires measuring the variables as you perform multiple trials. A standard analysis of variance (ANOVA) tells you the Main Effects and their level of statistical significance. Even Excel offers this basic statistical analysis. It's often critical to include multiple people in studies since biases within individuals are often a dominant factor (that's why "blind" studies are often done when possible).
An ANOVA is also part of standard Gage R&R and it will reveal what type of conclusions (if any) can be drawn from measurements. Your Peregrine may have been hogged, I don't know. In the engineering world if you make one or two measurements and claim "my boat was hogged by 1/2 inch" you'd have to answer some basic questions about your measurement system with supporting data to show that you have a capable and unbiased measurement system...or you could just use more defensible words like "I think mine might have been hogged based on one measurement we did".
I think it's inappropriate for you to insinuate that Dave's boats have any issue with manufacturing variability based on one piece of anecdotal information. I've owned 4 perfect Hemlocks and I see significantly more manufacturing variability in some of the well known higher volume brands although like you I don't have nearly enough data to draw any defensible conclusions about the variability of the dimensions of hulls across manufacturers or manufacturing techniques.