I understand how you feel and the jargon is confusing. I guess I saw and used the progression (evolution?) of terms and techniques so much in my profession that I didn't notice the transition; sort of like water rolling off a duck
Scientists have their share of jargon too! All said, predictions, predictive models and many other techniques have secured a solid place in our scientific toolbox. Although the old guys (like me) see questions mostly in the form of hypotheses, traditional hypothesis testing isn't really used as much as it once was ; mostly because (I believe) we were trying to appear overly and unrealistically unbiased (e.g., testing a relation of no difference) and being totally objective to a fault perhaps. I took a research perspectives class while working on my PhD many years ago that I reflect on fairly often. The professor (Charlie Warren from UC Berkeley) had us write out the definition of a scientist and what we came up with was a totally unbiased (i.e., no real hard views on anything) person who didn't really have any personal views or opinions on anything related to an outcome; that way, testing of hypotheses led down a nice clean path that generated knowledge without human opinion. Anyway, something like that. Charlie then asked how we ever chose our specialty fields since we had no personal views or opinions! Of course, we all loved and had great passion for our fields and had so from the very beginning. Quite an eye opener for me and the others in the class. The trick of course is to be able to toss out your most closely held views when data demonstrate them to be false. It's hard for some scientists to do but it is what separates the good ones from those really great ones in any given field. I digress as my point is that newer methods are being used today by scientists that may look like a fishing expedition relative to the methods used just a few decades ago. Many methods used today would have been scorned by statisticians when I was a student. Today, we're seeing and deriving really new and useful knowledge from data mining and other techniques that have "evolved" into our scientific toolboxes. I'd put the methods used in this pub somewhere in the middle as they've been in use for quite a while. I'll even go one step further and say that traditional hypothesis testing has led us down some dead end streets, has constrained our views of a specific problem(s) and has yielded erroneous results. I have a colleague who published a paper sometime ago about the problem. I believe the title was the insignificance of significance testing or some such. It was published by DH Johnson and it's a good objective look into traditional hypothesis testing and the like. It's highly technical but a great paper. I'm sure I can find a pdf or link if you're interested.
I too have been interested in the Russian bees and their remarkable ability to handle mites. I've heard folks say great things about their VSH traits, grooming and even chewing off mite legs but I haven't run across a really hard evaluation of the breed. It may be out there but I haven't seen anything in my gleanings but I'm not a bee scientist. I've participated in some bee studies but my contributions have mostly come from the habitat side. I'd love to read anything about them if someone could point me in the right direction. I remember Riverbee talking about the breed but we didn't get to the specifics. Maybe a good topic for a new thread. I used a 100 or so Russian hybrids and liked them ok but they weren't anything special. I'd like to try some pure stock sometime but getting them is difficult.
I do enjoy this site and all the great members but I've been trying to do more retirement activities so it's cut into my time on the computer. I sold a semi-load of bees this summer so now only have a half load to play with--just enough to keep me out of trouble!! Been doing more fishing and spending more time with the family.