KU Buckets Glossary
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@jayhawkbychoice I feel like a piece of the puzzle of life was just revealed to me… Thank you! (adding to the buckets glossary)
@brooksmd Thanks much for the musical interlude. Awesome!
One more request-- someone mentioned LAS or something like that… I thought it was LABs (Long, Athletic, Bigs) but I can’t recall… So please share that one if you remember it.
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JRYMAN = absolute man (for handling chronic head pain)
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JFoster makes a beautiful axe. Thx 4 sharing your pal with us. Is the 7th string paired with a string an octave apart, like on a 12 string, or is it it’s own 7th string?
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Shizz = filter circumventing form of vulgate for feces.
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RCJHKU is the best of them all!
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@bskeet Thanks so much for starting this list. I’ve been thinking about doing something similar for months! When you’re away and miss some critical definitions, it’s hard to keep up. I’ve been struggling with MUA for a long time.
Acronyms and initialisms are the bane of my existence. I have a hard time remembering their meaning, especially when the same initials can mean different things in different settings. When an academic administrator references a Program Of Study using the initials POS I start to giggle because in my circle of friends that same initialism stands for Piece of Sh*t. Likewise, discussions of an Executive Director hire evoke memories of Bob Dole’s dysfunctional erection. Within my small sphere of influence, the initialism for deoxyribonucleic acid is the only one that gets a pass.
But as long as terms are defined, and there’s an easy place to look them up, it’s all good.
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@JayhawkRock78 said:
The closest I came to a Mossman Guitar was a Mossman Guitar T-shirt I bought at the Walnut Valley Festival in Winfield. Around 1980. At the time the hottest group performing there was named something like Dedannon-out of Ireland. I have their album somewhere. Now a red '66 corvette with white convertable top is high on my list.
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This thread reminds me of a great Allan Sherman song: Harvey and Sheila
Harvey and Sheila, Harvey and Sheila Harvey and Sheila, oh the day they met Harvey and Sheila, Harvey and Sheila Harvey and Sheila, no one will forget
Harvey’s a CPA, he works for IBM He went to MIT and got his PhD Sheila’s a girl, I know, at B.B.D. & O. She works the PBX and makes out the checks
Then came one great day when Harvey took the elevator, Sheila got in two floors later Soon they both felt they were falling Everyone heard Sheila calling, “Ring the bell” But they fell, Harvey and Sheila, fell in love
Harvey and Sheila, Harvey and Sheila Harvey and Sheila, chose a wedding ring Harvey and Sheila, Harvey and Sheila Harvey and Sheila, married in the spring
She shopped at A&P, he bought a used MG They sat and watched TV on their RCA Borrowed from HFC bought some AT&T And on election day, worked for JFK
Then they went and got a Charge-A-Plate from R.H. Macy Bought a layette, pink and lacey then they had twin baby girls Both with dimples, both with curls One named Bea, one named Kay, soon they joined the PTA
Harvey and Sheila, Harvey and Sheila Harvey and Sheila, moved to West L.A. Harvey and Sheila, Harvey and Sheila Harvey and Sheila, flew TWA
They bought a house one day, financed by FHA It had a swimming pool, full of H2O Traded their used MG for a new XKE Switched to the GOP, that’s the way things go
Oh, that Harvey, he was really smart he used his noodle Sheila bought a white French poodle Went to Europe with a visa Harvey’s rich, they say that he’s a VIP This could be only in the U.S.A.
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@wissoxfan83 Brilliant!
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@jaybate-1.0 Not being musically inclined I’ll pass your question to the guy who helped him in the shop. We bunch of old farts meet for coffee every morning and solve the world’s problems.
@jaybate-1.0 As soon as I posted this, Mr Leroy showed up and he said the 7th string was actually the A string from a bass and was the top string of the 7. He also says Jimmy didn’t read music.
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@wissoxfan83 said:
wissoxfan83 RCJHKU is the best of them all!
Not sure how I missed that one. ADDED!
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@brooksmd I could read when a kid but no formal lessons after about 8th grade. Played clarinet, elect bass, & drums from bros & sis + public school. Always wanted to play lead guitar so with “A lot of help from my Friends” I learned to sight read & play other instruments by ear. Some people were reluctant to use Martins as they there was not a truss rod in the neck of the originals made prior to the 60’s & much extra care is needed to protect them from warping. Temperature & humidity can easily damage & adversely effect any string instrument as most flat tops are made from mohagany, spruce & rosewood. When mine was not in use I never even left tension on the strings. If your friend was that distinguished & that accurate of a craftsman that he could service a Martin, he is one brilliant guy. I’ve known many fabulous musicians in my life, even a couple that could repair acoustic string instruments, but accurately repairing a Martin legitimately & definitively is an authentic master craft for certain. If you can find an original D-45 Dreadnot in mint condition for much less less than 10 grand, that is one exceptional find. Solid body electrics are easier for a lamebrain like I was to handle & haul around. Mine was a Gibson SG Special. While I’m mentioning that, someone burglarized one of my boys’ place just least week & stole his.
@jaybate 1.0 There are many ways to tune additional strings-by individual note, fourths, octaves, etc. Dobros, slides, steels are generally tuned to chords such as a standard mouth harp (harmonica), but with any numerical combination, the possibilities are really infinite.
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@bskeet TABBOMA-Take a big bite of my ass !! Definitely a small mind expressing itself.
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@jaybate-1.0 Thank you!!! I have to give a lot of credit to my wife and kids and a little to my parents for the way they raised me. Tough.
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@bskeet Hey! I mentioned the LAS a couple post back. I can’t really remember it exactly, but I think it was long and strong, or long and skinny; I can’t remember! lol
JB will have to clear that one up for you.
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All… I’ve added Jaybate’s latest acronym: DSC = Designated Shit-Canee (player who does not get developed and leaves)
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MBMAP added… compliments of @jaybate-1.0
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@bskeet oh no!!!
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LAS = Long and Strong
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It will grow on you.
You are going to be seeing a lot of it on the floor.
The big men are going to have to become like wing initiators, only from the high post. They are all going to have to run cuts to iron, and dribble drive it.
There is not future in back to the basket play for this group of bigs.
But they can really create an identity for themselves by becoming MBMAPs.
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@jaybate-1.0 I just meant more initials.
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I know.
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PASM. Parametrically Applied Statistical Models.
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If a fan enjoys such, does that make it a Fan-PASM?
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@jaybate-1.0 and if a fan doesn’t?
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Fan-gasm?
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You probably know the great scientific secret of the last 50 years; that science has largely left parametric statistical inference behind and embraced the algorithm without telling the ordinary folks.
It is vaguely analogous to the precedent of the Vatican accepting Charlemagne’s bestowal of temporal powers on the Vatican’s spiritual authorities to make the wetware technology of that particular religion and its leader useful as a means of governance. The flock was not really told much about the gravity of the implications of their religion and its leadership becoming instituted as a temporal bureaucracy to rule them. There was after all a rather profound difference between confessing to your spiritual guide,who has a power to save your soul with a blessing, and confessing to your governor, who has the power and right to hang you, burn you, crucify you, imprison you, or otherwise disseminate that information to police authorities without your knowledge, or recourse.
(Note: I like Catholicism, like I like all religions, when some minority of them, as with some minority of all religions, is not behaving vilely.)
In science, in the good old days of induction, we studied things and we had a philosophy and logical foundation that made valid and meaningful our theoretical explanations of phenomena with probabilities of confidence (i.e., those hypotheses tested and found not refuted).
But we found over time that there were too many things we wanted to study that we could not study by induction without violating the assumptions of induction.
There were too many discoveries that lead us into too many realms where induction just didn’t work very well.
We basically decided, what the heck, who cares if we violate the assumptions. We can at least learn something quantitatively by using models with violated parametric assumptions and accurately measured variable values.
And once we got used to that we decided, what the heck, why don’t we move beyond the parametric models we are violating the assumptions of and just build algorithms, i.e., models that we “believe” will give useful answers. And let’s gauge their usefulness by testing how well they predict the past, i.e., the historical data points we used to build the algorithm in the first place. And let’s gauge how well they predict the future, too. And if they do both pretty well, then lets use those algorithms as explanations of phenomena, like we used to use empirically verified theories of induction.
And then we decided who the hell cares if those algorithms are right or not, if they will attract grants, let’s work with them, and tried to wring at least some useful meanings out of them as we keep the lab open and overhead covered.
Today, in the age of the algorithm, induction is used ad hoc to create statistically significant confidence in the reliability of certain “parameters” and certain “variables” used in an algorithm. Alas, doing so can get rather like a car salesman that might use brand spanking new and highly tested and trustworthy Michelin tires as something to point to and say, “See, this fine, previously owned car has good tires, so you can trust that it will be a good car.”
But of course the good tires may be empirically verifiable facts, but they may be mounted on the rusted rims and broken lug nuts of a rusted out hulk with the rust covered over by a cheap paint job.
The validity of our science increasingly depends not on the replicability of measurable findings, but on the character of the scientists extrapolating via algorithms beyond the statistically verifiable realms of empirical reality.
And that sort of reliance was exactly what drove us to inductive science in the first place way back when.
KENPOM’s algorithms, much as I appreciate the insights he has achieved, and how much more knowledge there is to gain down the path he walks, is, nonetheless, an algorithmic based analysis.
So say your Hail Marys and hope he is a high priest of QA with good character. For when the inductive is mixed with the algorithmic, it is not unlike the religious being mixed with the temporal.
Nothing is ever quite the same afterwards.
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I get the pun, but you will have to articulate the acronym G.A.S.M for me for this word play to work for me.
Oh, on second thought, not.
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I feel you would be able to answer that better than little old me.
