The Delia Gallagher Observatory

Formerly "The Delia Gallagher Admiration Society"


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Disclaimer: All the ramblings on this blog are solely those of Delia's humble bloggers and are in NO WAY endorsed and /or shared and/or read by its subject. In fact, she would probably cringe at some of the politics and opinions expressed here. Delia's images and likeness throughout this site are meant as a sight for sore eyes and are therefore posted in abundance.

Wednesday, May 18, 2005

Didactic Deductions

I am not a journalist, I am hardly a writer. My world revolves around numbers: probabilities, statistical regression, t-Squares, polynomial equations, log functions, financial ratios… yes, those things you hated in high school and college. Remember those algebraic formulas you so dreaded so much – if train x left station A traveling at 30 mph and train y traveling at 75 mph left Station B , how much time will it take before they realize they are on the same train track? – I use those algebraic formulas A LOT.

Mathematically, seemingly random data, once stratified and analyzed accordingly, isn’t too random anymore. The key is finding that Null Hypothesis, H0 – which is what you are trying to prove in the first place. That null hypothesis helps you in your stratification and analysis process. A wrong null hypothesis is NOT necessarily absolutely wrong, however; at the very least, you can now eliminate that null hypothesis from an array of many other possible hypotheses.

I have gathered some Delia Gallagher “data” and one of the tasks has been to eliminate the “noise” from the significant data points. With numbers, that is easy to do - you can just build a plot chart and eyeball the outliers. In prose, that is not too easy, because Delia, per se, is a function of her writing and reporting. DG = fx(reports, writings) So before you can accurately ascertain the function DG as an independent variable, you have to logically stratify the coefficient variables (R,W)

Sometimes, you find exogenous variables, e.g., Anonymous’ data – which you still have to analyze for “noise” before you can incorporate into your mathematical DG model. The purpose of building a model, in the first place, is to allow for the introduction of new variables and see how it affects the overall result. It is plain and simple a process of mathematical deduction but allows for several logical step scenarios.

The Delia Gallagher mathematical model doesn’t require getting it right the first time (which seems to be a point Anonymous wants to drive home) – unless Delia herself refutes stuff with unassailable facts. Sometimes, the fun in the whole process lies with each deductive step. I am not – at this juncture – ready to declare my model done. A GOOD model is never done; as long as there is a world of possibilities out there, a good model will always be a work in progress.

Please notice the designer scarf:

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