Creaticality

I was recently, in my daily toings'n'froings as a polymath, asked an interesting question:
"how would one, in general, determine the measure of the set intersection ofmultisamples with specified bounded difference between their analytic andempirical mean, in the case where the samples are NOT independent?"

Pondering this gave me a unique opportunity to, having given my initial thoughts on the issue (which, for brevity, i won't go into here), lock down my patented problem solving method for once and for all. I feel compelled now, though a sense of collegiate duty, to share this with the world:

(from the seminal email:)

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...i think the way to solve the problem is as follows:

1. start with some brainstorming, really just open up your mind to unlock the creative spirit within, put yourself in a totally uncritical state, get those thoughts out there, even those fragmentary thoughts, I like to call them Proto-Thoughts or Thoughtlets, or even their predecessors Proto-Thoughtlets, and just mix them all up; then

2. distil the Proto-Thoughtlet mixture that you've created, now's the time to be a bit more critical yet no less creative, try to apply what i like to call Creaticality, still being totally creative yet at the same time being critical of your creation; now,

3. having sorted your Proto-Thoughtlets into a more ordered and critically analysed set of sorted Thoughlets, or Soughtlets, try to structure them, perhaps with the use of a knowledge-structuring flowchart, or KnowChart, aim to capture the connections between the nodes on the KnowChart, i like to call them Knowdes. By now, the shape of the problem should be emerging, through a process we at FuzzyThought (Strategic Advisory Partners) like to call Pshmerging.

4. Having built up the structure of the problem in a process of ConStructuration, utilising the KnowChart method, it is now time to DeConStructurate it into a set of much smaller problems, called Probleminos (from the Italian) through a process of analytical dissection (AnalSection).

5. If you have correctly DeConStructurated the problem, the answer to each Problemino should be obvious; in some cases, while the answer may be staring you in the face, you may have to plumb the deeper truths of the universe in order to recognise it.

6. Reassemble the Problemino answers into the total answer: voila!

Hope this helps!


Dr Matt
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Chief Strategic Advice Delivery Implementation Executive
FuzzyThought
Strategic Advisory Partners

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And here we have a testimonial:


Dr. Matt,

I would like to thank you for your priceless insights into these complex set disjointedness issues plaguing top management in Control Lab today. Incidentally, what is your chargeout rate? Your innovative strategies have been identified to be radical and creative, yet simultaneously cost effective and action-oriented, guaranteed to yield maximal longterm growth in set nondisjointedness; degree of intersection, even. May I take this opportunity to commend you for your deep specialist knowledge of the set disjointedness problem with that unique interdisciplinary (Physics, Chemistry, Italian and philosphy to name but a few) perspective and experience in noncompliant disjoint sets that you clearly possess.

Distilling strategy into the few simple subsets you have suggested has proven to be a powerful tool in aligning the set behaviours. FuzzyThought strategies have enabled channelling my organisation's energy on a selective set of set intersection opportunities and sources of distinct disjoint competitive advantage; they make the whole set union worth so more than the disjointed parts. With your honed thinking in place, I have derived a conservative lower bound on the confidence level associated with the sets in question, to allow for the uncertain, dynamic nature of set disjointedness facing us all today, dealing with the case where the sets in question are indeed fully disjoint, thus eliminating risk. I believe exploiting the structure somehow of the conditionally independent functions associated with each of the sets could yield a less conservative bound, thus reducing the number of samples required; it is not immediately apparent though how this could be achieved- Perhaps you could shed some light.

Dr. Matt, my hearty thanks to you and all at FuzzyThought; Control Lab is indebted to you for granting us faster, better responses to changes in the competitive set environment , from the elimination of initial internal disjointedness barriers, setting our sets free. I'm sure you'll agree, there's been considerable intersection in thinking between FuzzyThought and Control Lab, and the illumination of such profound insights distinguishes FuzzyThought, indeed renders it disjoint from, the Strategy Consulting competition facing it today, tomorrow and the forseeable future.

We at Control relish the prospect of doing business with you again.

Miss Ellie MEng MA Oxon.
Control Lab