First normal form (1NF) is a property of a relation in a relational database. A relation is in first normal form if and only if the domain of each attribute contains only atomic (indivisible) values, and the value of each attribute contains only a single value from that domain.
Gravel has fractured faces and is complex. It certainly does not move freely between units. It is used just for the opposite property. Pebbles are rounded move more freely.
(If you want to split hairs, I can do that too.)
The point is that billions of A, G, C, and Ts, do not directly create information about why one person will be Usain Bolt and another will be Amadeus Mozart, or how certain immunotherapy tactics will work with one person or not another. If you want to think about organic molecules, don’t think about dance partners. Get an organic chemistry textbook and a molecular dynamics code and check to see if a metaphor even is in the right ballpark.
From: Friam [mailto:[hidden email]] On Behalf Of Nick Thompson
Sent: Sunday, September 11, 2016 8:41 AM
To: 'The Friday Morning Applied Complexity Coffee Group' <[hidden email]>
Subject: Re: [FRIAM] speaking of analytics - data mining
Marcus,
Now here, I would argue that gravel is a very bad metaphor for base pairs. The salient properties of the elements of gravel is that the particles are more or less uniform in shape free to move with respect to one another , and not easily compressed and broken. Base pairs are of significantly different shapes, bind together importantly with each other and other substances, do not move freely with respect to one another, and can readily be crushed and broken. So, the argument would run, thinking of base pairs as gravel will lead to more errors than thinking of them as, say, dance partners in an elaborate contra-dance.
Nick .
Nicholas S. Thompson
Emeritus Professor of Psychology and Biology
Clark University
From: Friam [[hidden email]] On Behalf Of Marcus Daniels
Sent: Sunday, September 11, 2016 10:33 AM
To: The Friday Morning Applied Complexity Coffee Group <[hidden email]>
Subject: Re: [FRIAM] speaking of analytics - data mining
In anguish, the people invented an entire new profession - Data Mining - that essentially 'crushed' the data stores creating gravel composed of individual datums and put the result in a different, more malleable matrix — live gravel in cement and sand and water (before the matrix dries). From this new medium the people would pluck bits of gravel and place them next to each other an proclaim, "Look! Information!"
That’s a funny story, but it overlooks the fact that sometimes all there is, is bits of gravel. Like 3 billion base pairs of the human genome. There’s no “teenage clerk” that has looked at most of it in detail or has much of any intuition about what it does. Similarly, there’s no Rosetta stone for the nuances of why different whale species vocalize one way or another. It’s just a process of throwing ideas against the wall and see if they stick. Computers can do that more rapidly than humans can, at least. Data mining isn’t just for developers in industry that can’t figure out how to decompose tables or make indices.
There are many approaches to modeling information, database normalization is one of many. Information and category theory contribute other approaches.
Marcus
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