Excluded data still exists #

“Junk data” is a misnomer #

All this talk of hierarchy and network is about the constructed information architecture. Just because a sentence in a book isn’t in a Mark record or the ISBN information doesn’t mean the sentence is gone. It’s just not reflected in the pathways to find it.

Just because a specific data point isn’t allocated a place in an architecture doesn’t mean the data point doesn’t exist. It means the architecture is not up to the challenge of fitting the data point in. 

If there is a fault, it’s in the architecture. But it’s only a fault if the data meets the criteria of inclusion yet its not there, and the architecture is believed to be holistic. The behavioral aspects of data denial is complex.

There is no such thing as ‘junk data’, just data that isn’t understood with the lenses and structures being leveraged.

We, as humans, try to make sense of our world. Data makes sense when it’s part of an architecture, pushing and pulling with other data that holistically work towards a higher understanding. 

We like to think we’ve got a handle on things, so we tend to focus on our architectures, and use them to place and understand the nodes. It’s not wrong, but it’s not right, either. It has it’s uses. It’s living in a spectrum node.

The question is the story of how it’s moved aside, and the who-ness involved.