DS 25 Summary

Reference: Data Series




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The first section lists the barriers to being able to use Data Analysis and how to handle them.



When one begins to apply Data Analysis he is often still trying to grasp the data about Data Analysis rather than the out-points in the Data. Just become more familiar with the Data Series.

To know the Ideal Scene one has only to work out the correct products for it. If these aren’t getting out, then there is a departure. By handling one is simply trying to get the scene to get out its products. Unless one proceeds from product back to Establishment, one can’t analyze much of anything.

There is always a product for any scene. A product is something on can HAVE. It is a completed thing that has Exchange value within or outside the activity. If there were no product, there could not really be an Ideal Scene.



A beginner can juggle around and go badly adrift if he doesn’t follow the pattern:

  1. Work out exactly what the (person, unit, activity) should be producing.
  2. Work out the Ideal Scene.
  3. Investigate the existing scene.
  4. Follow outpoints back from Ideal to existing.
  5. Locate the real WHY that will move the existing toward Ideal.
  6. Look over existing resources. 7. 
  7. Get a Bright Idea of how to handle.
  8. Handle or recommend handling so that it stays handled.



One has to be able to think with outpoints. A crude way of saying this is “learn to think like an idiot”. One could also add “without abandoning any ability to think like a genius”.

An Evaluator who listens to people on the scene and takes their WHYs runs a grave risk. If these were the Whys then things would be better. 

A far safer way is to talk only insofar as finding what the product is concerned and investigating. Get the big peak period of production (now or in the past). Compare it to the existing scene just before. 



A veteran evaluator can toss off evaluations in an hour or two, mainly based on how long it takes him to dig up data. A big tough situation may require days and days. 

Man gets dedicated to his own pet theories very easily. A true scientist doesn’t fixate on one idea. He keeps looking until he finds it, not until his pet theory is proven. That’s the test of an evaluator. 



One always runs by statistics where these are valid. Statistics must reflect actual desired PRODUCT. If they do not they are not valid. If they do they give an idea of Ideal Scene. 


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