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Reference: Data Series

Reference: Data Series7—FAMILIARITY

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FAMILIARITY

If one has no familiarity with how a scene (area) ought to be, one cannot easily spot outpoints (illogical data) in it. In other words, If one doesn’t know the ideal scene then one is not likely to observe non-ideal points in it. The rule is: 

A PERSON MUST HAVE AN IDEAL SCENE WITH WHICH TO COMPARE THE EXISTING SCENE.

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OBSERVATION ERRORS

When the scene is not familiar one has to look hard to become aware of things. Most errors in observation are made because one has no ideal for the scene or no familiarity with it.

Just because you discovered something novel does not, necessarily, make it important. People often imagine a missing piece of a sequence instead of seeing that it IS missing. Thus, many people become “reasonable” and assume things instead of seeing the outpoint.

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ACCURATE OBSERVATION

There are certain conditions necessary for accurate observation. 

First is a means of PERCEPTION whether by remote communication by various communication lines or by direct looking, feeling, experiencing. 

Second is an IDEAL of how the scene or area should be. 

Third is FAMILIARITY with how such scenes are when things are going well or poorly. 

Fourth is understanding PLUSPOINTS or rightnesses when present. 

Fifth is knowing OUTPOINTS (all 5 types) when they appear. 

Sixth is rapid ability to ANALYZE DATA. 

Seventh is the ability to ANALYZE the SITUATION. 

Eighth is the willingness to INSPECT more closely the area of outness. 

Then one has to have the knowledge and imagination necessary to HANDLE. 

One could call the above the CYCLE OF OBSERVATION. If one calls HANDLE number 9 it would be the Cycle of Control.

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Reference: Data Series

Reference: Data Series 5—INFORMATION COLLECTION

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INFORMATION COLLECTION

Obtaining information is necessary for any analysis of data. If one obtains and analyzes some information he can get a hint of what information he should obtain in what area. By obtaining more data on that area, he can have enough to actively handle.

The QUANTITY of data poured in is not any guarantee of understanding. News media and intelligence actions are not themselves bad. But irrational news media and illogical intelligence activity are psychotic. So information collection can become a vice. It can be overdone.

NORMAL ADMIN FLOWS CONTAIN ENOUGH DATA TO DO A DATA AND SITUATION ANALYSIS.

THE LESS DATA YOU HAVE THE MORE PRECISE YOUR ANALYSIS MUST BE.

INDICATORS MUST BE WATCHED FOR IN ORDER TO UNDERTAKE A SITUATION ANALYSIS.

A SITUATION ANALYSIS ONLY INDICATES THE AREA THAT HAS TO BE CLOSELY INSPECTED AND HANDLED.

The correct sequence is: 

1. Have a normal information flow available.
2. Observe.
3. When a bad indicator is seen, become very alert.
4. Do a data analysis.
5. Do a situation analysis.
6. Obtain more data by direct inspection of the area indicated by the situation analysis.
7. Handle.

An incorrect sequence, bound to get one in deep trouble, is: 

A.    See an indicator.
B.    Act to handle.

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ADMIN CYCLE

Steps 1 to 7 should be taken when the first signs show up. Sometimes it has to be done over and over.

Sometimes the “handle” requires steps which the area is too broken down to get into effect and so becomes “Handle as possible and remember to do the whole cycle again soon.”

Sometimes “handle” is a program of months or years duration, its only liability that it will be forgotten or thrown out before done by some “new broom.”

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RELIABLE SOURCE

If three people tell you the same thing, it is not necessarily a fact as they might all have heard the same lie. Three liars don’t make one fact—they make three outpoints.

You are looking for outpoints. When they are analyzed and the situation is analyzed by them, you then find yourself looking at the truth if you follow the cycle (1) to (7).

If you know thoroughly what the 5 primary outpoints are, they leap into view from any body of data.

It is odd but all the “facts” you protest in life and ridicule or growl about are all one or another of the outpoints. When you spot them for what they are, then you can actually estimate things. And the pluspoints come into view.

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DEFINITIONS

INDICATOR—A visible manifestation which tells one a situation analysis should be done.

BAD INDICATOR—It is merely an outpoint taken from the 5 primary outpoints. It is not “bad news” or a rumor.

DATA—Anything of which one could become aware, whether the thing existed or whether he created it.

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Reference: Data Series

Reference: Data Series 3—BREAKTHROUGHS

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BREAKTHROUGHS

Breakthrough 1: FINDING A DATUM OF COMPARABLE MAGNITUDE TO THE SUBJECT.

A single datum or subject has to have a datum or subject with which to compare it before it can be fully understood. By studying and isolating the principles that make a situation illogical, one can then see what is necessary to be logical.

Breakthrough 2: NO RULES OF LOGIC CAN BE VALID UNLESS ONE ALSO INCLUDES THE DATA BEING USED.

Logic concerns obtaining answers. And answers depend on data. Unless you can test and establish the truth and value of the data being used, one cannot attain right answers.

If A equals B and B equals C, then C equals A. The facts are that the ancient theorem is totally dependent on the DATA used in it. Only if the DATA is correct does the theorem work. Lacking emphasis on the data being used, this theorem can be proven true or false at will.

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DATA ANALYSIS

Unless you can prove or disprove the data you use in any logic system, the system itself will be faulty. 

VALID ANSWERS MAY ONLY BE ATTAINED IN USING VALID DATA.

Ships run on oil, electric motors on electricity and logic runs on data. If the data being stuffed into a computer is incorrect, no matter how well a computer is planned or built or proofed up against faults you can get totally wrong answers.

Thus, if the subject of Data Analysis is neglected or imperfect or unknown or unsuspected as a step, then wild answers to situations and howling catastrophes can occur.

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THE MIND AS A COMPUTER

The mind is a remarkable computer; but the fallacy of the mind is that it can operate on wrong data. If a person can straighten out his data he can be logical and will be logical and can attain right answers to situations.

Thus, we will not be stressing HOW to think but how to analyze that with which one thinks—which is DATA.

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