Distancing or Distance is a method that uses previously statistics of a test. It can only be implemented in a test where people who are sure of their type properly marked their type on the beginning of the assessment.
With enough members for each type, it is possible to take the average results for each cognitive function for type. These are the average stacks on each test. Or, in a more elaborated version, simply take the average results for each question on the test.
With these information in mind, it is possible to compare this data with the next test takers. In this way, distancing uses the differences between the test-taker results and each type cognitive function averages (or questions averages) and arrives as an answer the lowest of all possible types sum.
You can think of it as a map, where there is a calculation where the test-taker is VS where the each type is (based on type average). In this map, the coordinates are based on cognitive functions: Se is a coordinate, Si is a coordinate, and goes on… So the test-taker has a location and each type, in average, has a location as well. But this is in full abstract: It is not a 2-D or 3-D map, but rather an 8-D map. Math can handle it without much concerns. The person has a location on the abstract map and each type has a location as well, and the person type is the closest type to the person location. This agrees with the mindset that every person is unique, and the person type is simply the closest “stereotype” (the type average) on the space. Then, with the distance formula in mathematics (simple subtraction can be used but the mathematical distance formula is more precise), it is possible to calculate these distances and – voila – there is the person’s type. It is also good to evaluate how far from the type average a person is, or, basically, can works also to measure how big is the deviation from given type.
Although simple, this method is highly functional and doesn’t actually require a strong back theory.
Typology Triad 