Thanks Folks!  Very appreciated responses.

To sum up what was read.  The system of classification of meteorites is an 
evolving system which seeks to adapt as new knowledge is gained.  The "stoney, 
stoney-iron, iron" historical classification is so passe˘ in the light of 
modern analytical tools. 

There is a "tool box" of standard mineralogical test using common lab equipment 
plus a few specialized ones. Based on an initial subject matter expert visual 
inspection, a menu of tests are selected to determine content: mineral, 
elemental, and isotopic proportions. While not specifically stated, I assume 
that standard lab practice dictates the number and location of sample sites for 
micro probe testing, for example.

As with most things there are exceptions and not all tests, in all 
circumstances, are definitive in discriminating all classifications so 
alternate or supplemental tests are employed to refine classification else 
remove ambiguities.

Numbers used such as 3.1, 3.3, 5 etc are only "nominal"--names for certain 
values. They do not represent equal intervals. For Example, a "3" is not half a 
"6". A "point" 1 is not a mathematical value but a "name" for a secondary 
measurement just like "H" and "5" are respective names for ranges of values.  
They are naming conventions that represent associated, but not equal, data 
ranges for various aspects of mineralogy. This is akin to a model number on a 
washing machine.  Each character means something specific about the washer but 
is not a sequential number.

When all the testing data is charted, the researcher looks for a best overall 
"fit" within plots of all other meteorites, especially those established clans 
the specimen appears belong to.  If the fit is cleanly within all normalized 
values, a call can be made.  On a side note I deduce, meteorites which have 
multiple lithologies not seen in a single sample, are sometimes given two 
separate classifications by two independent researchers.  In this case, for the 
time being, our approval system doesn't pass judgment or try to resolve 
differences.  In effect both researchers are right.

When there isn't a clean fit of data plots--If merited by a data points falling 
outside the envelope, the researcher should consult other specialists prior to 
publishing a classification.  Sometimes this results in a sub-grouping or 
un-grouping classification awaiting other similar specimens to arrive.

The McCoy paper Sterling gave the link to answered a lot of questions.  I see 
that Jeff was a major contributor. Thanks again to all for that great insider's 
perspective.

Elton
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