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To validate and verify the results, principle component analysis (PCA) and numerical taxonomy (NT) are utilized.
In fact it will be useful to narrow the focus further to a particular family of theories of distributive justice namely, those involving an end-result principle of justice (Nozick 1974, 153 155).
Importantly, the number of resulting principle components was not pre-determined in the principle component analysis set-up.
And he contrasts those with what he calls end-result principles where, whether a distribution is just depends upon how things are distributed.
The same applies to other end-result principles (Hurley 2003, 146 80).
First, some end-result principles have been defended on the basis of considerations about luck.
No such suggestion has been made on behalf of non-end-result principles.
This is to ensure that the resulting principles of justice embody Rawls's commitment to liberal neutrality.
Second, many have inserted into end-result principles clauses that allow for deviations from the prescribed end-result provided that these deviations do not reflect luck.
End-result principles entail that one can judge whether a certain distribution of goods is desirable without knowing how it came about.
The resulting principles and benchmarks may be seen as the outcome of a process which sought to be exhaustive and comprehensive in its criteria for ethically credible AHCIPs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com