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Subject: Proof From Mathematics Into Social Sciences?

Author: Rolf Tueschen

Date: 18:25:58 12/30/05

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On December 30, 2005 at 15:06:34, Ingo Althofer wrote:

>On December 30, 2005 at 13:47:15, Roger D Davis wrote:
>>On December 30, 2005 at 13:02:43, Ingo Althofer wrote:
>> in case of linear evaluation functions with lots
>>>of terms there is always a small subset of the terms
>>>such that this set with the right parameters is
>>>almost as good as the full evaluation function.
>>The whole multivariate approach to the social sciences, of which multiple linear
>>regression is an example, is based on the same assumption.
>                                           ^^^^^^^^^^^^^^^^
>My result mentioned above is not an assumption, but
>a proof (with arguments from linear algebra and
>probability theory).
>But, of course, it is not an accidence that the
>principal component analysis works so well in
>many (also social) sciences.

But nobody ever could _prove_ such some for social sciences. :)

>>Parsimony rules.
>Or, formulated more positively:
>"Occams razor is the best we have!"

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