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Hans Aberg wrote on Wed, Apr 30, 2008 02:07 PM UTC:
H.G.Muller:
| Define 'suggestions'. What I get are a set of piece values from which
| you can accurately predict how good your winning chances are, all other
| thing being equal or unknown.

You do not get a theory that predicts winning chances, as chess isn't random. If the assumption is that opponents will have a random style similar in nature to the analyzed data, then it might be used for predictions.

It is clear that Larry Kaufman does not think of his theory in terms of 'x pawns ahead leads to a winning chance p'. You can analyze your data and make such statements, but it is an incorrect conclusion it will be a valid chess theory predicting future games - it only refers to the data of past games you have analyzed.

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