Dario,

I looked at your review data and the pictures.  To me, almost all of the
pictures were well crafted.  Just for fun, I added a column with the
variance VAR(). Some of the pictures that I liked the best had high
variances.

In thinking about how I judge pictures, I think I put them in three general
categories.  There are some that I really like, some to which I am
indifferent, and others that really rub me the wrong way.  The problem with
the 1--10 scoring is that it's not clear if the low scores were caused by
strong negative reactions or by indifference.

I think that it would be interesting to try a little different scoring
method:  say, 
+5 = very positive,  0 = indifferent, -5 = strongly negative.  You could use
the scoring to create several different sub-exhibits:

o) A "least offensive" exhibit with pictures that 
   score high and have the fewest negative ratings

o) A "most polarized" exhibit with pictures that
   have both the most positives and the most negatives

o) A "most lame" exhibit with the pictures that score
   nearest zero.

Just a crazy thought....

--Mark

Dario Bonazza wrote:
>
>Here are the submitted ratings:
>http://www.dariobonazza.com/provv/Street.xls
>
>Have you seen that quite many pictures rank among the best for some judges 
>and among the worst for others?
>Only two pictures are well above the rest and only two are well below. Any 
>further comments?



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