Nadelmann 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6911  0.0111  0.1025  0.268  0.5215  0.37
Ashkenazy 1981   14  0.7056  0.0023  0.0824  0.2739  0.0836  0.15
Beliavsky 2004   52  0.6225  0.0032  0.0732  0.1327  0.2227  0.17
BenOr 1989   2  0.7312  0.015  0.214  0.6335  0.1018  0.25
Biret 1990   12  0.7117  0.0116  0.0815  0.3830  0.1817  0.26
Blet 2003   10  0.7123  0.008  0.129  0.459  0.565  0.50
Block 1995   56  0.6038  0.0056  0.0461  0.0441  0.0762  0.05
Brailowsky 1960   29  0.6735  0.0046  0.0552  0.055  0.6025  0.17
Chiu 1999   48  0.6428  0.0049  0.0643  0.0654  0.0559  0.05
Clidat 1994   25  0.6814  0.0133  0.0741  0.0738  0.0656  0.06
Cohen 1997   59  0.5846  0.0061  0.0460  0.0416  0.3740  0.12
Coop 1987   50  0.6361  0.0040  0.0553  0.0556  0.0560  0.05
Cortot 1951   53  0.6158  0.0058  0.0462  0.0454  0.0565  0.04
Czerny 1949   24  0.6849  0.0026  0.0723  0.2935  0.1029  0.17
Czerny 1949b   32  0.6752  0.0020  0.0912  0.4023  0.4211  0.41
Ezaki 2006   16  0.6953  0.0030  0.0926  0.2238  0.1033  0.15
Falvay 1989   34  0.6736  0.0048  0.0738  0.0750  0.0654  0.06
Ferenczy 1958   58  0.5962  0.0057  0.0458  0.0444  0.0761  0.05
Fiorentino 1962   6  0.7222  0.007  0.187  0.5329  0.2714  0.38
Fliere 1977   4  0.733  0.104  0.285  0.5919  0.472  0.53
Fou 1978   22  0.6813  0.0121  0.0916  0.3839  0.0826  0.17
Francois 1956   61  0.5642  0.0062  0.0645  0.0624  0.2641  0.12
Hatto 1997   38  0.6643  0.0043  0.0557  0.0528  0.2642  0.11
Horowitz 1971   41  0.6544  0.0041  0.0554  0.0513  0.5032  0.16
Horowitz 1985   55  0.6150  0.0052  0.0648  0.062  0.6321  0.19
Indjic 2001   23  0.6840  0.0036  0.0835  0.0824  0.2935  0.15
Kapell 1951   5  0.728  0.032  0.233  0.6319  0.453  0.53
Kiepura 1999   47  0.6427  0.0055  0.0556  0.0556  0.0463  0.04
Kilenyi 1937   31  0.6729  0.0022  0.1217  0.3638  0.1023  0.19
Kissin 1993   30  0.6731  0.0019  0.1019  0.3348  0.0637  0.14
Kitain 1937   62  0.4839  0.0060  0.0555  0.058  0.5331  0.16
Kushner 1990   13  0.7051  0.0018  0.0818  0.367  0.636  0.48
Levy 1951   39  0.6630  0.0028  0.0730  0.1821  0.3816  0.26
Luisada 1990   9  0.714  0.0515  0.0920  0.3233  0.1419  0.21
Lushtak 2004   36  0.6648  0.0050  0.0836  0.0833  0.1149  0.09
Lympany 1968   26  0.6854  0.0034  0.0644  0.0613  0.4624  0.17
Magaloff 1977   40  0.6659  0.0039  0.0833  0.0842  0.0851  0.08
Magaloff 1977b   46  0.6541  0.0045  0.0550  0.0535  0.0953  0.07
Magin 1975   7  0.726  0.039  0.128  0.4930  0.3410  0.41
Milkina 1970   19  0.6810  0.0135  0.0740  0.0726  0.2639  0.13
Mohovich 1999   8  0.725  0.043  0.202  0.654  0.711  0.68
Nadelmann 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   51  0.6245  0.0053  0.0739  0.0741  0.0752  0.07
Olejniczac 1990   3  0.732  0.106  0.236  0.5830  0.367  0.46
Olejniczak 1991   11  0.7119  0.0117  0.0910  0.4240  0.0922  0.19
Osinska 1989   1  0.761  0.411  0.411  0.6928  0.374  0.51
Paderewski 1912   57  0.599  0.0251  0.0649  0.0637  0.0757  0.06
Perahia 1994   45  0.6521  0.0042  0.0647  0.0612  0.5130  0.17
Perlemuter 1986   37  0.6616  0.0147  0.0742  0.0717  0.4328  0.17
Poblocka 1999   15  0.6947  0.0029  0.1027  0.2239  0.0838  0.13
Rangell 2001   28  0.6826  0.0031  0.0931  0.1740  0.0743  0.11
Risler 1920   60  0.5760  0.0054  0.0551  0.0535  0.1350  0.08
Rosen 1989   54  0.6137  0.0059  0.0459  0.0436  0.0858  0.06
Rubinstein 1939   33  0.6733  0.0024  0.0922  0.304  0.628  0.43
Rubinstein 1952   21  0.6815  0.0114  0.1311  0.4222  0.3612  0.39
Rubinstein 1966   18  0.6932  0.0013  0.1014  0.3812  0.499  0.43
Rummel 1943   43  0.6534  0.0027  0.0828  0.221  0.6613  0.38
Shebanova 2002   44  0.6555  0.0044  0.0646  0.0644  0.0755  0.06
Smith 1975   27  0.6824  0.0025  0.1021  0.3039  0.0834  0.15
Szpilman 1948   49  0.6457  0.0037  0.0737  0.0731  0.1345  0.10
Uninsky 1971   42  0.6518  0.0110  0.1029  0.2147  0.0546  0.10
Wasowski 1980   35  0.6720  0.0038  0.0834  0.0833  0.1344  0.10
Weissenberg 1971   20  0.687  0.0312  0.0913  0.3835  0.1120  0.20
Random 1    64  0.0065  0.0064  0.0364  0.0317  0.2848  0.09
Random 2   63  0.0263  0.0063  0.0363  0.0321  0.3247  0.10
Random 3   65  -0.0364  0.0065  0.0265  0.0231  0.1064  0.04

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).