Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6849  0.0026  0.1224  0.3226  0.3115  0.31
Ashkenazy 1981   10  0.708  0.0012  0.1014  0.4422  0.2413  0.32
Beliavsky 2004   53  0.6055  0.0055  0.0458  0.0440  0.0758  0.05
BenOr 1989   6  0.746  0.016  0.266  0.7218  0.348  0.49
Biret 1990   7  0.7212  0.007  0.257  0.583  0.676  0.62
Blet 2003   31  0.6614  0.0020  0.0925  0.3128  0.1226  0.19
Block 1995   57  0.5848  0.0059  0.0548  0.0556  0.0465  0.04
Brailowsky 1960   34  0.6564  0.0037  0.0641  0.067  0.6124  0.19
Chiu 1999   56  0.5819  0.0033  0.0636  0.0641  0.0748  0.06
Clidat 1994   38  0.6461  0.0028  0.0829  0.1930  0.1431  0.16
Cohen 1997   60  0.5550  0.0061  0.0733  0.0712  0.5622  0.20
Coop 1987   26  0.6632  0.0019  0.0915  0.4237  0.0730  0.17
Cortot 1951   61  0.4962  0.0062  0.0637  0.0648  0.0652  0.06
Czerny 1949   50  0.6141  0.0046  0.0549  0.0559  0.0464  0.04
Czerny 1949b   44  0.6329  0.0049  0.0554  0.0552  0.0556  0.05
Ezaki 2006   39  0.6357  0.0042  0.0550  0.0550  0.0653  0.05
Falvay 1989   51  0.6122  0.0056  0.0459  0.0443  0.0755  0.05
Ferenczy 1958   48  0.6113  0.0036  0.0546  0.0521  0.4236  0.14
Fiorentino 1962   21  0.6743  0.0024  0.0822  0.3533  0.1223  0.20
Fliere 1977   17  0.6856  0.0025  0.1123  0.3353  0.0732  0.15
Fou 1978   18  0.6838  0.0013  0.1013  0.4538  0.0825  0.19
Francois 1956   43  0.6316  0.0030  0.0830  0.1711  0.4718  0.28
Hatto 1997   12  0.7034  0.0035  0.0638  0.0624  0.2239  0.11
Horowitz 1971   29  0.6617  0.0022  0.0819  0.3915  0.4410  0.41
Horowitz 1985   52  0.6158  0.0052  0.0457  0.0411  0.5134  0.14
Indjic 2001   11  0.7037  0.0034  0.0639  0.0622  0.2638  0.12
Kapell 1951   30  0.6626  0.0032  0.0731  0.1441  0.0742  0.10
Kiepura 1999   41  0.6340  0.0057  0.0362  0.0348  0.0662  0.04
Kilenyi 1937   45  0.6330  0.0041  0.0547  0.0543  0.0750  0.06
Kissin 1993   13  0.6915  0.0018  0.1016  0.4253  0.0535  0.14
Kitain 1937   62  0.4635  0.0060  0.0542  0.052  0.6629  0.18
Kushner 1990   5  0.763  0.125  0.525  0.735  0.664  0.69
Levy 1951   49  0.6120  0.0043  0.0552  0.0529  0.1941  0.10
Luisada 1990   25  0.6710  0.0027  0.1028  0.2229  0.1627  0.19
Lushtak 2004   27  0.6653  0.0029  0.0927  0.2837  0.0833  0.15
Lympany 1968   40  0.6352  0.0047  0.0635  0.0645  0.0746  0.06
Magaloff 1977   32  0.6654  0.0048  0.0544  0.0554  0.0559  0.05
Magaloff 1977b   35  0.6528  0.0050  0.0551  0.0533  0.1144  0.07
Magin 1975   33  0.6645  0.0040  0.0734  0.0759  0.0549  0.06
Milkina 1970   3  0.807  0.013  0.314  0.771  0.803  0.78
Mohovich 1999   15  0.6833  0.0010  0.148  0.5112  0.557  0.53
Nadelmann 1956   8  0.7142  0.008  0.179  0.4612  0.3511  0.40
Ohlsson 1999   22  0.6711  0.0015  0.1021  0.3625  0.2317  0.29
Olejniczac 1990   19  0.6739  0.0021  0.0818  0.4036  0.1021  0.20
Olejniczak 1991   14  0.6831  0.0017  0.1017  0.4128  0.1819  0.27
Osinska 1989   4  0.794  0.044  0.382  0.8118  0.505  0.64
Paderewski 1912   47  0.6247  0.0038  0.0545  0.0557  0.0560  0.05
Perahia 1994   46  0.6324  0.0014  0.1026  0.318  0.589  0.42
Perlemuter 1986   24  0.675  0.0111  0.1811  0.4529  0.2016  0.30
Poblocka 1999   36  0.6425  0.0045  0.0553  0.0539  0.0747  0.06
Rangell 2001   42  0.6359  0.0039  0.0640  0.0651  0.0561  0.05
Risler 1920   58  0.5723  0.0054  0.0363  0.0342  0.0754  0.05
Rosen 1989   37  0.6427  0.0044  0.0543  0.0529  0.3237  0.13
Rubinstein 1939   2  0.802  0.292  0.493  0.811  0.902  0.85
Rubinstein 1952   1  0.821  0.481  0.471  0.901  0.901  0.90
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rummel 1943   59  0.5636  0.0053  0.0461  0.0431  0.0951  0.06
Shebanova 2002   9  0.7018  0.0016  0.1010  0.4538  0.0728  0.18
Smith 1975   23  0.6746  0.009  0.1512  0.4518  0.3112  0.37
Szpilman 1948   20  0.679  0.0023  0.0720  0.3630  0.2714  0.31
Uninsky 1971   54  0.5944  0.0058  0.0456  0.0451  0.0563  0.04
Wasowski 1980   28  0.6621  0.0031  0.0632  0.139  0.5020  0.25
Weissenberg 1971   55  0.5951  0.0051  0.0455  0.0437  0.0757  0.05
Random 1    65  -0.0260  0.0064  0.0264  0.0217  0.2743  0.07
Random 2   63  0.0765  0.0063  0.0460  0.0422  0.2840  0.11
Random 3   64  -0.0163  0.0065  0.0265  0.0220  0.2845  0.07

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).