Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7552  0.009  0.1218  0.4520  0.4121  0.43
Anderszewski 2003   32  0.6819  0.0141  0.0640  0.1518  0.3038  0.21
Ashkenazy 1981   28  0.697  0.0513  0.127  0.5415  0.459  0.49
Bacha 2000   59  0.5968  0.0055  0.0465  0.0427  0.2563  0.10
Badura 1965   55  0.6159  0.0047  0.0745  0.079  0.4542  0.18
Barbosa 1983   78  0.5070  0.0065  0.0374  0.0349  0.0679  0.04
Biret 1990   11  0.7322  0.0121  0.1111  0.486  0.4613  0.47
Blet 2003   30  0.6967  0.0034  0.0535  0.1825  0.2936  0.23
Block 1995   47  0.6416  0.0137  0.0636  0.177  0.4529  0.28
Blumental 1952   75  0.5247  0.0061  0.0556  0.0540  0.1168  0.07
Boshniakovich 1969   29  0.6956  0.0038  0.0738  0.1614  0.4331  0.26
Brailowsky 1960   41  0.6648  0.0059  0.0553  0.0527  0.3053  0.12
Bunin 1987   79  0.4974  0.0083  0.0379  0.0367  0.0487  0.03
Bunin 1987b   81  0.4888  0.0082  0.0380  0.0361  0.0485  0.03
Chiu 1999   68  0.5646  0.0054  0.0562  0.0528  0.2656  0.11
Cohen 1997   87  0.3727  0.0084  0.0386  0.0330  0.1770  0.07
Cortot 1951   52  0.6365  0.0067  0.0376  0.0350  0.0584  0.04
Csalog 1996   72  0.5314  0.0233  0.0644  0.1018  0.3841  0.19
Czerny 1949   31  0.6843  0.0022  0.0933  0.2444  0.0848  0.14
Czerny 1990   1  0.812  0.102  0.204  0.577  0.545  0.55
Duchoud 2007   50  0.6335  0.0049  0.0550  0.0534  0.2659  0.11
Ezaki 2006   18  0.7254  0.0036  0.0731  0.2639  0.1539  0.20
Falvay 1989   34  0.6845  0.0044  0.0642  0.1218  0.4237  0.22
Farrell 1958   44  0.6540  0.0057  0.0558  0.0522  0.2657  0.11
Ferenczy 1958   70  0.5563  0.0081  0.0372  0.0353  0.0581  0.04
Fliere 1977   2  0.818  0.054  0.123  0.5914  0.447  0.51
Fou 1978   27  0.699  0.057  0.0910  0.484  0.528  0.50
Francois 1956   17  0.7211  0.046  0.0913  0.469  0.5210  0.49
Friedman 1923   85  0.3986  0.0087  0.0470  0.0449  0.0775  0.05
Friedman 1923b   86  0.3971  0.0086  0.0287  0.0261  0.0588  0.03
Friedman 1930   82  0.4772  0.0079  0.0377  0.0354  0.0580  0.04
Garcia 2007   67  0.5660  0.0050  0.0551  0.0512  0.4345  0.15
Garcia 2007b   84  0.4637  0.0060  0.0560  0.0514  0.2662  0.11
Gierzod 1998   8  0.7529  0.0018  0.0912  0.4619  0.3622  0.41
Gornostaeva 1994   6  0.7624  0.0020  0.1219  0.447  0.5311  0.48
Groot 1988   36  0.6728  0.0030  0.0730  0.2623  0.4126  0.33
Harasiewicz 1955   56  0.614  0.0624  0.0927  0.3131  0.2630  0.28
Hatto 1993   77  0.5076  0.0069  0.0383  0.0352  0.0683  0.04
Hatto 1997   73  0.5350  0.0071  0.0549  0.0551  0.0574  0.05
Horowitz 1949   66  0.5682  0.0078  0.0385  0.0358  0.0486  0.03
Indjic 1988   76  0.5187  0.0070  0.0552  0.0557  0.0572  0.05
Kapell 1951   33  0.6855  0.0039  0.0737  0.1735  0.1743  0.17
Kissin 1993   7  0.7613  0.0210  0.148  0.498  0.566  0.52
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   16  0.7249  0.0012  0.1116  0.4515  0.4814  0.46
Lushtak 2004   48  0.6433  0.0029  0.0722  0.3625  0.2428  0.29
Malcuzynski 1961   35  0.6741  0.0062  0.0559  0.0538  0.1366  0.08
Magaloff 1978   25  0.7030  0.0042  0.0641  0.1429  0.2940  0.20
Magin 1975   14  0.725  0.068  0.136  0.541  0.603  0.57
Michalowski 1933   71  0.5458  0.0048  0.0647  0.0625  0.3347  0.14
Milkina 1970   10  0.7538  0.0019  0.0814  0.4612  0.4912  0.47
Mohovich 1999   15  0.7215  0.0125  0.1115  0.4619  0.4519  0.45
Moravec 1969   57  0.6132  0.0052  0.0464  0.0427  0.3355  0.11
Morozova 2008   12  0.731  0.171  0.172  0.601  0.582  0.59
Neighaus 1950   23  0.7083  0.0026  0.0724  0.3332  0.2032  0.26
Niedzielski 1931   63  0.5879  0.0072  0.0373  0.0346  0.0577  0.04
Ohlsson 1999   13  0.7220  0.0117  0.089  0.4916  0.4020  0.44
Osinska 1989   5  0.7717  0.0114  0.1217  0.4512  0.4616  0.45
Pachmann 1927   74  0.5251  0.0080  0.0471  0.0469  0.0478  0.04
Paderewski 1930   43  0.6561  0.0058  0.0555  0.0519  0.3154  0.12
Perlemuter 1992   26  0.6910  0.0415  0.1020  0.438  0.4815  0.45
Pierdomenico 2008   38  0.6662  0.0028  0.0725  0.331  0.6217  0.45
Poblocka 1999   24  0.7039  0.0046  0.0646  0.0640  0.1465  0.09
Rabcewiczowa 1932   21  0.7126  0.0011  0.1021  0.385  0.5318  0.45
Rachmaninoff 1923   49  0.6384  0.0032  0.0734  0.2224  0.2533  0.23
Rangell 2001   53  0.633  0.0816  0.0932  0.242  0.5324  0.36
Richter 1976   65  0.5721  0.0177  0.0381  0.0337  0.1567  0.07
Rosen 1989   3  0.7712  0.033  0.115  0.546  0.564  0.55
Rosenthal 1930   45  0.6542  0.0053  0.0561  0.0518  0.3749  0.14
Rosenthal 1931   58  0.6073  0.0066  0.0378  0.0323  0.3858  0.11
Rosenthal 1931b   64  0.5878  0.0074  0.0463  0.0426  0.2961  0.11
Rosenthal 1931c   54  0.6266  0.0063  0.0467  0.0420  0.4052  0.13
Rosenthal 1931d   60  0.5981  0.0075  0.0469  0.0420  0.3160  0.11
Rossi 2007   80  0.4975  0.0076  0.0382  0.0318  0.3264  0.10
Rubinstein 1939   83  0.4657  0.0085  0.0375  0.0347  0.0676  0.04
Rubinstein 1952   69  0.5636  0.0056  0.0557  0.0521  0.4546  0.15
Rubinstein 1966   42  0.6634  0.0051  0.0466  0.0418  0.4451  0.13
Schilhawsky 1960   51  0.6380  0.0064  0.0554  0.0555  0.0573  0.05
Shebanova 2002   4  0.776  0.065  0.101  0.635  0.611  0.62
Smith 1975   19  0.7125  0.0027  0.0826  0.3322  0.3325  0.33
Sokolov 2002   22  0.7018  0.0123  0.1023  0.3515  0.4323  0.39
Sztompka 1959   20  0.7123  0.0135  0.0528  0.2927  0.3027  0.29
Tomsic 1995   46  0.6544  0.0043  0.0643  0.1114  0.5035  0.23
Uninsky 1932   61  0.5977  0.0068  0.0384  0.0360  0.0582  0.04
Uninsky 1971   62  0.5885  0.0073  0.0468  0.0453  0.0671  0.05
Wasowski 1980   40  0.6631  0.0045  0.0548  0.0516  0.3450  0.13
Zak 1937   37  0.6764  0.0040  0.0639  0.1538  0.1744  0.16
Zak 1951   39  0.6653  0.0031  0.0729  0.2629  0.2034  0.23
Random 1   89  -0.1190  0.0090  0.0190  0.0152  0.0490  0.02
Random 2   90  -0.1269  0.0089  0.0289  0.0265  0.0389  0.02
Random 3   88  -0.0189  0.0088  0.0288  0.0228  0.2269  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).