Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.3927  0.0082  0.0386  0.0370  0.0487  0.03
Anderszewski 2003   7  0.6317  0.018  0.177  0.655  0.669  0.65
Ashkenazy 1981   57  0.4375  0.0076  0.0476  0.0439  0.1678  0.08
Bacha 2000   64  0.4050  0.0066  0.0470  0.0422  0.3365  0.11
Badura 1965   53  0.4556  0.0047  0.0847  0.086  0.5247  0.20
Barbosa 1983   23  0.5630  0.0035  0.0634  0.3322  0.4737  0.39
Biret 1990   16  0.5725  0.0016  0.1317  0.502  0.6617  0.57
Blet 2003   62  0.4186  0.0075  0.0477  0.0449  0.0681  0.05
Block 1995   71  0.3880  0.0060  0.0563  0.0541  0.1573  0.09
Blumental 1952   50  0.4846  0.0052  0.0556  0.0534  0.3164  0.12
Boshniakovich 1969   8  0.629  0.024  0.225  0.661  0.744  0.70
Brailowsky 1960   58  0.4354  0.0055  0.0558  0.0539  0.2366  0.11
Bunin 1987   48  0.4864  0.0053  0.0652  0.0612  0.4554  0.16
Bunin 1987b   54  0.4560  0.0057  0.0653  0.0612  0.4553  0.16
Chiu 1999   65  0.4070  0.0078  0.0654  0.0662  0.0579  0.05
Cohen 1997   68  0.4028  0.0069  0.0473  0.0412  0.3368  0.11
Cortot 1951   85  0.2943  0.0070  0.0471  0.0438  0.2472  0.10
Csalog 1996   44  0.5141  0.0043  0.1043  0.1912  0.5143  0.31
Czerny 1949   9  0.6115  0.0110  0.2210  0.617  0.756  0.68
Czerny 1990   12  0.6042  0.0015  0.1214  0.5514  0.6813  0.61
Duchoud 2007   66  0.4047  0.0063  0.0472  0.048  0.5755  0.15
Ezaki 2006   22  0.5635  0.0029  0.0530  0.3622  0.5034  0.42
Falvay 1989   3  0.678  0.037  0.174  0.674  0.725  0.69
Farrell 1958   34  0.557  0.0413  0.1812  0.574  0.7210  0.64
Ferenczy 1958   77  0.3687  0.0081  0.0383  0.0349  0.0782  0.05
Fliere 1977   10  0.6137  0.0014  0.189  0.632  0.698  0.66
Fou 1978   29  0.5549  0.0040  0.0836  0.3214  0.4640  0.38
Francois 1956   63  0.4181  0.0061  0.0749  0.079  0.4948  0.19
Friedman 1923   79  0.3488  0.0074  0.0475  0.0436  0.1976  0.09
Friedman 1923b   78  0.3520  0.0073  0.0466  0.0435  0.2671  0.10
Friedman 1930   76  0.3722  0.0062  0.0564  0.0528  0.3063  0.12
Garcia 2007   56  0.4455  0.0048  0.1045  0.109  0.5545  0.23
Garcia 2007b   52  0.4636  0.0037  0.0641  0.248  0.6041  0.38
Gierzod 1998   6  0.6413  0.0111  0.148  0.6311  0.6012  0.61
Gornostaeva 1994   32  0.5548  0.0022  0.1121  0.449  0.5824  0.51
Groot 1988   59  0.4276  0.0054  0.0557  0.0536  0.1674  0.09
Harasiewicz 1955   14  0.5944  0.0018  0.1218  0.5020  0.5622  0.53
Hatto 1993   40  0.5365  0.0038  0.0733  0.3419  0.4936  0.41
Hatto 1997   36  0.5466  0.0033  0.0528  0.3710  0.5431  0.45
Horowitz 1949   86  0.2732  0.0086  0.0287  0.0256  0.0586  0.03
Indjic 1988   37  0.5471  0.0034  0.0927  0.3813  0.5530  0.46
Kapell 1951   11  0.604  0.0612  0.1613  0.5510  0.6115  0.58
Kissin 1993   33  0.5519  0.0027  0.0838  0.3017  0.5535  0.41
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   51  0.4782  0.0059  0.0467  0.0422  0.3961  0.12
Lushtak 2004   25  0.5616  0.0117  0.1115  0.515  0.6616  0.58
Malcuzynski 1961   19  0.576  0.059  0.1411  0.596  0.6311  0.61
Magaloff 1978   46  0.4989  0.0050  0.0559  0.0537  0.2567  0.11
Magin 1975   13  0.605  0.055  0.1316  0.512  0.6714  0.58
Michalowski 1933   80  0.3377  0.0071  0.0378  0.032  0.6357  0.14
Milkina 1970   5  0.653  0.143  0.273  0.712  0.693  0.70
Mohovich 1999   30  0.5558  0.0025  0.1123  0.4212  0.5827  0.49
Moravec 1969   39  0.5353  0.0045  0.0848  0.0826  0.3849  0.17
Morozova 2008   27  0.5652  0.0020  0.1319  0.462  0.6619  0.55
Neighaus 1950   74  0.3772  0.0079  0.0381  0.0349  0.0685  0.04
Niedzielski 1931   87  0.2678  0.0085  0.0385  0.0347  0.0780  0.05
Ohlsson 1999   18  0.5718  0.0126  0.0725  0.421  0.7218  0.55
Osinska 1989   2  0.671  0.301  0.302  0.734  0.742  0.73
Pachmann 1927   67  0.4067  0.0064  0.0379  0.035  0.6256  0.14
Paderewski 1930   84  0.3061  0.0072  0.0468  0.0414  0.4259  0.13
Perlemuter 1992   55  0.4583  0.0067  0.0650  0.0610  0.4551  0.16
Pierdomenico 2008   60  0.4234  0.0049  0.0561  0.055  0.6150  0.17
Poblocka 1999   38  0.5338  0.0042  0.1239  0.2825  0.4442  0.35
Rabcewiczowa 1932   42  0.5124  0.0023  0.1026  0.412  0.5926  0.49
Rachmaninoff 1923   82  0.3179  0.0077  0.0465  0.0452  0.0583  0.04
Rangell 2001   41  0.5310  0.0128  0.0642  0.234  0.6639  0.39
Richter 1976   24  0.5629  0.0030  0.0731  0.358  0.6728  0.48
Rosen 1989   17  0.5712  0.0121  0.1024  0.426  0.6423  0.52
Rosenthal 1930   83  0.3169  0.0087  0.0382  0.0367  0.0488  0.03
Rosenthal 1931   72  0.3763  0.0080  0.0380  0.0335  0.2177  0.08
Rosenthal 1931b   73  0.3773  0.0083  0.0469  0.0434  0.2275  0.09
Rosenthal 1931c   61  0.4274  0.0068  0.0651  0.0636  0.2069  0.11
Rosenthal 1931d   81  0.3384  0.0084  0.0384  0.0355  0.0584  0.04
Rossi 2007   69  0.3921  0.0065  0.0474  0.0422  0.3962  0.12
Rubinstein 1939   20  0.5723  0.0019  0.1220  0.466  0.6221  0.53
Rubinstein 1952   4  0.6511  0.016  0.156  0.653  0.717  0.68
Rubinstein 1966   1  0.712  0.172  0.321  0.772  0.801  0.78
Schilhawsky 1960   45  0.5057  0.0046  0.0846  0.086  0.5946  0.22
Shebanova 2002   28  0.5614  0.0131  0.0640  0.267  0.5838  0.39
Smith 1975   43  0.5133  0.0044  0.0844  0.1512  0.5444  0.28
Sokolov 2002   47  0.4931  0.0056  0.0560  0.059  0.5452  0.16
Sztompka 1959   26  0.5659  0.0036  0.0629  0.364  0.7025  0.50
Tomsic 1995   35  0.5526  0.0041  0.1037  0.317  0.6033  0.43
Uninsky 1932   75  0.3762  0.0058  0.0562  0.0528  0.3858  0.14
Uninsky 1971   49  0.4868  0.0051  0.0555  0.0533  0.3560  0.13
Wasowski 1980   31  0.5551  0.0039  0.0935  0.336  0.5832  0.44
Zak 1937   21  0.5785  0.0032  0.0532  0.347  0.6529  0.47
Zak 1951   15  0.5839  0.0024  0.1222  0.436  0.6720  0.54
Random 1   88  0.0445  0.0088  0.0288  0.026  0.4870  0.10
Random 2   89  -0.0190  0.0089  0.0189  0.0170  0.0389  0.02
Random 3   90  -0.0740  0.0090  0.0190  0.0161  0.0390  0.02

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).