Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   73  0.3386  0.0082  0.0384  0.0370  0.0486  0.03
Anderszewski 2003   26  0.469  0.0110  0.1413  0.548  0.6714  0.60
Ashkenazy 1981   6  0.545  0.0211  0.1216  0.524  0.7015  0.60
Bacha 2000   39  0.4313  0.0126  0.0635  0.245  0.6531  0.39
Badura 1965   49  0.4065  0.0027  0.0630  0.305  0.6225  0.43
Barbosa 1983   37  0.4468  0.0051  0.0750  0.0744  0.1665  0.11
Biret 1990   61  0.3745  0.0063  0.0562  0.0540  0.2172  0.10
Blet 2003   77  0.3284  0.0079  0.0382  0.0366  0.0485  0.03
Block 1995   46  0.4153  0.0029  0.0732  0.2914  0.5430  0.40
Blumental 1952   22  0.4772  0.0032  0.0925  0.369  0.6523  0.48
Boshniakovich 1969   8  0.544  0.134  0.262  0.731  0.773  0.75
Brailowsky 1960   76  0.3261  0.0073  0.0474  0.0445  0.0878  0.06
Bunin 1987   54  0.4035  0.0058  0.1043  0.1019  0.4742  0.22
Bunin 1987b   56  0.3875  0.0059  0.0846  0.0826  0.4046  0.18
Chiu 1999   29  0.4544  0.0043  0.0544  0.1030  0.2252  0.15
Cohen 1997   65  0.3630  0.0075  0.0381  0.0339  0.2475  0.08
Cortot 1951   84  0.2664  0.0084  0.0479  0.0455  0.0681  0.05
Csalog 1996   55  0.3926  0.0045  0.0564  0.0513  0.4555  0.15
Czerny 1949   64  0.3652  0.0061  0.0654  0.0628  0.5048  0.17
Czerny 1990   11  0.5227  0.0013  0.139  0.6112  0.7311  0.67
Duchoud 2007   48  0.4146  0.0039  0.0641  0.128  0.6039  0.27
Ezaki 2006   47  0.4155  0.0040  0.0540  0.1443  0.2345  0.18
Falvay 1989   9  0.5324  0.0014  0.1510  0.611  0.6512  0.63
Farrell 1958   66  0.3517  0.0038  0.0738  0.1818  0.4238  0.27
Ferenczy 1958   87  0.2182  0.0087  0.0477  0.0452  0.0679  0.05
Fliere 1977   4  0.5723  0.005  0.274  0.737  0.705  0.71
Fou 1978   13  0.5121  0.0016  0.1514  0.5310  0.6316  0.58
Francois 1956   82  0.2874  0.0081  0.0385  0.0362  0.0488  0.03
Friedman 1923   67  0.3515  0.0169  0.0556  0.0532  0.2863  0.12
Friedman 1923b   68  0.3522  0.0068  0.0567  0.0533  0.3460  0.13
Friedman 1930   62  0.3656  0.0062  0.0558  0.0566  0.0483  0.04
Garcia 2007   59  0.3742  0.0033  0.1033  0.298  0.6127  0.42
Garcia 2007b   33  0.4459  0.0018  0.1317  0.513  0.7413  0.61
Gierzod 1998   12  0.5218  0.007  0.128  0.651  0.757  0.70
Gornostaeva 1994   44  0.4254  0.0047  0.0569  0.0525  0.4656  0.15
Groot 1988   28  0.4512  0.0121  0.0829  0.3023  0.3836  0.34
Harasiewicz 1955   31  0.4562  0.0041  0.0539  0.1546  0.0773  0.10
Hatto 1993   21  0.4867  0.0030  0.0924  0.3820  0.4429  0.41
Hatto 1997   45  0.4263  0.0057  0.0748  0.0737  0.1470  0.10
Horowitz 1949   78  0.3141  0.0074  0.0480  0.0443  0.1177  0.07
Indjic 1988   20  0.4849  0.0022  0.0723  0.4117  0.5424  0.47
Kapell 1951   17  0.4920  0.0015  0.1415  0.527  0.5418  0.53
Kissin 1993   7  0.546  0.029  0.1812  0.575  0.828  0.68
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   43  0.4266  0.0048  0.0560  0.0527  0.3061  0.12
Lushtak 2004   15  0.5110  0.0112  0.1111  0.602  0.7510  0.67
Malcuzynski 1961   5  0.561  0.261  0.265  0.711  0.744  0.72
Magaloff 1978   32  0.4480  0.0044  0.0545  0.0922  0.3943  0.19
Magin 1975   16  0.5025  0.0019  0.1021  0.4210  0.6320  0.51
Michalowski 1933   70  0.3469  0.0060  0.0557  0.056  0.5847  0.17
Milkina 1970   40  0.4338  0.0024  0.0622  0.4216  0.5822  0.49
Mohovich 1999   30  0.4511  0.0123  0.0728  0.3020  0.4933  0.38
Moravec 1969   24  0.4637  0.0037  0.0737  0.1811  0.4937  0.30
Morozova 2008   10  0.5314  0.018  0.177  0.661  0.709  0.68
Neighaus 1950   72  0.3481  0.0078  0.0478  0.0467  0.0484  0.04
Niedzielski 1931   75  0.3378  0.0070  0.0568  0.0543  0.1176  0.07
Ohlsson 1999   19  0.4829  0.0035  0.1027  0.339  0.5228  0.41
Osinska 1989   35  0.447  0.0120  0.0918  0.4718  0.5221  0.49
Pachmann 1927   60  0.3750  0.0065  0.0565  0.0516  0.4854  0.15
Paderewski 1930   71  0.3473  0.0067  0.0559  0.0517  0.5350  0.16
Perlemuter 1992   36  0.4470  0.0055  0.0847  0.087  0.5941  0.22
Pierdomenico 2008   57  0.3831  0.0054  0.0653  0.065  0.5844  0.19
Poblocka 1999   25  0.4636  0.0036  0.0736  0.2320  0.5035  0.34
Rabcewiczowa 1932   69  0.3579  0.0066  0.0473  0.0440  0.1874  0.08
Rachmaninoff 1923   80  0.3083  0.0072  0.0475  0.0468  0.0482  0.04
Rangell 2001   50  0.4043  0.0042  0.0542  0.1013  0.5540  0.23
Richter 1976   2  0.588  0.016  0.273  0.733  0.801  0.76
Rosen 1989   27  0.4516  0.0028  0.0626  0.3513  0.4432  0.39
Rosenthal 1930   83  0.2860  0.0086  0.0386  0.0370  0.0487  0.03
Rosenthal 1931   79  0.3158  0.0077  0.0471  0.0431  0.4059  0.13
Rosenthal 1931b   81  0.3090  0.0080  0.0383  0.0330  0.3866  0.11
Rosenthal 1931c   74  0.3385  0.0076  0.0566  0.0533  0.2367  0.11
Rosenthal 1931d   85  0.2587  0.0085  0.0476  0.0445  0.0680  0.05
Rossi 2007   86  0.2589  0.0083  0.0387  0.0327  0.3368  0.10
Rubinstein 1939   42  0.4347  0.0031  0.0934  0.2612  0.5234  0.37
Rubinstein 1952   18  0.4848  0.0025  0.0620  0.4511  0.5919  0.52
Rubinstein 1966   3  0.573  0.163  0.336  0.697  0.716  0.70
Schilhawsky 1960   58  0.3857  0.0064  0.0563  0.0514  0.4057  0.14
Shebanova 2002   1  0.612  0.242  0.281  0.764  0.772  0.76
Smith 1975   63  0.3671  0.0071  0.0655  0.0638  0.1869  0.10
Sokolov 2002   52  0.4032  0.0046  0.0472  0.0427  0.4158  0.13
Sztompka 1959   14  0.5134  0.0017  0.1319  0.4510  0.6617  0.54
Tomsic 1995   23  0.4619  0.0034  0.0831  0.293  0.6226  0.42
Uninsky 1932   53  0.4028  0.0052  0.0652  0.0621  0.4251  0.16
Uninsky 1971   51  0.4033  0.0056  0.0749  0.0742  0.1664  0.11
Wasowski 1980   34  0.4440  0.0049  0.0470  0.0430  0.3862  0.12
Zak 1937   41  0.4351  0.0053  0.0651  0.0618  0.4349  0.16
Zak 1951   38  0.4439  0.0050  0.0561  0.0514  0.4853  0.15
Random 1   88  0.0188  0.0088  0.0288  0.027  0.4871  0.10
Random 2   89  0.0076  0.0090  0.0190  0.0172  0.0389  0.02
Random 3   90  -0.0377  0.0089  0.0189  0.0152  0.0490  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).