Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.3928  0.0083  0.0387  0.0371  0.0488  0.03
Anderszewski 2003   8  0.6315  0.009  0.178  0.656  0.6610  0.65
Ashkenazy 1981   58  0.4376  0.0077  0.0477  0.0440  0.1679  0.08
Bacha 2000   65  0.4048  0.0067  0.0471  0.0423  0.3365  0.11
Badura 1965   54  0.4553  0.0048  0.0848  0.087  0.5248  0.20
Barbosa 1983   24  0.5631  0.0036  0.0635  0.3323  0.4738  0.39
Biret 1990   17  0.5723  0.0017  0.1318  0.503  0.6618  0.57
Blet 2003   63  0.4186  0.0076  0.0378  0.0350  0.0684  0.04
Block 1995   72  0.3881  0.0061  0.0564  0.0542  0.1574  0.09
Blumental 1952   51  0.4847  0.0053  0.0557  0.0535  0.3164  0.12
Boshniakovich 1969   9  0.6220  0.005  0.216  0.662  0.745  0.70
Brailowsky 1960   59  0.4354  0.0056  0.0559  0.0540  0.2366  0.11
Bunin 1987   49  0.4864  0.0054  0.0653  0.0613  0.4555  0.16
Bunin 1987b   55  0.4559  0.0058  0.0654  0.0613  0.4554  0.16
Chiu 1999   66  0.4070  0.0079  0.0555  0.0563  0.0580  0.05
Cohen 1997   69  0.4034  0.0070  0.0474  0.0413  0.3369  0.11
Cortot 1951   86  0.2943  0.0071  0.0472  0.0439  0.2473  0.10
Csalog 1996   45  0.5141  0.0044  0.1044  0.1913  0.5144  0.31
Czerny 1949   10  0.6114  0.0011  0.2211  0.618  0.757  0.68
Czerny 1990   13  0.6071  0.0016  0.1215  0.5515  0.6814  0.61
Duchoud 2007   67  0.4045  0.0064  0.0473  0.049  0.5756  0.15
Ezaki 2006   23  0.5642  0.0030  0.0531  0.3623  0.5035  0.42
Falvay 1989   4  0.677  0.018  0.175  0.675  0.726  0.69
Farrell 1958   35  0.554  0.0214  0.1813  0.575  0.7211  0.64
Ferenczy 1958   78  0.3687  0.0082  0.0384  0.0350  0.0782  0.05
Fliere 1977   11  0.6135  0.0015  0.1810  0.633  0.699  0.66
Fou 1978   30  0.5555  0.0041  0.0737  0.3215  0.4641  0.38
Francois 1956   64  0.4182  0.0062  0.0750  0.0710  0.4949  0.19
Friedman 1923   80  0.3488  0.0075  0.0476  0.0437  0.1977  0.09
Friedman 1923b   79  0.3527  0.0074  0.0467  0.0436  0.2672  0.10
Friedman 1930   77  0.3718  0.0063  0.0465  0.0429  0.3068  0.11
Garcia 2007   57  0.4452  0.0049  0.1046  0.1010  0.5546  0.23
Garcia 2007b   53  0.4640  0.0038  0.0642  0.249  0.6042  0.38
Gierzod 1998   7  0.649  0.0112  0.149  0.6312  0.6013  0.61
Gornostaeva 1994   33  0.5546  0.0023  0.1022  0.4410  0.5825  0.51
Groot 1988   60  0.4277  0.0055  0.0558  0.0537  0.1675  0.09
Harasiewicz 1955   15  0.5950  0.0019  0.1219  0.5021  0.5623  0.53
Hatto 1993   41  0.5365  0.0039  0.0734  0.3420  0.4937  0.41
Hatto 1997   37  0.5466  0.0034  0.0529  0.3711  0.5432  0.45
Horowitz 1949   87  0.2732  0.0087  0.0288  0.0257  0.0587  0.03
Indjic 1988   38  0.5472  0.0035  0.0828  0.3814  0.5531  0.46
Kapell 1951   12  0.603  0.0413  0.1614  0.5511  0.6116  0.58
Kissin 1993   34  0.5516  0.0028  0.0839  0.3018  0.5536  0.41
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   52  0.4789  0.0060  0.0468  0.0423  0.3962  0.12
Lushtak 2004   26  0.5619  0.0018  0.1116  0.516  0.6617  0.58
Malcuzynski 1961   20  0.576  0.0110  0.1312  0.597  0.6312  0.61
Magaloff 1978   47  0.4990  0.0051  0.0560  0.0538  0.2567  0.11
Magin 1975   14  0.608  0.016  0.1317  0.513  0.6715  0.58
Michalowski 1933   81  0.3378  0.0072  0.0379  0.032  0.6358  0.14
Milkina 1970   6  0.655  0.024  0.274  0.713  0.694  0.70
Mohovich 1999   31  0.5562  0.0026  0.1124  0.4213  0.5828  0.49
Moravec 1969   40  0.5351  0.0046  0.0749  0.0727  0.3851  0.16
Morozova 2008   28  0.5656  0.0021  0.1320  0.463  0.6620  0.55
Neighaus 1950   75  0.3773  0.0080  0.0382  0.0350  0.0686  0.04
Niedzielski 1931   88  0.2679  0.0086  0.0386  0.0348  0.0781  0.05
Ohlsson 1999   19  0.5713  0.0027  0.0726  0.422  0.7219  0.55
Osinska 1989   3  0.672  0.052  0.293  0.735  0.743  0.73
Pachmann 1927   68  0.4067  0.0065  0.0380  0.036  0.6257  0.14
Paderewski 1930   85  0.3060  0.0073  0.0469  0.0415  0.4260  0.13
Perlemuter 1992   56  0.4583  0.0068  0.0651  0.0611  0.4552  0.16
Pierdomenico 2008   61  0.4233  0.0050  0.0562  0.056  0.6150  0.17
Poblocka 1999   39  0.5336  0.0043  0.1240  0.2826  0.4443  0.35
Rabcewiczowa 1932   43  0.5124  0.0024  0.1027  0.413  0.5927  0.49
Rachmaninoff 1923   83  0.3180  0.0078  0.0466  0.0453  0.0583  0.04
Rangell 2001   42  0.5322  0.0029  0.0643  0.235  0.6640  0.39
Richter 1976   25  0.5625  0.0031  0.0732  0.359  0.6729  0.48
Rosen 1989   18  0.5710  0.0122  0.1025  0.427  0.6424  0.52
Rosenthal 1930   84  0.3168  0.0088  0.0383  0.0368  0.0489  0.03
Rosenthal 1931   73  0.3763  0.0081  0.0381  0.0336  0.2178  0.08
Rosenthal 1931b   74  0.3774  0.0084  0.0470  0.0435  0.2276  0.09
Rosenthal 1931c   62  0.4275  0.0069  0.0652  0.0637  0.2070  0.11
Rosenthal 1931d   82  0.3384  0.0085  0.0385  0.0356  0.0585  0.04
Rossi 2007   70  0.3926  0.0066  0.0475  0.0423  0.3963  0.12
Rubinstein 1939   21  0.5721  0.0020  0.1221  0.467  0.6222  0.53
Rubinstein 1952   5  0.6511  0.017  0.147  0.654  0.718  0.68
Rubinstein 1966   2  0.7112  0.013  0.322  0.773  0.802  0.78
Schilhawsky 1960   46  0.5057  0.0047  0.0847  0.087  0.5947  0.22
Shebanova 2002   29  0.5617  0.0032  0.0641  0.268  0.5839  0.39
Smith 1975   44  0.5138  0.0045  0.0845  0.1513  0.5445  0.28
Sokolov 2002   48  0.4930  0.0057  0.0561  0.0510  0.5453  0.16
Sztompka 1959   27  0.5658  0.0037  0.0630  0.365  0.7026  0.50
Tomsic 1995   36  0.5529  0.0042  0.1038  0.318  0.6034  0.43
Uninsky 1932   76  0.3761  0.0059  0.0563  0.0529  0.3859  0.14
Uninsky 1971   50  0.4869  0.0052  0.0556  0.0534  0.3561  0.13
Wasowski 1980   32  0.5549  0.0040  0.0936  0.337  0.5833  0.44
Zak 1937   22  0.5785  0.0033  0.0533  0.348  0.6530  0.47
Zak 1951   16  0.5837  0.0025  0.1123  0.437  0.6721  0.54
Average   1  0.781  0.741  0.731  0.894  0.781  0.83
Random 1   89  0.0444  0.0089  0.0289  0.026  0.4971  0.10
Random 2   90  -0.0191  0.0090  0.0190  0.0168  0.0390  0.02
Random 3   91  -0.0739  0.0091  0.0191  0.0174  0.0391  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).