Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.2889  0.0073  0.0479  0.0468  0.0478  0.04
Anderszewski 2003   66  0.2813  0.0145  0.0745  0.1323  0.4538  0.24
Ashkenazy 1981   2  0.644  0.082  0.313  0.837  0.822  0.82
Bacha 2000   13  0.4612  0.0116  0.1110  0.593  0.689  0.63
Badura 1965   41  0.3614  0.0123  0.1025  0.446  0.6517  0.53
Barbosa 1983   55  0.3190  0.0058  0.0558  0.0551  0.0670  0.05
Biret 1990   84  0.1628  0.0087  0.0383  0.0367  0.0489  0.03
Blet 2003   75  0.2362  0.0074  0.0480  0.0467  0.0476  0.04
Block 1995   18  0.4427  0.008  0.149  0.6217  0.5712  0.59
Blumental 1952   12  0.469  0.0113  0.1012  0.584  0.728  0.65
Boshniakovich 1969   14  0.457  0.027  0.1318  0.5416  0.5516  0.54
Brailowsky 1960   78  0.2140  0.0075  0.0468  0.0451  0.0764  0.05
Bunin 1987   51  0.3253  0.0053  0.0469  0.0447  0.0860  0.06
Bunin 1987b   50  0.3279  0.0054  0.0848  0.0846  0.0950  0.08
Chiu 1999   8  0.5036  0.0014  0.1022  0.4531  0.3825  0.41
Cohen 1997   52  0.3163  0.0062  0.0475  0.0445  0.1157  0.07
Cortot 1951   74  0.2342  0.0079  0.0565  0.0567  0.0483  0.04
Csalog 1996   68  0.2711  0.0133  0.0644  0.1438  0.2044  0.17
Czerny 1949   86  0.1165  0.0088  0.0288  0.0260  0.0588  0.03
Czerny 1990   17  0.4538  0.0024  0.0923  0.4524  0.6218  0.53
Duchoud 2007   25  0.415  0.0211  0.1116  0.5510  0.5914  0.57
Ezaki 2006   69  0.2554  0.0077  0.0474  0.0457  0.0662  0.05
Falvay 1989   29  0.4061  0.0030  0.0731  0.3617  0.4127  0.38
Farrell 1958   83  0.1644  0.0081  0.0563  0.0567  0.0474  0.04
Ferenczy 1958   88  0.0784  0.0086  0.0285  0.0249  0.0777  0.04
Fliere 1977   7  0.5220  0.009  0.197  0.7026  0.606  0.65
Fou 1978   11  0.478  0.0215  0.1111  0.5811  0.5713  0.57
Francois 1956   85  0.1574  0.0085  0.0286  0.0278  0.0291  0.02
Friedman 1923   39  0.3623  0.0049  0.0947  0.0954  0.0853  0.08
Friedman 1923b   42  0.3656  0.0050  0.1046  0.1053  0.0949  0.09
Friedman 1930   38  0.3675  0.0051  0.0751  0.0749  0.0951  0.08
Garcia 2007   56  0.3118  0.0025  0.0930  0.3925  0.4226  0.40
Garcia 2007b   23  0.4230  0.0019  0.1114  0.5813  0.6511  0.61
Gierzod 1998   26  0.4133  0.0018  0.0913  0.589  0.727  0.65
Gornostaeva 1994   63  0.2835  0.0061  0.0477  0.0454  0.0581  0.04
Groot 1988   10  0.4841  0.0017  0.0915  0.5727  0.3723  0.46
Harasiewicz 1955   57  0.3051  0.0070  0.0557  0.0588  0.0384  0.04
Hatto 1993   22  0.4332  0.0035  0.0828  0.4155  0.0843  0.18
Hatto 1997   60  0.2991  0.0071  0.0653  0.0672  0.0471  0.05
Horowitz 1949   43  0.3519  0.0052  0.0654  0.0647  0.0855  0.07
Indjic 1988   24  0.4250  0.0034  0.0527  0.4243  0.2033  0.29
Kapell 1951   35  0.3866  0.0041  0.0737  0.2438  0.1641  0.20
Kissin 1993   6  0.536  0.026  0.226  0.766  0.814  0.78
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   37  0.3776  0.0037  0.0736  0.2645  0.2040  0.23
Lushtak 2004   16  0.4515  0.0120  0.1419  0.506  0.6015  0.55
Malcuzynski 1961   5  0.542  0.105  0.265  0.782  0.765  0.77
Magaloff 1978   30  0.3967  0.0031  0.0632  0.3634  0.3529  0.35
Magin 1975   28  0.4052  0.0043  0.0941  0.1935  0.3935  0.27
Michalowski 1933   40  0.3680  0.0026  0.0921  0.4627  0.4124  0.43
Milkina 1970   79  0.2185  0.0068  0.0478  0.0461  0.0575  0.04
Mohovich 1999   45  0.3417  0.0039  0.0738  0.2233  0.2639  0.24
Moravec 1969   32  0.3937  0.0036  0.0734  0.2823  0.3631  0.32
Morozova 2008   9  0.5024  0.0010  0.128  0.6610  0.5910  0.62
Neighaus 1950   58  0.3086  0.0060  0.0466  0.0477  0.0482  0.04
Niedzielski 1931   27  0.4016  0.0121  0.0920  0.4922  0.4622  0.47
Ohlsson 1999   31  0.3972  0.0047  0.0750  0.0768  0.0468  0.05
Osinska 1989   80  0.2157  0.0069  0.0473  0.0468  0.0472  0.04
Pachmann 1927   44  0.3429  0.0046  0.0749  0.0742  0.1947  0.12
Paderewski 1930   36  0.3845  0.0040  0.0733  0.3130  0.4228  0.36
Perlemuter 1992   20  0.4364  0.0027  0.0926  0.4325  0.5621  0.49
Pierdomenico 2008   46  0.3410  0.0132  0.0542  0.1928  0.3236  0.25
Poblocka 1999   34  0.3843  0.0029  0.1135  0.2634  0.3034  0.28
Rabcewiczowa 1932   81  0.1868  0.0084  0.0287  0.0270  0.0487  0.03
Rachmaninoff 1923   61  0.2939  0.0057  0.0561  0.0556  0.0565  0.05
Rangell 2001   64  0.2847  0.0064  0.0472  0.0442  0.1258  0.07
Richter 1976   4  0.5925  0.004  0.284  0.7910  0.803  0.79
Rosen 1989   48  0.3369  0.0044  0.0643  0.1451  0.0552  0.08
Rosenthal 1930   73  0.2458  0.0080  0.0560  0.0565  0.0479  0.04
Rosenthal 1931   71  0.2555  0.0063  0.0564  0.0531  0.4945  0.16
Rosenthal 1931b   76  0.2359  0.0065  0.0559  0.0534  0.4246  0.14
Rosenthal 1931c   72  0.2573  0.0072  0.0381  0.0345  0.1261  0.06
Rosenthal 1931d   82  0.1760  0.0076  0.0476  0.0439  0.2548  0.10
Rossi 2007   87  0.1187  0.0083  0.0384  0.0361  0.0573  0.04
Rubinstein 1939   65  0.2881  0.0055  0.0656  0.0650  0.0854  0.07
Rubinstein 1952   54  0.3182  0.0056  0.0467  0.0460  0.0585  0.04
Rubinstein 1966   19  0.4421  0.0012  0.1017  0.5515  0.4620  0.50
Schilhawsky 1960   70  0.2546  0.0078  0.0470  0.0444  0.1456  0.07
Shebanova 2002   1  0.661  0.501  0.501  0.866  0.821  0.84
Smith 1975   77  0.2177  0.0082  0.0382  0.0370  0.0486  0.03
Sokolov 2002   53  0.3126  0.0038  0.0740  0.2043  0.1642  0.18
Sztompka 1959   15  0.4534  0.0022  0.1129  0.4037  0.3030  0.35
Tomsic 1995   33  0.3883  0.0042  0.0939  0.2125  0.2937  0.25
Uninsky 1932   21  0.4331  0.0028  0.1024  0.4539  0.2232  0.31
Uninsky 1971   49  0.3222  0.0048  0.0752  0.0767  0.0469  0.05
Wasowski 1980   47  0.3370  0.0059  0.0562  0.0574  0.0563  0.05
Zak 1937   62  0.2949  0.0066  0.0471  0.0448  0.0766  0.05
Zak 1951   59  0.3071  0.0067  0.0655  0.0664  0.0567  0.05
Average   3  0.633  0.093  0.502  0.8530  0.3119  0.51
Random 1   91  0.0048  0.0089  0.0289  0.0236  0.2059  0.06
Random 2   90  0.0078  0.0091  0.0191  0.0176  0.0390  0.02
Random 3   89  0.0188  0.0090  0.0190  0.0140  0.1380  0.04

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).