Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.2883  0.0072  0.0478  0.0467  0.0477  0.04
Anderszewski 2003   65  0.2814  0.0144  0.0744  0.1322  0.4537  0.24
Ashkenazy 1981   2  0.643  0.092  0.492  0.836  0.822  0.82
Bacha 2000   12  0.4612  0.0115  0.119  0.593  0.689  0.63
Badura 1965   40  0.3610  0.0122  0.1024  0.445  0.6517  0.53
Barbosa 1983   54  0.3189  0.0057  0.0557  0.0550  0.0669  0.05
Biret 1990   83  0.1627  0.0086  0.0382  0.0366  0.0488  0.03
Blet 2003   74  0.2361  0.0073  0.0479  0.0466  0.0475  0.04
Block 1995   17  0.4422  0.007  0.148  0.6216  0.5712  0.59
Blumental 1952   11  0.468  0.0112  0.1011  0.583  0.728  0.65
Boshniakovich 1969   13  0.457  0.026  0.1417  0.5415  0.5516  0.54
Brailowsky 1960   77  0.2138  0.0074  0.0467  0.0450  0.0763  0.05
Bunin 1987   50  0.3253  0.0052  0.0468  0.0446  0.0859  0.06
Bunin 1987b   49  0.3278  0.0053  0.0847  0.0845  0.0949  0.08
Chiu 1999   7  0.5031  0.0013  0.1021  0.4530  0.3824  0.41
Cohen 1997   51  0.3162  0.0061  0.0474  0.0444  0.1156  0.07
Cortot 1951   73  0.2340  0.0078  0.0564  0.0566  0.0481  0.04
Csalog 1996   67  0.2713  0.0132  0.0643  0.1437  0.2043  0.17
Czerny 1949   85  0.1166  0.0087  0.0287  0.0259  0.0586  0.03
Czerny 1990   16  0.4539  0.0023  0.0922  0.4523  0.6218  0.53
Duchoud 2007   24  0.415  0.0310  0.1115  0.559  0.5914  0.57
Ezaki 2006   68  0.2554  0.0076  0.0473  0.0456  0.0661  0.05
Falvay 1989   28  0.4060  0.0029  0.0730  0.3616  0.4126  0.38
Farrell 1958   82  0.1643  0.0080  0.0562  0.0566  0.0473  0.04
Ferenczy 1958   87  0.0784  0.0085  0.0284  0.0248  0.0776  0.04
Fliere 1977   6  0.5219  0.018  0.196  0.7025  0.606  0.65
Fou 1978   10  0.474  0.0314  0.1110  0.5810  0.5713  0.57
Francois 1956   84  0.1574  0.0084  0.0285  0.0277  0.0290  0.02
Friedman 1923   38  0.3623  0.0048  0.0946  0.0953  0.0852  0.08
Friedman 1923b   41  0.3656  0.0049  0.1045  0.1052  0.0948  0.09
Friedman 1930   37  0.3675  0.0050  0.0750  0.0748  0.0950  0.08
Garcia 2007   55  0.3115  0.0124  0.0929  0.3924  0.4225  0.40
Garcia 2007b   22  0.4229  0.0018  0.1113  0.5812  0.6511  0.61
Gierzod 1998   25  0.4133  0.0017  0.0912  0.588  0.727  0.65
Gornostaeva 1994   62  0.2835  0.0060  0.0476  0.0453  0.0579  0.04
Groot 1988   9  0.4841  0.0016  0.0914  0.5726  0.3722  0.46
Harasiewicz 1955   56  0.3051  0.0069  0.0556  0.0587  0.0382  0.04
Hatto 1993   21  0.4332  0.0034  0.0827  0.4154  0.0842  0.18
Hatto 1997   59  0.2990  0.0070  0.0652  0.0671  0.0470  0.05
Horowitz 1949   42  0.3518  0.0151  0.0653  0.0646  0.0954  0.07
Indjic 1988   23  0.4250  0.0033  0.0626  0.4242  0.2032  0.29
Kapell 1951   34  0.3867  0.0040  0.0736  0.2437  0.1640  0.20
Kissin 1993   5  0.536  0.025  0.225  0.765  0.814  0.78
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   36  0.3771  0.0036  0.0735  0.2644  0.2039  0.23
Lushtak 2004   15  0.4516  0.0119  0.1418  0.505  0.6015  0.55
Malcuzynski 1961   4  0.542  0.114  0.274  0.781  0.765  0.77
Magaloff 1978   29  0.3968  0.0030  0.0631  0.3633  0.3528  0.35
Magin 1975   27  0.4052  0.0042  0.1040  0.1934  0.3934  0.27
Michalowski 1933   39  0.3679  0.0025  0.0920  0.4626  0.4123  0.43
Milkina 1970   78  0.2185  0.0067  0.0477  0.0460  0.0574  0.04
Mohovich 1999   44  0.3420  0.0138  0.0737  0.2232  0.2638  0.24
Moravec 1969   31  0.3936  0.0035  0.0733  0.2822  0.3630  0.32
Morozova 2008   8  0.5025  0.009  0.127  0.669  0.5910  0.62
Neighaus 1950   57  0.3086  0.0059  0.0465  0.0476  0.0480  0.04
Niedzielski 1931   26  0.4017  0.0120  0.0919  0.4921  0.4621  0.47
Ohlsson 1999   30  0.3972  0.0046  0.0749  0.0767  0.0467  0.05
Osinska 1989   79  0.2157  0.0068  0.0472  0.0467  0.0471  0.04
Pachmann 1927   43  0.3428  0.0045  0.0748  0.0741  0.1946  0.12
Paderewski 1930   35  0.3844  0.0039  0.0732  0.3129  0.4227  0.36
Perlemuter 1992   19  0.4363  0.0026  0.0925  0.4324  0.5620  0.49
Pierdomenico 2008   45  0.349  0.0131  0.0541  0.1927  0.3235  0.25
Poblocka 1999   33  0.3842  0.0028  0.1234  0.2633  0.3033  0.28
Rabcewiczowa 1932   80  0.1869  0.0083  0.0286  0.0269  0.0485  0.03
Rachmaninoff 1923   60  0.2937  0.0056  0.0560  0.0555  0.0564  0.05
Rangell 2001   63  0.2847  0.0063  0.0471  0.0441  0.1257  0.07
Richter 1976   3  0.5924  0.003  0.293  0.799  0.803  0.79
Rosen 1989   47  0.3364  0.0043  0.0642  0.1450  0.0551  0.08
Rosenthal 1930   72  0.2445  0.0079  0.0559  0.0564  0.0478  0.04
Rosenthal 1931   70  0.2555  0.0062  0.0563  0.0530  0.4944  0.16
Rosenthal 1931b   75  0.2358  0.0064  0.0558  0.0533  0.4245  0.14
Rosenthal 1931c   71  0.2573  0.0071  0.0380  0.0344  0.1260  0.06
Rosenthal 1931d   81  0.1759  0.0075  0.0475  0.0438  0.2547  0.10
Rossi 2007   86  0.1187  0.0082  0.0383  0.0360  0.0572  0.04
Rubinstein 1939   64  0.2880  0.0054  0.0655  0.0649  0.0853  0.07
Rubinstein 1952   53  0.3181  0.0055  0.0466  0.0459  0.0583  0.04
Rubinstein 1966   18  0.4411  0.0111  0.1016  0.5514  0.4619  0.50
Schilhawsky 1960   69  0.2546  0.0077  0.0469  0.0443  0.1455  0.07
Shebanova 2002   1  0.661  0.541  0.541  0.865  0.821  0.84
Smith 1975   76  0.2176  0.0081  0.0381  0.0369  0.0484  0.03
Sokolov 2002   52  0.3126  0.0037  0.0839  0.2042  0.1641  0.18
Sztompka 1959   14  0.4534  0.0021  0.1128  0.4036  0.3029  0.35
Tomsic 1995   32  0.3882  0.0041  0.0938  0.2124  0.2936  0.25
Uninsky 1932   20  0.4330  0.0027  0.1123  0.4538  0.2231  0.31
Uninsky 1971   48  0.3221  0.0047  0.0751  0.0766  0.0468  0.05
Wasowski 1980   46  0.3365  0.0058  0.0561  0.0573  0.0562  0.05
Zak 1937   61  0.2949  0.0065  0.0470  0.0447  0.0765  0.05
Zak 1951   58  0.3070  0.0066  0.0654  0.0663  0.0566  0.05
Random 1   90  0.0048  0.0088  0.0288  0.0236  0.1958  0.06
Random 2   89  0.0077  0.0090  0.0190  0.0175  0.0389  0.02
Random 3   88  0.0188  0.0089  0.0189  0.0140  0.1287  0.03

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).