Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5965  0.0035  0.0929  0.2529  0.1731  0.21
Anderszewski 2003   44  0.5235  0.0045  0.0548  0.0523  0.3143  0.12
Ashkenazy 1981   4  0.691  0.331  0.331  0.824  0.622  0.71
Bacha 2000   40  0.5318  0.0150  0.0466  0.0417  0.4539  0.13
Badura 1965   50  0.517  0.0318  0.0811  0.482  0.628  0.55
Barbosa 1983   73  0.4288  0.0058  0.0374  0.0365  0.0485  0.03
Biret 1990   39  0.5362  0.0060  0.0452  0.0462  0.0481  0.04
Blet 2003   56  0.5075  0.0059  0.0456  0.0448  0.0668  0.05
Block 1995   12  0.6219  0.0112  0.1210  0.484  0.609  0.54
Blumental 1952   68  0.4541  0.0032  0.0634  0.1813  0.3928  0.26
Boshniakovich 1969   16  0.6117  0.0117  0.0814  0.4111  0.5611  0.48
Brailowsky 1960   49  0.5166  0.0070  0.0459  0.0437  0.1461  0.07
Bunin 1987   66  0.4651  0.0081  0.0460  0.0467  0.0479  0.04
Bunin 1987b   65  0.4671  0.0080  0.0465  0.0462  0.0474  0.04
Chiu 1999   55  0.5020  0.0143  0.0742  0.1332  0.2835  0.19
Cohen 1997   80  0.3426  0.0078  0.0385  0.0345  0.0869  0.05
Cortot 1951   48  0.5147  0.0063  0.0377  0.0330  0.2654  0.09
Csalog 1996   72  0.4323  0.0064  0.0380  0.0343  0.1264  0.06
Czerny 1949   43  0.5268  0.0033  0.0638  0.1636  0.2336  0.19
Czerny 1990   2  0.7011  0.017  0.217  0.609  0.527  0.56
Duchoud 2007   20  0.6014  0.0120  0.0716  0.4022  0.4315  0.41
Ezaki 2006   22  0.5939  0.0031  0.0730  0.2448  0.0641  0.12
Falvay 1989   19  0.6057  0.0027  0.0619  0.3629  0.2126  0.27
Farrell 1958   71  0.4336  0.0082  0.0379  0.0382  0.0383  0.03
Ferenczy 1958   78  0.3784  0.0083  0.0288  0.0256  0.0488  0.03
Fliere 1977   5  0.6915  0.015  0.144  0.6518  0.515  0.58
Fou 1978   27  0.5825  0.0015  0.078  0.4925  0.3812  0.43
Francois 1956   42  0.5253  0.0036  0.0736  0.1747  0.0556  0.09
Friedman 1923   86  0.2429  0.0084  0.0286  0.0254  0.0689  0.03
Friedman 1923b   87  0.2472  0.0085  0.0384  0.0354  0.0580  0.04
Friedman 1930   82  0.3258  0.0072  0.0467  0.0478  0.0386  0.03
Garcia 2007   83  0.3249  0.0076  0.0375  0.0320  0.4047  0.11
Garcia 2007b   81  0.3369  0.0074  0.0463  0.048  0.4838  0.14
Gierzod 1998   14  0.6244  0.0016  0.0812  0.4311  0.4113  0.42
Gornostaeva 1994   6  0.6855  0.0011  0.1013  0.4229  0.2619  0.33
Groot 1988   10  0.6363  0.0021  0.0721  0.3435  0.2127  0.27
Harasiewicz 1955   59  0.4956  0.0026  0.0732  0.2236  0.1833  0.20
Hatto 1993   75  0.3816  0.0156  0.0549  0.0541  0.1360  0.08
Hatto 1997   79  0.3580  0.0062  0.0469  0.0470  0.0387  0.03
Horowitz 1949   53  0.5122  0.0055  0.0453  0.0444  0.0766  0.05
Indjic 1988   76  0.3731  0.0057  0.0645  0.0659  0.0567  0.05
Kapell 1951   37  0.5489  0.0067  0.0461  0.0468  0.0472  0.04
Kissin 1993   7  0.674  0.094  0.255  0.646  0.583  0.61
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   23  0.5981  0.0025  0.0720  0.3527  0.3218  0.33
Lushtak 2004   58  0.4924  0.0040  0.0539  0.1643  0.1040  0.13
Malcuzynski 1961   1  0.752  0.152  0.303  0.696  0.534  0.60
Magaloff 1978   8  0.6576  0.0014  0.0922  0.3229  0.2225  0.27
Magin 1975   13  0.6210  0.018  0.129  0.497  0.5310  0.51
Michalowski 1933   74  0.4021  0.0024  0.0727  0.2823  0.3621  0.32
Milkina 1970   30  0.5777  0.0030  0.0723  0.3124  0.3320  0.32
Mohovich 1999   32  0.5645  0.0051  0.0454  0.0470  0.0478  0.04
Moravec 1969   17  0.6113  0.019  0.1215  0.4012  0.4314  0.41
Morozova 2008   11  0.635  0.046  0.136  0.633  0.516  0.57
Neighaus 1950   35  0.5690  0.0029  0.0728  0.2554  0.0644  0.12
Niedzielski 1931   69  0.4442  0.0054  0.0455  0.0424  0.2152  0.09
Ohlsson 1999   25  0.5967  0.0042  0.0737  0.1642  0.1237  0.14
Osinska 1989   28  0.5738  0.0034  0.0735  0.1830  0.2134  0.19
Pachmann 1927   84  0.3232  0.0086  0.0382  0.0368  0.0484  0.03
Paderewski 1930   47  0.5154  0.0069  0.0464  0.0451  0.0575  0.04
Perlemuter 1992   31  0.569  0.0223  0.0824  0.3022  0.3917  0.34
Pierdomenico 2008   38  0.5434  0.0038  0.0533  0.2014  0.4024  0.28
Poblocka 1999   26  0.5830  0.0041  0.0540  0.1551  0.0551  0.09
Rabcewiczowa 1932   62  0.4773  0.0071  0.0458  0.0456  0.0571  0.04
Rachmaninoff 1923   63  0.4648  0.0046  0.0646  0.0635  0.1849  0.10
Rangell 2001   33  0.5627  0.0010  0.1031  0.2233  0.2132  0.21
Richter 1976   18  0.618  0.0222  0.0725  0.3023  0.3323  0.31
Rosen 1989   15  0.6182  0.0019  0.0717  0.3720  0.3916  0.38
Rosenthal 1930   41  0.5333  0.0061  0.0471  0.0436  0.2750  0.10
Rosenthal 1931   60  0.4752  0.0068  0.0468  0.0419  0.3742  0.12
Rosenthal 1931b   70  0.4478  0.0075  0.0373  0.0325  0.2855  0.09
Rosenthal 1931c   46  0.5246  0.0049  0.0450  0.0428  0.3048  0.11
Rosenthal 1931d   67  0.4528  0.0079  0.0376  0.0323  0.2753  0.09
Rossi 2007   77  0.3786  0.0066  0.0381  0.0310  0.4146  0.11
Rubinstein 1939   85  0.2985  0.0087  0.0378  0.0361  0.0482  0.03
Rubinstein 1952   64  0.4687  0.0077  0.0383  0.0353  0.0770  0.05
Rubinstein 1966   36  0.5543  0.0037  0.0641  0.1321  0.4030  0.23
Schilhawsky 1960   61  0.4759  0.0073  0.0462  0.0459  0.0477  0.04
Shebanova 2002   3  0.693  0.143  0.222  0.803  0.661  0.73
Smith 1975   29  0.5764  0.0039  0.0543  0.1245  0.0557  0.08
Sokolov 2002   9  0.636  0.0313  0.1318  0.3634  0.2722  0.31
Sztompka 1959   34  0.5612  0.0144  0.0544  0.1052  0.0658  0.08
Tomsic 1995   21  0.5960  0.0028  0.0626  0.2828  0.2129  0.24
Uninsky 1932   52  0.5137  0.0048  0.0457  0.0438  0.1462  0.07
Uninsky 1971   51  0.5140  0.0053  0.0470  0.0454  0.0576  0.04
Wasowski 1980   45  0.5274  0.0065  0.0472  0.0426  0.2945  0.11
Zak 1937   57  0.4950  0.0052  0.0451  0.0461  0.0573  0.04
Zak 1951   54  0.5083  0.0047  0.0647  0.0652  0.0565  0.05
Random 1   89  0.0261  0.0089  0.0289  0.0220  0.2763  0.07
Random 2   90  -0.0770  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   88  0.0879  0.0088  0.0287  0.0222  0.3359  0.08

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).