Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7768  0.0018  0.1120  0.4041  0.1929  0.28
Anderszewski 2003   21  0.7415  0.0125  0.0826  0.3117  0.3027  0.30
Ashkenazy 1981   40  0.6824  0.0027  0.0628  0.3030  0.2335  0.26
Bacha 2000   61  0.6170  0.0048  0.0467  0.0428  0.1654  0.08
Badura 1965   53  0.6347  0.0065  0.0553  0.0539  0.2346  0.11
Barbosa 1983   82  0.5066  0.0050  0.0464  0.0424  0.2250  0.09
Biret 1990   23  0.7311  0.0212  0.153  0.557  0.536  0.54
Blet 2003   28  0.7186  0.0034  0.0433  0.2120  0.3432  0.27
Block 1995   71  0.5837  0.0057  0.0557  0.0527  0.1852  0.09
Blumental 1952   57  0.6255  0.0042  0.0544  0.1167  0.0461  0.07
Boshniakovich 1969   34  0.6944  0.0047  0.0746  0.0749  0.0666  0.06
Brailowsky 1960   48  0.6671  0.0062  0.0466  0.0435  0.2149  0.09
Bunin 1987   85  0.4479  0.0085  0.0383  0.0347  0.0772  0.05
Bunin 1987b   86  0.4257  0.0084  0.0384  0.0351  0.0678  0.04
Chiu 1999   64  0.6048  0.0038  0.0640  0.1233  0.2141  0.16
Cohen 1997   87  0.4059  0.0086  0.0382  0.0339  0.1662  0.07
Cortot 1951   69  0.5867  0.0079  0.0555  0.0582  0.0384  0.04
Csalog 1996   70  0.5836  0.0031  0.0443  0.119  0.4238  0.21
Czerny 1949   38  0.6946  0.0055  0.0556  0.0548  0.0671  0.05
Czerny 1990   3  0.8030  0.0017  0.1212  0.4818  0.3416  0.40
Duchoud 2007   78  0.5558  0.0067  0.0562  0.0540  0.1357  0.08
Ezaki 2006   36  0.6952  0.0059  0.0469  0.0455  0.0475  0.04
Falvay 1989   51  0.6416  0.0156  0.0558  0.0510  0.5242  0.16
Farrell 1958   39  0.6825  0.0029  0.0624  0.3313  0.4815  0.40
Ferenczy 1958   67  0.5972  0.0078  0.0471  0.0461  0.0483  0.04
Fliere 1977   4  0.8053  0.0016  0.1018  0.4331  0.2125  0.30
Fou 1978   17  0.753  0.133  0.158  0.531  0.602  0.56
Francois 1956   12  0.765  0.069  0.1213  0.474  0.569  0.51
Friedman 1923   58  0.6173  0.0076  0.0379  0.0351  0.0685  0.04
Friedman 1923b   60  0.6182  0.0075  0.0381  0.0367  0.0489  0.03
Friedman 1930   56  0.6261  0.0077  0.0376  0.0351  0.0682  0.04
Garcia 2007   33  0.6960  0.0036  0.0629  0.3023  0.3523  0.32
Garcia 2007b   45  0.6638  0.0037  0.0831  0.2429  0.3033  0.27
Gierzod 1998   5  0.7845  0.0019  0.1217  0.4327  0.2819  0.35
Gornostaeva 1994   35  0.6965  0.0049  0.0551  0.0523  0.2347  0.11
Groot 1988   59  0.6140  0.0032  0.0436  0.1620  0.3736  0.24
Harasiewicz 1955   41  0.6814  0.0146  0.0554  0.0564  0.0574  0.05
Hatto 1993   52  0.6483  0.0054  0.0647  0.0662  0.0573  0.05
Hatto 1997   47  0.6675  0.0053  0.0845  0.0846  0.0760  0.07
Horowitz 1949   79  0.5563  0.0080  0.0378  0.0359  0.0579  0.04
Indjic 1988   46  0.6669  0.0052  0.0649  0.0645  0.0763  0.06
Kapell 1951   25  0.7339  0.0013  0.1315  0.4720  0.2320  0.33
Kissin 1993   11  0.7618  0.0121  0.1021  0.3827  0.2624  0.31
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   20  0.7426  0.0015  0.1019  0.4023  0.2621  0.32
Lushtak 2004   16  0.766  0.065  0.194  0.551  0.544  0.54
Malcuzynski 1961   83  0.5076  0.0083  0.0285  0.0265  0.0487  0.03
Magaloff 1978   55  0.6387  0.0066  0.0465  0.0449  0.0767  0.05
Magin 1975   24  0.7312  0.0210  0.1414  0.4711  0.4611  0.46
Michalowski 1933   43  0.6781  0.0058  0.0473  0.0436  0.1856  0.08
Milkina 1970   9  0.7743  0.0024  0.0925  0.3318  0.4018  0.36
Mohovich 1999   14  0.7610  0.026  0.126  0.538  0.555  0.54
Moravec 1969   80  0.5164  0.0081  0.0286  0.0262  0.0486  0.03
Morozova 2008   10  0.764  0.074  0.159  0.525  0.528  0.52
Neighaus 1950   26  0.7177  0.0030  0.0532  0.2139  0.1340  0.17
Niedzielski 1931   49  0.6580  0.0063  0.0470  0.0456  0.0477  0.04
Ohlsson 1999   13  0.7617  0.0114  0.147  0.5315  0.4012  0.46
Osinska 1989   15  0.7619  0.0120  0.1311  0.4822  0.3614  0.42
Pachmann 1927   29  0.7178  0.0040  0.0637  0.156  0.4634  0.26
Paderewski 1930   31  0.7054  0.0035  0.0530  0.293  0.5317  0.39
Perlemuter 1992   19  0.7531  0.0011  0.1210  0.507  0.4710  0.48
Pierdomenico 2008   62  0.6127  0.0033  0.0734  0.193  0.5522  0.32
Poblocka 1999   27  0.718  0.0328  0.0527  0.3031  0.2531  0.27
Rabcewiczowa 1932   7  0.777  0.038  0.155  0.551  0.591  0.57
Rachmaninoff 1923   37  0.6988  0.0039  0.0535  0.1755  0.0455  0.08
Rangell 2001   75  0.5713  0.0226  0.0638  0.141  0.5730  0.28
Richter 1976   84  0.4956  0.0082  0.0287  0.0248  0.0780  0.04
Rosen 1989   8  0.779  0.037  0.1116  0.4712  0.4613  0.46
Rosenthal 1930   66  0.5984  0.0070  0.0475  0.0442  0.0965  0.06
Rosenthal 1931   73  0.5742  0.0074  0.0559  0.0533  0.1751  0.09
Rosenthal 1931b   72  0.5823  0.0073  0.0563  0.0534  0.1753  0.09
Rosenthal 1931c   77  0.5649  0.0071  0.0377  0.0329  0.2359  0.08
Rosenthal 1931d   74  0.5734  0.0072  0.0380  0.0331  0.1958  0.08
Rossi 2007   81  0.5035  0.0087  0.0474  0.0458  0.0576  0.04
Rubinstein 1939   63  0.6074  0.0069  0.0552  0.0551  0.0568  0.05
Rubinstein 1952   76  0.5729  0.0051  0.0550  0.0512  0.4943  0.16
Rubinstein 1966   30  0.7022  0.0144  0.0642  0.1113  0.4637  0.22
Schilhawsky 1960   44  0.6650  0.0060  0.0560  0.0557  0.0569  0.05
Shebanova 2002   1  0.831  0.221  0.221  0.6210  0.457  0.53
Smith 1975   32  0.7020  0.0143  0.0541  0.1229  0.2044  0.15
Sokolov 2002   50  0.6432  0.0041  0.0639  0.1421  0.2839  0.20
Sztompka 1959   2  0.812  0.142  0.272  0.607  0.503  0.55
Tomsic 1995   65  0.6033  0.0061  0.0472  0.0412  0.5245  0.14
Uninsky 1932   54  0.6341  0.0064  0.0468  0.0449  0.0770  0.05
Uninsky 1971   68  0.5962  0.0068  0.0561  0.0567  0.0481  0.04
Wasowski 1980   42  0.6751  0.0045  0.0648  0.0638  0.1348  0.09
Zak 1937   18  0.7521  0.0123  0.0923  0.3527  0.2228  0.28
Zak 1951   22  0.7428  0.0022  0.1022  0.3724  0.2526  0.30
Random 1   90  -0.2889  0.0090  0.0190  0.0182  0.0290  0.01
Random 2   88  -0.1090  0.0088  0.0288  0.0226  0.2164  0.06
Random 3   89  -0.1885  0.0089  0.0289  0.0246  0.0688  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).