Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.7422  0.0111  0.0815  0.3715  0.3417  0.35
Anderszewski 2003   48  0.6230  0.0051  0.0451  0.0426  0.2648  0.10
Ashkenazy 1981   24  0.702  0.142  0.141  0.6010  0.462  0.53
Bacha 2000   60  0.5836  0.0072  0.0366  0.0342  0.1159  0.06
Badura 1965   55  0.606  0.0429  0.0516  0.362  0.609  0.46
Barbosa 1983   72  0.4988  0.0060  0.0459  0.0446  0.0667  0.05
Biret 1990   14  0.7343  0.0036  0.0535  0.2235  0.1640  0.19
Blet 2003   39  0.6739  0.0050  0.0452  0.0451  0.0574  0.04
Block 1995   23  0.7116  0.0128  0.0628  0.286  0.4020  0.33
Blumental 1952   76  0.4224  0.0147  0.0456  0.0454  0.0477  0.04
Boshniakovich 1969   30  0.6946  0.0027  0.0736  0.2115  0.3333  0.26
Brailowsky 1960   40  0.6689  0.0058  0.0454  0.0432  0.2251  0.09
Bunin 1987   67  0.5484  0.0079  0.0457  0.0448  0.0579  0.04
Bunin 1987b   66  0.5485  0.0078  0.0463  0.0449  0.0571  0.04
Chiu 1999   69  0.5155  0.0048  0.0458  0.0438  0.1356  0.07
Cohen 1997   81  0.3421  0.0181  0.0283  0.0240  0.1269  0.05
Cortot 1951   38  0.6720  0.0139  0.0642  0.1525  0.3137  0.22
Csalog 1996   73  0.4937  0.0063  0.0373  0.0351  0.0673  0.04
Czerny 1949   36  0.6841  0.0010  0.0823  0.3227  0.2725  0.29
Czerny 1990   3  0.821  0.151  0.154  0.497  0.475  0.48
Duchoud 2007   19  0.7228  0.0030  0.0620  0.3327  0.3122  0.32
Ezaki 2006   10  0.7432  0.0026  0.0913  0.3732  0.1831  0.26
Falvay 1989   21  0.7156  0.0041  0.0834  0.2237  0.1442  0.18
Farrell 1958   51  0.6144  0.0076  0.0372  0.0361  0.0482  0.03
Ferenczy 1958   71  0.5077  0.0083  0.0378  0.0354  0.0485  0.03
Fliere 1977   4  0.829  0.034  0.103  0.525  0.454  0.48
Fou 1978   45  0.6331  0.0034  0.0730  0.2419  0.3923  0.31
Francois 1956   37  0.6751  0.0015  0.0725  0.3023  0.2727  0.28
Friedman 1923   86  0.1781  0.0086  0.0285  0.0252  0.0688  0.03
Friedman 1923b   87  0.1780  0.0087  0.0282  0.0272  0.0486  0.03
Friedman 1930   83  0.3274  0.0069  0.0380  0.0345  0.0675  0.04
Garcia 2007   75  0.4358  0.0077  0.0368  0.0332  0.2154  0.08
Garcia 2007b   85  0.2560  0.0082  0.0284  0.0224  0.2062  0.06
Gierzod 1998   13  0.7357  0.0032  0.0524  0.3021  0.2232  0.26
Gornostaeva 1994   2  0.8414  0.025  0.098  0.439  0.3912  0.41
Groot 1988   16  0.7283  0.0042  0.0640  0.1639  0.1345  0.14
Harasiewicz 1955   63  0.5512  0.0322  0.0627  0.2818  0.3324  0.30
Hatto 1993   80  0.3629  0.0067  0.0376  0.0338  0.1361  0.06
Hatto 1997   78  0.4078  0.0070  0.0377  0.0358  0.0384  0.03
Horowitz 1949   62  0.5854  0.0055  0.0548  0.0541  0.1158  0.07
Indjic 1988   79  0.3763  0.0068  0.0375  0.0340  0.1066  0.05
Kapell 1951   47  0.6367  0.0064  0.0371  0.0349  0.0570  0.04
Kissin 1993   9  0.7511  0.036  0.115  0.486  0.563  0.52
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   25  0.7019  0.0133  0.0617  0.3610  0.4214  0.39
Lushtak 2004   68  0.5225  0.0157  0.0453  0.0452  0.0576  0.04
Malcuzynski 1961   1  0.843  0.113  0.152  0.588  0.501  0.54
Magaloff 1978   8  0.7633  0.0021  0.0618  0.3322  0.3519  0.34
Magin 1975   18  0.725  0.067  0.097  0.452  0.496  0.47
Michalowski 1933   77  0.4123  0.0117  0.0932  0.2335  0.2734  0.25
Milkina 1970   11  0.7427  0.0019  0.0712  0.3914  0.4113  0.40
Mohovich 1999   31  0.6864  0.0052  0.0550  0.0552  0.0478  0.04
Moravec 1969   22  0.718  0.0314  0.1119  0.339  0.5011  0.41
Morozova 2008   28  0.6917  0.019  0.086  0.472  0.477  0.47
Neighaus 1950   34  0.6886  0.0020  0.0621  0.3233  0.2230  0.27
Niedzielski 1931   70  0.5161  0.0075  0.0462  0.0439  0.1257  0.07
Ohlsson 1999   29  0.6971  0.0035  0.0738  0.1826  0.2339  0.20
Osinska 1989   6  0.7810  0.0313  0.0922  0.3215  0.3718  0.34
Pachmann 1927   82  0.3459  0.0084  0.0286  0.0268  0.0389  0.02
Paderewski 1930   53  0.6175  0.0074  0.0465  0.0454  0.0472  0.04
Perlemuter 1992   44  0.6418  0.0144  0.0743  0.1426  0.2441  0.18
Pierdomenico 2008   17  0.7266  0.0025  0.0926  0.297  0.4216  0.35
Poblocka 1999   35  0.6834  0.0056  0.0461  0.0473  0.0380  0.03
Rabcewiczowa 1932   42  0.6490  0.0038  0.0544  0.1237  0.1643  0.14
Rachmaninoff 1923   58  0.5882  0.0040  0.0639  0.1725  0.2438  0.20
Rangell 2001   32  0.684  0.068  0.0929  0.2516  0.2929  0.27
Richter 1976   43  0.6413  0.0245  0.0645  0.0623  0.2347  0.12
Rosen 1989   5  0.7842  0.0012  0.099  0.428  0.5110  0.46
Rosenthal 1930   26  0.7045  0.0043  0.0837  0.1916  0.4326  0.29
Rosenthal 1931   46  0.6365  0.0054  0.0547  0.0518  0.3844  0.14
Rosenthal 1931b   61  0.5887  0.0065  0.0369  0.0321  0.3250  0.10
Rosenthal 1931c   33  0.6862  0.0037  0.0541  0.1613  0.4035  0.25
Rosenthal 1931d   49  0.6253  0.0073  0.0367  0.0324  0.2753  0.09
Rossi 2007   74  0.4879  0.0023  0.0631  0.232  0.4521  0.32
Rubinstein 1939   84  0.3172  0.0088  0.0287  0.0247  0.0581  0.03
Rubinstein 1952   64  0.5549  0.0080  0.0381  0.0363  0.0487  0.03
Rubinstein 1966   50  0.6252  0.0061  0.0460  0.0428  0.2649  0.10
Schilhawsky 1960   54  0.6068  0.0062  0.0464  0.0449  0.0668  0.05
Shebanova 2002   20  0.727  0.0418  0.1010  0.403  0.568  0.47
Smith 1975   15  0.7347  0.0024  0.0814  0.3736  0.1928  0.27
Sokolov 2002   7  0.7615  0.0116  0.0811  0.3926  0.3515  0.37
Sztompka 1959   52  0.6126  0.0159  0.0374  0.0347  0.0765  0.05
Tomsic 1995   27  0.6948  0.0031  0.0533  0.2226  0.2736  0.24
Uninsky 1932   65  0.5535  0.0066  0.0379  0.0341  0.1360  0.06
Uninsky 1971   57  0.5838  0.0071  0.0370  0.0359  0.0483  0.03
Wasowski 1980   41  0.6569  0.0053  0.0549  0.059  0.3546  0.13
Zak 1937   59  0.5840  0.0049  0.0455  0.0448  0.0663  0.05
Zak 1951   56  0.5950  0.0046  0.0646  0.0648  0.0564  0.05
Random 1   89  0.0470  0.0089  0.0289  0.0218  0.3255  0.08
Random 2   90  -0.1476  0.0090  0.0190  0.0177  0.0290  0.01
Random 3   88  0.1673  0.0085  0.0288  0.0214  0.4052  0.09

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).