Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7423  0.0112  0.0816  0.3716  0.3418  0.35
Anderszewski 2003   49  0.6230  0.0052  0.0452  0.0427  0.2649  0.10
Ashkenazy 1981   25  0.702  0.102  0.102  0.6011  0.462  0.53
Bacha 2000   61  0.5835  0.0073  0.0367  0.0343  0.1160  0.06
Badura 1965   56  0.607  0.0430  0.0517  0.362  0.609  0.46
Barbosa 1983   73  0.4989  0.0061  0.0460  0.0447  0.0668  0.05
Biret 1990   15  0.7343  0.0037  0.0536  0.2236  0.1641  0.19
Blet 2003   40  0.6741  0.0051  0.0453  0.0452  0.0575  0.04
Block 1995   24  0.7117  0.0129  0.0629  0.286  0.4021  0.33
Blumental 1952   77  0.4225  0.0148  0.0457  0.0455  0.0478  0.04
Boshniakovich 1969   31  0.6946  0.0028  0.0737  0.2116  0.3334  0.26
Brailowsky 1960   41  0.6690  0.0059  0.0455  0.0433  0.2252  0.09
Bunin 1987   68  0.5485  0.0080  0.0458  0.0449  0.0580  0.04
Bunin 1987b   67  0.5486  0.0079  0.0464  0.0450  0.0572  0.04
Chiu 1999   70  0.5157  0.0049  0.0459  0.0439  0.1357  0.07
Cohen 1997   82  0.3422  0.0182  0.0284  0.0241  0.1270  0.05
Cortot 1951   39  0.6721  0.0140  0.0643  0.1526  0.3138  0.22
Csalog 1996   74  0.4937  0.0064  0.0374  0.0352  0.0674  0.04
Czerny 1949   37  0.6840  0.0011  0.0824  0.3228  0.2726  0.29
Czerny 1990   4  0.821  0.151  0.145  0.498  0.475  0.48
Duchoud 2007   20  0.7228  0.0031  0.0621  0.3328  0.3123  0.32
Ezaki 2006   11  0.7432  0.0027  0.0914  0.3733  0.1832  0.26
Falvay 1989   22  0.7154  0.0042  0.0835  0.2238  0.1443  0.18
Farrell 1958   52  0.6145  0.0077  0.0373  0.0362  0.0483  0.03
Ferenczy 1958   72  0.5078  0.0084  0.0379  0.0355  0.0486  0.03
Fliere 1977   5  0.8212  0.035  0.104  0.526  0.454  0.48
Fou 1978   46  0.6331  0.0035  0.0731  0.2420  0.3924  0.31
Francois 1956   38  0.6751  0.0016  0.0726  0.3024  0.2728  0.28
Friedman 1923   87  0.1782  0.0087  0.0286  0.0253  0.0689  0.03
Friedman 1923b   88  0.1781  0.0088  0.0283  0.0273  0.0487  0.03
Friedman 1930   84  0.3275  0.0070  0.0381  0.0346  0.0676  0.04
Garcia 2007   76  0.4359  0.0078  0.0369  0.0333  0.2155  0.08
Garcia 2007b   86  0.2561  0.0083  0.0285  0.0224  0.2063  0.06
Gierzod 1998   14  0.7356  0.0033  0.0525  0.3022  0.2233  0.26
Gornostaeva 1994   3  0.8415  0.026  0.099  0.4310  0.3913  0.41
Groot 1988   17  0.7284  0.0043  0.0641  0.1640  0.1346  0.14
Harasiewicz 1955   64  0.5513  0.0323  0.0628  0.2819  0.3325  0.30
Hatto 1993   81  0.3629  0.0068  0.0377  0.0339  0.1362  0.06
Hatto 1997   79  0.4079  0.0071  0.0378  0.0359  0.0385  0.03
Horowitz 1949   63  0.5855  0.0056  0.0549  0.0542  0.1159  0.07
Indjic 1988   80  0.3763  0.0069  0.0376  0.0341  0.1067  0.05
Kapell 1951   48  0.6371  0.0065  0.0372  0.0350  0.0571  0.04
Kissin 1993   10  0.7511  0.037  0.116  0.486  0.563  0.52
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   26  0.7020  0.0134  0.0618  0.3611  0.4215  0.39
Lushtak 2004   69  0.5242  0.0058  0.0454  0.0453  0.0577  0.04
Malcuzynski 1961   2  0.843  0.094  0.153  0.589  0.501  0.54
Magaloff 1978   9  0.7633  0.0022  0.0619  0.3323  0.3520  0.34
Magin 1975   19  0.725  0.068  0.098  0.452  0.496  0.47
Michalowski 1933   78  0.4124  0.0118  0.0933  0.2336  0.2735  0.25
Milkina 1970   12  0.7427  0.0020  0.0713  0.3915  0.4114  0.40
Mohovich 1999   32  0.6864  0.0053  0.0551  0.0553  0.0479  0.04
Moravec 1969   23  0.719  0.0315  0.1120  0.339  0.5012  0.41
Morozova 2008   29  0.6918  0.0110  0.087  0.473  0.477  0.47
Neighaus 1950   35  0.6887  0.0021  0.0622  0.3234  0.2231  0.27
Niedzielski 1931   71  0.5162  0.0076  0.0463  0.0440  0.1258  0.07
Ohlsson 1999   30  0.6972  0.0036  0.0739  0.1827  0.2340  0.20
Osinska 1989   7  0.7810  0.0314  0.0923  0.3216  0.3719  0.34
Pachmann 1927   83  0.3460  0.0085  0.0287  0.0269  0.0390  0.02
Paderewski 1930   54  0.6176  0.0075  0.0466  0.0455  0.0473  0.04
Perlemuter 1992   45  0.6419  0.0145  0.0744  0.1427  0.2442  0.18
Pierdomenico 2008   18  0.7267  0.0026  0.0927  0.298  0.4217  0.35
Poblocka 1999   36  0.6836  0.0057  0.0462  0.0474  0.0381  0.03
Rabcewiczowa 1932   43  0.6491  0.0039  0.0545  0.1238  0.1644  0.14
Rachmaninoff 1923   59  0.5883  0.0041  0.0640  0.1726  0.2439  0.20
Rangell 2001   33  0.686  0.069  0.0930  0.2517  0.2930  0.27
Richter 1976   44  0.6414  0.0246  0.0646  0.0624  0.2348  0.12
Rosen 1989   6  0.7850  0.0013  0.0810  0.429  0.5110  0.46
Rosenthal 1930   27  0.7044  0.0044  0.0838  0.1917  0.4327  0.29
Rosenthal 1931   47  0.6365  0.0055  0.0548  0.0519  0.3845  0.14
Rosenthal 1931b   62  0.5888  0.0066  0.0370  0.0322  0.3251  0.10
Rosenthal 1931c   34  0.6866  0.0038  0.0542  0.1614  0.4036  0.25
Rosenthal 1931d   50  0.6253  0.0074  0.0368  0.0325  0.2754  0.09
Rossi 2007   75  0.4880  0.0024  0.0632  0.232  0.4522  0.32
Rubinstein 1939   85  0.3173  0.0089  0.0288  0.0248  0.0582  0.03
Rubinstein 1952   65  0.5558  0.0081  0.0382  0.0364  0.0488  0.03
Rubinstein 1966   51  0.6252  0.0062  0.0461  0.0429  0.2650  0.10
Schilhawsky 1960   55  0.6068  0.0063  0.0465  0.0450  0.0669  0.05
Shebanova 2002   21  0.728  0.0319  0.1011  0.403  0.568  0.47
Smith 1975   16  0.7348  0.0025  0.0815  0.3737  0.1929  0.27
Sokolov 2002   8  0.7616  0.0117  0.0812  0.3927  0.3516  0.37
Sztompka 1959   53  0.6126  0.0160  0.0375  0.0348  0.0766  0.05
Tomsic 1995   28  0.6947  0.0032  0.0534  0.2227  0.2737  0.24
Uninsky 1932   66  0.5534  0.0067  0.0380  0.0342  0.1361  0.06
Uninsky 1971   58  0.5838  0.0072  0.0371  0.0360  0.0484  0.03
Wasowski 1980   42  0.6569  0.0054  0.0550  0.0510  0.3547  0.13
Zak 1937   60  0.5839  0.0050  0.0456  0.0449  0.0664  0.05
Zak 1951   57  0.5949  0.0047  0.0647  0.0649  0.0565  0.05
Average   1  0.864  0.093  0.121  0.6222  0.3111  0.44
Random 1   90  0.0470  0.0090  0.0290  0.0218  0.3556  0.08
Random 2   91  -0.1477  0.0091  0.0191  0.0163  0.0391  0.02
Random 3   89  0.1674  0.0086  0.0289  0.0214  0.4053  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).