Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.6234  0.0049  0.0655  0.0646  0.0869  0.07
Anderszewski 2003   11  0.6821  0.0018  0.1619  0.569  0.5721  0.56
Ashkenazy 1981   43  0.5935  0.0050  0.0748  0.0729  0.2753  0.14
Bacha 2000   67  0.5263  0.0058  0.0465  0.0428  0.2462  0.10
Badura 1965   54  0.5559  0.0055  0.0560  0.0533  0.3356  0.13
Barbosa 1983   57  0.5522  0.0044  0.0543  0.1322  0.4738  0.25
Biret 1990   13  0.6816  0.007  0.125  0.654  0.648  0.64
Blet 2003   55  0.5586  0.0064  0.0466  0.0427  0.2959  0.11
Block 1995   70  0.5077  0.0056  0.0654  0.0629  0.2458  0.12
Blumental 1952   49  0.5642  0.0053  0.1045  0.1073  0.0473  0.06
Boshniakovich 1969   23  0.6638  0.0024  0.1426  0.5017  0.5425  0.52
Brailowsky 1960   61  0.5357  0.0070  0.0558  0.0531  0.3254  0.13
Bunin 1987   84  0.4582  0.0079  0.0374  0.0339  0.2068  0.08
Bunin 1987b   85  0.4350  0.0080  0.0381  0.0340  0.1965  0.08
Chiu 1999   62  0.5264  0.0062  0.0373  0.0347  0.0775  0.05
Cohen 1997   88  0.4239  0.0082  0.0379  0.0313  0.4160  0.11
Cortot 1951   87  0.4247  0.0072  0.0375  0.0347  0.0684  0.04
Csalog 1996   53  0.5624  0.0043  0.0642  0.1311  0.4939  0.25
Czerny 1949   27  0.6460  0.0031  0.1128  0.4234  0.3830  0.40
Czerny 1990   9  0.7132  0.0017  0.1813  0.5913  0.5916  0.59
Duchoud 2007   76  0.4954  0.0068  0.0468  0.0416  0.3757  0.12
Ezaki 2006   32  0.6323  0.0042  0.0744  0.1337  0.2147  0.17
Falvay 1989   16  0.6711  0.0126  0.1423  0.522  0.6913  0.60
Farrell 1958   28  0.646  0.0220  0.1914  0.584  0.6411  0.61
Ferenczy 1958   79  0.4787  0.0083  0.0470  0.0462  0.0386  0.03
Fliere 1977   8  0.7133  0.0013  0.1111  0.6126  0.3428  0.46
Fou 1978   20  0.6745  0.0014  0.1215  0.585  0.6115  0.59
Francois 1956   40  0.6088  0.0032  0.0832  0.3210  0.5929  0.43
Friedman 1923   72  0.5089  0.0076  0.0384  0.0362  0.0585  0.04
Friedman 1923b   74  0.5058  0.0074  0.0288  0.0260  0.0588  0.03
Friedman 1930   69  0.5151  0.0073  0.0382  0.0354  0.0683  0.04
Garcia 2007   51  0.5643  0.0045  0.0546  0.109  0.5342  0.23
Garcia 2007b   52  0.5628  0.0036  0.0834  0.2814  0.5133  0.38
Gierzod 1998   4  0.7115  0.0015  0.117  0.6423  0.5217  0.58
Gornostaeva 1994   34  0.6240  0.0038  0.0839  0.2313  0.5635  0.36
Groot 1988   60  0.5378  0.0037  0.0641  0.1322  0.3245  0.20
Harasiewicz 1955   29  0.6420  0.0028  0.1229  0.4133  0.3136  0.36
Hatto 1993   42  0.5972  0.0041  0.0640  0.2139  0.2046  0.20
Hatto 1997   39  0.6068  0.0040  0.1035  0.2738  0.1644  0.21
Horowitz 1949   86  0.4330  0.0088  0.0467  0.0463  0.0676  0.05
Indjic 1988   38  0.6090  0.0039  0.0736  0.2734  0.2240  0.24
Kapell 1951   19  0.674  0.035  0.1220  0.555  0.5720  0.56
Kissin 1993   21  0.6713  0.0127  0.1427  0.4828  0.4727  0.47
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   31  0.6344  0.0033  0.0738  0.2325  0.3337  0.28
Lushtak 2004   18  0.679  0.016  0.126  0.652  0.762  0.70
Malcuzynski 1961   63  0.5248  0.0067  0.0464  0.0463  0.0482  0.04
Magaloff 1978   50  0.5661  0.0061  0.0471  0.0435  0.1964  0.09
Magin 1975   22  0.662  0.063  0.1422  0.5314  0.5223  0.52
Michalowski 1933   65  0.5283  0.0066  0.0463  0.0420  0.4155  0.13
Milkina 1970   6  0.7118  0.009  0.114  0.679  0.636  0.65
Mohovich 1999   24  0.6552  0.0025  0.1424  0.5213  0.6319  0.57
Moravec 1969   71  0.5065  0.0077  0.0378  0.0344  0.1371  0.06
Morozova 2008   17  0.6717  0.0011  0.1110  0.623  0.677  0.64
Neighaus 1950   46  0.5870  0.0057  0.0557  0.0564  0.0580  0.05
Niedzielski 1931   77  0.4879  0.0075  0.0286  0.0272  0.0389  0.02
Ohlsson 1999   10  0.6914  0.0019  0.1518  0.574  0.6612  0.61
Osinska 1989   3  0.713  0.062  0.343  0.698  0.644  0.66
Pachmann 1927   59  0.5469  0.0069  0.0556  0.053  0.5948  0.17
Paderewski 1930   73  0.5062  0.0063  0.0469  0.047  0.5752  0.15
Perlemuter 1992   35  0.6273  0.0035  0.0837  0.259  0.5732  0.38
Pierdomenico 2008   58  0.5466  0.0051  0.0749  0.073  0.6243  0.21
Poblocka 1999   26  0.6531  0.0030  0.1030  0.3732  0.4131  0.39
Rabcewiczowa 1932   25  0.658  0.0112  0.099  0.632  0.705  0.66
Rachmaninoff 1923   64  0.5274  0.0054  0.0653  0.0683  0.0381  0.04
Rangell 2001   45  0.587  0.0129  0.1031  0.322  0.7126  0.48
Richter 1976   68  0.5227  0.0071  0.0376  0.0340  0.2366  0.08
Rosen 1989   12  0.6812  0.018  0.1121  0.5411  0.5822  0.56
Rosenthal 1930   81  0.4675  0.0086  0.0287  0.0257  0.0487  0.03
Rosenthal 1931   80  0.4753  0.0085  0.0380  0.0337  0.2267  0.08
Rosenthal 1931b   78  0.4871  0.0084  0.0383  0.0326  0.3163  0.10
Rosenthal 1931c   75  0.5067  0.0078  0.0472  0.0431  0.2961  0.11
Rosenthal 1931d   83  0.4576  0.0087  0.0377  0.0341  0.1870  0.07
Rossi 2007   82  0.4629  0.0081  0.0285  0.0243  0.1374  0.05
Rubinstein 1939   41  0.6055  0.0046  0.0559  0.059  0.4949  0.16
Rubinstein 1952   30  0.6326  0.0023  0.1317  0.584  0.6710  0.62
Rubinstein 1966   5  0.7110  0.0116  0.142  0.705  0.673  0.68
Schilhawsky 1960   47  0.5736  0.0059  0.0562  0.0552  0.0677  0.05
Shebanova 2002   2  0.725  0.034  0.128  0.638  0.5714  0.60
Smith 1975   37  0.6119  0.0047  0.0651  0.0615  0.4051  0.15
Sokolov 2002   44  0.5937  0.0048  0.0652  0.0620  0.4050  0.15
Sztompka 1959   7  0.7149  0.0010  0.1412  0.606  0.649  0.62
Tomsic 1995   48  0.5725  0.0052  0.0947  0.099  0.5941  0.23
Uninsky 1932   66  0.5284  0.0065  0.0561  0.0556  0.0578  0.05
Uninsky 1971   56  0.5580  0.0060  0.0650  0.0653  0.0672  0.06
Wasowski 1980   36  0.6246  0.0034  0.0633  0.3118  0.4534  0.37
Zak 1937   15  0.6881  0.0022  0.1325  0.5213  0.5324  0.52
Zak 1951   14  0.6841  0.0021  0.1716  0.5810  0.5618  0.57
Average   1  0.821  0.671  0.671  0.899  0.611  0.74
Random 1   90  -0.0656  0.0089  0.0289  0.0237  0.1479  0.05
Random 2   89  -0.0691  0.0090  0.0190  0.0171  0.0390  0.02
Random 3   91  -0.1185  0.0091  0.0191  0.0176  0.0491  0.02

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).