Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.1981  0.0077  0.0472  0.0484  0.0381  0.03
Anderszewski 2003   70  0.2269  0.0070  0.0480  0.0464  0.0473  0.04
Ashkenazy 1981   7  0.598  0.016  0.214  0.8310  0.808  0.81
Bacha 2000   73  0.2167  0.0067  0.0659  0.0668  0.0459  0.05
Badura 1965   64  0.2682  0.0056  0.0479  0.0451  0.0574  0.04
Barbosa 1983   49  0.3448  0.0047  0.0948  0.0945  0.1051  0.09
Biret 1990   79  0.1432  0.0080  0.0481  0.0472  0.0476  0.04
Blet 2003   40  0.4053  0.0045  0.1644  0.3039  0.3344  0.31
Block 1995   20  0.5440  0.0022  0.1022  0.7211  0.6523  0.68
Blumental 1952   59  0.2870  0.0058  0.0567  0.0561  0.0566  0.05
Boshniakovich 1969   26  0.4945  0.0028  0.1524  0.7111  0.6326  0.67
Brailowsky 1960   78  0.1741  0.0075  0.0653  0.0666  0.0561  0.05
Bunin 1987   53  0.3359  0.0035  0.1139  0.4026  0.4339  0.41
Bunin 1987b   55  0.3373  0.0038  0.1040  0.3924  0.4141  0.40
Chiu 1999   4  0.6219  0.0013  0.177  0.824  0.769  0.79
Cohen 1997   66  0.2549  0.0078  0.0478  0.0481  0.0283  0.03
Cortot 1951   65  0.2583  0.0074  0.0561  0.0558  0.0568  0.05
Csalog 1996   36  0.4544  0.0039  0.1238  0.4313  0.5735  0.50
Czerny 1949   86  0.0184  0.0088  0.0290  0.0285  0.0285  0.02
Czerny 1990   18  0.559  0.017  0.226  0.824  0.863  0.84
Duchoud 2007   34  0.4726  0.0026  0.1223  0.715  0.7020  0.70
Ezaki 2006   80  0.1485  0.0079  0.0474  0.0486  0.0277  0.03
Falvay 1989   68  0.2238  0.0064  0.0658  0.0670  0.0371  0.04
Farrell 1958   71  0.2250  0.0069  0.0565  0.0546  0.0754  0.06
Ferenczy 1958   91  -0.1274  0.0091  0.0191  0.0191  0.0191  0.01
Fliere 1977   1  0.711  0.441  0.432  0.892  0.861  0.87
Fou 1978   32  0.4725  0.0034  0.1132  0.5812  0.5534  0.56
Francois 1956   82  0.1151  0.0084  0.0385  0.0381  0.0290  0.02
Friedman 1923   11  0.5816  0.0110  0.1311  0.805  0.7912  0.79
Friedman 1923b   12  0.5827  0.0011  0.1312  0.796  0.8011  0.79
Friedman 1930   5  0.613  0.054  0.248  0.814  0.835  0.82
Garcia 2007   37  0.4586  0.0023  0.1227  0.663  0.6925  0.67
Garcia 2007b   48  0.3410  0.0143  0.1243  0.3224  0.5240  0.41
Gierzod 1998   76  0.1957  0.0065  0.0657  0.0665  0.0564  0.05
Gornostaeva 1994   61  0.2828  0.0066  0.0562  0.0566  0.0475  0.04
Groot 1988   21  0.5220  0.0025  0.1225  0.6914  0.5330  0.60
Harasiewicz 1955   33  0.4733  0.0044  0.1345  0.2847  0.0745  0.14
Hatto 1993   14  0.5654  0.0017  0.1715  0.788  0.7016  0.74
Hatto 1997   57  0.3087  0.0060  0.0568  0.0557  0.0563  0.05
Horowitz 1949   27  0.4846  0.0027  0.1428  0.6610  0.7221  0.69
Indjic 1988   24  0.5075  0.0024  0.1120  0.7515  0.6322  0.69
Kapell 1951   31  0.4731  0.0030  0.1236  0.5117  0.4537  0.48
Kissin 1993   23  0.5014  0.0121  0.1618  0.768  0.7813  0.77
Kushner 1989   8  0.5915  0.0114  0.2210  0.804  0.7910  0.79
Luisada 1991   39  0.4112  0.0142  0.1141  0.3936  0.2843  0.33
Lushtak 2004   54  0.3371  0.0059  0.0569  0.0555  0.0565  0.05
Malcuzynski 1961   35  0.4676  0.0033  0.1331  0.6115  0.5831  0.59
Magaloff 1978   19  0.5447  0.0018  0.1419  0.7510  0.7218  0.73
Magin 1975   13  0.565  0.039  0.1313  0.793  0.864  0.82
Michalowski 1933   38  0.4511  0.0140  0.1235  0.5220  0.4736  0.49
Milkina 1970   83  0.0829  0.0076  0.0475  0.0466  0.0472  0.04
Mohovich 1999   52  0.3339  0.0057  0.0470  0.0455  0.0667  0.05
Moravec 1969   45  0.3588  0.0049  0.0751  0.0747  0.0553  0.06
Morozova 2008   28  0.4823  0.0019  0.1326  0.688  0.6228  0.65
Neighaus 1950   42  0.3842  0.0046  0.1046  0.1058  0.0552  0.07
Niedzielski 1931   9  0.594  0.055  0.275  0.833  0.796  0.81
Ohlsson 1999   17  0.5518  0.0016  0.1721  0.733  0.6919  0.71
Osinska 1989   46  0.3422  0.0055  0.0564  0.0553  0.0660  0.05
Pachmann 1927   6  0.6017  0.008  0.129  0.806  0.837  0.81
Paderewski 1930   29  0.4835  0.0032  0.1229  0.6511  0.6527  0.65
Perlemuter 1992   30  0.4852  0.0031  0.1133  0.5517  0.6232  0.58
Pierdomenico 2008   25  0.4930  0.0037  0.1334  0.538  0.6333  0.58
Poblocka 1999   41  0.4034  0.0036  0.1037  0.4815  0.4538  0.46
Rabcewiczowa 1932   81  0.1356  0.0085  0.0383  0.0384  0.0284  0.02
Rachmaninoff 1923   43  0.3755  0.0041  0.0942  0.3627  0.4142  0.38
Rangell 2001   60  0.2821  0.0063  0.0563  0.0546  0.0758  0.06
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   22  0.5224  0.0029  0.1430  0.6414  0.6029  0.62
Rosenthal 1930   67  0.2389  0.0072  0.0473  0.0477  0.0382  0.03
Rosenthal 1931   84  0.0860  0.0081  0.0382  0.0378  0.0380  0.03
Rosenthal 1931b   85  0.0663  0.0083  0.0286  0.0280  0.0289  0.02
Rosenthal 1931c   69  0.2261  0.0073  0.0656  0.0662  0.0469  0.05
Rosenthal 1931d   88  0.0072  0.0086  0.0384  0.0388  0.0288  0.02
Rossi 2007   72  0.2190  0.0068  0.0471  0.0419  0.3947  0.12
Rubinstein 1939   63  0.2668  0.0050  0.0752  0.0738  0.1348  0.10
Rubinstein 1952   47  0.3464  0.0054  0.0850  0.0841  0.1349  0.10
Rubinstein 1966   44  0.3643  0.0051  0.0849  0.0854  0.0556  0.06
Schilhawsky 1960   62  0.2662  0.0052  0.0654  0.0632  0.3046  0.13
Shebanova 2002   3  0.682  0.272  0.471  0.895  0.852  0.87
Smith 1975   75  0.2065  0.0082  0.0477  0.0477  0.0378  0.03
Sokolov 2002   58  0.2836  0.0062  0.0566  0.0571  0.0370  0.04
Sztompka 1959   10  0.5813  0.0115  0.2216  0.778  0.7514  0.76
Tomsic 1995   51  0.3458  0.0048  0.1047  0.1045  0.0950  0.09
Uninsky 1932   15  0.567  0.0212  0.1814  0.796  0.7315  0.76
Uninsky 1971   74  0.2177  0.0071  0.0476  0.0486  0.0279  0.03
Wasowski 1980   16  0.5537  0.0020  0.1417  0.767  0.7117  0.73
Zak 1937   50  0.3478  0.0053  0.0655  0.0647  0.0755  0.06
Zak 1951   56  0.3266  0.0061  0.0660  0.0660  0.0562  0.05
Average   2  0.696  0.023  0.333  0.8714  0.5224  0.67
Random 1   90  -0.0691  0.0090  0.0287  0.0281  0.0287  0.02
Random 2   89  -0.0479  0.0089  0.0289  0.0282  0.0286  0.02
Random 3   87  0.0180  0.0087  0.0288  0.0231  0.1757  0.06

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).