Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.1980  0.0076  0.0471  0.0483  0.0380  0.03
Anderszewski 2003   69  0.2268  0.0069  0.0479  0.0463  0.0472  0.04
Ashkenazy 1981   6  0.597  0.015  0.213  0.839  0.808  0.81
Bacha 2000   72  0.2166  0.0066  0.0658  0.0667  0.0459  0.05
Badura 1965   63  0.2681  0.0055  0.0478  0.0450  0.0573  0.04
Barbosa 1983   48  0.3448  0.0046  0.0947  0.0944  0.1050  0.09
Biret 1990   78  0.1432  0.0079  0.0480  0.0471  0.0475  0.04
Blet 2003   39  0.4053  0.0044  0.1643  0.3038  0.3343  0.31
Block 1995   19  0.5440  0.0021  0.1021  0.7210  0.6523  0.68
Blumental 1952   58  0.2869  0.0057  0.0566  0.0560  0.0565  0.05
Boshniakovich 1969   25  0.4941  0.0027  0.1523  0.7110  0.6325  0.67
Brailowsky 1960   77  0.1742  0.0074  0.0752  0.0765  0.0553  0.06
Bunin 1987   52  0.3359  0.0034  0.1138  0.4025  0.4338  0.41
Bunin 1987b   54  0.3372  0.0037  0.1039  0.3923  0.4140  0.40
Chiu 1999   3  0.6219  0.0012  0.176  0.823  0.769  0.79
Cohen 1997   65  0.2549  0.0077  0.0477  0.0480  0.0282  0.03
Cortot 1951   64  0.2582  0.0073  0.0560  0.0557  0.0567  0.05
Csalog 1996   35  0.4545  0.0038  0.1237  0.4312  0.5734  0.50
Czerny 1949   85  0.0183  0.0087  0.0289  0.0284  0.0284  0.02
Czerny 1990   17  0.558  0.016  0.235  0.824  0.863  0.84
Duchoud 2007   33  0.4725  0.0025  0.1222  0.714  0.7020  0.70
Ezaki 2006   79  0.1484  0.0078  0.0473  0.0485  0.0276  0.03
Falvay 1989   67  0.2238  0.0063  0.0657  0.0669  0.0370  0.04
Farrell 1958   70  0.2250  0.0068  0.0564  0.0545  0.0854  0.06
Ferenczy 1958   90  -0.1273  0.0090  0.0190  0.0190  0.0190  0.01
Fliere 1977   1  0.711  0.441  0.442  0.891  0.861  0.87
Fou 1978   31  0.4718  0.0033  0.1131  0.5811  0.5533  0.56
Francois 1956   81  0.1151  0.0083  0.0384  0.0380  0.0289  0.02
Friedman 1923   10  0.5815  0.019  0.1310  0.804  0.7912  0.79
Friedman 1923b   11  0.5827  0.0010  0.1311  0.795  0.8011  0.79
Friedman 1930   4  0.613  0.053  0.247  0.813  0.835  0.82
Garcia 2007   36  0.4585  0.0022  0.1226  0.662  0.6924  0.67
Garcia 2007b   47  0.349  0.0142  0.1242  0.3223  0.5239  0.41
Gierzod 1998   75  0.1957  0.0064  0.0656  0.0664  0.0563  0.05
Gornostaeva 1994   60  0.2828  0.0065  0.0561  0.0565  0.0474  0.04
Groot 1988   20  0.5220  0.0024  0.1224  0.6913  0.5329  0.60
Harasiewicz 1955   32  0.4733  0.0043  0.1344  0.2846  0.0745  0.14
Hatto 1993   13  0.5654  0.0016  0.1814  0.787  0.7016  0.74
Hatto 1997   56  0.3086  0.0059  0.0567  0.0556  0.0562  0.05
Horowitz 1949   26  0.4846  0.0026  0.1427  0.669  0.7221  0.69
Indjic 1988   23  0.5074  0.0023  0.1119  0.7514  0.6322  0.69
Kapell 1951   30  0.4731  0.0029  0.1235  0.5116  0.4536  0.48
Kissin 1993   22  0.5014  0.0120  0.1617  0.767  0.7813  0.77
Kushner 1989   7  0.5913  0.0113  0.239  0.803  0.7910  0.79
Luisada 1991   38  0.4111  0.0141  0.1140  0.3935  0.2842  0.33
Lushtak 2004   53  0.3370  0.0058  0.0568  0.0554  0.0564  0.05
Malcuzynski 1961   34  0.4675  0.0032  0.1330  0.6114  0.5830  0.59
Magaloff 1978   18  0.5447  0.0017  0.1418  0.759  0.7218  0.73
Magin 1975   12  0.565  0.038  0.1312  0.793  0.864  0.82
Michalowski 1933   37  0.4510  0.0139  0.1234  0.5219  0.4735  0.49
Milkina 1970   82  0.0829  0.0075  0.0474  0.0465  0.0471  0.04
Mohovich 1999   51  0.3339  0.0056  0.0469  0.0454  0.0666  0.05
Moravec 1969   44  0.3587  0.0048  0.0750  0.0746  0.0552  0.06
Morozova 2008   27  0.4822  0.0018  0.1325  0.687  0.6227  0.65
Neighaus 1950   41  0.3834  0.0045  0.1045  0.1057  0.0551  0.07
Niedzielski 1931   8  0.594  0.054  0.274  0.832  0.796  0.81
Ohlsson 1999   16  0.5517  0.0015  0.1720  0.732  0.6919  0.71
Osinska 1989   45  0.3423  0.0054  0.0563  0.0552  0.0660  0.05
Pachmann 1927   5  0.6016  0.007  0.138  0.805  0.837  0.81
Paderewski 1930   28  0.4836  0.0031  0.1228  0.6510  0.6526  0.65
Perlemuter 1992   29  0.4852  0.0030  0.1132  0.5516  0.6231  0.58
Pierdomenico 2008   24  0.4930  0.0036  0.1333  0.537  0.6332  0.58
Poblocka 1999   40  0.4026  0.0035  0.1036  0.4814  0.4537  0.46
Rabcewiczowa 1932   80  0.1356  0.0084  0.0382  0.0383  0.0283  0.02
Rachmaninoff 1923   42  0.3755  0.0040  0.1041  0.3626  0.4141  0.38
Rangell 2001   59  0.2821  0.0062  0.0562  0.0545  0.0758  0.06
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   21  0.5224  0.0028  0.1429  0.6413  0.6028  0.62
Rosenthal 1930   66  0.2388  0.0071  0.0472  0.0476  0.0381  0.03
Rosenthal 1931   83  0.0860  0.0080  0.0381  0.0377  0.0379  0.03
Rosenthal 1931b   84  0.0663  0.0082  0.0285  0.0279  0.0288  0.02
Rosenthal 1931c   68  0.2261  0.0072  0.0655  0.0661  0.0468  0.05
Rosenthal 1931d   87  0.0071  0.0085  0.0383  0.0387  0.0287  0.02
Rossi 2007   71  0.2189  0.0067  0.0470  0.0419  0.3946  0.12
Rubinstein 1939   62  0.2667  0.0049  0.0751  0.0737  0.1347  0.10
Rubinstein 1952   46  0.3443  0.0053  0.0849  0.0840  0.1348  0.10
Rubinstein 1966   43  0.3644  0.0050  0.0848  0.0853  0.0556  0.06
Schilhawsky 1960   61  0.2662  0.0051  0.0753  0.0731  0.3044  0.14
Shebanova 2002   2  0.682  0.282  0.501  0.894  0.852  0.87
Smith 1975   74  0.2064  0.0081  0.0476  0.0476  0.0377  0.03
Sokolov 2002   57  0.2835  0.0061  0.0565  0.0570  0.0369  0.04
Sztompka 1959   9  0.5812  0.0114  0.2215  0.777  0.7514  0.76
Tomsic 1995   50  0.3458  0.0047  0.1046  0.1044  0.0949  0.09
Uninsky 1932   14  0.566  0.0211  0.1913  0.795  0.7315  0.76
Uninsky 1971   73  0.2176  0.0070  0.0475  0.0485  0.0278  0.03
Wasowski 1980   15  0.5537  0.0019  0.1416  0.766  0.7117  0.73
Zak 1937   49  0.3477  0.0052  0.0654  0.0646  0.0755  0.06
Zak 1951   55  0.3265  0.0060  0.0659  0.0659  0.0561  0.05
Random 1   89  -0.0690  0.0089  0.0286  0.0280  0.0286  0.02
Random 2   88  -0.0478  0.0088  0.0288  0.0281  0.0285  0.02
Random 3   86  0.0179  0.0086  0.0287  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).