Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6357  0.0027  0.0825  0.2980  0.0341  0.09
Anderszewski 2003   32  0.5525  0.0012  0.0919  0.3838  0.1218  0.21
Ashkenazy 1981   39  0.5218  0.0123  0.0623  0.3151  0.0527  0.12
Bacha 2000   81  0.2977  0.0078  0.0381  0.0388  0.0283  0.02
Badura 1965   21  0.5810  0.0210  0.0818  0.4029  0.3310  0.36
Barbosa 1983   74  0.3556  0.0076  0.0287  0.0285  0.0387  0.02
Biret 1990   67  0.3985  0.0070  0.0372  0.0375  0.0477  0.03
Blet 2003   24  0.5740  0.0051  0.0652  0.0656  0.0555  0.05
Block 1995   13  0.6222  0.0117  0.0828  0.2830  0.2413  0.26
Blumental 1952   88  0.1652  0.0088  0.0380  0.0388  0.0288  0.02
Boshniakovich 1969   11  0.6427  0.0014  0.1411  0.4820  0.378  0.42
Brailowsky 1960   51  0.4861  0.0055  0.0649  0.0671  0.0451  0.05
Bunin 1987   8  0.6560  0.006  0.208  0.519  0.516  0.51
Bunin 1987b   9  0.657  0.035  0.197  0.5110  0.515  0.51
Chiu 1999   72  0.3666  0.0056  0.0653  0.0663  0.0452  0.05
Cohen 1997   85  0.2226  0.0073  0.0379  0.0356  0.0476  0.03
Cortot 1951   30  0.5536  0.0048  0.0651  0.0647  0.0750  0.06
Csalog 1996   69  0.3732  0.0040  0.0544  0.1145  0.1035  0.10
Czerny 1949   27  0.5686  0.0026  0.0832  0.2352  0.0626  0.12
Czerny 1990   44  0.5182  0.0059  0.0560  0.0574  0.0363  0.04
Duchoud 2007   48  0.4990  0.0039  0.0634  0.1948  0.0536  0.10
Ezaki 2006   20  0.5871  0.0034  0.0533  0.2365  0.0431  0.10
Falvay 1989   63  0.4124  0.0075  0.0286  0.0278  0.0468  0.03
Farrell 1958   68  0.3884  0.0077  0.0285  0.0271  0.0470  0.03
Ferenczy 1958   29  0.5516  0.0133  0.0937  0.1533  0.2020  0.17
Fliere 1977   5  0.6731  0.009  0.146  0.5448  0.0521  0.16
Fou 1978   37  0.5348  0.0036  0.0740  0.1369  0.0445  0.07
Francois 1956   66  0.3969  0.0082  0.0371  0.0366  0.0481  0.03
Friedman 1923   87  0.2272  0.0085  0.0282  0.0277  0.0482  0.03
Friedman 1923b   86  0.2270  0.0083  0.0375  0.0363  0.0562  0.04
Friedman 1930   77  0.3379  0.0067  0.0461  0.0458  0.0559  0.04
Garcia 2007   55  0.4637  0.0050  0.0648  0.0670  0.0456  0.05
Garcia 2007b   82  0.2655  0.0068  0.0558  0.0578  0.0365  0.04
Gierzod 1998   41  0.5281  0.0046  0.0555  0.0580  0.0360  0.04
Gornostaeva 1994   53  0.4743  0.0062  0.0368  0.0383  0.0289  0.02
Groot 1988   28  0.5562  0.0045  0.0545  0.1048  0.0547  0.07
Harasiewicz 1955   3  0.682  0.162  0.263  0.5911  0.453  0.52
Hatto 1993   61  0.4230  0.0031  0.0626  0.2935  0.1616  0.22
Hatto 1997   58  0.4521  0.0121  0.0622  0.3153  0.0525  0.12
Horowitz 1949   7  0.674  0.104  0.294  0.589  0.592  0.58
Indjic 1988   59  0.4447  0.0032  0.1024  0.3043  0.1219  0.19
Kapell 1951   23  0.579  0.0220  0.0716  0.4356  0.0522  0.15
Kissin 1993   4  0.685  0.078  0.1210  0.4830  0.2211  0.32
Kushner 1989   25  0.578  0.0343  0.0838  0.1582  0.0346  0.07
Luisada 1991   46  0.5068  0.0058  0.0466  0.0479  0.0366  0.03
Lushtak 2004   31  0.5539  0.0018  0.0729  0.2764  0.0437  0.10
Malcuzynski 1961   17  0.5951  0.0025  0.0630  0.2654  0.0432  0.10
Magaloff 1978   57  0.4665  0.0064  0.0465  0.0487  0.0267  0.03
Magin 1975   19  0.5812  0.0124  0.0715  0.4444  0.1114  0.22
Michalowski 1933   64  0.4078  0.0047  0.0554  0.0555  0.0654  0.05
Milkina 1970   38  0.5334  0.0054  0.0650  0.0676  0.0453  0.05
Mohovich 1999   42  0.5246  0.0053  0.0647  0.0680  0.0361  0.04
Moravec 1969   79  0.3223  0.0186  0.0284  0.0286  0.0284  0.02
Morozova 2008   22  0.5842  0.0029  0.0827  0.2852  0.0429  0.11
Neighaus 1950   36  0.5464  0.0030  0.0620  0.3363  0.0430  0.11
Niedzielski 1931   54  0.4619  0.0144  0.0643  0.1249  0.0444  0.07
Ohlsson 1999   49  0.4959  0.0038  0.0531  0.2662  0.0434  0.10
Osinska 1989   45  0.5149  0.0060  0.0559  0.0582  0.0357  0.04
Pachmann 1927   40  0.5263  0.0052  0.0556  0.0527  0.2133  0.10
Paderewski 1930   56  0.4633  0.0061  0.0467  0.0488  0.0272  0.03
Perlemuter 1992   14  0.6217  0.0116  0.1117  0.4234  0.1612  0.26
Pierdomenico 2008   60  0.4245  0.0066  0.0557  0.0571  0.0358  0.04
Poblocka 1999   1  0.723  0.103  0.241  0.6414  0.404  0.51
Rabcewiczowa 1932   78  0.3367  0.0084  0.0283  0.0269  0.0386  0.02
Rachmaninoff 1923   43  0.5189  0.0042  0.0641  0.1269  0.0442  0.07
Rangell 2001   65  0.4054  0.0057  0.0462  0.0462  0.0464  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   62  0.4129  0.0071  0.0373  0.0369  0.0475  0.03
Rosenthal 1930   47  0.5035  0.0041  0.0539  0.1440  0.1423  0.14
Rosenthal 1931   71  0.3683  0.0069  0.0370  0.0379  0.0373  0.03
Rosenthal 1931b   76  0.3373  0.0080  0.0378  0.0375  0.0379  0.03
Rosenthal 1931c   70  0.3780  0.0072  0.0376  0.0385  0.0290  0.02
Rosenthal 1931d   75  0.3487  0.0081  0.0369  0.0369  0.0478  0.03
Rossi 2007   84  0.2588  0.0087  0.0288  0.0286  0.0385  0.02
Rubinstein 1939   83  0.266  0.0322  0.0742  0.1274  0.0443  0.07
Rubinstein 1952   80  0.3113  0.0174  0.0377  0.0365  0.0480  0.03
Rubinstein 1966   73  0.3553  0.0079  0.0374  0.0383  0.0374  0.03
Schilhawsky 1960   2  0.711  0.211  0.212  0.643  0.551  0.59
Shebanova 2002   35  0.5411  0.0237  0.0535  0.1850  0.0540  0.09
Smith 1975   52  0.4838  0.0063  0.0463  0.0480  0.0369  0.03
Sokolov 2002   15  0.6014  0.0111  0.0914  0.4435  0.319  0.37
Sztompka 1959   33  0.5520  0.0149  0.0846  0.0864  0.0548  0.06
Tomsic 1995   50  0.4950  0.0065  0.0464  0.0484  0.0371  0.03
Uninsky 1932   34  0.5474  0.0035  0.0536  0.1758  0.0539  0.09
Uninsky 1971   10  0.6415  0.017  0.135  0.5425  0.367  0.44
Wasowski 1980   18  0.5841  0.0028  0.0721  0.3172  0.0428  0.11
Zak 1937   26  0.5775  0.0019  0.0713  0.4544  0.1115  0.22
Zak 1951   16  0.5991  0.0015  0.1212  0.4743  0.0917  0.21
Average   6  0.6728  0.0013  0.099  0.4881  0.0324  0.12
Random 1   89  -0.0658  0.0089  0.0290  0.029  0.4738  0.10
Random 2   91  -0.1444  0.0090  0.0289  0.0233  0.1749  0.06
Random 3   90  -0.1276  0.0091  0.0191  0.0184  0.0291  0.01

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).