Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6826  0.0015  0.1420  0.4759  0.0525  0.15
Anderszewski 2003   32  0.5640  0.0038  0.1238  0.2875  0.0341  0.09
Ashkenazy 1981   45  0.5214  0.0121  0.0734  0.3654  0.0439  0.12
Bacha 2000   81  0.1774  0.0077  0.0379  0.0383  0.0368  0.03
Badura 1965   7  0.726  0.039  0.208  0.5913  0.535  0.56
Barbosa 1983   76  0.2425  0.0174  0.0370  0.0376  0.0374  0.03
Biret 1990   66  0.3279  0.0063  0.0466  0.0473  0.0467  0.04
Blet 2003   44  0.5244  0.0053  0.0651  0.0668  0.0453  0.05
Block 1995   23  0.6158  0.0032  0.0836  0.3143  0.0822  0.16
Blumental 1952   77  0.2282  0.0068  0.0375  0.0381  0.0376  0.03
Boshniakovich 1969   4  0.784  0.054  0.234  0.6218  0.477  0.54
Brailowsky 1960   65  0.3364  0.0069  0.0374  0.0383  0.0369  0.03
Bunin 1987   12  0.6877  0.008  0.2110  0.553  0.576  0.56
Bunin 1987b   14  0.688  0.027  0.229  0.553  0.574  0.56
Chiu 1999   63  0.3570  0.0060  0.0655  0.0652  0.0450  0.05
Cohen 1997   87  0.0265  0.0088  0.0285  0.0286  0.0287  0.02
Cortot 1951   18  0.6217  0.0118  0.1012  0.5331  0.2211  0.34
Csalog 1996   74  0.2531  0.0067  0.0467  0.0477  0.0375  0.03
Czerny 1949   11  0.6966  0.0010  0.1414  0.5134  0.3210  0.40
Czerny 1990   60  0.4080  0.0064  0.0465  0.0487  0.0378  0.03
Duchoud 2007   53  0.4737  0.0028  0.0637  0.2932  0.1818  0.23
Ezaki 2006   33  0.5659  0.0044  0.0645  0.1280  0.0346  0.06
Falvay 1989   85  0.1146  0.0082  0.0286  0.0283  0.0283  0.02
Farrell 1958   64  0.3449  0.0070  0.0469  0.0473  0.0460  0.04
Ferenczy 1958   46  0.5145  0.0049  0.0561  0.0531  0.1444  0.08
Fliere 1977   9  0.7012  0.0211  0.156  0.6046  0.0620  0.19
Fou 1978   50  0.4927  0.0050  0.0562  0.0577  0.0361  0.04
Francois 1956   72  0.2754  0.0078  0.0378  0.0374  0.0380  0.03
Friedman 1923   25  0.5935  0.0030  0.0824  0.4542  0.1816  0.28
Friedman 1923b   26  0.5919  0.0129  0.0623  0.4542  0.1913  0.29
Friedman 1930   31  0.5611  0.0231  0.0828  0.4044  0.1517  0.24
Garcia 2007   35  0.5550  0.0046  0.1244  0.1264  0.0445  0.07
Garcia 2007b   43  0.5255  0.0042  0.0739  0.2078  0.0442  0.09
Gierzod 1998   22  0.6160  0.0033  0.0933  0.3667  0.0438  0.12
Gornostaeva 1994   56  0.4273  0.0055  0.0656  0.0686  0.0277  0.03
Groot 1988   57  0.4175  0.0057  0.0654  0.0670  0.0456  0.05
Harasiewicz 1955   6  0.7513  0.015  0.245  0.6115  0.409  0.49
Hatto 1993   30  0.5618  0.0127  0.0817  0.5044  0.1019  0.22
Hatto 1997   28  0.5781  0.0024  0.0615  0.5164  0.0521  0.16
Horowitz 1949   2  0.802  0.192  0.317  0.593  0.562  0.57
Indjic 1988   29  0.5783  0.0026  0.0516  0.5166  0.0430  0.14
Kapell 1951   41  0.5323  0.0137  0.1132  0.3664  0.0436  0.12
Kissin 1993   10  0.707  0.0312  0.1113  0.5253  0.0429  0.14
Kushner 1989   48  0.4947  0.0054  0.0748  0.0787  0.0262  0.04
Luisada 1991   38  0.5384  0.0051  0.0560  0.0579  0.0357  0.04
Lushtak 2004   52  0.4834  0.0039  0.0743  0.1476  0.0348  0.06
Malcuzynski 1961   34  0.5510  0.0220  0.0735  0.3526  0.2314  0.28
Magaloff 1978   75  0.2485  0.0079  0.0373  0.0379  0.0470  0.03
Magin 1975   21  0.6143  0.0035  0.0829  0.3861  0.0435  0.12
Michalowski 1933   24  0.5986  0.0023  0.0722  0.4535  0.1815  0.28
Milkina 1970   55  0.4521  0.0156  0.0747  0.0753  0.0547  0.06
Mohovich 1999   62  0.3772  0.0062  0.0649  0.0687  0.0365  0.04
Moravec 1969   83  0.1471  0.0087  0.0284  0.0285  0.0281  0.02
Morozova 2008   15  0.6432  0.0019  0.1030  0.3862  0.0437  0.12
Neighaus 1950   16  0.6361  0.0014  0.1118  0.4878  0.0431  0.14
Niedzielski 1931   47  0.5087  0.0047  0.0650  0.0647  0.0551  0.05
Ohlsson 1999   40  0.5352  0.0022  0.0726  0.4149  0.0528  0.14
Osinska 1989   49  0.4978  0.0052  0.0559  0.0582  0.0358  0.04
Pachmann 1927   42  0.5369  0.0048  0.0653  0.0653  0.0452  0.05
Paderewski 1930   59  0.4162  0.0061  0.0658  0.0671  0.0363  0.04
Perlemuter 1992   37  0.5467  0.0045  0.0946  0.0980  0.0349  0.05
Pierdomenico 2008   69  0.3030  0.0071  0.0464  0.0486  0.0271  0.03
Poblocka 1999   3  0.793  0.103  0.191  0.6713  0.473  0.56
Rabcewiczowa 1932   68  0.3022  0.0173  0.0376  0.0374  0.0473  0.03
Rachmaninoff 1923   39  0.5333  0.0040  0.0740  0.2074  0.0343  0.08
Rangell 2001   67  0.3041  0.0058  0.0657  0.0679  0.0366  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   58  0.4129  0.0059  0.0652  0.0669  0.0455  0.05
Rosenthal 1930   54  0.4615  0.0141  0.0742  0.1533  0.1233  0.13
Rosenthal 1931   80  0.2088  0.0084  0.0283  0.0287  0.0385  0.02
Rosenthal 1931b   79  0.2056  0.0083  0.0187  0.0187  0.0389  0.02
Rosenthal 1931c   78  0.2148  0.0076  0.0377  0.0376  0.0379  0.03
Rosenthal 1931d   82  0.1789  0.0085  0.0281  0.0286  0.0388  0.02
Rossi 2007   84  0.1351  0.0086  0.0188  0.0181  0.0382  0.02
Rubinstein 1939   70  0.2924  0.0172  0.0371  0.0372  0.0472  0.03
Rubinstein 1952   86  0.1020  0.0181  0.0282  0.0285  0.0390  0.02
Rubinstein 1966   73  0.2557  0.0075  0.0468  0.0468  0.0464  0.04
Schilhawsky 1960   1  0.811  0.291  0.282  0.678  0.571  0.62
Shebanova 2002   27  0.5876  0.0036  0.0927  0.4056  0.0432  0.13
Smith 1975   61  0.3716  0.0165  0.0563  0.0585  0.0359  0.04
Sokolov 2002   51  0.4836  0.0034  0.0731  0.3746  0.0623  0.15
Sztompka 1959   19  0.629  0.0225  0.0625  0.4360  0.0524  0.15
Tomsic 1995   71  0.2928  0.0080  0.0280  0.0283  0.0284  0.02
Uninsky 1932   8  0.7042  0.0013  0.1111  0.5342  0.1912  0.32
Uninsky 1971   5  0.755  0.046  0.253  0.6213  0.458  0.53
Wasowski 1980   36  0.5438  0.0043  0.0841  0.1850  0.0640  0.10
Zak 1937   17  0.6268  0.0016  0.0819  0.4767  0.0426  0.14
Zak 1951   20  0.6263  0.0017  0.0721  0.4771  0.0427  0.14
Random 1   88  -0.0353  0.0066  0.0372  0.035  0.5534  0.13
Random 2   89  -0.1190  0.0089  0.0189  0.0115  0.3054  0.05
Random 3   90  -0.1739  0.0090  0.0190  0.0165  0.0486  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).