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  0.6220  0.0017  0.1026  0.4845  0.1220  0.24
Anderszewski 2003   23  0.5423  0.0033  0.1129  0.4355  0.0439  0.13
Ashkenazy 1981   29  0.5214  0.0126  0.1028  0.4540  0.1819  0.28
Bacha 2000   81  0.2777  0.0079  0.0472  0.0465  0.0458  0.04
Badura 1965   13  0.6067  0.0018  0.1124  0.4917  0.4713  0.48
Barbosa 1983   65  0.3832  0.0068  0.0561  0.0572  0.0464  0.04
Biret 1990   64  0.3973  0.0061  0.0471  0.0450  0.0571  0.04
Blet 2003   48  0.4725  0.0056  0.0556  0.0558  0.0554  0.05
Block 1995   28  0.5278  0.0036  0.0839  0.2545  0.0837  0.14
Blumental 1952   78  0.3060  0.0070  0.0475  0.0487  0.0383  0.03
Boshniakovich 1969   4  0.696  0.055  0.344  0.6716  0.564  0.61
Brailowsky 1960   66  0.3884  0.0072  0.0473  0.0451  0.0650  0.05
Bunin 1987   20  0.5587  0.0011  0.1317  0.537  0.5311  0.53
Bunin 1987b   24  0.5465  0.0010  0.1316  0.535  0.539  0.53
Chiu 1999   71  0.3753  0.0067  0.0476  0.0479  0.0377  0.03
Cohen 1997   88  0.1488  0.0088  0.0383  0.0375  0.0385  0.03
Cortot 1951   39  0.5016  0.0023  0.0935  0.3520  0.4714  0.41
Csalog 1996   75  0.3342  0.0074  0.0467  0.0464  0.0465  0.04
Czerny 1949   9  0.6419  0.006  0.2110  0.6023  0.498  0.54
Czerny 1990   47  0.4733  0.0055  0.0648  0.0680  0.0369  0.04
Duchoud 2007   63  0.4050  0.0042  0.0842  0.2031  0.2125  0.20
Ezaki 2006   19  0.5731  0.0032  0.0934  0.3756  0.0633  0.15
Falvay 1989   80  0.2940  0.0083  0.0284  0.0275  0.0389  0.02
Farrell 1958   62  0.4146  0.0066  0.0650  0.0673  0.0452  0.05
Ferenczy 1958   55  0.4537  0.0063  0.0478  0.0474  0.0382  0.03
Fliere 1977   8  0.6436  0.009  0.239  0.6146  0.0822  0.22
Fou 1978   34  0.5058  0.0041  0.0841  0.2267  0.0445  0.09
Francois 1956   77  0.3174  0.0080  0.0468  0.0470  0.0474  0.04
Friedman 1923   42  0.4938  0.0044  0.0643  0.1845  0.1138  0.14
Friedman 1923b   40  0.499  0.0240  0.1236  0.3340  0.1721  0.24
Friedman 1930   45  0.4718  0.0045  0.0745  0.1449  0.0646  0.09
Garcia 2007   57  0.4470  0.0052  0.0653  0.0673  0.0456  0.05
Garcia 2007b   52  0.4566  0.0046  0.1046  0.1081  0.0357  0.05
Gierzod 1998   16  0.5943  0.0020  0.1220  0.5150  0.0629  0.17
Gornostaeva 1994   56  0.4471  0.0054  0.0554  0.0562  0.0368  0.04
Groot 1988   60  0.4128  0.0051  0.0558  0.0572  0.0472  0.04
Harasiewicz 1955   5  0.685  0.064  0.225  0.6725  0.505  0.58
Hatto 1993   36  0.5089  0.0027  0.1213  0.5562  0.0530  0.17
Hatto 1997   31  0.5185  0.0029  0.1315  0.5462  0.0532  0.16
Horowitz 1949   15  0.6079  0.0014  0.1418  0.529  0.5410  0.53
Indjic 1988   32  0.5144  0.0028  0.0914  0.5452  0.0531  0.16
Kapell 1951   25  0.5412  0.0115  0.1212  0.5746  0.0824  0.21
Kissin 1993   6  0.6711  0.027  0.178  0.6327  0.477  0.54
Kushner 1989   30  0.5235  0.0038  0.0840  0.2376  0.0348  0.08
Luisada 1991   38  0.5048  0.0047  0.0649  0.0668  0.0449  0.05
Lushtak 2004   44  0.4717  0.0043  0.0844  0.1665  0.0547  0.09
Malcuzynski 1961   21  0.557  0.0413  0.1221  0.5026  0.2815  0.37
Magaloff 1978   73  0.3580  0.0075  0.0466  0.0487  0.0278  0.03
Magin 1975   17  0.5930  0.0022  0.0925  0.4957  0.0435  0.14
Michalowski 1933   37  0.5075  0.0025  0.0823  0.4912  0.4812  0.48
Milkina 1970   46  0.4734  0.0050  0.0747  0.0785  0.0353  0.05
Mohovich 1999   61  0.4154  0.0062  0.0463  0.0486  0.0384  0.03
Moravec 1969   82  0.2761  0.0084  0.0288  0.0268  0.0475  0.03
Morozova 2008   14  0.6015  0.0119  0.1227  0.4639  0.2218  0.32
Neighaus 1950   18  0.5741  0.0021  0.1119  0.5231  0.2716  0.37
Niedzielski 1931   49  0.4681  0.0053  0.0652  0.0682  0.0361  0.04
Ohlsson 1999   33  0.5162  0.0024  0.1022  0.5048  0.0628  0.17
Osinska 1989   43  0.4855  0.0049  0.0651  0.0677  0.0359  0.04
Pachmann 1927   50  0.4663  0.0065  0.0562  0.0536  0.2243  0.10
Paderewski 1930   68  0.3757  0.0069  0.0379  0.0368  0.0480  0.03
Perlemuter 1992   58  0.4486  0.0064  0.0474  0.0486  0.0376  0.03
Pierdomenico 2008   76  0.3376  0.0078  0.0469  0.0454  0.0651  0.05
Poblocka 1999   2  0.702  0.112  0.212  0.689  0.573  0.62
Rabcewiczowa 1932   74  0.3445  0.0077  0.0477  0.0466  0.0462  0.04
Rachmaninoff 1923   41  0.4949  0.0037  0.0837  0.3264  0.0441  0.11
Rangell 2001   67  0.3724  0.0058  0.0560  0.0574  0.0470  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   54  0.4521  0.0059  0.0557  0.0582  0.0366  0.04
Rosenthal 1930   53  0.4564  0.0048  0.0559  0.0533  0.2642  0.11
Rosenthal 1931   84  0.2559  0.0082  0.0382  0.0388  0.0290  0.02
Rosenthal 1931b   85  0.2482  0.0085  0.0289  0.0272  0.0486  0.03
Rosenthal 1931c   83  0.2690  0.0081  0.0381  0.0374  0.0387  0.03
Rosenthal 1931d   87  0.2183  0.0086  0.0286  0.0279  0.0391  0.02
Rossi 2007   86  0.2372  0.0087  0.0285  0.0284  0.0388  0.02
Rubinstein 1939   69  0.3768  0.0073  0.0464  0.0480  0.0379  0.03
Rubinstein 1952   79  0.3022  0.0060  0.0470  0.0472  0.0473  0.04
Rubinstein 1966   70  0.3756  0.0071  0.0380  0.0379  0.0481  0.03
Schilhawsky 1960   1  0.721  0.401  0.396  0.664  0.622  0.64
Shebanova 2002   27  0.5369  0.0034  0.1031  0.4265  0.0536  0.14
Smith 1975   59  0.4310  0.0257  0.0555  0.0576  0.0360  0.04
Sokolov 2002   51  0.4629  0.0035  0.1433  0.4142  0.1123  0.21
Sztompka 1959   11  0.628  0.0316  0.137  0.6442  0.1817  0.34
Tomsic 1995   72  0.3613  0.0176  0.0465  0.0475  0.0563  0.04
Uninsky 1932   10  0.6439  0.0012  0.1211  0.5811  0.546  0.56
Uninsky 1971   3  0.704  0.073  0.193  0.684  0.641  0.66
Wasowski 1980   35  0.5047  0.0039  0.0938  0.3081  0.0440  0.11
Zak 1937   22  0.5551  0.0030  0.0832  0.4246  0.0826  0.18
Zak 1951   26  0.5426  0.0031  0.0830  0.4246  0.0727  0.17
Average   7  0.653  0.088  0.191  0.7874  0.0334  0.15
Random 1   89  -0.0152  0.0089  0.0287  0.023  0.5444  0.10
Random 2   90  -0.0791  0.0091  0.0191  0.0124  0.2755  0.05
Random 3   91  -0.0727  0.0090  0.0190  0.0130  0.2067  0.04

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).