Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7766  0.0019  0.1121  0.4042  0.1930  0.28
Anderszewski 2003   22  0.7417  0.0126  0.0827  0.3118  0.3028  0.30
Ashkenazy 1981   41  0.6827  0.0028  0.0629  0.3031  0.2336  0.26
Bacha 2000   62  0.6167  0.0049  0.0468  0.0429  0.1654  0.08
Badura 1965   54  0.6349  0.0066  0.0554  0.0540  0.2347  0.11
Barbosa 1983   83  0.5068  0.0051  0.0465  0.0425  0.2251  0.09
Biret 1990   24  0.7312  0.0213  0.154  0.558  0.536  0.54
Blet 2003   29  0.7187  0.0035  0.0434  0.2121  0.3433  0.27
Block 1995   72  0.5836  0.0058  0.0558  0.0528  0.1853  0.09
Blumental 1952   58  0.6252  0.0043  0.0545  0.1168  0.0462  0.07
Boshniakovich 1969   35  0.6947  0.0048  0.0647  0.0650  0.0667  0.06
Brailowsky 1960   49  0.6669  0.0063  0.0467  0.0436  0.2150  0.09
Bunin 1987   86  0.4479  0.0086  0.0384  0.0348  0.0773  0.05
Bunin 1987b   87  0.4255  0.0085  0.0385  0.0352  0.0679  0.04
Chiu 1999   65  0.6045  0.0039  0.0641  0.1234  0.2142  0.16
Cohen 1997   88  0.4056  0.0087  0.0383  0.0340  0.1663  0.07
Cortot 1951   70  0.5864  0.0080  0.0556  0.0583  0.0384  0.04
Csalog 1996   71  0.5835  0.0032  0.0444  0.119  0.4239  0.21
Czerny 1949   39  0.6943  0.0056  0.0557  0.0549  0.0672  0.05
Czerny 1990   4  0.8041  0.0018  0.1213  0.4819  0.3417  0.40
Duchoud 2007   79  0.5570  0.0068  0.0463  0.0441  0.1361  0.07
Ezaki 2006   37  0.6950  0.0060  0.0470  0.0456  0.0476  0.04
Falvay 1989   52  0.6416  0.0157  0.0559  0.0510  0.5243  0.16
Farrell 1958   40  0.6825  0.0030  0.0625  0.3314  0.4816  0.40
Ferenczy 1958   68  0.5972  0.0079  0.0472  0.0462  0.0483  0.04
Fliere 1977   5  0.8073  0.0017  0.1019  0.4332  0.2126  0.30
Fou 1978   18  0.753  0.114  0.149  0.532  0.602  0.56
Francois 1956   13  0.765  0.0610  0.1214  0.475  0.569  0.51
Friedman 1923   59  0.6174  0.0077  0.0380  0.0352  0.0685  0.04
Friedman 1923b   61  0.6183  0.0076  0.0382  0.0368  0.0490  0.03
Friedman 1930   57  0.6260  0.0078  0.0377  0.0352  0.0682  0.04
Garcia 2007   34  0.6959  0.0037  0.0630  0.3024  0.3524  0.32
Garcia 2007b   46  0.6637  0.0038  0.0832  0.2430  0.3034  0.27
Gierzod 1998   6  0.7854  0.0020  0.1218  0.4328  0.2820  0.35
Gornostaeva 1994   36  0.6963  0.0050  0.0552  0.0524  0.2348  0.11
Groot 1988   60  0.6139  0.0033  0.0437  0.1621  0.3737  0.24
Harasiewicz 1955   42  0.6815  0.0147  0.0555  0.0565  0.0575  0.05
Hatto 1993   53  0.6484  0.0055  0.0648  0.0663  0.0574  0.05
Hatto 1997   48  0.6676  0.0054  0.0846  0.0847  0.0760  0.07
Horowitz 1949   80  0.5562  0.0081  0.0379  0.0360  0.0580  0.04
Indjic 1988   47  0.6665  0.0053  0.0650  0.0646  0.0764  0.06
Kapell 1951   26  0.7342  0.0014  0.1316  0.4721  0.2321  0.33
Kissin 1993   12  0.7620  0.0122  0.1022  0.3828  0.2625  0.31
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   21  0.7446  0.0016  0.1020  0.4024  0.2622  0.32
Lushtak 2004   17  0.766  0.056  0.195  0.552  0.544  0.54
Malcuzynski 1961   84  0.5077  0.0084  0.0286  0.0266  0.0487  0.03
Magaloff 1978   56  0.6388  0.0067  0.0466  0.0450  0.0768  0.05
Magin 1975   25  0.7314  0.0111  0.1415  0.4712  0.4612  0.46
Michalowski 1933   44  0.6782  0.0059  0.0474  0.0437  0.1856  0.08
Milkina 1970   10  0.7744  0.0025  0.0926  0.3319  0.4019  0.36
Mohovich 1999   15  0.7611  0.027  0.127  0.539  0.555  0.54
Moravec 1969   81  0.5171  0.0082  0.0287  0.0263  0.0486  0.03
Morozova 2008   11  0.767  0.045  0.1510  0.526  0.528  0.52
Neighaus 1950   27  0.7180  0.0031  0.0533  0.2140  0.1341  0.17
Niedzielski 1931   50  0.6581  0.0064  0.0471  0.0457  0.0478  0.04
Ohlsson 1999   14  0.7618  0.0115  0.148  0.5316  0.4013  0.46
Osinska 1989   16  0.7619  0.0121  0.1312  0.4823  0.3615  0.42
Pachmann 1927   30  0.7178  0.0041  0.0638  0.156  0.4635  0.26
Paderewski 1930   32  0.7048  0.0036  0.0531  0.294  0.5318  0.39
Perlemuter 1992   20  0.7531  0.0012  0.1211  0.508  0.4711  0.48
Pierdomenico 2008   63  0.6126  0.0034  0.0635  0.193  0.5523  0.32
Poblocka 1999   28  0.7110  0.0329  0.0528  0.3032  0.2532  0.27
Rabcewiczowa 1932   8  0.778  0.039  0.156  0.551  0.591  0.57
Rachmaninoff 1923   38  0.6989  0.0040  0.0536  0.1756  0.0455  0.08
Rangell 2001   76  0.5713  0.0227  0.0639  0.141  0.5731  0.28
Richter 1976   85  0.4953  0.0083  0.0288  0.0249  0.0688  0.03
Rosen 1989   9  0.779  0.038  0.1117  0.4713  0.4614  0.46
Rosenthal 1930   67  0.5985  0.0071  0.0476  0.0443  0.0966  0.06
Rosenthal 1931   74  0.5740  0.0075  0.0560  0.0534  0.1752  0.09
Rosenthal 1931b   73  0.5824  0.0074  0.0464  0.0435  0.1758  0.08
Rosenthal 1931c   78  0.5657  0.0072  0.0378  0.0330  0.2359  0.08
Rosenthal 1931d   75  0.5732  0.0073  0.0381  0.0332  0.1957  0.08
Rossi 2007   82  0.5034  0.0088  0.0475  0.0459  0.0577  0.04
Rubinstein 1939   64  0.6075  0.0070  0.0553  0.0552  0.0569  0.05
Rubinstein 1952   77  0.5728  0.0052  0.0551  0.0513  0.4944  0.16
Rubinstein 1966   31  0.7023  0.0145  0.0643  0.1114  0.4638  0.22
Schilhawsky 1960   45  0.6658  0.0061  0.0561  0.0558  0.0570  0.05
Shebanova 2002   2  0.834  0.092  0.222  0.6211  0.457  0.53
Smith 1975   33  0.7022  0.0144  0.0542  0.1230  0.2045  0.15
Sokolov 2002   51  0.6433  0.0042  0.0540  0.1422  0.2840  0.20
Sztompka 1959   3  0.812  0.133  0.273  0.608  0.503  0.55
Tomsic 1995   66  0.6030  0.0062  0.0473  0.0412  0.5246  0.14
Uninsky 1932   55  0.6338  0.0065  0.0469  0.0450  0.0771  0.05
Uninsky 1971   69  0.5961  0.0069  0.0562  0.0568  0.0481  0.04
Wasowski 1980   43  0.6751  0.0046  0.0649  0.0639  0.1349  0.09
Zak 1937   19  0.7521  0.0124  0.0924  0.3528  0.2229  0.28
Zak 1951   23  0.7429  0.0023  0.1023  0.3725  0.2527  0.30
Average   1  0.861  0.231  0.231  0.7119  0.3510  0.50
Random 1   91  -0.2890  0.0091  0.0191  0.0183  0.0291  0.01
Random 2   89  -0.1091  0.0089  0.0289  0.0226  0.2165  0.06
Random 3   90  -0.1886  0.0090  0.0290  0.0246  0.0689  0.03

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).