Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.6238  0.0048  0.0654  0.0645  0.0868  0.07
Anderszewski 2003   10  0.6814  0.0117  0.1618  0.568  0.5720  0.56
Ashkenazy 1981   42  0.5936  0.0049  0.0747  0.0728  0.2753  0.14
Bacha 2000   66  0.5265  0.0057  0.0564  0.0527  0.2458  0.11
Badura 1965   53  0.5561  0.0054  0.0559  0.0532  0.3355  0.13
Barbosa 1983   56  0.5526  0.0043  0.0542  0.1321  0.4737  0.25
Biret 1990   12  0.6819  0.016  0.124  0.653  0.647  0.64
Blet 2003   54  0.5585  0.0063  0.0465  0.0426  0.2959  0.11
Block 1995   69  0.5077  0.0055  0.0653  0.0628  0.2457  0.12
Blumental 1952   48  0.5645  0.0052  0.1044  0.1072  0.0472  0.06
Boshniakovich 1969   22  0.6629  0.0023  0.1425  0.5016  0.5424  0.52
Brailowsky 1960   60  0.5359  0.0069  0.0557  0.0530  0.3254  0.13
Bunin 1987   83  0.4581  0.0078  0.0373  0.0338  0.2067  0.08
Bunin 1987b   84  0.4353  0.0079  0.0380  0.0339  0.1964  0.08
Chiu 1999   61  0.5266  0.0061  0.0372  0.0346  0.0774  0.05
Cohen 1997   87  0.4242  0.0081  0.0378  0.0312  0.4160  0.11
Cortot 1951   86  0.4250  0.0071  0.0374  0.0346  0.0684  0.04
Csalog 1996   52  0.5627  0.0042  0.0641  0.1310  0.4938  0.25
Czerny 1949   26  0.6462  0.0030  0.1227  0.4233  0.3829  0.40
Czerny 1990   8  0.7139  0.0016  0.1812  0.5912  0.5915  0.59
Duchoud 2007   75  0.4955  0.0067  0.0467  0.0415  0.3756  0.12
Ezaki 2006   31  0.6330  0.0041  0.0743  0.1336  0.2147  0.17
Falvay 1989   15  0.6715  0.0125  0.1422  0.521  0.6912  0.60
Farrell 1958   27  0.6411  0.0219  0.2013  0.583  0.6410  0.61
Ferenczy 1958   78  0.4786  0.0082  0.0469  0.0461  0.0483  0.04
Fliere 1977   7  0.7116  0.0112  0.1110  0.6125  0.3427  0.46
Fou 1978   19  0.6720  0.0113  0.1214  0.584  0.6114  0.59
Francois 1956   39  0.6087  0.0031  0.0931  0.329  0.5928  0.43
Friedman 1923   71  0.5088  0.0075  0.0383  0.0361  0.0585  0.04
Friedman 1923b   73  0.5051  0.0073  0.0287  0.0259  0.0587  0.03
Friedman 1930   68  0.5154  0.0072  0.0381  0.0353  0.0682  0.04
Garcia 2007   50  0.5647  0.0044  0.0545  0.108  0.5341  0.23
Garcia 2007b   51  0.5634  0.0035  0.0833  0.2813  0.5132  0.38
Gierzod 1998   3  0.7122  0.0114  0.116  0.6422  0.5216  0.58
Gornostaeva 1994   33  0.6243  0.0037  0.0938  0.2312  0.5634  0.36
Groot 1988   59  0.5323  0.0036  0.0640  0.1321  0.3244  0.20
Harasiewicz 1955   28  0.6425  0.0027  0.1228  0.4132  0.3135  0.36
Hatto 1993   41  0.5972  0.0040  0.0639  0.2138  0.2045  0.20
Hatto 1997   38  0.6068  0.0039  0.1034  0.2737  0.1643  0.21
Horowitz 1949   85  0.4337  0.0087  0.0466  0.0462  0.0675  0.05
Indjic 1988   37  0.6089  0.0038  0.0735  0.2733  0.2239  0.24
Kapell 1951   18  0.674  0.084  0.1219  0.554  0.5719  0.56
Kissin 1993   20  0.6717  0.0126  0.1426  0.4827  0.4726  0.47
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   30  0.6344  0.0032  0.0837  0.2324  0.3336  0.28
Lushtak 2004   17  0.675  0.065  0.125  0.651  0.761  0.70
Malcuzynski 1961   62  0.5252  0.0066  0.0563  0.0562  0.0481  0.04
Magaloff 1978   49  0.5663  0.0060  0.0470  0.0434  0.1963  0.09
Magin 1975   21  0.662  0.142  0.1421  0.5313  0.5222  0.52
Michalowski 1933   64  0.5282  0.0065  0.0562  0.0519  0.4152  0.14
Milkina 1970   5  0.716  0.038  0.113  0.678  0.635  0.65
Mohovich 1999   23  0.6549  0.0024  0.1423  0.5212  0.6318  0.57
Moravec 1969   70  0.5060  0.0076  0.0377  0.0343  0.1370  0.06
Morozova 2008   16  0.6713  0.0110  0.119  0.622  0.676  0.64
Neighaus 1950   45  0.5870  0.0056  0.0556  0.0563  0.0579  0.05
Niedzielski 1931   76  0.4878  0.0074  0.0285  0.0271  0.0388  0.02
Ohlsson 1999   9  0.6921  0.0118  0.1517  0.573  0.6611  0.61
Osinska 1989   2  0.711  0.351  0.352  0.697  0.643  0.66
Pachmann 1927   58  0.5469  0.0068  0.0655  0.062  0.5946  0.19
Paderewski 1930   72  0.5064  0.0062  0.0468  0.046  0.5751  0.15
Perlemuter 1992   34  0.6273  0.0034  0.0836  0.258  0.5731  0.38
Pierdomenico 2008   57  0.5467  0.0050  0.0748  0.072  0.6242  0.21
Poblocka 1999   25  0.6512  0.0129  0.1029  0.3731  0.4130  0.39
Rabcewiczowa 1932   24  0.658  0.0211  0.098  0.631  0.704  0.66
Rachmaninoff 1923   63  0.5274  0.0053  0.0652  0.0682  0.0380  0.04
Rangell 2001   44  0.587  0.0228  0.1030  0.321  0.7125  0.48
Richter 1976   67  0.5235  0.0070  0.0375  0.0339  0.2365  0.08
Rosen 1989   11  0.689  0.027  0.1120  0.5410  0.5821  0.56
Rosenthal 1930   80  0.4675  0.0085  0.0286  0.0256  0.0486  0.03
Rosenthal 1931   79  0.4756  0.0084  0.0379  0.0336  0.2266  0.08
Rosenthal 1931b   77  0.4871  0.0083  0.0382  0.0325  0.3162  0.10
Rosenthal 1931c   74  0.5028  0.0077  0.0471  0.0430  0.2961  0.11
Rosenthal 1931d   82  0.4576  0.0086  0.0376  0.0340  0.1869  0.07
Rossi 2007   81  0.4633  0.0080  0.0284  0.0242  0.1373  0.05
Rubinstein 1939   40  0.6057  0.0045  0.0558  0.058  0.4948  0.16
Rubinstein 1952   29  0.6318  0.0122  0.1316  0.583  0.679  0.62
Rubinstein 1966   4  0.7110  0.0215  0.141  0.704  0.672  0.68
Schilhawsky 1960   46  0.5740  0.0058  0.0561  0.0551  0.0676  0.05
Shebanova 2002   1  0.723  0.083  0.127  0.637  0.5713  0.60
Smith 1975   36  0.6124  0.0046  0.0650  0.0614  0.4050  0.15
Sokolov 2002   43  0.5941  0.0047  0.0651  0.0619  0.4049  0.15
Sztompka 1959   6  0.7131  0.009  0.1411  0.605  0.648  0.62
Tomsic 1995   47  0.5732  0.0051  0.0946  0.098  0.5940  0.23
Uninsky 1932   65  0.5283  0.0064  0.0560  0.0555  0.0577  0.05
Uninsky 1971   55  0.5579  0.0059  0.0749  0.0752  0.0671  0.06
Wasowski 1980   35  0.6248  0.0033  0.0632  0.3117  0.4533  0.37
Zak 1937   14  0.6880  0.0021  0.1324  0.5212  0.5323  0.52
Zak 1951   13  0.6846  0.0020  0.1715  0.589  0.5617  0.57
Random 1   89  -0.0658  0.0088  0.0288  0.0238  0.1378  0.05
Random 2   88  -0.0690  0.0089  0.0189  0.0175  0.0389  0.02
Random 3   90  -0.1184  0.0090  0.0190  0.0171  0.0490  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).