Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  0.3391  0.0083  0.0385  0.0371  0.0487  0.03
Anderszewski 2003   27  0.465  0.0111  0.1414  0.549  0.6715  0.60
Ashkenazy 1981   7  0.547  0.0112  0.1217  0.525  0.7016  0.60
Bacha 2000   40  0.436  0.0127  0.0636  0.246  0.6532  0.39
Badura 1965   50  0.4067  0.0028  0.0631  0.306  0.6226  0.43
Barbosa 1983   38  0.4468  0.0052  0.0751  0.0745  0.1666  0.11
Biret 1990   62  0.3742  0.0064  0.0563  0.0541  0.2172  0.10
Blet 2003   78  0.3283  0.0080  0.0383  0.0367  0.0486  0.03
Block 1995   47  0.4151  0.0030  0.0733  0.2915  0.5431  0.40
Blumental 1952   23  0.4772  0.0033  0.0926  0.3610  0.6524  0.48
Boshniakovich 1969   9  0.5413  0.005  0.253  0.732  0.774  0.75
Brailowsky 1960   77  0.3261  0.0074  0.0475  0.0446  0.0879  0.06
Bunin 1987   55  0.4030  0.0059  0.1044  0.1020  0.4743  0.22
Bunin 1987b   57  0.3875  0.0060  0.0847  0.0827  0.4047  0.18
Chiu 1999   30  0.4540  0.0044  0.0545  0.1031  0.2253  0.15
Cohen 1997   66  0.3627  0.0076  0.0382  0.0340  0.2476  0.08
Cortot 1951   85  0.2662  0.0085  0.0480  0.0456  0.0682  0.05
Csalog 1996   56  0.3933  0.0046  0.0565  0.0514  0.4556  0.15
Czerny 1949   65  0.3648  0.0062  0.0655  0.0629  0.5049  0.17
Czerny 1990   12  0.5222  0.0014  0.1310  0.6113  0.7312  0.67
Duchoud 2007   49  0.4143  0.0040  0.0642  0.129  0.6040  0.27
Ezaki 2006   48  0.4155  0.0041  0.0541  0.1444  0.2346  0.18
Falvay 1989   10  0.5321  0.0015  0.1511  0.612  0.6513  0.63
Farrell 1958   67  0.3512  0.0039  0.0739  0.1819  0.4239  0.27
Ferenczy 1958   88  0.2184  0.0088  0.0478  0.0453  0.0680  0.05
Fliere 1977   5  0.5726  0.006  0.265  0.738  0.706  0.71
Fou 1978   14  0.5141  0.0017  0.1515  0.5311  0.6317  0.58
Francois 1956   83  0.2881  0.0082  0.0386  0.0363  0.0489  0.03
Friedman 1923   68  0.3511  0.0070  0.0557  0.0533  0.2864  0.12
Friedman 1923b   69  0.3518  0.0069  0.0568  0.0534  0.3461  0.13
Friedman 1930   63  0.3656  0.0063  0.0559  0.0567  0.0484  0.04
Garcia 2007   60  0.3736  0.0034  0.0934  0.299  0.6128  0.42
Garcia 2007b   34  0.4466  0.0019  0.1318  0.514  0.7414  0.61
Gierzod 1998   13  0.5214  0.008  0.129  0.652  0.758  0.70
Gornostaeva 1994   45  0.4252  0.0048  0.0570  0.0526  0.4657  0.15
Groot 1988   29  0.4549  0.0022  0.0830  0.3024  0.3837  0.34
Harasiewicz 1955   32  0.4559  0.0042  0.0540  0.1547  0.0773  0.10
Hatto 1993   22  0.4873  0.0031  0.0925  0.3821  0.4430  0.41
Hatto 1997   46  0.4260  0.0058  0.0749  0.0738  0.1470  0.10
Horowitz 1949   79  0.3134  0.0075  0.0481  0.0444  0.1178  0.07
Indjic 1988   21  0.4845  0.0023  0.0724  0.4118  0.5425  0.47
Kapell 1951   18  0.4916  0.0016  0.1416  0.528  0.5419  0.53
Kissin 1993   8  0.544  0.0110  0.1813  0.576  0.829  0.68
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   44  0.4264  0.0049  0.0561  0.0528  0.3062  0.12
Lushtak 2004   16  0.5119  0.0013  0.1112  0.603  0.7511  0.67
Malcuzynski 1961   6  0.563  0.032  0.266  0.712  0.745  0.72
Magaloff 1978   33  0.4485  0.0045  0.0546  0.0923  0.3944  0.19
Magin 1975   17  0.5020  0.0020  0.1022  0.4211  0.6321  0.51
Michalowski 1933   71  0.3465  0.0061  0.0558  0.057  0.5848  0.17
Milkina 1970   41  0.4335  0.0025  0.0623  0.4217  0.5823  0.49
Mohovich 1999   31  0.4510  0.0024  0.0729  0.3021  0.4934  0.38
Moravec 1969   25  0.4638  0.0038  0.0738  0.1812  0.4938  0.30
Morozova 2008   11  0.539  0.009  0.178  0.662  0.7010  0.68
Neighaus 1950   73  0.3479  0.0079  0.0479  0.0468  0.0485  0.04
Niedzielski 1931   76  0.3380  0.0071  0.0569  0.0544  0.1177  0.07
Ohlsson 1999   20  0.4825  0.0036  0.1028  0.3310  0.5229  0.41
Osinska 1989   36  0.448  0.0021  0.0819  0.4719  0.5222  0.49
Pachmann 1927   61  0.3753  0.0066  0.0566  0.0517  0.4855  0.15
Paderewski 1930   72  0.3471  0.0068  0.0560  0.0518  0.5351  0.16
Perlemuter 1992   37  0.4469  0.0056  0.0848  0.088  0.5942  0.22
Pierdomenico 2008   58  0.3829  0.0055  0.0654  0.066  0.5845  0.19
Poblocka 1999   26  0.4632  0.0037  0.0737  0.2321  0.5036  0.34
Rabcewiczowa 1932   70  0.3578  0.0067  0.0474  0.0441  0.1875  0.08
Rachmaninoff 1923   81  0.3082  0.0073  0.0476  0.0469  0.0483  0.04
Rangell 2001   51  0.4047  0.0043  0.0543  0.1014  0.5541  0.23
Richter 1976   3  0.5823  0.007  0.274  0.734  0.802  0.76
Rosen 1989   28  0.4537  0.0029  0.0627  0.3514  0.4433  0.39
Rosenthal 1930   84  0.2858  0.0087  0.0387  0.0371  0.0488  0.03
Rosenthal 1931   80  0.3157  0.0078  0.0472  0.0432  0.4060  0.13
Rosenthal 1931b   82  0.3090  0.0081  0.0384  0.0331  0.3867  0.11
Rosenthal 1931c   75  0.3386  0.0077  0.0567  0.0534  0.2368  0.11
Rosenthal 1931d   86  0.2587  0.0086  0.0477  0.0446  0.0681  0.05
Rossi 2007   87  0.2589  0.0084  0.0388  0.0328  0.3369  0.10
Rubinstein 1939   43  0.4374  0.0032  0.0835  0.2613  0.5235  0.37
Rubinstein 1952   19  0.4850  0.0026  0.0621  0.4512  0.5920  0.52
Rubinstein 1966   4  0.5717  0.004  0.327  0.698  0.717  0.70
Schilhawsky 1960   59  0.3854  0.0065  0.0564  0.0515  0.4058  0.14
Shebanova 2002   2  0.612  0.043  0.272  0.765  0.773  0.76
Smith 1975   64  0.3670  0.0072  0.0556  0.0539  0.1874  0.09
Sokolov 2002   53  0.4028  0.0047  0.0473  0.0428  0.4159  0.13
Sztompka 1959   15  0.5163  0.0018  0.1320  0.4511  0.6618  0.54
Tomsic 1995   24  0.4615  0.0035  0.0832  0.294  0.6227  0.42
Uninsky 1932   54  0.4024  0.0053  0.0653  0.0622  0.4252  0.16
Uninsky 1971   52  0.4031  0.0057  0.0750  0.0743  0.1665  0.11
Wasowski 1980   35  0.4439  0.0050  0.0471  0.0431  0.3863  0.12
Zak 1937   42  0.4346  0.0054  0.0652  0.0619  0.4350  0.16
Zak 1951   39  0.4444  0.0051  0.0562  0.0515  0.4854  0.15
Average   1  0.711  0.791  0.781  0.914  0.701  0.80
Random 1   89  0.0188  0.0089  0.0289  0.027  0.4871  0.10
Random 2   90  0.0076  0.0091  0.0191  0.0173  0.0390  0.02
Random 3   91  -0.0377  0.0090  0.0190  0.0153  0.0491  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).