Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.5964  0.0036  0.0930  0.2530  0.1732  0.21
Anderszewski 2003   45  0.5248  0.0046  0.0549  0.0524  0.3144  0.12
Ashkenazy 1981   5  0.692  0.232  0.331  0.825  0.622  0.71
Bacha 2000   41  0.5318  0.0151  0.0467  0.0418  0.4540  0.13
Badura 1965   51  0.518  0.0319  0.0712  0.483  0.628  0.55
Barbosa 1983   74  0.4289  0.0059  0.0375  0.0366  0.0486  0.03
Biret 1990   40  0.5362  0.0061  0.0453  0.0463  0.0481  0.04
Blet 2003   57  0.5075  0.0060  0.0457  0.0449  0.0669  0.05
Block 1995   13  0.6219  0.0113  0.1211  0.485  0.609  0.54
Blumental 1952   69  0.4538  0.0033  0.0635  0.1814  0.3929  0.26
Boshniakovich 1969   17  0.6115  0.0118  0.0815  0.4112  0.5611  0.48
Brailowsky 1960   50  0.5165  0.0071  0.0460  0.0438  0.1462  0.07
Bunin 1987   67  0.4651  0.0082  0.0461  0.0468  0.0479  0.04
Bunin 1987b   66  0.4672  0.0081  0.0466  0.0463  0.0474  0.04
Chiu 1999   56  0.5020  0.0044  0.0743  0.1333  0.2836  0.19
Cohen 1997   81  0.3425  0.0079  0.0386  0.0346  0.0870  0.05
Cortot 1951   49  0.5146  0.0064  0.0378  0.0331  0.2655  0.09
Csalog 1996   73  0.4323  0.0065  0.0381  0.0344  0.1265  0.06
Czerny 1949   44  0.5267  0.0034  0.0639  0.1637  0.2337  0.19
Czerny 1990   3  0.7016  0.018  0.218  0.6010  0.527  0.56
Duchoud 2007   21  0.6014  0.0121  0.0717  0.4023  0.4316  0.41
Ezaki 2006   23  0.5939  0.0032  0.0731  0.2449  0.0642  0.12
Falvay 1989   20  0.6057  0.0028  0.0620  0.3630  0.2127  0.27
Farrell 1958   72  0.4332  0.0083  0.0380  0.0383  0.0384  0.03
Ferenczy 1958   79  0.3784  0.0084  0.0289  0.0257  0.0489  0.03
Fliere 1977   6  0.6917  0.016  0.135  0.6519  0.515  0.58
Fou 1978   28  0.5828  0.0016  0.079  0.4926  0.3813  0.43
Francois 1956   43  0.5253  0.0037  0.0737  0.1748  0.0557  0.09
Friedman 1923   87  0.2427  0.0085  0.0287  0.0255  0.0690  0.03
Friedman 1923b   88  0.2473  0.0086  0.0385  0.0355  0.0580  0.04
Friedman 1930   83  0.3258  0.0073  0.0468  0.0479  0.0387  0.03
Garcia 2007   84  0.3249  0.0077  0.0376  0.0321  0.4047  0.11
Garcia 2007b   82  0.3368  0.0075  0.0464  0.049  0.4839  0.14
Gierzod 1998   15  0.6243  0.0017  0.0813  0.4312  0.4114  0.42
Gornostaeva 1994   7  0.6855  0.0012  0.1014  0.4230  0.2620  0.33
Groot 1988   11  0.6363  0.0022  0.0722  0.3436  0.2128  0.27
Harasiewicz 1955   60  0.4956  0.0027  0.0733  0.2237  0.1834  0.20
Hatto 1993   76  0.3821  0.0057  0.0550  0.0542  0.1361  0.08
Hatto 1997   80  0.3581  0.0063  0.0470  0.0471  0.0388  0.03
Horowitz 1949   54  0.5124  0.0056  0.0454  0.0445  0.0767  0.05
Indjic 1988   77  0.3745  0.0058  0.0646  0.0660  0.0568  0.05
Kapell 1951   38  0.5490  0.0068  0.0462  0.0469  0.0472  0.04
Kissin 1993   8  0.674  0.045  0.256  0.647  0.583  0.61
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   24  0.5985  0.0026  0.0721  0.3528  0.3219  0.33
Lushtak 2004   59  0.4934  0.0041  0.0540  0.1644  0.1041  0.13
Malcuzynski 1961   2  0.755  0.043  0.304  0.697  0.534  0.60
Magaloff 1978   9  0.6576  0.0015  0.0923  0.3230  0.2226  0.27
Magin 1975   14  0.6211  0.019  0.1210  0.498  0.5310  0.51
Michalowski 1933   75  0.4022  0.0025  0.0728  0.2824  0.3622  0.32
Milkina 1970   31  0.5777  0.0031  0.0724  0.3125  0.3321  0.32
Mohovich 1999   33  0.5644  0.0052  0.0455  0.0471  0.0478  0.04
Moravec 1969   18  0.6113  0.0110  0.1216  0.4013  0.4315  0.41
Morozova 2008   12  0.637  0.037  0.137  0.634  0.516  0.57
Neighaus 1950   36  0.5691  0.0030  0.0729  0.2555  0.0645  0.12
Niedzielski 1931   70  0.4441  0.0055  0.0456  0.0425  0.2153  0.09
Ohlsson 1999   26  0.5966  0.0043  0.0738  0.1643  0.1238  0.14
Osinska 1989   29  0.5735  0.0035  0.0736  0.1831  0.2135  0.19
Pachmann 1927   85  0.3230  0.0087  0.0383  0.0369  0.0485  0.03
Paderewski 1930   48  0.5154  0.0070  0.0465  0.0452  0.0575  0.04
Perlemuter 1992   32  0.5610  0.0124  0.0825  0.3023  0.3918  0.34
Pierdomenico 2008   39  0.5433  0.0039  0.0534  0.2015  0.4025  0.28
Poblocka 1999   27  0.5829  0.0042  0.0541  0.1552  0.0552  0.09
Rabcewiczowa 1932   63  0.4778  0.0072  0.0459  0.0457  0.0471  0.04
Rachmaninoff 1923   64  0.4647  0.0047  0.0647  0.0636  0.1849  0.10
Rangell 2001   34  0.5637  0.0011  0.1032  0.2234  0.2133  0.21
Richter 1976   19  0.619  0.0223  0.0726  0.3024  0.3324  0.31
Rosen 1989   16  0.6182  0.0020  0.0718  0.3721  0.3917  0.38
Rosenthal 1930   42  0.5331  0.0062  0.0472  0.0437  0.2750  0.10
Rosenthal 1931   61  0.4752  0.0069  0.0469  0.0420  0.3743  0.12
Rosenthal 1931b   71  0.4479  0.0076  0.0374  0.0326  0.2856  0.09
Rosenthal 1931c   47  0.5270  0.0050  0.0451  0.0429  0.3048  0.11
Rosenthal 1931d   68  0.4526  0.0080  0.0377  0.0324  0.2754  0.09
Rossi 2007   78  0.3786  0.0067  0.0382  0.0310  0.4146  0.11
Rubinstein 1939   86  0.2987  0.0088  0.0379  0.0362  0.0483  0.03
Rubinstein 1952   65  0.4688  0.0078  0.0384  0.0354  0.0682  0.04
Rubinstein 1966   37  0.5542  0.0038  0.0642  0.1322  0.4031  0.23
Schilhawsky 1960   62  0.4759  0.0074  0.0463  0.0460  0.0477  0.04
Shebanova 2002   4  0.693  0.124  0.223  0.804  0.661  0.73
Smith 1975   30  0.5771  0.0040  0.0544  0.1246  0.0558  0.08
Sokolov 2002   10  0.636  0.0314  0.1219  0.3635  0.2723  0.31
Sztompka 1959   35  0.5612  0.0145  0.0545  0.1053  0.0659  0.08
Tomsic 1995   22  0.5960  0.0029  0.0627  0.2829  0.2130  0.24
Uninsky 1932   53  0.5136  0.0049  0.0458  0.0439  0.1463  0.07
Uninsky 1971   52  0.5140  0.0054  0.0471  0.0455  0.0576  0.04
Wasowski 1980   46  0.5274  0.0066  0.0373  0.0327  0.2951  0.09
Zak 1937   58  0.4950  0.0053  0.0452  0.0462  0.0573  0.04
Zak 1951   55  0.5083  0.0048  0.0648  0.0653  0.0566  0.05
Average   1  0.781  0.311  0.312  0.8029  0.2812  0.47
Random 1   90  0.0261  0.0090  0.0290  0.0221  0.2764  0.07
Random 2   91  -0.0769  0.0091  0.0191  0.0185  0.0291  0.01
Random 3   89  0.0880  0.0089  0.0288  0.0223  0.3360  0.08

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).