Kushner 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.7549  0.0010  0.1119  0.4521  0.4122  0.43
Anderszewski 2003   33  0.6817  0.0142  0.0641  0.1519  0.3039  0.21
Ashkenazy 1981   29  0.6919  0.0014  0.128  0.5416  0.4510  0.49
Bacha 2000   60  0.5969  0.0056  0.0466  0.0428  0.2563  0.10
Badura 1965   56  0.6157  0.0048  0.0746  0.0710  0.4543  0.18
Barbosa 1983   79  0.5076  0.0066  0.0375  0.0350  0.0680  0.04
Biret 1990   12  0.7318  0.0122  0.1112  0.487  0.4614  0.47
Blet 2003   31  0.6966  0.0035  0.0536  0.1826  0.2937  0.23
Block 1995   48  0.6411  0.0138  0.0637  0.178  0.4530  0.28
Blumental 1952   76  0.5244  0.0062  0.0557  0.0541  0.1169  0.07
Boshniakovich 1969   30  0.6953  0.0039  0.0739  0.1615  0.4332  0.26
Brailowsky 1960   42  0.6645  0.0060  0.0554  0.0528  0.3053  0.12
Bunin 1987   80  0.4974  0.0084  0.0380  0.0368  0.0489  0.03
Bunin 1987b   82  0.4889  0.0083  0.0381  0.0362  0.0486  0.03
Chiu 1999   69  0.5643  0.0055  0.0463  0.0429  0.2665  0.10
Cohen 1997   88  0.3722  0.0085  0.0387  0.0331  0.1771  0.07
Cortot 1951   53  0.6363  0.0068  0.0377  0.0351  0.0585  0.04
Csalog 1996   73  0.5323  0.0034  0.0545  0.1019  0.3842  0.19
Czerny 1949   32  0.6838  0.0023  0.0934  0.2445  0.0849  0.14
Czerny 1990   2  0.815  0.053  0.205  0.578  0.546  0.55
Duchoud 2007   51  0.6333  0.0050  0.0551  0.0535  0.2659  0.11
Ezaki 2006   19  0.7251  0.0037  0.0732  0.2640  0.1540  0.20
Falvay 1989   35  0.6840  0.0045  0.0643  0.1219  0.4238  0.22
Farrell 1958   45  0.6541  0.0058  0.0559  0.0523  0.2657  0.11
Ferenczy 1958   71  0.5562  0.0082  0.0373  0.0354  0.0582  0.04
Fliere 1977   3  0.8130  0.005  0.124  0.5915  0.448  0.51
Fou 1978   28  0.696  0.038  0.0911  0.485  0.529  0.50
Francois 1956   18  0.727  0.037  0.0914  0.4610  0.5211  0.49
Friedman 1923   86  0.3987  0.0088  0.0471  0.0450  0.0776  0.05
Friedman 1923b   87  0.3971  0.0087  0.0288  0.0262  0.0590  0.03
Friedman 1930   83  0.4772  0.0080  0.0378  0.0355  0.0581  0.04
Garcia 2007   68  0.5658  0.0051  0.0552  0.0513  0.4346  0.15
Garcia 2007b   85  0.4635  0.0061  0.0561  0.0515  0.2662  0.11
Gierzod 1998   9  0.7550  0.0019  0.0913  0.4620  0.3623  0.41
Gornostaeva 1994   7  0.7620  0.0021  0.1220  0.448  0.5312  0.48
Groot 1988   37  0.6768  0.0031  0.0731  0.2624  0.4127  0.33
Harasiewicz 1955   57  0.618  0.0225  0.0928  0.3132  0.2631  0.28
Hatto 1993   78  0.5077  0.0070  0.0384  0.0353  0.0584  0.04
Hatto 1997   74  0.5347  0.0072  0.0550  0.0552  0.0575  0.05
Horowitz 1949   67  0.5683  0.0079  0.0386  0.0359  0.0487  0.03
Indjic 1988   77  0.5188  0.0071  0.0553  0.0558  0.0573  0.05
Kapell 1951   34  0.6854  0.0040  0.0638  0.1736  0.1744  0.17
Kissin 1993   8  0.7613  0.0111  0.149  0.499  0.567  0.52
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   17  0.7246  0.0013  0.1117  0.4516  0.4815  0.46
Lushtak 2004   49  0.6442  0.0030  0.0623  0.3626  0.2429  0.29
Malcuzynski 1961   36  0.6767  0.0063  0.0560  0.0539  0.1367  0.08
Magaloff 1978   26  0.7028  0.0043  0.0642  0.1430  0.2941  0.20
Magin 1975   15  0.724  0.059  0.137  0.542  0.604  0.57
Michalowski 1933   72  0.5456  0.0049  0.0648  0.0626  0.3348  0.14
Milkina 1970   11  0.7560  0.0020  0.0815  0.4613  0.4913  0.47
Mohovich 1999   16  0.7225  0.0026  0.1016  0.4620  0.4520  0.45
Moravec 1969   58  0.6129  0.0053  0.0465  0.0428  0.3356  0.11
Morozova 2008   13  0.732  0.122  0.173  0.602  0.582  0.59
Neighaus 1950   24  0.7084  0.0027  0.0725  0.3333  0.2033  0.26
Niedzielski 1931   64  0.5880  0.0073  0.0374  0.0347  0.0578  0.04
Ohlsson 1999   14  0.7227  0.0018  0.0810  0.4917  0.4021  0.44
Osinska 1989   6  0.7715  0.0115  0.1218  0.4513  0.4617  0.45
Pachmann 1927   75  0.5248  0.0081  0.0472  0.0470  0.0479  0.04
Paderewski 1930   44  0.6559  0.0059  0.0556  0.0520  0.3154  0.12
Perlemuter 1992   27  0.6914  0.0116  0.1021  0.439  0.4816  0.45
Pierdomenico 2008   39  0.6661  0.0029  0.0726  0.331  0.6218  0.45
Poblocka 1999   25  0.7036  0.0047  0.0647  0.0641  0.1466  0.09
Rabcewiczowa 1932   22  0.7124  0.0012  0.1022  0.386  0.5319  0.45
Rachmaninoff 1923   50  0.6385  0.0033  0.0735  0.2225  0.2534  0.23
Rangell 2001   54  0.633  0.0617  0.0933  0.243  0.5325  0.36
Richter 1976   66  0.5716  0.0178  0.0382  0.0338  0.1568  0.07
Rosen 1989   4  0.7710  0.014  0.106  0.547  0.565  0.55
Rosenthal 1930   46  0.6537  0.0054  0.0462  0.0419  0.3755  0.12
Rosenthal 1931   59  0.6073  0.0067  0.0379  0.0324  0.3858  0.11
Rosenthal 1931b   65  0.5879  0.0075  0.0464  0.0427  0.2961  0.11
Rosenthal 1931c   55  0.6265  0.0064  0.0468  0.0421  0.4052  0.13
Rosenthal 1931d   61  0.5982  0.0076  0.0470  0.0421  0.3160  0.11
Rossi 2007   81  0.4975  0.0077  0.0383  0.0319  0.3264  0.10
Rubinstein 1939   84  0.4655  0.0086  0.0376  0.0348  0.0677  0.04
Rubinstein 1952   70  0.5634  0.0057  0.0558  0.0522  0.4547  0.15
Rubinstein 1966   43  0.6632  0.0052  0.0467  0.0419  0.4451  0.13
Schilhawsky 1960   52  0.6381  0.0065  0.0555  0.0556  0.0574  0.05
Shebanova 2002   5  0.779  0.026  0.102  0.636  0.611  0.62
Smith 1975   20  0.7121  0.0028  0.0827  0.3323  0.3326  0.33
Sokolov 2002   23  0.7012  0.0124  0.1024  0.3516  0.4324  0.39
Sztompka 1959   21  0.7126  0.0036  0.0529  0.2928  0.3028  0.29
Tomsic 1995   47  0.6539  0.0044  0.0544  0.1115  0.5036  0.23
Uninsky 1932   62  0.5978  0.0069  0.0385  0.0361  0.0583  0.04
Uninsky 1971   63  0.5886  0.0074  0.0469  0.0454  0.0672  0.05
Wasowski 1980   41  0.6631  0.0046  0.0549  0.0517  0.3450  0.13
Zak 1937   38  0.6764  0.0041  0.0640  0.1539  0.1745  0.16
Zak 1951   40  0.6652  0.0032  0.0730  0.2630  0.2035  0.23
Average   1  0.861  0.441  0.441  0.7915  0.433  0.58
Random 1   90  -0.1191  0.0091  0.0191  0.0152  0.0491  0.02
Random 2   91  -0.1270  0.0090  0.0290  0.0250  0.0488  0.03
Random 3   89  -0.0190  0.0089  0.0289  0.0227  0.2370  0.07

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).