Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.782  0.172  0.192  0.599  0.467  0.52
Anderszewski 2003   28  0.699  0.036  0.1113  0.467  0.4413  0.45
Ashkenazy 1981   9  0.753  0.123  0.164  0.562  0.621  0.59
Bacha 2000   80  0.4788  0.0064  0.0463  0.0455  0.0573  0.04
Badura 1965   55  0.5970  0.0059  0.0550  0.0531  0.3648  0.13
Barbosa 1983   87  0.3641  0.0082  0.0382  0.0364  0.0488  0.03
Biret 1990   73  0.5238  0.0063  0.0464  0.0465  0.0483  0.04
Blet 2003   54  0.5983  0.0072  0.0384  0.0357  0.0579  0.04
Block 1995   56  0.5886  0.0055  0.0555  0.0523  0.2358  0.11
Blumental 1952   62  0.577  0.0342  0.0542  0.1042  0.0966  0.09
Boshniakovich 1969   10  0.7540  0.0020  0.0835  0.2030  0.3431  0.26
Brailowsky 1960   71  0.5381  0.0062  0.0379  0.0329  0.2564  0.09
Bunin 1987   75  0.5247  0.0057  0.0456  0.0418  0.4549  0.13
Bunin 1987b   74  0.5227  0.0156  0.0554  0.0518  0.4543  0.15
Chiu 1999   76  0.5118  0.0127  0.0736  0.1815  0.3334  0.24
Cohen 1997   88  0.1787  0.0088  0.0374  0.0382  0.0390  0.03
Cortot 1951   51  0.6074  0.0071  0.0376  0.0348  0.0584  0.04
Csalog 1996   83  0.4344  0.0084  0.0388  0.0362  0.0489  0.03
Czerny 1949   33  0.6820  0.018  0.0920  0.4021  0.4717  0.43
Czerny 1990   25  0.7032  0.0030  0.0822  0.3921  0.3123  0.35
Duchoud 2007   34  0.6733  0.0022  0.0623  0.352  0.6112  0.46
Ezaki 2006   16  0.7366  0.0015  0.1117  0.4213  0.4715  0.44
Falvay 1989   84  0.4282  0.0087  0.0466  0.0451  0.0869  0.06
Farrell 1958   65  0.5589  0.0060  0.0467  0.0455  0.0672  0.05
Ferenczy 1958   72  0.5358  0.0081  0.0378  0.0353  0.0581  0.04
Fliere 1977   4  0.7842  0.0013  0.1210  0.5023  0.3518  0.42
Fou 1978   41  0.6515  0.0232  0.0726  0.3026  0.2728  0.28
Francois 1956   63  0.5631  0.0033  0.0639  0.1523  0.3435  0.23
Friedman 1923   43  0.6573  0.0044  0.0444  0.0833  0.3741  0.17
Friedman 1923b   42  0.6546  0.0046  0.0461  0.0433  0.3654  0.12
Friedman 1930   37  0.6659  0.0045  0.0348  0.0729  0.4040  0.17
Garcia 2007   18  0.7376  0.0038  0.0833  0.2220  0.3827  0.29
Garcia 2007b   30  0.6939  0.0040  0.0838  0.1632  0.2638  0.20
Gierzod 1998   8  0.7621  0.0112  0.109  0.5114  0.4410  0.47
Gornostaeva 1994   24  0.7125  0.0126  0.0821  0.394  0.5314  0.45
Groot 1988   68  0.5557  0.0034  0.0740  0.1542  0.1842  0.16
Harasiewicz 1955   26  0.7014  0.0214  0.0815  0.4520  0.3721  0.41
Hatto 1993   50  0.6119  0.0150  0.0943  0.0937  0.2051  0.13
Hatto 1997   48  0.6149  0.0049  0.0551  0.0537  0.2061  0.10
Horowitz 1949   39  0.6684  0.0052  0.0747  0.0731  0.3939  0.17
Indjic 1988   46  0.6134  0.0048  0.0459  0.0437  0.2065  0.09
Kapell 1951   23  0.7111  0.0236  0.0730  0.2447  0.0652  0.12
Kissin 1993   6  0.7830  0.0017  0.1116  0.4519  0.4019  0.42
Kushner 1989   17  0.7316  0.0121  0.0812  0.4615  0.4711  0.46
Luisada 1991   12  0.7454  0.0016  0.0814  0.4613  0.3522  0.40
Lushtak 2004   70  0.5456  0.0066  0.0458  0.0456  0.0582  0.04
Malcuzynski 1961   47  0.6143  0.0067  0.0470  0.0430  0.2360  0.10
Magaloff 1978   77  0.5052  0.0073  0.0385  0.0352  0.0676  0.04
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   11  0.7426  0.0118  0.0818  0.402  0.628  0.50
Milkina 1970   27  0.6975  0.0037  0.0731  0.2222  0.3430  0.27
Mohovich 1999   44  0.6550  0.0039  0.0737  0.1735  0.2936  0.22
Moravec 1969   82  0.4624  0.0185  0.0381  0.0361  0.0485  0.03
Morozova 2008   3  0.7823  0.0111  0.115  0.542  0.573  0.55
Neighaus 1950   40  0.6677  0.0025  0.0727  0.2830  0.2829  0.28
Niedzielski 1931   38  0.6672  0.0054  0.0746  0.0733  0.2645  0.13
Ohlsson 1999   20  0.724  0.064  0.1111  0.506  0.584  0.54
Osinska 1989   36  0.6755  0.0047  0.0471  0.0452  0.0575  0.04
Pachmann 1927   59  0.5853  0.0069  0.0469  0.0411  0.4246  0.13
Paderewski 1930   64  0.5679  0.0074  0.0387  0.0352  0.0487  0.03
Perlemuter 1992   67  0.5545  0.0058  0.0553  0.0556  0.0474  0.04
Pierdomenico 2008   53  0.6037  0.0061  0.0460  0.048  0.4544  0.13
Poblocka 1999   14  0.7410  0.0224  0.0719  0.4019  0.4220  0.41
Rabcewiczowa 1932   58  0.5813  0.0241  0.0641  0.1139  0.1256  0.11
Rachmaninoff 1923   29  0.6912  0.029  0.126  0.544  0.516  0.52
Rangell 2001   69  0.5435  0.0065  0.0468  0.0413  0.4050  0.13
Richter 1976   49  0.6129  0.0068  0.0462  0.0430  0.3853  0.12
Rosen 1989   2  0.806  0.037  0.113  0.585  0.582  0.58
Rosenthal 1930   52  0.6036  0.0070  0.0472  0.0425  0.2462  0.10
Rosenthal 1931   57  0.5822  0.0176  0.0457  0.0418  0.4047  0.13
Rosenthal 1931b   60  0.5760  0.0075  0.0380  0.0319  0.3959  0.11
Rosenthal 1931c   66  0.5580  0.0078  0.0377  0.0323  0.3163  0.10
Rosenthal 1931d   61  0.5761  0.0077  0.0465  0.0418  0.3855  0.12
Rossi 2007   86  0.3862  0.0083  0.0386  0.0372  0.0486  0.03
Rubinstein 1939   78  0.5063  0.0080  0.0375  0.0350  0.0677  0.04
Rubinstein 1952   85  0.4017  0.0143  0.0445  0.0866  0.0571  0.06
Rubinstein 1966   79  0.4728  0.0179  0.0383  0.0352  0.0580  0.04
Schilhawsky 1960   32  0.6848  0.0023  0.0632  0.2230  0.4226  0.30
Shebanova 2002   13  0.748  0.035  0.158  0.5219  0.3716  0.44
Smith 1975   15  0.735  0.0519  0.0729  0.2514  0.3725  0.30
Sokolov 2002   45  0.6468  0.0031  0.0828  0.2611  0.3924  0.32
Sztompka 1959   7  0.7764  0.0010  0.127  0.5416  0.419  0.47
Tomsic 1995   81  0.4771  0.0086  0.0373  0.0356  0.0678  0.04
Uninsky 1932   22  0.7269  0.0035  0.0634  0.2130  0.2933  0.25
Uninsky 1971   31  0.6878  0.0053  0.0552  0.0540  0.2657  0.11
Wasowski 1980   35  0.6765  0.0051  0.0649  0.0644  0.0968  0.07
Zak 1937   21  0.7267  0.0029  0.0825  0.3240  0.1437  0.21
Zak 1951   19  0.7351  0.0028  0.0724  0.3538  0.1832  0.25
Average   1  0.811  0.171  0.171  0.7214  0.415  0.54
Random 1   91  -0.3185  0.0091  0.0191  0.0171  0.0391  0.02
Random 2   90  -0.1090  0.0089  0.0190  0.0114  0.3270  0.06
Random 3   89  -0.0891  0.0090  0.0289  0.0223  0.3567  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).