Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.4336  0.0038  0.0840  0.1414  0.4439  0.25
Anderszewski 2003   21  0.5343  0.0027  0.1025  0.4230  0.3628  0.39
Ashkenazy 1981   54  0.4325  0.0058  0.0466  0.0416  0.4353  0.13
Bacha 2000   79  0.3355  0.0068  0.0475  0.0442  0.1764  0.08
Badura 1965   68  0.3745  0.0065  0.0478  0.0439  0.1474  0.07
Barbosa 1983   16  0.5574  0.0025  0.1126  0.4031  0.3031  0.35
Biret 1990   9  0.587  0.0410  0.148  0.628  0.5612  0.59
Blet 2003   60  0.4122  0.0143  0.0544  0.1010  0.4342  0.21
Block 1995   15  0.5519  0.0112  0.1213  0.563  0.726  0.63
Blumental 1952   11  0.571  0.151  0.1520  0.4920  0.5419  0.51
Boshniakovich 1969   43  0.4534  0.0032  0.0733  0.2634  0.2440  0.25
Brailowsky 1960   10  0.578  0.0411  0.1219  0.509  0.6413  0.57
Bunin 1987   46  0.4442  0.0041  0.0642  0.1115  0.3844  0.20
Bunin 1987b   55  0.4265  0.0051  0.0645  0.0621  0.3846  0.15
Chiu 1999   64  0.3960  0.0063  0.0459  0.0437  0.1866  0.08
Cohen 1997   74  0.3656  0.0071  0.0385  0.0343  0.0880  0.05
Cortot 1951   85  0.2278  0.0070  0.0464  0.0456  0.0681  0.05
Csalog 1996   29  0.5218  0.0113  0.1211  0.583  0.669  0.62
Czerny 1949   51  0.4366  0.0053  0.0460  0.0455  0.0779  0.05
Czerny 1990   42  0.4687  0.0047  0.0554  0.0549  0.0775  0.06
Duchoud 2007   82  0.2853  0.0078  0.0474  0.0430  0.4152  0.13
Ezaki 2006   6  0.6013  0.039  0.139  0.6211  0.5810  0.60
Falvay 1989   7  0.589  0.048  0.147  0.6414  0.618  0.62
Farrell 1958   49  0.4354  0.0037  0.0637  0.1925  0.4036  0.28
Ferenczy 1958   38  0.4657  0.0046  0.0555  0.0514  0.5745  0.17
Fliere 1977   1  0.626  0.047  0.166  0.657  0.597  0.62
Fou 1978   17  0.5533  0.0024  0.0922  0.4811  0.4922  0.48
Francois 1956   77  0.3579  0.0081  0.0458  0.0449  0.0682  0.05
Friedman 1923   71  0.3683  0.0066  0.0467  0.0424  0.3756  0.12
Friedman 1923b   78  0.3367  0.0076  0.0469  0.0436  0.2063  0.09
Friedman 1930   76  0.3526  0.0055  0.0470  0.0433  0.2461  0.10
Garcia 2007   48  0.4349  0.0040  0.0838  0.186  0.6333  0.34
Garcia 2007b   44  0.4584  0.0039  0.0639  0.1823  0.4237  0.27
Gierzod 1998   19  0.5415  0.0216  0.1123  0.4632  0.3426  0.40
Gornostaeva 1994   39  0.4672  0.0050  0.0548  0.0534  0.2557  0.11
Groot 1988   20  0.5437  0.0022  0.0917  0.513  0.5715  0.54
Harasiewicz 1955   30  0.5152  0.0035  0.0732  0.2742  0.2141  0.24
Hatto 1993   26  0.5288  0.0021  0.1221  0.4817  0.4923  0.48
Hatto 1997   23  0.5358  0.0020  0.1118  0.5114  0.5218  0.51
Horowitz 1949   67  0.3762  0.0069  0.0477  0.0413  0.4748  0.14
Indjic 1988   27  0.5216  0.0218  0.1016  0.5214  0.5417  0.53
Kapell 1951   13  0.5614  0.0223  0.0930  0.3533  0.3730  0.36
Kissin 1993   53  0.4368  0.0059  0.0462  0.0445  0.1173  0.07
Kushner 1989   14  0.5520  0.0117  0.1212  0.5823  0.4221  0.49
Luisada 1991   12  0.5621  0.0130  0.0929  0.374  0.6520  0.49
Lushtak 2004   33  0.5023  0.0128  0.0924  0.4323  0.4525  0.44
Malcuzynski 1961   25  0.5246  0.0019  0.0914  0.5416  0.5216  0.53
Magaloff 1978   63  0.4089  0.0075  0.0472  0.0459  0.0483  0.04
Magin 1975   22  0.5344  0.0026  0.1028  0.3823  0.4027  0.39
Michalowski 1933   86  0.1069  0.0086  0.0286  0.0282  0.0288  0.02
Milkina 1970   5  0.605  0.072  0.131  0.727  0.634  0.67
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   24  0.5350  0.0029  0.0927  0.3912  0.5124  0.45
Morozova 2008   65  0.3880  0.0057  0.0550  0.0558  0.0577  0.05
Neighaus 1950   84  0.2585  0.0085  0.0461  0.0461  0.0485  0.04
Niedzielski 1931   75  0.3575  0.0073  0.0381  0.0322  0.3360  0.10
Ohlsson 1999   58  0.4259  0.0044  0.0543  0.1024  0.4043  0.20
Osinska 1989   18  0.5411  0.0314  0.1210  0.6025  0.5214  0.56
Pachmann 1927   81  0.3064  0.0083  0.0384  0.0337  0.2269  0.08
Paderewski 1930   88  0.0481  0.0087  0.0287  0.0283  0.0287  0.02
Perlemuter 1992   72  0.3629  0.0080  0.0379  0.0336  0.2265  0.08
Pierdomenico 2008   83  0.2630  0.0084  0.0476  0.0441  0.1667  0.08
Poblocka 1999   2  0.614  0.075  0.114  0.684  0.673  0.67
Rabcewiczowa 1932   62  0.4070  0.0049  0.0551  0.0541  0.1268  0.08
Rachmaninoff 1923   34  0.5017  0.0231  0.1034  0.2416  0.4932  0.34
Rangell 2001   73  0.3624  0.0079  0.0382  0.0352  0.0684  0.04
Richter 1976   45  0.4571  0.0056  0.0473  0.0439  0.2062  0.09
Rosen 1989   31  0.5010  0.0315  0.1015  0.534  0.6511  0.59
Rosenthal 1930   52  0.4347  0.0067  0.0457  0.0430  0.3555  0.12
Rosenthal 1931   61  0.4039  0.0062  0.0553  0.0526  0.3949  0.14
Rosenthal 1931b   66  0.3848  0.0074  0.0380  0.0322  0.3758  0.11
Rosenthal 1931c   56  0.4290  0.0060  0.0556  0.0525  0.3654  0.13
Rosenthal 1931d   59  0.4161  0.0061  0.0468  0.0412  0.5150  0.14
Rossi 2007   80  0.3040  0.0082  0.0552  0.0544  0.1072  0.07
Rubinstein 1939   35  0.4973  0.0033  0.0731  0.3118  0.4729  0.38
Rubinstein 1952   4  0.6112  0.036  0.142  0.715  0.672  0.69
Rubinstein 1966   3  0.613  0.114  0.133  0.6917  0.625  0.65
Schilhawsky 1960   40  0.4676  0.0054  0.0463  0.0442  0.1770  0.08
Shebanova 2002   37  0.4735  0.0036  0.0836  0.2116  0.4435  0.30
Smith 1975   57  0.4228  0.0064  0.0471  0.0453  0.0676  0.05
Sokolov 2002   47  0.4438  0.0042  0.0541  0.127  0.5638  0.26
Sztompka 1959   70  0.3741  0.0072  0.0383  0.0369  0.0486  0.03
Tomsic 1995   8  0.582  0.133  0.125  0.671  0.741  0.70
Uninsky 1932   69  0.3786  0.0077  0.0465  0.0446  0.0778  0.05
Uninsky 1971   36  0.4831  0.0048  0.0647  0.0638  0.2751  0.13
Wasowski 1980   41  0.4663  0.0052  0.0646  0.0641  0.1759  0.10
Zak 1937   32  0.5027  0.0045  0.0549  0.0529  0.3947  0.14
Zak 1951   28  0.5232  0.0034  0.0835  0.2122  0.4234  0.30
Random 1   90  -0.0882  0.0090  0.0190  0.0179  0.0290  0.01
Random 2   87  0.0751  0.0088  0.0288  0.0219  0.3271  0.08
Random 3   89  -0.0777  0.0089  0.0189  0.0172  0.0389  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).