Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8220  0.0110  0.119  0.4912  0.4511  0.47
Anderszewski 2003   3  0.8222  0.0123  0.0815  0.405  0.4619  0.43
Ashkenazy 1981   32  0.7351  0.0017  0.0618  0.389  0.4721  0.42
Bacha 2000   67  0.5780  0.0073  0.0467  0.0473  0.0382  0.03
Badura 1965   5  0.8113  0.0124  0.1024  0.324  0.6016  0.44
Barbosa 1983   71  0.5652  0.0072  0.0380  0.0355  0.0578  0.04
Biret 1990   57  0.6421  0.0152  0.0556  0.0534  0.1859  0.09
Blet 2003   52  0.6527  0.0064  0.0554  0.0552  0.0671  0.05
Block 1995   33  0.7346  0.0033  0.0542  0.113  0.4537  0.22
Blumental 1952   63  0.6037  0.0057  0.0553  0.0533  0.1362  0.08
Boshniakovich 1969   6  0.803  0.134  0.225  0.532  0.624  0.57
Brailowsky 1960   54  0.6558  0.0070  0.0468  0.0451  0.0573  0.04
Bunin 1987   68  0.5681  0.0039  0.0435  0.1511  0.4935  0.27
Bunin 1987b   72  0.5590  0.0038  0.0434  0.1611  0.4932  0.28
Chiu 1999   38  0.7248  0.0055  0.0566  0.0531  0.2352  0.11
Cohen 1997   82  0.3863  0.0088  0.0385  0.0377  0.0386  0.03
Cortot 1951   36  0.7328  0.0025  0.0625  0.323  0.6117  0.44
Csalog 1996   83  0.3718  0.0167  0.0470  0.0447  0.0579  0.04
Czerny 1949   9  0.785  0.067  0.1210  0.4516  0.5110  0.48
Czerny 1990   37  0.7215  0.0154  0.0471  0.0444  0.1068  0.06
Duchoud 2007   61  0.6275  0.0040  0.0445  0.098  0.4638  0.20
Ezaki 2006   2  0.866  0.056  0.134  0.562  0.613  0.58
Falvay 1989   78  0.4614  0.0187  0.0383  0.0362  0.0574  0.04
Farrell 1958   53  0.6572  0.0068  0.0477  0.0446  0.1163  0.07
Ferenczy 1958   43  0.6932  0.0063  0.0560  0.0520  0.3348  0.13
Fliere 1977   7  0.7930  0.0011  0.0911  0.4419  0.3822  0.41
Fou 1978   26  0.7434  0.0048  0.0559  0.0525  0.3049  0.12
Francois 1956   70  0.5644  0.0076  0.0555  0.0557  0.0481  0.04
Friedman 1923   10  0.7891  0.0034  0.0632  0.1812  0.5230  0.31
Friedman 1923b   12  0.7749  0.0031  0.0731  0.2212  0.5428  0.34
Friedman 1930   14  0.7642  0.0047  0.0746  0.079  0.5440  0.19
Garcia 2007   41  0.7188  0.0049  0.0647  0.0619  0.3847  0.15
Garcia 2007b   50  0.6667  0.0042  0.0439  0.1231  0.2843  0.18
Gierzod 1998   34  0.7323  0.0128  0.1027  0.3125  0.3429  0.32
Gornostaeva 1994   58  0.6368  0.0062  0.0561  0.0530  0.2058  0.10
Groot 1988   65  0.6082  0.0060  0.0558  0.0532  0.2655  0.11
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   27  0.7443  0.0045  0.0641  0.1232  0.2445  0.17
Hatto 1997   17  0.7661  0.0044  0.0640  0.1230  0.2544  0.17
Horowitz 1949   8  0.7912  0.029  0.147  0.502  0.596  0.54
Indjic 1988   15  0.7626  0.0143  0.0438  0.1330  0.2542  0.18
Kapell 1951   56  0.644  0.065  0.136  0.522  0.488  0.50
Kissin 1993   20  0.7631  0.0021  0.0912  0.4311  0.4912  0.46
Kushner 1989   46  0.6833  0.0058  0.0565  0.0555  0.0570  0.05
Luisada 1991   22  0.7576  0.0046  0.0562  0.0541  0.1360  0.08
Lushtak 2004   40  0.7124  0.0156  0.0651  0.0624  0.2450  0.12
Malcuzynski 1961   51  0.659  0.0313  0.0928  0.301  0.6218  0.43
Magaloff 1978   75  0.4985  0.0080  0.0384  0.0377  0.0484  0.03
Magin 1975   42  0.7036  0.0015  0.0720  0.3715  0.4523  0.41
Michalowski 1933   48  0.6764  0.0037  0.0533  0.1715  0.4434  0.27
Milkina 1970   29  0.748  0.0314  0.0826  0.3214  0.4824  0.39
Mohovich 1999   49  0.6653  0.0051  0.0649  0.0639  0.2154  0.11
Moravec 1969   80  0.4459  0.0082  0.0379  0.0377  0.0383  0.03
Morozova 2008   23  0.7586  0.0036  0.0537  0.1327  0.2739  0.19
Neighaus 1950   30  0.7462  0.0022  0.0822  0.3321  0.4027  0.36
Niedzielski 1931   59  0.6373  0.0059  0.0475  0.0475  0.0385  0.03
Ohlsson 1999   45  0.6819  0.0127  0.0823  0.3217  0.4026  0.36
Osinska 1989   21  0.7629  0.0032  0.0630  0.2227  0.3433  0.27
Pachmann 1927   60  0.6377  0.0071  0.0474  0.0425  0.2756  0.10
Paderewski 1930   66  0.6050  0.0069  0.0381  0.0338  0.1465  0.06
Perlemuter 1992   28  0.7487  0.0053  0.0648  0.0635  0.1951  0.11
Pierdomenico 2008   79  0.4438  0.0074  0.0469  0.0453  0.0669  0.05
Poblocka 1999   35  0.7310  0.028  0.138  0.508  0.547  0.52
Rabcewiczowa 1932   73  0.5445  0.0075  0.0564  0.0578  0.0477  0.04
Rachmaninoff 1923   25  0.7470  0.0041  0.0536  0.1417  0.3536  0.22
Rangell 2001   81  0.4365  0.0061  0.0650  0.0611  0.4146  0.16
Richter 1976   24  0.7511  0.0220  0.0816  0.405  0.619  0.49
Rosen 1989   47  0.6741  0.0050  0.0652  0.0636  0.1757  0.10
Rosenthal 1930   76  0.4939  0.0066  0.0557  0.0523  0.2553  0.11
Rosenthal 1931   86  0.3483  0.0083  0.0287  0.0284  0.0390  0.02
Rosenthal 1931b   85  0.3474  0.0084  0.0288  0.0256  0.0588  0.03
Rosenthal 1931c   87  0.3155  0.0085  0.0286  0.0255  0.0489  0.03
Rosenthal 1931d   84  0.3589  0.0086  0.0382  0.0366  0.0487  0.03
Rossi 2007   62  0.627  0.0377  0.0476  0.0436  0.1561  0.08
Rubinstein 1939   74  0.5369  0.0078  0.0473  0.0459  0.0576  0.04
Rubinstein 1952   88  0.3056  0.0081  0.0378  0.0370  0.0580  0.04
Rubinstein 1966   69  0.5640  0.0030  0.0544  0.0964  0.0466  0.06
Schilhawsky 1960   19  0.7625  0.0119  0.0819  0.3712  0.5413  0.45
Shebanova 2002   39  0.7217  0.0129  0.1521  0.3332  0.2731  0.30
Smith 1975   55  0.6471  0.0065  0.0472  0.0471  0.0475  0.04
Sokolov 2002   64  0.6078  0.0026  0.0729  0.286  0.4825  0.37
Sztompka 1959   13  0.7747  0.0016  0.0713  0.4315  0.4120  0.42
Tomsic 1995   77  0.4835  0.0079  0.0563  0.0554  0.0764  0.06
Uninsky 1932   18  0.7660  0.0018  0.0617  0.398  0.5214  0.45
Uninsky 1971   44  0.6916  0.0112  0.0914  0.426  0.4715  0.44
Wasowski 1980   31  0.7357  0.0035  0.0543  0.1118  0.3041  0.18
Zak 1937   11  0.781  0.201  0.202  0.583  0.641  0.61
Zak 1951   16  0.7654  0.002  0.183  0.563  0.632  0.59
Average   1  0.862  0.183  0.181  0.6811  0.455  0.55
Random 1   90  -0.1584  0.0089  0.0190  0.0119  0.2872  0.05
Random 2   91  -0.1579  0.0091  0.0191  0.0164  0.0391  0.02
Random 3   89  -0.1366  0.0090  0.0189  0.0119  0.3867  0.06

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).