Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.3962  0.0030  0.0727  0.3221  0.4929  0.40
Anderszewski 2003   55  0.3770  0.0039  0.0634  0.2410  0.5930  0.38
Ashkenazy 1981   33  0.4132  0.0048  0.0649  0.0670  0.0576  0.05
Bacha 2000   73  0.2928  0.0043  0.0645  0.1127  0.3643  0.20
Badura 1965   77  0.2443  0.0086  0.0387  0.0380  0.0387  0.03
Barbosa 1983   28  0.4218  0.0032  0.0741  0.1525  0.4041  0.24
Biret 1990   64  0.3290  0.0057  0.0565  0.0516  0.5945  0.17
Blet 2003   10  0.4838  0.0025  0.0921  0.4312  0.6417  0.52
Block 1995   2  0.6011  0.012  0.202  0.773  0.791  0.78
Blumental 1952   68  0.3158  0.0070  0.0652  0.0637  0.2157  0.11
Boshniakovich 1969   24  0.4441  0.0012  0.1111  0.5513  0.5914  0.57
Brailowsky 1960   54  0.3771  0.0042  0.0739  0.1811  0.6132  0.33
Bunin 1987   80  0.2286  0.0082  0.0382  0.0362  0.0582  0.04
Bunin 1987b   79  0.2263  0.0083  0.0477  0.0457  0.0671  0.05
Chiu 1999   5  0.5316  0.0033  0.0744  0.1448  0.0956  0.11
Cohen 1997   50  0.389  0.0134  0.0638  0.1925  0.4634  0.30
Cortot 1951   61  0.3633  0.0055  0.0471  0.0427  0.4354  0.13
Csalog 1996   41  0.4036  0.0067  0.0746  0.0729  0.3446  0.15
Czerny 1949   69  0.3065  0.0035  0.0536  0.2118  0.6931  0.38
Czerny 1990   75  0.2866  0.0069  0.0655  0.0656  0.0770  0.06
Duchoud 2007   66  0.3187  0.0068  0.0650  0.0655  0.0668  0.06
Ezaki 2006   72  0.3083  0.0071  0.0563  0.0544  0.1859  0.09
Falvay 1989   71  0.3073  0.0073  0.0564  0.0559  0.0478  0.04
Farrell 1958   83  0.2277  0.0080  0.0472  0.0461  0.0579  0.04
Ferenczy 1958   82  0.2245  0.0078  0.0381  0.0334  0.5353  0.13
Fliere 1977   7  0.5110  0.0120  0.0919  0.4637  0.4523  0.45
Fou 1978   36  0.4174  0.0038  0.0633  0.2431  0.3635  0.29
Francois 1956   23  0.4478  0.0026  0.0918  0.4615  0.6715  0.56
Friedman 1923   37  0.4126  0.0065  0.0560  0.0549  0.0966  0.07
Friedman 1923b   35  0.4159  0.0059  0.0470  0.0450  0.0969  0.06
Friedman 1930   30  0.4220  0.0061  0.0474  0.0443  0.1864  0.08
Garcia 2007   40  0.405  0.0310  0.1112  0.5310  0.6412  0.58
Garcia 2007b   84  0.1860  0.0084  0.0384  0.0377  0.0389  0.03
Gierzod 1998   78  0.2375  0.0074  0.0557  0.0563  0.0574  0.05
Gornostaeva 1994   17  0.454  0.056  0.1510  0.5510  0.718  0.62
Groot 1988   32  0.4242  0.0031  0.0724  0.4042  0.1739  0.26
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   18  0.4446  0.0028  0.0931  0.2633  0.2836  0.27
Hatto 1997   57  0.3679  0.0056  0.0469  0.0433  0.2262  0.09
Horowitz 1949   58  0.3653  0.0066  0.0648  0.0643  0.1858  0.10
Indjic 1988   48  0.3961  0.0050  0.0654  0.0657  0.0767  0.06
Kapell 1951   26  0.4219  0.0017  0.1123  0.4222  0.4027  0.41
Kissin 1993   74  0.2939  0.0072  0.0468  0.0459  0.0672  0.05
Kushner 1989   70  0.3057  0.0076  0.0388  0.0357  0.0580  0.04
Luisada 1991   43  0.4049  0.0045  0.0743  0.1442  0.2444  0.18
Lushtak 2004   65  0.3217  0.0077  0.0475  0.0447  0.0675  0.05
Malcuzynski 1961   44  0.4080  0.0058  0.0467  0.0437  0.1961  0.09
Magaloff 1978   51  0.3837  0.0046  0.0651  0.0637  0.3050  0.13
Magin 1975   53  0.3764  0.0063  0.0562  0.0536  0.3351  0.13
Michalowski 1933   20  0.4415  0.0122  0.0925  0.3812  0.5424  0.45
Milkina 1970   42  0.4034  0.0013  0.0915  0.509  0.6513  0.57
Mohovich 1999   11  0.4840  0.009  0.138  0.588  0.677  0.62
Moravec 1969   9  0.508  0.015  0.295  0.672  0.774  0.72
Morozova 2008   39  0.4030  0.0049  0.0653  0.0672  0.0473  0.05
Neighaus 1950   4  0.543  0.083  0.203  0.743  0.753  0.74
Niedzielski 1931   56  0.3647  0.0062  0.0466  0.0442  0.1763  0.08
Ohlsson 1999   6  0.5227  0.008  0.117  0.5913  0.6011  0.59
Osinska 1989   3  0.562  0.084  0.264  0.693  0.802  0.74
Pachmann 1927   21  0.4450  0.0044  0.0542  0.1427  0.4837  0.26
Paderewski 1930   52  0.3855  0.0064  0.0558  0.0537  0.3252  0.13
Perlemuter 1992   12  0.4831  0.0021  0.0722  0.4213  0.6616  0.53
Pierdomenico 2008   59  0.3651  0.0053  0.0559  0.0523  0.3948  0.14
Poblocka 1999   63  0.3454  0.0040  0.0637  0.2033  0.3040  0.24
Rabcewiczowa 1932   60  0.367  0.0314  0.0826  0.3719  0.6520  0.49
Rachmaninoff 1923   67  0.3176  0.0054  0.0473  0.0437  0.2160  0.09
Rangell 2001   38  0.4067  0.0027  0.0920  0.458  0.5421  0.49
Richter 1976   14  0.4752  0.0051  0.0747  0.0745  0.2849  0.14
Rosen 1989   8  0.5129  0.007  0.106  0.628  0.666  0.64
Rosenthal 1930   76  0.2468  0.0075  0.0383  0.0351  0.0681  0.04
Rosenthal 1931   86  0.1288  0.0087  0.0380  0.0364  0.0485  0.03
Rosenthal 1931b   85  0.1484  0.0085  0.0386  0.0362  0.0488  0.03
Rosenthal 1931c   81  0.2281  0.0079  0.0378  0.0352  0.0584  0.04
Rosenthal 1931d   88  0.1089  0.0081  0.0379  0.0349  0.0683  0.04
Rossi 2007   87  0.1272  0.0088  0.0385  0.0347  0.0677  0.04
Rubinstein 1939   47  0.3912  0.0136  0.0835  0.229  0.4533  0.31
Rubinstein 1952   19  0.4421  0.0011  0.109  0.566  0.669  0.61
Rubinstein 1966   16  0.4682  0.0018  0.1514  0.529  0.4919  0.50
Schilhawsky 1960   29  0.4213  0.0160  0.0476  0.0413  0.5347  0.15
Shebanova 2002   34  0.4144  0.0052  0.0561  0.0549  0.0965  0.07
Smith 1975   25  0.4314  0.0129  0.0728  0.3213  0.6125  0.44
Sokolov 2002   13  0.4835  0.0015  0.0813  0.525  0.7010  0.60
Sztompka 1959   46  0.3948  0.0037  0.0532  0.2639  0.2638  0.26
Tomsic 1995   62  0.3524  0.0041  0.0740  0.1622  0.3142  0.22
Uninsky 1932   15  0.4625  0.0016  0.1016  0.4921  0.4522  0.47
Uninsky 1971   22  0.4422  0.0019  0.1017  0.489  0.5218  0.50
Wasowski 1980   49  0.3969  0.0047  0.0556  0.0542  0.2355  0.11
Zak 1937   31  0.4223  0.0023  0.0730  0.3016  0.5328  0.40
Zak 1951   27  0.426  0.0324  0.1329  0.3112  0.6126  0.43
Average   1  0.701  0.571  0.561  0.889  0.595  0.72
Random 1   90  -0.0456  0.0090  0.0190  0.0179  0.0291  0.01
Random 2   89  -0.0191  0.0089  0.0289  0.0261  0.0586  0.03
Random 3   91  -0.0585  0.0091  0.0191  0.0155  0.0390  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).