Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.4166  0.0053  0.0649  0.0618  0.4952  0.17
Anderszewski 2003   26  0.4962  0.0024  0.1019  0.484  0.7216  0.59
Ashkenazy 1981   60  0.4031  0.0067  0.0560  0.0549  0.0876  0.06
Bacha 2000   77  0.3375  0.0070  0.0565  0.0519  0.4058  0.14
Badura 1965   74  0.3457  0.0078  0.0559  0.0555  0.0486  0.04
Barbosa 1983   5  0.5433  0.0016  0.0912  0.553  0.7410  0.64
Biret 1990   54  0.4346  0.0043  0.0743  0.159  0.6542  0.31
Blet 2003   46  0.4519  0.0062  0.0570  0.0522  0.4657  0.15
Block 1995   8  0.538  0.0117  0.0816  0.524  0.7412  0.62
Blumental 1952   55  0.4363  0.0038  0.0642  0.1523  0.4843  0.27
Boshniakovich 1969   16  0.5037  0.0011  0.1710  0.585  0.7111  0.64
Brailowsky 1960   53  0.4369  0.0056  0.0650  0.0613  0.6546  0.20
Bunin 1987   82  0.2970  0.0086  0.0286  0.0276  0.0390  0.02
Bunin 1987b   83  0.2978  0.0087  0.0482  0.0480  0.0388  0.03
Chiu 1999   36  0.4753  0.0063  0.0654  0.0630  0.2364  0.12
Cohen 1997   68  0.385  0.0158  0.0569  0.0528  0.4955  0.16
Cortot 1951   66  0.3838  0.0065  0.0652  0.0613  0.6047  0.19
Csalog 1996   52  0.4383  0.0060  0.0563  0.0520  0.3662  0.13
Czerny 1949   25  0.4911  0.008  0.127  0.607  0.805  0.69
Czerny 1990   11  0.5114  0.006  0.155  0.6311  0.756  0.69
Duchoud 2007   86  0.2488  0.0088  0.0480  0.0462  0.0584  0.04
Ezaki 2006   34  0.4735  0.0040  0.0637  0.2315  0.5837  0.37
Falvay 1989   42  0.4664  0.0048  0.0846  0.0830  0.3253  0.16
Farrell 1958   71  0.3658  0.0064  0.0573  0.0531  0.2567  0.11
Ferenczy 1958   72  0.3550  0.0073  0.0574  0.0527  0.5551  0.17
Fliere 1977   4  0.5527  0.0020  0.1013  0.5420  0.4921  0.51
Fou 1978   9  0.5271  0.0013  0.138  0.595  0.699  0.64
Francois 1956   57  0.4176  0.0052  0.0562  0.0511  0.6850  0.18
Friedman 1923   65  0.3956  0.0071  0.0572  0.0535  0.2669  0.11
Friedman 1923b   63  0.4045  0.0069  0.0557  0.0530  0.3960  0.14
Friedman 1930   61  0.4025  0.0068  0.0648  0.0635  0.2366  0.12
Garcia 2007   69  0.3810  0.0144  0.0644  0.1211  0.5745  0.26
Garcia 2007b   79  0.3149  0.0074  0.0561  0.0550  0.0683  0.05
Gierzod 1998   35  0.4755  0.0026  0.1024  0.4312  0.6023  0.51
Gornostaeva 1994   22  0.4941  0.0025  0.0922  0.456  0.6820  0.55
Groot 1988   62  0.4080  0.0050  0.0568  0.0544  0.1175  0.07
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   7  0.5351  0.0015  0.0911  0.5811  0.6117  0.59
Hatto 1997   30  0.4872  0.0030  0.0727  0.4117  0.5230  0.46
Horowitz 1949   75  0.3352  0.0077  0.0476  0.0439  0.2273  0.09
Indjic 1988   19  0.5054  0.0027  0.0823  0.4315  0.5825  0.50
Kapell 1951   13  0.5134  0.0019  0.0818  0.4911  0.5124  0.50
Kissin 1993   37  0.4720  0.0041  0.0741  0.1813  0.6639  0.34
Kushner 1989   47  0.4547  0.0046  0.0747  0.0740  0.1571  0.10
Luisada 1991   56  0.4273  0.0066  0.0571  0.0556  0.0679  0.05
Lushtak 2004   45  0.4682  0.0055  0.0564  0.0523  0.4259  0.14
Malcuzynski 1961   21  0.5032  0.0028  0.0825  0.4211  0.5628  0.48
Magaloff 1978   43  0.4615  0.0037  0.0638  0.2213  0.5140  0.33
Magin 1975   44  0.4648  0.0047  0.0651  0.0617  0.5448  0.18
Michalowski 1933   76  0.3330  0.0076  0.0478  0.0427  0.3765  0.12
Milkina 1970   10  0.5239  0.005  0.214  0.662  0.813  0.73
Mohovich 1999   18  0.5026  0.0014  0.0817  0.526  0.6915  0.60
Moravec 1969   6  0.536  0.014  0.209  0.582  0.758  0.66
Morozova 2008   48  0.4479  0.0051  0.0558  0.0532  0.3463  0.13
Neighaus 1950   38  0.4743  0.0042  0.0939  0.197  0.5441  0.32
Niedzielski 1931   73  0.3544  0.0072  0.0566  0.0545  0.1074  0.07
Ohlsson 1999   17  0.5060  0.0031  0.0929  0.366  0.5732  0.45
Osinska 1989   2  0.632  0.062  0.522  0.822  0.841  0.83
Pachmann 1927   67  0.3874  0.0075  0.0567  0.0531  0.3361  0.13
Paderewski 1930   81  0.3077  0.0079  0.0556  0.0540  0.2668  0.11
Perlemuter 1992   49  0.4440  0.0057  0.0477  0.0410  0.5656  0.15
Pierdomenico 2008   64  0.3961  0.0054  0.0575  0.0511  0.5454  0.16
Poblocka 1999   40  0.4667  0.0029  0.0734  0.3117  0.5234  0.40
Rabcewiczowa 1932   58  0.413  0.039  0.1226  0.4212  0.6122  0.51
Rachmaninoff 1923   70  0.3785  0.0059  0.0479  0.0438  0.2370  0.10
Rangell 2001   39  0.4629  0.0035  0.0831  0.332  0.7029  0.48
Richter 1976   12  0.519  0.0123  0.1033  0.3222  0.5533  0.42
Rosen 1989   23  0.4959  0.0034  0.0836  0.3010  0.5036  0.39
Rosenthal 1930   78  0.3186  0.0082  0.0384  0.0351  0.0685  0.04
Rosenthal 1931   84  0.2589  0.0085  0.0385  0.0347  0.0780  0.05
Rosenthal 1931b   87  0.2481  0.0084  0.0287  0.0240  0.1878  0.06
Rosenthal 1931c   80  0.3087  0.0080  0.0481  0.0452  0.0587  0.04
Rosenthal 1931d   88  0.2190  0.0083  0.0288  0.0236  0.1777  0.06
Rossi 2007   85  0.2491  0.0081  0.0383  0.0332  0.2972  0.09
Rubinstein 1939   41  0.4617  0.0032  0.0830  0.358  0.5931  0.45
Rubinstein 1952   14  0.5124  0.0010  0.156  0.624  0.737  0.67
Rubinstein 1966   3  0.5616  0.003  0.333  0.697  0.724  0.70
Schilhawsky 1960   31  0.4812  0.0049  0.0653  0.0610  0.5349  0.18
Shebanova 2002   50  0.4465  0.0061  0.0655  0.0675  0.0581  0.05
Smith 1975   32  0.4821  0.0039  0.0740  0.195  0.6838  0.36
Sokolov 2002   33  0.4736  0.0033  0.0832  0.323  0.7227  0.48
Sztompka 1959   24  0.4922  0.0012  0.1020  0.489  0.6718  0.57
Tomsic 1995   51  0.4318  0.0045  0.0645  0.127  0.5744  0.26
Uninsky 1932   29  0.4813  0.007  0.1214  0.549  0.6814  0.61
Uninsky 1971   15  0.5123  0.0022  0.1015  0.544  0.6813  0.61
Wasowski 1980   28  0.4828  0.0036  0.0835  0.3018  0.5235  0.39
Zak 1937   20  0.504  0.0118  0.1021  0.465  0.6819  0.56
Zak 1951   27  0.497  0.0121  0.1028  0.387  0.6426  0.49
Average   1  0.741  0.791  0.781  0.922  0.752  0.83
Random 1   90  -0.0468  0.0091  0.0191  0.0183  0.0291  0.01
Random 2   89  0.0184  0.0089  0.0289  0.0264  0.0489  0.03
Random 3   91  -0.0642  0.0090  0.0190  0.0132  0.2182  0.05

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).