Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.4575  0.0046  0.0455  0.0434  0.1670  0.08
Anderszewski 2003   36  0.494  0.0311  0.1110  0.4210  0.5210  0.47
Ashkenazy 1981   24  0.5335  0.0015  0.0611  0.4020  0.4017  0.40
Bacha 2000   82  0.2640  0.0075  0.0381  0.0330  0.3357  0.10
Badura 1965   48  0.4659  0.0067  0.0378  0.0331  0.2665  0.09
Barbosa 1983   47  0.4653  0.0055  0.0460  0.0439  0.2461  0.10
Biret 1990   68  0.3663  0.0065  0.0374  0.0332  0.2471  0.08
Blet 2003   43  0.4751  0.0048  0.0449  0.0430  0.2954  0.11
Block 1995   14  0.547  0.0213  0.0617  0.374  0.6011  0.47
Blumental 1952   81  0.3055  0.0076  0.0288  0.0248  0.0588  0.03
Boshniakovich 1969   30  0.5041  0.0033  0.0633  0.2310  0.5820  0.37
Brailowsky 1960   35  0.4976  0.0045  0.0544  0.1015  0.4342  0.21
Bunin 1987   17  0.5387  0.0016  0.0615  0.3813  0.4614  0.42
Bunin 1987b   18  0.5382  0.0017  0.0716  0.3813  0.4613  0.42
Chiu 1999   38  0.4831  0.0071  0.0453  0.0444  0.1372  0.07
Cohen 1997   79  0.3029  0.0083  0.0461  0.0447  0.0680  0.05
Cortot 1951   70  0.3538  0.0080  0.0385  0.0339  0.1676  0.07
Csalog 1996   87  0.1850  0.0085  0.0286  0.0257  0.0586  0.03
Czerny 1949   34  0.4943  0.0028  0.0527  0.2616  0.5618  0.38
Czerny 1990   33  0.5062  0.0036  0.0632  0.2424  0.2835  0.26
Duchoud 2007   62  0.3978  0.0061  0.0451  0.0445  0.0978  0.06
Ezaki 2006   9  0.5688  0.0023  0.0820  0.3328  0.2931  0.31
Falvay 1989   26  0.5252  0.0034  0.0635  0.2020  0.3237  0.25
Farrell 1958   75  0.3384  0.0079  0.0379  0.0332  0.2564  0.09
Ferenczy 1958   77  0.3281  0.0082  0.0380  0.0335  0.1775  0.07
Fliere 1977   8  0.5614  0.0122  0.0719  0.3524  0.3721  0.36
Fou 1978   21  0.5318  0.0121  0.0722  0.3227  0.3823  0.35
Francois 1956   29  0.5171  0.0020  0.0726  0.2615  0.4429  0.34
Friedman 1923   86  0.2134  0.0088  0.0459  0.0454  0.0681  0.05
Friedman 1923b   85  0.2265  0.0087  0.0458  0.0461  0.0584  0.04
Friedman 1930   59  0.4019  0.0172  0.0373  0.0337  0.2169  0.08
Garcia 2007   72  0.3410  0.0174  0.0371  0.037  0.6446  0.14
Garcia 2007b   83  0.2673  0.0086  0.0375  0.0350  0.0585  0.04
Gierzod 1998   54  0.4379  0.0049  0.0548  0.0520  0.2849  0.12
Gornostaeva 1994   19  0.5316  0.0112  0.0812  0.3914  0.4415  0.41
Groot 1988   20  0.5337  0.0018  0.0721  0.3220  0.3825  0.35
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   76  0.3368  0.0051  0.0368  0.0326  0.2866  0.09
Hatto 1997   78  0.3089  0.0029  0.0645  0.1025  0.2944  0.17
Horowitz 1949   40  0.4811  0.0138  0.0638  0.1814  0.3934  0.26
Indjic 1988   80  0.3072  0.0054  0.0465  0.0426  0.2760  0.10
Kapell 1951   45  0.4749  0.0024  0.0634  0.2312  0.4927  0.34
Kissin 1993   27  0.5144  0.0032  0.0628  0.2426  0.3233  0.28
Kushner 1989   37  0.4970  0.0040  0.0537  0.1833  0.2243  0.20
Luisada 1991   42  0.4760  0.0047  0.0462  0.0431  0.2851  0.11
Lushtak 2004   12  0.5539  0.0030  0.0523  0.3120  0.4319  0.37
Malcuzynski 1961   4  0.5912  0.012  0.273  0.564  0.603  0.58
Magaloff 1978   23  0.5347  0.008  0.0914  0.3816  0.3522  0.36
Magin 1975   28  0.5177  0.0026  0.0624  0.2913  0.4126  0.34
Michalowski 1933   52  0.4336  0.0059  0.0454  0.0435  0.2659  0.10
Milkina 1970   46  0.4628  0.0031  0.0531  0.249  0.4630  0.33
Mohovich 1999   7  0.5724  0.0010  0.147  0.469  0.597  0.52
Moravec 1969   57  0.4132  0.0052  0.0463  0.0427  0.2558  0.10
Morozova 2008   22  0.5366  0.0039  0.0441  0.1451  0.0568  0.08
Neighaus 1950   5  0.586  0.023  0.192  0.563  0.652  0.60
Niedzielski 1931   84  0.2546  0.0084  0.0369  0.0330  0.1773  0.07
Ohlsson 1999   53  0.438  0.0253  0.0450  0.0442  0.1274  0.07
Osinska 1989   32  0.505  0.0242  0.0436  0.1920  0.3336  0.25
Pachmann 1927   63  0.3858  0.0058  0.0546  0.0526  0.3447  0.13
Paderewski 1930   56  0.4127  0.0070  0.0466  0.0436  0.1767  0.08
Perlemuter 1992   3  0.6322  0.019  0.119  0.426  0.628  0.51
Pierdomenico 2008   31  0.5085  0.0044  0.0640  0.1616  0.3938  0.25
Poblocka 1999   71  0.3564  0.0062  0.0372  0.0347  0.0582  0.04
Rabcewiczowa 1932   51  0.4420  0.0150  0.0456  0.0417  0.5045  0.14
Rachmaninoff 1923   41  0.4867  0.0027  0.0829  0.2420  0.3932  0.31
Rangell 2001   55  0.4121  0.0143  0.0543  0.1317  0.3741  0.22
Richter 1976   11  0.5530  0.0014  0.0618  0.365  0.4516  0.40
Rosen 1989   39  0.4842  0.0041  0.0442  0.1423  0.3540  0.22
Rosenthal 1930   66  0.3745  0.0064  0.0367  0.0329  0.3662  0.10
Rosenthal 1931   61  0.3990  0.0066  0.0370  0.0319  0.4453  0.11
Rosenthal 1931b   69  0.3669  0.0068  0.0376  0.0318  0.4256  0.11
Rosenthal 1931c   65  0.3717  0.0163  0.0377  0.0326  0.3363  0.10
Rosenthal 1931d   74  0.3386  0.0069  0.0452  0.0418  0.3650  0.12
Rossi 2007   58  0.4156  0.0081  0.0382  0.0312  0.3752  0.11
Rubinstein 1939   88  0.1533  0.0078  0.0384  0.0346  0.0683  0.04
Rubinstein 1952   64  0.3723  0.0056  0.0464  0.0439  0.1477  0.07
Rubinstein 1966   73  0.3474  0.0057  0.0457  0.0429  0.3155  0.11
Schilhawsky 1960   10  0.5526  0.0035  0.0530  0.248  0.5224  0.35
Shebanova 2002   60  0.3948  0.0077  0.0287  0.0255  0.0687  0.03
Smith 1975   2  0.663  0.054  0.154  0.526  0.574  0.54
Sokolov 2002   13  0.559  0.017  0.095  0.493  0.566  0.52
Sztompka 1959   49  0.4657  0.0060  0.0547  0.0532  0.2848  0.12
Tomsic 1995   6  0.5813  0.016  0.118  0.455  0.589  0.51
Uninsky 1932   15  0.5415  0.0125  0.0625  0.2715  0.4328  0.34
Uninsky 1971   25  0.522  0.065  0.136  0.476  0.615  0.54
Wasowski 1980   67  0.3625  0.0073  0.0383  0.0347  0.0779  0.05
Zak 1937   44  0.4761  0.0037  0.0639  0.1721  0.3839  0.25
Zak 1951   16  0.5454  0.0019  0.0613  0.3810  0.5212  0.44
Average   1  0.681  0.581  0.571  0.764  0.591  0.67
Random 1   91  -0.0780  0.0091  0.0191  0.0169  0.0390  0.02
Random 2   90  -0.0791  0.0089  0.0289  0.0282  0.0289  0.02
Random 3   89  -0.0783  0.0090  0.0190  0.0179  0.0291  0.01

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).