Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   17  0.8922  0.0022  0.1815  0.4913  0.449  0.46
Bacha 1997   11  0.906  0.0213  0.1918  0.4819  0.477  0.47
Barbosa 1983   7  0.912  0.217  0.322  0.695  0.622  0.65
Biret 1990   4  0.925  0.094  0.227  0.5417  0.544  0.54
Block 1995   41  0.7518  0.0044  0.0645  0.0632  0.0745  0.06
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   34  0.8126  0.0034  0.0932  0.0943  0.0538  0.07
Clidat 1994   8  0.919  0.028  0.2213  0.5013  0.3616  0.42
Cohen 1997   38  0.7845  0.0040  0.0547  0.0543  0.0747  0.06
Cortot 1951   20  0.8940  0.0021  0.1723  0.4017  0.4913  0.44
Csalog 1996   19  0.8914  0.0118  0.1919  0.4726  0.1422  0.26
Czerny 1990   18  0.8910  0.0217  0.183  0.6419  0.2914  0.43
Ezaki 2006   24  0.8620  0.0025  0.1125  0.2042  0.0627  0.11
Ferenczy 1958   32  0.8241  0.0035  0.1030  0.1043  0.0537  0.07
Fliere 1977   23  0.8742  0.0023  0.2022  0.4029  0.0924  0.19
Fou 1978   40  0.7630  0.0043  0.0835  0.0846  0.0546  0.06
Francois 1956   14  0.9031  0.0019  0.1721  0.4315  0.4711  0.45
Grinberg 1951   30  0.8515  0.0029  0.0741  0.0730  0.1132  0.09
Hatto 1993   9  0.9012  0.0116  0.1410  0.5025  0.2120  0.32
Hatto 1997   12  0.9019  0.0015  0.139  0.5124  0.2119  0.33
Indjic 2001   10  0.9046  0.0014  0.1311  0.5026  0.1721  0.29
Jonas 1947   5  0.9232  0.006  0.218  0.5218  0.3417  0.42
Kapell 1951   16  0.9023  0.0020  0.1112  0.5028  0.1123  0.23
Kiepura 1999   26  0.8513  0.0124  0.1724  0.342  0.686  0.48
Kushner 1989   25  0.8647  0.0027  0.1626  0.1630  0.1126  0.13
Luisada 1991   29  0.8524  0.0030  0.0837  0.0828  0.1031  0.09
Lushtak 2004   35  0.8048  0.0042  0.0644  0.0641  0.0644  0.06
Magaloff 1978   42  0.7416  0.0038  0.0642  0.0636  0.0743  0.06
Meguri 1997   2  0.924  0.102  0.275  0.5814  0.475  0.52
Milkina 1970   43  0.7349  0.0045  0.0834  0.0839  0.0740  0.07
Mohovich 1999   31  0.8333  0.0033  0.0931  0.0945  0.0539  0.07
Niedzielski 1931   6  0.911  0.301  0.304  0.629  0.603  0.61
Ohlsson 1999   39  0.7850  0.0039  0.0549  0.0542  0.0650  0.05
Olejniczak 1990   1  0.9211  0.015  0.231  0.732  0.621  0.67
Osinska 1989   37  0.7851  0.0041  0.0643  0.0629  0.1033  0.08
Rangell 2001   47  0.6034  0.0047  0.0546  0.0543  0.0649  0.05
Richter 1976   36  0.7943  0.0036  0.0836  0.0843  0.0641  0.07
Rubinstein 1938   46  0.6728  0.0046  0.1029  0.1038  0.0735  0.08
Rubinstein 1952   44  0.717  0.0228  0.0838  0.0826  0.1430  0.11
Rubinstein 1961   48  0.5729  0.0048  0.0739  0.0743  0.0648  0.06
Rubinstein 1966   49  0.5637  0.0049  0.0740  0.0743  0.0742  0.07
Shebanova 2002   21  0.888  0.0210  0.1316  0.4818  0.3615  0.42
Smidowicz 1948   15  0.9021  0.0012  0.1717  0.4819  0.4012  0.44
Smidowicz 1948b   13  0.9017  0.0011  0.1514  0.4919  0.4310  0.46
Smith 1975   45  0.6735  0.0037  0.0548  0.0519  0.3225  0.13
Sofronitsky 1949   22  0.873  0.139  0.1920  0.4623  0.2618  0.35
Sztompka 1959   33  0.8252  0.0032  0.1028  0.1038  0.0634  0.08
Tomsic 1995   3  0.9239  0.003  0.226  0.5618  0.398  0.47
Uninsky 1971   28  0.8525  0.0031  0.0933  0.0933  0.0836  0.08
Wasowski 1980   27  0.8536  0.0026  0.1327  0.1329  0.0928  0.11
Random 1   50  0.0338  0.0050  0.0350  0.035  0.3829  0.11
Random 2   52  -0.0644  0.0052  0.0252  0.0237  0.0452  0.03
Random 3   51  0.0127  0.0051  0.0351  0.0337  0.0651  0.04

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).