Rummel 1943

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.5751  0.0054  0.0455  0.0453  0.0460  0.04
Ashkenazy 1981   25  0.6455  0.0031  0.0731  0.1449  0.0538  0.08
Beliavsky 2004   32  0.6343  0.0035  0.0735  0.0730  0.2124  0.12
BenOr 1989   2  0.754  0.052  0.352  0.6330  0.245  0.39
Biret 1990   39  0.6148  0.0039  0.0543  0.0559  0.0463  0.04
Blet 2003   41  0.619  0.0215  0.1316  0.3418  0.2811  0.31
Block 1995   14  0.6712  0.015  0.1214  0.3926  0.289  0.33
Brailowsky 1960   10  0.683  0.083  0.203  0.624  0.631  0.62
Chiu 1999   45  0.6046  0.0041  0.0641  0.0656  0.0548  0.05
Clidat 1994   38  0.6136  0.0037  0.0737  0.0731  0.1235  0.09
Cohen 1997   62  0.5153  0.0061  0.0460  0.0463  0.0365  0.03
Coop 1987   50  0.5862  0.0055  0.0362  0.0346  0.0656  0.04
Cortot 1951   44  0.6035  0.0038  0.0639  0.0650  0.0553  0.05
Czerny 1949   48  0.5958  0.0053  0.0461  0.0458  0.0559  0.04
Czerny 1949b   24  0.6432  0.0043  0.0549  0.0542  0.0842  0.06
Ezaki 2006   53  0.5856  0.0062  0.0642  0.0655  0.0546  0.05
Falvay 1989   47  0.5957  0.0051  0.0551  0.0557  0.0455  0.04
Ferenczy 1958   21  0.6534  0.0034  0.0834  0.0821  0.2822  0.15
Fiorentino 1962   31  0.6321  0.0029  0.0823  0.2551  0.0528  0.11
Fliere 1977   19  0.6613  0.0128  0.0924  0.2246  0.0531  0.10
Fou 1978   15  0.666  0.0210  0.1210  0.4644  0.0718  0.18
Francois 1956   60  0.5328  0.0059  0.0363  0.0323  0.3432  0.10
Hatto 1997   46  0.6027  0.0046  0.0546  0.0545  0.0651  0.05
Horowitz 1971   8  0.682  0.104  0.1313  0.4311  0.414  0.42
Horowitz 1985   52  0.5824  0.0048  0.0553  0.0523  0.2527  0.11
Indjic 2001   29  0.6316  0.0133  0.0736  0.0748  0.0545  0.06
Kapell 1951   22  0.6518  0.0119  0.0617  0.3450  0.0523  0.13
Kiepura 1999   20  0.6531  0.0044  0.0544  0.0543  0.0547  0.05
Kilenyi 1937   4  0.717  0.028  0.157  0.5341  0.0815  0.21
Kissin 1993   17  0.6626  0.0022  0.0819  0.3150  0.0525  0.12
Kitain 1937   61  0.5211  0.0118  0.0726  0.194  0.657  0.35
Kushner 1990   59  0.5338  0.0050  0.0552  0.0546  0.0550  0.05
Levy 1951   34  0.6223  0.0030  0.0830  0.1550  0.0534  0.09
Luisada 1990   43  0.6139  0.0052  0.0459  0.0443  0.0652  0.05
Lushtak 2004   58  0.5442  0.0060  0.0456  0.0462  0.0461  0.04
Lympany 1968   18  0.6614  0.0113  0.168  0.517  0.573  0.54
Magaloff 1977   5  0.6944  0.0011  0.109  0.4637  0.0817  0.19
Magaloff 1977b   7  0.6930  0.0012  0.1411  0.4540  0.0720  0.18
Magin 1975   28  0.6420  0.0045  0.0640  0.0660  0.0449  0.05
Milkina 1970   23  0.6419  0.0132  0.0632  0.1237  0.0637  0.08
Mohovich 1999   3  0.7222  0.007  0.136  0.5330  0.1910  0.32
Nadelmann 1956   36  0.6250  0.0014  0.1115  0.3534  0.0919  0.18
Ohlsson 1999   51  0.5849  0.0058  0.0457  0.0460  0.0457  0.04
Olejniczac 1990   26  0.6425  0.0023  0.0912  0.4542  0.0621  0.16
Olejniczak 1991   37  0.6237  0.0042  0.0545  0.0545  0.0741  0.06
Osinska 1989   40  0.6166  0.0047  0.0638  0.0647  0.0640  0.06
Paderewski 1912   12  0.678  0.026  0.134  0.5814  0.522  0.55
Perahia 1994   49  0.5817  0.0149  0.0550  0.0530  0.1139  0.07
Perlemuter 1986   54  0.585  0.0317  0.0629  0.1722  0.3513  0.24
Poblocka 1999   16  0.6652  0.0025  0.0627  0.1858  0.0533  0.09
Rangell 2001   27  0.6454  0.0021  0.0721  0.2957  0.0526  0.12
Risler 1920   63  0.4440  0.0063  0.0547  0.0563  0.0354  0.04
Rosen 1989   57  0.5641  0.0056  0.0458  0.0455  0.0562  0.04
Rubinstein 1939   33  0.6210  0.0216  0.0820  0.3015  0.368  0.33
Rubinstein 1952   6  0.6960  0.0026  0.0625  0.2138  0.0629  0.11
Rubinstein 1966   13  0.6715  0.0124  0.0722  0.2627  0.2014  0.23
Rummel 1943   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   55  0.5845  0.0057  0.0548  0.0558  0.0458  0.04
Smith 1975   42  0.6161  0.0040  0.0454  0.0462  0.0364  0.03
Szpilman 1948   30  0.6329  0.0020  0.0718  0.3229  0.2112  0.26
Uninsky 1971   11  0.6833  0.009  0.125  0.5528  0.226  0.35
Wasowski 1980   9  0.6864  0.0027  0.0828  0.1749  0.0630  0.10
Weissenberg 1971   35  0.6259  0.0036  0.0833  0.0860  0.0443  0.06
Average   1  0.761  0.511  0.501  0.8249  0.0516  0.20
Random 1    66  -0.0565  0.0066  0.0166  0.0151  0.0466  0.02
Random 2   64  0.0147  0.0064  0.0364  0.0328  0.1144  0.06
Random 3   65  0.0063  0.0065  0.0265  0.0214  0.4236  0.09

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).