Rummel 1943

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.4911  0.0133  0.0449  0.0459  0.0460  0.04
Ashkenazy 1981   23  0.6054  0.0031  0.0631  0.1144  0.0729  0.09
Beliavsky 2004   55  0.5052  0.0059  0.0360  0.0363  0.0464  0.03
BenOr 1989   29  0.5839  0.0040  0.0734  0.0743  0.0734  0.07
Biret 1990   48  0.5343  0.0036  0.0448  0.0458  0.0463  0.04
Blet 2003   38  0.5712  0.015  0.1610  0.3636  0.0612  0.15
Block 1995   60  0.4930  0.0042  0.0636  0.0643  0.0637  0.06
Brailowsky 1960   15  0.6321  0.0122  0.0723  0.2218  0.442  0.31
Chiu 1999   59  0.4935  0.0047  0.0451  0.0457  0.0455  0.04
Clidat 1994   9  0.653  0.093  0.234  0.5056  0.058  0.16
Cohen 1997   63  0.3355  0.0063  0.0640  0.0642  0.0638  0.06
Coop 1987   34  0.5725  0.0015  0.0722  0.2461  0.0426  0.10
Cortot 1951   52  0.5136  0.0062  0.0638  0.0641  0.0739  0.06
Czerny 1949   2  0.702  0.114  0.193  0.6049  0.066  0.19
Czerny 1949b   4  0.6726  0.0012  0.125  0.4752  0.0510  0.15
Ezaki 2006   37  0.5747  0.0041  0.0546  0.0552  0.0640  0.05
Falvay 1989   49  0.5323  0.0035  0.0547  0.0561  0.0456  0.04
Ferenczy 1958   62  0.3961  0.0058  0.0359  0.0351  0.0558  0.04
Fiorentino 1962   26  0.5940  0.0046  0.0545  0.0558  0.0551  0.05
Fliere 1977   14  0.6324  0.0023  0.0917  0.2844  0.0713  0.14
Fou 1978   12  0.638  0.038  0.137  0.4448  0.077  0.18
Francois 1956   10  0.6534  0.0024  0.0924  0.1738  0.0627  0.10
Hatto 1997   54  0.5065  0.0050  0.0457  0.0459  0.0557  0.04
Horowitz 1971   19  0.6114  0.0110  0.099  0.4131  0.183  0.27
Horowitz 1985   47  0.5359  0.0061  0.0639  0.0641  0.0635  0.06
Indjic 2001   56  0.5066  0.0051  0.0542  0.0553  0.0649  0.05
Kapell 1951   42  0.5638  0.0028  0.0529  0.1357  0.0531  0.08
Kiepura 1999   35  0.5719  0.0160  0.0452  0.0457  0.0552  0.04
Kilenyi 1937   20  0.6132  0.0021  0.0719  0.2755  0.0521  0.12
Kissin 1993   32  0.586  0.0414  0.1415  0.3057  0.0519  0.12
Kitain 1937   61  0.4610  0.0155  0.0363  0.0320  0.4324  0.11
Kushner 1990   16  0.6242  0.009  0.1211  0.3645  0.0611  0.15
Levy 1951   41  0.5617  0.0120  0.0921  0.2531  0.174  0.21
Luisada 1990   6  0.669  0.0217  0.0914  0.3159  0.0522  0.12
Lushtak 2004   33  0.5857  0.0034  0.0544  0.0546  0.0647  0.05
Lympany 1968   36  0.5762  0.0038  0.0635  0.0654  0.0541  0.05
Magaloff 1977   40  0.5745  0.0048  0.0543  0.0559  0.0545  0.05
Magaloff 1977b   45  0.5637  0.0049  0.0454  0.0452  0.0650  0.05
Magin 1975   21  0.607  0.0326  0.0628  0.1348  0.0628  0.09
Milkina 1970   22  0.6049  0.0013  0.1116  0.2852  0.0518  0.12
Mohovich 1999   44  0.5648  0.0057  0.0361  0.0353  0.0562  0.04
Nadelmann 1956   3  0.694  0.062  0.232  0.6018  0.241  0.38
Ohlsson 1999   50  0.5215  0.0139  0.0733  0.0764  0.0444  0.05
Olejniczac 1990   24  0.6033  0.0043  0.0637  0.0660  0.0446  0.05
Olejniczak 1991   28  0.5851  0.0045  0.0453  0.0450  0.0642  0.05
Osinska 1989   8  0.6663  0.0011  0.1012  0.3557  0.0515  0.13
Paderewski 1912   13  0.6329  0.0019  0.0920  0.2651  0.0523  0.11
Perahia 1994   46  0.5546  0.0053  0.0458  0.0436  0.0748  0.05
Perlemuter 1986   5  0.6627  0.0016  0.0713  0.3451  0.0516  0.13
Poblocka 1999   18  0.6216  0.0130  0.0727  0.1457  0.0530  0.08
Rangell 2001   39  0.5764  0.0029  0.0630  0.1254  0.0533  0.08
Risler 1920   27  0.5918  0.0127  0.0525  0.1655  0.0625  0.10
Rosen 1989   53  0.5160  0.0054  0.0362  0.0354  0.0561  0.04
Rubinstein 1939   31  0.5841  0.0025  0.0626  0.1530  0.169  0.15
Rubinstein 1952   11  0.6420  0.017  0.146  0.4559  0.0417  0.13
Rubinstein 1966   43  0.5650  0.0032  0.0532  0.0962  0.0436  0.06
Rummel 1943   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   57  0.4953  0.0056  0.0456  0.0450  0.0559  0.04
Smith 1975   7  0.665  0.046  0.148  0.4244  0.0514  0.14
Szpilman 1948   30  0.5844  0.0044  0.0450  0.0457  0.0554  0.04
Uninsky 1971   17  0.6213  0.0118  0.0818  0.2746  0.0520  0.12
Wasowski 1980   25  0.5931  0.0052  0.0455  0.0455  0.0553  0.04
Weissenberg 1971   51  0.5122  0.0037  0.0541  0.0552  0.0543  0.05
Average   1  0.711  0.411  0.401  0.7661  0.055  0.19
Random 1    66  -0.0828  0.0066  0.0166  0.0166  0.0166  0.01
Random 2   64  -0.0456  0.0064  0.0264  0.0259  0.0265  0.02
Random 3   65  -0.0558  0.0065  0.0265  0.0214  0.3532  0.08

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).