Rummel 1943

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.2434  0.0052  0.0451  0.0441  0.0559  0.04
Ashkenazy 1981   37  0.3353  0.0034  0.0734  0.0748  0.0640  0.06
Beliavsky 2004   62  0.1765  0.0058  0.0363  0.0348  0.0750  0.05
BenOr 1989   51  0.2744  0.0057  0.0358  0.0359  0.0562  0.04
Biret 1990   26  0.3549  0.0031  0.0927  0.1835  0.0730  0.11
Blet 2003   23  0.375  0.077  0.1612  0.3529  0.1917  0.26
Block 1995   44  0.3122  0.0132  0.0829  0.1550  0.0534  0.09
Brailowsky 1960   6  0.4611  0.0210  0.177  0.5032  0.1710  0.29
Chiu 1999   41  0.3243  0.0046  0.0543  0.0549  0.0546  0.05
Clidat 1994   12  0.419  0.046  0.139  0.4623  0.305  0.37
Cohen 1997   59  0.2255  0.0056  0.0454  0.0429  0.1735  0.08
Coop 1987   16  0.3941  0.0029  0.0922  0.2548  0.0528  0.11
Cortot 1951   47  0.3016  0.0120  0.0928  0.1619  0.4615  0.27
Czerny 1949   11  0.4325  0.0016  0.1320  0.2829  0.2218  0.25
Czerny 1949b   24  0.3631  0.0037  0.0450  0.0444  0.0648  0.05
Ezaki 2006   56  0.2461  0.0060  0.0453  0.0454  0.0643  0.05
Falvay 1989   50  0.2826  0.0053  0.0548  0.0545  0.0547  0.05
Ferenczy 1958   58  0.2363  0.0042  0.0637  0.0651  0.0638  0.06
Fiorentino 1962   21  0.3732  0.0038  0.0545  0.0541  0.0841  0.06
Fliere 1977   40  0.3328  0.0044  0.0449  0.0442  0.0555  0.04
Fou 1978   42  0.3248  0.0049  0.0546  0.0549  0.0649  0.05
Francois 1956   14  0.4045  0.0023  0.0630  0.1417  0.4219  0.24
Hatto 1997   32  0.3446  0.0022  0.1019  0.2839  0.0722  0.14
Horowitz 1971   4  0.4712  0.023  0.172  0.5612  0.513  0.53
Horowitz 1985   45  0.3159  0.0014  0.1226  0.1931  0.1720  0.18
Indjic 2001   35  0.3442  0.0021  0.0718  0.2930  0.2514  0.27
Kapell 1951   53  0.2639  0.0055  0.0362  0.0357  0.0464  0.03
Kiepura 1999   10  0.4321  0.0112  0.0916  0.3022  0.2513  0.27
Kilenyi 1937   17  0.3829  0.0026  0.0631  0.1344  0.0732  0.10
Kissin 1993   28  0.346  0.0719  0.0732  0.1330  0.1721  0.15
Kitain 1937   54  0.2630  0.0051  0.0359  0.0336  0.0853  0.05
Kushner 1990   52  0.2740  0.0050  0.0360  0.0347  0.0557  0.04
Levy 1951   30  0.3424  0.0040  0.0636  0.0640  0.0737  0.06
Luisada 1990   1  0.503  0.112  0.206  0.519  0.591  0.55
Lushtak 2004   48  0.2957  0.0048  0.0542  0.0559  0.0460  0.04
Lympany 1968   43  0.3260  0.0045  0.0544  0.0553  0.0544  0.05
Magaloff 1977   20  0.3747  0.0024  0.0617  0.2917  0.387  0.33
Magaloff 1977b   34  0.3427  0.0035  0.0640  0.0625  0.2129  0.11
Magin 1975   3  0.488  0.059  0.123  0.5632  0.188  0.32
Milkina 1970   46  0.3051  0.0028  0.0724  0.2354  0.0527  0.11
Mohovich 1999   60  0.1958  0.0061  0.0457  0.0459  0.0461  0.04
Nadelmann 1956   5  0.472  0.134  0.154  0.5429  0.1512  0.28
Ohlsson 1999   22  0.3715  0.0125  0.0714  0.3243  0.0523  0.13
Olejniczac 1990   19  0.3836  0.0036  0.0641  0.0642  0.0739  0.06
Olejniczak 1991   18  0.3823  0.0039  0.0733  0.0749  0.0736  0.07
Osinska 1989   29  0.3462  0.0047  0.0635  0.0659  0.0445  0.05
Paderewski 1912   9  0.4310  0.038  0.121  0.595  0.472  0.53
Perahia 1994   33  0.3454  0.0033  0.0638  0.0649  0.0551  0.05
Perlemuter 1986   7  0.4420  0.0115  0.1015  0.3040  0.0624  0.13
Poblocka 1999   8  0.4314  0.0113  0.1013  0.3326  0.2411  0.28
Rangell 2001   39  0.3356  0.0041  0.0639  0.0636  0.0742  0.06
Risler 1920   36  0.337  0.0717  0.1023  0.2417  0.2916  0.26
Rosen 1989   61  0.1864  0.0062  0.0452  0.0452  0.0652  0.05
Rubinstein 1939   13  0.414  0.095  0.138  0.4826  0.266  0.35
Rubinstein 1952   25  0.3618  0.0111  0.1210  0.3551  0.0426  0.12
Rubinstein 1966   38  0.3319  0.0127  0.0621  0.2659  0.0431  0.10
Rummel 1943   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   57  0.2352  0.0059  0.0455  0.0462  0.0458  0.04
Smith 1975   2  0.501  0.171  0.175  0.537  0.354  0.43
Szpilman 1948   49  0.2838  0.0054  0.0456  0.0450  0.0556  0.04
Uninsky 1971   15  0.3913  0.0218  0.1211  0.3525  0.269  0.30
Wasowski 1980   27  0.3535  0.0043  0.0547  0.0551  0.0454  0.04
Weissenberg 1971   31  0.3417  0.0130  0.0825  0.2241  0.0725  0.12
Random 1    65  -0.0733  0.0065  0.0265  0.0245  0.0463  0.03
Random 2   64  -0.0450  0.0064  0.0264  0.0250  0.0465  0.03
Random 3   63  0.0437  0.0063  0.0361  0.038  0.3633  0.10

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).