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  0.2435  0.0053  0.0452  0.0442  0.0560  0.04
Ashkenazy 1981   38  0.3354  0.0035  0.0735  0.0749  0.0641  0.06
Beliavsky 2004   63  0.1766  0.0059  0.0364  0.0348  0.0751  0.05
BenOr 1989   52  0.2744  0.0058  0.0359  0.0360  0.0562  0.04
Biret 1990   27  0.3550  0.0032  0.0928  0.1735  0.0729  0.11
Blet 2003   24  0.379  0.018  0.1511  0.3430  0.1815  0.25
Block 1995   45  0.3120  0.0133  0.0833  0.0851  0.0540  0.06
Brailowsky 1960   7  0.4615  0.0111  0.178  0.4933  0.1313  0.25
Chiu 1999   42  0.3242  0.0047  0.0544  0.0550  0.0547  0.05
Clidat 1994   13  0.4121  0.017  0.1310  0.4424  0.285  0.35
Cohen 1997   60  0.2255  0.0057  0.0455  0.0431  0.1535  0.08
Coop 1987   17  0.3943  0.0030  0.0923  0.2349  0.0527  0.11
Cortot 1951   48  0.3013  0.0121  0.0929  0.1619  0.4512  0.27
Czerny 1949   12  0.4325  0.0017  0.1318  0.2830  0.2117  0.24
Czerny 1949b   25  0.3631  0.0038  0.0451  0.0445  0.0649  0.05
Ezaki 2006   57  0.2462  0.0061  0.0454  0.0455  0.0644  0.05
Falvay 1989   51  0.2827  0.0054  0.0549  0.0546  0.0548  0.05
Ferenczy 1958   59  0.2364  0.0043  0.0638  0.0652  0.0638  0.06
Fiorentino 1962   22  0.3732  0.0039  0.0546  0.0542  0.0842  0.06
Fliere 1977   41  0.3328  0.0045  0.0450  0.0443  0.0556  0.04
Fou 1978   43  0.3249  0.0050  0.0547  0.0550  0.0650  0.05
Francois 1956   15  0.4048  0.0024  0.0630  0.1418  0.3818  0.23
Hatto 1997   33  0.3445  0.0023  0.0920  0.2640  0.0724  0.13
Horowitz 1971   5  0.4724  0.004  0.163  0.5413  0.502  0.52
Horowitz 1985   46  0.3160  0.0015  0.1227  0.1931  0.1621  0.17
Indjic 2001   36  0.3446  0.0022  0.0719  0.2730  0.2416  0.25
Kapell 1951   54  0.2640  0.0056  0.0363  0.0358  0.0463  0.03
Kiepura 1999   11  0.4319  0.0113  0.0915  0.3023  0.259  0.27
Kilenyi 1937   18  0.3833  0.0027  0.0631  0.1344  0.0732  0.10
Kissin 1993   29  0.344  0.0620  0.0732  0.1331  0.1622  0.14
Kitain 1937   55  0.2629  0.0052  0.0360  0.0336  0.0854  0.05
Kushner 1990   53  0.2741  0.0051  0.0361  0.0348  0.0558  0.04
Levy 1951   31  0.3423  0.0041  0.0637  0.0641  0.0637  0.06
Luisada 1990   2  0.503  0.083  0.196  0.5110  0.581  0.54
Lushtak 2004   49  0.2958  0.0049  0.0543  0.0560  0.0461  0.04
Lympany 1968   44  0.3261  0.0046  0.0545  0.0554  0.0545  0.05
Magaloff 1977   21  0.3747  0.0025  0.0621  0.2616  0.387  0.31
Magaloff 1977b   35  0.3426  0.0036  0.0641  0.0626  0.2028  0.11
Magin 1975   4  0.486  0.0510  0.124  0.5339  0.0919  0.22
Milkina 1970   47  0.3052  0.0029  0.0726  0.2055  0.0531  0.10
Mohovich 1999   61  0.1959  0.0062  0.0358  0.0360  0.0465  0.03
Nadelmann 1956   6  0.477  0.025  0.155  0.5330  0.1411  0.27
Ohlsson 1999   23  0.3712  0.0126  0.0716  0.2944  0.0526  0.12
Olejniczac 1990   20  0.3837  0.0037  0.0642  0.0643  0.0739  0.06
Olejniczak 1991   19  0.3822  0.0040  0.0734  0.0749  0.0736  0.07
Osinska 1989   30  0.3463  0.0048  0.0636  0.0660  0.0446  0.05
Paderewski 1912   10  0.438  0.029  0.122  0.556  0.463  0.50
Perahia 1994   34  0.3456  0.0034  0.0639  0.0650  0.0552  0.05
Perlemuter 1986   8  0.4417  0.0116  0.0917  0.2941  0.0623  0.13
Poblocka 1999   9  0.4311  0.0114  0.1014  0.3026  0.2410  0.27
Rangell 2001   40  0.3357  0.0042  0.0640  0.0636  0.0743  0.06
Risler 1920   37  0.335  0.0518  0.1022  0.2421  0.2714  0.25
Rosen 1989   62  0.1865  0.0063  0.0453  0.0453  0.0653  0.05
Rubinstein 1939   14  0.4114  0.016  0.139  0.4724  0.236  0.33
Rubinstein 1952   26  0.3618  0.0112  0.1213  0.3352  0.0430  0.11
Rubinstein 1966   39  0.3330  0.0028  0.0624  0.2260  0.0434  0.09
Rummel 1943   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   58  0.2353  0.0060  0.0456  0.0463  0.0459  0.04
Smith 1975   3  0.502  0.102  0.177  0.508  0.354  0.42
Szpilman 1948   50  0.2839  0.0055  0.0457  0.0451  0.0557  0.04
Uninsky 1971   16  0.3910  0.0119  0.1112  0.3428  0.258  0.29
Wasowski 1980   28  0.3536  0.0044  0.0548  0.0552  0.0455  0.04
Weissenberg 1971   32  0.3416  0.0131  0.0825  0.2041  0.0725  0.12
Average   1  0.571  0.461  0.451  0.8048  0.0620  0.22
Random 1    66  -0.0734  0.0066  0.0166  0.0141  0.0466  0.02
Random 2   65  -0.0451  0.0065  0.0265  0.0251  0.0464  0.03
Random 3   64  0.0438  0.0064  0.0362  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).