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  0.5352  0.0048  0.0459  0.0461  0.0460  0.04
Ashkenazy 1981   22  0.6230  0.0028  0.0729  0.2352  0.0628  0.12
Beliavsky 2004   48  0.5651  0.0047  0.0546  0.0549  0.0549  0.05
BenOr 1989   1  0.678  0.048  0.1210  0.4743  0.0711  0.18
Biret 1990   44  0.5736  0.0041  0.0735  0.0760  0.0546  0.06
Blet 2003   38  0.5918  0.0113  0.0915  0.3442  0.0813  0.16
Block 1995   42  0.5813  0.0214  0.0823  0.2848  0.0620  0.13
Brailowsky 1960   5  0.655  0.074  0.153  0.589  0.571  0.57
Chiu 1999   55  0.5546  0.0044  0.0449  0.0456  0.0556  0.04
Clidat 1994   19  0.634  0.087  0.126  0.4928  0.108  0.22
Cohen 1997   62  0.4260  0.0062  0.0643  0.0637  0.0644  0.06
Coop 1987   41  0.5862  0.0036  0.0637  0.0662  0.0450  0.05
Cortot 1951   52  0.5641  0.0050  0.0455  0.0444  0.0654  0.05
Czerny 1949   12  0.6447  0.0031  0.1030  0.2250  0.0631  0.11
Czerny 1949b   4  0.6525  0.0030  0.0826  0.2655  0.0625  0.12
Ezaki 2006   43  0.5764  0.0058  0.0545  0.0561  0.0547  0.05
Falvay 1989   49  0.5658  0.0049  0.0458  0.0462  0.0457  0.04
Ferenczy 1958   59  0.5256  0.0051  0.0460  0.0456  0.0559  0.04
Fiorentino 1962   31  0.6132  0.0035  0.0641  0.0643  0.0745  0.06
Fliere 1977   11  0.6422  0.0119  0.0712  0.3962  0.0422  0.12
Fou 1978   10  0.652  0.113  0.149  0.4849  0.0612  0.17
Francois 1956   39  0.5931  0.0056  0.0547  0.0523  0.2929  0.12
Hatto 1997   54  0.5554  0.0045  0.0548  0.0558  0.0552  0.05
Horowitz 1971   8  0.653  0.102  0.164  0.5114  0.482  0.49
Horowitz 1985   51  0.5633  0.0054  0.0454  0.0424  0.2732  0.10
Indjic 2001   47  0.5742  0.0040  0.0640  0.0649  0.0643  0.06
Kapell 1951   34  0.6035  0.0021  0.0821  0.2954  0.0526  0.12
Kiepura 1999   30  0.6116  0.0155  0.0453  0.0460  0.0455  0.04
Kilenyi 1937   3  0.6612  0.0210  0.155  0.4945  0.0710  0.19
Kissin 1993   26  0.627  0.059  0.1111  0.4050  0.0614  0.15
Kitain 1937   61  0.4910  0.0343  0.0452  0.047  0.5416  0.15
Kushner 1990   40  0.5863  0.0046  0.0451  0.0458  0.0458  0.04
Levy 1951   37  0.5911  0.0212  0.1014  0.3627  0.157  0.23
Luisada 1990   18  0.6315  0.0138  0.0642  0.0653  0.0642  0.06
Lushtak 2004   50  0.5661  0.0057  0.0450  0.0463  0.0363  0.03
Lympany 1968   28  0.6234  0.0020  0.0813  0.3932  0.146  0.23
Magaloff 1977   20  0.6345  0.0024  0.1019  0.3146  0.0715  0.15
Magaloff 1977b   23  0.6243  0.0026  0.0728  0.2543  0.0721  0.13
Magin 1975   24  0.629  0.0339  0.0736  0.0755  0.0541  0.06
Milkina 1970   21  0.6228  0.0022  0.0617  0.3247  0.0618  0.14
Mohovich 1999   14  0.6417  0.0117  0.0725  0.2659  0.0436  0.10
Nadelmann 1956   6  0.651  0.221  0.211  0.6628  0.223  0.38
Ohlsson 1999   53  0.5529  0.0052  0.0362  0.0360  0.0362  0.03
Olejniczac 1990   27  0.6227  0.0032  0.1032  0.1958  0.0535  0.10
Olejniczak 1991   36  0.6044  0.0042  0.0734  0.0757  0.0540  0.06
Osinska 1989   17  0.6359  0.0029  0.0827  0.2660  0.0433  0.10
Paderewski 1912   7  0.656  0.065  0.162  0.5930  0.214  0.35
Perahia 1994   45  0.5738  0.0053  0.0361  0.0328  0.1838  0.07
Perlemuter 1986   25  0.6219  0.0137  0.0638  0.0657  0.0551  0.05
Poblocka 1999   13  0.6423  0.0123  0.0822  0.2857  0.0523  0.12
Rangell 2001   33  0.6057  0.0016  0.1018  0.3146  0.0717  0.15
Risler 1920   60  0.5239  0.0059  0.0456  0.0448  0.0648  0.05
Rosen 1989   57  0.5365  0.0061  0.0544  0.0557  0.0461  0.04
Rubinstein 1939   35  0.6020  0.0115  0.0820  0.3024  0.325  0.31
Rubinstein 1952   2  0.6624  0.0111  0.148  0.4856  0.0419  0.14
Rubinstein 1966   29  0.6121  0.0125  0.0924  0.2760  0.0434  0.10
Rummel 1943   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   56  0.5355  0.0060  0.0457  0.0447  0.0753  0.05
Smith 1975   16  0.6326  0.0018  0.0716  0.3461  0.0424  0.12
Szpilman 1948   32  0.6140  0.0033  0.1033  0.1046  0.0637  0.08
Uninsky 1971   9  0.6514  0.026  0.117  0.4833  0.089  0.20
Wasowski 1980   15  0.6437  0.0034  0.0639  0.0644  0.0639  0.06
Weissenberg 1971   46  0.5749  0.0027  0.0931  0.2152  0.0630  0.11
Random 1    65  -0.0753  0.0065  0.0265  0.0265  0.0264  0.02
Random 2   63  -0.0148  0.0063  0.0364  0.0360  0.0265  0.02
Random 3   64  -0.0250  0.0064  0.0363  0.0310  0.4627  0.12

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).