Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2549  0.0054  0.0362  0.0359  0.0463  0.03
Ashkenazy 1981   50  0.3350  0.0059  0.0457  0.0455  0.0559  0.04
Beliavsky 2004   63  0.2235  0.0060  0.0359  0.0343  0.0753  0.05
BenOr 1989   19  0.4926  0.0021  0.1517  0.5322  0.5418  0.53
Biret 1990   33  0.4146  0.0028  0.0926  0.3413  0.3729  0.35
Blet 2003   8  0.5410  0.0111  0.156  0.674  0.733  0.70
Block 1995   27  0.4436  0.0024  0.0924  0.398  0.5422  0.46
Brailowsky 1960   3  0.593  0.083  0.245  0.685  0.722  0.70
Chiu 1999   40  0.3830  0.0043  0.1433  0.1427  0.2136  0.17
Clidat 1994   35  0.4162  0.0042  0.1037  0.1036  0.0743  0.08
Cohen 1997   62  0.2213  0.0063  0.0456  0.0444  0.0656  0.05
Coop 1987   38  0.4016  0.0039  0.1136  0.1154  0.0545  0.07
Cortot 1951   57  0.2943  0.0062  0.0552  0.0537  0.0850  0.06
Czerny 1949   11  0.536  0.026  0.2010  0.644  0.737  0.68
Czerny 1949b   13  0.5111  0.0013  0.1411  0.625  0.756  0.68
Ezaki 2006   14  0.5145  0.0016  0.1512  0.617  0.6611  0.63
Falvay 1989   16  0.5022  0.0012  0.1815  0.604  0.6612  0.63
Ferenczy 1958   41  0.3760  0.0025  0.1025  0.3622  0.4525  0.40
Fiorentino 1962   6  0.574  0.044  0.287  0.665  0.725  0.69
Fliere 1977   30  0.4354  0.0036  0.0938  0.0919  0.4235  0.19
Fou 1978   12  0.5327  0.0014  0.1913  0.6110  0.6513  0.63
Francois 1956   42  0.3765  0.0046  0.0549  0.0532  0.1742  0.09
Hatto 1997   53  0.3139  0.0052  0.0550  0.0546  0.0654  0.05
Horowitz 1971   29  0.4353  0.0032  0.0832  0.1628  0.2534  0.20
Horowitz 1985   36  0.4124  0.0018  0.1322  0.428  0.5321  0.47
Indjic 2001   55  0.2947  0.0053  0.0458  0.0453  0.0458  0.04
Kapell 1951   23  0.4717  0.0023  0.1223  0.406  0.6020  0.49
Kiepura 1999   9  0.5420  0.0010  0.1514  0.616  0.6415  0.62
Kilenyi 1937   15  0.5132  0.0019  0.1816  0.579  0.6816  0.62
Kissin 1993   39  0.3823  0.0047  0.0553  0.0540  0.0947  0.07
Kitain 1937   58  0.2861  0.0055  0.0554  0.0538  0.0849  0.06
Kushner 1990   22  0.488  0.0126  0.1027  0.3421  0.3927  0.36
Levy 1951   45  0.3537  0.0035  0.0841  0.0821  0.3138  0.16
Luisada 1990   2  0.632  0.092  0.232  0.702  0.811  0.75
Lushtak 2004   32  0.4231  0.0029  0.0931  0.2720  0.3030  0.28
Lympany 1968   59  0.2855  0.0058  0.0361  0.0357  0.0461  0.03
Magaloff 1977   44  0.3634  0.0044  0.0546  0.0523  0.3039  0.12
Magaloff 1977b   52  0.3212  0.0045  0.0645  0.0625  0.2140  0.11
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   51  0.3340  0.0048  0.0548  0.0551  0.0552  0.05
Mohovich 1999   49  0.3421  0.0050  0.0551  0.0536  0.0655  0.05
Nadelmann 1956   10  0.547  0.0115  0.194  0.696  0.5714  0.63
Ohlsson 1999   20  0.4818  0.0027  0.1428  0.3110  0.4626  0.38
Olejniczac 1990   5  0.5733  0.005  0.248  0.668  0.734  0.69
Olejniczak 1991   7  0.5529  0.008  0.159  0.647  0.718  0.67
Osinska 1989   4  0.5819  0.009  0.143  0.7011  0.629  0.66
Paderewski 1912   60  0.2744  0.0057  0.0363  0.0349  0.0464  0.03
Perahia 1994   54  0.3064  0.0056  0.0360  0.0363  0.0365  0.03
Perlemuter 1986   31  0.4258  0.0038  0.0742  0.0737  0.0746  0.07
Poblocka 1999   24  0.4741  0.0020  0.1321  0.4318  0.4223  0.42
Rangell 2001   56  0.299  0.0161  0.0455  0.0441  0.0560  0.04
Risler 1920   34  0.4114  0.0030  0.1230  0.295  0.5724  0.41
Rosen 1989   25  0.4628  0.0017  0.1218  0.529  0.6417  0.58
Rubinstein 1939   46  0.3451  0.0051  0.0644  0.0660  0.0357  0.04
Rubinstein 1952   17  0.505  0.047  0.1619  0.5116  0.5319  0.52
Rubinstein 1966   18  0.4938  0.0022  0.1420  0.5030  0.2628  0.36
Rummel 1943   21  0.4815  0.0033  0.0939  0.094  0.5332  0.22
Shebanova 2002   28  0.4466  0.0031  0.1429  0.3033  0.1333  0.20
Smith 1975   48  0.3442  0.0049  0.0547  0.0554  0.0551  0.05
Szpilman 1948   37  0.4156  0.0037  0.1234  0.1220  0.4631  0.23
Uninsky 1971   43  0.3652  0.0040  0.0643  0.0640  0.0648  0.06
Wasowski 1980   26  0.4648  0.0034  0.1135  0.1125  0.2437  0.16
Weissenberg 1971   47  0.3425  0.0041  0.0840  0.0842  0.0744  0.07
Average   1  0.691  0.631  0.621  0.9012  0.4610  0.64
Random 1    65  0.0063  0.0065  0.0265  0.0240  0.0462  0.03
Random 2   64  0.0357  0.0064  0.0364  0.0318  0.3041  0.09
Random 3   66  -0.0459  0.0066  0.0166  0.0160  0.0366  0.02

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).