I’ve checked all the judges at the last Olympic Games (introduction, I’m sorry but it’s  in Italian, introduction part two, also in Italian, judges from AUS, BEL, CAN, CHN, ESP, judges from ESP, FRA, GER, HUN, ISR, ITA, JPN, KAZ, judges from KOR, LAT, POL, RUS, SVK, TUR, and, in English, judges from UKR, USA, UZB. The Way in which I calculate the bias is explained here. I would like to have more time to check everyone better, but (for now?) this can be enough.

There were 62 judges. I wanted to see who was the most biased, but It’s impossible to really compare the votes of all the judges with each other. Some judge judged only the SP (or judged his compatriote only in the SP), some judged only the FS, some judged the whole competition. So, to be able to do the comparison, I was forced to invent some numbers.

When a judge was only in the SP panel, I’ve written his bias and, for the FS, I’ve calculated a double bias. When a judge was only in the FS panel, I’ve written his bias and, for the SP, I’ve calculated half of his bias. With all the boxes for SP and FS full, I’ve calculated the total bias, real for someone, hypotethycal for someone other. I’ve highlighted in light yellow and italics every time that a score is hypothetical. Then I did the ranking. Not surprisingly, the most biased was Weiguang Chen for the Men’s competition. He, as Huang Feng, the two judges suspended after the Olympic Games for national bias, are highlighted in yellow.
Now my question is, why Feng was suspended, but the 19 judges (some of them has judged several competitions) included between Chen and Feng no?

Their names are

• Tianyi Zhang (CHN)
• Anastassia Makarova (UKR)
• Jeff Lukasik (CAN, two competitions)
• Anthony Leroy (FRA, two competitions)
• Lorrie Parker (USA, two competitions)
• Elke Treitz (GER, three competitions)
• Hailan Jiang (CHN, two competitions)
• Tanay Ozkan Silaoglu (TUR)
• Albert Zaydman (ISR, two competitions)
• Sharon Rogers (USA, two competitions)
• Anna Kantor (ISR)
• Saodat Numanova (UZB)
• Daniel Delfa (ESP)
• Leanna Caron (CAN)
• Ayumi Kozuka (JPN)
• Kaoru Takino (JPN)
• Katalin Balczo (HUN)
• Nicole Leblanc-Richard (CAN)
• Philippe Meriguet (FRA).

Some judge has a bias lower than the 8.83 of Feng, but equally deserves attention, as I’ve explained in the previous posts. These are the other judges:

In the columns IE, IF and IG I’ve written the final rank of the skaters compatriots of the judge, highlighting the medals. If the box has a bold border, the medal was won in an individual competition, otherwise it is a medal won in the Team Event.

There is another important detail in the screenshots: some names are in bold. This article was published by BuzzFeed News on February 8, 2018. The competitions started on February, 9, with the Men’s SP of the Team Event.

Before the competitions started, two journalist have checked the judges of 10 nations (Canada, China, Israel, Italy, Kazakhstan, Russia, Spain, Turkey, United States and Uzbekistan). According to them, 16 judges are biased. They has written it before the Olympics. Among their names, Walter Toigo, Yuriy Guskov, Maira Abasova, Elena Fomina, Olga Kozhemyakina, Marta Olozagarre, 6 among 16, wouldn’t have a bias too high at Pyeongchang (but, watching the scores closely, sometimes there’s something strange).

In 2018, with only a season and half to check the bias, John Templon and Rosalind Adams were quite accurate. Now we have four years for the statistics, we can be much more accurate. Really we want the biased judges at the next Olympic Games? I’ll publish all the data, for now these are the average bias for all the judges in the last four season at Challenges Series, Grand Prix Series (senior and junior), European Championship, Four Continents Championship, World Championship (senior and junior), World Team Trophy and Olympic Games. For every judge the first line is the total points of bias in the SP or in the FS, the second line is the number of competition judged by him, the third line is the average for SP and FS, and the sum. In the columns IR-IV the names are in alphabetical order, in the columns IX-JB the order is for bias, from the highest to the lowest.