Chris in London
Well-Known Member
- Joined
- 21 Sep 2009
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Cheers. Interesting, but I think we're looking at things differently.
For Pawson, I don't see how he can be blamed for 0-0 away draws (Villa, Leicester in 2015) and drawing at WHU, plus the obligatory defeat at Liverpool. He's not gone mad with cards either.
I also think that his pool of matches is too small to be a statistical pool.
I don't think Pawson is terrible or biassed.
Mason is terrible but not especially biased.
Some of the others look more dodgy, but I don't have time now to think about them further.
Sorry, but that’s just wrong.
Of course, there is every reason in the world to be cautious about drawing conclusions from a small data base, but it is just incorrect to say any conclusion drawn from a datapool smaller than X is meaningless. If my (heavily insured) wife falls off a hotel balcony, on our honeymoon, that’s very sad. If my second wife perishes in the same way, that’s significant.
Besides, the datapool is not limited to Pawson’s games alone. The datapool consists of every referee in charge of a City game. You would expect a certain margin of appreciation within the sample about various issues (eg cards given) because different referees view incidents in different ways, but Pawson’s track record is distinctly anomalous when it comes to refereeing City games, as is Taylor’s. Statistics alone cannot prove anything. Statistics can not prove that smoking causes cancer but the statistical link between smoking and cancer is plain for all to see. What statistics can do is point out trends and anomalies that merit further investigation.
That is precisely the territory we are in with Taylor and Pawson.
Mason by the way is an odd one. I did a similar analysis in our first title winning game of Mason’s performances in City games, just before we played Wolves away. The results were distinctly worrying, though in the end I needn’t have worried as he was pulled from the game at the last minute. Since then, his performances in City games seem to have been a lot better.