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| Quote trys'r'us="trys'r'us"
Here's where there's a difference.
I don't distrust it based on not trusting the gatherers. I can't entirely trust it either, but I'm sure whoever is responsible is reliable at collecting what they are attempting to collect. My issue is with what they are attempting to collect, because, unlike sales data, they aren't collecting something that has an absolute, unequivocal definition. As I mentioned earlier with the Fitzgibbon/Tickle/tackling hypothetical, consistency of collation isn't always enough when there are as many variables present as there are in a game of RL. It's not that the data is inaccurate, it's that it has to inflexible to attempt to remain consistent and that just doesn't work, as far as I'm concerned, when there are so many variable, unmeasurable, inconsistent factors involved every minute.
Again, a quick example, assuming the statistics collected are entirely consistent yet remain fair to all. Say tomorrow Berrigan was attempting to scoot against a Leeds pack consisting of Leuluai, Diskin, Peacock, JJB, Ablett and Sinfield. And he's working of plays from Dowes and O'Meley. 20 minutes later, Houghton comes on and is working against a Leeds pack of Bailey, Buderus, Burgess, JJB, Lauiti'iti, Sinfield off plays from Cusack and Moa. Houghton probably gets a quick play against a poorer defence. Or maybe the starting Leeds front row was having a torrid time of it and the replacements are doing a much better job. Who knows? Those collecting the statistics certainly don't. And it's that type of factor (of which there are an innumerable amount every game) that isn't taken into account.
There are just too many uncontrollable variables that can't be factored in for me to be able to regard the statistics provided with anything more than disdain.'"
Fully get the level of doubt about the variables. The problem is in every single instance practically there are always going to be variables that are uncontollable and often unknown. (or overly complex to feed into any kind of statistical analysis easily)
We tend to go with working assumptions based on what we know. My working assumption about the superleague stats is that they are consistently collated for ease of use. As long as the data is collated consistently it gives a level of comparability even if the data is slightly incorrect. The debate i had on here a couple of years ago was that the figures may be 2 or 3 wrong, but as long as that variance exists in all data collated similarly then the comparability exists which is where the real value comes in this instance.
I did my Masters dissertation on the Return on Investment for a Human Resources function. Until you sit down and map out all of the possible inputs and outputs to something like you wouldnt believe the size of that kind of task. (especially with HR generally been non-statistical and often intangible)
What i needed to do to ensure that the task could actually be completed was to make some working assumptions that may mean the overall result are slightly inaccurate but as long as they have a statistical significance thats relatively high sometimes thats good enough.
(i know i said i wasnt going to mention education, it just slipped out) 
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| I go out drinking with Big Dave T.............by choice.
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| Quote R.B.A="R.B.A"I go out drinking with Big Dave T.............by choice.'"
I dont ever talk like this with you mate as i know it would go over your head. I dumb the conversation down for you.  (only joking before you sulk)
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| Quote Big Dave T="Big Dave T"Fully get the level of doubt about the variables. The problem is in every single instance practically there are always going to be variables that are uncontollable and often unknown. (or overly complex to feed into any kind of statistical analysis easily)
I did my Masters dissertation on the Return on Investment for a Human Resources function. Until you sit down and map out all of the possible inputs and outputs to something like you wouldnt believe the size of that kind of task. (especially with HR generally been non-statistical and often intangible)
What i needed to do to ensure that the task could actually be completed was to make some working assumptions that may mean the overall result are slightly inaccurate but as long as they have a statistical significance thats relatively high sometimes thats good enough.
(i know i said i wasnt going to mention education, it just slipped out)
'"
Having been through similar experiences, I have no issue with any of this.
Quote Big Dave T="Big Dave T"We tend to go with working assumptions based on what we know. My working assumption about the superleague stats is that they are consistently collated for ease of use. As long as the data is collated consistently it gives a level of comparability even if the data is slightly incorrect. The debate i had on here a couple of years ago was that the figures may be 2 or 3 wrong, but as long as that variance exists in all data collated similarly then the comparability exists which is where the real value comes in this instance.'"
This (in bold) is what I disagree with. There is no way of ensuring that the variance exists in all data collected because of the difference in the quality/technicality in what each player does. Again, I'll refer back to the Fitzgibbon/Tickle/tackling example from earlier - the variance there isn't equal for both players, it is heavily distorted in favour of one of them. And it's that that I have a problem with.
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| Quote trys'r'us="trys'r'us"
This (in bold) is what I disagree with. There is no way of ensuring that the variance exists in all data collected because of the difference in the quality/technicality in what each player does. Again, I'll refer back to the Fitzgibbon/Tickle/tackling example from earlier - the variance there isn't equal for both players, it is heavily distorted in favour of one of them. And it's that that I have a problem with.'" i get that mate. The problem is that in the absence of more accurate data sometimes it's got to be good enough and the working assumption is that a tackle is simply a tackle for ease of reporting. Thats why i'm happy to use super league stats i guess. If for example a sales function reported their profit but excluded a product because they didn't have those figures, i work on the basis that as long as they report the figures on that basis to me next time too so that i see a true variance thats ok. I'd actually ask for a 2nd cut of data including the missing info and kick off that it was missing in the first place but that doesn't help my point 
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| Quote Big Dave T="Big Dave T"I'd actually ask for a 2nd cut of data including the missing info and kick off that it was missing in the first place but that doesn't help my point
'"
Which is essentially what I'm doing I guess. Although I'm probably going slightly further and saying that the missing data, whilst vital to the interpretation of the available data, isn't actually measurable itself.
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| Quote Kosh="Kosh"Which is a little more reasonable. Although now you're going to have to define what you mean by average. Average compared to other members of the squad, average compared to other players in SL, or something different entirely?'"
I supposed I mean Average compared to SL players, I notice Rangi Chase has being mentioned which is a good comparison. Chase is arguably a 6, although also plays 9, his standard is higher than Berro imo because he has the ability to cover both roles and still maintain a high consistent above average performance in comparison with other SL players
I have considered the variables team, coach etc..however Agar has not affected the performances for example of Fitz, Orgre or Manu..we have a big pack with some very effective forwards so I am unable to find any excuses really as to why we have not seen the performances Berro is more than capable of.
How often has he won MOM ? for a player of his calibre it should be a fair few times but I suspect it is not. When I watched him play in the NRL he was my hero, hence the tongue in cheek user name, but I am disappointed in his performances, though I would like nothing better than him to prove me wrong for the remainder of his contract.
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| Quote trys'r'us="trys'r'us"Which is essentially what I'm doing I guess. Although I'm probably going slightly further and saying that the missing data, whilst vital to the interpretation of the available data, isn't actually measurable itself.'"
and so because the missing data is either non-existent or not measurable does that always mean you'd discount and dis-trust the data set that does exist? I'd lean more to using the data that exists but with the caveat that it isn't always telling the full story. The context of the conversation is what would discuss that if needed. 
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Interesting that Buderus gets some stick from the Leeds fans for not performing to standard too.
superleague.co.uk/statistics_pla ... eason=2010
Starts aren't too dis-similar on face value. Could there be something behind this about the style of the aussie hookers coming over here? They are or have both been world class players with big reputations.
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Interesting that Buderus gets some stick from the Leeds fans for not performing to standard too.
superleague.co.uk/statistics_pla ... eason=2010
Starts aren't too dis-similar on face value. Could there be something behind this about the style of the aussie hookers coming over here? They are or have both been world class players with big reputations.
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Quote Big Dave T="Big Dave T"Interesting that Buderus gets some stick from the Leeds fans for not performing to standard too.
superleague.co.uk/statistics_pla ... eason=2010
Starts aren't too dis-similar on face value. Could there be something behind this about the style of the aussie hookers coming over here? They are or have both been world class players with big reputations.'"
Maybe SL does not suit their styles, those stats would suggest as much.
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Quote Big Dave T="Big Dave T"Interesting that Buderus gets some stick from the Leeds fans for not performing to standard too.
superleague.co.uk/statistics_pla ... eason=2010
Starts aren't too dis-similar on face value. Could there be something behind this about the style of the aussie hookers coming over here? They are or have both been world class players with big reputations.'"
Maybe SL does not suit their styles, those stats would suggest as much.
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| Quote berrigans bitch="berrigans bitch"Maybe SL does not suit their styles, those stats would suggest as much.'"
Started me thinking this morning as to whether a player like Cameron Smith would even be suited to SL.
Did Swain make an impact because he was a solid non-flair hooker. Huge defensive workload for 80 mins and accurate passing from the base of the ptb as well as the occasional quality scoot and a good kicking game.
Maybe Berro, Cam Smith and Buderus are too flairly and that doesnt suit our game or Leeds game maybe?
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