I am thinking about striking out ALL games where an opponent lost on
time in view of the timeout issue which was out of most peoples control.

It would be a one-time thing.  I would simply delete all the game
records.    This will make bayeselo more correct and accurate.   Even
the anchor player lost a bunch of games against really weak players.


I will also modify the server so that losses by anchors don't count.  

- Don



On Sun, 2008-08-10 at 12:00 -0400, Jason House wrote:
> I like the idea of using Bayesian ELO ratings instead. They should  
> adapt better and faster. It would give better rank confidence than the  
> current k factor. For example, kartofel would have kept a low  
> confidence.
> 
> Sent from my iPhone
> 
> On Aug 10, 2008, at 11:51 AM, "David Fotland" <[EMAIL PROTECTED] 
> games.com> wrote:
> 
> > First, thank you very much, Don, for giving us a reliable 19x19  
> > server.
> >
> > Please consider increasing the time a program stays on the list  
> > until it
> > ages off.  I guess you drop programs from the ratings page after  
> > some time
> > that depends on the number of games they have played.  Since 19x19  
> > games
> > take 4 times longs, it seems you should allow four times as much  
> > time to age
> > off the list, for the same number of games.  I like seeing the top  
> > program's
> > results a little longer.
> >
> > It would be nice if a program can get into position more quickly.   
> > Since the
> > games take longer, it can take several days to climb up from the  
> > initial
> > 1200 to 2000, especially if there is an early loos.  Does it make  
> > sense to
> > set the initial k value a little higher, or to set the initial  
> > rating to
> > 1500 instead of 1200?
> >
> > -David
> >
> >
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