SW> The best I've seen -- based on double-dummy simulations, which may be
SW> inaccurate -- is this:
On 2012-03-23 6:17 PM, KWSchneider wrote:
> On what basis do you say "best I've seen?" Just curious...
"Best" is a personal opinion based on a combination of accuracy and ease
of use. Accuracy is based on what I've seen written plus personal
experience, but I was particularly influenced by Tysen Strieb's
evaluation of other people's count methods and (I think it was his)
evaluation of suit patterns. And bear in mind the explicit
qualification of double-dummy evaluators, which we know are biased in
specific ways.
> I will continue to mock suit evaluations that discount trump length and the relative importance of trump honors. Even Thomas Andrew's work in a suit context [which started me on this journey in 1999], uses an arbitrary measurement called "best trump suit", which is essentially meaningless.
No one thinks distribution is irrelevant, but I should have made that
explicit. My comments Kurt quoted were limited to honor count. For
distribution, Goren count is as good as anything I've seen except that
it overvalues 4441 shape by about half a point. Honor count in trumps
is slightly tricky because minor honors are worth _less_ as length
increases, but at that level, no point count is going to be adequate.
For the record, I think Kurt's work with single-dummy evaluators is
important and innovative, but I'm not yet convinced that it's accurate.
Part of the reason is that I simply haven't seen enough data to make a
judgment. My main worry, though, is that Kurt's count seems to be based
on knowing the trump suit, whereas when opening the bidding (for
example), we really don't know what suit will be trumps. What's needed,
I think, is some kind of weighted average over all denominations. Minor
worries are that GIB apparently makes weird opening leads, and I'm not
sure Kurt's representation of his data is as simple as possible (but see
above about lack of data). That said, I'm sure single-dummy evaluation
has potential to be a major step forward.
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