geez
[Top] [All Lists]

Geex for Dummies

To: <geez@autox.team.net>
Subject: Geex for Dummies
From: "Wally Strzelec" <Wally@Tamu.edu>
Date: Thu, 18 Nov 1999 08:33:34 -0600
This is a multi-part message in MIME format.

------=_NextPart_000_0023_01BF319F.9A0197E0
        charset="iso-8859-1"

I think that what I need is a Geez for dummies guide.

I have two runs, one by myself in my car and another by a friend that drove
my car around 6 tenths faster then me on the same course.  His usage rating
is 99% and mine is 97%.  The usage ratings seem to support that his run was
better, but looking at the two runs side by side, I cannot tell the
difference between the runs.  They seem to match up tenth for tenth.

When you look at two runs, what kind of things do you look for when deciding
which run is better?

I have attached the runs in a zip file if someone cares to take a peek.

-Wally

------=_NextPart_000_0023_01BF319F.9A0197E0
        name="99111402.zip"
Content-Disposition: attachment;
        filename="99111402.zip"
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==

------=_NextPart_000_0023_01BF319F.9A0197E0--


<Prev in Thread] Current Thread [Next in Thread>