Originally Posted by vinnie
88 hands you have 10,481.2 bb +/- 2,619.6 bb to cover two std deviations.
44 hands you have 7,508.8 bb +/- 2030.2 bb to cover two std deviations
Normalize the 44s to have the same number of hands
44 hands now have 11,752.5 bb +/- 2,619.6 bb
88 hands now have 10,481.2 bb +/- 2,619.6 bb
Now the 44 hands are ahead, for sure. But, when you look at the expected amount of swing that is typical for a 95% certainty, they are basically the same.
The end result of this whole discussion is the same conclusion that most of the real data geeks come to, our sample sizes are almost always far too small to say anything about results. We need tens of thousands of hands, if not hundreds of thousands or millions.
300 run for a single hands is enough - because it is a single hands... it could be calling the long run.
besides these are from reg players. - the sample pick [I use the way for something like presidents election pick up pool methods <-- not sure if use correctly] is enough to cover the variance.
I use the allias for reg player, don't think the variance need to see this hug. - 150 BB/100 hands near 150/800=19% edge difference.
44 wining rate 971BB/100 hands
88 wining rate 814BB/100 hands
besides I think I got an idea from one of my poker friends, want to know if any inspiration here .
thanks for the comment.