traynor
Active Member
Its an interesting opinion. Mine is different. The idea that datasets layered appropriately cannot be used as a representative sampling of a larger population is inaccurate. It just takes a bit more thought in layering and modeling.Cass said:This looks like a Newbie comment. daily and weekly? I would say 1000 table hours is a pretty good determination of how well someone can play.... And even that I would not say is the LONG term. My last twenty hours of play I've been making 3x what my EV is supposed to be. Does that mean I must be a really great player? NOt bloody likely!
What you do on any given day is irrelevant, except if you do it regularly, over a number of days. Consider a bootstrap algorithm that extracts daily totals from a week or two (or three); using random sampling without replacement, you can get a nice overview of reality. If there are spikes in the dataset, it indicates anomalies. Your unusual results for a given day or two would show up as a spike, and be routinely discarded. When a given dataset indicates relatively consistent data points, and those data points are consistently higher than a baseline, it provides interesting information.
Good Luck