The main trouble is that the data you are tabulating, although interesting in its own right, really doesn't have much utility ... although the same could be said of some of the other lists *cough*EGRL*cough*
Sometime last summer I started doing a tally of entries. I wasn't particularly concerned with whether they were blams or saves, just the volume of entries broken down by day of week and time of day (setting aside stats for holidays wasn't something I had gotten to the point of needing, as I started after 4 July and quit Labor Day). It's all well and good to observationally state that there's a flood of entries at ~2-3pm eastern, but is there really? Observationally, the full moon brings out the whackos and emergency rooms fill up. Statistically, the whackos come out and emergency rooms fill up just as much on full moons as at any other point in the lunar cycle.
I stopped tallying entries when James mentioned the possibility of there being a pop-up containing similar data. It never happened and I never started back up .. I think I even deleted the sheet lol Anyway, one thing you might consider doing, and it does not actually require you be on at all times, is a stat list one I abandoned. A lot of people here would be interested in that information, as it would allow them to try and plan ahead for an NG fix on a busy day ... let them work out what time would likely be best for them to come and vote to get some BPs. Since my system involved breakdown based upon saves, you'd be collecting the information you are currently tracking as you go along. Additionally, it doesn't actually require you to be around; you can be gone for a week and go back and get the data you missed.
If you're not already doing it, use the link at the base of the 50 Most Recent. They start out sorted by date and time (Eastern) and you can check the PID differential simply by mousing over the links to the entries.
For example, the first entry passing judgment on 11 June is Earthbound ALS Episode 8, arriving in the portal at 00:04. Mouse over it and the PID is 174227.
The first entry surviving entering after 01:00 is Transformers Live On, arriving at 01:29 with a PID of 174238.
The first entry arriving after 02:00 is NG Army News1, arriving at 02:12 with a PID of 17248.
For the 12 - 1 hour: 11 entries, 4 saves (Earthbound 8 - video games).
For the 1 - 2: 10 entries, 5 saves (Transformers - Stupid).
etc.
Situations like this one (I chose it for this reason) where you have ~90 minutes in an hour followed by 40 minutes in an hour will arise. In the first few stats you compile there will be huge B2S ratios in some "hours" and tiny B2S ratios in others due to this overlap. In the long run (after a month or so) they will average out and start becoming statistically insignificant.
One other thing with doing it this way ,of which you need to be aware, is that there is no factor for flagged flash in my system. Just because something didn't get saved does not mean it was blammed. Odds are it was, but there's always some that get whistled every day. Almost all of those whistles will eventually be blammed, so you are pretty safe in presuming that they "are/will be" blams. Some of those whistles will return to UJ if Wade or a Whistle Mod decides they were unfairly flagged. When they do finally pass judgement in ... say a week or a month ... they will appear in the list based upon their original submission date. It's extremely rare for movies to reappear after being whistled, but if you want accuracy you need to know about it and mention it. You can find those flash again, but, trust me, it is not worth the effort required for the frequency of returning flash.
Anyway, that's the system I was using and it might help you back track to fill in some of the blanks in your data. If you've got something that works better for you, run with it.
