Of course you do! And I'm here to tell you. Well, not exactly, but pretty close.
The methodology:
I've reviewed every mention of the number of reservists which included a date. I've thrown out all those clearly wrong (775,000 from someone in Texas, for example), placed more weight from those more knowledgeable (PAG, certain posters who have inside information), placed less weight on those who included other known false information, and put the data in a spread sheet. Then I graphed the result. I cannot for the life of me figure out how to display the graph, so I'll present the data in chart form:
The chart:
Date......# of reservations
Mar 15.........0
Apr 1......5000
Apr 15.....8300
May1.....11700
May 15...15000
Jun 1.....16250
Jun 15....17500
Jul 1......18750
Jul 15....20000
Aug 1.....22000
Aug 15...26000
Sep 1.....30000
Sep 15...31250
Oct 1.....32500
The qualifications:
The first one is that it's not exactly right. The second is that it doesn't take into account the drop-outs.
The use:
Find out where your date falls in the chart, extrapolate a little, and you have a number. Not the exact number, of course, but I'd guess within a thousand or so.
The methodology:
I've reviewed every mention of the number of reservists which included a date. I've thrown out all those clearly wrong (775,000 from someone in Texas, for example), placed more weight from those more knowledgeable (PAG, certain posters who have inside information), placed less weight on those who included other known false information, and put the data in a spread sheet. Then I graphed the result. I cannot for the life of me figure out how to display the graph, so I'll present the data in chart form:
The chart:
Date......# of reservations
Mar 15.........0
Apr 1......5000
Apr 15.....8300
May1.....11700
May 15...15000
Jun 1.....16250
Jun 15....17500
Jul 1......18750
Jul 15....20000
Aug 1.....22000
Aug 15...26000
Sep 1.....30000
Sep 15...31250
Oct 1.....32500
The qualifications:
The first one is that it's not exactly right. The second is that it doesn't take into account the drop-outs.
The use:
Find out where your date falls in the chart, extrapolate a little, and you have a number. Not the exact number, of course, but I'd guess within a thousand or so.