Some relatively-easy-to-measure statistics that will allow us to track usage of #p2. See the methodology notes below for measurement. For some earlier measurements and analysis, see #p2: statistics, with a gender perspective on Liminal States

					Stats	for last 24	hours
Date and time (PDT)	unique contributors in the last week	oldest tweet on #p2 front page	tweets to #p2	tweets involving 10 most frequent tweeters	crossposted to a conservative hashtag	crossposted to #fem2, #woc, #somewoc, or #women	about / to conservatives	about EFCA or unions	about Iraq, Iran, Afghanistan, or Pakistan	about torture
May 10, 9:30 am	990	about 1 hour	552	158 (28%)	157 (28%)	27 (5%)	205 (36%)
May 10, 4 pm								0	7	10
May 11, 3 pm	972	35 min	804	182 (23%)	264 (33%)	37 (5%)	353 (44%)	9	21	31
May 12, 7 pm	1019	about 1 hour	1290	246 (19%)	608 (47%)	61 (5%)	670 (52%)	13	23	28
May 13, 7:30 pm	1084	19 min	1260	269 (21%)	624 (50%)	44 (4%)	702 (56%)	10	19	108
May 17, noon	1128	about 1 hour	640	270 (42%)	377 (59%)	8 (1%)	386	8	9	29
May 20, 3 p.m.	1059	22 min	1900 (est.)*	557	1000			47		73

* twitter search cuts off after 1500 in the last in 20 hours

Participation differences: tweeting vs. hashtag discussion

There are stark differences in participation between the May 14 tweeting and general discussions on the hashtag:

• over 50% of the participants in the tweeting were women, and over 50% of the tweets came from women.
• at least 80% of the most frequent tweeters on the #p2 hashtag are male; 80% or more of the tweets come from men
  
• none of the most frequent participants on the hashtag attended the tweeting
  

	Most frequent tweeters, May 10-17, according to wthashtag*		Most frequent participants at May 14 tweeting (details here)
	@Cody_K - 851 @mikearama - 718 @jilevin - 642 @fleckman - 493 @Shoq - 465 @ericgrant - 416 @matttbastard - 352 @buymyshirt - 348 @bradbaumn - 335 @GStuedler - 327		seasonothebitch jdp23 myrnatheminx problemchylde savagemike harrywaisbren cny3matic jakearyehmarcus geekosaur humanfolly

* wthashtag's order seems to be roughly accurate although the number of tweets they report is far higher than can be found by Twitter search. so take it with a grain of salt. still, it's a useful and easy data point.


here's a query for the tweets from the eight most frequent and tweets involving the 10 most frequent

Most frequent tweeters, May 4-10

Note from Jon: apologies in advance to anybody I overlooked. I calculated this by doing a search on Twitter for tweets from each profile to #p2; for example, the search for Tracy is #p2 from:myrnatheminx

	Overall -- sorted by # of tweets		Female-identified personas (based on avatar, name, web sites, etc; apologies for any miscategorizations)
	518: jilevin 465: Shoq + p2info 349: mikearama 267: jdp23 + p2pt0 258: buymyshirt 228: davidbadash + gaycivilrights 207: ericgrant 157: yatpundit 151: MichaelShatz 148: Mickey_X		101: Cody_K 85: Karoli 77: cyn3matic 59: CheshireCat 59: 1txsage1957 55: rizzz 47: StephanieInCA 38: ProfChandler 32: JakeAryehMarcus 31: MadamaAmbi

Additional notes

p2info ("official" #p2 profile): 17 tweets
myrnatheminx (#p2 hashtag creator): 26
AdrielHampton (#gov20 creator + congressional candidate): 34
drdigipol (#topprog creator): 22
GloPan (#fem2 hashtag creator): 13
JillMz (#diversiytfail/#diversitywin creator): 7
davidbadash and gaycivilrights (#firefoxx creator + his blog): 123 + 105
matttbastard and seasonothebitch (from #rebelleft): 128 and 20 respectively

AntoniaZ and AriMelber (highest-profile journalists involved with #p2, I believe): 13 and 8 respectively

longtime #p2 members baratunde, humanfolly, digitalsista, maegancarberry, sairy, problemchylde, womenwhotech and chrisemeserole were all busy with other things this week and tweeted 3 times or less

May 11-17 data from wthhashtag

1. @Cody_K - 851
2. @mikearama - 718
3. @jilevin - 642
4. @fleckman - 493
5. @Shoq - 465
6. @ericgrant - 416
7. @matttbastard - 352
8. @buymyshirt - 348
9. @bradbaumn - 335
10. @GStuedler - 327

Methodology

• unique contributors and from @wthashtag's #p2 page
• list of 10 most frequent tweeters originally from @wthashtag, and then checked manually. more information below
  
• all other data calculated manually using Twitter search. the links go to the queries we use. to get the actual numbers, i use the "older" link (or directly manipulate the page_id in the search URL) to get back to which page has the oldest tweet in the last 24 hours. you'd think there's a better way but apparently not.