Hi Roger,
 
Here are two revised plots with envelopes updated (tho' I'm still calculating...)
Netvarcorr.gif should replace index_gr_5 (give it that name if you want it to load in the memo htm page)
NetvsDevcorr.gif replaces index_gr_9.
 
The basic result is a pval of better than 0.003 for the alt-sec post 9/11 correlation.
The Z-score for that is 2.8.
 
The big picture that is emerging is this:
We show correlation between GCP data and a societal metric AND we show independently that the GCP data has non-random structure (via the alt-sec analysis).
The icing on the cake is that we can unpack the alt-sec analysis to show the data features that correlate on alternate seconds are precisely the ones that correlate with the poll. So it's a check and mate situation. I think we can show that this hangs together at the 0.001 pval level.
 
The big things we are learning are:
1. We can test to see if data trends are non-random (incredible!).
2. We can determine what stats capture the effect. For instance is it the netvar or the devvar? (this was the goal of the event-based analysis).
 
What we simplify for the moment is the possibility that the effect has several aspects (it could be global consc + experimenter, after all...)
 
So where do we go from here?
 
First, we should talk. Can we do it today?
We need to move quickly if we want to try for a Spring meeting.
Also, I need to make some commitments for the next 6-9 months in the next few days.
[I delayed decsions when I first saw the poll correlation]
What we decide to do for the project effects my choices.
 
Here's what I'd like.
1. Have an meeting in late April
If we want a meeting we should send the analysis memo to Dean (and Marylin?) asap to get them excited and fix the Ions date. If they're ok, send emails to principals and nail it down.
2. Write a paper for FoP
A big lesson I learned (the hard way) during my thesis and later during the post-doc at IBM was when one should cut the work and sit down and write a Letter. My gut is telling me big-time this is a cut-and-write case. I'm pretty sure we can get a Letter published. This is also an excellent preparation for the April meeting. It will also help loads for funding requests, so best to get it in the pipeline now.
3. Find some money so I can put time into the analysis.
Eternal problem but I'm a pumpkin without some revenue.
 
Some immediate next things to do:
1. Calculate the correlation of netvar and presidential poll data.
2. See if the correlation for alt-secs works on shorter timescales : look at 9/11.
If this is so we have independent evidence that the strong 3-day deviation after 9/11 was not merely an extraordinary chance fluctuation. That would be a substantial result.
3. Check the correlation for alternate minutes of data, instead of alternate seconds . [This will be a nail-in-the-coffin for "inherent electronic autocorrelations in the devices"-type arguments against anomalous interpretations. Actually, there is a good story with several parts to destroy those objections]
 
These 3 are all quick to do.
 
There are important and obvious further tracks to take. But most of them could potentially get bogged down and take considerable time to get right.
 
One priority direction is to look for another metric like the poll data.
Another is to look for a better stat than the netvar.
 [actually, I suspect that a measure of the average reg pair-correlation is the underlying statistic. This is a major component of the netvar...]
But I think we should focus on a draft paper for the end of February.
-P
----- Original Message -----
From: Peter Bancel
To: Peter Bancel
Sent: Monday, January 10, 2005 10:42 AM
Subject: c