I won't go deeper into my evidence or arguments, beyond emphasizing the following: The poll-worker-instigated annotations on the ballot information slips that John recovered from the morning-after-Election-Day trash at Pct 324 provided a workable mechanism for deliberately creating numerical patterns that are "statistically impossible" if they are supposed to have happened by random accident (longer story available on request).
Suffice it to say that we have found evidence that Pct-324 poll workers STUFFED the (optical scan) ballot box with HAND COUNTABLE PAPER BALLOTS (HCPBs) that had the effect of shifting the presidential vote in this precinct by at least 12.8%. If the paper ballots in the box were to be RE-counted by hand, the votes on paper would agree with the votes counted by the (un-hacked) optical scanner -- even though by my count 44 Kerry valid ballots were made to disappear and 80 Bush ballots were illegally created by the poll workers.
John calls such an act by colluding poll workers "the STACK." The type of person who would shamelessly commit such a crime against our democracy has been examined in immense detail by Mark Crispin Miller in his book Fooled Again. There are certainly enough of these folks (around 40 million) to have infiltrated most or all poll-worker positions in several percent of the polling stations nationwide.
I suppose that by now everyone knows about "the HACK" (specifically, the "Hursti Hack"):
But let my just give the technical summary. In 2004, approximately 25 million Americans voted on optical-scan voting machines employing 1.94w memory cards. The 1.94w card illegally contains "interpreted codes" which can be hacked to change the final ballot counts without leaving a trace ...EXCEPT for the HCPBs inside the ballot box.
So if just a few percent of the ballot boxes are stuffed in the manner that John Brakey and I have uncovered at Pct 324 -- and crooked election officials manage to pick only those precincts for recounts (which are SUPPOSED to have been randomly selected) -- the more widely executed HACK would be covered up.
Is there evidence that this might have been what happened?
The reader should decide for him/herself by inspecting the accompanying graphic labeled "2004 Florida and Pennsylvania Registration and Voting". This graphic was picked from a now-defunct internet site, americanimage.com, which employed raw data found (and still available) at
American Image's unique contribution was to show (a) voter registration by party, (b) 2004 ballot tallies for president, (c) voting machine type, and (d) county size, ALL ON THE SAME GRAPH, by using a color scale to portray both (a) and (b). The most spectacular thing you will see in this graphic is that the 25 smallest counties in Florida THAT EMPLOYED DIEBOLD OPTICAL-SCAN machines were the most skewed toward Bush. That is, the dark-to-medium blue colors in the left column signify that 10 to 30% of the electorate were registered Republican in these 25 counties, whereas the medium-green-to-red-magenta colors in the second column signify that 45 to 80% of these same voters appeared to choose Bush in 2004.
Why should the pro-Bush skew be confined (mostly) to the smallest counties? And why is this skew mainly confined to voters who voted on optical-scan machines?
My answer to the first question is that (1) the smallest counties are probably the most vulnerable to takeovers of the polling places by colluding poll workers (the "STACK"), (2) small counties are less likely to be checked by exit polls, and (3) Karl Rove is thereby enabled to play on the myth of the "Dixiecrat effect" in small rural counties in Florida. As for the second question, it is easy to suppose that Karl knew that the touch-screen machines would the objects of much suspicion, so by minimizing vote theft on the touch screens (this time), an illusion of honesty could be achieved.
Greg Palast http://www.gregpalast.com/ believes that the 2004 Election was stolen by means of the disappearance of 3.6 million ballots that were cast but not counted. (The U.S. Census Bureau places the figure at 3.4 million.)