|
Bear with me while I explain the procedure before I get to the eye-opening results. I'll apologize for the length up front. Sorry. Data is included at the end of the post in comma delimited form.
METHODS/ASSUMPTIONS:
1) Numbers are generated for new or available voters to Bush and Kerry in the 2004 election when compared to votes cast for Bush and Gore in 2000.
2) New or available voters are assumed to be what's left over after these assumptions: a) All Bush voters in 2000 voted Bush in 2004 b) All Gore voters in 2000 voted Kerry in 2000 c) All other candidate voters in 2004 did not vote for Bush or Gore in 2000 d) a) & b) are likely false in and of themselves, however, these assumptions also hold true as long as an equal number of 2000 Bush voters switched to Kerry as Gore voters switched to Bush. As you will see, even this becomes a moot point based on the orders of magnitudes of these numbers.
3) The required margin of votes in the new/available voter data set is determined by comparing 2000 results with 2004 results, both total and by candidate.
For example, out of the 1000 people in a theoretical 2004 county, let's assume 550 voted Bush, 400 voted Kerry, and 50 voted for another candidate. In 2000, let's say the total voters were 900, and the count went 450 Bush, 380 Gore, 70 Other. In this scenario there are 100 extra voters + 20 fewer voters who picked neither Rep or Dem. So, we have 120 extra voters for Reps & Dems. In order for the 2004 results to be accurate, the new/available voters had to vote 100 Bush to 20 Kerry.
4) The vote percentages for the data set consisting of new/available voters is compared to the total data set for the county. In the previous example, the new/available voters voted 100/120 (83%) for Bush. But the county as a whole voted 55% Bush. I'm calling this a 28% variance between total votes and new/available votes. This would mean that over 12% of the total data set (120 votes out of 1000), there was a 28% difference.
5) These numbers are broken down by the average precinct size to illustrate how just a few switched votes at the precinct level can both make a huge difference, and can be rooted out in numbers.
RESULTS:
New/available voters represent anywhere from 12% - 31% of the total vote. This means that our sample size is significant.
60 of the 67 Florida counties exhibited a variance in favor of Bush. This may not be surprising by itself, since Bush supposedly increased his margin of victory in the state. But we have to consider that this variance is based on the final 2004 vote totals, meaning this increased margin is already taken into consideration.
5 counties (Holmes, Hardee, Union, Calhoun, and Baker) show more increased Bush votes than available voters. The only possible explanation of this is that not only did Bush receive every single one of the votes from people who didn't vote in 2000, he got every reduced third party vote, and then got more Gore voters to switch to him than Kerry got to switch from Bush. For example, Holmes County voted 77.3% Bush in 2004 over 8,298 votes. There were an 1,032 more votes available to Bush and Kerry than to Bush & Gore. Bush received 1,399 more votes in 2004 vs. 2000, or 136% of the new/available vote. This is a 58% variance on 12.4% of the data set. Un-freakin-believable.
39 counties have Bush-favored variances over 10%, 17 are over 20%, 7 are over 30%, and 4 are over 40%.
These variances are not isolated to only counties that Bush won. Bush-favored variances exist in 6 counties that Kerry took (Kerry only took 11). Kerry favored variances only exist in 7 counties, 6 of which have variances under 2.5%, the other is 6.5%.
Here's a big observation!: 23 of the 24 counties with the highest Bush variances used Optical Scan vote machines, including the top 19! Of the other 43 counties, 14 were touchscreen, 29 were optical scan. Considering there were only 15 counties total that used touchscreen, the top heavy overload of opscan counties is significant. But, the most intriguing observation of all, IMO? Consider the average precinct size in this analysis, which was 971. The average county precinct size ranged from 1795 in Okaloosa to 302 in Liberty. The average new/available voters per precinct ranged from around 60 to 350. Based on the Bush margin, these new/available voters would be expected to vote at the same percentage as the total for the particular county, an average of about a 135-90 margin (county-county average). However, there was an average 29 vote variance in this tally, meaning if you expected a 135-90 margin based total percentage, we are actually getting an average of 164-61 in the new/available votes. The avg. precinct variances in favor of Bush ran from 1 vote up to 71 votes, with a mean of 29 and a median of 26. These are fairly consistent variances at a precinct level, don't you think?
CONCLUSIONS: (As much as someone like me can conclude)
The variance between the 2000 vote and the 2004 vote just doesn't seem possible. Theories that have been floating around lately, such as the vulnerability of the op-scan tabulators and the huge discrepancy between party registrations and actual vote results in many "dixiecrat" counties, are only further supported by this data.
Only 20 - 40 votes being switched from Kerry to Bush at a precinct level generates the sort of "landslide" victory that we saw in this election.
We have to investigate at a precinct level in order to narrow down the search to find deliberate intent to alter this election. There have to be precincts out there that have virtual mathematically impossible results when compared to the 2000 election.
NEXT STEPS:
Find and document probabilities that such a high portion of the total data set (20% - 30%) can be 20%, 30%, even 50% off from the total. Get these probabilities out. Think Olbermann.
Evaluate the assumptions that were made at the beginning to see if invalid assumptions could lead to any wrong conclusions.
Support Bev Harris and the people who are actually looking for proveable and not circumstantial (such as this) evidence that this election was fraudulent.
Thanks for listening!
Data Below, Comma Delimited
,,,,,,,,,, County,# of Precincts,Total Votes,Total Vote Bush %,New/Available Votes,Expected Bush to Kerry Tally per Precinct for New/Available Voters,Change in Expected Bush-Kerry Tally per Precinct for New/Available Voters,Bush to Kerry Tally per Precinct for New/Available Voters,Available Voter Bush %,Variance Between Total Vote & New Available Vote,Data Sample Size % New/Available Votes to Total Votes Ratio holmes,18,"8,298",77.25%,"1,032",44 to 13,33,78 to -20,135.56%,58.31%,12.4% hardee,12,"7,246",69.65%,"1,091",63 to 28,44,107 to -16,117.51%,47.85%,15.1% union,11,"4,675",72.64%,908,60 to 23,37,97 to -14,117.18%,44.54%,19.4% calhoun,15,"5,961",63.41%,868,37 to 21,24,60 to -3,104.49%,41.08%,14.6% putnam,55,"30,964",59.12%,"5,165",56 to 38,33,88 to 6,94.06%,34.94%,16.7% gulf,16,"7,256",66.07%,"1,245",51 to 26,26,78 to 0,99.92%,33.85%,17.2% baker,9,"9,955",77.73%,"1,916",165 to 47,71,236 to -24,111.06%,33.33%,19.2% liberty,10,"3,021",63.79%,663,42 to 24,19,61 to 5,92.01%,28.22%,21.9% hernando,56,"75,832",52.93%,"11,853",112 to 100,57,169 to 42,80.07%,27.14%,15.6% washington,21,"10,365",71.09%,"2,488",84 to 34,29,113 to 5,95.42%,24.33%,24.0% dixie,11,"6,440",68.84%,"1,869",117 to 53,41,158 to 12,92.88%,24.05%,29.0% gilchrist,10,"7,012",70.37%,"1,740",122 to 52,41,163 to 11,93.91%,23.54%,24.8% bradford,22,"10,851",69.61%,"2,308",73 to 32,24,97 to 8,92.68%,23.07%,21.3% levy,20,"16,649",62.51%,"4,225",132 to 79,45,178 to 34,84.02%,21.51%,25.4% highlands,27,"41,491",62.36%,"6,847",158 to 95,52,210 to 44,82.78%,20.42%,16.5% okeechobee,18,"12,197",57.28%,"2,493",79 to 59,28,107 to 31,77.42%,20.13%,20.4% jackson,28,"19,797",61.20%,"3,661",80 to 51,26,106 to 24,81.32%,20.12%,18.5% lafayette,7,"3,325",73.98%,846,89 to 31,23,113 to 8,93.38%,19.40%,25.4% columbia,25,"24,984",67.05%,"6,771",182 to 89,50,232 to 39,85.50%,18.44%,27.1% sumter,42,"31,837",62.18%,"9,615",142 to 87,40,183 to 46,79.75%,17.57%,30.2% walton,32,"23,974",73.22%,"5,942",136 to 50,32,168 to 18,90.39%,17.17%,24.8% suwannee,19,"15,801",70.58%,"3,593",133 to 56,32,166 to 23,87.59%,17.00%,22.7% brevard,221,"265,075",57.66%,"50,488",132 to 97,39,170 to 58,74.58%,16.92%,19.0% polk,161,"210,777",58.61%,"44,020",160 to 113,46,206 to 67,75.50%,16.90%,20.9% broward,"1,032","704,376",34.60%,"130,454",44 to 83,20,64 to 63,50.44%,15.84%,18.5% bay,59,"74,998",71.19%,"16,959",205 to 83,45,250 to 37,86.98%,15.79%,22.6% franklin,10,"5,930",58.55%,"1,372",80 to 57,21,102 to 35,74.20%,15.65%,23.1% pasco,172,"190,866",54.07%,"49,783",156 to 133,45,201 to 88,69.53%,15.47%,26.1% citrus,41,"69,462",56.86%,"13,480",187 to 142,50,237 to 91,72.19%,15.33%,19.4% taylor,14,"8,580",63.71%,"1,810",82 to 47,18,101 to 29,77.90%,14.19%,21.1% volusia,179,"228,358",48.85%,"47,202",129 to 135,34,163 to 101,61.83%,12.99%,20.7% pinellas,380,"455,203",49.57%,"65,539",85 to 87,22,107 to 65,62.26%,12.69%,14.4% santa rosa,43,"67,213",77.35%,"17,549",316 to 92,50,365 to 43,89.54%,12.20%,26.1% palm beach,695,"542,835",39.03%,"116,909",66 to 103,19,85 to 83,50.42%,11.38%,21.5% wakulla,12,"11,763",57.61%,"3,323",160 to 117,29,189 to 88,68.16%,10.55%,28.2% charlotte,83,"79,730",55.69%,"13,558",91 to 72,17,108 to 55,66.20%,10.51%,17.0% okaloosa,52,"89,707",77.65%,"19,971",298 to 86,40,338 to 46,87.93%,10.29%,22.3% martin,50,"72,430",57.09%,"10,957",125 to 94,22,148 to 72,67.35%,10.26%,15.1% glades,13,"4,188",58.33%,878,39 to 28,7,46 to 21,68.56%,10.23%,21.0% desoto,15,"9,495",58.05%,"1,846",71 to 52,12,84 to 39,68.04%,9.99%,19.4% nassau,24,"32,664",72.65%,"8,921",270 to 102,35,305 to 66,82.14%,9.49%,27.3% osceola,93,"82,178",52.46%,"27,332",154 to 140,28,182 to 112,61.82%,9.36%,33.3% manatee,136,"143,539",56.62%,"35,371",147 to 113,24,171 to 89,65.93%,9.31%,24.6% marion,143,"139,644",58.20%,"38,716",158 to 113,25,183 to 88,67.48%,9.29%,27.7% flagler,34,"38,475",51.03%,"11,696",176 to 168,31,206 to 138,60.01%,8.99%,30.4% escambia,91,"142,990",65.30%,"27,650",198 to 105,25,224 to 80,73.60%,8.30%,19.3% st. lucie,75,"99,913",47.56%,"23,015",146 to 161,25,171 to 136,55.68%,8.12%,23.0% lake,103,"123,938",60.02%,"36,017",210 to 140,27,237 to 113,67.67%,7.65%,29.1% seminole,126,"186,115",58.10%,"50,213",232 to 167,26,258 to 141,64.62%,6.53%,27.0% clay,64,"81,230",76.18%,"24,418",291 to 91,24,315 to 67,82.50%,6.32%,30.1% indian river,57,"61,321",60.12%,"12,398",131 to 87,14,144 to 73,66.41%,6.29%,20.2% hillsborough,360,"461,520",53.00%,"107,702",159 to 141,19,177 to 122,59.28%,6.28%,23.3% st. johns,68,"86,262",68.60%,"26,519",268 to 122,21,289 to 101,74.03%,5.43%,30.7% lee,225,"241,433",59.82%,"59,078",157 to 106,13,170 to 92,64.78%,4.97%,24.5% sarasota,167,"195,530",53.51%,"37,059",119 to 103,10,129 to 93,58.10%,4.59%,19.0% alachua,69,"111,022",42.89%,"28,474",177 to 236,19,196 to 217,47.38%,4.49%,25.6% orange,263,"387,752",49.62%,"110,870",209 to 212,11,220 to 202,52.20%,2.58%,28.6% monroe,30,"39,525",49.24%,"6,569",108 to 111,6,113 to 106,51.80%,2.56%,16.6% madison,11,"8,307",50.51%,"2,192",101 to 99,5,105 to 94,52.83%,2.32%,26.4% miami-dade,872,"768,553",46.66%,"146,371",78 to 90,1,79 to 89,47.20%,0.53%,19.0% hamilton,10,"5,079",54.97%,"1,184",65 to 53,0,65 to 54,54.56%,-0.41%,23.3% hendry,26,"9,774",58.89%,"1,729",39 to 27,0,39 to 28,58.36%,-0.53%,17.7% duval,285,"379,614",57.76%,"117,410",238 to 174,-2,236 to 176,57.20%,-0.56%,30.9% jefferson,15,"7,477",44.11%,"1,913",56 to 71,-2,55 to 73,42.86%,-1.24%,25.6% leon,116,"136,314",37.85%,"34,935",114 to 187,-6,108 to 193,35.87%,-1.98%,25.6% collier,96,"128,352",65.04%,"36,827",250 to 134,-10,240 to 144,62.55%,-2.49%,28.7% gadsden,27,"20,984",29.80%,"6,380",70 to 166,-15,55 to 181,23.29%,-6.51%,30.4%
|