Proving Election Fraud: The PC, Spreadsheets and the Internet
Mar. 31, 2016
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Exit Poll (E-book)
LINKS TO WEB/BLOG POSTS FROM 2004
Election Fraud Overview
1- Personal computer (1979)
2- Spreadsheet software (1981)
3- Internet data access (1995)
A BRIEF HISTORY OF COMPUTERS AND SPREADSHEET TECHNOLOGY
Before the advent of the personal computer, mainframes and minicomputers were programmed by professionals in major corporations. Programming was hard and time consuming. Computers were used by scientists, engineers, investment bankers and other analytical professionals.
In 1965, my first job was as a numerical control FORTRAN programmer in the aerospace industry. I programmed the 7094 IBM mainframe , a 512k machine which required a full floor of office space. It was on rental from the U.S. Navy.
Computers grew in power and were smaller in size during the 1970s. I was hired by Merrill Lynch on Wall Street as a manager of software development in Investment Banking. I continued to program in FORTRAN- this time for financial models.
In the late 1970s, the personal computer became available. They were considered as toys (myself included) until the first spreadsheets appeared. All of a sudden, I could do simple calculations without having to write complex programs. When Lotus 1-2-3 became available in 1982, it had limited programming features (“macros”). I immediately began to convert my financial FORTRAN programs to spreadsheets – and added graphics capabilities. I continued to use Lotus as a consultant to major domestic and foreign corporations until 1995 when I switched to Excel (which was used along with C++ for advanced financial data base and derivatives models).
MATRIX OF DECEIT
A matrix is just a table (rectangular array) of numbers. In a spreadsheet, the table consists of data in cells (column, row). Basic arithmetic operations applied to the matrix are sufficient to prove election fraud.
Actual, raw unadjusted exit poll results are changed in all matrix crosstabs (demographics) to conform to the recorded vote. The crosstab “How Did You Vote in the previous election?” has proved to be the Smoking Gun in detecting presidential election fraud from 1988-2008.
Gore won the unadjusted National Exit Poll and State Exit Poll aggregate which indicated that he won by 3-5 million votes, not the 540,000 recorded. But the National Exit Poll was forced to match the recorded vote. The election was stolen – big time.
|2000 Unadjusted National Exit Poll (13,108 respondents)|
|2000 Unadjusted State Exit Poll Aggregate|
|2000 National Exit Poll (forced to match recorded vote)|
Kerry won the unadjusted National Exit Poll and State Exit Poll aggregate by 6 million votes. He won the Tue Vote Model (assuming a plausible estimate of returning 2000 election voters) by 10 million votes with a 53.7% share.
The Final National Exit Poll was forced to match the recorded vote (Bush won by 3 million). The election was stolen – big time.
|2004 Unadjusted National Exit Poll (13,660 respondents)|
|2004 Unadjusted National Exit Poll|
|(implausible 2000 returning voters; Gore won by 4-6m)|
|2004 Final Adjusted National Exit Poll|
|(Impossible Bush 2000 voter turnout; forced to match recorded vote)|
Obama won the unadjusted National Exit Poll with 61% (a 30 million vote margin) and the State Exit Poll aggregate with 58% (a 23 million vote margin). But the Final National Exit Poll was forced to match the recorded 9.5 million vote margin. The landslide was denied.
|2008 Unadjusted National Exit Poll (17,836 respondents)|
|2008 Final National Exit Poll|
|(forced to match recorded vote)|
|2008 Unadjusted National Exit Poll|
|(plausible returning 2004 voter mix)|
|Voted||2004||2008||Exact match to TVM & unadj state exit pollls|
|Adjusted 2008 National Exit Poll|
|(forced to match recorded vote with|
|Voted||2004||2008||impossible returning 2004 voters)|
2004 Sensitivity Analysis
How is Kerry’s vote share effected by changes in vote share assumptions? Consider the following matrices (tables). He wins all plausible scenarios.
|2004 True Vote Model|
|(Plausible 2000 returning voter mix)|
|Kerry share of returning Gore voters|
|returning Bush 2000||Kerry Vote Share|
|2004||Kerry share of New voters (DNV)|
|Kerry share of||53.0%||55.0%||57.0%||59.0%||61.0%|
|returning Bush 2000||Kerry Vote Share|
|Kerry Win Probability||53.0%||55.0%||57.0%||59.0%||61.0%|
|Win Prob||(3% MoE)|
Mar. 14, 2016
This is a May 10, 2008 post I wrote during the 2008 Democratic primaries in which Clinton ran against Obama. It is interesting and instructive to compare 2008 to the recent analysis of the 2016 MA and MI Democratic primaries.
Hillary thought she would have the nomination locked up by Super Tuesday, Feb.5. The GOP wanted to run against her from the start. They knew that they couldn’t beat Edwards in the GE, so they made sure that he would be out of the race if they got the media to ignore him. But Obama proved to be a much tougher opponent than either the GOP or Clinton ever expected.
So now Clinton and the GOP are doing everything they can to prop up Hillary and derail Obama. Beginning with her miraculous New Hampshire “win”, there has been an ongoing effort to pad her votes at Obama’s expense. Rovian tactics are being used to divide and conquer: it’s the only way that McCain can win. The media does not discuss the many indications of election fraud.
In the 21 primaries exit polled, Obama led by 50.4-45.8% . But Clinton led by 48.4-47.1% in the recorded vote – a 5.9% discrepancy . The margin discrepancy exceeded 13% in 5 states. The exit poll vote shift favored Clinton in 18 of the 21 primaries. The 2.5% margin of error was exceeded in 11 states. The probability that the discrepancies would be due to chance is effectively zero.
Obama does much better in human-counted caucuses than in machine-counted primaries. Texas is a perfect example. There was a 30% difference in Obama’s margin between the primaries (49-47%) and the caucuses (66-34%). His recorded vote margin is dwarfed by his lead in the exit polls. But that’s not unexpected; the progressive (i.e. Democratic) candidate always does better in the exit polls than in the vote count due to uncounted and switched votes. The exit poll discrepancies would be expected to be equally distributed between the two parties. The fact that they virtually always move in favor of the most conservative candidate indicates likely fraud.
Obama currently leads Clinton by over 700,000 in the recorded vote and by over 160 in pledged delegates. But if the exit polls and caucuses reflect the True Vote, he would be leading by more than 1.5 million votes. That would make a tremendous difference in his pledged delegate margin.Obama would be the nominee right now were it not for election fraud.
For Clinton to catch Obama in pledged delegates, she needs 93% of the vote in the remaining primaries. But if Obama wins 50%, he will need just 22% of the 256 uncommitted super delegates to clinch the nomination. Since Super Tuesday there has been a steady trend in SDs to Obama.
Exit polls are adjusted to conform with the actual recorded vote tally, even if it is corrupted. The WPE is the difference in the average precinct exit poll margin and the recorded vote margin. In Jan. 2005 exit pollsters Edison-Mitofsky reported that Kerry led the unadjusted exit polls by 51.8-47.2. There was a 7% difference (WPE) between Kerry 4.6% margin and Bush’s 2.4% (50.7-48.3) recorded vote margin.
Just before the March 4 Texas and Ohio primaries, Rush Limbaugh called for “Operation Chaos” to get Republicans to cross over and vote for Clinton. Since March 4, there have been two sets of Republican crossover voters. The first set consists of Republican moderates who voted 2-1 for Obama. The second consists of Operation Chaos Republicans who voted for Clinton.
Final Exit poll data shows that since March 4, the percentage of Republican crossover voters has increased from 6% to 9%. The change has been totally to Clinton’s benefit. Assuming the first 6% of Republicans voted 59-28% for Obama, the other 3% (150,000) were Operation Chaos crossovers who voted 100% for Clinton!
Prior to March 4, Obama won the seven primaries in which Republicans participated by an average 57-38% vote. He won the Republican vote by 59-28%. Since March 4, Clinton has won the average vote by 51-47% and Republicans by 57-41%. Prior to March 4, Obama won the total vote by 50.1-45.6%. Since March 4, Clinton is leading by 50.8-47.8%.
Operation Chaos was one factor that may have caused Obama to lose the Texas primary by 51-47%. It definitely caused his 50.6-49.4% defeat in Indiana. Of course, the effect on pledged delegates was minimal.
The Final pre-election polls (3-4% MoE) gave Obama an average 8% margin over HRC. The early (unadjusted) exit poll had Obama winning by 8%. He won New Hampshire hand-counts by 5.90% but lost machine-counts by exactly the same margin.
Even though he finished third, Edwards would have done better in the general election than either Clinton or Obama.
Just like the 2004 battleground states exit poll red-shift to Bush, Clinton’s recorded vote share in 14 of 16 primaries exceeded her exit poll share. In New York, over 80 precincts, many in black areas, recorded Zero votes for Obama. Mayor Bloomberg called it fraud. In Los Angeles, 90,000 independent votes were uncounted due to the confusing ballot design (shades of the infamous Florida 2000 “Butterfly” which cost Gore over 3,000 votes).
Clinton’s vote share exceeded her 9pm exit poll share by 3.6% (55.2-51.6%). She won the recorded vote by 10.6% (55.3-44.7%) over Obama. But her exit poll margin was just 3.4% (51.7-48.3%). As always, the Final Exit Poll was adjusted to match the vote count. In addition, there isconcrete evidence that Republican cross-over voters played a significant role in delivering votes to Clinton. In Cuyahoga County 17,000 Republicans followed Rush Limbaugh’s advice and voted for her. And this was also the case in many other counties.
There was a strange, impossible result: Zero votes were cast for Republicans in 21 counties (all 36,239 ballots cast were for Democrats). Zero votes were cast for Democrats in 3 counties (all 1865 ballots cast were for Republicans). Did Republicans follow Rush Limbaugh’s advice and cross over to vote for Clinton? We can assume that crossovers, even if not 100%, occurred in other counties.
Obama won by 61-37%, but 25% of Clinton’s votes came from Republicans who followed the advice of Rush Limbaugh. Obama won 65% of Democrats and Independents.
Here dirty tricks caused votes (and pledged delegates) to be stolen from Obama. Hillary won the recorded vote by 54.7-45.3%. But 100% of the votes were machine-counted. The unadjusted, “pristine” early exit poll had Obama leading 52-47%. His 5% exit poll margin became a 9% recorded vote loss. Clinton led the adjusted exit poll by 52-47. The Final exit poll matched the recorded vote 54-45.
The latest media myth is that Rush Limbaugh’s Operation Chaos had no effect on the Indiana primary. Their argument is that the Clinton-Obama (53-47) share of the 10% Republican crossover vote is virtually the same as the split in the total vote. Clinton won by 50.6-49.4%, but Operation Chaos Republican crossovers inflated her vote by 4%. Obama should have been a 51.5-48.5% winner.
The Delegate Calculator is an Excel worksheet model for projecting the total number delegates.
“Managing Electoral Dynamics via Covert Vote-Count Manipulation”, a June 2008 Scoop article written by Jonathan Simon and Bruce O’Dell for the Election Defense Alliance, comes to similar conclusions regarding the stolen primaries: “We present evidence supporting the hypothesis that systematic attempts are being made to manipulate the results of the 2008 Democratic presidential nomination contest, through overt means such as crossover voting by non-Democrats, and through covert means targeted at the electronic vote tabulation process itself. The net effect has been to prolong the nomination battle and sharpen its negativity, thereby boosting the prospects of the Republican nominee and making more plausible his “victory” in November-either by an honest count or through continued exploitation of the proven security vulnerabilities in American voting systems”.
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Exit Poll (E-book)
LINKS TO WEB/BLOG POSTS FROM 2004
Election Fraud Overview
A Simple 2000-2012 Electoral Vote Simulation Model
July 27, 2015
Updated: Oct.5, 2015
Links to website and blog posts
Look inside the books:
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Reclaiming Science:The JFK Conspiracy
The purpose of the Monte Carlo Electoral Vote Simulation Model is to calculate the probability of a candidate winning at least 270 Electoral votes.
The Total EV is calculated as the sum of the products of the state win probabilities and corresponding electoral votes. The probability of winning each state is required in order to calculate the total probability of winning 270 EV. It is calculated using the projected two-party vote share and the margin of error (MoE) as input to the Normal distribution.
Prob = NORMDIST (vote share, 0.5, MoE/1.96, true)
The probability of winning the election is the ratio of winning simulation trials (at least 270 EV) to the total number of simulation trials (200).
The model contains the following 2-party vote shares:
2000- Gore unadjusted state and national exit polls and recorded shares
2004- Kerry unadjusted state and national exit polls and recorded shares
2008- Obama Unadjusted state and national exit polls and recorded shares
2012- Obama state and national True Vote and recorded shares
(In 2012, 19 states were not exit polled)
Only ONE input (code 1-8) is required to indicate the election and method:
2000: 1- exit poll, 2- recorded votes
2004: 3- exit poll, 4- recorded votes
2008: 5- exit poll, 6- recorded votes
2012: 7- True vote, 8- recorded votes
The Electoral Vote Histogram shows the results of 200 simulation trials.
There are three Total Electoral Vote calculations:
1-Theoretical EV: the product sum of state win probabilities and corresponding EVs.
2-Snapshot EV: sum of the projected electoral votes.
3-Mean EV: average EV of the all simulation trials.
In 2000, Gore defeated Bush by just 544,000 recorded votes. But he won the unadjusted state exit poll aggregate by 51.7-46.8%, Given that there were 105.4 million recorded votes, then based in the exit polls, he won by at least 5 million votes. There were 11 states in which he led the exit polls but flipped to Bush. If he had won just one, he would have won the election. If he won all 11, he would have had 408 electoral votes.
In 2004, Kerry had a 48.3% recorded share, 252 EV and lost by 3 million votes. But the unadjusted state and national exit polls indicate that he had 51-52% and won by 5-6 million votes with 349 EV. Seven states with 97 electoral votes flipped from Kerry in the exit polls to Bush in the recorded vote: CO,FL,IA,MO,NV,OH,VA. Kerry would have had 252+97=349 electoral votes had he won the states. The True Vote Model indicates that he had 53.5% and won by 10 million votes.
In the 2008 Election Model Obama’s 365.3 expected theoretical electoral vote was a near-perfect match to his recorded 365 EV. The simulation mean EV was 365.8 and the snapshot was 367. Obama’s won all 5000 election trials. His projected 53.1% share was a close match to the 52.9% recorded share.
The 2008 TVM exactly matched Obama’s 58% share of the unadjusted state exit polls: he won by 23 million votes (not the 9.5 million recorded) and had 420 electoral votes. Obama led the unadjusted National Exit Poll (17,836 respondents, 2% MoE) by 61-37%, an astounding 30 million vote margin.
The 2012 Monte Carlo Simulation Forecast exactly matched Obama’s 332 electoral votes and 51.0% total vote share. In the True Vote Model he had 55.6% and 391 Electoral votes.
Pre-election Registered Voter (RV) polls projected a 57% Obama share which closely matched the True Vote Model. Likely Voter (LV) polls are a subset of the RV polls. The LVs eliminate many new voters or others who did not vote in the prior election, cutting the projected Democratic share.
LV polls have an excellent track record in predicting the bogus recorded vote, as proven by the 2008 and 2012 Election Models. Final pre-election LV polls are used by the political pundits for their projections. After all, the media is paid to forecast the official recorded vote – not the true vote.
Summary: 2004-2012 Election Forecast; 1968-2012 True Vote Model
Sept. 14, 2014
1988-2008 State and National Presidential True Vote Model https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0
1968-2012 National Presidential True Vote Model https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFpDLXZmWUFFLUFQSTVjWXM2ZGtsV0E#gid=4
1988 (24 unadjusted state exit polls)
Recorded Vote: Bush 53.4-Dukakis 45.7%
Unadjusted National Exit Poll: Dukakis 49.8-49.1%
Unadjusted State Exit Polls aggregate: Dukakis 51.6-47.3%
True Vote Model: Dukakis 50.2-48.8% https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=13
Recorded Vote: Clinton 43.0-Bush 37.4%
Unadjusted National Exit Poll: Clinton: 46.3-33.5%
Unadjusted State Exit Polls aggregate: Clinton: 47.6-31.7%
True Vote Model: Clinton: 51.1-30.4% https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=17
Recorded Vote: Clinton 49.2-Dole 40.8%
Unadjusted National Exit Poll: Clinton 52.2-37.5%
Unadjusted State Exit Polls aggregate: Clinton 52.7-37.0%
True Vote Model: Clinton 53.6-36.5% https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=16
Recorded Vote: Gore 48.4-Bush 47.9%
Unadjusted National Exit Poll: Gore 48.5-46.3%
Unadjusted State Exit Polls aggregate: Gore 50.8-44.4%
True Vote Model: Gore 51.5-44.7% https://richardcharnin.wordpress.com/2011/11/21/unadjusted-state-exit-polls-indicate-that-al-gore-won-a-mini-landslide-in-2000/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=4
Recorded Vote: Bush 50.7-Kerry 48.3%, 255 EV
Election Forecast Model: Kerry 51.8%, 337 EV (snapshot)
Unadjusted National Exit Poll: Kerry 51.7-47.0%
Unadjusted State Exit Polls aggregate: Kerry 51.1-47.6%, 337 EV
True Vote Model: Kerry 53.6-45.1%, 364 EV
Recorded Vote: Obama 52.9-McCain 45.6%, 365 EV
Election Forecast Model: Obama 53.1%, 365.3 EV (simulation mean)
Unadjusted National Exit Poll: Obama 61.0-37.2%
Unadjusted State Exit Polls aggregate: Obama 58.0-40.5%, 420 EV
True Vote Model: Obama 58.0-40.4%, 420 EV
Recorded vote: Obama 51.0-Romney 47.2%, 332 EV
Election Forecast (2-party): Obama 51.6-Romney 48.4%, 332 EV (Snapshot)
True Vote Model: Obama 55.2%, 380 EV
Unadjusted National Exit Poll unavailable
Unadjusted State Exit polls unavailable (19 states not polled)
The Ultimate Smoking Gun that proves Systemic Election Fraud:
Election.. 1988 1992 1996 2000 2004 2008 Average
Democrat.. 45.7 43.0 49.3 48.4 48.3 52.9 47.9
Republican 53.4 37.4 40.7 47.9 50.7 45.6 46.0
Unadjusted Aggregate State Exit Polls (weighted by voting population)
Democrat.. 50.3 47.6 52.6 50.8 51.1 58.0 51.7
Republican 48.7 31.7 37.1 44.4 47.5 40.3 41.6
Unadjusted National Exit Poll
Democrat.. 49.8 46.3 52.6 48.5 51.7 61.0 51.7
Republican 49.2 33.5 37.1 46.3 47.0 37.2 41.7
1988-2008 Red-shift Summary (274 exit polls)
The following table lists the
a) Number of states in which the exit poll red-shifted to the Republican,
b) Number of states which red-shifted beyond the margin of error,
c) Probability of n states red-shifting beyond the MoE,
d) Democratic unadjusted aggregate state exit poll share,
e) Democratic recorded share,
f) Difference between Democratic exit poll and recorded share.
Year RS.. n>MoE Probability..Exit Rec'd Diff
1988 21.. 12... 2.5E-12..... 50.3 45.7 4.6 Dukakis may have won
1992 45.. 27... 1.1E-26..... 47.6 43.0 4.6 Clinton landslide
1996 44.. 19... 2.5E-15..... 52.6 49.3 3.3 Clinton landslide
2000 34.. 17... 4.9E-13..... 50.8 48.4 2.4 Gore win stolen
2004 42.. 23... 3.5E-20..... 51.1 48.3 2.8 Kerry landslide stolen
2008 46.. 37... 2.4E-39..... 58.0 52.9 5.1 Obama landslide denied
Total 232 135… 3.7E-116….. 51.7 47.9 3.8
* 274 exit polls (24 in 1988, 50 in each of the 1992-2008 elections)
The Election Fraud Quiz II
Sept. 23, 2013
1 The exit poll margin of error is not a function of
a) sample-size, b) 2-party poll share, c) national population size
2 In the 1988-2008 presidential elections, the Democrats won the recorded vote 48-46%. They won both the average unadjusted state and national exit polls by
a) 50-46%, b) 51-45%, c) 52-41%
3 In 2004 the percentage of living Bush 2000 voters required to match the recorded vote was
a) 96%, b) 98%, c) 110%
4 In 2000 the approximate number of uncounted votes was
a) 2, b) 4, c) 6 million
5 In 2008, Obama won by 52.9-45.6%. He led the unadjusted National Exit Poll (17,836 respondents) by
a) 53-45%, b) 58-40%, c) 61-37%
6 In 1988 Bush beat Dukakis by 7 million votes (53.4-45.6%). Dukakis won the National Exit Poll by
a) 49.9-49.1%, b) 50.7-48.3%, c) 51.0-48.0%
7 In 1988 the approximate number of uncounted votes was
a) 6, b) 9, c) 11 million
8 Of 274 state exit polls from 1988-2008, 135 exceeded the margin of error (14 expected). How many moved in favor of the GOP?
a) 85, b) 105, c) 131
9 Gore won the popular vote in 2000. In 2004, returning Nader voters were 5-1 for Kerry, new voters 3-2 for Kerry. In order for Bush to win, he must have won
a) 30% of returning Gore voters, b) 90% of returning Bush voters, c) both (a) and (b).
10 In 2008 Obama won 58% of the state exit poll aggregate. Given it was his True Vote, he had how many Electoral Votes?
a) 365, b) 395, c) 420
11 What is the probability that 131 of 274 state exit polls from 1988-2008 would red-shift to the GOP beyond the margin of error?
a) 1 in 1 million, b) 1 in 1 trillion, c) 1 in 1 trillion trillion trillion trillion trillion trillion trillion trillion trillion (E-116)
12 In 2000 12 states flipped from Gore in the exit polls to Bush in the recorded vote. Gore would have won the election if he had won
a) 1, b) 2, c) 3 of the 12 states
13 In 1988 24 states had exit polls (2/3 of the total recorded vote). Dukakis won the state polls by
a) 50-49%, b) 51-48%, c) 52-47%
14 Exit polls are always adjusted to conform to the recorded vote. It is standard operating procedure and
a) reported by the corporate media, b) noted by academia, c) statistical proof of election fraud
15 Bush had 50.5 million votes in 2000. Approximately 2.5 million died and 1 million did not return to vote in 2004. Therefore, there could not have been more than 47 million returning Bush 2000 voters. But the 2004 National Exit Poll indicated 52.6 million returning Bush voters. This is proof that
a) Bush stole the 2004 election, b) it was a clerical error, c) 6 million Bush votes were not recorded in 2000.
16 In 2000 Gore won the popular vote by 540,000 votes (48.4-47.9%). He won the unadjusted state exit poll aggregate by 50.8-44.4% and the unadjusted National Exit Poll by 48.5-46.3%, indicating that
a) the state exit poll aggregate was outside the margin of error, b) the National poll was within the margin of error, c) the election was stolen, d) all
17 Corporate media websites show that Bush won the 2004 National Exit Poll (13660 respondents) by 51-48%, matching the recorded vote. But the unadjusted National Exit Poll indicates that Kerry won by 51.0-47.6% (7064-6414 respondents). The discrepancy is proof that
a) the poll was adjusted to match the recorded vote, b) Bush stole the election, c) both, d) neither
18 The pervasive difference between the exit polls and the recorded vote in every election is due to
a) inexperienced pollsters, b) Republican reluctance to be polled, c) systemic election fraud
19 In 1992 Clinton defeated Bush by 43-37.5% (Perot had 19.5%). Clinton won the unadjusted National exit poll by 48-32-20%. Bush needed 119% turnout of returning 1988 Bush voters to match the recorded vote. These anomalies were due to
a) bad polling, b) Bush voters refused to be polled, c) Bush tried but failed to steal the election.
20 Sensitivity analysis is a useful tool for gauging the effects of
a) various turnout assumptions, b) various vote share assumptions, c) both, d) neither
21 Monte Carlo simulation is a useful tool for
a) predicting the recorded vote, b) electoral vote, c) probability of winning the electoral vote.
22 The expected electoral vote is based on
a) state win probabilities, b) state electoral votes, c) both, d) neither
23 To match the recorded vote, which exit poll crosstab weights and shares are adjusted?
a) when decided, b) how voted in prior election, c) party ID, d) gender, e) education, f) income, g) all
24 In 2004 Bush’s final pre-election approval rating was 48%, but it was 53% in the adjusted National Exit Poll. The discrepancy was due to
a) late change in approval, b) different polls, c) forcing the exit poll to match the recorded vote
25 The True Vote Model is designed to calculate the fraud-free vote. The TVM utilizes final exit poll shares but estimates returning voters based on the prior election
a) recorded vote, b) votes cast, c) unadjusted exit poll, d) true vote, e) all
1c 2c 3c 4c 5c 6a 7c 8c 9c 10c 11c 12a 13c 14c 15a 16c 17c 18c 19c 20c 21c 22c 23g 24c 25e
Historical Overview and Analysis of Election Fraud
In the 1968-2012 Presidential elections, the Republicans won the average recorded vote by 48.7-45.8%. The 1968-2012 National True Vote Model (TVM) indicates the Democrats won the True Vote by 49.6-45.0% – a 7.5% margin discrepancy.
In the 1988-2008 elections, the Democrats won the unadjusted state exit poll aggregate by 52-42%, yet won the recorded vote by just 48-46%, an 8% margin discrepancy.
The state exit poll margin of error was exceeded in 135 of 274 state presidential elections from 1988-2008. The probability of the occurrence is ZERO. Only 14 (5%) would be expected to exceed the MoE at the 95% confidence level. Of the 135 which exceeded the MoE, 131 red-shifted to the Republican. The probability P of that anomaly is ABSOLUTE ZERO (E-116). That is scientific notation for
P= .000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 0000001.
I have written two books on election fraud which prove that the official recorded vote has deviated from the True Vote in every election since 1968 – always favoring the Republicans. Voting machine “glitches” are not due to machine failures; they are caused by malicious programming.
The proof is in the 1988-2008 Unadjusted State Exit Polls Statistical Reference. Not one political scientist, pollster, statistician, mathematician or media pundit has ever rebutted the data or the calculation itself. They have chosen not to discuss the topic. And who can blame them? Job security is everything.
Election forecasters, academics, political scientists and main stream media pundits never discuss or analyze the statistical evidence that proves election fraud is systemic – beyond a reasonable doubt. This site contains a compilation of presidential, congressional and senate election analyses based on pre-election polls, unadjusted exit polls and associated True Vote Models. Those who never discuss or analyze Election Fraud should focus on the factual statistical data and run the models. If anyone wants to refute the analytic evidence, they are encouraged to do so in a response. Election forecasters, academics and political scientists are welcome to peer review the content.
The bedrock of the evidence derives from this undisputed fact: National and state actual exit poll results are always adjusted in order to force a match to the recorded vote – even if doing so requires an impossible turnout of prior election voters and implausible vote shares.
All demographic categories are adjusted to conform to the recorded vote. To use these forced final exit polls as the basis for election research is unscientific and irresponsible. The research is based on the bogus premise that the recorded vote is sacrosanct and represents how people actually voted. Nothing can be further from the truth.
It is often stated that exit polls were very accurate in elections prior to 2004 but have deviated sharply from the recorded vote since. That is a misconception. UNADJUSTED exit polls have ALWAYS been accurate; they closely matched the True Vote Model in the 1988-2008 presidential elections. The adjusted, published exit polls have always matched the fraudulent RECORDED vote because they have been forced to. That’s why they APPEAR to have been accurate.
The Census Bureau indicates that since 1968 approximately 80 million more votes were cast than recorded. And these were just the uncounted votes. What about the votes switched on unverifiable voting machines and central tabulators? But vote miscounts are only part of the story. The True Vote analysis does not include the millions of potential voters who were illegally disenfranchised and never got to vote.
In 1988, Bush defeated Dukakis by 7 million recorded votes. But approximately 11 million ballots (75% Democratic) were uncounted. Dukakis won the unadjusted exit polls in 24 battleground states by 51-47% and the unadjusted National Exit Poll by 50-49%. The Collier brothers classic book Votescam provided evidence that the voting machines were rigged for Bush.
In 1992, Clinton defeated Bush by 5.8 million recorded votes (43.0-37.5%). Approximately 9 million were uncounted. The National Exit Poll was forced to match the recorded vote with an impossible 119% turnout of living 1988 Bush voters in 1992. The unadjusted state exit polls had Clinton winning a 16 million vote landslide (47.6-31.7%). The True Vote Model indicates that he won by 51-30% with 19% voting for third party candidate Ross Perot.
In 1996, Clinton defeated Dole by 8.6 million recorded votes (49.3-40.7%); 9 million were uncounted. The unadjusted state exit polls (70,000 respondents) had Clinton winning a 16 million vote landslide (52.6-37.1%). The True Vote Model indicates that he had 53.6%.
In 2000, Al Gore won by 540,000 recorded votes (48.4-47.9%). But the unadjusted state exit polls (58,000 respondents) indicated that he won by 50.8-44.4%, a 6 million vote margin. There were nearly 6 million uncounted votes. The True Vote Model had Gore by 51.5-44.7%. The Supreme Court awarded the election to Bush (271-267 EV). In Florida, 185,000 ballots were uncounted. Twelve states flipped from Gore in the exit poll to Bush in the recorded vote: AL AR AZ CO FL GA MO NC NV TN TX VA. Gore would have won the election if he captured just one of the states. Democracy died in 2000.
In July 2004 I began posting weekly Election Model projections based on the state and national polls. The model was the first to use Monte Carlo Simulation and sensitivity analysis to calculate the probability of winning the electoral vote. The final projection had Kerry winning 337 electoral votes with 51.8% of the two-party vote, closely matching the unadjusted exit polls.
The adjusted 2004 National Exit Poll was mathematically impossible; it was forced to match Kerry’s 48.3% recorded vote (the unadjusted NEP indicated that Kerry had 51.7%). The adjusted poll indicated that there were 52.6 million returning Bush 2000 voters (43% of the 122.3 million recorded). But Bush had just 50.5 million votes in 2000; only 48 million were alive in 2004. Assuming a 96% turnout, 46 million voted. Therefore, simple arithmetic shows that the adjusted NEP overstated the number of returning Bush voters by 6.6 (52.6-46) million. In order to match the recorded vote, there had to be an impossible 110% turnout of living Bush 2000 voters.
THE ULTIMATE PROOF THAT THE ELECTION WAS STOLEN IS CONFIRMED BY A) KERRY’S 4 MILLION NEW VOTER MARGIN (22 MILLION NEW VOTERS, NEARLY 60% FOR KERRY), B) 4 MILLION RETURNING GORE MARGIN AND C) 2 MILLION RETURNING NADER MARGIN. KERRY WON BY 10 MILLION VOTES.
The post-election True Vote Model calculated a feasible turnout of living 2000 voters based on Census total votes cast (recorded plus net uncounted), a 1.25% annual mortality rate and 98% Gore/Bush voter turnout. It determined that Kerry won by 67-57 million and had 379 EV. Kerry’s unadjusted state exit poll aggregate 51.0% share was close to his 51.7% unadjusted National Exit Poll share. He had 53.5% in the True Vote Model. There was further confirmation of a Kerry landslide.
Consider the adjustments made to the 2004 National Exit Poll crosstabs to force a match to the recorded vote.
Bush had a 48% national approval rating in the final 11 pre-election polls. The Final adjusted National Exit Poll was forced to indicate that he had a 53% approval rating. He had just a 50% rating in the unadjusted state exit poll weighted aggregate. Given the 3% differential, we can assume that the 48% pre-election approval rating was also inflated by 3% and was really 45% – a virtual match to the True Vote Model. The exit pollsters had to inflate Bush’s 48% pre-election average rating by 5% in the NEP in order to match the recorded vote. There was a 0.99 correlation ratio between Bush‘s state approval and his unadjusted exit poll share.
Similarly, the unadjusted state exit poll Democratic/Republican Party ID split was 38.8-35.1%. In order to force the National Exit Poll to match the recorded vote, it required a bogus 37-37% split. The correlation between state Republican Party ID and the Bush unadjusted shares was a near-perfect 0.93. This chart displays the state unadjusted Bush exit poll share, approval ratings and Party-ID.
The Final 2006 National Exit Poll indicated that the Democrats had a 52-46% vote share. The Generic Poll Trend Forecasting Model projected that the Democrats would capture 56.43% of the vote. It was within 0.06% of the unadjusted exit poll.
In the 2008 Primaries, Obama did significantly better than his recorded vote.
The 2008 Election Model projection exactly matched Obama’s 365 electoral votes and was within 0.2% of his 52.9% share (a 9.5 million margin). But the model understated his True Vote. The forecast was based on final likely voter (LV) polls that had Obama leading by 7%. The registered voter (RV) polls had him up by 13% – before undecided voter allocation. The landslide was denied.
The Final 2008 National Exit Poll was forced to match the recorded vote by indicating an impossible 103% turnout of living Bush 2004 voters and 12 million more returning Bush than Kerry voters. Given Kerry’s 5% unadjusted 2004 exit poll and 8% True Vote margin, one would expect 7 million more returning Kerry than Bush voters – a 19 million discrepancy from the Final 2008 NEP. Another anomaly: The Final 2008 NEP indicated there were 5 million returning third party voters – but only 1.2 million were recorded in 2004. Either the 2008 NEP or the 2004 recorded third-party vote share (or both) was wrong. The True Vote Model determined that Obama won by over 22 million votes with 420 EV. His 58% share was within 0.1% of the unadjusted state exit poll aggregate (83,000 respondents).
In the 2010 Midterms the statistical evidence indicates that many elections for House, Senate, and Governor, were stolen. The Wisconsin True Vote Model contains worksheets for Supreme Court and Recall elections. A serious analyst can run them and see why it is likely that they were stolen.
In 2012, Obama won the recorded vote by 51.0-47.2% (5.0 million vote margin) and once again overcame the built-in 5% fraud factor. The 2012 Presidential True Vote and Election Fraud Simulation Model exactly forecast Obama’s 332 electoral vote based on the state pre-election polls. The built-in True Vote Model projected that Obama would win by 56-42% with 391 electoral votes. But just 31 states were exit polled, therefore a comparison between the True Vote Model and the (still unreleased) state and national unadjusted exit polls (i.e. the red-shift) is not possible. Obama won the 11.7 million Late votes recorded after Election Day by 58-38%. In 2008, he won the 10.2 million late votes by 59-37%. The slight 2% margin difference is a powerful indicator that if a full set of 2012 unajusted state and national exit polls were available, they would most likely show that Obama had 55-56% True Vote share.
Election Model Forecast; Post-election True Vote Model
US Count Votes National Election Data Archive Project
Analysis of the 2004 Presidential Election Exit Poll Discrepancies
2004 True Vote Model
Kerry 51.8%, 337 EV (snapshot)
State exit poll aggregate: 51.7%, 337 EV
Recorded Vote: 48.3%, 255 EV
True Vote Model: 53.6%, 364 EV
2008 Election Model
Obama 53.1%, 365.3 EV (simulation mean)
Recorded: 52.9%, 365EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV
2012 Forecast and True Vote Model
Obama 51.6%, 332 EV (Snapshot)
Recorded : 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV
The 2004-2008 County Presidential True Vote Database Model
March 23, 2012
The 2004-2008 County True Vote Database Model has been restructured. Just enter the state code in cell A2 of the new “Input” sheet.
The objective of the model is to determine the most fraudulent counties in 2008. No model is perfect, but the TVM provides a good estimate of election fraud as measured by vote share and vote count discrepancies in margin from the recorded vote.
The following states are currently in the database. More states will be added:
AZ CA CO FL GA IA IL IN MA MI MO NC NM NV NY OH OR PA TN TX WI
In 2004, Kerry lost the national recorded vote by 50.7-48.3%. He had 51.1% in the unadjusted state exit polls (76,000 respondents) and 51.7% in the unadjusted National Exit Poll (a subset with 13,660 respondents). The True Vote Model sensitivity analysis provides convincing evidence that Kerry won the election easily.
In 2008, Obama won the national recorded vote by a 52.9-45.6% margin. He had a 58% share in the unadjusted state exit polls (83,000 respondents) and a whopping 61% in the unadjusted National Exit Poll (a subset with 17,836 respondents).
The key stats are shown in the “Input” sheet. These include the state True Vote table and discrepancies between Obama’s True county vote margin and the recorded margin. Calculation details are displayed in the “Model” sheet.
The 2008 Election Model projection exactly matched Obama’s 365 electoral votes and was within 0.2% of his 52.9% share (a 9.5 million margin).
But the model understated his True Vote. The forecast was based on final likely voter (LV) polls that had Obama leading by 7%. The registered voter (RV) polls had him up by 13% – before undecided voter allocation. The landslide was denied.
The Final 2008 National Exit Poll was forced to match the recorded vote by indicating an impossible 103% turnout of living Bush 2004 voters and 12 million more returning Bush than Kerry voters. Given Kerry’s 5% unadjusted 2004 exit poll and 8% True Vote margin, one would expect 7 million more returning Kerry than Bush voters – a 19 million discrepancy from the Final 2008 NEP. Another anomaly: The Final 2008 NEP indicated there were 5 million returning third party voters – but only 1.2 million were recorded in 2004. Either the 2008 NEP or the 2004 recorded third-party vote share (or both) was wrong.
The True Vote Model determined that Obama won by over 22 million votes with 420 EV. His 58% share was within 0.1% of the unadjusted state exit poll aggregate (83,000 respondents).
True Vote margins are calculated based on the returning voter method: The default method is that 2004 voters return to vote in 2008 in proportion to the 2004 state exit poll shares. Optionally, set code 1 in cell A5 to calculate returning voters in proportion to the 2004 recorded vote shares.
If the recorded vote option is used, county vote discrepancies will be lower than they would be if the default method was used. But since the 2004 recorded votes were fraudulent, unadjuted 2004 exit polls (the default) should be used to calculate returning voters to provide a better estimate of the true discrepancy.
The model automatically adjusts state and county vote shares based on the differential between the unadjusted state and national exit polls.
The user has the option of overriding the returning voter mix as well as the vote shares. Enter incremental percentage changes to a) Kerry’s returning vote counts (an automatic offsetting change is made to Bush’s vote count) and b) to Obama’s shares of new and returning voters (an automatic offsetting change is made to McCain’s vote shares.
Default 2004 living voter turnout in 2008 is set to 97%.
The model indicates that the following counties were the most fraudulent:
Obama recorded share: 56.2%, Exit Poll: 63.3%, True Vote Model: 58.8%
Obama recorded share: 51.4%, Exit Poll: 56.3%, True Vote Model: 56.2%
Obama recorded share: 50.9%, Exit Poll: 52.1%, True Vote Model: 54.7%
Palm Beach, Miami-Dade, Broward, Brevard, Hillsborough
Obama recorded share: 62.8%, Exit Poll: 71.5%, True Vote Model: 68.3%
Nassau, Suffolk, Erie, Queens, Westchester
Obama recorded share: 54.5%, Exit Poll: 63.8%, True Vote Model: 62.0%
Philadelphia, Allegheny, Bucks, Westmoreland, Montgomery, Delaware
The correlation ratio is a statistical measure of the relationship between Obama’s recorded vote share and the True Vote discrepancy. In general, there is a strong negative correlation between the two variables. This indicates that as Obama’s recorded county vote share increases (decreases) the discrepancy decreases (increases). This is an indication that GOP counties are the most fraudulent (measured by vote share margin discrepancy).
The correlation ratio is in the range from -1 to +1 (-1 is a perfectly negative correlation and +1 is perfectly positive). A near zero correlation indicates little or no relationship. A positive value indicates that the variables generally move in the same direction: as one variable increases (decreases), the other also increases (decreases). A negative value indicates the opposite: as one variable increases (decreases) the other decreases (increases). The correlation is a strong one if it is higher than 0.50 (positive) or lower than -0.50 (negative).
For example, in Ohio 2004 the -0.82 correlation indicated that Bush counties were more fraudulent than Kerry counties (based on vote share margin discrepancies). In 2008, the -0.50 correlation was not as strong but still significant.
North Carolina was an unusual exception. In 2004 there was a near-zero (-.01) correlation, indicating no relationship between county partisanship and election fraud. But in 2008, the strong negative (-0.72) correlation indicates that election fraud was more prevalent in GOP than Democratic counties.
County Correlation Ratios between the Democratic Recorded Vote and
the True Vote Share Margin Discrepancy
State 2004 2008
NC -0.01 -0.72
WI -0.70 -0.50
OH -0.82 -0.50
NY -0.62 -0.45
FL -0.43 -0.79