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Election Fraud: An Introduction to Exit Poll Probability Analysis

Richard Charnin
June 23, 2012
Updated: Aug.22,2013

In any statistical study, the best data must first be collected. The following election fraud analysis is based on the 1988-2008 Unadjusted State and National Exit Poll Spreadsheet Database.

The data source is the Roper Center Public Opinion Archives. Exit polls are available for 274 state presidential elections, 50 in each of the 1992-2008 elections and 24 in 1988. This graph summarizes the discrepancies between the 1988-2008 State Exit Polls vs. the corresponding Recorded Votes

Exit polls are surveys conducted in selected voting precincts that are chosen to represent the overall state voting population demographic. Voters are randomly selected as they leave the precinct polling booth and asked to complete a survey form indicating 1) who they just voted for, 2) how they voted in the previous election, 3) income range, 4) age group, 5) party-id (Democrat, Republican, Independent), 6) philosophy (liberal, moderate, conservative), and many other questions.

US Count Votes did a comprehensive analysis of the 2004 exit poll discrepancies which disproved the exit pollster’s reluctant Bush responder hypothesis.

In this analysis we consider the most important question: who did you vote for? Having this information, we calculate the discrepancy between the state exit poll and the recorded vote count. Note that respondents are not asked to provide personal information. There is no excuse for not releasing exit poll/voting results for each of the 1400+ exit poll precincts. There is no privacy issue.

Key results

- Republican presidential vote shares exceeded the corresponding unadjusted exit poll shares in 232 of the 274 state elections for which there is exit poll data. The probability that 232 would red-shift to the Republicans is ZERO. One would normally expect that approximately 137 would shift to the Republicanss.

- Of the 274, there were 55 state elections in which Republicans won the vote and the Democrats won the exit poll. Conversely, the Republicans lost only two elections (Iowa and Minnesota in 2000) in which they won the exit poll. The probability of this occurrence is virtually ZERO. If the elections were fair, the number of flips would be nearly equal.

- The exit poll margin of error (described below) was exceeded in 135 of the 274 polls. The probability is ZERO. The statistical expectation is that the margin of error (MoE) would be exceeded in 14 polls (5%).

- 131 of the 135 exit polls in which the MoE was exceeded moved to the recorded vote in favor of the Republican (“red shift”). There is a ZERO probability that the one-sided shift was due to chance. It is powerful evidence beyond any doubt of pervasive systemic election fraud.

The Ultimate Smoking Gun that proves Systemic Election Fraud:

Basic Statistics and the True Vote Model
The True Vote Model (TVM) is based on current and previous election votes cast (Census), voter mortality and returning voter turnout. Published National Exit Poll (NEP) vote shares were applied to new and returning voters. The TVM closely matched the corresponding unadjusted exit polls in each election. It shows that the exit poll discrepancies were primarily due to implausible and/or impossible adjustments required to force the NEP to match the recorded vote. The exit polls were forced to match the recorded votes by adjusting the implied number of returning voters from the previous election. These adjustments are clearly indicated by the percentage mix of returning voters in the current election..

The bedrock of statistical polling analysis is the Law of Large Numbers. As the number of observations in a survey increases, the average will approach the theoretical mean value. For instance, in coin flipping, as the number of flips increase, the average percentage of heads will approach the theoretical 50% mean value.

The Normal distribution is considered the most prominent probability distribution in statistics (“the bell curve”). It is used throughout statistics, natural sciences, and social sciences as a simple model for complex phenomena. For example, the observational error in an election polling is usually assumed to follow a normal distribution, and uncertainty is computed using this assumption. Note that a normally-distributed variable has a symmetric distribution about its mean.

The Binomial distribution distribution calculates the probability P that a given number of events (successes) would occur in n trials given that each trial has a constant probability p of success. For instance, the probability of flipping heads (a success) is 50%. In a fair election, the probability that the exit poll would flip from the Democrat to the Republican is also 50%.

The Poisson distribution calculates the probability of a series of events in which each event has a very low probability. For instance, there is a 5% (1 in 20) probability that the recorded vote share will differ from the exit poll beyond the MoE.

The Binomial distribution converges towards the Poisson as the number of trials (n) approaches infinity while the product (np) remains fixed (p is the probability). Therefore the Poisson distribution with parameter λ = np can be used as an approximation to the Binomial distribution B(n,p) if n is sufficiently large and p sufficiently small.

The exit poll margin of error is based on the number of respondents and the “cluster effect” (assumed as 0.30). The Margin of Error Calculator illustrates the effects of sample size and poll share on the margin of error and corresponding win probability.

Impossible 2004 National Exit Poll

This is how the 2004 National Exit Poll was forced to match the recorded vote. Kerry won the state exit poll aggregate (76,000 respondents) by 51.1-47.5% (3.6% margin). The 2004 National Exit Poll (NEP) is a subset of the state polls. The unadjusted NEP showed that Kerry won by a 4.8% margin. But the NEP was adjusted to match the recorded vote with nearly 6 million more returning Bush 2000 voters than were alive in 2004. Bush had 50.5 million recorded votes in 2000. Approximately 2.5 million died, so at most there were 48 million returning Bush voters. But not all returned to vote.

Assuming 98% of living Bush 2000 voters turned out in 2004, then there were 47 million returning Bush voters or 38.4% of the 122.3 million who voted. But according to the adjusted NEP, there were 52.6 million returning Bush voters (43% of the voters). There is a major disconnect here; we have just shown that there were approximately 47 million.

So where did the 5.6 (52.6-47) million Bush voters come from? The bottom line: In order to adjust the National Exit Poll to conform to the recorded vote, there had to be 5.6 million phantom Bush voters. Therefore since the adjusted exit poll was impossible, so was the recorded vote.

UNADJUSTED 2004 NATIONAL EXIT POLL (13660 RESPONDENTS)
13660.. Kerry Bush...Other
Sample 7,064 6,414 182
Share 51.71% 46.95% 1.33%

UNADJUSTED 2004 NATIONAL EXIT POLL (12:22am vote shares)
(returning voters based on 2000 recorded vote)
2000 Turnout Mix Kerry Bush Other

DNV. 23.1 18.4% 57% 41% 2%
Gore 48.2 38.4% 91% 8% 1%
Bush 49.7 39.5% 10% 90% 0%
Other 4.7 3.70% 64% 17% 19%
Share 125.7 100% 51.75% 46.79% 1.46%
Votes 125.7 100% 65.07 58.83 1.84

2004 TRUE VOTE MODEL (12:22am vote shares)
(returning voters based on 2000 True Vote)
2000 Turnout Mix Kerry Bush Other

DNV. 22.4 17.8% 57% 41% 2%
Gore 52.0 41.4% 91% 8% 1%
Bush 47.4 37.7% 10% 90% 0%
Other 3.9 3.10% 64% 17% 19%
Share 125.7 100% 53.57% 45.07% 1.36%
Votes 125.7 100% 67.36 56.67 1.71

ADJUSTED 2004 NATIONAL EXIT POLL (final adjusted vote shares)
(impossible 110% Bush 2000 voter turnout; forced to match recorded vote)
2000 Turnout Mix Kerry Bush Other Alive Turnout

DNV. 20.8 17.0% 54% 44% 2% - -
Gore 45.2 37.0% 90% 10% 0% 48.4 93%
Bush 52.6 43.0% 9% 91% 0% 47.9 110% (impossible 2000 voter turnout)
Other 3.7 3.00% 64% 14% 22% 3,798 97%
Share 122.3 100% 48.27% 50.73% 1.00%
Votes 122.3 100% 59.0 62.0 1.2

Ohio 2004 presidential election
Bush won the recorded vote by 50.8-48.7% (119,000 vote margin). In the exit poll, 2020 voters were sampled, of whom 1092 voted for Kerry (54.1%) and 924 for Bush (45.7%). There was a 10.6% discrepancy in margin between the poll and the vote. Given the exit poll result, we can calculate the probability that a) Kerry won the election and b) of Bush getting his recorded vote share.

The Ohio exit poll MoE was 2.8% which means there is a 95.4% probability that Kerry’s True Vote was within 2.8% of his exit poll share (between 51.3% and 56.9%) and a 97.5% probability that it was at least 51.3%. The Normal distribution calculates a 99.8% probability that Kerry won Ohio.
P = 99.8% = Normdist (.541,.500,.028/1.96, true)

Bush won Ohio with a 50.8% recorded share – a 5.1% increase (red-shift) over his 45.7% exit poll share. The probability that the 5.1% shift was due to chance is 1 in 4852 (.02%). So which most closely represented how the True Vote: the exit poll or the recorded vote?

1988 presidential election
Just 24 state exit polls are listed for 1988 on the Roper Center site, which comprised 68.7 million (75%) of the 91.6 million national recorded votes. Dukakis led the 24-poll aggregate by 51.6-47.3%. Bush won the corresponding recorded vote by 52.3-46.8%, a 9.8% discrepancy. The exit poll MoE was exceeded in 11 of the 24 states – all in favor of Bush (see the summary statistics below).

Dukakis won the unadjusted National Exit Poll by 49.8-49.2%, but Bush won the recorded vote by 53.4-45.6%, a 7 million vote margin. According to the Census, 102.2 million votes were cast and 91.6 million recorded, therefore a minimum of 10.6 million ballots were uncounted. Dukakis had approximately 8 million (75%) of the uncounted votes (see below). That may be one of the reasons why Dukakis won the state and national exit polls and lost the recorded vote.

Calculating the probabilities
Given the state recorded vote, exit poll and margin of error for each of 274 elections, we can calculate the probability of the red shift.

The probability P that 55 of 57 exit polls would flip from the Democrats leading in the exit polls to the Republicans winning the recorded vote is given by the Binomial distribution: P= 1-Binomdist(54,57,.5,true)
P= 1.13E-14 = 0.000000000000011 or 1 in 88 trillion!

The probability that the exit poll margin of error would be exceeded in any given state is 5% or 1 in 20. Therefore, approximately 14 of the 274 exit polls would be expected to exceed the margin of error, 7 for the Republican and 7 for the Democrat. The Republicans did better in the recorded vote than in the exit polls in 232 of the 274 elections. The probability of this one-sided red-shift is ZERO.

The MoE was exceeded in 131 exit polls in favor of the Republicans. The Poisson spreadsheet function calculates the probability:
P = E-116 = Poisson (131, .025*274, false)
The probability is ZERO. There are 115 zeros to the right of the decimal!

Sensitivity Analysis
Sensitivity analysis is an important tool for viewing the effects of alternative assumptions on key results from a mathematical model.

In pre-election polls, the margin of error (MoE) is based strictly on the number of respondents. In exit polls, however, a "cluster factor" is added to the calculated MoE. Therefore, the number of states in which the MoE was exceeded in 1988-2008 (and the corresponding probabilities) is a function of the cluster effect.

The MoE was exceeded in 135 of 274 exit polls assuming a 30% "cluster factor" (the base case). Although 30% is the most common estimate, political scientists and statisticians may differ on the appropriate cluster factor to be used in a given exit poll. Therefore, a sensitivity analysis worksheet of various cluster factor assumptions (ranging from 0% to 200%) is displayed in the 1988-2008 Unadjusted Exit Poll Spreadsheet Reference. The purpose is to determine the number of exit polls in which the MoE was exceeded over a range of cluster factors. Even with extremely conservative cluster factor assumptions, the sensitivity analysis indicates a ZERO probability that the margin of error would be exceeded in the six elections. Were the massive discrepancies due to inferior polling by the most experienced mainstream media exit pollsters in the world? Or are they further mathematical confirmation of systemic election fraud - beyond any doubt?

Overwhelming Evidence
The one-sided results of the 375,000 state exit poll respondents over the last six presidential elections leads to only one conclusion: the massive exit poll discrepancies cannot be due to faulty polling and is overwhelming evidence that systemic election fraud has favored the Republicans in every election since 1988.

Fraud certainly cost the Democrats at least two elections (2000, 2004) and likely a third (1988). And in the three elections they won, their margin was reduced significantly by election fraud.

To those who say that quoting these impossible probabilities invites derision, that it is overkill, my response is simply this: those are the actual results that the mathematical functions produced based on public data. The mathematical probabilities need to be an integral part of any election discussion or debate and need to be addressed by media pundits and academics.

Media polling pollsters, pundits and academics need to do a comparable scientific analysis of historical exit polls and create their own True Vote models. So-called independent journalists need to discuss the devil in the details of systemic election fraud. They can start by trying to debunk the analysis presented here.

Presidential Summary

Election.. 1988 1992 1996 2000 2004 2008 Average
Recorded Vote
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 >MoE Probability.... Exit Vote 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 Democrats led the 1988-2008 vote shares as measured by:
1) Recorded vote: 47.9-45.9%
2) Exit Pollster (WPE/IMS): 50.8-43.1%
3) Unadjusted State Exit Polls: 51.7-41.6%
4) Unadjusted National Exit Poll: 51.6-41.7%

True Vote Model (method based on previous election returning voters)
5) Method 1: 50.2-43.4% (recorded vote)
6) Method 2: 51.6-42.0% (allocation of uncounted votes)
7) Method 3: 52.5-41.1% (unadjusted exit poll)
8) Method 4: 53.0-40.6% (recursive True Vote)

The Democrats won the exit poll but lost the recorded vote in the following states. The corresponding decline in electoral votes cost the Democrats to lose the 1988, 2000, 2004 elections:

1988 (7): CA IL MD MI NM PA VT
Dukakis' electoral vote was reduced from 271 in the exit polls to 112 in the recorded vote. The U.S. Vote Census indicated that there were 10.6 million net uncounted votes in 1988. Since only 24 states were exit polled, a proxy equivalent was estimated for each of the other 26 states by allocating 75% of the uncounted votes to Dukakis. The average 3.47% MoE of the 24 exit polls was assumed for each of the 26 states. Four of the 26 flipped to Bush: CO LA MT SD.

The rationale for deriving the estimate is Method 2 of the 1988-2008 True Vote Model in which 75% of uncounted votes were allocated to the Democrat. The resulting 51.6% average Democratic share (see above) exactly matched the unadjusted exit polls (TVM #3). This article by Bob Fitrakis provides evidence that uncounted votes are heavily Democratic.

1992 (10): AK AL AZ FL IN MS NC OK TX VA
Clinton's EV flipped from from 501 to 370.

1996 (11): AL CO GA IN MS MT NC ND SC SD VA
Clinton's EV flipped from 464 to 379.

2000 (12): AL AR AZ CO FL GA MO NC NV TN TX VA (Gore needed just ONE to win)
Gore's EV flipped from 382 to 267.

2004 (8): CO FL IA MO NM NV OH VA (Kerry would have won if he carried FL or OH)
Kerry's EV flipped from 349 to 252.

2008 (7): AL AK AZ GA MO MT NE
Obama's EV flipped from 419 to 365.

Take the Election Fraud Quiz.

Election Model Forecast; Post-election True Vote Model

This is a summary of 2004-2012 pre-election projections and corresponding recorded votes, exit polls and True Vote Models.

2004 Election Model
Kerry Projected 51.8% (2-party), 337 EV (simulation mean)
State exit poll aggregate: 51.1-47.6%, 337 EV
National Exit Poll: 51.7-47.0%
Adjusted National Exit Poll (recorded vote): 48.3-50.7%, 255 EV
True Vote Model: 53.6-45.1%, 364 EV

2004 Election Model Graphs
State aggregate poll trend
Electoral vote and win probability
Electoral and popular vote
Undecided voter allocation impact on electoral vote and win probability
National poll trend
Monte Carlo Simulation
Monte Carlo Electoral Vote Histogram

2006 Midterms
Democratic Generic 120-Poll Trend Model: 56.4-41.6%
Unadjusted National Exit Poll: 56.4-41.6%
Wikipedia recorded vote: 57.7-41.8%
Adjusted Final National Exit Poll (recorded vote): 52.2-45.9%

2008 Election Model
Obama Projected: 53.1-44.9%, 365.3 expected EV; 365.8 EV (simulation mean)
State exit poll aggregate: 58.1-40.3%, 420 EV
National Exit Poll: 61.0-37.5%
Adjusted National Exit Poll (recorded vote): 52.9-45.6%, 365 EV
True Vote Model: 58.0-40.4%, 420 EV

2008 Election Model Graphs
Aggregate state polls and projections (2-party vote shares)
Undecided vote allocation effects on projected vote share and win probability
Obama's projected electoral vote and win probability
Monte Carlo Simulation Electoral Vote Histogram

2010 Midterms Overview
True Vote Model Analysis

2012 Election Model
Obama Projected: 51.6% (2-party), 332 EV snapshot; 320.7 expected; 321.6 mean
Adjusted National Exit Poll (recorded): 51.0-47.2%, 332 EV
True Vote Model 56.1%, 391 EV (snapshot); 385 EV (expected)
Unadjusted State Exit Polls: not released
Unadjusted National Exit Poll: not released

2012 Model Overview
Electoral Vote Trend
Monte Carlo Simulation Electoral Vote Frequency Distribution

 
12 Comments

Posted by on June 25, 2012 in True Vote Models

 

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Conspiracy Theories and Mathematical Probabilities

Conspiracy Theories and Mathematical Probabilities

Richard Charnin
May 25, 2012
Updated: March 24, 2014

JFK Blog Posts
JFK Calc Spreadsheet Database

It’s an interesting exercise to calculate mathematical probabilities of so-called “conspiracy theories”. The mainstream media and their cadre of online gatekeepers use the term “Conspiracy Theorist” (CT) as a derogatory label for those who seek the truth. According to the media, there are never conspiracies. But they avoid factual discussions based on the scientific evidence.

These myths are promoted non-stop in the mainstream media.
- Oswald acted alone in 1963 – with a magic bullet and defective rifle.
- Bush won Florida in 2000 and had a 3 million “mandate” in 2004.
- Nineteen Muslims armed with box cutters who could not fly a Cessna, hijacked four airliners and outfoxed the entire U.S. defense establishment – while Bin Laden was on dialysis, near death and hiding in caves.

But the media can’t refute the mathematics that proves beyond a reasonable doubt that there is a massive conspiracy to hide the truth of these events from the public.

Scientific notation is necessary to express the extremely low probabilities of the following events. For example, the probability P that at least 23 material witnesses would die unnaturally in the year following the JFK assassination is 7.3E-40 in scientific notation (less than 1 in a trillion trillion trillion).

To put the numbers in context: There are an estimated 3 billion trillion (3E23) stars in the universe. That’s 3 followed by 23 zeros: 300,000,000,000,000,000,000,000. There are an estimated 700 thousand trillion (7E17) grains of sand on earth or 7 followed by 17 zeros: 700,000,000,000,000,000.

The probability calculations are based on the Normal, Binomial and Poisson distribution functions.

The Normal Distribution (ND) is based on a sample of observations defined by the mean (average) value and standard deviation (a measure of volatility of the observations from the mean). The ND is used to calculate the probability that Kerry’s unadjusted 51.7% National Exit Poll (13660 respondents) share would deviate 3.4% from his 48.3% recorded national share.

The Binomial Distribution (BD) is used to calculate the probability P of n successes in N trials when the probability p of a success is constant in each trial. The BD is used to calculate the probability P that n= 86 of N=88 DRE voting machines would flip votes from Kerry to Bush.

The Poisson Distribution (PD) is used to calculate the probability P that a given number n of events with low probability will occur over a period of time. The PD is used to calculate the probability P that at least n JFK-related individuals out of a population of N witnesses would die unnaturally in the years following the assassination.

JFK Witness Unnatural Deaths

The probability analysis is straightforward; it’s not a theoretical exercise. It is a mathematical proof of a conspiracy based on factual data: number of witnesses, number of unnatural (murder, accident, suicide, unknown) deaths, corresponding mortality rates and the time period. The Poisson function calculates the probability. The average U.S. 1964-78 unnatural mortality rate was 0.000818. The average JFK witness mortality rate (0.000242) was lower due to the high proportion of homicides compared to suicides and accidents.

In the 1973 film Executive Action it was revealed that an actuary hired by the London Sunday Times calculated the probability that 18 material witnesses would die within three years of the assassination as 100,000 trillion to one.

This is a challenge to those who still claim that the deaths do not prove a conspiracy: To substantiate your claim, you must refute the database of witnesses, the unnatural mortality rates and the use of the Poisson formula.

This is a spreadsheet database of witnesses and probability calculations.

Convenient deaths spiked in 1964 (Warren Commission) and 1977 (House Select Committee).

Probabilities of Material Witness Deaths

Warren Commission Witnesses (1964-78):
- 15 official ruled unnatural deaths

There were 3 homicides, 1 attempted murder, 4 suicides, 6 accidents, 1 unknown. Given the 0.000295 weighted average mortality rate, the probability is
P= 5.08E-08 (1 in 20 million)

- 21 unofficial actual unnatural deaths
There were 17 homicides, 2 accidents, 1 suicide, 1 unknown. Normally, 7 unnatural deaths would be expected. Given the 0.000131 weighted rate, the probability is:
P = 3.65E-20 = POISSON (21, 1.08, false)
P = 1 in 27 million trillion

This graph shows the long-term trend in the U.S. homicide rate. Note that in 1963 the homicide rate was 5.4 per 100,000.

Deaths by Major Causes: 1960-2011 Source: U.S. National Center for Health Statistics. The average homicide rate for 1964-1978 was 8.4 per 100,000.

Officially, at least 80 of 1400 JFK-related deaths were ruled unnatural (17 were expected). The probability is based on the JFK-weighted unnatural death rate (0.000242):
P = 2.35E-65 = Poisson (80, 15*1400*0.000242, false)
P = 1 in a TRILLION TRILLION TRILLION TRILLION TRILLION.

1988-2008 Election Fraud
1. In 2004, the Election Incident Reporting System (EIRS) indicated that 86 of 88 DRE voting machines in various states flipped votes from Kerry to Bush. The probability P is calculated as:
P = 1E-23 = Binomdist (86, 88, .5, false) + Binomdist (87, 88, .5, false) + Binomdist (88, 88, .5, false)
P = 1 in 79 billion trillion

There were massive discrepancies between the average Democratic/Republican recorded vote split (48-46%) and the 274 unadjusted state and national exit polls (52-42%). The True Vote Model (TVM) was developed before the exit polls were posted on the Roper UConn website. The 53-41% TVM split confirmed the polls.

2. In 2008, the unadjusted exit polls in 36 states red-shifted beyond the margin of error (MoE) to McCain in the recorded vote.
P = 2.4E-39 = Poisson(36,.025*50,false)
P = 1 in 400 trillion trillion trillion!

3. In the 1988-2008 presidential elections, 226 (82.4%) of the 274 exit polls red-shifted to the Republican. Normally, an even split (137) would be expected. The probability is:
P = 3.7E-31 or 1 in 2.7 million trillion trillion!

4. The probability that at least 55 of 57 state elections would flip from the Democrats in the polls to the Republicans in the recorded vote is given by the Binomial distribution:
P = 1-Binomdist(54,57,.5,true)
P = 1.1E-14 = 0.000000000000011 or 1 in 88 trillion!

5. In the 1988-2008 elections, there was an 8% discrepancy between the 274 state unadjusted exit poll aggregate (52D-42R) and the recorded votes (48D-46R). There were 375,000 exit poll respondents. Assuming an extremely conservative 1.2% margin of error, the probability of the discrepancy is:
P = Normdist(.52,.48,.012/1.96,false) = 3.51E-08 or 1 in 28 million.
Assuming a plausible 0.8% MoE, the probability is P= 1.37E-19 or 1 in 7 million trillion!

6. The exit poll margin of error (MoE) was exceeded in 123 of the 274 exit polls in favor of the Republican – and just 3 for the Democrat. The probability that the MoE would be exceeded in any state is 1 in 20. Therefore, the MoE would normally be expected to be exceeded in 7 states for the Republican and 7 for the Democrat.

The Poisson function calculates the probability that the margin of error would be exceeded in 123 of 274 state exit polls in favor of the Republican:
P = 5E-106 = Poisson (123, .025*274, false)

P = .0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 000005

Microbiologist Mystery Deaths

The unnatural deaths of sixteen world-class microbiologists in the four months following 9/11 and the anthrax scare cannot be coincidental. Assuming there are 10,000 world-class microbiologists, the probability of 16 unnatural deaths in 4 months is:
P = Poisson(16,.33*.00007*10000,false)
P = E-24 or 1 in 1 trillion trillion!

9/11 Scientific Evidence vs. the Official Conspiracy Theory

To believe the official conspiracy theory (OCT) requires a belief in miracles. It requires cognitive dissonance of obvious explosive (WTC1 and WTC2) and symmetric (WTC7) destruction.

Probability calculations are not applicable as free-fall collapse is physically impossible without explosives. Ask Isaac Newton. Office fires burn at 2000 degrees below the temperatures required to melt steel. Not one steel-framed building has ever collapsed due to fires, before or since 9/11. The probability is ABSOLUTE ZERO based on historical facts and Newtonian physics.

1. NIST claims that office fires caused 3 steel-framed buildings to collapse at near free-fall – a clear refutation of Newton’s Laws of Motion.
- Free fall can only occur by an instantaneous removal of all supporting columns (i.e. a controlled demolition).
- Lateral ejection of debris can only occur from explosions – not from fires.
- Jet fuel fires burn at a much lower temperature than is required to melt steel.
- No steel-framed office buildings have ever collapsed due to fires.

2. CNN reporter Barbara Olson was a passenger on AA Flight 11 (which allegedly crashed into the Pentagon). She called husband Solicitor General Ted Olson from her cell phone and told him hijackers were armed with knives and box cutters.
- It was later disclosed that cell phones could not work at 30,000 feet.
- Olson then said that she called from a seatback phone. But according to an American Airlines spokesman, there were no seatback phones on Boeing 757 airliners.
- At the 2006 Moussaoui trial, the FBI reported there was one attempted call that lasted zero seconds (“unconnected”)from Barbara Olson to Ted Olson.

3. The BBC reported that WTC 7 collapsed at 5pm, 20 minutes before happened.
- How did the reporter know that it would collapse? Was she psychic?
- All fires burned out long before 5pm.
- Silverstein, the owner, said “pull it”.

and there is much more…

If you believe the official story (OCT), then what is your estimate of the probability of the following facts?

- William Rodriguez, a WTC janitor, would hear a loud explosion seven seconds before the plane hit, but his testimony would be ignored by the 9/11 commission.
- The NIST would fail to acknowledge free-fall until David Chandler proved it.
- The collapse of WTC 7 would occur due to structural failure of one beam.
- The 9/11 Commission would fail to mention WTC 7 or note it their Report
- For the first time in history, not one but three steel-framed buildings would collapse due to office fires.

- Airline fuel burning at 1000F would melt steel.
- April Gallop would hear an explosion next to her office at the Pentagon but not see any aircraft debris.
- NIST would not consider explosives as a possible cause of the collapses.
- NIST would admit freefall and claim it was due to office furniture fires.
- There would be traces of thermite in the lungs of first responders.

- Over 118 firefighters would imagine that they heard explosions.
- Furniture would be ejected laterally 600 feet from office fires.
- Firefighters would know that WTC 7 would collapse before it did.
- When Larry Silverstein said “pull-it” he did not mean demolish WTC 7.
- At 5pm, the BBC would report WTC7 fell, 20 minutes before it did.

- The passport of an alleged hijacker would be found in the rubble of the WTC.
- There would be no manifest record that hijackers boarded the planes.
- Put options on airline stocks would rise dramatically a few days before 9/11.
- Osama Bin Laden would not be on the FBI most wanted list for 9/11.
- 9/11 Commission heads Kean and Hamilton would disavow their own report.

- There were multiple air defense exercises conducted on 9/11.
- Officials who ignored standard response procedures would be promoted.
- Not one of the four flight recorders would be retrieved.
- There is no video, airline debris or human remains at the Pentagon.
- There is no video, debris or human remains at the Pennsylvania crash site.

- The media would not investigate these facts.

 
8 Comments

Posted by on May 26, 2012 in JFK, Uncategorized

 

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How the Final 2004 and 2008 National Exit Polls were forced to match the recorded vote

How the Final 2004 and 2008 National Exit Polls were forced to match the recorded vote

Richard Charnin

Jan. 6, 2011

This is a quick summary of the changes that were made to the unadjusted, pristine exit polls in order to force them to match the recorded vote.

1988-2008 Unadjusted State and National exit polls vs. recorded votes and National True Vote Model

https://docs.google.com/spreadsheet/pub?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc&output=html

2004
Table 1A is the unadjusted National Exit Poll (13660 respondents). Kerry had 51.7%.
Table 3A is the adjusted Final NEP Gender crosstab – forced to match the recorded vote (Kerry 47.8%).

Table 4A is the unadjusted NEP ‘Voted 2000′ crosstab (3182 respondents). Kerry had 51.7%.
Table 5A is the adjusted Final NEP ‘Voted 2000′ crosstab – forced to match the recorded vote (Kerry 48.3%).

Table 6A is the True Vote Model. Kerry had 53.3%.
Kerry had 51.1% in the unadjusted state exit poll aggregate (76192 respondents).

Based on the 3182 respondents who were asked how they voted in 2000:
1- The unadjusted 2004 NEP implies that Gore had 47.8%, Bush 48.4%, Other 3.8%.
2- The Final 2004 NEP implies that Gore had 44.6%, Bush 51.8%, Other 3.6%.

But Gore won the popular vote by 540,000 and had 50.8% in the unadjusted exit poll. Therefore, it is likely that the unadjusted 2004 exit poll understated Kerry’s True Vote share by nearly 2%.

2008
Table 3 is the unadjusted NEP (17836 respondents). Obama had 61.0%.
Table 7A is the adjusted Final NEP Gender crosstab – forced to match the recorded vote (Obama 52.7%).

Table 4 is the unadjusted NEP ‘Voted 2004′ crosstab (4178 respondents). Obama had 58.0%.
Table 12 is the adjusted Final NEP ‘Voted 2004′ crosstab – forced to match the recorded vote (Obama 52.9%).

Table 2 is the unadjusted state exit poll aggregate (82388 respondents). Obama had 58.1%.

Table 7 is the True Vote Model. Obama had 58.0%.

Based on the 4178 respondents who were asked how they voted in 2004:
1- The unadjusted 2008 NEP implies that Kerry had 50.2%, Bush 44.6%, Other 5.2%.
This is close to the unadjusted 2004 NEP (Kerry 51.7%), but the 3rd party (Other) recorded share was 1.0%, a 4.2% discrepancy from the implied share.

2- The Final 2008 NEP implies that Kerry had 42.3%, Bush 52.6%, Other 4.6%.
This is far from both the unadjusted and Final 2004 NEP (Kerry 48.3%). The discrepancy is due to the Final 2008 NEP forced match to the recorded vote.

National Exit Poll Timeline
This refutes the myth that early exit polls were biased to Kerry. He led from 4pm with 51% (8,349 respondents) to the final 13,660 (51.7%). The exit pollsters had to switch approximately 471 (6.7%) of Kerry’s 7,064 responders to Bush in order to force the Final NEP to match to the recorded vote. Given his 51.7% share of 125.7 million votes cast, Kerry won by nearly 6 million votes. But the True Vote Model indicates he had 53.6% and won by 10 million.

11/3/04 1:24pm, Final National Exit Poll, 13660 respondents
Adjusted Sample: Kerry 48% (6,557); Bush 51% (6,966)
Forced to match recorded vote by switching approximately 507 (7.2%) of Kerry’s 7,064 respondents to Bush.
http://www.richardcharnin.com/US2004G_3970_PRES04_NONE_H_Data.pdf

Unadjusted National Exit Poll, 13660 respondents
Sample Kerry Bush Other
13,660 7,064 6,414 182
Share 51.7% 47.0% 1.3%
http://webapps.ropercenter.uconn.edu/CFIDE/cf/action/catalog/abstract.cfm?label=&keyword=USMI2004-NATELEC&fromDate=&toDate=&organization=Any&type=&keywordOptions=1&start=1&id=&exclude=&excludeOptions=1&topic=Any&sortBy=DESC&archno=USMI2004-NATELEC&abstract=abstract&x=32&y=9

11/2/04 12:22am, 13047 respondents
Kerry 51%; Bush 48%
http://media.washingtonpost.com/wp-srv/politics/elections/2004/graphics/exitpolls_us_110204.gif

11/2/04 7:33pm, 11027 respondents
Kerry 51%; Bush 48%
http://www.richardcharnin.com/US2004G_3798_PRES04_NONE_H_Data.pdf

11/2/04 3:59pm, 8349 respondents
Kerry 51%; Bush 48%
http://www.richardcharnin.com/US2004G_3737_PRES04_NONE_H_Data-1.pdf

2004
Final Exit Polls
http://www.cnn.com/ELECTION/2004/pages/results/states/US/P/00/epolls.0.html

2008
Final Exit Polls
http://www.cnn.com/ELECTION/2008/results/polls/#val=USP00p1

Election Model Forecast; Post-election True Vote Model

2004 (2-party vote shares)
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
Model: Obama 53.1%, 365.3 EV (simulation mean)
Recorded: 52.9%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 (2-party state exit poll aggregate shares)
Model: Obama 51.6%, 332 EV (Snapshot)
Recorded: 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

 
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Posted by on January 7, 2012 in 2004 Election, 2008 Election

 

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The Oregon Voting System: Statistical Evidence that it Works

The Oregon Voting System: Statistical Evidence that it Works

Richard Charnin
Jan. 2, 2012

This statistical analysis of Oregon’s voting history provides evidence that the vote-by-mail system introduced in 1998 has been a success.
http://richardcharnin.com/OregonVotingSystem.htm

In 1988 Bush was the de-facto incumbent as Vice President. Dukakis led by 55.0-42.9% in the Oregon exit poll and won the recorded vote by 51.3-46.6%. He also won the unadjusted state exit poll national aggregate by 50.0-49.0%. But Bush won the national recorded vote by 53.4-45.6%.

In 1992 Bush was the incumbent. Clinton led Bush by 49.3-25.7% in the Oregon exit poll but won the state recorded vote by just 42.5-32.5%. He led the unadjusted state exit poll national aggregate by 45.7-34.8% and the national recorded vote by 43.0-37.4%.

In 1996, Clinton was the incumbent. He led Dole by 48.4-37.9% in the Oregon exit poll and won the state by nearly the same margin: 47.2-39.1%. He led the unadjusted state exit poll aggregate by 50.2-39.8% and the national recorded vote by nearly the same margin: 49.2-40.7%. His 54.7% two-party Oregon share exactly matched the National recorded share.

In 2000, Gore won Oregon by 47.0-46.5% and led the unadjusted state exit poll national aggregate by 50.8-44.5%. He won nationally by nearly the same margin (48.4-47.9%) and had a 48.3% Battleground share. The National True Vote Model indicates that he won by 50-47%. Nader had 6% in Oregon and 3% nationwide. Allocating the excess 3% Nader vote, Gore would have won Oregon by approximately 50-47.5%. He had 50.8% in the unadjusted state exit poll national aggregate.

The close match between the Gore’s recorded vote, pre-election polls, exit polls and True Vote Model indicates that Oregon was representative of the True National Vote.

In 2004, Bush was the incumbent. Kerry led the state pre-election polls by 48-47% and was projected to win by 51-48%. He led the Oregon pre-election poll by 50-44% and was projected to win by 53.7-45.3%. He won Oregon by 51.3-47.2%, a 3.6% improvement in margin over Gore. Kerry won the unadjusted state exit poll aggregate by 51.1-47.0% but lost the recorded vote by 50.7-48.3%. Kerry had a 53.6% national share in the True Vote Model – a 10 million vote margin. The model assumptions were 98% turnout of living returning Gore and Bush voters and 12:22am National Exit Poll with 8% of Gore voters defecting to Bush and 10% of Bush voters to Kerry.

Bush improved on his 2000 recorded vote share not only in the battleground states as well as in solidly Democratic New York. But Oregon went against the grain and shifted from Gore to Kerry. Kerry’s Oregon margin was 3.7% higher than Gore’s. This was primarily due to Kerry’s 65-13% lead in returning Nader voters and 57-41% edge in new voters. Kerry’s Oregon share was close to his 52% pre-election poll as well as the unadjusted state exit poll aggregate (51.1-47.6%).

Once again, the close match between Kerry’s recorded share (51.3%) and the aggregate of the state exit polls (51.1%) indicated that Oregon represented the True National Vote.

Therefore, we must conclude that the election was stolen in the Battleground states and that Oregon’s vote-by-mail system was virtually fraud-proof.

In 2008, McCain was the de-facto incumbent. Obama led 56-39% in the Oregon pre-election poll and won the state by 56.7-40.4%. He had 58.4% in the post-election survey. The True Vote model indicated 56.0-42.8%. Obama won the national recorded vote by just 52.9-45.6%, a 9.5 million vote margin, but he had 58.0% in the unadjusted state aggregate exit polls and 58% in the True Vote model. The triple match is powerful confirming evidence that the vote-by-mail system worked. Obama won the unadjusted National Exit poll (17836 respondents) by a whopping 61-37%.
We can conclude that Oregon’s votes were counted accurately – unlike the other states.

Again, the close match between Obama’s 2008 recorded vote (56.7%), unadjusted state exit poll aggregate (58.0%) and the National True Vote Model (58.0%) indicates that Oregon was representative of the national electorate.

In the 2010 Midterms, Ron Wyden (OR Dem Senate) won re-election with 57%, exactly matching the pre-election polls and Obama’s OR share. But popular progressive Democrats in other states such as WI, IL and PA were all defeated; their recorded vote shares were far below that of Obama, who won each state in a landslide. How come Wyden won handily but other progressives lost in WI, PA, IL? Did it have something to do with Oregon’s unique early voting system (mail and in-person) and it’s mandated hand recounts?

To believe that Oregon’s mail-in/early voting system miscounted votes, one must also believe that Bush did legitimately win all the other battleground states and therefore that the national and state exit polls that showed Kerry winning were all wrong. But what if the exit polls were correct? What if the votes were miscounted? Then one would have to conclude that Oregon’s system worked. The states used electronic voting machines, punched cards and levers.

True Vote Methodology

The analysis tables provide a reasonable approximation of the National, Oregon and Battleground True Vote shares.
Given 2000 and 2004 votes recorded and cast, the True Vote calculation assumes:
1. Kerry and Gore had 75% of the uncounted (cast – recorded) votes
2. Annual 1.25% voter mortality (5% in the four years between elections)
3. Equal 98% turnout of returning 2000 voters in 2004.
4. Equal Gore and Bush returning voter defection rates (they cancel each other).
5. Kerry won returning Nader voters by 65-13% over Bush based on the National Exit Poll.
6. New 2004 voters is the difference between 2004 votes cast and returning 2000 voters.
7. Kerry won new voters by 59-39% nationally. His DNV share in each state is calculated as:

State DNV share = 0.59* (1+state exit poll share – 0.5197)*new voters, where .5197 is Kerry’s unadjusted state exit poll aggregate (national) share. For instance, in NY, Kerry’s share of 1347k DNV is 894k = 0.59*(1+.645-0.5197).

The simplifying assumption is that there was zero net defection of returning Gore and Bush voters (they cancelled each other). But the 12:22am National Exit Poll of 13,047 respondents indicates that 10% of Bush voters defected to Kerry and only 8% of Gore voters defected to Bush. The 2004 True Vote analysis shown below indicates that Kerry had a 53.7% national share assuming a net 2% defection as opposed to 53.3% assuming zero net defection. See the Recursive True Vote Model.

Kerry True Vote Sensitivity Analysis
Two groups of three tables display the effect of various model input assumptions on Kerry’s vote share. The margin of error is less than 1.5%.

-New Voters and returning Nader/other voters
Three tables display Kerry’s National, Oregon and Battleground True Vote shares over a 54-63% range of new voters and 61-69% of returning Nader/other voters. Kerry wins all worst case scenarios (54% of new voters and 61% of returning Nader voters).

-Returning Gore and Bush Voter Turnout
Three tables display Kerry’s National, Oregon and Battleground vote shares for 91-99% turnout of living former Gore and Bush voters. Kerry wins all worst case turnout scenarios (91% of living Gore voters and 99% of living Bush voters).

Oregon vs. New York and California

National
In 2000, Gore won the recorded vote by 48.4-47.9%. In 2004, although returning Nader voters broke heavily for Kerry by 65-13% and new voters by 59-39%, Bush won by 50.7-48.3%. That is not plausible.

Oregon
Gore won by 47.0-46.5%. With returning Nader and new voters breaking for Kerry, his recorded vote-count margin increased to 51.4-47.2%. That is plausible. Kerry led by 52.2-46.3% in the exit pollster telephone poll. That is plausible.

New York
Gore won by 60.2-35.2%. Although returning Nader and new voters broke heavily for Kerry, his recorded vote-count margin declined to 58.4-40.1%. That is not plausible. Kerry led by 64.5-34.0% in the exit poll. That is plausible.

California
Gore won by 53.4-41.6%. Although returning Nader and new voters broke heavily for Kerry, his recorded vote-count margin declined to 54.3-44.1%. That is not plausible. Kerry led by 60.1-38.6% in the exit poll. That is plausible.

Why did Kerry’s margin increase in Oregon, a battleground state, and decline in strongly Democratic California and New York?

Why was the exit poll so far off in California (11.6 WPE)? It voted 29% on DRE touch screens, 66% on optical scanners and 4% on punch cards.

Why was the exit poll so far off in New York (12.2 WPE)? It voted exclusively on lever machines.

Why were the exit polls so far off (7.5 WPE) in the Battleground states? They voted on punched cards, levers, optical scanners and DREs.

Florida and Ohio

In Florida 2000, there were approximately 185,000 spoiled punch cards (under-punched and over-punched). According to the Census, 43,000 more votes were cast than recorded. Where did the 142,000 extra votes come from? Bush won Florida by 537 votes.

In Florida 2004, according to the Census, approximately 238,000 more votes were recorded than cast. How many were uncounted? Bush won by 380,000 votes.

In Ohio 2004, according to the Census, 143,000 more votes were recorded than cast. Approximately 300,000 were uncounted (see Was the 2004 Election Stolen? by RFK, Jr.) How many votes were switched? Bush won by 119,000 votes.

Oregon’s Pre-Election Polls Uniquely Matched the Recorded and True Vote

Final state pre-election polls were virtually all Likely Voter (LV) subsets of the full Registered Voter (RV) samples. Likely Voter subsets largely exclude “new” voters: first-timers and others who did not vote in the prior election. The Democrats won ‘new voters’ by an average 14% margin before Obama’s whopping 44%. Projections that ignore RV polls and focus solely on LV polls will inevitably underestimate the Democratic share, especially in heavy-turnout elections such as 2004 and 2008. In 2004, final pre-election projections were based on LV polls which understated voter turnout by 6%. Virtually all online political sites displayed LV polls (not RVs) and failed to allocate undecided voters.

Mainstream pollsters allocated 65-90% of undecided voters to Kerry. His projected national LV poll share was 1-2% lower than the projected RV share. In New York and California, pre-election poll projections were a virtual match to the recorded vote-count share. But they were 5-6% below Kerry’s exit polls and True Vote shares. The same LV/RV mismatch occurred in 2008. Obama had a 53% projection based on LV polls but had 57% based on RV national polls after allocating undecided voters.

Voting by mail results in high turnout, so the pre-election polls are RVs by definition. Kerry led by 50-44% in the final poll. After the undecided voter allocation (UVA), he was projected to win by 53-45%, matching the True Vote Model and within 1.6% of his recorded share. In the final weeks prior to the 2004 and 2008 elections, national LV polls were displayed on political websites; many did not allocate undecided voters.

By virtue of its vote by mail system, Oregon’s pre-election RV polls undermine the media’s objective of fooling voters into believing bogus vote counts. The media primes voters before the election with LV-only projections and then covers up the fraud with final exit polls that they always force to match the vote miscounts.

1988 – 2008: Patterns of Discrepancies Before and After Voting-By-Mail

Before Mail-In Ballots

1988 – Bush was Vice President. Dukakis had 51.3% in Oregon and 45.7% National.
He did 3.2% better in the OR exit poll.
1992 – Bush was President. Clinton had 42.5% in Oregon and 43.0% National.
He did 5.1% better in the OR exit poll.
1996 – Clinton was President. He had 47.2% in Oregon and 49.2% National.
He did 2.2% better in the OR exit poll.

After Mail-In Ballots

2000 – Clinton was President. Gore had 47.0% in Oregon and 48.4% National.
2004 – Bush was President. Kerry had 51.3% in Oregon and 48.3% National.
2008 – Bush was President. Obama had 58.4% in Oregon and 52.9% National.

Is it just a coincidence that when Clinton was the incumbent, there was just a 1.7% deviation between the Oregon and National vote shares?
Is it just a coincidence that when Bush was the incumbent, there was a 3.5% deviation between the Oregon and National vote shares?
If the True Vote Model is correct and Oregon reflects the national electorate, then what does that tell us about the electoral system?

Oregon County Vote Change Correlation

Since Oregon switched to mail-in ballots in 1998, there has been a noticeable decline in the volatility of changes in county vote shares from election to election. Before the switch to mail, there was a 0.93 correlation between 1996 and 2000 county vote share and a 5.0% standard deviation. After the switch, there was a near-perfect 0.98 correlation between 2000 and 2004 county vote shares and a lower 2.2% standard deviation in percentage vote change. There was an even better 0.99 correlation for 2004 and 2008. along with a very low 1.5% standard deviation in percentage vote change. The system is getting better and better.

The statistical analysis makes intuitive sense. Since the battleground states closely mirror the national electorate as by definition, Oregon’s recorded vote share should have been close to the other battleground states. But it was the only state that deviated sharply to Kerry. Oregon’s voting system is transparent. Optically scanned machine counts are verified by random hand-counts. Washington has also recently implemented a mail-in system.

Touch screen voting machine precincts avoid paper ballots; votes can be switched locally or at the invisible central tabulators. Optical scanners are a step in the right direction, but the system is ripe for fraud without a system similar to Oregon’s mandated random hand-count of selected precincts. Punch card machines can be rigged to void votes by double and triple-punching the ballots after the polls close – as occurred in Florida 2000. Corrupt election officials are quick to blame “stupid” voters for not properly filling out h the ballots.

Lever machines in NY, CT and PA did not use paper ballots; too few machines are placed in heavily Democratic precincts; defective machines that break down cause voters to leave the precinct; levers were “stuck” for Bush in 2004; lever gears can be shaved. Most important, tabulation of the votes is done on computers.

In NY, Gore, Kerry and Obama each enjoyed a 7% higher late (paper ballot) vote share than they did on Election Day levers. What does that tell us?

Here is an amazing statistic that very few are even aware of: Obama had 52% of the 121 million votes recorded on Election Day but he had a whopping 59% of the 10 million (paper ballot) votes recorded after Election Day. What are the odds of the 14% discrepancy? It’s like a 10 million sample-size exit poll.

Kerry won new voters by 59-39% and returning Nader voters by 65-13%. In order to believe the recorded vote, you must also believe that returning Gore voters defected to Bush at a much higher rate than Bush voters to Kerry. But according to the 12:22am National Exit Poll, 10% of Bush and 8% of Gore voters defected.

The above analysis indicates that Oregon’s mail-in system works just fine. It would be greatly appreciated if interested readers can find flaws in the assumptions, logic or the math and present contrary statistical and/or anecdotal evidence. The analysis should be forwarded to Oregon’s election officials who may then decide to scrap vote by mail and convert to HAVA-compliant DREs, Optical scanners, Punch cards or Lever machines.

Readers who believe that vote-by-mail systems are vulnerable to election fraud and/or voter fraud, should lobby state officials to oppose Oregon’s vote-by-mail system and keep their unverifiable voting systems.

Those opposed to 100% paper ballot voting by mail or hand-delivery cite advantages in precinct voting. These include a) voters meeting friends and making new ones, b) taking time off from work to vote, c) projecting a patriotic image by voting in full view, d) looking smart by touching the computer screen, e) exercising their legs while waiting to vote and f) getting free coffee.

If you believe the recorded 2004 vote was accurate in the battleground states, then you must also believe that…
1- Bush won a fair election.
2- The electronic and mechanical voting machines accurately counted the votes.
3- There was little or no fraud.
4- Election reform efforts are meaningless.
5- There is nothing wrong with our national voting system.
6- Oregon’s voting system was rigged for Kerry since it was the only battleground state he won that shifted sharply to him from Gore.
7- Pre-election state and national polls that projected Kerry would win by 51-48% after undecided voters were allocated were wrong.
8- Unadjusted and preliminary state and national exit polls that had Kerry winning by 5-7% were wrong.
9- The Oregon telephone survey that showed Kerry winning a 52.3% share was wrong.
10- Either returning Nader voters defected to Bush and/or he won a majority of new voters and/or more returning Gore voters than Bush voters defected.
11 -The National Exit Poll which had Kerry winning returning Nader voters by 65-13% and new voters by 59-39% were wrong.
12- The Oregon vote must have been padded for Kerry (51.4%) and Obama (56.7%).
13- Election officials in Florida, Ohio, NY and other states did a great job in making sure that the voting machines were not tampered with.
14- A problem with vote by mail is the elimination of exit polls. Oregon needs exit polls even though they are usually wrong.
15- The True Vote Model is flawed since it closely matched the unadjusted National, Oregon and Battleground exit polls.
16- There is nothing wrong with the standard policy of forcing final state and national exit polls to match the recorded vote.
17- Final 1992, 2004 and 2008 National Exit Polls were correct: there were millions more returning Bush voters from the prior election than were alive.

Election Model Forecast; Post-election True Vote Model

2004 (2-party vote shares)
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
Model: Obama 53.1%, 365.3 EV (simulation mean)
Recorded: 52.9%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 (2-party state exit poll aggregate shares)
Model: Obama 51.6%, 332 EV (Snapshot)
Recorded: 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

 
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Posted by on January 2, 2012 in Uncategorized

 

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Mathematical Proof: JFK, Election Fraud and 9/11

Richard Charnin
Updated: Sept. 4, 2012

These are not conspiracy THEORIES. These are conspiracy FACTS. It’s all in the numbers.

The JFK Assassination
http://richardcharnin.wordpress.com/category/jfk/

The probability that AT LEAST 15 JFK-related witnesses out of 1400 would have UNNATURAL deaths within ONE year of the assassination is 1 in 167 TRILLION!
P = 1- Poisson(14, 1400*0.000542, true)

View the JFK Witness Spreadsheet database.

- At least 33 JFK material witnesses died unnaturally in the 3 years following the assassination.
The probability that EXACTLY 33 DIED UNNATURALLY is 1 in 137 TRILLION TRILLION.
P = Poisson(33, 3*1400*0.000542, false)

- At least 70 died unnaturally in the 14 years following the assassination.
The probability that EXACTLY 70 DIED UNNATURALLY is 1 in 714 MILLION TRILLION TRILLION.
P = Poisson(70, 14*1400*0.000542, false)

In 1977 the House Select Committee on Assassinations investigated the murders of JFK and MLK. The HSCA determined that both were conspiracies.

In a given year we would normally expect ONE unnatural death in a random group of 1400 people. But within one year of the JFK assassination, there were 15 unnatural witness deaths – including Lee Harvey Oswald, who was shot by Jack Ruby in front of millions of television viewers on Nov. 24, 1963. Oswald said he was just a “patsy”. This analysis indicates he was telling the truth. Transcripts of Oswald’s interrogation were destroyed. He was conveniently disposed of before he could get a lawyer.

The Proof:
There are two parameters in the Poisson probability function: the expected number (a) of unlikely events and the actual number (m).
The Poisson function is: P(m) = a^m * exp(-a)/ m!

In any given year, the expected number (a) of unnatural deaths in a group of N people is equal to N times the probability (p) of an unnatural death: a= p*N

Probability 1 year
suicide……… 0.000107
homicide…… 0.000062
accidental….. 0.000359
undetermined 0.000014

Prob (p)……. 0.000542 (total)

N = 1400 the number of witnesses
p = .000542 is the probability of an unnatural death in a given year

Expected number (a) of unnatural deaths in one year:
a = 0.7588 = p*N = 000542*1400

Poisson Distribution

The Poisson probability is:
P(m) = a^m * exp (-a) / m! or
P(15) = .7588^15 * exp (-.7588)/15!
P(exactly 15 deaths) = 1 in 175,441,539,952,741 = 1 in 175 TRILLION

This graph displays the probabilities over a range of unnatural deaths and witnesses.

The probability of AT LEAST n UNNATURAL deaths in a group of N= 1400 over T years
P = 1- Poisson(n-1,1400*T*.000542, true)

The probability of AT LEAST n UNNATURAL deaths in a group of N= 1400 over T=1 year

n 1 in

1 2
2 6
3 24
4 132
5 892
6 7,195
7 67,346
8 718,040
9 8,593,044
10 114,073,493
11 1,663,713,384
12 26,445,366,889
13 455,051,758,699
14 8,427,523,639,942

15 167,145,910,421,722

______________________________________________________________________________

Election Fraud

Media pundits, pollsters and academics refuse to discuss or analyze the data which proves that election fraud is systemic.

The Law of large numbers and the Binomial Distribution Function

There were 274 state presidential exit polls in the 1988-2008 elections. Of the 274, 226 red-sshifted to the Republican from the poll to the vote. The exit poll margin of error was exceeded in 126 of the 274. Of the 126, 123 deviated in favor of the Republican.

The probabilities are ZERO for each.

1)226 red-shift to the GOP…… 3.71E-31 =binomdist(56,68,.5,false)^4
2)126 exceed MoE……………. 7.98E-75 =poisson(126,.05*274,false)
3)123 exceed MoE (GOP)………. 5.38E-106 =poisson(123,.025*274,false)

The unadjusted exit poll data source is the Roper site.

The True Vote Model (TVM)
The TVM is based on Census votes cast, mortality, prior election voter turnout and National Exit Poll vote shares. The TVM closely matched the exit polls in each election from 1988-2008. In 2008, it was within 0.1% of Obama’s 58.1% unadjusted exit poll share.

The Democrats led in the 1988-2008 election averages by the following margins…
1) recorded vote: 47.9-45.9%
2) unadjusted STATE exit poll: 51.8-41.6%
3) unadjusted NATIONAL exit poll: 51.7-41.7

True Vote Model:
Democratic vote shares based on Prior Election…
4) Recorded Vote 50.17
5) Votes Cast 51.57
6) Exit Poll 52.50
7) True Vote 53.00

View the 1988-2008 Election Summary

The Democrats won the exit poll but lost the recorded vote in these states:

1988
CA IL MD MI NM PA VT
Dukakis won the National Exit Poll with 50.3% and had a 51-47% edge in 24 battleground unadjusted state exit polls. He lost by 7 million votes. There were 11 million uncounted votes.

1992
AK AL AZ FL IN MS NC OK TX VA
Clinton had a 18 million vote margin in the unadjusted state exit polls. He won the recorded vote by just 6 million. There were 9 million uncounted votes.

1996
AK AL CO GA ID IN MS MT NC ND SC SD VA
Clinton had a 16 million vote margin in the unadjusted state exit polls. He won by just 8 million recorded votes. There were 9 million uncounted votes.

2000
AL AR AZ CO FL GA MO NC NV TN TX VA
Gore needed just ONE of these states to win the election. He won the unadjusted state exit polls by 6 million, matching the TVM. But he won the recorded vote by just 540,000. The election was stolen. There were 6 million uncounted votes.

2004
CO FL IA MO NM NV OH VA
Kerry would have won if he carried FL or OH. He won the unadjusted state AND NATIONAL exit polls by 5-6 million with a 51.1-51.7% share. The TVM indicates that he won the True Vote by 10 million with 53.5%. But the election was stolen. He lost by 3.0 million recorded votes. There were 4 million uncounted votes.

2008
AL AK AZ GA MO MT NE
Obama had 58.0% in the unadjusted state exit polls, a 23 million vote margin -exactly matching the TVM. But his recorded share was just 52.9%, a 9.5 million margin.

Media pundits, pollsters and academics refuse to discuss or analyze the data which proves that election fraud is systemic.

______________________________________________________________________________

9/11

http://en.wikipedia.org/wiki/Newton’s_laws_of_motion

WTC Building 7 collapsed at free-fall (i.e. controlled demolition) at 5:20pm on 9/11. It was not hit by a plane. But less than half of Americans have heard of Building 7. How would they know about it? Building 7 was NEVER mentioned in the 9/11 Commission hearings or noted in the official 9/11 report.

http://en.wikipedia.org/wiki/Gravitation

The media won’t touch this – just like they won’t discuss the facts about election fraud and JFK. Rather, thee “official” version is shown on the National Geographic Channel, the History Channel or publications such as Slate and Popular Mechanics.

Sir Isaac Newton is spinning in his grave.

Towers 1 and 2 fell at near free-fall with office debris expelled LATERALLY at a distance of 600 feet. There has NEVER been a steel-framed building that collapsed due to fires. That’s because aircraft fires burn at approximately 1500 degrees. Steel melts at 2700 degrees.

But NIST still claims that all three buildings collapsed due to office fires on 9/11 – while at the same time admitting that Building 7 fell at free-fall for 2.5 seconds. Thank you, David Chandler, for forcing NIST to admit free-fall.

And thank you, David Chandler, for your masterful presentation at the Toronto 9/11 Hearings . Viewers will be forced to either believe their lying ears and eyes (and science) or they will choose to remain in the fog of collective cognitive dissonance.

Now, what is the probability of each of the following events?

- William Rodriguez, a janitor at the WTC on 9/11, would hear a loud explosion seven seconds before the plane hit, but his testimony wouldbe ignored by the 9/11 commission.
- The NIST would fail to acknowledge free-fall until David Chandler proved it.
- The collapse of WTC 7 would occur due to structural failure of one beam.
- The 9/11 Commission would fail to mention WTC 7 or note it their Report
- For the first time in history, not one but three steel-framed buildings would collapse due to office fires.

- Airline fuel burning at 1000F would melt steel.
- April Gallop would hear an explosion next to her office at the Pentagon but not see any aircraft debris.
- NIST would not consider explosives as a possible cause of the collapses.
- NIST would admit freefall and claim it was due to office furniture fires.
- There would be traces of thermite in the lungs of first responders.

- Over 118 firefighters would imagine that they heard explosions.
- Furniture would be ejected laterally 600 feet from office fires.
- Firefighters would know that WTC 7 would collapse before it did.
- When Larry Silverstein said “pull-it” he did not mean demolish WTC 7.
- At 5pm, the BBC would report WTC7 fell, 20 minutes before it did.

- A passport of an alleged hijacker would be found in the rubble of the WTC.
- There would be no manifest record that hijackers boarded the planes.
- Put options on airline stocks would rise dramatically a few days before 9/11.
- Osama Bin Laden would not be on the FBI most wanted list for 9/11.
- 9/11 Commission heads Kean and Hamilton would disavow their own report.

- There were multiple air defense exercises conducted on 9/11.
- Officials who ignored standard response procedures would be promoted.
- Not one of the four flight recorders would be retrieved.
- There is no video, airline debris or human remains at the Pentagon.
- There is no video, debris or human remains at the Pennsylvania crash site.

- The media would not investigate these facts.

 
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Posted by on December 26, 2011 in Uncategorized

 

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