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Category Archives: Rebuttals

Nate Silver and Election Fraud

Richard Charnin
Nov. 17, 2014

http://richardcharnin.com/

Our democracy was stolen on Nov.22,1963: Click Reclaiming Science:The JFK Conspiracy to look inside the book.

This is how elections are stolen. Click Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts to look inside the book.

Once again, Nate Silver misdirects: http://fivethirtyeight.com/features/the-polls-were-skewed-toward-democrats/

As usual Nate gets it wrong. He talks about polling bias but not a word about the fact that early pre-election polls include all registered voters (RVs). As we move toward Election Day, the polls are transformed to the subset of Likely Voters (LVs) – with the effect of reducing projected Democratic turnout and vote share.

The true bias is that pollsters skew the projections in order to match the expected fraudulent recorded vote. Nate Silver never considers that the RV polls are usually close to the truth – but that the LV polls are biased against the Democrats. So it’s just the opposite from Nate’s view. He believes the official vote counts are accurate, but in reality any researcher who analyzes the historical record should see a consistent pattern – a red shift- to the GOP. It is absolute proof that the recorded vote counts are fraudulent and biased for the Republicans. http://electiondefensealliance.org/?q=voter_cutoff_model

Nate never discusses the fact that exit polls are always forced to match the bogus recorded vote. The pollsters admit it. It is standard operating procedure. The rationale is that the polls must be wrong and therefore must be adjusted to match the pristine fraud-free recorded vote. Of course we never get to see the unadjusted exit polls.

I just posted the True Vote model for the Wisconsin and Florida governor races. Both races were stolen in 2014- just like they were in 2010 and the 2012 Walker recall. .

In the 2010 Florida Governor election, the unadjusted exit poll and the True Vote Model indicated that Sink won by 5%, yet Scott won the recorded vote by 1%. In 2014, Scott won again. The 2-party vote shares were identical! Scott had 50.59% in 2010 and 50.58% in 2014! A coincidence? Hardly.The Florida 2014 Exit Poll indicates a 31-35-33 Dem-Rep-Ind split (over-weighted for Republicans) with 91% of Dems voting for Crist, 88% of Repubs voting for Scott. Crist won Independents by 46-44%. When we change the split to a more plausible 34-33-33, Crist is the winner by 49.4-45.6%. http://richardcharnin.wordpress.com/2014/11/14/florida-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

In the 2014 Wisconsin Governor election, a True Vote analysis indicates that Walker stole the election, just like the recall in 2012. View the True Vote analysis: http://richardcharnin.wordpress.com/2014/11/12/wisconsin-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

Nate Silver never discusses Election Fraud, even though it has been proven systemic. I pointed this a few years ago in a reply to his post on why we should not believe exit polls. His knowledge of exit polls was (and apparently still is) non-existent. http://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/

The easiest way to understand that our elections are fraudulent is to look at the 2004 presidential election. According to the adjusted 2004 National Exit Poll (as posted on major media sites), there were 52.6 million returning Bush 2000 voters (43% of the 2004 electorate) and 37% returning Gore voters. Recall that Gore won the popular vote by 540,000. Gore won the unadjusted exit polls by 50-45% (he actually won the True Vote by 3-5 million).

But Bush had only 50.5 million recorded votes in 2000. Approximately 2 million died and one million did not return. Therefore, there were at least 5 million (52.6-47.5) phantom Bush voters. The exit pollsters had to adjust the unadjusted, pristine National Exit poll which showed Kerry a 52-47% winner to make Bush a 51-48% winner. Bush needed an impossible 110% turnout of living Bush 2000 voters to match the recorded vote. http://richardcharnin.wordpress.com/2012/04/05/fixing-the-exit-polls-to-match-the-policy/

And finally, here is the ultimate proof of systemic election fraud. In the 274 state presidential unadjusted exit polls from 1988-2008, the Democrats won the polls by 52-42%, exactly matching my True Vote Model. But they won the recorded vote by just 48-46%. Of the 274 exit polls 135 exceeded the margin of error, 131 in favor of the Republican. The probability P of that discrepancy is E-116 or
P= 0.0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 000001.

1988-2008 Unadjusted State and National Exit Poll Database

Take anything from Nate Silver with a BIG GRAIN OF SALT. He never mentions PROVEN ELECTION FRAUD . And don’t forget that he had the gall to rank famous pollster Zogby dead last in his evaluation of pollsters a number of years back while ranking dedicated GOP pollsters at the top.

I have written several open-letter posts for Nate. He has not responded to any.

1. An Open Letter to Nate Silver http://richardcharnin.com/OpenLettertoNateSilver.htm
2. An Open Letter to Nate Silver (Part 2) http://richardcharnin.com/OpenLettertoNateSilver.htm
3.Twenty-five Questions for Nate Silver http://richardcharnin.com/TwentySilver.htm
4.A Reply to Nate Silver’s “Ten Reasons Why You Should Ignore Exit Polls” http://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/
5. Zogby vs. Silver: 1996-2008 True vs. Recorded Vote Pollster Rankings http://richardcharnin.com/SilverRankings.htm

The bottom line: Nate works for the major corporate media which is not interested in divulging why pre-election and exit pollsters adjust the polls to match fraudulent vote counts. They will never plead guilty.

This is a summary of my track record in forecasting the 1988-2012 presidential elections, unadjusted exit polls and True Vote Models. http://richardcharnin.wordpress.com/2014/09/14/summary-2004-2012-election-forecast-1968-2012-true-vote-model/

 

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JFK Witness Deaths: Responding to Warren Commission Apologists

JFK Witness Deaths: Responding to Warren Commission Apologists

Richard Charnin
Dec. 28, 2013
Updated: Jan.5, 2014

Click Reclaiming Science:The JFK Conspiracy to look inside the book.

JFK Blog Posts
JFK Calc Spreadsheet Database
Tables and Graphs

Ever since I first posted on the probabilities of JFK-related deaths, Warren Commission (WC) apologists, trolls and various disinformationists have attempted to refute the logic behind the calculation. After all, if it could be proved that the probability of all these deaths was essentially zero, that would mean there was a “cleanup” operation. It would prove a conspiracy to assassinate JFK and a conspiracy by the mainstream media to cover it up.

This is a summary of apologist arguments and my responses.

The basis for WC apologist talking points is a 1967 CIA memo and the 1977-78 House Select Committee on Assassinations (HSCA). http://www.cassiopaea.org/cass/jfkdeaths.htm

These talking points have been promoted for years by John McAdams, the most prolific “Lone nutter”. He has been totally debunked by Michael T. Griffith: http://www.mtgriffith.com/web_documents/vsmcadams.htm

A 1967 memo from CIA headquarters to station chiefs advised:
Such vague accusations as that “more than 10 people have died mysteriously” can always be explained in some rational way: e.g., the individuals concerned have for the most part died of natural causes; the (Warren) Commission staff questioned 418 witnesses – the FBI interviewed far more people, conducting 25,000 interviews and reinterviews – and in such a large group, a certain number of deaths are to be expected.

London Sunday Times and the HSCA
An actuary engaged by the London Sunday times calculated that the odds against 18 material witnesses dying in the three years after the assassination was 100,000 trillion to one.

The Times Legal manager responded to a letter from HSCA:
The Editor has passed me your letter of 25th April. Our piece about the odds against the deaths of the Kennedy witnesses was, I regret to say, based on a careless journalistic mistake and should not have been published. This was realized by The Sunday Times’ editorial staff after the first edition–the one which goes to the United States and which I believe you have–had gone out, and later editions were amended.

There was no question of our actuary having got his answer wrong: It was simply that we asked him the wrong question. He was asked what were the odds against 15 named people out of the population of the United States dying within a short period of time to which he replied–correctly–that they were very high. However, if one asks what are the odds against 15 of those included in the Warren Commission index dying within a given period, the answer is, of course, that they are much lower. Our mistake was to treat the reply to the former question as if it dealt with the latter–hence the fundamental error in our first edition report, for which we apologize.

None of the editorial staff involved in this story can remember the name of the actuary we consulted, but in view of what happened you will, I imagine, agree that his identity is hardly material.

Yours sincerely,
Antony Whitaker, Legal Manager.

The HSCA Statistician testified and noted 21 deaths had been analyzed: http://jfkassassination.net/russ/jfkinfo2/jfk4/hess.htm
Even though the London Sunday Times had not structured its actuarial inquiry properly and, therefore, the 100,000 trillion to 1 odds were invalid, the committee staff looked into the possibility of conducting a valid study, contracting with our own actuarial firms here in the District of Columbia: Edward H. Friend & Co., Towers Perrin, Forster & Co., and the Wyatt Co.

One, to compute valid actuarial statistics, one must be able to determine to a reasonable degree of specificity, the universe of individuals to which the specific group is being compared. In other words, we would have to determine the total number of individuals who exist in each of the categories into which those individuals who have mysteriously died, fall. This means that we would need to establish the number of individuals who in any manner could be considered witnesses to the assassination of President Kennedy and Lee Harvey Oswald, the number of individuals who had any contact with Oswald or Ruby or with Ruby’s nightclubs, the number of individuals who professed to have material knowledge of the case or of the major figures in the case, all news reporters who had expressed interest, taken interviews or investigated the case, and all Members of Congress who sought to introduce legislation concerning the investigation of the case. This, as you can imagine, would have been an impossible task.

As a result of the above, probability analysis confirming the actuary’s odds has been attacked by WC apologists who also cite books by Vincent Bugliosi and Gerald Posner. The following are talking points used by critics of the JFK witness probability analysis – and my response to them:

- The London Sunday Times actuary’s result was invalid (see Legal Manager and HSCA)
I confirmed the actuary’s odds based on the 0.000207 weighted unnatural mortality rate applied to 459 witnesses. The Times did not show the actuary’s calculation, and did not mention that 13 of the 18 deaths were unnatural. No one at the Times remembered the actuary’s name and there was no record of it?

- The universe of witnesses is unknowable, therefore the probabilities cannot be calculated.
That is untrue. We know how many testified at the WC. We also know the approximate number of witnesses sought by New Orleans D.A. Jim Garrison in the Clay Shaw trial, Church Senate Intelligence and the HSCA investigations.

- Bugliosi noted that that the Warren Commission Index has 2479 names and claimed a Metropolitan Life actuary calculated 1 in 1.2 odds.
But how come George Washington, Abraham Lincoln and other non-witnesses are included in the Index? And how come, just like the HSCA, Bugliosi’s actuary did not consider unnatural death mortality rates in the calculation? Even assuming 2479 witnesses, the probability of 78 unnatural deaths from 1964-78 is a very conservative 2.7E-13 (less than 1 in a trillion) assuming the average national unweighted mortality rate (.000818). The correct solution is E-44 (less than 1 in a trillion trillion trillion) assuming the JFK-weighted unnatural rate (0.000253).

- There were 25,000 FBI interviews. Many would have died.
Where is the list? How many were relevant? The book Who’s Who in the JFK Assassination includes 1400+ names. But, again, let’s assume 25,000 for the sake of argument. The probability of 80 homicides in 15 years is less than 1 in a trillion.

- The mortality rates were not age-adjusted.
Natural causes of death (heart attack, cancer, other) were age-adjusted. But 78 of the 120 deaths were ruled unnatural and were obviously not age-adjusted. A bullet does not know the age of it’s target. http://www.infoplease.com/ipa/A0005124.html

- It is incorrect to assume that the witnesses were connected to the assassination.
It is not an assumption. Sixty-four (64) of the 120 JFK-related individuals JFK Calc either testified or were sought to testify in four investigations. That makes them connected by definition. The other 56 were were not called by design or because they died suspiciously.

- The witness list is self-selected (not random).
Of course, the list of 120 suspicious deaths is selected from an estimated universe of 1400 material witnesses. In a group of 1400 selected at random, just 2 homicides would normally have been expected in 15 years. But there were 77 official unnatural JFK-related deaths (34 homicides, 24 accidents and 16 suicides, 3 unknown). The number of deaths ruled as accidents, suicides, heart attacks and sudden cancers was far beyond the statistical expectation based on corresponding mortality rates. A reasonable estimate is that there were at least 80 homicides.

- The only reason the witnesses are on the list is because they died.
That is just ridiculous for a number of reasons. As mentioned above, 64 of 120 were called to testify. They are not on the list “because they died”. They are on it because their deaths were unnatural and suspicious. They were part of a much larger group of 1400+ who were connected to the assassination. Eventually, all will die. But only 18 would have been expected to die unnaturally from 1964-78. But there were at least 78 official unnatural deaths. The true number is closer to 100.

- Witness occupations were hazardous.
Is that why 7 top FBI officials died within a six month period in 1977 just before they were due to testify at HSCA? Assuming that 20 FBI were called to testify, the probability of at least 7 deaths (5 heart attacks, 2 accidents) in a 6 month period is 1 in 200 trillion!

- The deaths occurred in high crime rate locations. Yes, that is true. FIFTY-ONE of the 120 in the JFK Calc spreadsheet were in Dallas. HOW DO THE LONE NUTTERS EXPLAIN THAT? THEEY WON’T AND THEY CAN’T – BECAUSE THAT STAT TELLS IT ALL.

In 1967, the Dallas population was 700,000. There were 130 murders (a 0.00019 homicide rate). Therefore a reasonable is that there were 400 Dallas murders in the period 1964-66. The Dallas homicide rate was triple the national rate (0.000059). At least 15 Ruby associates (7.5%) out of an estimated 200 contacts were murdered in 1964-66. If 7.5% of Dallas residents were murdered, that would extrapolate to 50,000 murders. Assuming 200 Ruby contacts, they were 400 times (0.075/0.00019) more likely to be murdered than the general Dallas population. Assuming 1000 contacts, they were 80 times more likely.

Using the Dallas rate, these are the probabilities of 15 Ruby contact deaths:
4.9E-27 for 200 contacts (1 in 200 trillion trillion);
9.4E-17 for 1000 contacts (1 in 10,000 trillion). View Ruby contacts in column E. https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDFSU3NVd29xWWNyekd2X1ZJYllKTnc#gid=55

Assume the universe of 1400 JFK-related witnesses in “Who’s Who in the JFK Assassination”. Officially 35 were murdered from 1964-78 (actually there were about 80). Given the National average homicide rate (0.000084) for the 15 year period, the probability of 35 homicides is 8E-33. To satisfy the WC apologists who claimed the deaths took place in high crime areas, let’s triple the national rate. The probability rises to 1.1E-17 (1 in 80,000 trillion). But that still will not satisfy the Lone Nutters, so lets double the rate – to six times the National average. The probability goes up to 1 in 500 million.

- The analysis has not been peer-reviewed.
This is not a theoretical exercise. it is based on the official and estimated expected number of witness unnatural and natural deaths and corresponding mortality statistics. We know the actual number of unnatural deaths. We only need to calculate the expected number based on the witness universe, time period and average mortality rates. The actual and expected numbers are input to the Poisson probability spreadsheet function. That’s all there is to it. There is nothing to peer-review. It’s just simple math. In any case, the data and the calculations are available for anyone to look at online. So far, no one has even tried to refute the analysis.

- It has been said that I’m an amateur conspiracy “buff”, not an actuary or statistician.
That ad-hominem will not stand. I have a lifetime of experience as a professional quantitative software developer of computer models for aerospace, defense, Wall Street investment banking, foreign banks and major U.S. consumer goods manufacturers.

- Even if the odds are 1 in a trillion, it’s still possible that the deaths could have occurred by chance and there is no connection to the assassination.
This was a serious response from an individual who was obviously math-phobic. I got a big laugh out of that one.

 
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Posted by on December 28, 2013 in JFK, Rebuttals

 

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Warren Commission Apologists and Trolls: Feeble Attempts to Debunk JFK Probability Analysis

Warren Commission Apologists and Trolls: Feeble Attempts to Debunk JFK Probability Analysis

Richard Charnin
May 29,2013
Updated Oct.25, 2013

Click Reclaiming Science:The JFK Conspiracy to look inside the book.

JFK Blog Posts
JFK Calc Spreadsheet Database

I posted a JFK Witness death analysis on the JFK Forum: https://groups.google.com/forum/?fromgroups=#!topic/alt.assassination.jfk/9nU_KiM-2E0

John McAdams, the most prolific Warren Commission apologist and lone nutter replied:
“Look . . . you are wasting our time here unless you do the following: Purge your list of people who were *not* any sort of witnesses. Just the fact that buffs *think* somebody might have something to do with the assassination does not make them a witness. Indeed, the majority of people on your list are *not* witnesses”.

If you wanted to approach this seriously (and you clearly don’t) you would take some *defined* population (say, everybody who testified before the Warren Commission) and see how many of those died within a defined time span. You would also have to do some things that a real actuary would know about, such as taking into account the ages of the people on the list.

I glanced at your other blog posts. In spite of the fact that I specialize in voter behavior, your treatment of this issue makes me uninterested in looking at anything else on your blog. You simply don’t know how to approach these issues.
http://mcadams.posc.mu.edu/home.htm
……………………………………………….

John McAdams, you have just proved why you are the premier, quintessential Lone Nutter and Warren Commission shill. I have approached this subject very seriously since Nov. 22, 1963. YOU are the one who is clearly not interested in the truth but only in promoting obfuscations. Your full range of talking points have been totally debunked by Michael T. Griffith: http://www.mtgriffith.com/web_documents/vsmcadams.htm

This pathetic “analysis” is further proof of your incompetence: http://mcadams.posc.mu.edu/logic2.htm . I will now expose your ignorance in the application of probability theory in the analysis of JFK material witness deaths.

Point number 1:
If you read my post(s) you would have seen that I calculate unnatural death probabilities for 552 Warren Commission witnesses over 1, 3 and 15 year periods – and a lot more.

Here are the graphs and probability calculations which prove a conspiracy: http://richardcharnin.wordpress.com/2013/10/14/jfk-witness-deaths-graphical-proof-of-a-conspiracy/

Point number 2:
It’s 2013 and you still don’t understand that a material witness is one who had a connection to the assassination, even if he or she was not called to testify. The witnesses you want to “purge” from the database are very material. There are eyewitnesses, there are material witnesses who have inside knowledge, and there are witnesses who were called to testify at the Warren Commission, the Garrison-Shaw trial, Senate Intelligence Committee and the House Select Committee on Assassinations (HSCA). Many of them were so material that they were eliminated before they had a chance to testify.

I could go on and on. McAdams, you are not paying attention. I gave you links to the JFK Calc spreadsheet. What is the point of debating when you IGNORE the evidence presented on Warren Commission witness deaths?http://richardcharnin.wordpress.com/2013/04/24/jfk-assassination-a-probability-analysis-of-warren-commission-witness-unnatural-deaths/

Let’s consider the actuary engaged by the London Sunday Times. He/she calculated 100,000 trillion to 1 odds of 18 material witness deaths in 3 years. Warren Commission apologists often quote the Times Legal Manager’s letter to the HSCA in dismissing the odds (see below). The vagueness of the letter was a clever ruse to distract from the actuary’s assumptions and methodology – which were never stated. Therefore the calculation was NEVER actually refuted. The actuary’s calculation is confirmed assuming 459 witnesses and 0.000207 weighted overall mortality rate.

Warren Commission
The HSCA statistician claimed that the universe of witnesses was impossible to determine and therefore the calculation was not valid. That is absolutely untrue. There were 552 Warren Commission witnesses and approximately 5600 other material witnesses who were called to testify at the Garrison/Shaw trial, Senate Select Committee on Intelligence and the HSCA (see below).

1964-1966: There was a 1 in 44 BILLION probability of 10 unnatural deaths among the 552 Warren Commission witnesses who testified.

1964-1978: There was a 1 in 60 BILLION probability of 18 unnatural deaths among the 552 Warren Commission witnesses who testified. The probability of 18 homicides is 1 in 8 MILLION TRILLION.

Unnatural and Suspicious Material Witness Deaths Database

At least 83 of 1400 material witnesses died unnaturally in 1964-78: 49 homicides, 24 accidents, 7 suicides, 3 unknown. Another 36 deaths were suspiciously timed heart attacks, sudden cancers, illnesses or unknown causes. Yet you claim there is nothing to see here; you keep spreading disinformation that Oswald was a Lone Nut and the Warren Commission conducted an honest investigation.

Given the conservative 0.000825 average 1964-78 national unnatural mortality rate, the probability of 83 unnatural deaths occurring by chance is E-30 (less than 1 in a TRILLION TRILLION). Given the 0.000235 JFK-witness weighted unnatural mortality rate, the probability is E-70 (less than 1 in a TRILLION^5). The probability of 49 homicides is E-52 (less than 1 in trillion^4).


Four JFK Investigations: at least 62 convenient deaths among 1100 witnesses called to testify

You ignore the fact that 62 of the 118 material witnesses listed in the database were called to testify in four investigations Thirty testified at the 1964 Warren Commission, the others at the 1969 Garrison/Shaw Trial, 1975 Senate Intelligence hearings and 1977 House Select Committee on Assassinations. The probability of 38 UNNATURAL deaths among the 1100 is 1 in 20 TRILLION TRILLION. You cannot argue that the investigation witnesses called to testify were not connected to the assassination. They were relevant enough to be called to testify. BUT RELEVANCE IS A MOOT POINT AS FAR AS THE PROBABILITIES ARE CONCERNED.

Given approximately 1100 witnesses called to testify, all that matters are the number who died unnaturally and their cause of death. The Poisson distribution function for calculating probabilities requires the expected number of deaths (based on mortality rate, number of witnesses and time period) and the actual number of unnatural deaths. It does not include a relevance variable. This is the clincher: Seven (7) top FBI officials died just before their scheduled HSCA testimony in June-November 1977. But as a dedicated naysayer, you would surely call it just another coincidence.

You have nothing left, so you are forced to deny 70 material witnesses, including Dorothy Kilgallen, Florence Smith, William Pitzer, Rose Cheramie, Lisa Howard, Nancy Tyler, Mary Pinchot Meyer, Mary Sherman, Guy Bannister, Jack Zangetty, Grant Stockdale, Gary Underhill, etc, just because they did not testify? And you call yourself an expert? The objections you guys throw up are laughable.

This is a sensitivity analysis of unnatural witness deaths.

The London Sunday Times Actuary
At the end of the 1973 film Executive Action it was noted that “In the three-year period which followed the murder of President Kennedy and Lee Harvey Oswald, 18 material witnesses died – six by gunfire, three in motor accidents, two by suicide, one from a cut throat, one from a karate chop to the neck, three from heart attacks and two from natural causes. An actuary engaged by the London Sunday Times calculated the odds of 18 material witnesses dying within three years of the JFK assassination as 1 in 100,000 TRILLION”.

In response to a letter from the HSCA, the Sunday Times Legal Manager wrote:
“There was no question of our actuary having got his answer wrong: it was simply that we asked him the wrong question. He was asked what were the odds against 15 named people out of the population of the United States dying within a short period of time to which he replied -correctly – that they were very high. However, if one asks what are the odds against 15 of those included in the Warren Commission Index dying within a given period, the answer is, of course, that they are much lower. Our mistake was to treat the reply to the former question as if it dealt with the latter – hence the fundamental error in our first edition report, for which we apologize. None of the editorial staff involved in the story can remember the name of the actuary we consulted, but in view of what happened, you will, I imagine, agree that his identity is hardly material”.

No, the actuary got it right. That’s why he (or she) was a certified actuary. No one can recall the actuary’s name? And it’s hardly material? In fact, Whitaker misrepresented what is essentially a simple mathematical problem: to determine the probability of a given number of unnatural deaths over relevant time intervals within a given population group.

Whitaker claimed the actuary was asked to calculate the odds of 15 deaths in a given period. But there were actually at least 42 unnatural deaths in the three years. The Sunday Times did not specify unnatural deaths. The probability is E-55.

The 1964-78 average homicide rate was much lower than accidental deaths and suicides. An analysis comparing reported unnatural JFK witness deaths to the expected number is not nearly as dramatic as comparing homicides. Nationally, homicides comprised 10% of unnatural deaths. But there were at least 49 (59%) homicides among the 83 JFK unnatural deaths. If the analysis was restricted to homicides, the mathematical proof would be simpler and more powerful.

Lone-nutter Red-herrings, Canards and Straw men
1. Domingo Benavides? Changed his testimony after his brother Eddy was killed by gunshot.
2. Age of witnesses? Irrelevant, ridiculous argument. Homicides, accidents and suicides are irrespective of age. Duh.
3. Universe of material witnesses? Realistically, there were approximately 1,400.
4. Witnesses not random? Of course not. They are material witnesses who died unnaturally.
5. Relevance of witnesses? Sixty-two were relevant enough to be called to testify
6. Use of Poisson Distribution to calculate the probabilities?
7. London Times actuary? Calculations confirmed. And at least 47 suspicious deaths in the three year period
8. London Times Legal Manager misstated the problem? The actuary solved it. That’s why he is an actuary.
9. No one at the Times could recall the actuary’s name?
10. HSCA statistician analysis? Did not consider 20 HSCA prospective witness deaths – and scores of others.

HSCA Obfuscation

The House Select Committee on Assassinations (HSCA) claimed that the number of material witnesses was unknowable and dismissed the calculation as invalid. The HSCA made a number of misleading statements and factual omissions. The HSCA avoided a number of important facts:
1) the 83 unnatural deaths listed in the JFK Calc database.
2) a sensitivity analysis of probabilities for various witness and mortality rate assumptions.
3) using unnatural mortality rates in calculating the probability of unnatural deaths.
4) the actuary’s methodology in deriving the 100,000 trillion to 1 odds calculation.
5) the POISSON distribution function to calculate probabilities.
6) calculating the probability of 18 Warren Commission unnatural deaths (552 witnesses): ZERO
7) comparison of Warren Commission witness homicide vs. the national rate.
8) 62 deaths of witnesses called to testify (Warren, Garrison, Senate, HSCA).

25,000 Witnesses?
Warren Commission apologists claim that 25,000 witnesses were interviewed is a gross exaggeration. How many had inside information? How many were material? Where is the list? According to the reference “Who’s Who In the JFK Assassination” there were approximately 1400 material witnesses were connected in any way to the assassination. The spreadsheet database includes 115 material witness deaths. Even assuming 25,000 witnesses, then given the 0.000062 homicide rate the probability is 1 in 500 BILLION that there would be 26 homicides in the 3 years following the assassination.

I began analyzing JFK witness death probabilities in 2003. This was my initial post on the Democratic Underground. http://www.democraticunderground.com/discuss/duboard.php?az=view_all&address=104×6304

The analysis has been greatly enhanced over the last 6 months and is referenced in “Hit List” by Richard Belzer and David Wayne. http://richardcharnin.wordpress.com/2013/02/25/executive-action-jfk-witness-deaths-and-the-london-times-actuary/

You want …
the witnesses?
their relevance?
the investigations they were called to testify in?
their bios?
their Warren Commission testimony?
the calculations for various assumed times, deaths, mortality rates?
the mathematical proof of a conspiracy?

It’s all in the JFK Calc spreadsheet database.

 
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Posted by on May 29, 2013 in JFK, Rebuttals

 

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Historical Overview and Analysis of Election Fraud

Richard Charnin
Jan.31, 2013
Updated: Nov.4,2013

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% – but won the recorded vote by just 48-46%, an 8% margin discrepancy. View the state and national numbers: https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=15

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.

A Facebook discussion: https://www.facebook.com/richard.charnin/posts/735042649871085

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

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.

TRACK RECORD
Election Model Forecast; Post-election True Vote Model

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

2004 (2-party vote shares)
Model: Kerry 51.8%, 337 EV (snapshot) https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0
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) http://www.richardcharnin.com/2008ElectionModel.htm
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) http://richardcharnin.wordpress.com/2012/10/17/update-daily-presidential-true-voteelection-fraud-forecast-model/
Recorded : 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

 

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A Reply to Nate Silver’s “Ten Reasons Why You Should Ignore Exit Polls”

A Reply to Nate Silver’s “Ten Reasons Why You Should Ignore Exit Polls”

Richard Charnin (TruthIsAll)
Oct. 29, 2010
Update: March 25, 2013

Nate, this is a reply to your November 2008 post Ten Reasons Why You Should Ignore Exit Polls. It’s four years later but it would be instructive to review your comments on exit polls to see if you feel the same way about them. I’m still waiting for your response to my open letter regarding your pathetic last-place ranking of pollster John Zogby . I would also be interested in your answers to these twenty-five questions. It would enable readers to gauge your perspectives on election fraud.

Nate, you have it all wrong in your book. The Signal is the 52-42% Democratic lead in the 1988-2008 unadjusted presidential state and national exit polls. The Noise is the media propaganda that the Democrats won by 48-46% as shown in the published adjusted polls. But we all know that it is standard operating procedure to force the exit polls to match the (bogus) recorded vote. The media (that means you) want the public to believe that Systemic Election Fraud is a myth.

Are you asking us to ignore a) the final adjusted exit polls which are ALWAYS forced to match the recorded vote or b) the unadjusted, preliminary state and national exit polls? If it’s (a), then you must believe that election fraud is systemic since the pristine, unadjusted exit polls are always forced to match the recorded vote, even if they are fraudulent. If it’s (b), then you must believe that election fraud is a myth and that the recorded vote reflects actual voter intent (i.e. the true vote). Based on your writings, it must be (b). After reading your “ten reasons”, I can come up with ten reasons why you have never responded to my posts.

The “experts” whom you cite all have issues. You wrote: “Oh, let me count the ways. Almost all of this, by the way, is lifted from Mark Blumenthal’s outstanding Exit Poll FAQ”

Your first mistake was to believe all those discredited GOP talking points and to cite Mark Blumenthal as your source. You may not be aware that Mark was the original Mystery Pollster and has worked full-time since 2004 to debunk any references to exit polls as indicators of election fraud.

In June 2006, Robert F. Kennedy Jr. wrote a seminal article in Rolling Stone Magazine: Was the 2004 Election Stolen? In a pitiful attempt to debunk RFK, Salon’s Farhad Manjoo wrote Was the 2004 Election Stolen? No. Manjoo’s hit piece contained factual errors and omissions and was fully debunked by a number of analysts. Mark Blumenthal then attemped a defense of Manjoo and smeared RFK in this piece: Is RFK, Jr. Right About Exit Polls?

Here is My Response to the Mystery Pollster’s critique of RFK and an Open Letter to Mark Blumenthal of Pollster.com.

Now I will count the ways. My responses follow each of your statements as to why we should ignore exit polls.
NS
1. Exit polls have a much larger intrinsic margin for error than regular polls. This is because of what are known as cluster sampling techniques. Exit polls are not conducted at all precincts, but only at some fraction thereof. Although these precincts are selected at random and are supposed to be reflective of their states as a whole, this introduces another opportunity for error to occur (say, for instance, that a particular precinct has been canvassed especially heavily by one of the campaigns). This makes the margins for error somewhere between 50-90% higher than they would be for comparable telephone surveys.

RC
Not true. I should stop right here. Exit polls have a much smaller margin of error than pre-election polls. It stands to reason that exit polls are more accurate than pre-election polls because a) those polled know exactly who they voted for and b) in pre-election polls, respondents might change their mind – or not vote.

Regarding cluster samples, perhaps you are unaware that exit pollsters Edison-Mitofsky state in the notes to the National Exit Poll as well as in the NEP Methods Statement that exit poll respondents were randomly-selected and the overall margin of error was 1%. Adding the standard 30% cluster effect raises the calculated 0.86% MoE to 1.1%.

But I understand why you would claim that exit polls are inaccurate since you apparently believe election fraud on voting machines is non-existent. After all, you never discuss the fraud factor. So of course you would conclude that the exit poll discrepancies from the recorded vote indicate that the polls are wrong. The fundamental problem with all your analysis is that you fail to consider the possibility that the polls were close to the truth and the discrepancies from the recorded vote were the result of systematic election fraud. But that is typical of mainstream media pundits. If they discussed the fraud factor, they would be out of a job.

You apparently believe that the final Likely Voter (LV) pre-election polls (which are a subset of all Registered Voters (RV) interviewed) are spot-on because they match the bogus recorded vote. But LV polls always understate Democratic turnout, since the vast majority of voters who fail to pass the Likely Voter Cutoff Model are young, newly registered Democrats. That’s one reason why Democrats average higher in the RV polls than in LVs and the media avoids the RVs in the month prior to the election. Another factor is that telephone polls miss cell-phone users who are young and Democratic. Most important, pre-election polls have been shown to overweight Republicans based on prior bogus recorded votes.

NS
2. Exit polls have consistently overstated the Democratic share of the vote. Many of you will recall this happening in 2004, when leaked exit polls suggested that John Kerry would have a much better day than he actually had. But this phenomenon was hardly unique to 2004. In 2000, for instance, exit polls had Al Gore winning states like Alabama and Georgia (!). If you go back and watch The War Room, you’ll find George Stephanopolous and James Carville gloating over exit polls showing Bill Clinton winning states like Indiana and Texas, which of course he did not win.

RC
There you go again, assuming that the recorded vote was fraud-free. Of course the Democrats always do better in the exit polls than in the recorded vote. But did you ever consider why? Perhaps you are unaware that millions of votes are uncounted in every election and the vast majority are Democratic (over 50% are in minority districts). The U.S. Census reported over 80 million net uncounted votes since 1968. You make the false assumption that the recorded vote is the True Vote. Uncounted votes alone put the lie to that argument, not to mention votes switched at the DREs and central tabulators.

You say Clinton did not win Indiana or Texas. How do you know? Can you provide proof that the voting machines were not tampered with? Perhaps you are unaware that in 1992 there were 9.4 million net uncounted votes, approximately 75% for Clinton. Clinton’s margins were very plausible. The exit polls indicated that he won Indiana by 53-30% (Perot had 16%) and Texas by 43-32% (Perot had 25%). But they were both likely stolen by Bush. Clinton lost Indiana (42.9-36.8%) by 138,000 votes (330,000 uncounted). He lost Texas (40.6-37.1%) by 215,000 (663,000 uncounted). So had all the votes been counted, Clinton would have won both states. Note that we are not even considering vote-switching from Clinton or Perot to Bush, just the uncounted votes.

In 1996, there were 8.7 million net uncounted votes – again, approximately 75% for Clinton. Clinton won the Indiana exit poll by 50-40%, but Dole won the recorded vote by 117,000, 47.1-41.6% (230,000 net uncounted). The Texas exit poll was tied at 46-46%, but Dole won by 280,000 votes, 48.8-43.8% (700,000 net uncounted). Again, had all the votes been counted, Clinton would have likely won both. And this does not include vote switching from Clinton or Perot to Dole, just the uncounted votes.

NS
3. Exit polls were particularly bad in this year’s primaries. They overstated Barack Obama’s performance by an average of about 7 points.

RC
You are apparently unaware of Rush Limbaugh’s “Operation Chaos” in which he advised Republicans to cross over in the Democratic primaries and vote for Hillary Clinton. His objective was to deny Obama the nomination. Obama easily won the all the caucuses in which voters were visually counted.

NS
4. Exit polls challenge the definition of a random sample. Although the exit polls have theoretically established procedures to collect a random sample — essentially, having the interviewer approach every nth person who leaves the polling place — in practice this is hard to execute at a busy polling place, particularly when the pollster may be standing many yards away from the polling place itself because of electioneering laws.

RC
You are apparently unaware that exit pollsters Edison-Mitofsky wrote in the notes to the 2004 National Exit Poll that respondents were randomly selected as they exited the polling booth. What is your definition of a random sample?

NS
5. Democrats may be more likely to participate in exit polls. Related to items #1 and #4 above, Scott Rasmussen has found that Democrats supporters are more likely to agree to participate in exit polls, probably because they are more enthusiastic about this election.

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

You quote a biased GOP pollster who never did an exit poll. There is no evidence that Democrats are more likely to participate. In fact, the historical data shows otherwise. You are resurrecting the reluctant Bush responder (rBr) hypothesis that was disproved by the exit pollster’s own data in each of the 2000, 2004 and 2008 elections. It is also contradicted by a linear regression analysis which showed that response rates were highest in partisan GOP precincts and Red states.

NS
6. Exit polls may have problems calibrating results from early voting. Contrary to the conventional wisdom, exit polls will attempt account for people who voted before Election Day in most (although not all) states by means of a random telephone sample of such voters. However, this requires the polling firms to guess at the ratio of early voters to regular ones, and sometimes they do not guess correctly. In Florida in 2000, for instance, there was a significant underestimation of the absentee vote, which that year was a substantially Republican vote, leading to an overestimation of Al Gore’s share of the vote, and contributing to the infamous miscall of the state.

RC
You are apparently unaware that exit pollsters Edison-Mitofsky claimed that their 2004 precinct design sample was near perfect.

Perhaps you are unaware of the fact that in the 2000 election, nearly 6 million ballots were never counted (a combination of spoiled, absentee and provisional) – and 75-80% were Gore votes – meaning that his True Vote margin was at least 3 million more than his recorded 540,000. And that is why Gore led the state exit poll aggregate by 50-45%.

You are either unaware or choose to ignore the fact that in Florida there were over 180,000 spoiled ballots (113,000 double and triple-punched and 65,000 underpunched) that were never counted – and 75% were Gore votes. You apparently believe the GOP con that the spoiled ballots were due to stupid voters. Why don’t you mention the thousands of Gore absentee ballots that were discarded? Perhaps you are unaware that it has been determined GOP election officials discarded Democratic absentee ballots and included GOP ballots that were filed after the due date. And what about the Palm Beach butterfly ballot in which thousands of Jews were fooled into voting for Buchanan?

If you really believe that Bush won both the national and Florida elections in 2000, then you must also believe that a) the tooth fairy exists, b) global warming is just a hoax and c) the economic meltdown was due to natural supply and demand forces and that the economic forecasting models were at fault. You ignore the strong evidence that the meltdown was due to corrupt global banksters gaming the financial system. And of course, you ignore the election fraudsters that have systematically gamed the computers to miscount votes and prevent millions of eligible citizens from voting. According to you, it is all just noise, never human corruption.

NS
7. Exit polls may also miss late voters. By “late” voters I mean persons who come to their polling place in the last couple of hours of the day, after the exit polls are out of the field. Although there is no clear consensus about which types of voters tend to vote later rather than earlier, this adds another way in which the sample may be nonrandom, particularly in precincts with long lines or extended voting hours.

RC
As a quant, you should ask how was it that Kerry led by 51-48% at 12:22am (13047 respondents) but Bush led at 1:00am at the final (13660) after just 613 additional respondents? It’s simple. The pollsters had to force the National to match the bogus recorded vote (Bush 50.7-48.3%). It was impossible – a total sham. It was Kerry who led the final unadjusted NEP by 51.7-47.0%.

Are you aware that final exit polls are always FORCED to match the recorded vote? The 2004 adjusted final National Exit Poll indicated that 43% (52.6 million) of 2004 voters were returning Bush voters and 37% Gore voters. But Bush only had 50.5 million voters in 2000 – and approximately 2.5 million died. So there could not have been more than 48 million returning Bush voters. If 47 million turned out, there had to be 5.6 million phantom Bush voters. How do you explain that?

In 2008, Obama won the unadjusted National Exit Poll (17836 respondents) by 61-37%. But the poll was forced to match the recorded 52.9-45.6%. Are you aware that Obama had 52.4% of 121 million votes recorded on Election Day and 59.2% of the 10 million recorded later?

NS
8. “Leaked” exit poll results may not be the genuine article. Sometimes, sources like Matt Drudge and Jim Geraghty have gotten their hands on the actual exit polls collected by the network pools. At other times, they may be reporting data from “first-wave” exit polls, which contain extremely small sample sizes and are not calibrated for their demographics. And at other places on the Internet (though likely not from Geraghty and Drudge, who actually have reasonably good track records), you may see numbers that are completely fabricated.

RC
Really? Are these fabricated? You are apparently unaware of the National Exit Poll timeline. Kerry led by 51-48% at 4:00pm (8349 respondents), 9:00pm (11027) and 12:22am (13047). Kerry led at the final 13660 respondents by 51.7-47.0%. But at approximately 1:00am, Kerry responders were flipped to Bush in order to force the poll to match the recorded vote.

NS
9. A high-turnout election may make demographic weighting difficult. Just as regular, telephone polls are having difficulty this cycle estimating turnout demographics — will younger voters and minorities show up in greater numbers? — the same challenges await exit pollsters. Remember, an exit poll is not a definitive record of what happened at the polling place; it is at best a random sampling.

RC
Perhaps you are unaware that high turnout is always good for the Democrats. That’s why the GOP is always trying to suppress the vote. The National Exit Poll indicates that Kerry won 57-62% of new voters and that Obama had 72% of new voters in 2008. But at least you now agree that exit polls are indeed random samples. Glad you corrected point #4.

NS
10. You’ll know the actual results soon enough anyway. Have patience, my friends, and consider yourselves lucky: in France, it is illegal to conduct a poll of any kind within 48 hours of the election. But exit polls are really more trouble than they’re worth, at least as a predictive tool. An independent panel created by CNN in the wake of the Florida disaster in 2000 recommended that the network completely ignore exit polls when calling particular states. I suggest that you do the same.

RC
I suggest that you do your homework. You will surely fail this Election Fraud Quiz. Exit polls are more trouble than they are worth? Yes, it’s true – for those who rig the elections. Perhaps you are unaware that the exit polls were the first indicators that the 2004 election was stolen. Nate, your problem is that you refuse to admit that Election Fraud is systemic – or that it even exists. You want your readers to believe that the recorded vote accurately depicts true voter intent and that the exit polls are always wrong. Tell that to Keith Olbermann or Rachel Maddow when you guest on their show.

In 2008, Obama had a recorded 52.9% share and won by 9.5 million votes. But he had to overcome the 5% fraud factor. You are probably unaware that the unadjusted National Exit poll indicates that he won 61% of 17,836 respondents. Obama had 58.0% in the unadjusted state exit poll weighted aggregate (82,388 respondents) winning by 23 million votes – exactly matching the True Vote Model which used the same adjusted final NEP vote shares.

The Bush/Kerry 46/37% returning voter weights in the adjusted final 2008 NEP implied that there were 12 million more returning Bush than Kerry voters – an impossible 103% turnout of living Bush voters. The True Vote Model calculated a feasible 47/40% Kerry/Bush split. Bush won the bogus recorded vote by just 3 million but Kerry won the True Vote by 10 million.

And you would also surely agree that there could not have been 5 million returning third-party voters indicated by the final 2008 NEP since just 1.2 million were recorded in 2004.

We have the 1988-2008 unadjusted state and national exit polls from the Roper website (nearly 500,000 exit poll respondents). The Democrats led the polls by 52-42%; but just 48-46% in the recorded vote. That’s an awful lot of Reluctant Republican Responders, yes?

Presidential election fraud is consistent and predictable. The unadjusted state and national exit polls have matched the True Vote Model in every election since 1988.

You are probably unaware that of the 274 state exit polls in the 1988-2008 presidential elections, 126 exceeded the margin of error (including a 30% cluster factor). Only 14 would be expected to exceed the MoE at the 95% confidence level. Of the 126, 123 “red-shifted” to the Republican and THREE to the Democrat. The probability is 5E-106. Can you explain it?
P= 0.0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 000000000 00000000000 0000000000 000005

Finally, Nate, you need to gain a new perspective on exit polls.

—————————————————-
Track Record: Election Model Forecast; Post-election True Vote Model

2004 Election Model (2-party shares)
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%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

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

 
1 Comment

Posted by on November 17, 2012 in Media, Rebuttals

 

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Vote Swing vs. Exit Poll Red-Shift: Killing the “Zero slope, no election fraud” Canard

Swing vs. Red-Shift: Killing the “Zero slope, no election fraud” Canard

Richard Charnin
April 4, 2012

Track Record:2004-2012 Forecast and True Vote Models https://docs.google.com/document/d/1zRZkaZQuKTmmd_H0xMAnpvSJlsr3DieqBdwMoztgHJA/edit

After the 2004 election, exit poll naysayers claimed that the near-zero correlation between Swing (the change in Bush vote share from 2000 to 2004) and the 2004 Exit Poll Red shift “kills the fraud argument”.

The pollsters provided a swing vs. red-shift scatterchart of 1250 precincts. They pointed to the flat (zero slope) regression line as evidence that the election was not fraudulent and implied that a positively sloped regression would have indicated fraud. But they were wrong in using 2000 and 2004 recorded vote data as the baseline in calculating swing. If they had used the 2000 and 2004 unadjusted exit polls, it would have shown that the 2004 election was fraudulent – by their definition. The pollsters used bogus recorded vote data to prove there was no fraud in 2004 – a circular argument if there ever was one.

http://img303.imageshack.us/img303/3831/swingshift2zb.jpg

There were nearly six million uncounted votes in 2000 and four million in 2004. That fact alone is proof that the True Vote differred from the recorded vote in both elections.

Using recorded vote swing as the basis to “prove” that the 2004 election was fraud-free was misleading disinformation. It was meant to cast doubt on the state and national exit polls which indicated that Kerry had 51-52%.

However, if unadjusted 2000 and 2004 state exit polls are used as a proxy for the True Vote, there was a strong positive correlation. Swing is now defined as the CHANGE in the 2-party unadjusted state exit poll share from the PREVIOUS election. Red-shift is the DIFFERENCE between the 2-party unadjusted state exit poll and the recorded share in the CURRENT election.

In the 2004 Exit Poll Evaluation Report, the pollsters “Zero slope = No fraud” argument was refuted their by their own data. The WPE (Within Precinct Error) correlation matrix showed a relatively high 0.48 correlation for 2000-2004. The correlation was a much lower .05 for 1996-2000.

This graph summarizes the discrepancies between the1988-2008 State Exit Polls vs. the corresponding Recorded Votes

The E-M WPE correlations table below indicates that the 1988, 1992 and 2004 elections (Bush 1 and 2 were incumbents) were fraudulent. But unadjusted exit poll data shows that the 1996 and 2000 elections were fraudulent as well (Clinton did significantly better than his recorded margin). In the 1988-2008 presidential elections, the Democrats led the average unadjusted exit polls by a solid 52-42%, but won the recorded vote by just 48-46%, an 8% margin discrepancy.

Edison-Mitofsky WPE Correlations
(2004 Exit Poll Evaluation Report)
Year 2000 1996 1992 1988
2004 0.48 0.19 0.35 0.30
2000 …… 0.05 0.12 0.23
1996 ….. ……. 0.15 0.26
1992 …. ……. ……. 0.29

1992-2008 SWING VS. RED SHIFT
The analysis uses unadjusted 1988-2008 state exit polls. The average (bogus) recorded vote correlation was .01. The average unadjusted exit poll correlation was 0.47.

SwingCalc 1992 1996 2000 2004 2008
Recorded.. 0.09 0.06 0.20 -0.16 -0.14
Exit Poll…. 0.65 0.10 0.57 0.62 0.38

Swing and red shift calculations are shown in these tables and graphs:
https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=20

RECORDED VOTE PREMISE FALLACY: “RELUCTANT BUSH RESPONDER” AND “FALSE RECALL”
The exit pollster’s initial explanation for the discrepancies was that non-response bias skewed the exit polls – the so-called reluctant Bush responder (rBr). When that argument was refuted, they tried “Swing vs. Red shift”. Finally, “False Recall” was promoted to explain the impossible number of returning Bush 2000 voters implied by the 2004 National Exit Poll. In each case, the recorded votes were used as the baseline, rather than total votes cast. Uncounted votes and an estimate of the True Vote were ignored.

To use a fraudulent recorded vote as the basis for calculating swing and then claim that the near-zero correlation “kills the fraud argument” is a logical fallacy. Elections can be fraudulent or fraud-free regardless of the correlation. The scatter graphs below kill the naysayer 2004 Swing/ Red shift “no slope, no fraud” canard.

1988-2008 UNADJUSTED PRESIDENTIAL STATE EXIT POLLS: DEMOCRATS WIN BY 52-42%
In the 1988-2008 elections, Democratic presidential candidates did nearly 8% better in unadjusted exit polls (52-42%) than in the recorded vote (48-46%). The discrepancies were due to a combination of uncounted votes and electronic vote switching. The uncounted vote rate trend has declined, but electronic vote switching has more than taken up the slack.

FORBIDDEN: RAW PRECINCT EXIT POLL DATA
Unfortunately, the National Election Pool (NEP) mainstream media consortium has never released unadjusted precinct exit poll data. Their transparent claim is the need for exit poll respondent confidentiality. It’s a misleading canard; exit poll respondents do not reveal personal information.

In their 2004 report, the pollsters provided average Within Precinct Error (WPE) statistics for the 1988-2004 exit polls. That report provided more than enough historical information to hoist the NEP, the pollsters and the naysayers on their own petard.

1992-2004 SWING V. RED SHIFT (WPE) CONSOLIDATED GRAPH
True and Recorded Vote Swing v. Red shift (based on 238 state exit polls).
http://richardcharnin.com/TrueVoteElectionCalculator_19922004_image001

In 1992 the WPE was 5.4. The correlations: 0.21 Recorded Vote and 0.40 True Vote. Unadjusted exit poll correlation: -0.20. There were nearly 11 million uncounted votes.
http://richardcharnin.com/SwingRedShift_1992_image001.gif

In 1996 the WPE was 1.9. The Recorded Vote correlation was nearly zero (.02). The True Vote correlation was 0.43. Unadjusted exit poll correlation: 0.10. There were nearly 10 million uncounted votes.
http://richardcharnin.com/SwingRedShift_1996_image001.gif

In 2000 the exit poll discrepancies (2.0 WPE) were much lower than in 2004. But the 0.38 Recorded vote correlation was higher than 2004. The True Vote correlation was 0.66. Unadjusted exit poll correlation: 0.57. There were nearly 6 million uncounted votes.
http://richardcharnin.com/SwingRedShift_2000_image001.gif

In 2004, the WPE was 7.4. Recorded Vote correlation: 0.11. True Vote correlation was 0.56. Unadjusted exit poll correlation: 0.62. There were close to 4 million uncounted votes.
http://richardcharnin.com/SwingRedShift_2004_image001.gif

In 2008, the WPE was at its highest: 10.3. The regression lines diverged, as indicated by the correlation ratios: -0.38 for Recorded Vote vs. 0.42 for the True Vote. Unadjusted exit poll correlation: 0.60.
http://richardcharnin.com/SwingRedShift_2008_image001.gif

In 2004, the average Battleground State Recorded vote correlation was 0.45; it was near zero in Democratic and Republican states. But the exit poll discrepancies (WPE) in the Democratic states were higher than the Battleground states – another refutation of the premise.

THE BATTLEGROUND STATES
http://richardcharnin.com/SwingRedShift_BG_image001.gif
Democrat
http://richardcharnin.com/SwingRedShift_Dem_image001.gif
Republican
http://richardcharnin.com/SwingRedShift_Rep_image001.gif

1988-2008 UNADJUSTED STATE EXIT POLLS
http://richardcharnin.wordpress.com/2011/11/13/1988-2008-unadjusted-state-exit-polls-statistical-reference/

This graph summarizes the discrepancies between the1988-2008 State Exit Polls vs. the corresponding Recorded Votes

-Obama had 58.0% in the unadjusted state exit poll aggregate and 61% in the unadjusted National Exit Poll (exactly matching the True Vote Model).
-Kerry won the state exit polls by 51-47.6% and had 51.7% in the National (2% lower than the True Vote Model).
-Gore won the states by 50-45%, a 6 million vote margin. It was a close match to the TVM).
-Dukakis won the unadjusted exit polls in battleground states by 51-47%. He lost the recorded vote by 53-45% (7 million votes).

http://richardcharnin.com/SwingVsRedshift1992to2004.htm

 
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Posted by on November 2, 2011 in Election Myths, Rebuttals

 

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The Unadjusted 2004 National Exit Poll: Closing the Book on the returning Gore voter “False Recall” Myth

The Unadjusted 2004 National Exit Poll: Closing the Book on the returning Gore voter “False Recall” Myth

Richard Charnin (TruthIsAll)

Oct. 17, 2011

“False recall” was the final argument promoted by exit poll naysayers to explain away the mathematically impossible 43/37% returning Bush/Gore voter mix in the 2004 Final National Exit Poll (NEP). It was an attempt to cast doubt on the preliminary NEP and the unadjusted state exit poll aggregate (Kerry won by 51-48%). It was a last-ditch attempt to maintain the fiction that Bush really did win fairly and that the unadjusted and preliminary exit polls “behaved badly”. The bottom line: exit polls should not be trusted (or even used) here in the U.S. – but they work fine in far away places like Ukraine and Georgia.

“False recall” stated that the mathematically impossible Final NEP mix was due to returning Gore voters who had the temerity of misstating their past vote to the exit pollsters, claiming they actually voted for Bush. This strange behavior was apparently due to faulty memory – a “slow-drifting fog” unique to Gore voters and/or a desire to be associated with Bush, the official “winner” of the 2000 election. The fact that he actually lost by 540,000 recorded votes was dismissed as irrelevant.

The unadjusted 2004 NEP on the Roper website should finally put “false recall” to eternal rest. Of the 13,660 respondents, 7064 (51.7%) said they voted for Kerry, 6414 (47.0%) for Bush and 182 (1.3%) for other third-parties. The NEP is a subset of unadjusted state exit polls (76,000 respondents). The weighted average of the aggregate state polls indicated that Kerry was a 51.1-47.5% winner.

1988-2008 State and National Unadjusted Exit Polls vs. Recorded Votes

This graph summarizes the discrepancies between the1988-2008 State Exit Polls vs. the corresponding Recorded Votes

But what did the respondents really say about how they voted in 2000? Of the 3,182 respondents who were asked, 1,222 (38.4%) said they voted for Gore, 1,257 (39.5%) said Bush, 119 (3.75%) said Other. The remaining 585 (18.4%) were either first-timers or others who did not vote in 2000. When the actual Bush/Gore 39.5/38.4% returning voter mix and the 12:22am preliminary NEP shares are used to calculate the total vote shares, Kerry has 51.7% – exactly matching the unadjusted NEP. But Kerry must have done better than that. The unadjusted 2000 exit poll indicated that Gore won by 5-6 million, so there had to be more returning Gore voters than Bush voters in 2004.

Although there is no evidence that Gore voters came to love Bush (even after he stole the 2000 election), or that returning Gore voters were more forgetful and dishonest than Bush voters, the “false recall” canard has been successful in keeping the “bad exit poll” myth alive. Such is the power of the mainstream media.

“False recall” was the equivalent of the famous “Hail Mary” touchdown pass. It followed the “reluctant Bush responder” (rBr) and “Swing vs. Red-shift” arguments, both of which had been refuted (see the links below).

Since unadjusted 2004 NEP data was not provided in the mainstream media, “false recall” was a possibility, however remote and ridiculous the premise. It was a very thin reed that has been surprisingly resilient. Apparently it still is to Bill Clinton, Al Franken and Michael Moore. Not to mention the mainstream “liberal” media who continue to maintain the fiction that Bush really did win.

We now have absolute proof that in order to match the recorded vote, the exit pollsters had to adjust the NEP returning voter mix from the (already adjusted) 12:22am timeline; the 41/39% mix was changed to an impossible 43/37%. But they had to do more than just that; the pollsters also had to inflate the 12:22am Bush shares of new and returning voters to implausible levels.

The earlier proof that the returning voter mix was adjusted in the Final NEP (even though it was mathematically impossible) to match the recorded vote is confirmed by the data itself. Now, with the actual responses to the question “Who did you vote for in 2000″, there is no longer any question as to whether Gore voters forgot or lied or were in a “slow moving” fog. The “pristine” results show that the actual Bush/Gore returning voter mix (39.5/38.4%) differs substantially from the artificial, mathematically impossible Final NEP (43/37%) mix.

https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=7

This is irrefutable evidence that the Final NEP is not a true sample. Of course, we knew this all along. The exit pollsters admit it but they don’t mention the fact that it’s standard operating procedure to force ALL exit polls to match the recorded vote. This is easily accomplished by adjusting returning voter turnout from the previous election to get the results to “fit”. Of course, the mainstream media political pundits never talk about it. So how would you know?

Political sites such as CNN, NY Times and realclearpolitics.com still display the 2004 Final National Exit poll and perpetuate the fiction that Bush won. But it’s not just the 2004 election. ALL FINAL exit polls published by the mainstream media (congressional and presidential) are forced to match the recorded vote. Unadjusted exit polls don’t “behave badly” – but the adjusted Finals sure do.

The unadjusted 1988-2008 state and national exit polls are now in the True Vote Model:
https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=34

False recall followed the “reluctant Bush responder” (rBr) and “Swing vs. Red-shift” arguments (see links below), both of which have been refuted.
http://richardcharnin.com/2004FalseRecallUnadjEP.htm
http://richardcharnin.com/FalseRecallRebuttal.htm
http://richardcharnin.com/ConversationAboutFalseRecall.htm
http://richardcharnin.com/FalseRecallPetard.htm
http://richardcharnin.com/SwingVsRedshift1992to2004.htm
http://richardcharnin.com/SwingRedShiftHoisted.htm

The Final NEP is mathematically impossible since the number of returning Bush voters implied by the 43% weighting is 52.6 million (122.3 million votes were recorded in 2004). Bush only had 50.46 million recorded votes in 2000. Approximately 2.5 million died, therefore the number of returning Bush voters must have been less than 48 million. Assuming 98% turnout, there were 47 million returning Bush voters, 5.6 million fewer than implied by the Final NEP.

Based on 12:22am NEP vote shares, Kerry wins by 10m votes with 53.2% – assuming equal 98% turnout of returning Bush and Gore voters. He wins by 7 million given 98/90% Bush/Gore turnout. Total votes cast in 2000 and 2004 are used to calculate returning and new voters.

The Kerry vote share trend was a constant 51% at the 7:33pm (11027) and 12:22am (13047) time lines. Kerry gained 1085 votes and Bush 1025 from 7:33pm to 12:22am. Third-parties declined by 90 due to the 4% to 3% change in share of the electorate.

False recall is disproved in a number of ways.

1. False recall is based on a 3168 subset of the Final NEP 13660 respondents who were asked how they voted in 2000. But all 13660 were asked who they JUST voted for in 2004.

2. In the preliminary 12:22am NEP of 13047 respondents, approximately 3025 of the 3168 were asked how they voted in 2000. This estimate was derived by applying the same 95.4% percentage(13047/13660) to the 3168. The weighted result indicated that returning Bush voters comprised 41% (50.1m) of the electorate. The Final NEP “Voted in 2000″ cross tab (and all other cross tabs) was forced to match the recorded vote. This required that 43% (52.6m) of the electorate had to be returning Bush voters. The increase in the returning Bush 2000 voter share of the 2004 electorate (from 41% at 12:22am to 43% in the Final) was clearly impossible since it was based on a mere 143 (25% of 613) additional respondents.

a) There was an impossible late switch in respondent totals. Between 7:33pm and 12:22am, the trend was consistent: Kerry gained 254 votes, Bush 239. Third-parties declined by 13. But between 12:22am and the Final, Kerry’s total declined by 13, Bush gained 182 and third party lost 26.

b) It was also impossible that returning Bush voters would increase from 41% to 43% (122) and returning Gore voters would decline from 39% to 37% (8). Regardless, the Final 43/37% split was mathematically impossible. It implied there were 5.6 million more returning Bush voters than could have voted, assuming that 47 (98%) of the 48 million who were alive turned out.

c) The increase in Bush’s share of new voters from 41% to 45% (+31) was impossible; there were just 24 additional new voters. Kerry lost 2.

d) The changes in the Gender demographic were impossible. The Kerry trend was consistent at the 11027 and 13047 respondent time lines. Kerry gained 1085 and Bush 1025. Third-parties declined by 90.

e) There was an impossible shift to Bush among the final 613 respondents (from 13047 to 13660). Kerry’s total declined by 99, while Bush gained 706. Third-parties gained 6. That could not have happened unless weights and vote shares were adjusted by a human. In other words, it could not have been the result of an actual sample.

3. False recall assumes that 43/37% was a sampled result. But we have just shown that it is mathematically impossible because a) it implies there were 5.6 million more returning Bush voters than could have voted in 2004 and b) the 41/39% split at 12:22am could not have changed to 43/37% in the Final with just 143 additional respondents in the “Voted 2000″ category.

4. The exit pollsters claim that it is standard operating procedure to force the exit poll to match the recorded vote. The Final was forced to match the recorded vote by a) adjusting the returning Bush/Gore voter mix to an impossible 43/37% and b) simultaneously increasing the Bush shares of returning Bush, Gore and new voters to implausible levels using impossible adjustments.

5. Just reviewing the time line, it is obvious that the exit pollsters do in fact adjust weights and vote shares to force a match the recorded vote. It’s SOP. But it immediately invalidates the naysayer claim that the 43/37 split was due to Gore voter false recall. No, it was due to exit poll data manipulation.

6. Which is more believable: a) that the exit pollsters followed the standard procedure of forcing the poll to match the vote, or b) that at least 8% more returning Gore voters claimed they voted for Bush in 2000 than returning Bush voters claimed they voted for Gore?

7. As indicated above, there was a maximum number of returning Bush 2000 voters who could have voted in 2004: the ones who were still living. So the 43/37% split is not only impossible, it is also irrelevant. It doesn’t matter what the returning voters said regarding their 2000 vote. We already know the four-year voter mortality rate (5%) and maximum LIVING voter turnout (98%).

8. False recall assumes that the returning voter mix is a sampled result. But the 4% increase in differential between returning Bush and Gore voters (from 2% to 6%) is impossible since the total number of respondents increased by just 143 (from 3025 to 3168).

9. The false recall claim is based on NES surveys of 500-600 respondents that indicate voters misstate past votes. But the reported deviations are based on the prior recorded vote – not the True Vote. There have been an average of 7 million net uncounted votes in each of the last eleven elections. The majority (70-80%) were Democratic. In 2000, there were 5.4 million. When measured against the True Vote (based on total votes cast, reduced by mortality and voter turnout), the average deviations are near zero. Therefore, the NES respondents told the truth about their past vote.

10. The 2006 and 2008 Final National Exit Polls were forced to match the recorded vote with impossible 49/43% and 46/37% returning Bush/Kerry voter percentages. The 2008 Final required 12 million more returning Bush than Kerry voters. These anomalies are just additional proof that false recall is totally bogus – a final “Hail Mary” pass to divert, confuse and cover-up the truth. The exit pollsters just did what they are paid to do.

 
 

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