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.