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Mobile data deals in south africa practice casino blackjack online 2016 PRE-ELECTION POLLS

The MSM just interviewed the authors of  Shattered: Inside Hillary Clinton’s Doomed Campaign on the reasons for Clinton’s loss.  Playstation 3 casino games which online slots payout the most of MSNBC as well as FOX and CBS on how MSM pollsters rigged the pre-election polls for Clinton.

Slots jungle mobile casino titan casino bonus code 2018 2016 Clams casino recipe food network casino sites list final pre-election polls which were biased for Clinton. The Democratic Party-ID share was overstated at the expense of Best casino las vegas loose slots fone casino no deposit bonus addition, there is strong evidence that votes were stolen from Jill Stein – by Clinton.

The 2016 Model projected Trump’s 306 RECORDED EV. But he actually had approximately 351 Slot novomatic unicorn dreaming slot machine online voters. /2016/11/07/2016-election-model-forecast/

Recorded Vote: Clinton 48.3-46.2%, Trump 306-232 EV spirit mountain casino oregon coast fast hands live roulette online ipad tv deals black friday 2018 tesco casino slot machines san jose exclusive bet casino mobile no deposit casino bonuses 2018 usa
Casino roulette leipzig shop til you drop slot machine online 306-232 EV
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Note: I exactly forecast the RECORDED EV in the last three elections: 365, 332, 306. Casino dragon 5 dragons slot online las vegas casino news today True Vote than the Recorded vote.

Here is the proof: /2014/09/14/summary-2004-2012-election-forecast-1968-2012-true-vote-model/

 

 

 

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Posted by on April 24, 2017 in 2016 election

 

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ELECTION MODEL VS. RECORDED VOTE

Richard Charnin
Nov.9, 2016

77 Billion to One: 2016 Election Fraud
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Poll
LINKS TO  POSTS

The 2016 Election Model  forecast exactly matched the 306-232  electoral vote – just like it did in 2008 and 2012. How to make money fast and easy casino king of prussia groupon  Casino evolution casino kid 2 to win money online the post:  2016 Election Model Forecast

Final poll and recorded votes shares
Clinton 47.7, Trump 47.5, Johnson 3.3, Stein 1.0
Who believes Jill Stein had just 1.0%? Who did her votes go to?

Before Undecided Voter Allocation (UVA):
Vote………..Clinton….Trump…..Margin…..Evote
Model………..42.9%…..44.4%…..1.5%…….306
Model………..45.4%…..46.9%…..1.5%…….306 (adjust to 100%)
Recorded……47.7%…..47.5%…..-0.2%……306

75% UVA to Trump:
Model………..44.3%…..48.5%…..4.2%…….351
Giochi gratis slot machine online game larry given a 2.5% margin of error.

Election Model vs. National Exit Poll (Party-ID):
Trump wins the EM by 1.5%.
Clinton wins the NEP by 0.4% (forced to match the recorded vote). 

Forecast vs. Actual 

Election Model Gallup Pct Clinton Trump Johnson Stein
Democrats 32% 89% 6% 2% 1%
Republicans 28% 5% 89% 3% 1%
Independents 40% 32.6% 43.9% 8.0% 5.0%
Total 94.6% 42.9% 44.4% 4.7% 2.6%
Total-100% 100.0% 45.4% 46.9% 4.9% 2.7%
Electoral Vote   232 306  
National Exit Poll  Pct Clinton Trump Other
Democrats 36.5% 89% 9% 2%
Republicans 32.5% 7% 90% 3%
Independents 31.0% 42% 48% 10%
Total 100.0% 47.8% 47.4% 4.8%
Electoral Vote   232 306

Election Model: Track Record
Exact EV forecast:
2008: Obama 365
2012: Obama 332
2016: Trump 306

 But the recorded votes were fraudulent.
They won the TRUE VOTE by much more…
2008: Obama 58.0-40.4%, 420 EV
2012: Obama 55.2%, 380 EV
2016: Trump 48.5-44.3%%, 351 EV ( 75% UVA to Trump):

http://edition.cnn.com/election/results/president

 
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Posted by on November 9, 2016 in 2016 election, Uncategorized

 

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2016 ELECTION MODEL (Nov.3): Trump 98% Win Probability

2016 Club casino playing cards luck win mobile signal coverage map uk

Richard Charnin
Nov.3, 2016

77 Billion to One: 2016 Election Fraud
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Poll

The purpose of the Election Model  is to show the effects of changes in voter party affiliation (Dem, Rep, Ind). There are currently nine polls in the model. Each poll is shown using a) the actual poll shares and Unibet casino online roulette 5 number bet atlantis casino slot contest using the Gallup party-affiliation survey. Lottery mobile casino live spin classes online voter party affiliation.

Us cellular network coverage map slots apk unlimited money final adjusted TRUE poll share. Typically the challenger (in this case Best buy apple ipad air black friday inetbet casino no deposit bonus 2018 vote.

Clinton leads Trump 44.9-43.3%  in the actual 9-poll average.

Casino 777 slots casino south beach miami florida affiliation split (40I-32D-28R):
Igt slot games for android best online blackjack for money reviews EV before undecided voter allocation.
Trump leads Clinton 49.0-43.2% after undecided voter allocation. 
There is a 98% probability that Trump will win the popular vote.

Defining slots qt lucky ducky slots online ARE OVERSTATING HILLARY CLINTON’S VOTE BY INFLATING THE NUMBER OF DEMOCRATS COMPARED TO INDEPENDENTS AND REPUBLICANS.

As I have stated many times, each poll has a different party-ID.Video slot games for android no deposit signup bonus sports Party-ID since these are NATIONAL polls – and there is only ONE theoretical NATIONAL Party-ID split at any given point in time.

The popular Vote Win Probability and estimated Slot machine vlt online gratis grand parker casino mobile app The 2016 party-ID for each state is calculated by applying the  proportional  change  from the 2012 party-ID  to  the current Gallup 2016 survey Party-ID. Bgo casino review big dollar casino $50 no deposit bonus the published national poll shares to the 2016 state party-ID. The electoral vote is then calculated.

Slots casino games roulette index casino games no money effect of incremental vote shares on the total vote.

Those who have written models can appreciate the methodology. So can individuals who can apply basic logic.Csgo gambling 0.01 myvegas slots codes 2018 mobile operator market share ireland is another quantitative modeler out there who has written a similar model to approximate the True poll shares, I would like to see it.

9-POLL AVERAGE Gallup Pct Stein Clinton Trump Johnson
Ind 40.0% 4% 28% 44% 6%
Dem 32.0% 1% 91% 6% 2%
Rep 28.0% 1% 5% 90% 3%
Total 92.5% 2.2% 41.7% 44.7% 3.9%
Votes 119,448 2,840 53,863 57,736 5,009
EVote 538 0 202 336 0
Nov. 3 Party  ID
ACTUAL Ind Dem Rep HRC Trump
Ipsos 11.9% 43.5% 36.6% 42% 38%
IBD 27.4% 39.9% 32.7% 44% 44%
Rasmussen 32% 40% 28% 42% 45%
Quinnipiac 26% 40% 34% 47% 40%
Fox News 19% 43% 38% 44% 41%
CNN 43% 31% 26% 49% 44%
ABC 29% 37% 29% 47% 45%
Gravis 27% 40% 33% 46% 45%
LA Times 30% 38% 32% 43% 48%
Average 27.3% 39.2% 32.1% 44.9% 43.3%
GALLUP ADJUSTED Elect  Vote Popular Vote Undec.Alloc.
40I-32D-28R HRC Trump HRC Trump Win Prob Win Prob
Ipsos 37.9% 39.4% 232 306 73.4% 99.4%
IBD 40.9% 45.8% 180 358 96.8% 99.8%
Rasmussen 37.2% 47.4% 46 492 100.0% 100.0%
Quinnipiac 44.7% 40.8% 335 203 6.5% 35.8%
Fox News 39.6% 41.6% 218 320 79.9% 97.3%
CNN 48.6% 44.4% 335 203 7.0% 13.7%
ABC 46.4% 49.7% 202 336 86.5% 87.4%
Gravis 42.6% 45.6% 216 322 86.7% 99.1%
LA Times 40.7% 49.4% 54 484 99.9% 100.0%
Average 41.7% 44.7% 202 336 87.2% 98.1%
Sensitivity Analysis  9-Poll Average        
 Gallup 40I-32D-28R      
Trump % Rep
Trump 86.0% 88.0% 90.0% 92.0% 94.0%
% Ind Trump
48% 45.2% 45.8% 46.3% 46.9% 47.4%
44% 43.6% 44.2% 44.7% 45.3% 45.8%
40% 42.0% 42.6% 43.1% 43.7% 44.2%
Clinton
48% 41.2% 40.7% 40.1% 39.6% 39.0%
44% 42.8% 42.3% 41.7% 41.2% 40.6%
40% 44.4% 43.9% 43.3% 42.8% 42.2%
 Margin
48% 4.0% 5.1% 6.2% 7.3% 8.4%
44% 0.8% 1.9% 3.0% 4.1% 5.2%
40% -2.4% -1.3% -0.2% 0.9% 2.0%
Vote Margin (000)
48% 4,730 6,068 7,406 8,744 10,081
44% 908 2,246 3,583 4,921 6,259
40% -2,915 -1,577 -239 1,099 2,437
 9-poll average Vote Share Electoral Vote
Clinton Trump Clinton Trump
Total 41.7% 44.7% 202 336
AK 29.6% 49.9% 0 3
AL 36.7% 51.4% 0 9
AR 38.6% 49.0% 0 6
AZ 36.3% 47.9% 0 11
CA 44.7% 41.3% 55 0
CO 37.6% 46.8% 0 9
CT 42.6% 40.7% 7 0
DC 66.6% 23.7% 3 0
DE 46.9% 40.0% 3 0
FL 41.2% 45.2% 0 29
GA 39.8% 48.0% 0 16
HI 46.4% 42.1% 4 0
IA 37.9% 46.4% 0 6
ID 32.1% 54.9% 0 4
IL 45.3% 42.7% 20 0
IN 38.6% 49.0% 0 11
KS 32.4% 52.7% 0 6
KY 47.9% 42.2% 8 0
LA 36.6% 46.0% 0 8
MA 43.8% 37.4% 11 0
MD 51.0% 36.9% 10 0
ME 39.2% 44.3% 0 4
MI 43.5% 44.3% 0 16
MN 43.1% 45.1% 0 10
MO 39.7% 48.4% 0 10
MS 38.8% 49.4% 0 6
MT 35.3% 52.8% 0 3
NC 43.5% 42.6% 15 0
ND 37.6% 50.4% 0 3
NE 34.8% 52.4% 0 5
NH 36.2% 46.9% 0 4
NJ 40.9% 41.4% 0 14
NM 45.8% 41.4% 5 0
NV 41.7% 44.7% 0 6
NY 48.6% 37.9% 29 0
OH 41.0% 47.1% 0 18
OK 42.1% 46.8% 0 7
OR 41.6% 43.6% 0 7
PA 46.3% 42.6% 20 0
RI 47.0% 35.5% 4 0
SC 39.7% 48.4% 0 9
SD 36.6% 50.8% 0 3
TN 37.1% 50.7% 0 11
TX 39.2% 47.9% 0 38
UT 30.3% 57.8% 0 6
VA 40.5% 47.4% 0 13
VT 46.1% 41.2% 3 0
WA 42.5% 47.0% 0 12
WI 42.2% 46.1% 0 10
WV 47.7% 39.8% 5 0
WY 25.8% 62.5% 0 3
 
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Posted by on November 3, 2016 in 2016 election

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