Posted on 03/15/2004 2:30:03 PM PST by Momaw Nadon
State | % Chance of Bush Winning | Bush Electoral Votes | Kerry Electoral Votes |
Alabama | 92.0 | 9 | 0 |
Alaska | 93.0 | 3 | 0 |
Arizona | 73.0 | 10 | 0 |
Arkansas | 67.0 | 6 | 0 |
California | 17.0 | 0 | 55 |
Colorado | 80.0 | 9 | 0 |
Connecticut | 13.0 | 0 | 7 |
Delaware | 23.0 | 0 | 3 |
District of Columbia | 1.0 | 0 | 3 |
Florida | 62.0 | 27 | 0 |
Georgia | 91.0 | 15 | 0 |
Hawaii | 13.0 | 0 | 4 |
Idaho | 95.0 | 4 | 0 |
Illinois | 18.0 | 0 | 21 |
Indiana | 87.0 | 11 | 0 |
Iowa | 46.0 | 0 | 7 |
Kansas | 92.0 | 6 | 0 |
Kentucky | 87.0 | 8 | 0 |
Louisiana | 83.0 | 9 | 0 |
Maine | 35.0 | 0 | 4 |
Maryland | 17.5 | 0 | 10 |
Massachusetts | 5.0 | 0 | 12 |
Michigan | 37.0 | 0 | 17 |
Minnesota | 31.0 | 0 | 10 |
Mississippi | 92.0 | 6 | 0 |
Missouri | 63.0 | 11 | 0 |
Montana | 91.0 | 3 | 0 |
Nebraska | 95.0 | 5 | 0 |
Nevada | 65.0 | 5 | 0 |
New Hampshire | 59.0 | 4 | 0 |
New Jersey | 17.0 | 0 | 15 |
New Mexico | 58.0 | 5 | 0 |
New York | 15.0 | 0 | 31 |
North Carolina | 82.0 | 15 | 0 |
North Dakota | 95.0 | 3 | 0 |
Ohio | 65.0 | 20 | 0 |
Oklahoma | 95.0 | 7 | 0 |
Oregon | 36.0 | 0 | 7 |
Pennsylvania | 49.0 | 0 | 21 |
Rhode Island | 5.0 | 0 | 4 |
South Carolina | 87.0 | 8 | 0 |
South Dakota | 95.0 | 3 | 0 |
Tennessee | 77.0 | 11 | 0 |
Texas | 94.0 | 34 | 0 |
Utah | 95.0 | 5 | 0 |
Vermont | 7.0 | 0 | 3 |
Virginia | 88.0 | 13 | 0 |
Washington | 35.0 | 0 | 11 |
West Virginia | 49.0 | 0 | 5 |
Wisconsin | 47.0 | 0 | 10 |
Wyoming | 95.0 | 3 | 0 |
Totals | 278 | 260 |
Bush ISN"T going to lose in Missouri!!
We will be able to relax on Wed. after the election, unless the Dem Vote Fraud Machine is working overtime this year.
However, my expected value matches yours. I'll have to try it again over the weekend with more iterations and see why we're so different. One reason may be that I'm not using a Monte Carlo tool, I'm using home-grown randomization in MS Access. I'll try using some decision tools and see how they differ. You'll see from earlier posts that a 51-node decision tree is too much for my tools. I'll try running an analysis using my 9 supernode tree and see what comes out.
-PJ
Can't do it now, though. Gotta run. I'll try tonight.
-PJ
1980
85,496,851 Total Votes. 52.6% of Eligible Voters.
Candidate | Party | Popular Vote | Electoral College | Percent |
Ronald Reagan (CA) George Bush (TX) |
Republican | 43,901,812 | 489 | 50.8% |
Jimmy Carter (GA) Walter Mondale (MN) |
Democrat | 35,483,820 | 49 | 41.0% |
John Anderson (IL) | Independent | 5,719,437 | 0 | 6.6% |
Ed Clark (CA) | Libertarian | 921,299 | 0 | 1.1% |
National Conventions
Republican: Detroit, MI 7/14/80
Democrat: New York, NY 8/11/80
Ronald Reagan (R): 489 Jimmy Carter (D): 49
width="324" height="265">
1984
"It's morning again in America"
92,641,042 Total Votes. 53.1% of Eligible Voters.
Candidate | Party | Popular Vote | Electoral College | Percent |
Ronald Reagan (CA) George Bush (TX) |
Republican | 54,455,000 | 525 | |
Walter Mondale (MN) Geraldine Ferraro (NY) |
Democrat | 37,577,000 | 13 | 40.5% |
David Berland (CA) | Libertarian | 228,314 | 0 | |
Lyndon LaRouche (VA) | Independent | 78,807 | 0 |
National Conventions
Republican: Dallas, TX 8/20/84
Democrat: San Francisco, CA 7/16/84
Ronald Reagan (R): 525 Walter Mondale (D): 13
width="326" height="264">
1988
"Read My Lips, No New Taxes"
TOTAL: 91,594,136 Total Votes. 50.1% of Eligible Voters.
Candidate | Party | Popular Vote | Electoral College | Percent |
George H.W. Bush (TX) James Danforth Quayle (IN) |
Republican | 426 | ||
Michael Dukakis (MA) Lloyd Bentson (MN) |
Democrat | 111 | ||
Lloyd Bentson (MN)** Michael Dukakis (MA) |
Democrat | 1 | ||
Ron Paul (TX) | Libertarian | 431,616 | 0 | |
Lenore Fulani (NY) | New Alliance | 217,200 | 0 | |
David Duke (LA) | Populist | 46,910 | 0 | |
Eugene McCarthy (MN) | Consumer | 30,903 | 0 |
**One elector from West Virginia voted for Lloyd Bentsen for President and Michael Dukakis for Vice President.
National Conventions:
Republican: New Orleans, LA 08/15/1988
Democrat: Atlanta, GA 07/18/1988
George Bush (R): 426 Michael Dukakis (D): 111 Lloyd Bentson (D): 1
Maybe that's why Teddy Roosevelt ran against his great grandfather in 1912.
VAR(state) = Nv(state)*p(state)*(1-p(state)),
where:
Nv(state) is the number of electoral college votes for a given state,
p(state) is probability that Bush carries that state.
It should be:>
VAR(state) = Nv(state)*Nv(state)*p(state)*(1-p(state)),
Then the expected number of votes for Bush is 288.88 votes, the variance 3027.5 and the standard deviation is 55.03. If one assumes that the sum of the votes is nearly normally distributed central limit theorem and all that, then the error function can be used to approximated the probability that Bush will receive 270 or more votes. 288.88 270 = 18.88. 18.88/55.03 = 0.3431 standard deviations. The estimate of the probability of less than 270 votes is:
P(Bush Votes >=270) = .5+erf(.3431/sqrt(2))/2 = 0.6342
A simple exact analytic solution is available to calculate the sum of discrete independent random variables, as we are assuming in this model. (A binary tree would require 2^51 1 nodes.) If you represent the outcomes in each state as a polynomial in x of the form:
P(state) = p(state)*x^(Nv(state)+ (1-p(state))
Then the probability distribution of the sum is represented by the product of all the polynomials. In this case its a polynomial in x to the 538. You can implement it very easily in matlab as follows:
% Nv(state) contains the number of electoral votes in each state
% p(state) is the assume probability that Bush will carry the state, dont forget to divide by 100!
%
P = 1;
for k = 1:51%
P = conv(P, [1- p(k),zeros(1,Nv(k)-1),p(k)]);%
end
CDF = 1- conv(P, ones(size(P))); %
CDF = CDF(1:length(P)); %
%
%
%
%
P represents the discrete probability density of the resulting sum. P(n+1) = probability that Bush will receive exactly n votes, given this model. The average number of votes is the dot product of a vector
V = [0, 1, 2, 3 538]
with P
V dot P = 288.88.
The variance equal to the
[V-288.88]^2 dot P = 1524.866
Standard Deviation = SQRT(VAR) = 39.0495
CDF(n+1) represents the discrete probability density of the resulting sum. CDF(n+1) = probability that Bush will receive at least n votes, given this model.
CDF(270+1) = Probability that Bush will win = 0.6701
I also did 1,000,000 mock elections, given these probabilities. GWB won 680,228 times, he got an average of 288.89 votes with a standard deviation of 39.06 votes, in good agreement with the analysis.
I essentially take the states in groups of 5 at a time, run the analysis on the group, and then simulate the cumulative probability distribution with its 10/50/90 numbers each getting 25%/50%/25% probabilities. I then run the 9 nodes through an analysis which resulted in 19,683 scenarios. I'd like to try running each states as its own node, but that may create too many endpoints to resolve. I will try using Supertree later to see if that helps.
I take back what I said earlier about the 270 vote probability. My analysis now shows a 32% probability of Bush getting lower than 270 votes. My expected value of electoral votes is 290.75, with P10=242, P50=287, P90=346.
The statistical stuff (which I don't really understand) is: EV=290.75, Standard Deviation=39.37242, Variance=1550.1875, Coef. of Skewness=0.27, Coef. of Kurtosis=8893.
-PJ
Last night, I reran my analysis several time. Even Supertree couldn't handle a 51-node tree. I was able to break down the tree into two 20-node trees and one 11-node tree, grouped by descending electoral vote count. It was a time-consuming process, and the results weren't that different from Monte Carlo sampling, so I'll stick to Monte Carlo from now on.
I modified my MS Access program to run 10,000 samples (I'll run more once I get a faster computer). The prior stats were based on the tradesports.com probabilities from this thread, where Bush's probability of reaching 270 EVs is about 67%. I also ran the simulation using Dales' predictions (on my implied probability scale documented in his thread Electoral College Breakdown 2004, March 17th Update). Dales' probabilities are not as Bush-optimistic as tradesports.com, so the probability of Bush reaching 270 in that simulation was about 59%. I will run new simulations as Dales updates his assessments.
Anyway, using these tradesports.com probabilities, I looked at the states that Bush lost that he should have won (where his probability was >= .5) for simulated elections where he failed to reach 270 electoral votes. What I found was the following:
Bush lost Florida (27 EV) in 60.68% of the losing elections.
Bush lost Ohio (20 EV) in 48.2% of the losing elections.
Bush lost Missouri (11 EV) in 44.74% of the losing elections.
Bush lost Arizona (10 EV) in 33.89% of the losing elections.
I didn't look at combinations yet, to see how often he loses both Florida and Ohio (and perhaps Missouri). However, this seems to be the conventional wisdom without the sampling -- that Bush has to win either Florida or Ohio to win.
I also haven't looked at states that Bush won where he should have lost, in elections that he won. I wonder what that would show?
-PJ
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