Response to MIT/Caltech

 

The MIT/CalTech study suggests that the difference between the exit polls and the vote tally can be explained

by volatility of the exit polls early in the day and that the accuracy of the final exit poll with the complete sample

is the one to be trusted.

 

Below are three tables of data from exit polls displayed on CNN’s website on Nov 2 and early morning Nov 3.

As you can see the swings from late night to early morning are dramatic and can not be explained by the indicated

increase in the sample size. In other words, the changes in the poll can not be attributed to more accuracy due a

more complete sample as the MIT/CalTech study suggests.

 

I believe that the changes below can only be made by manipulation of the database, either by moving data around

or by changing the weightings used throughout the day. The former is fraudulent, the later could have an explanation

but to my knowledge none has been offered. This indicates a fraudulent manipulation of the final exit poll update, but

is not conclusive.

 

Ohio CNN exit poll data

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

Bush

Kerry

 

Time

Respondents

Male%

Female%

Male%

Female%

Total

Male%

Female%

Total

Margin

12:21am

 

47.0%

53.0%

49.0%

47.0%

47.9%

51.0%

53.0%

52.1%

-4.1%

 

1963

923

1040

452

489

941

471

551

1022

-81

1:41am

 

47.0%

53.0%

52.0%

50.0%

50.9%

47.0%

50.0%

48.6%

2.4%

 

2020

949

1071

494

535

1029

446

535

982

47

1 hour 20 min

57

 

 

42

46

88

-24

-16

-40

 

 

 

 

 

 

 

 

 

 

 

 

National CNN exit poll data

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

Bush

Kerry

 

Time

Respondents

Male%

Female%

Male%

Female%

Total

Male%

Female%

Total

Margin

9:06:00 PM

 

46.0%

54.0%

51.0%

45.0%

47.8%

47.0%

54.0%

50.8%

-3.0%

 

13000

5980

7020

3050

3159

6209

2811

3791

6601

-393

1:36:00 AM

 

46.0%

54.0%

52.0%

50.0%

50.9%

47.0%

50.0%

48.6%

2.3%

 

13531

6224

7307

3237

3653

6890

2925

3653

6579

311

4 hr 30 min 

531

 

 

187

494

681

115

-137

-23

 

 

 

 

 

 

 

 

 

 

 

 

Florida CNN exit poll data

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Proportion

Bush

Kerry

 

Time

Respondents

Male%

Female%

Male%

Female%

Total

Male%

Female%

Total

Margin

8:40:00 PM

 

46.0%

54.0%

52.0%

48.0%

49.8%

47.0%

52.0%

49.7%

0.1%

 

2846

1309

1537

681

738

1418

615

799

1414

4

1:01:00 AM

 

46.0%

54.0%

53.0%

50.0%

51.4%

46.0%

49.0%

47.6%

3.8%

 

2862

1317

1545

698

773

1470

606

757

1363

108

3 hr 21 min 

16

 

 

17

35

52

-10

-42

-52

 

 

 

 

 

 

 

 

 

 

 

The MIT/CalTech charts and the table below appear to agree only in the discrepancy in NY. Their charts show

exit polls agreeing with vote tallies in most states except NY. My data which I believe to be correct and taken

from late night exit polls before the final update show a consistent and strong swing from Kerry to Bush.

 

 

 

 

 

Actual Vote

 

Early Exit Poll

Actual Vote - Exit poll

Total

State

EV

 

Kerry

Bush

Nader

 

Kerry

Bush

Nader

Kerry

Bush

Nader

Swing

Alabama

9

 

37

63

0

 

 

 

 

 

 

 

 

Alaska

3

 

34

62

2

 

 

 

 

 

 

 

 

Arizona

10

 

44

55

1

 

45

55

0

-1

0

1

-1

Arkansas

6

 

45

54

1

 

45

54

0

0

0

1

0

California

55

 

54

45

0

 

 

 

 

 

 

 

 

Colorado

9

 

46

53

1

 

49

50

0

-3

3

1

-6

Connecticut

7

 

54

44

1

 

 

 

 

 

 

 

 

Delaware

3

 

53

46

1

 

 

 

 

 

 

 

 

D.C.

3

 

90

9

1

 

 

 

 

 

 

 

 

Florida

27

 

47

52

1

 

51

49

0

-4

3

1

-7

Georgia

15

 

41

59

0

 

 

 

 

 

 

 

 

Hawaii

4

 

55

44

1

 

 

 

 

 

 

 

 

Idaho

4

 

29

69

0

 

 

 

 

 

 

 

 

Illinois

21

 

55

44

1

 

 

 

 

 

 

 

 

Indiana

11

 

39

60

0

 

 

 

 

 

 

 

 

Iowa

7

 

49

50

1

 

50

46

0

-1

4

1

-5

Kansas

6

 

36

63

1

 

 

 

 

 

 

 

 

Kentucky

8

 

40

60

0

 

 

 

 

 

 

 

 

Louisiana

9

 

42

57

0

 

42

57

0

0

0

0

0

Maine

4

 

53

45

1

 

 

 

 

 

 

 

 

Maryland

10

 

56

43

1

 

 

 

 

 

 

 

 

Massachusetts

12

 

62

37

0

 

 

 

 

 

 

 

 

Michigan

17

 

51

48

1

 

52

46

1

-1

2

0

-3

Minnesota

10

 

52

47

1

 

52

48

2

0

-1

-1

1

Mississippi

6

 

40

60

0

 

 

 

 

 

 

 

 

Missouri

11

 

46

54

0

 

47

52

1

-1

2

-1

-3

Montana

3

 

39

59

1

 

 

 

 

 

 

 

 

Nebraska

5

 

32

67

0

 

 

 

 

 

 

 

 

Nevada

5

 

48

51

1

 

49

48

1

-1

3

0

-4

New Hampshire

4

 

50

49

1

 

54

44

1

-4

5

0

-9

New Jersey

15

 

53

46

1

 

54

44

1

-1

2

0

-3

New Mexico

5

 

49

50

1

 

50

48

0

-1

2

1

-3

New York

31

 

58

40

2

 

62

36

2

-4

4

0

-8

North Carolina

15

 

43

57

0

 

 

 

 

 

 

 

 

North Dakota

3

 

36

63

1

 

 

 

 

 

 

 

 

Ohio

20

 

49

51

0

 

51

49

0

-2

2

0

-4

Oklahoma

7

 

34

66

0

 

 

 

 

 

 

 

 

Oregon

7

 

53

47

0

 

 

 

 

 

 

 

 

Pennsylvania

21

 

51

49

0

 

53

46

0

-2

3

0

-5

Rhode Island

4

 

60

39

1

 

 

 

 

 

 

 

 

South Carolina

8

 

41

58

1

 

 

 

 

 

 

 

 

South Dakota

3

 

38

61

1

 

 

 

 

 

 

 

 

Tennessee

11

 

43

57

0

 

 

 

 

 

 

 

 

Texas

34

 

38

61

0

 

 

 

 

 

 

 

 

Utah

5

 

26

72

1

 

 

 

 

 

 

 

 

Vermont

3

 

59

39

2

 

 

 

 

 

 

 

 

Virginia

13

 

46

54

0

 

 

 

 

 

 

 

 

Washington

11

 

53

46

1

 

 

 

 

 

 

 

 

West Virginia

5

 

43

56

1

 

45

54

1

-2

2

0

-4

Wisconsin

10

 

50

49

1

 

51

48

1

-1

1

0

-2

Wyoming

3

 

29

69

1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

10

 

46

54

1

 

50

49

1

-5

5

0

-10

 

 

 

By: David Dodge, BSMME (Manufacturing and Management Engineering), November 12, 2004