Friday, November 14, 2014

Why Did Democrats Lose–It’s the Turnout Stupid!

Why did the Democrats overwhelmingly lose in the 2014 elections? Well, if you listen to Democrats they point to the turnout. This is partially true, but lack of interest in elections is a result of the political system and usually due to the lackluster performance of the Party in power – which is the Democrats in 2014. In 2008 and even 2012 the Democrats rode the coattails of Obama and large turnouts. Democrats continually brag about their ground game, their get out to vote effort, and their use of technology to get it done. But it was non-existent in 2014. Democrats even had a huge advantage in money and still could not get their base to the polls. The point is that turnout is the responsibility of the Party and the Democrats failed.

Obama claimed that two-thirds of the voters did not turnout. Technically, that is almost accurate. The turnout of the voter eligible population was between 37 and 38 percent or about 85 million people. Hence, nearly two-thirds did not vote. However, at best 70% of the voter eligible population votes. In 2012, nearly 135 million people voted meaning about 50 million people did not vote in 2014 or about 15% of the population.

Democrats pointed to the early vote statistics to show they were doing well. In Georgia, the Black vote was up. Across the country they bragged about their ability to get those voters who did not vote in 2012 to the polls (that was a focus). Democrats had advantages in most every critical state that tracked political ideology – North Carolina, Iowa, Maine, and Louisiana (and they closed the gap in Florida over 2010 turnout levels). In fact, early voting was up 8% over 2010. If you read the Huffington Post blog posted by early voting expert Michael McDonald one would suspect the Democrats would fair well in the 2014 critical races.

Democrats claimed the polls were biased towards Republicans. We found this out to be outright wrong and in fact, the polls were skewed majorly towards Democrats. In governor races the polls were wrong in many critical states: Illinois by 5.6 points; Kansas by 5.9 points; Vermont by 14.9 points; Maryland by 21 points; Ohio by 12.9 points; Wisconsin by 3.5 points; and Georgia by 4 points to name a few. In critical Senate races the polls were off as follows: 10.2 points in Arkansas; 11.6 points in Kansas; 4.9 points in Georgia; 8.3 points in Kentucky; 6.2 points in Iowa; 2.4 points in North Carolina; 10.6 points in West Virginia, and 10.4 points in Virginia. These are major errors and most outside the margin of error.

An article by the National Journal blamed the turnout as to why the race in Virginia ended up being so close. This is partly true, but as we pointed out above, it is up to the Party to get their voters to the polls. Evaluating the Virginia turnout the following facts can be established: Turnout was also low in Republican strongholds. Republicans received a smaller portion of the vote in coal country compared to 2012 mainly due to third party candidates. Yes, turnout was low throughout the state and Republicans outperformed Democrats outside coal country by about 5 points from 2012 to 2014.

The reason given for the Democrat low turnout in Virginia were mind boggling. The journal said that low turnout for the Democrats was mainly due to the fact that most House races and the Senate race were not going to be competitive. Well, couldn’t this also be a reason for the Republican low turnout? In fact, data suggests that voters supporting candidates that are more likely to lose are more likely to stay at home and not vote. To dismiss the possibility that more independent voters broke for Gillespie is downright arrogant.

Low Democratic turnout certainly cannot be an excuse in states like Maryland, Massachusetts, Illinois, and Vermont where Partisan Voter Indexes (PVI) are over 10 points in favor of Democrats. My data posted last week suggests that an inordinate number of Democrats and Independents had to have voted for Republican candidates – especially in House and Governor races (after all, the Democrats convincingly won Senate races in Illinois and Massachusetts).

So, blaming low Democratic turnout is certainly not an excuse. This is not all true and it is being distorted by Democrats. I hope Democrats continue to live in this fantasy land in 2016 because it will cost them the White House. After all, turnout in states with highly contested races was well above 40% and even if the turnout was super high for a midterm election, say 50%, it would not have changed the outcomes in any of these races – they were all blowouts!

Monday, November 10, 2014

Obama: The Gift That Keeps on Giving

There are not too many advantages to the economy and the health of our nation when it is led by a socialistic and narcissistic moron who does not know how to lead. However, there are a few advantages when the people finally realize they are being led by an incompetent and irresponsible idiot. The biggest advantage is the change in the political landscape not only nationally, but at the state level. Here are some comparisons:

The 111th Congress had the following ideology makeup at the start of the Obama Presidency:

· U.S. House: 256 Democrats and 178 Republicans

· U.S. Senate: 58 Democrats, 40 Republicans, and 2 Independents who caucus with the Democrats

At the state level in 2009 the ideology makeup looked as follows:

· The Democrats controlled 27 state chambers, Republicans controlled 14 state chambers, and 8 states had split control between Democrats and Republicans.

· The Democrats controlled 26 Governorships to 24 for the Republicans

The newly elected 114th Congress has the following ideology makeup:

· U.S. House: Republicans hold 248 seats to 186 for Democrats (states are still counting votes)

· U.S. Senate: If Louisiana runoff goes as expected, Republicans will have a 54 to 44 lead and two independents will caucus with the Democrats.

The 2015 state level political party strength now looks as follows:

State Chambers:

· Republicans control 29 state chambers, Democrats control 12, and 8 states have split control between the Republicans and Democrats (conservative estimate – states are still counting votes).

· Governorships: 30 Republicans, 19 Democrats, and 1 Independent

Here is how many seats/chambers the Republicans have gained due to Obama’s incompetence:

· U.S. House: Republicans gained 70 seats (highest level since the 1920’s)

· U.S. Senate: Republicans gained 14 seats and unseated more sitting Democrats than they have in the past 25 years

· State Chambers: Republicans gained complete control of 15 state legislators

· Governorships: Republicans gained 4 seats including in states like Maryland where they have not held the governorship for decades.

Yes, Obama’s incompetence is the gift that keeps on giving.

Friday, November 7, 2014

Why the 2014 Election was Hard to Prognosticate

My 2014 election model projections were as follows:

U.S. House: Actual: 248 Republicans, Model: 250 Republicans, Delta: +2

U.S. Senate: Actual: 54 Republicans, Model: 51 Republicans, Delta: -3

Governorships: Actual: 30 Republicans, Model: 28 Republicans, Delta: -2

The Polls

The Polls were skewed towards Democrats by average of 4.95 points in governor races and 3.5 points for Senate races. In my personal House measurement, it favored Democrats by 6 points. Sometimes we are only as good as the data we receive. That being said, I was one of the only people to project at least 15 house seat gains. Besides, it is hard to prognosticate an outcome such as the Republicans defeating four incumbent Senators when they have only defeated 2 sitting Senators the past 25 years (not a trend). And it is even more difficult to find a trend that would lead us to believe that Republicans would win Governorships in 3 of the most liberal states in the Union (Illinois, Massachusetts, and Maryland) in the same year. So this year was an anomaly and it could be the start of new trend.

To better understand the 2014 election results I ran a few models. The independent variable was the final polls, actual results, and the difference between the two. The x variables were the Partisan Voter Index (PVI – an index that defines the ideology makeup of a state or house district – for instance, R5, indicates the state or district leans Republican by 5 percentage points and D5 would be the opposite), Incumbency, and the final partisan makeup of congress and the governorships. An evaluation of the poll data model and its constant and parameter coefficients revealed:

· The House generic ballot would favor Republicans by 1.385 points

· The Senate generic ballot would favor Republicans by 1.236 points

· The Governor generic ballot would favor Republicans by 2.582 points

The final or actual results told a much a different story:

· The House generic ballot favored Republicans by 3.796 points

· The Senate generic ballot favored Republicans by 0.819 points

· The Governor generic ballot favored Republicans by 5.802 points

The final House Generic Ballot poll was 2.2 points in favor of Republicans when it was actually 3.8. In fact, if the above 3 results are averaged the overall generic ballot favored Republicans by over 3.5 points when the final polls indicated a House generic ballot of only 1.4 and an average of only 1.7 points overall (far below the 2.2 in the polls – you can read my blog on the dichotomy of two polls). In the course of history a 2.2 or 1.4 margin for Republicans is huge let alone 3.5 or 3.8 points! This certainly can explain account for the huge Democratic bias in the polls.

The above results can be explained further by evaluating the PVI (Partisan Voting Index). Republicans won 9 seats in the Senate, but the gains were in traditional red states: Alaska, Arkansas, Louisiana, Georgia, North Carolina, South Dakota, Montana, and West Virginia and in purple Iowa. The data shows people were much more partisan with their Senate vote. And these results also explain why polls were more accurate for Senate races as well as why the generic ballot only favored Republicans by about 1 percentage point in these races.

The actual results showed people were significantly less partisan with their votes especially in the House and in governor races. Republicans picked up multiple house seats in Democratic strongholds in states such as California, Illinois, and New York. Republicans won governorships in deep blue states such as Massachusetts, Illinois, Michigan, New Mexico, Nevada, Maine, Wisconsin, and Maryland. And they won a few of these races by huge margins. They nearly won huge upsets in states like Vermont, Rhode Island, and Connecticut. Governor races were also much tighter in states like New York and Oregon than suspected. This explains the partisanship and why Republicans had a huge generic ballot advantage.

Based on polling, the models also indicated that following:

· House incumbents had a 3.8 point advantage with an actual PVI coefficient of 0.38

· Senate incumbents had a 7.1 point advantage with an actual PVI coefficient of 1.5

· Governor incumbents had a 5.3 point advantage with an actual PVI coefficient of 0.53

My model includes open seats in the incumbent data (in other words, whomever held the seat last Republican or Democrat is considered the incumbent). Historically these incumbent advantage numbers are low. We know incumbents have an advantage going into elections because incumbents are hard to beat. Since most Senate races were in Red states and these races had voters vote along party lines (high PVI), it lead to the gain of 9 seats in the Senate even though the Republican advantage in the generic poll was not that high. That being said, I am willing to believe the Senate generic ballot was much higher than 1%. And even though the house and governor races saw voters be less partisan, the huge generic ballot in the Republicans favor helped them overcome this and win many seats. In fact, it shows more independents and Democrats were voting for Republican candidates. This explains why Republicans did well in New York, Illinois, Massachusetts, California and Maryland. Massachusetts and Illinois are good example because they had both a governor and senator races. The Republican won the Governor races, but were destroyed in the Senate races (30 point difference in Massachusetts and 15 points in Illinois). This explains exactly what the models show: Senate races vote along partisan lines and the governor races did not. About 20% of Senate races changed hands, 15% of governor races, and 5% of house races. And this would lead me to believe the low PVI played an important role in this for house races. Since house races are far less partisan getting seats to flip is harder despite a low advantage and high generic ballot. Besides, Republicans were expected to have a fairly high generic ballot in house races because they held nearly 60% of the seats to begin with.

Tuesday, November 4, 2014

Election Polls and Models (11/4/14–Final)

Below are poll averages (from Real Clear Politics) for Gubernatorial, Senate, and contested House seats. A positive poll average favors the Republican candidate whereas a negative poll average favors the Democratic candidate. From the poll averages a ranking and probability are calculated for each race. A probability above 0.5 (50%) favors the Republican candidate whereas a probability under 0.5 favors the Democratic candidate. The higher ranking, the higher the probability the race will go to the Republican candidate. The lower the ranking, the higher the probability the race will go to the Democratic candidate. Since polling in House races are not very accurate, the formula to calculate the probability is more complex taking into account race ratings by the Cook, Election Projection, and Sabato political reports as well as generic congressional polling results and PVI (Partisan Voting Index). A positive PVI means the percentage of registered Republicans in the district outnumbers registered Democrats whereas a negative PVI means the percentage of registered Democrats in the district outnumbers registered Republicans. The overall probability for the President, Senate, Gubernatorial, and House races are computed to project the number of seats (including the presidency) that are going to be won by Republicans and Democrats respectively. Race candidates will be filled in to the below tables once they are determined by state primaries. I will update and post this information regularly (many primaries and candidates have not been decided and most polls are not pertinent because they do not contain the right candidates). Below is an overall summary of the predicted outcomes based on probability density function models.

Governor Races

State

Democrat

Republican

Poll

Rank

Probability

Gain

Incumbent

Arkansas

Ross

Hutchinson

8

14

0.7116084

1

Rep Gain

-1

California

Brown

Kashkari

-18

35

0.104612

-1

Dem Hold

-1

Connecticut

Malloy

Foley

-1.3

24

0.4638696

-1

Dem Hold

-1

Colorado

Hickenlooper

Beauprez

-0.5

21

0.4860875

-1

Dem Hold

-1

Hawaii

Ige

Aiona

-13

33

0.1822309

-1

Dem Hold

-1

Illinois

Quinn

Rauner

-0.8

22

0.477747

-1

Dem Hold

-1

Maryland

Brown

Hogan

-12

32

0.2012585

-1

Dem Hold

-1

Massacusetts

Coakley

Baker

3.4

17

0.5937446

1

Rep Gain

-1

Minnesota

Dayton

Johnson

-9

30

0.2650508

-1

Dem Hold

-1

New Hampshire

Hassan

Havenstein

-5

27

0.3636174

-1

Dem Hold

-1

New York

Cuomo

Astorino

-24

36

0.0470389

-1

Dem Hold

-1

Oregon

Kitzhaber

Richardson

-8

29

0.2883916

-1

Dem Hold

-1

Rhode Island

Raimondo

Fung

-6

28

0.3377662

-1

Dem Hold

-1

Vermont

Shumlin

Milne

-16

34

0.1321727

-1

Dem Hold

-1

Arizona

DuVal

Ducey

6

15

0.6622338

1

Rep Hold

1

Alabama

Griffith

Bentley

32

1

0.9872044

1

Rep Hold

1

Alaska

Walker

Parnell

-3

26

0.4171134

-1

Dem Gain

1

Florida

Crist

Scott

-1

23

0.4721919

-1

Dem Gain

1

Georgia

Carter

Deal

4.6

16

0.6258575

1

Rep Hold

1

Idaho

Balukoff

Otter

15

11

0.852316

1

Rep Hold

1

Iowa

Hatch

Branstad

19

6

0.9074912

1

Rep Hold

1

Kansas

Davis

Brownback

-2.3

25

0.436263

-1

Dem Gain

1

Maine

Michaud

LePage

1.4

20

0.5389011

1

Rep Hold

1

Michigan

Schauer

Snyder

2.5

18

0.5692256

1

Rep Hold

1

Nebraska

Hassebrook

Ricketts

13

12

0.8177691

1

Rep Hold

1

Nevada

Goodman

Sandoval

25

5

0.9594231

1

Rep Hold

1

New Mexico

King

Martinez

10

13

0.7572901

1

Rep Hold

1

Oklahoma

Dorman

Fallin

17

8

0.8821771

1

Rep Hold

1

Ohio

Fitzgerald

Kasich

18

7

0.895388

1

Rep Hold

1

Pennsylvania

Wolf

Corbett

-11

31

0.2214298

-1

Dem Gain

1

South Carolina

Sheheen

Haley

16

10

0.8678273

1

Rep Hold

1

South Dakota

Wismer

Daugarrd

29

2

0.9784673

1

Rep Hold

1

Tennessee

McKamey

Haslam

28

3

0.9746088

1

Rep Hold

1

Texas

Davis

Abbott

17

8

0.8821771

1

Rep Hold

1

Wisconsin

Burke

Walker

2.2

19

0.560988

1

Rep Hold

1

Wyoming

Gosar

Mead

26

4

0.9651451

1

Rep Hold

1

0

14.3346

0.5764308

4

-2

8

Senate Races

State

Democrat

Republican

Poll

Rank

Probability

Gain

Incumbent

Alabama

Unopposed

Sessions

50

1

0.9897637

1

Rep Hold

1

Alaska

Begich

Sullivan

2.4

21

0.5442883

1

Rep Gain

-1

Arkansas

Pryor

Cotton

7.1

17

0.6289581

1

Rep Gain

-1

Delaware

Coons

Wade

-18

33

0.2020488

-1

Dem Hold

-1

Georgia

Nunn

Perdue

3.2

19

0.5589567

1

Rep Hold

1

Hawaii

Schatz

Cavasso

-38

36

0.0390893

-1

Dem Hold

-1

Illinois

Durbin

Oberweis

-12

29

0.2890313

-1

Dem Hold

-1

Massachusetts

Markey

Herr

-21

34

0.1651823

-1

Dem Hold

-1

Maine

Bellows

Collins

30

5

0.9178179

1

Rep Hold

1

Michigan

Peters

Land

-11

27

0.3050728

-1

Dem Hold

-1

Minnesota

Franken

McFadden

-9

26

0.3382797

-1

Dem Hold

-1

Mississippi

Childers

Cochran

15

14

0.7565573

1

Rep Hold

1

Kentucky

Grimes

McConnell

7.2

30

0.6307084

1

Rep Hold

1

Idaho

Mitchell

Risch

30

4

0.9178179

1

Rep Hold

1

Kansas

Orman

Roberts

-0.7

22

0.4870582

-1

Dem Gain

1

Nebraska

Domina

Sasse

25

7

0.8767281

1

Rep Hold

1

Colorado

Udall

Gardner

2.5

19

0.5461256

1

Rep Gain

-1

Louisiana

Landrieu

Cassidy

4.8

18

0.5880325

1

Rep Gain

-1

New Jersey

Booker

Bell

-15

31

0.2434427

-1

Dem Hold

-1

New Mexico

Udall

Weh

-13

30

0.2733979

-1

Dem Hold

-1

Oklahoma

Johnson

Langford

33

3

0.9369417

1

Rep Hold

1

Oklahoma

Silverstein

Inhofe

33

3

0.9369417

1

Rep Hold

1

Montana

Walsh

Daines

18

10

0.7979512

1

Rep Gain

-1

Rhode Island

Reed

Zaccaria

-33

35

0.0630583

-1

Dem Hold

-1

Tennessee

Adams

Alexander

17

11

0.784644

1

Rep Hold

1

Texas

Alameel

Cornyn

21

8

0.8348177

1

Rep Hold

1

South Carolina

Dickerson

Scott

21

8

0.8348177

1

Rep Hold

1

South Carolina

Hutto

Graham

17

11

0.784644

1

Rep Hold

1

Virginia

Warner

Gillespie

-11

27

0.3050728

-1

Dem Hold

-1

Oregon

Merkley

Wehby

-17

32

0.215356

-1

Dem Hold

-1

West Virginia

Tennant

Capito

17

11

0.784644

1

Rep Gain

-1

New Hampshire

Shaheen

Brown

-0.9

25

0.4833624

-1

Dem Hold

-1

Wyoming

Hardy

Enzi

46

2

0.9835034

1

Rep Hold

1

South Dakota

Weiland

Rounds

10

15

0.6785021

1

Rep Gain

-1

North Carolina

Hagan

Tillis

-0.7

23

0.4870582

-1

Dem Hold

-1

Iowa

Braley

Ernst

1.4

22

0.52587

1

Rep Gain

-1

0

21.5743

0.5770943

8

7

-6

House Races

State

Democrat

Republican

Poll

PVI

Cook

Sabato

Election Projection

AVE

Rank

Probability

Arkansas 2

Hays

Hill

-4

8

0

5

5

3.2

37

0.6856783

Arkansas 4

Witt

Westerman

9

15

5

5

10

7.9

22

0.883757

Arizona 1

Kirkpatrick

Tobin

6

4

0

5

-5

1.4

44

0.5837871

Arizona 2

Barber

McSally

-5

3

0

-5

-5

-1.9

55

0.386995

Arizona 9

Sinema

Rogers

0

1

-5

-10

-10

-4.8

66

0.2340862

California 3

Garamendi

Logue

-6

-1

-10

-15

-15

-8.8

73

0.0917587

California 7

Bera

Ose

-4

0

0

5

5

1.6

43

0.5955397

California 9

McNerney

Amador

0

-6

-15

-15

-15

-10.2

78

0.0615862

California 10

Eggman

Denham

10

1

15

10

15

9.2

13

0.917805

California 16

Costa

Tacherra

0

-7

-15

-15

-15

-10.4

79

0.057996

California 21

Renteria

Valadao

15

1

15

10

10

8.7

17

0.9057264

California 25

Strckland

0

3

10

15

10

7.6

24

0.8746475

California 24

Capps

Mitchum

0

-4

-10

-10

15

-1.8

53

0.3927933

California 26

Brownley

Gorell

0

-4

0

-5

-5

-2.8

60

0.336081

California 31

Aguilar

Chabot

-4

-5

-5

-5

-5

-4.4

65

0.2530248

California 36

Ruiz

Nestande

0

1

0

-5

-5

-1.8

53

0.3927933

California 52

Peters

DiMaio

-1

-2

0

-5

-5

-2.5

59

0.3527741

Colorado 6

Romanoff

Coffman

1

-1

5

5

5

2.9

39

0.6694142

Connecticut 5

Esty

Greenberg

-16

-3

-10

-10

-15

-9.2

75

0.082195

Florida 2

Graham

Southerland

0.5

6

5

5

5

4.25

35

0.7396708

Florida 26

Garcia

Cubelo

-1

1

0

5

5

2.1

41

0.624525

Florida 10

Demings

Webster

0

6

5

15

15

8.2

18

0.8923866

Florida 13

Sink

Jolly

0

1

15

15

15

9.2

13

0.917805

Florida 18

Murphy

Domino

-22

3

-10

-10

-15

-8.6

72

0.096839

Hawaii 1

Takai

Djou

1

-15

-5

-5

-5

-5.9

68

0.1862752

Georgia 12

Barrow

Allen

3

14

0

-5

-5

1.1

45

0.56602

Illinois 8

Duckworth

Kaifesh

0

-8

-10

-5

-15

-7.6

69

0.1253525

Illinois 10

Schneider

Dold

-4

-5

0

5

5

0.6

49

0.5361274

Illinois 11

Foster

Senger

-3

-10

-10

-10

-15

-9.3

76

0.0799258

Illinois 12

Enyart

Bost

5

2

-5

0

5

0.9

46

0.5540984

Illinois 13

Callis

Davis

17

17

10

10

10

11.1

3

0.953289

Illinois 17

Bustos

Schilling

-9

-11

-5

-10

-10

-8.1

71

0.1104371

Indiana 2

Bock

Walorski

0

6

15

10

10

8.2

18

0.8923866

Iowa 1

Murphy

Blum

0.5

-5

0

-5

-5

-2.95

61

0.3278517

Iowa 3

Appel

Young

0

0

0

5

5

2

42

0.6187781

Iowa 4

Mowrer

King

11

5

15

10

15

10.1

6

0.9365548

Kentucky 6

Jensen

Barr

0

9

15

-5

-15

0.8

47

0.5481186

Maine 2

Cain

Poliquin

0

-2

-5

-5

-5

-3.4

62

0.3036733

Massachusetts 6

Moulton

Tisei

-1

-4

-5

-10

-5

-4.9

67

0.2294772

Michigan 8

Schertzeing

Bishop

0

2

15

15

5

7.4

26

0.8683043

Michigan 1

Cannon

Benishek

0

5

10

10

5

6

31

0.817749

Michigan 3

Goodrich

Amash

0

4

10

15

15

8.8

16

0.9082413

Michigan 7

Byrnes

Walberg

3

3

15

10

10

7.9

22

0.883757

Michigan 11

McKenzie

Trott

12

4

10

15

15

10

9

0.9346525

Minnesota 1

Walz

Hagedorn

0

1

-10

-15

-15

-7.8

70

0.1192258

Minnesota 2

Obermueller

Kline

22

2

15

10

15

10.6

4

0.9454276

Minnesota 8

Nolan

Mills

8

3

0

5

5

3.4

36

0.6963267

Minnesota 7

Peterson

Westrom

-10

6

-10

-5

-5

-3.8

63

0.2828759

Montana 1

Lewis

Zinke

9

7

10

10

15

9.3

12

0.9200742

New Jersey 3

Belgard

McArthur

6

1

0

5

-5

0.8

47

0.5481186

New Jersey 2

Hughes

LoBiondo

13

-1

15

15

15

10.1

6

0.9365548

New York 1

Bishop

Zeldin

0

2

0

5

5

2.4

39

0.6415959

New York 11

Recchia

Grimm

19

2

0

5

10

5.3

34

0.7884412

New York 18

Maloney

Hayworth

-4

0

0

-5

-5

-2.4

56

0.3584041

New York 19

Eldridge

Gibson

24

-1

10

5

15

8.2

18

0.8923866

New York 21

Woolf

Stefanik

14

0

10

5

15

7.4

26

0.8683043

New York 24

Maffei

Katko

-1

-5

0

-5

5

-1.1

52

0.43398

New York 23

Robertson

Reed

0

3

15

5

5

5.6

33

0.8013255

New York 27

Hochul

Collins

0

8

0

15

15

7.6

24

0.8746475

Nebraska 2

Ashford

Terry

-3

4

5

0

-5

0.5

51

0.5301187

New Hampshire 1

Shea-Porter

Guinta

4

1

0

5

-5

0.6

49

0.5361274

New Hampshire 2

Kuster

Garcia

-6

-4

-5

-5

5

-2.4

56

0.3584041

New Mexico 2

Lara

Pearce

0

5

15

10

15

9

15

0.9131214

Nevada 2

Spees

Amodei

0

5

15

15

15

10

9

0.9346525

Nevada 3

Bilbay

Heck

0

10

10

10

10

8

21

0.8866865

Nevada 4

Horsford

Hardy

0

-4

-5

-5

-5

-3.8

63

0.2828759

North Carolina 2

Aiken

Ellmers

8

15

15

15

15

12.8

1

0.9734772

North Carolina 7

Barfield

Rouzer

0

12

15

15

15

11.4

2

0.9575519

Ohio 6

Garrison

Johnson

0

8

15

15

15

10.6

4

0.9454276

Ohio 14

Wager

Joyce

0

4

15

15

15

9.8

11

0.9307153

Oregon 5

Schrader

Smith

0

0

-15

-15

-15

-9

74

0.0868786

Pennsylvania 6

Trivedi

Costello

9

2

10

10

10

7.3

28

0.865051

Pennsylvania 8

Strouse

Fitzpatrick

0

1

15

15

5

7.2

29

0.861743

Texas 23

Gallego

Hurd

0

3

-5

-5

-5

-2.4

56

0.3584041

Utah 4

Owens

Love

9

16

10

10

10

10.1

6

0.9365548

Virginia 10

Foust

Comstock

15

2

5

5

10

5.9

32

0.8137248

Washington 1

Delbene

Larsen

-9

-4

-10

-15

-15

-9.7

77

0.0713207

West Virginia 2

Mooney

Casey

12

11

0

5

10

6.4

30

0.8332966

West Virginia 3

Rahall

Jenkins

-6

14

0

5

-5

2.2

40

0.6302444

Governor Races: Current - Republicans 29; Democrats 21 (including 2 Independents); Model Projection - Republicans 28; Democrats 22 (including 2 Independents)

Senate Races: Current - Republicans 45; Democrats 55 (Including 2 Independents); Model Projection - Republicans 51; Democrats 49 (Including 2 Independents)

House Races: Current - Republicans 234; Democrats 204; Model Projection: Republicans 250; Democrats 188

Below is an overall summary of the predicted outcomes based solely on election polls:

Governor Races: Republicans 27; Democrats 23 (including 2 Independents)

Senate Races: Republicans 52; Democrats 48 (Including 3 Independents)

House Races: Republicans 247; Democrats 191