California 4th

Likely R

1 in 7

Chance the Democrat wins (15.4%)

6 in 7

Chance the Republican wins (84.6%)

See the national overview

Forecasted turnout

Partisan lean

# How the forecast has changed

We'll be updating our forecasts every time new data is available, every day through Nov. 6.

Chance of winning

Popular vote share

KEY

AVERAGE

80% CHANCE OF FALLING IN RANGE

# What goes into the

classic forecast in the California 4th

The Classic version of our model projects a race’s outcome by taking a weighted average of polls of a district (if available), polls of similar districts (CANTOR) and non-polling factors (fundamentals). It is then reverted toward a mean based on long-term trends in midterms and presidential approval ratings.

R+6.5
Adjusted polls
R+10.8
CANTOR
R+5.9
Fundamentals
R+11.7
Experts

R+8.4

Lite
R+6.4

Classic
R+8.2

Deluxe

<0.1
<0.1

Historical adjustment

Key

More weight

Less

#Latest polls

We've collected one poll for the California 4th. We’re adjusting poll results in three ways: Polls of registered voters or all adults are adjusted to a likely-voter basis; older polls are adjusted based on shifts in the generic congressional ballot since the poll was conducted; and polls are adjusted for house effects (the tendency for a firm’s polls to lean toward Democrats or Republicans). Polls with larger sample sizes and those conducted by higher-quality polling agencies are given more weight, as are more recent polls.

								Adjustments
dates	pollster	sample		weight	Morse	McClintock	margin	likely voter	Time-line	House effects	Adjusted margin
Oct. 15-16 10/15-16	Clarity Campaign Labs D	840	LV	1.11	45%	49%	R+4.0	—	<0.1	2.5	R+6.5

Weighted averageR+6.5

Key

A = adults

RV = Registered voters

V = voters

LV = likely voters

= partisan poll

#Similar districts and CANTOR

Our district similarity scores are based on demographic, geographic and political characteristics; if two districts have a score of 100, it means they are perfectly identical. These scores inform a system we use — CANTOR, or Congressional Algorithm using Neighboring Typologies to Optimize Regression — to infer what polling would say in unpolled or lightly polled districts, given what it says in similar districts.

Districts most similar to the California 4th

	Sim. score	Polling avg.
CA-1	64	—
CO-4	61	—
NV-2	57	R+19.3
WA-5	55	R+6.9
CO-3	54	R+9.0
OR-2	53	R+12.7
WA-3	52	R+4.9
AZ-6	52	R+14.3
WA-8	51	D+0.5
OR-4	50	—

#The “fundamentals”

The Classic and Deluxe versions of our model use several non-polling factors to forecast the vote share margin in each district.

Factor	Impact	Explanation
Incumbency	1.9	Tom McClintock has been elected to 5 terms. Congress has only a 20.1% approval rating, reducing the incumbency advantage.
District partisanship	4.3	CA-4 is 19.9 percentage points more Republican-leaning than the country overall, based on how it has voted in recent presidential and state legislative elections. It voted for Trump in 2016 and Romney in 2012.
Incumbent's margin in last election	6.1	McClintock won by 25.4 percentage points in 2016.
Generic ballot	4.2	Democrats lead by an average of 8.6 percentage points in polls of the generic congressional ballot.
Fundraising	2.7	As of Oct. 17, Jessica Morse had raised $3,011,000 in individual contributions (68% of all such contributions to the major-party candidates); McClintock had raised $1,421,000 (32%).
Incumbent's voting record in Congress	1.4	McClintock has voted with Republicans 87% of the time in roll-call votes in recent sessions of Congress. Candidates who vote with their party very frequently tend to underperform at the ballot booth, other factors held equal.
Challenger experience	0.4	Morse has never held elected office.
Scandals	0.0	Neither candidate is involved in a scandal.
Top-two primary margin	1.5	Republicans won the aggregate vote by 17.3 percentage points in the June primary. However, turnout patterns can differ in the general election, so the model compares the primary result to others in California. On that basis, it treats the primary result as equivalent to a 3.7-point win for Republicans.
Total	R+5.9

#Expert ratings

The Deluxe version of our model calculates an implied margin for each race based on expert race ratings from The Cook Political Report, Inside Elections and Sabato's Crystal Ball; it then adjusts that margin toward its estimate of the national political environment.

		Equivalent Margin
Expert	Rating	Raw	Adjusted
Cook Political Report	Likely R	R+12.1	R+11.4
Inside Elections	Likely R	R+12.1	R+11.2
Sabato's Crystal Ball	Likely R	R+12.1	R+12.5
Average		R+12.1	R+11.7

How this forecast works

Nate Silver explains the methodology behind our 2018 midterms forecast. Read more …

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