Cambridge Analytica has been in the news recently because of
their astute use of big data to guide surprisingly successful political races
from Brexit to Donald Trump. But to some like Matt Oczkowski, Head of Product
at Cambridge Analytica, these upset victories were no surprise at all.
Charlene Weisler: I am fascinated as to how your company used data to
not only predict Brexit but also the election of Donald Trump. Can you give me
a quick overview of your approach and any insights?
Matt Oczkowski : A lot of the issues in most public polling
and in public perception of the Trump campaign in particular is that most
people had a fundamental misunderstanding of who the voting electorate was
going to be this year. It was a turnout and sampling problem. So the reason we
were hired by the Trump campaign was to quantify the Trump effect which is how
Donald Trump is different from the generic Republican. Most data science and
data modeling in politics is done “R vs D” – Republicans versus Democrats –
like a Mitt Romney versus Barack Obama.
The binary question is solved. But as we both know Hillary Clinton and
Donald trump are far different from any type of generic Republican or Democrat.
So where we had a lot of success was understanding the trends that unfolded on
election night in three major demographic groups which were - a major increase
in older rural voters, a massive decrease in the African American vote this
year and a slight increase in the Hispanic vote – and once you start to
understand these three trends, you extrapolate who is going to show up on
election day.
Charlene Weisler: So you had a sense before Election Day who was going
to show up and who wasn’t going to show up?
Matt Oczkowski: Correct. We had the benefit of having access
to all of Trump’s donors and all of Trump’s event attendees and when you start
to collect this first party data, it starts to give you an inside peek at what
a Trump-specific supporter is like. I can compare them to previous Republican
donors. I can look at their voter records and see if they showed up to vote
before. And that, early on, allowed us to start building a picture what a Trump
supporter looks like in our heads. But what was a really big indication was
when we started to get absentee ballot and early voter returns about a month or
so out from the election. Those three trends that I just mentioned were very
apparent in the early vote returns. Wisconsin was probably the biggest surprise
in the election this year and we saw these trends unfolding. Four weeks prior
to the election allowed us to change a lot of our tactics in terms of candidate
travel, media spend, focus on issues and speeches.
Charlene Weisler: So within a four week period, it was possible to
change the course of the election?
Matt Oczkowski: Absolutely. We knew going into it that we
had to build a really dynamic data program that could keep up with the
candidate because depending on the week, Mr. Trump could tweet one thing and it
would change the entire view of the electorate on that week. So our data
program had to be very elastic which means any time a stone was thrown into the
water we had to be able to track the ripples and see what different parts of
the electorate were actually moving in a particular direction. So we undertook
a big reweighting exercise, four to five weeks out from the election, where we
resampled all of our polling, reran all of our modeling and it showed generous approximate 3 point
bumps across the entire rust belt. The state we were most nervous about going
into Election Day was Florida. We knew that if Trump won Florida he won the
election. We felt really good about Pennsylvania and Ohio so we put a lot of
emphasis on Florida. The reason why Florida was so on the bubble for us was
because of the significant Hispanic population voting in our persuasion
universe. Once we started to see the returns from the rural counties and
Florida around 8:30 Central time we knew the election was over.
Charlene Weisler: Were there any data points that you found to be
particularly or surprisingly valuable?
Matt Oczkowski: Yes. If you were to look at a generic
Republican in the database, with the issues they cared about, you would see
issue #1 likely be Jobs and the Economy , #2 would be Security, #3 would be Government
size/Taxes. For an isolated Trump
specific supporter, the three issues were #1 Law and Order, #2 Immigration and
#3 Trade. And when you start to understand that profile, an isolated Trump
supporter looks a lot like a Bernie Sanders supporter. It is Blue Dog
Democrats. It is people who have been disenfranchised by the political system
who feel that the government hasn’t done anything for them in the past and who
came out to vote this year – and they haven’t been out to a voting booth in
several elections (which is a very difficult thing to quantify). I don’t blame
most of the press organizations because they don’t have access to a lot of this
information and data but I think they were foolish to assume that 2016 would
play out like 2012. It was a very different electorate.
Charlene Weisler: Are you continuing to look at the data to see how his
presidency will play out and whether there are issues he should avoid or
embrace?
Matt Oczkowski: I still don’t have a full understanding of
the election yet. There are about four battleground states where I have gotten
back data thus far from secretaries of state. There is still a large collection
process going on. And as that data comes in we continue to learn more and more
about what happened. We are working with a number of clients now taking this
program and furthering it to keep this understanding of the American electorate
alive for a number of different purposes.
Charlene Weisler: So if you were going to give some advice to some
Democratic candidates based on the data, what would it be?
Matt Oczkowski: There are two things I like to say.
One, it’s throw out the playbook. The
Clinton campaign fell into the trap of running the Obama 2012 campaign. Hillary
Clinton is not anything close to Barack Obama the candidate. So you need to
build a program that is unique towards her. And the other fatal mistake they
made, it was not focusing on rural areas.
Charlene Weisler: I was surprised that of the three top issues for
Trump voters, none were the Economy.
Matt Oczkowski: The fourth issue which would be surprising
to you was Wages. People felt that they deserved to be paid more, which is not
necessarily a Republican issue, raising the minimum wage of any kind. Economics
was a driver. A lot of Trump supporters followed his lead His first major issue
was Immigration this election. Law and Order became an issue because of what is
happening in the news and the press. Often times we find that the news media
drives the discussion in the presidential election. Other years it has been
second amendment with reports of shootings. This year there were a particular
set of issues that drove the narrative. Economics is always an underlying
factor but we found that with that specific core of Trump universe really
supported him.
Charlene Weisler: And the Trump universe is large enough to carry the
midterm elections?
Matt Oczkowski: It’s a combination of two things. It's Trump
winning his people and bringing new folks into the Republican party out winning
the established Republican base. One of our struggles early on was winning back
the traditional Republicans that had never seen a style and tenor of candidate
like Donald Trump before. So if he can win these two factions, absolutely. And
midterm election maps are much more favorable to Republicans than they are for
Democrats this year because of turnout. The question is will Trump’s people
come out again when he is not on the ballot and I think that is what we are
trying to understand and derive here.
This article first appeared in www.Mediapost.com
This article first appeared in www.Mediapost.com
No comments:
Post a Comment