Henry
Farrell at The Monkey Cage (via LFC and a few clicks) links to an article at Columbia Journalism Review that
refers to The Monkey Cage, and to a months-old controversy over whether
political journalists disrespect political scientists, but that’s not important
right now. The CJR article also links to a
post at Jonathan Bernstein’s A Plain Blog about Politics, in which
Bernstein links back to The Monkey Cage and an
old post there, “Three Myths about Political Independents.” The nub of the argument is that many widely
shared beliefs about independent voters (John Sides at The Monkey Cage cites
David Brooks and Charles Blow, both at the New
York Times) actually are not true.
Sides says, “This has been known in political science since 1992, with
the publication of The
Myth of the Independent Voter.”
Political scientists look at polls (among other things). Sides says people who poll as independent
actually say they are not independent if you ask them a follow-up question. If pollsters ask the follow-up question, and
remove those who identify themselves as either partisans of one of the major
parties, or leaning towards one of the major parties, the percentage of voters
who are “independents” drops from about 35% to about 10%.
I don’t take polls of my friends and acquaintances. However, I do know people who say they are
independents. I don’t usually pester
them with “follow-up questions,” but often they follow up themselves. They may go on to say that, for example, they
could conceivably be persuaded to vote for either candidate—it’s just that at
the moment they think there are strong reasons not to vote for, say, the
Democrat. They may say that they think
there needs to be health care reform—it’s just that they happen to know lots of
small business owners, and their friends invariably say that every health care
reform law ever passed has either hurt their business or virtually compelled
them to hurt their employees. I also
know people who call themselves independents and almost always find reasons to
vote for the Democrat. In either case, they
seem very seriously to be willing to consider both sides of the issues, they
seem very seriously to be willing to reject even the party they lean to
strongly if the issues fell out that way, and it may well be that their sense
of an “independent” view of the issues just happens to fall pretty far from
what other people might consider the center.
It seems easy to say that people are independents, or only
weakly partisan, because they are “low-information voters.” (Matt Yglesias seems to harp on this idea a
lot, though I may have got his version of it wrong here.) But “low-information” doesn’t seem to
describe these people well. They care
enough to be informed on the issues and to try to inform other people. (In a sense, they can be categorized as
Gladwell’s “Mavens.”) They care enough
not to settle for a position just because some organization tells them to. In other words, they are actually high-information
voters: in fact, they tend to be among the highest-information voters in the
group, if my subjective observations (of an admittedly smallish number of
anecdotal situations) are to be trusted.
Now, polls or smaller scale studies might show that they are actually
lower-information than they appear, and thus that my subjective observations
are wrong (but on the other hand, I don’t think polls would usually make
observations at a level of granularity that would enable political scientists
to compare voters perceived as high-information in specific environments with voters who actually are
high-information in precisely the same
environments).
So there is one disconnect.
And, then, how should we define “high information”? How about with reference to these “myths
about independent voters” themselves?
Sides’s old post says, “This has been known . . . since 1992.” Wouldn’t it be more accurate to say that the
information has been available since 1992?
I’d guess that at John Sides’s department, his results are accepted, and
nobody would be allowed to get away with an argument that ignored those
results. Sides’s post gives me some good
reasons to accept those results if I want to make an argument Sides will take
seriously, but not necessarily if the people I need to take my argument seriously
are in a different department or in at some newsroom’s editor’s desk. Maybe Bruce Keith’s work was accepted even
more quickly than Albert Einstein’s was, but based on my (admittedly limited)
knowledge of academia, I would be very surprised if there were no significant critiques
(or even attacks) on Keith’s work published in the past twenty years. Not enough time seems to have passed for the contents
of a groundbreaking academic monograph to have become the basis of all the work
being done in the field everywhere in the world. The likelihood that there is some other
research out there, which I will not be able to dismiss out of hand,
contradicting the work Sides relies on, makes me reluctant simply to accept
Sides’s assertion that this has been known since 1992. I would lean towards accepting his word, but
I’m not sure (as a non-expert) about repeating it as gospel truth.
For example, it makes me uncomfortable to say that a layperson
is simply wrong who happens to think that there are more voters in the US who
identify themselves as independents than identify themselves as Democrats or
Republicans, who does not know that this, though superficially plausible on a naïve
reading of the evidence, has been shown to be a myth. On a purely empirical level, I can read a
graph as well as anybody else, and the chart clearly shows that the “myth” is actually
an accurate representation of the polling data.
I’m reluctant to say that somebody who has gone to the trouble of
reading the graph, of reading John Sides’s argument, and of concluding that
they will continue to use “independent” in a sense that agrees with the myth
and with common usage, is “lower information” than someone who doesn’t read The
Monkey Cage but heard about the myth over lunch one day at work. I’m also reluctant to say that someone who may
have asked an actual academic at a different department from the one Sides
teaches at, and was told the “myth” is true, is ignorant from an academic
perspective. What if this latter person
is a journalist? His blogger friend
accepts the authority of Sides and his 1992 book, but the journalist’s own
source tells him Sides is wrong. The
journalist publishes what his source has told him. In what sense, then has “[T]his . . . been
known since 1992,” when newspapers say otherwise? At best, surely, the idea is contentious.
Sides probably takes it for granted that a certain amount of
an academic’s argument rests on, well, his authority as an academic (his
placement in a network of other academics, his publication history, and so
forth), but not everybody will. I’m
actually less concerned about people who dismiss everything academics say (if
they exist) than with people who feel vaguely that everything published has
gone through some thoroughly rigorous vetting process that prevents untruths
from getting through.
The same issue comes up in a letter to the editor of the New York Times Sunday Book Review this
week, responding to Alan Wolfe’s review
of Diane Ravitch’s new book, in which she repudiates the positions she has been
defending for nearly thirty years. Ravitch—who,
in spite of her taking
a position in the second Bush administration, derives much of her authority
from her reputation as an open-minded liberal—for years has supported education
policies pushed mostly by the right (for example, by the National Review). Now she is
convinced that the data shows those policies are wrong. But, the letter writer points out, the
empirical data has been available for
twenty years already. Yet they did
not determine Ravitch’s position when they first became available. She waited for some time, it seems, before
allowing new research to influence the position she ought to take. So, unless I’m missing something, I don’t see
how it can be the case that groundbreaking academic publications mark the time
from which something ought to be considered “known.”